Island Sustainability, Livelihood

and Equity Program
 
 
 
 

Island Food Systems

South Sulawesi Data Set
 
 
 
 
 
 
 
 

By

Hasanuddin University

Ujung Pandang, south Sulawesi

Indonesia

1999

CONTENTS

Page

Contents i
 

List of Tables ii
 

List of Appendix vi
 

History 1
 

Physical Features 2
 

Climate 4
 

Topography and Soil System 6
 

Human Resources 6
 

Natural Resources 8
 

Aquatic Resources 9

Local Market 10
 

Inter-sulair 11
 

Export 11
 

References 71
 
 
















i
 
 
 
 
 
 
 
 

List of Tables



No. Title Page
 

1 Area of Region in South Sulawesi 3
 

2 Type of Climate in South Sulawesi 5
 

3 Amount and Density of Population in South Sulawesi 7
 

4 The Increase of Fisheries Production in South Sulawesi 9
 

5 Fluctuate Production of Food Crops in South Sulawesi 12
 

6 Rice Production in South Sulawesi 13
 

7 Vegetable Production in South Sulawesi 16
 

8 Fruit Production in South Sulawesi 17
 

9 Farmer Plantation Production in South Sulawesi 18
 

10 Comparison of the Production of Small Plantation and

Large Plantation in South Sulawesi 19
 

11 Superior Commodities of Export Market or Import

Substitution in South Sulawesi 25
 

12 The Development of Livestock/Poultry in South Sulawesi 27
 

13 The Production of Eggs Per Regencies/Municipalities in

South Sulawesi 28
 

14 Timber Production in South Sulawesi 31
 

15 Production and Value of the Export in South Sulawesi 31
 

16 Production of Minerals in South Sulawesi 32
 

17 Number of Generally Stations, Installed Capacity and Rated

Capacity by Unit PLN Region VIII in South Sulawesi 33
 

18 The Number of Telephone Connections and the Utilization

Of Pulse in South Sulawesi 34

ii

No. Title Page
 

19 Number of Telephone Connections by Municipality 34
 

20 Number of Schools by Status in South Sulawesi 36
 

21 Household by Regency Municipality and Facilities of

Drinking Water in South Sulawesi 38
 

22 Prevalence of 100 in Indonesia 41
 

23 Prevalence of Nutritional Anemia in Indonesia in 1995 42
 

24 Prevalence of Xeropthalmia in Fifteen Province National

Survey in 1978 and 1992 43
 

25 Energy, Protein, and Fat Availability (capita/day) 44
 

26 Nutrient Consumption According to Income Level 44
 

27 Prevalence of PEM in Under-five Child Based on Province

South of Sulawesi 46
 

28 Population on Percentage of Urban Areas per Province

In Indonesia 51
 

29 Workforce by Type of Residence and Sex (1980-1996) 54
 

30 Labor Force participation by Type of Residence and Sex

(1980-1996) 55
 

31 Unemployment Rate Type of Residence and Sex (1980-1996) 56
 

32 Unemployment Rate by Level Education and Sex (1990-1996) 57
 

33 Distribution of Employed Population by Job Status and Sex

(1990-1996) 58
 

34 Distribution of Employment Population by Type of Work

And Sex (1980-1996) 59
 

35 Percentage Distribution of Employed Population in Informal

Sectors by Type of Residence, Sex, Formal/Informal Sectors 60
 

iii

No. Title Page
 

36 Percentage Distribution of Employed Population by Field of

Work and Sex (1980-1996) 60
 

37 Percentage of Population Who are Employed by

Working Hours and Sex (1986, 1975, 1990, 1996) 62
 

38 Farm Sectors Contribution in South of Sulawesi

(1994-1997) 63
 

39 List of Some Tourism Resorts in South of Sulawesi 64
 

40 The Number of Tourists in South of Sulawesi 66
 

41 Realization of Reforestation in South of Sulawesi 67
 
 



















































iv

List of Appendices





No. Title
 

1 Governance Organizational Structure of

South Sulawesi Province
 

2 List of Allocation of Assignment of Rubbish

Transportation Armada and Servicing Schedule
 

3 Percentage Potential of Rubbish Utilization
 

4 Prevalence of Total energy Deficiency at

South Sulawesi 1997-1998
 

5 Prevalence of PEM Acute and Chronic at

South Sulawesi
 

6 Political System in Indonesia
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

v

Indonesia's independence was proclaimed on August 17, 1945. The committee for Indonesian independence promulagated the formation of eight new provinces on August 18, 1945. One of the eight provinces was Sulawesi, with its capital, Makassar (now Ujung Pandang). Dr. G.S.S.J. Ratulangi was named the first Governor of the Province.
 

In 1945, the Sulawesi province was divided into two new provinces: 1) North and Central Sulawesi province and 2) South and Southeast Sulawesi province which is composed of eight districts i.e. Luwu, Mandar, Pare-Pare, Makassar, Cone, Bantaeng and Southeast Sulawesi province.
 

On December 17, 1957, provoked by some discontented parties in several districts in the two new provinces, the Indonesian government decided to reorganize the Sulawesi province and divided the province into four new provinces, namely:
 

The province of South Sulawesi constitutes 21 regencies and 2 municipalities. According to South Sulawesi city planning, the province is divided into six priority areas, namely:
 
  The province of South Sulawesi's area is 6248254 ha. It is composed of 21 regencies and 2 municipalities and it consists of 185 districts as shown in Table 1.
 
 



Table I

Area of Region in South Sulawesi

Regencies/Municipalities Area Total District Village Groove Total
Luwu 1,779,143 21 81 8 89
Tator 320,577 9 63 29 83
Soppeng 135,944 6 27 14 41
Sajo 250,619 10 65 14 79
Bone 45,590,021 21 99 6 105
Sinjai 81,996 5 36 9 45
Bulukumba 115,467 7 65 9 74
Selayar 90,335 5 17 3 20
Bantaeng 39,583 3 16 7 23
Jeneponto 73,764 5 50 8 58
Takalar 56,651 6 46 9 55
Gowa 188,351 9 57 12 69
Ujung Pandang 17,577 11 - 62 62
Maros 161,912 4 38 9 47
Pangkep 111,229 9 45 25 70
Barru 117,471 5 17 7 24
Pare Pare 9,933 3 - 12 12
Sidrap 188,325 7 24 15 39
Enrekang 178,601 5 22 6 28
Pinrang 196,177 8 30 16 46
Majene 94,784 4 21 8 29
Mamuju 110,781 6 - 4 27
Total 6,248,254 178 887 308 1195
Polmas 478,153 9 45 25 70

 
 

2.1 Climate

South Sulawesi has an equatorial climate. In the southern part of the peninsula, the climate is characterized by the alternation of trade winds. From late November to March, the winds blow from the west bringing heavy rain on the west coast in December and January and some rain also on the central plains just behind the mountains (Latimojong and Lompobattang), which vertically cleave from north to south of South Sulawesi. From April to October, they blow from the east, bringing relatively moderate rain on the eastern and central plains, with May and June being the wettest months.
 

The two sides of the peninsula (Western and Eastern parts) have alternating rainy seasons. This means that a poor harvest on one side may be partly compensated for a good harvest on the other side. The climate in South Sulawesi can be seen in table 2.
 
 

Table 2

Type of Climate in South Sulawesi

Type of Climate
Dry Month
Location
A 1.0-1.5 Mamuju, partly Polmas, Luwu, Majene and Enrekang
B 1.5-3.0 Tana Toraja, Wajo, partly Bone, Majene, Polmas, Enrekang, Luwu, Pinrang, Gowa and Bantaeng
C 3.0-4.5 Sidrap, Barru, Pare-Pare, Pangkep, Selayar, Soppeng, partly Majene, Polmas, Pinrang, Maros Sinjai, Gowa, Bantaeng and Bulukumba
C 4.5-6.0 Ujung Pandang, Takalar, partly Maros, Gowa, Jeneponto, Bantaentg, and Bulukumba
E >6 partly Jeneponto, Bantaeng and Bulukumba

Source: The first class of climatology of Panakkukang
 

Based on the percentage of slope of the plains, flat land and steep sloping, one is 43% and 6% respectively of the total area found in the southern side, especially in Wajo, Bone, Barru, Soppeng, Sidrap, Pangkep, Bulukumba, Jeneponto and Takalar.
 

Hilly or mountainous plains, mostly located in the norther part such as Majene, Polmas, Tana Toraja, Pinrang and Mamuju.
 

According to a survey report issued by Lembaga Penelitian Tanah in Bogor, soils in South Sulawesi can be grouped as follows:
 

The population of South Sulawesi in 1995 was 7,520,050, with an average growth rate of 1.58% per year. The corresponding average growth rate in the eastern part of Indonesian was 1.87% per year (see table 3).

Table 3

Amount and Density of Population in South Sulawesi

Regencies/Municipalities Area (km2) Men Women Total
Selayar 90,335 48,257 52,803 101,060
Bulukumba 115,467 164,508 182,669 347,177
Bantaeng 39,583 72,665 77,441 150,105
Jeneponto 74,979 149,284 159,879 309,163
Takalar 57,262 103,992 114,606 218,598
Gowa 188,333 230,958 243,449 474,407
Sinjai 81,996 96,138 103,812 199,950
Maros 161,912 122,708 128,260 250,968
Pangkep 111,229 125,195 137,764 262,959
Barru 117,472 71,868 78,950 150,818
Bone 455,960 293,182 331,927 625,109
Soppeng 150,000 109,431 123,211 232,642
Wajo 250,619 186,499 225,410 411,909
Sidrap 188,325 113,763 126,509 240,282
Pinrang 196,977 147,277 158,777 306,054
Enrekang 178,601 77,618 80,650 150,668
Luwu 1,779,142 390,660 395,697 786,587
Tana Toraja 320,577 193,039 189,225 382,264
Polmas 418,153 205,383 220,366 425,749
Majene 94,784 65,436 69,885 135,321
Mamuju 1,105,781 144,594 133,600 278,194
Ujung Pandang 17,579 617,471 634,274 1,252,245
Pare Pare 9,933 49,157 53,381 103,038
Total 6,264,139 3,779,613 4,022,635 7,807,248

 
 
 

Table 3 shows that the population density in southern areas of South Sulawesi province (e.g. in the districts of Jeneponto, Sinjai, Bulukumba, Bantaeng and Takalar) is higher than that of the northern areas. The lowest population density in the northern areas are Bantaeng and Luwu districts.
 

3. Natural Resources

3.1 Aquatic Resources

Fisheries in South Sulawesi consist of marine and fresh components. The marine varieties captured in this area are generally in water in excess of 200 meters depth. Along the west coast of South Sulawesi, the continental shelf is extremely narrow except in the west and south off Unjungpandang, where extensive coral formation and other relatively shallow waters are located in parts of Bone Bay and around the islands at the southern extremity of South Sulawesi. Despite the limited extent of shallow waters which usually is associated with productive fishing grounds, production on this costal area was 262,831 in 1997.
 

Of the 18 regencies which yield marine fisheries, it is very obvious that marine fisheries are distributed almost evenly. There are five regencies that produce marine fisheries of more than 20,000 tons. They are Luwu ( 28,535 tons), Takalar ( 25,059 tons), Bone (24,905 tons), Sinjai (21,974 tons), and Polmas (21,726 tons). Regencies that crop 10 to 15 tons are Pinrang, Mamuju, Maros, Pangkep, Jeneponto, Majene, Ujung Pandang, and Barru. Other regencies produce 10,000 tons or less.
 
 

Table 4

The Increase of Fisheries Production in South Sulawesi from 1992-1997

Year
Marine Fisheries
Fresh Water Fisheries
Total

Production

 

Increase

(%)

Production

(Ton)

Increase

(%)

Waters Cultivation
Total
Increase 
(%)
1992 323,372 - 24,650 106,037 130,687 - 863,059 -
1993 267,900 15.29 26,445 87,240 113,685 -13.01 381,585 5.10
1994 242,135 -9.62 22,488 79,111 101,599 -10.63 341,734 -10.44
1995 252,790 4.40 26,208 84,042 110,250 8.51 363,040 6023
1996 258,361 2.20 28,908 89,176 118,084 7.11 376,445 3069
1997 262,831 1.73 47,067 89,986 137,053 16.06 399,884 6023

During 1992-1997, the annual growth rate of fisheries production was about 2.16%



Marine Fisheries

The marine resources exploited are:

Marine fisheries production in this area is mainly derived from capture outcomes around the coastal waters. The number of operating capture fleet in 1997 amounted to 29,173 ships, which consisted of 2,643 motor boats, 5,997 patching motors, and 20,533 unmotorized boats. This figure, compared to one of 1996 which totaled 28,686 boats, is up 1.7%. Motor boats are up 28.4% from 1996. There were 199,252 people working in the industry in 1997.
 

Freshwater fish production is coming from general water (lake, river, and brakish) and from fish cultivation (plus salt water and rice field ponds). General waters can be found in 11 regencies and fish cultivation can be found in almost all of the 23 regencies/municipalities.
 

Freshwater fisheries production is coming from general waters in 1997. Most of them are from Wajo (12,120 tins), Soppeng (3,390 tons), Sidrap (1,799 tons), while other regencies are below one ton.
 

Fish cultivation is mostly found in Pinrang (16,642 tons), Maroc (14,264 tons), and Pangkep (8,571 tons). While other regencies, including Enrekang and Pare-Pare, produced fish cultivation below 8,000 tons. There are approximately 96,357 fish farmers engaged in the cultivating process.
 

4.2 Marketing System
 

4.2.1 Local Market

The marketing system for fish handled through private merchants (ponggawa) have become well established over a period of many years. Most of the fish is sold by private contract.
 

Private merchants usually own the fishing vessels or may have a tied agreement with fishermen whereby the merchant (collector) provides financial and other assistance in return for purchasing right to the catch.
 

The marketing system is fairly complex with fish sometimes changing ownership several times as it passes between collectors, consignors, dealers, wholesalers, grocers, retailers.
 
 
 

Fishermen Collectors (Ponggawa) RetailersConsumers

Papalele Grocers/

Pabololang wholesalers Retailers

Perantara
 

Fishermen Collectors (Ponggawa) RetailersConsumers

Wholesaler

Grocers (Pabololang)

Retailer
 

Grocers are a common feature of fish marketing in Indonesia and perform the function of middlemen (ponggawa) who buy fish from grocers or wholesalers for sale to retailers at a single retail market. There may be several grocers operating in the larger retail markets and grocers may also be operating as retailers.
 

4.2.2 Intersulair

The distribution of fresh fish in Indonesia is generally inhibited by the geographic spread of archipelago and the location of the major fish production areas in relation to the concentrations of population. Usually these fresh fish, salted, boiled and dried, are sold to Java and East Timor.
 

4.2.3 Export

Most fish exported from south Sulawesi to Europe, United States, Japan, Singapore, Hong King, Taiwan, Korea, China, Malaysia, Thailand, France, Spain, Denmark, Holland, United Kingdom, Germany and Belgiu.
 

Commodities exported are frozen tiger prawns, frozen squid, frozen groupers, frozen skipjack, sea cucumber, finfish shark, seaweed, snappers.
 

4.3 Terrestrial Resources
 

4.3.1 Agricultural Crops

The agricultural plants cultivated in South Sulawesi are rice, corn, cassava, sweet potato plant, peanut, soybean, and green peas. Production and productivity of these plants fluctuate and are varied as shown in table 5.
 
 

Table Five

Fluctuate Production in South Sulawesi in 1993-1997 (tons)

No. Agriculture Plant 1993 1994 1995 1996 1997

 
 
 

2

3

4

5

6

7

Rice

Wet Land

Dry Land

Corn

Cassava

Sweet Potatoes

Peanuts

Soybean

Mug Bean

3330591

3272780

30811

533577

635735

74481

49036

77146

50716

3467984

3434997

32987

559083

557626

62006

53249

90115

81635

3727081

3693215

33866

738935

604751

89431

86431

77245

77613

4052228

4008277

43951

842332

684256

100407

62977

47695

70279

3769450

3728336

41114

872070

625824

77721

41256

50111

40885

Source: Department of Agriculture Plants
 

Table 5 shows that rice production in South Sulawesi in 1997 reached 3,728,336 tons. This figure indicates the slope of 279,891 tons or 6.98% when compared to dry rice production in 1996 which was 4,008,227 tons. The largest producer of dried rice is Luwu regency, with a total production of 547,469 tons or 14.68% of the total production of rice in South Sulawesi. The second largest producers are Bone and Wajo regencies with total production of 535,119 tons (14.36%) in Bone and 400,459 tons (10.74%) in Wajo. The lowest production was in Pare-Pare (3,110 tons,0.8%) and Selayar (3,387 tons, .09%).
 

There was a decrease of 6.52% in rice production in 1997. This was caused by the decrease of the harvest area from 841,006 ha in 1996 to 786,213 ha in 1997 (6.7%). An elongated dry season in 1997 also caused a decrease in productivity (outcome per hectare) of 0 .5% .
 
 

Table 6

Rice Production in South Sulawesi, 1993-1997 ( in tons)

Regency/ 

Municipalities

1993 1994 1995 1996 1997
Selayar 4583 4292 4307 2881 3387
Bulukumba 153650 144119 155826 163358 151954
Bantaeng 57525 55607 61661 61714 55901
Jeneponto 52495 53211 55797 2881 59711
Takalar 75943 78028 87505 92450 85248
Gowa 181185 180221 191978 192127 188679
Sinjai 69511 71292 69626 72630 72076
Maros 167996 178345 182474 198068 192295
Pangkep 126305 120841 114742 113203 106737
Barru 58128 49061 57725 60992 55364
Bone 549203 531804 571646 576184 535119
Soppeng 148444 164518 182090 211044 178896
Wajo 328543 340821 352634 462690 400459
Sidrap 230283 273408 295188 339992 321384
Pinrang 251879 330507 376869 386655 340919
Enrekang 52356 48143 46636 41353 47395
Luwu 432935 458323 518007 561221 547469
Tana Toraja 106855 101116 121006 127263 100337
Polmas 145858 165799 167244 183971 176810
Majene 13565 13300 8282 12747 13000
Mamuju 51857 57703 56016 68282 77975
Ujung Pandang 10244 11746 13607 14770 14115
Pare Pare 3437 2792 2349 2482 3110
Total 272780 3434997 3693215 4008277 3728336

 
 

Dry field production in South Sulawesi in 1997 amounted to 41,114 tons or 1.09% of the total rice production in South Sulawesi. When compared to the total production in 1996 which was 43,451 tons, there was a decrease in production in 1997. The decrease amounted to 2,837 tons or 6.45%. This was caused by the reduction in productivity from 23.14 quintal hectares in 1996 to 22.50 quintal hectares in 1997 (2.77%) and by an elongated dry season and the attack of plant diseases.
 

Corn production in south Sulawesi in 1997 reached 872,070 tons of dried corn. When compared to the 1996 production figure of 842,332 tons, there was an increase of 29,738 tons or 13.53%. This increase was caused by the rise in production amounting to 9.49% (from 24.98 quintal in 1996 to 27 quintal in 1997).
 

Cassava is one of the staple foods consumed as a carbohydrate supplement along with rice and corn. In 1997, cassava production in South Sulawesi reached 625,824 tons of wet cassava. The increase of cassava production in South Sulawesi fluctuates also due to the decrease in harvest area and the elongated dry season and the attack of plant diseases.
 

Peanut production in 1997 in South Sulawesi was 41,256 tons, a decrease compared to the 1996 production figure of 62,977 tons. There was a decrease in harvest fields from 54,231 ha in 1996 to 34,914 in 1997 (35.62%). Productivity has improved by approximately 1.81%.
 

Most of this total production is contributed by the Bone regency (8,415 tons or 20.40%) and Bulukumba regency (8.406 tons or 20.38%). The remaining figures are spread over other regencies, with their combined production total of less than 9.23%.
 

The total production of soybeans in 1997 was 50,111 tons which was an increase of 2,416 tons (5.06%) compared to 1996. In 1996, the total production of this commodity was 47,695 tons. An extended harvest of 3,311 ha (9.62%) soybean fields was included, but the productivity of soybeans in 1997 was down significantly.
 

The production of beans in South Sulawesi in 1997 reached 40,885 tons. When compared to the 1996 production figure of 66,023, a decrease of 25,142 tons (38.08%) is seen. This was caused by a drastic decrease in soybean fields since 1995.
 

4.3.2 Horticulture Crops

Vegetable and Fruit Production

Other agricultural commodities cultivated in South Sulawesi are vegetables and fruits that are classified into horticultural plant groups.
 

Vegetable Production

In addition to rice and palawija crops, farmers in South Sulawesi also cultivate vegetables of all kinds in order to fulfill the peoples' need for healthy foods. However, there are only 19 kinds of potentially cultivatable vegetable plants, and they can have a quite significant quantity of production. Table 7 has listed ten kinds of vegetable plants and their size of production from 1996-1997 in tons.
 
 










Table 7

Vegetable Production in South Sulawesi (1996-1997 in tons)

Vegetables
1996
1997
Percentage

(%)

Onion 58316 64464 10.54
Garlic 689 157 -77.21
Leek 20794 6372 -69.36
Potatoes 35370 26033 -26.40
Cabbage 78421 17110 -78.18
Chinese Cabbage 9079 15380 -19.39
Carrots 7543 11690 54.98
Radish - - -
Red-bean 5749 2180 -62.08
Kidney-bean 23065 13258 -42.52
Chili 45325 26165 -42.27
Tomatoes 34164 20455 -40.13
Eggplant 22921 13577 -40.77
Green-bean 5333 7795 46.17
Cucumber 11872 5895 -50.35
Squash 6203 2949 -52.46
Kangkong 13529 6722 -50.31
Spinach 6674 3584 -46.30
Pumpkin 3039 - -100.00
Total 396096 232096

 
 

From this data, you can see that the total production of vegetables in South Sulawesi in 1997 was 232,096 tons, a decrease of 163,996 tons (41.4%) from the 1996 total production of 369,092 tons. Commodities which experienced a drastic drop were cabbage (78.18%), garlic (77.21%), leek (69.36%), red peas (62.08%), and other (40%). Commodities experiencing an increase in production are carrots (54.98%), green beans (46.17%) and onions (10.54%).
 

Fruit Production

South Sulawesi peasants cultivate fruit for commercial and/or personal consumption. Table 8 introduces 19 varieties of fruit and the production figures for 1996 and 1997.
 
 

Table 8

Fruits Production in South Sulawesi (1996-1997)

Fruits
1996
1997
Percentage(%)
Avacado 6577 4282 -34.89
Lanseh-fruits 14085 8920 -36.67
Durian 8533 8955 -4095
Guava 19365 17560 -9.32
Orange 343797 316788 -7.86
Mangoes 124138 60159 -51.54
Jack-fruit 26760 30227 13.21
Pineapple 5278 1429 -72.93
Papaya 22087 7087 -67.91
Banana 460143 171391 -62.75
Rombutan 5975 4616 -22.74
Snake fruit 11055 6315 -42.88
Apple-star 98 66 -32.65
Soursop 2779 1344 -51.64
Breadfruit 32419 14794 -54.37
Mangosteen 44 150 34.90
Star-fruit 299 250 -16.39
Passion-fruit 42391 24205 -57.10
Watermelon 45177 - -
Total 1170940 654183

 

Plantation

The plantation sector is one sub-sector that contributes a great amount of reserves for our country besides oil and natural gas. Several commodities such as coffee, rubber, clove, palm oil and coca have exported commodities (in ton) from 1995-1997.
 
 

Table 9

Farmer Plantation Production in South Sulawesi (1995-1996)

Plantations 1995 1996 1997 Percentage
Coconut 137208 158491 15793 -0.17
Coffee 26500 28014 32120 7068
Clot clove 10791 9683 8901 -4.12
Cocoa 95857 116394 130192 5076
Cashew Nut 19396 20732 21096 0.87
Pepper 2161 2173 2252 1.80
Nutmeg 395 396 401 0.63
Candle Nut 18941 24135 24266 0.27
Kapok Tree 8348 6207 7106 7.00
Vanilla 119 171 189 5.13
Sugar Cane 9232 30969 36408 -
Tobacco 364 267 308 7.40
Cotton 5109 52075 2490 -29.95
Sago 16083 21621 28829 15.47
Palm Oil 17799 99870 255140 59.83

Other Plantations

In addition to the prescribed plantation sectors mentioned above, there are still other plantations cultivated by local farmers (small plantations) and estate plantations (large plantations. in South Sulawesi. These plantations produce rosella, tea, sugar-palm, siwalan, almonds, ginger and areca-palm. Table 10 shows the comparison between small plantations and large plantations.
 
 

Table 10

Comparison of the Production of Small Plantations and Large Plantations

in South Sulawesi ( in tons)

Plantation Small Plantation Large Plantation Total
Cashew nut 20732 169 20901
Pepper 2173 - 2173
Nutmeg 396 - 396
Candle Nut 24135 - 24135
Kapok Tree 6207 - 6207
Vanilla 171 - 171
Sugar Cane 30969 61560 92619
Tobacco 267 - 267
Cotton Plant 5075 - 5075
Rosella 15 39 54
Sago 21621 - 21621
Tea - 301 301
Palm Sugar 1570 - 1570
Fan Palm 2602 - 2602
Canary Tree 68 - 68
Ginger 567 - 567
Areca Nut 112 -- 112

 
 
 

4.3.3 Market and Retailing of Horticultural Products

There is a large potential for horticultural products, especially vegetables, in Tinggi Moncong sub district. In this area there are some kinds of vegetables such as cabbage, carrots, red beans, garlic, onions, lettuce and potato, which have been marketed not only in that sub district but also in Ujung Pandang,the capital of South Sulawesi and inter-island to Kalimantan. The technical aspects of marketing is still conventional and therefore cannot maximize the income of the people.
 

Distribution is one aspect of marketing that emphasizes how products can be easily received by consumers. The distribution process can be efficient if it can get the product to the consumer at the cheapest price and distribute the proceeds fairly to all those involved in the producing and distributing system.
 

There are three vegetable distributors who have an important role in the distribution system. They are the farmer/producer, agent and consumer. The farmer is the person who has a direct relation with the process of vegetable production. The consumer is the last purchaser of the vegetable product and the agent is an entrepreneur who is the distributor of the vegetable product.

The agent who is involved directly in vegetable distribution at Kanreapia village is:
 

The marketing activity for crops produced at Kanreapia village does not cause difficulties to the farmer, because the collection trader comes to the farmer directly for trade transactions. The vegetable distribution system at Kanreapia village can be seen in Figure 5.
 
 







It can be seen in Figure 5 above that vegetable distribution from farmer to consumer is indirect because there are two agents, the collection trader and the retailer. The Marketing institution (farmer and agent) have separate activities, therefore the benefit of ownership from this marketing activity is divided between farmer and agent.

Basically, the vegetable farmers at Kanreapia village have not been oriented to an agri-business system. It can be seen that the farmers, who have the facilities to harvest, do not want to take the risk of storing their products but want to sell their products as soon as they can. This has allowed the collection trader to become more dominant in fixing the price at the farmer's level. This in turn has kept the farmer from having market information or knowledge. Consequently, the farmer earns less for his product than the agent earns. This can be seen by the marginal income earned by every institution that participates in vegetable distribution at Kanreapia village.
 

4.3.4 Local Development Policy

South Sulawesi development policy has been implemented since Palaguna Governor took the office for the first time (i.e. Tri Program).
 

1. Tri program is a combination of three basic strategies:

Grateks is the elaboration of the Tri program. This strategy is clarified to answer the challenge and the chances that are created as an effect of monetary crisis that is followed by economic crisis in Indonesia as can be seen in Figure 6 below.
 
 
 


 
 
 


 
 
 











Based on this Grateks concept, the considered superior candidate is the main commodity of South Sulawesi that has export prospects and/or import substitution and also other commodities, though not main commodities, that still have a good export prospect.
 

Criteria of choosing the Grateks considered superior commodities:

Table 11

Superior Commodities of Export market or Import Substitution

Sub Sector
Commodities
Export
Import

Substitution

Food Plantation Rice

Corn

Soybean

Ubi Kayu


 
 
 

X

X

X

X

Farming Cocoa

Arabica Coffee

Anacardium Occidentale

Palm Oil

Cotton

Sugar Cane

X

X

X

X


 
 
 
 
 

X

X

Fishery Shrimp

Sea Cucumber

Flying Fish Egg

Crab

Sea Fish

Seaweed

X

X

X

X

X

X

Animal Husbandry Bali's Cow

Goat

X

X

X
Firestry Rattan

Pine Tree Sap

X

X


 
 

4.3.5 Livestock and Poultry

Basically, the agricultural sector is developed to increase the amount of livestock production in order to improve the quality and quantity of public consumption, expectially to nurture public health. It is also hoped diversification of livestock will help increase the breeders and the farmers incomes.
 

The type of livestock bred in South Sulawesi is cows, dairy cows, buffaloes, horses, sheep and pigs. South Sulawesi citizens also breed several kinds of poultry such as domestic chicken, imported chicken and ducks.
 

Livestock/poultry population in South Sulawesi is increasing annually. To get a better general insight of the increase of the livestock/poultry population, see table 12.
 
 












Table 12

The Development of Livestock/Poultry in South Sulawesi

Type
1995
1996
1997
Increase/Year
Dairy Cow 35 35 30 -14.29
Cow 805,868 827,554 840,642 1.58
Buffalo 286,467 359,024 342,263 -4067
Horse 168,495 143,265 171,661 -11.18
Goat 452,959 461,335 468,967 1.65
Sheep 1,832 1,938 1,845 -4080
Pig 554,759 574,674 576,061 0.24
Buras Chicken 14,923,830 14,948,937 14,961,920 0.09
Ras Chicken 4,174,135 4,181,758 4,893,485 17.02
Duck 2,968,776 2,298,589 2,322,324 1.03

 
 
 

Table 12 indicates that the cow cattle population in 1996 was 827,554, or up 1.58% to become 840,642 in 1997. Buffalos are decreasing (4.67%) and horses are down (11.18%). The increase of small cattle population (goats, sheep and pigs) is not very high but is fairly significant 1.65%, 4.8% and .24% consecutively.
 

Poultry (domestic chicken) is up .09%, import chicken up 17.02% and ducks up 0.08%.
 

Egg Production

Egg production in 1995 was 18,586 tons, 24,562 tons in 1996 and 24,700 tons in 1997. The spread of domestic egg production is nearly even in each regency, while that of ras egg is varied. Production of import chicken eggs in 1997 is largely found in Sidrap (9,590 tons), Wajo (2,064 tons), Pinrang (1,435 tons), and Gowa (1,411 tons). In other regencies, the production reaches an amount ranging from 26 tons to 666 tons.
 
 

Table 13

The Production of Eggs per Regency/Municipality in South Sulawesi

Year 1997 (kg)

Regencies/Municipalities
Domestic Chicken
Import Chicken
Ducks
Amount
Selayar 82,377 19,907 22,635 124,919
Bulukumba 210,639 314,979 338,454 864,072
Bantaeng 107,051 83,918 220,187 411,156
Jeneponto 105,659 25,791 384,377 515,827
Takalar 256,861 440,815 414,860 1,112,536
Gowa 299,029 1,732,329 1,063,731 3,095,098
Sinjai 153,666 1,118,430 226,287 498,383
Maros 194,994 666,754 873,842 1,735,590
Pangkep 317,574 78,437 1,480,701 1,876,712
Barru 114,764 465,910 307,426 888,100
Bone 637,650 74,732 152,487 864,869
Soppeng 108,910 307,180 574,093 990,183
Wajo 333,351 2,064,828 550,530 2,948,709
Sidrap 456,816 9,590,328 1,104,730 11,153,674
Pinrang 376,817 1,044,793 1,205,897 2,627,507
Enrekang 109,838 136,345 50,524 296,707
Luwu 843,842 662,615 495,284 2,001,741
Tator 243,408 - 282,261 525,669
Polmas 291,367 144,267 803,218 1,238,852
Majene 178,354 33,084 168,585 380,023
Mamufu 647,680 - 78,116 725,776
Ujungpandang 135,783 - 80,618 216,401
Pare-Pare 80,889 406,019 8,094 459,002
Total 6,287,319 18,411,461 10,886,937 35,587,517

 

4.3.6 Marketing System of Livestock

The marketing system is one main aspect that has relation with marketing decisions. Basically, this marketing aspect has a close relationship with marketing expansion. Therefore, broadening the marketing system can broaden the market of that product.

Next will be seen marketing distribution system of food plantation, horticulture, farm fishery and animal husbandry (ranch)
 

Farmer Consumer

Farmer Collection Trader Consumer

Farmer Retailer Consumer

Farmer Big Trader Retailer Consumer

Farmer Agent Retailer Consumer

Farmer Agent Big Trader Consumer
 
 
 
 
 
 
 
 
 
 
 
 

Figure 7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

4.3.7 Forest Product

Timber Production

Timber production is divided into two components according to its sources. The timber that belongs to the industrialists who have the rights to control the forestry (HPH) and the non-HPH timber productin. The HPH timber is the timber resulted from a felling attempt within an HPH area. The non-HPH timber is the felling timber beyond and HPH area, commonly conducted by civilian using traditional felling devices. In Table 7, the timber production in South Sulawesi was 376,949 m3 (44.01%) and non-HPH timbers amounted to 211,062 m3 (55.99%). We can see from the figure that the timber production in South Sulawesi during the last couple of years has declined as much as 33.98% annually.
 

Non-Timber Production

Non-timber production in 1996 amounted to 9,830 tons, which bracketed rattan production amounted to 9,090 tons and resin production totaled 740 tons compared to the 1997 production figure. This is an increase of 10.31%. Rattan production is up10.98% and resin production is up 2.89%.
 
 






Table 14

Timber Production in South Sulawesi in 1995-1997 (m3)

Commodities
1995
1996
1997
Increase/Yr 
(%)
HPH Timber 257.611 165.887 277.957 67.55
Non-HPH 101.343 211.062 159.487 -24.43
Timber --- ----- ----- -----
Total 358.954 376.949 437.444 16.05

 
 
 

4.3.8 Quarry and Mineral Resources

The primary mining output that has been excavated in South Sulawesi is nickel and its production has fluctuated from 1993-1997. Table 15 shows the production and export value of nickel produced by South Sulawesi from 1993-1997. Table 15 shows the numbers of production of minerals in South Sulawesi in 1995.
 
 

Table 15

Production and Value of the Export in South Sulawesi (1993-1997)

Year Production (Kg) Export Value
1993 34,805,620 152,767,301
1994 40,918,873 214,610,244
1995 454,625,515 301,774,259
1996 39,503,110 247,538,619
1997 32,012,192 153,194,850

 

Source: PT.INCO
 
 



Table 16

Production of Minerals in South Sulawesi 1995

Municipality/

Regency

Silicat

(Ton)

River

Deposit

Lime stone

(ton)

Andesit

Granit Rocks

Basal

Ignedes

Bantaeng -- 34 -- -- --
Gowa -- 154297 -- -- --
Maros -- 4846 1598 -- --
Pangkep 386827 -- 1476451 726359 --
Barru -- 19945 125 -- --
Bone -- 11930 -- -- --
Soppeng -- 17365 -- -- --
Sidrap -- 7894 -- -- --
Pinrang 19720 155 -- -- 1568
Total 400547 216266 1478174 726359 1568

Source: Regional Office of Department of Mining and Energy of South Sulawesi
 
 
 

5.1 Electricity

State enterprise electricity provides electricity in the province of South Sulawesi. All regencies (=90%) are served by electricity distributed by this state enterprise.
 
 













Table 17

Number of Generally Stations, Installed Capacity and Rated Capacity

by Unit PLN Region VIII in South Sulawesi

Branch
Generally Station
Installed Capacity
Rated Capacity
Tello Sector 11 119046 69700
Bakaru Sector 2 12600 12600
Ujung P. Branch 22 2340 2030
Pare-Pare Branch 22 11785 6561
Watampone Branch 27 22272 14336
Pinrang Branch 31 20632 11134
Bulukumba Branch 38 18067 10350
Palopo Branch 28 19656 14082
Total 206 336634 252538

 
 
 

Other sources of energy and fuel on the island include firewood, kerosene, and liquefied petroleum gas (LPG).
 

5.2 Communication Services and Facilities

Communication facilities are adequate in South Sulawesi. They include government telephone, connection of telex, telegraph office, thousands of privately owned telephones (wartel), fax facilities, radio and TV distributed among municipalities.
 

Since 1993 telephone utilization has been improving rapidly. This can be seen by the number of telephone connections. Pulse utilization has been increasing from 1993-1997.
 
 

Table 18

The Number of Telephone Connections and Utilization

of Pulse in South Sulawesi from 1993-1997

Year
Telephone Connection

(Units)

Pulse
1993 41,351 405,508,549
1994 58,794 546,363,295
1995 82,967 601,852,946
1996 88,659 796,041,183
1997 105,080 1,164,423,933

 
 

The number of telephone main connections based on regency can be seen in table 19 below.
 
 

Table 19

Number of Telephone Connections by Municipality

Regency/

Municipality

1991 1992 1993 1994 1995
Selayar 192 295 337 542 631
Bulukumba 373 447 534 692 897
Bantaeng 364 474 508 750 913
Jeneponto 183 262 300 363 522
Takalar 183 269 281 569 692
Gowa 373 599 703 4189 8228
Sinjai 423 481 494 655 832
Maros 468 556 629 821 883
Pangkep 388 428 528 678 820
Barru 193 250 299 446 614
Bone 928 1295 1459 1823 2273
Soppeng 189 360 583 737 820
Wajo 448 570 737 853 1060
Sidrap 440 530 585 525 1752
Pinrang 387 593 796 1135 1597
Enrekang 183 226 259 350 473
Luwu 819 1436 1576 1733 2466
Tator 835 482 831 1774 2337
Polmas 387 453 525 658 1155
Majene 192 290 318 536 711
Mamuju 200 212 383 464 700
U. Pandang 21789 24569 25420 32216 44380
Pare-Pare 1700 1700 1845 2525 3143
South Sulawesi 31635 36777 39930 55034 77901

Source: Division Office Region VII Ujung Pandang
 

5.3 Educational Facilities

The province of South Sulawesi has 2131 elementary schools, 7952 primary schools, 2234 junior high schools, 722 senior high schools, 40 universities, 1 Islamic Institute, 10 colleges and 2 bible colleges. The number of schools, by status, can be seen in table 20.
 
 









Table 20

Number of Schools by Status in South Sulawesi, 1998

School
State
Private
Total
Elementary School 1524 607 2131
Primary School 7131 821 7952
Junior High School 1339 895 2234
Senior High School 538 184 722
University 2 40 42
Islamic Institute 1 - 1
College 1 9 10
Bible College 1 1 2
Total 10573 1557 13094

 
 
 

In addition to formal education, government as well as non government agencies such as the department of trade and industry and department of agriculture, non formal education consists of skill training in backyard gardening, nursing, handicraft making, language, banking and maritime training college.
 

5.4 Health Facilities

There are 26 general hospitals, 11 private general hospitals, 6 military hospitals, and 8 special private hospitals. A general hospital is located in every municipality capital. There are also 339 public health centers, 1067 public health sub-centers and 8384 integrated service posts (Posyandu). Usually the integrated service post is located in the village and the public health sub-center provides health services to the remote areas.
 

5.5 Transportation Facilities

The government owns and operates one international airport (Hasanuddin Airport in Ujung Pandang), and three domestic airports (Tana Toraja, Soroako, ). There are 20 ports in South Sulawesi.
 

The 28 municipalities and 195 districts within the province are accessible by land transport. There are more than 20 island districts that can be reached only by ferry and pump boats. The available land transportation facilities consist of 68020 public utility, 50996 passenger gens (taxis), 53505 trucks, 106774 motorcycles and 130968 tricycles (becak) traffic office of police region of South Sulawesi, 1995.
 

5.6 Water Supply

Most of the people of South Sulawesi use drinking water from well covered pipes, followed by uncovered pipes. Only a small number of people use pump waters. The water supply in the province can be seen in table 21.
 
 



























Table 21

Household by regency/Municipality and Facilities of

Drinking Water in South Sulawesi

Regency/

Municipality

Own Self Shared Public Others Total
Selayar

Bulukumba

Bantaeng

Jeneponto

Takalar

Gowa

Sinjai

Maros

Pangkep

Barru

Watangpone

Watangsoppeng

Wajo

Sidrap

Pinrang

Enrekang

Luwu

Tanah Toraja

Polmas

Majene

Mamuju

Ujung

Pandang

Pare-Pare

2354

19184

8542

4980

9575

36057

9584

16695

16396

10865

23520

21255

22285

20443

28670

8964

98094

21199

12417

6593

18882

103701

10462

2677

28071

8533

11697

46244

46244

10132

24278

14004

60452

22654

24187

20455

27165

27165

8316

31575

36118

29288

2168

9954

57777

6308

16035

19140

15495

48917

4290

16422

16762

7294

8188

6544

46844

9542

21860

5562

2445

11856

10572

13466

34507

11646

12672

32862

3804

2582

6245

1606

1030

1430

149

1798

4709

13124

1199

4224

3541

133396

4676

5400

1296

15951

1921

10156

3209

8988

8892

482

23648

72640

34176

66624

46560

95872

38176

52976

51712

33536

135040

56992

81728

51136

63680

30432

156192

72704

86368

23616

50496

203232

21056

Total 530717 525146 376725 116004 1548592

Resource: National Social Economic survey in South Sulawesi
 
 
 

Indonesia is faced with the crisis of the economy and increasing poverty. Before this crisis, only 10% of the Indonesian people were below the poverty line. Recent data from Bappenas (1997) shows approximately 40 million people facing hunger with 50% of the children under five years of age suffering from malnutrition. That means the number of people suffering from starvation rose from 25 million to 40 million
 

This economic crisis increases the price of foodstuff and medicine, and also increases unemployment. All of this impacts food availability which in turn impacts family health and nutrution. This particularly effects babies, children, pregnant and lactating mothers, which is the source of future human resources. It is time to find an alternative to overcome this situation and empower the community to provide food, improved health facilities, health care insurance and human development.
 

The concept of human development has assumed center stage in a number of world summits and global references. The Rio Declaration (1992) proclaimed that all human beings are the center of concern for sustainable development, they are entitled to a healthy and productive life in harmony with nature. It emphasized that the developmental and future generations must be met equitably. The Rio declaration called for establishing a new and equitable global partnership through cooperation, and proposed to work towards global agreements on sustainable development.
 

Main Nutrition Problems in Indonesia
 

Analysis of PEM in children under five, based on Susenas 1989, 1992, and 1995, showed reduction of prevalence of total PEM (below 80% weight for age using NCH's standard). Prevalence of total PEM was 47.8%, 41.7% and 35% respectively in 1989, 1992 and 1995. However, this was not seen in the moderate to severe PEM (MS-PEM below 70% weight for age). It was revealed that prevalence of MS-PEM was 12.2%, 11.8% and 14.6% respectively in 1989, 1992 and 1995.
 

Figure 8 shows the trend of both total PEM and MS-PEM in these three years. Reduction of total PEM from 1989 to 1995 could be quantified with 4.4% per year. Similar analysis showed that reduction in the prevalence of MS-PEM in Repelita VI (at lease 5%) needs great attention with specific interventions.
 

IDD problems have attracted much attention in the last decade because of its relation to quality of human resources. It has been estimated that 42 million people in Indonesia have risk of IDD problems (Kodyat, 1997). Since the program controlling IDD was initiated in 1974, prevalence of IDD has been reduced from 38.2% in 1980/1982 to 27.7% in 1990 (based on national surveys). However, a survey conducted in 1990 showed that some provinces in Indonesia still had a prevalence above 30% (Ditzi 1994).
 

Recently , mapping surveys have been conducted in 6 provinces (West Java and Central Java, Di Yogyakarta, East Nusa Tenggara, Maluku and Irian Jaya). The results showed that two provinces, Maluku and East Nusa Tenggara, were severe IDD areas with TGR (total goiter rate) greater than 33% and one province, Irian Jaya was a milk IDD area. The other provinces had prevalence less than 1%. In fact, two provinces (Central Java and West Java) were non-IDD areas (less than 5%). This means that significant reductions have been seen in some provinces but some provinces showed an increase (Arhya kdd. 1996; Djumadias dkk 1996a and 1996b; Pinantih dkk. 1996; Suharjo dkk. 1996; and Thaha dkk, 1996).
 
 














Table 22

Prevalence of IDD in Indonesia

No. Province (%)

1980-92

(%)

1990

(%)

1996

1 Aceh 35.2 37.7
2 North Sumatra 17.3 20.7
3 West Sumatra 74.7 33.7
4 Riau 27.8 15.6
5 Jambi 23.1 46.9
6 South Sumatra 31.7 28.7
7 Bengkulu 37.7 23.7
8 Lampung 26.4 15.2
9 Jakarta
10 West Java 31.8 13.2 3.1
11 Central Java 36.8 22.4 4.5
12 Yogyakarta 47.3 5.9 6.1
13 East Java 39.6 27.5
14 Bali 49.6 62.2
15 West Nusu Tenggara 59.2 59.3

 
  In the last 10 years, the problem of anemia in pregnant women and children under five has been reduced significantly. Prevalence of anemia in pregnant women was 70% in 1986; 63.5% in 1992; and 51% in 1992-1995. It is assumed that the prevalence of anemia at the end of Repelita VI will be 40% at the highest level. On the other hand, prevalence of anemia in children under five was 55.% in 1992 and 40.5% in 1995.
 
 

Table 23

Prevalence of Nutritional Anemia in Indonesia 1995

Target Group Male Female Average
Children under five years 35.7 45.2 40.5
School age childred 46.4 48.0 47.2
10-14 years 45.8 57.1 51.5
15-44 years 58.3 39.5 48.9
45-64 years 62.5 40.5 51.5
>65 years 70.0 45.8 57.9
Pregnant Women 50.9
Lactating Women 45.1

Source: BPS 1995

Vitamin A deficiency, based on xeropthalmia (X1b) indicator, reduced significantly from 1.33% (1978) to .33% (1982). According to WHO criteria, VAD is no longer a problem in Indonesia. However, there are three provinces that have a higher prevalence than 0.5%: South Sulawesi (2.9%), Maluki (0.8%) and Southeast Sulawesi (0.6%). In South Sulawesi , four months after vitamin A intervention with high dose capsules in sever endemic areas, prevalence X1b was reduced to 0. This means that intervention with high dose vitamin A capsule works very well.
  In Widyakarya Food and Nutrition (1993), the recommended energy was 2500 kcal, protein was 55 gram and fat was 1055-255% of energy Rivai dkk, 1994. In 1974, food availability for energy was 90% and protein was 83%, while fat was marginal. In 1979, the food availability reached recommendation and 1922 has been over the recommendation (188% for energy, 124% for protein, while energy from lipid almost reaches the highest level of recommendation, BPS, 1993 and 1994)
 
 

Table 24

Prevalence of Zeropthalmia in 15 Provinces

National Survey in 1978 and 1992

Province 1978 1992
N X1B X2/X3 XS N X1B X2/X3 XS
Aceh 620 2.4 0.484 0.164 566 0 0 0
North Sumatra 435 0.4 0 0.214 604 0.17 0 0
West Sumatra 611 1.3 0.164 0.164 565 0 0 0
South Sumatra 606 0.3 0.164 0.495 722 0.14 0 0
Bengkulu 460 0.7 0.217 0.217 529 0 0 0
West Java 4147 1.5 0.217 0.217 3712 0.11 0 0
Central Java 4577 1.0 0.153 0.153 3674 0.25 0 0
Bali 1326 0.8 0.226 0.226 1641 0.07 0 0
West Nusa Tenggara 2353 1.6 0.212 0.212 2368 0.13 0 0
West Kalimantan 460 0.4 0 0.217 518 0.19 0 0
Central Kalimantan 450 0.6 0 0.217 512 0 0 0
South Kalimantan 680 1.5 0 0.147 619 0 0 0
South Sulawesi 1240 0.4 0.081 0.087 1158 2.9 0 0
South East Sulawesi 809 0.6 0 0.037 837 0.6 0 0
Maluku 1031 2.0 0 0.194 797 0.8 0 0
Total 19833 1.3 0.112 0.163 19720 0.33 0 0

Source: Kodyat, 1997

Table 25

Energy, Protein, and Fat Availability (per capita/per day)

Nutrient 1974 1979 1984 1990 1992
1. Energy (kcal)
  • Protein (g)
  • Fat and Oils )g)
  • % Energy from Fat
20248

4508

26.1

10.4

2.443

47.1

34.4

12.7

20516

54.1

45.4

16.2

2.701

60.3

56.2

18.7

2.968

67.9

67.3

20.5

Source: BPS 1990: CBS 1994
 
 

Table 26

Nutrient Consumption According to Income Level

Nutrient Consumption
Income 

(Rp)

Energy

(Kcal)

Protein

(G/d)

Fat & Oil Energy from Fat

(G/d) (%)

<8.000

8.000

10.000

15.000

20.000

30.000

40.000

60.000

80.000

100.000

150.000

1.392

1.453

1.585

1.742

1.935

2.066

2.134

2.192

2.251

2.351

2.320

28.4

31.8

35.1

40.4

47.6

55.8

63.6

72.2

80.3

90.4

82.1

19.9

21.5

25.9

33.5

42.1

51.4

59.4

68.8

77.8

81.9

91.2

12.9

13.3

14.7

17.3

19.5

22.2

25.0

28.2

31.0

31.3

35.4

Source: CBS 1994
 
 
 
 
 
 
 
 

However, the availability of macro nutrient differs significantly in income groups. As seen in table 23, energy consumption was the lowest income (1.392 kcal/day). In other words, families with incomes below Rp. 8,000, consume only 65% of energy recommended. Energy consumption relates directly with income. It was also seen that people with an income over Rp. 150,000 consumed more than the recommended energy (108%). Furthermore, disparity of protein and fat consumption income groups was much bigger. Compared to the recommendation, percentages of proein and energy from fat in groups below Rp. 8,000 /month were 196% and 35% respectively for protein and energy from fat (CBS, 1994).

Table 27

Prevalence of PEM in Children Under Five Based on Province

SUSENAS 1995

Province
Nutritional Status
MS-PEM
Total PEM
Good Over
Severe Moderate Subtotal MS PEM Mild Subtotal
DI Aceh 10.7 13.2 23.9 23.9 22.7 4606 50.3 3.2
North Sumerata 5.9 10.7 16.6 16.6 19.6 36.2 60.9 2.9
West Sumatera 4.2 10.6 14.8 14.8 21.3 36.1 60.3 3.6
Riau 11.6 12.3 23.9 23.9 22.0 45.9 49.0 5.1
Jambi 5.9 10.3 16.2 16.2 15.5 31.7 62.2 6.1
South Sumatera 3.3 10.7 14.0 14.0 21.2 35.2 60.5 4.3
Bengkulu 1.2 8.6 9.8 9.8 13.8 23.6 67.4 9.0
Lampung 3.1 7.7 10.8 10.8 18.1 28.9 66.9 4.1
DKI Jakarta 5.3 8.5 13.8 13.8 14.2 28.0 62.7 9.4
West Java 3.7 8.5 12.2 12.2 21.1 33.3 62.0 4.7
Central Java 3.1 7.0 10.1 10.1 22.4 32.5 64.6 3.0
DI Yogyakarta 1.1 3.8 4.9 4.9 14.0 18.9 76.6 4.7
East Java 4.2 8.6 12.8 12.8 19.8 32.6 63.7 3.8
Bali 3.0 5.3 8.3 8.3 12.3 20.4 73.6 5.8
NTB 6.2 12.1 18.3 18.3 23.6 41.9 53.6 4.4
NTT 4.6 12.0 16.6 16.6 29.7 46.3 50.0 3.7
East Timor 8.5 15.0 23.5 23.5 22.7 46.2 49.4 4.4
West Kalimantan 8.0 14.2 22.2 22.2 25.4 47.8 48.3 4.2
Central 8.4 8.9 17.3 17.3 21.3 38.6 53.9 7.5
South Kalimantan 4.0 11.6 15.6 15.6 18.3 33.9 62.6 3.5
East Kalimantan 3.5 8.3 11.8 11.8 17.4 29.2 67.2 3.7
North Sulawesi 7.8 7.6 15.4 15.4 17.4 32.8 62.3 4.8
Central Sulawesi 6.1 10.8 16.9 16.9 21.1 38.8 57.2 4.7
South Sulawesi 4.5 9.7 14.2 14.2 22.3 36.5 58.9 4.7
South East 4.3 8.9 13.2 13.2 21.5 34.7 59.6 5.7
Maluku 9.7 13.4 23.1 23.1 16.2 39.3 53.1 7.6
Irian Jaya 7.2 9.6 16.8 19.8 18.4 35.2 57.8 7.0
Indonesia 5.0 9.6 14.6 14.6 20.4 35.0 60.4 4.6

Source: Center of Statistical Bureau, South Sulawesi 1996

MS-PEM: Moderate to severe PEM Severe: < 60% W/A WHO-NCHS

Moderate: 60-69.9% W/A WHO-NCHS Good: 80-89% W/A WHO-NCHS

Mild: 70-79.9% W/A WHO-NCHS Over: >120% W/A WHO-NCHS
 
 
 

Besides differences between income groups and macro nutrient consumption, the discrepancy of consumption in the same income group was also seen in those who have income fluctuations. Income fluctuations co-related linerarly with food expenditure. This association was highly seen in families below poor levels (Thaha, 1995).
 

Indonesia became an independent country on August 17,1945 after the colonization from Japan during 350 years. By the independence of the country, it has tried to find the best way for its social, political and economic system.
 

Since 1945, there have been three administrators. The first president of Indonesia was Soekarno from 1945-1966. At that time, there were two democratic systems that implemented. ie liberal democracy and terpimpin democracy. During the first liberal democracy, the people had the opportunity to create political parties. The 1955 general election was the event of democratization as it was followed by many parties. The latter, was the implementation of the authoritarial rule since the policy of the country just taken by the president.
 

The second was called the new order from 1967-1998 and was led by former president Soeharto. Under his regime, democracy was implemented under the frame of state ideology or Pancasila. There were three separate powers which were legislative, executive and judicative, but the real power was kept by the president.
 

With the back up of the military, and "Golfkar" as the ruling party, the president maintained his patron-client relationships. Although there were two other parties, they had no influence or power. The power just accumulated in the hands of the president. Therefore, Jakarta, as the capital of the country, was the center of the power, as well as the economic life. The administrative system is centralized in Jakarta and the local governments just to the small things. The impact of centralizing power was corruption, collusion, and nepotism, until Soeharto regime was pushed out by the people's power in May 1998.
 

The third stage was the reformation era, in which people tried to implement real democracy. Indications of democracy was the emerging of freedom of speech, freedom of press and freedom of expression. The party has established a multi-party system which will run in the general election in June 1999.
 

8.1 Population Dynamics

The amount of Indonesian population still shows rapid increase every year. In 1971 the population amounted to 118 million people. Based on the two census taken in 1980 and 1990, the amount has increased respectively to 147 million and 164 million people. The population survey inter-census in 1994 recorded the figure reaching 195 million people.
 

This fact has been supported by the population growth rate which has been declining for years. In the period of 1971 to 1980 for instance, the growth rate per year was 2.32% and has been declining 1.77% per year during the period of 1985-1990 (Atatas. 1993). The Democracy Bureau of the Faculty of Economics of Indonesian University has projected that the growth rate of Indonesian population will continue to decline and reach 1.23% in the year 2000-2005 and even predicted to be .56% in the year 2020-2025 (Ananta, 1995).
 

Despite the continued decline of the population growth, with a significantly large number of population, the growth remains significantly large also. With the prediction of 1.23% growth in the future, beginning in the 21st century, the Indonesian population will increase above 2 million per year.
 

One of the prime causes of population decline in Indonesia is the decrease of the fertility rate. International migration, which is considered to be one cause, has very little influence to the enormous number of population thirty years ago (1967-1970). The Total Fertility Rate (TFR) in Indonesia was 5.6 which means, in that period of years, every fertile women can give birth to 5 to 6 children. Population census in 1990 recorded that TFR for the period of 1986-1989 was 3.3 and the figure wend down significantly to 2.9 in 1994 based on the Health and Demography Survey (SDKI).
 

Several of the factors contributing to the decrease of the fertility rate include better birth control through family planning, the lateness of first marriages which is supported by improvement of education quality and economic conditions

including people's health. The average age for an Indonesian woman to get married has increased from 17.2 for age group of 45-49 and 19.2 for women aged 25-29. Generally, first marriages increased from 17.7 in 1991 to 18.1 in 1994 (SDKI), 1994). Meanwhile, the number of population receiving modern health services has shown an increase. This increase implies a drop in the maternal death rate as well as a drop in infant and child mortality rates. This is still considered to be high compared to other countries. Thus, the life expectancy in Indonesia has shown an increase. In 1990-1995 life expectancy for an Indonesian male has grown to 61.29 years and 65.36 for women.
 

8.2 Population Density

Indonesian population density in 1990 was 93 people/km2. In the year 2020, the figure is projected to reach 132 people/ km2 (Ananta, 1995)
 

Indonesia, as an archipelago country, has an extremely unbalanced distribution of population density if we refer to the area of inhabitants. Until 1990, Java island remained as an island with the highest density of population, which was 813 people / km2. Other important islands have population densities as follows: Sumatera - 77 people / km2; Kalimantan 17 people / km2; Bali+NTT+NTB+ East Timor 115 people / km2; Sulawesi 66 people / km2; Maluki + Irian Jaya 7 people / km2. It is generally concluded that the areas with dense populations are Java and the Western part of Indonesia. The islands in Eastern Indonesia, particularly Irian Jaya, have very small population density. For a couple of years in the future, this pattern of population density distribution will not change significantly. The economic crisis which happened at the end of the 20th century has contributed more problems to the governments efforts of distributing people from the densely populated areas to the less densely populated ones.
 

8.3 Spatial Distribution of Population

As mentioned earlier, the Indonesian population distribution is extremely geographically imbalanced. Maluku and Irian for instance, with an area of 26% of the total land in Indonesia is inhabited by only 2% of the population whereas Java, with an area of 6.9% of the Indonesian land is inhabited by 60% of the population. In this very populated area land, for housing and for agriculture, has become scarce. In areas that are less densely populated, unproductive land can be found widely.
 

Efforts have been made to distribute the population more evenly through a transmigration program as well as encouraging the people to migrate spontaneously. Economic growth in particular areas in the past several decades has attracted more people to migrate to those areas. Riau and East Kalimantan province, with their rapid economic growth due to the natural oil industry has become a major destination of spontaneous migration.
 

In terms of emigration in particular, provinces with dense population in Java indeed has been a major destination of migrants from other parts of Indonesia for a long time. Of the 27 provinces in Indonesia, population census data in 1990 showed the highest migration rate from the province of Central Java, Special District of Jakarta, and East Java respectively, with figures of 22.08% of 18.92% and 12.33% of total immigration out from an area. This can balance the migration into these provinces which also remains high.
 

Migration rate to provinces in Java is mainly caused by the centralization of non- agricultural sector development. DKI Jakarta for instance, has been the center of investment and economic growth. Geographically, it can no longer accommodate the existing development. Hence, its various economic activities spread over to its suburban areas, some of which are part of West Java, which is the highest migration destination in Indonesia and made the migration rate netto risen highest currently. Apart from distribution of provincial area, Indonesian population area is also interesting to view based on the relationship of rural to urban. From year to year, an increasing trend can be observed on the additional proportion of people living in cities. In 1980, the population proportion who lived in new urban areas was 22.27%. Ten years later (1990) this rate had changed to 30.90% and continued to increase to 35.91% i 1995. Complete data on urban population percentage per province in Indonesia can be seen in Table 28 below.

Table 28

Population Percentage of Urban Areas Per Province in Indonesia in

1980, 1990, 1995

Province 1980 1990 1995
West Sumatera 1271 2022 2506
D.I. Aceh 894 1581 2054
North Sumatera 2545 3548 4109
Riau 2712 3167 3436
Jambi 1265 2141 2716
South Sumatera 2737 2934 3031
Bengkulu 943 2037 2571
Lampung 1247 1244 1571
DKI Jakarta 9363 10000 10000
West Java 2102 3451 4269
Central Java 1874 2698 3190
D.I. Yogyakarta 2208 4442 5808
East Java 1960 2743 3206
Bali 1471 2643 3431
NTB (West Nusa Tenggara) 1407 1712 1885
NTT (East Nusa Tenggara) 751 1139 1388
East Timor - 779 959
West Kalimantan 1677 1996 2166
Central Kalimantan 1030 1756 2247
South Kalimantan 2135 2706 2996
East Kalimantan 3984 4878 5022
North Sulawesi 1676 2278 2628
Central Sulawesi 895 1643 2187
South Sulawesi 1808 2453 2857
Southeast Sulawesi 935 1702 2238
Maluku 1084 1897 2457
Irian Jaya 2022 2397 2576
Indonesia 2227 3090 3591

Source: Center of Statistical Bureau, South Sulawesi
 
 
 

Out of DKI, Supas data (1995) gave figures that there were two provinces with urban population exceeding 50%. They were Special District of Jakarta (58.05%) and East Kalimantan (50.22%). D.I. Yogyakarta has apparently for the last 20 years shown an interesting increase in the urban population. For quite some time, this city has been popular as a student city which provides various choices of educational institutions and is supported by a relatively cheap cost of living. The tourism sector has also developed rapidly. Whereas in East Kalimantan province, the rapid economic growth is very much supported by the timber industry, natural liquid and gas resources as well as the gold mining industry, with plenty of job opportunities. These factors mentioned are responsible for attracting more people to these two areas.
 

People in Indonesia live with patriarchal sex/gender systems. So to speak, men dominate women. The proportion of women decision makers, planners, technical advisers, managers and extension workers in environment and development fields, are relatively small. The domination of men over women is influenced by sociological and anthropological factors. They believe that a woman's place is in the house only. Women should only stay in the domestic sphere whereas a man's place is in the public sphere. Women are obliged to do most of the household chores and the world outside the home is not their place. Ironically, women are not given access to control the resources that benefit their families. Women do not have the same right as men to express their opinions freely and responsibly and with dignity.
 

The inequality, attitudes and treatment towards women is seen in the public sphere. Most men do not show their willingness to take measures perform and operate governmental policies and national guidelines, strategies and plans for the achievement of equality in all aspects of society, including the promotion of literacy, education, training, nutrition, health and participation in key decision making, position and management of the environment, particularly in the informal sector. Most men do not take measures toward ensuring women's access to property rights as well as agricultural inputs and implements.
 

In the education system, it is a fact that there is no proper curricula and other educational materials with a view to promoting the dissemination of knowledge to both men and women. This could be used as a tool to help develop their nation and evaluation of women's roles through training institutions in collaboration with non-government organizations.
 

Women and Work

Workforce

Emancipation of women is evident in various areas of life although, since the beginning of the second long-term development plan (PJP II), equal partnerships between men and women are a continuing struggle in the effort to increase women's roles in development. The problem now is whether persons have equal status in the workplace. While it is clear that many women have entered the areas of the work world which have generally been male-dominated (for example as airplane pilots or working in mechanical repair workshops), can it be said that these women have reached equality with men?
 

From 1990 to 1996, the total proportion of women who are employed is still much lower than that of men (almost half), although there is an increase each year. Table 26 shows that women in the workforce in 1980 was 17.2 million, while men in the workforce reached 35 million. In 1996 the number of women in the workforce reached 34.8 million and the number of men 55.3 million.
 
 

Table 29

Workforce by Type of Residence and Sex

1980-1996 ( in millions)

Type of Residence 

and Sex

1980
1990
1996
Urban

Women

Men

W + M


2.9 

7.1

10.0


6.9 

13.6

20.5


11.0 

19.2

30.2

Rural

Women

Men

W + M


14.3 

27.9

42.2


19.7 

33.7

53.4


23.8 

36.2

60.0

Urban + Rural

Women

Men

W + M


17.2 

35.0

52.2


26.5 

47.4

73.9


34.8 

55.4

90.1

Source: 1. Compiled from CBS, (1983, page: 169-177)

2. Compiled from CBS, (1983, page: 259-267)

3. Compiled from National Labor Force Survey (Sakernas), 1996.
 

It should be noted that, of the rise in the total number of women workers from year to year is much higher than the rate of the rise among men, both in urban and rural areas. However, the rise in the total number of women workers in urban areas was much faster than in rural areas. This, of course, must be viewed in the context of the relatively high rate of growth of the urban population.
 

Labor Force Participation Rate

One of the indicators showing the size of active participation of women in economical life is the level of labor force participation rate (TPAK) of women. In 1980, this was less than half that for men (68% compared to 32.4% - see Table B6.2), and in 1996 the level for women was more than half that for men (72% compared to 45%).
 

As with the total numbers of women in the labor force, the level of workforce participation for women also increases much faster year by year than men's both in urban and rural areas. This shows that at this time of rapid development, there is a definite trend for women to increase their active participation in economical life.
 
 

Table 30

Labor-force Participation Rate by Type of Residence and Sex

(1980-1996)

Type of Residence/Sex
1980
1990
1996
Urban

Women

Men

W + M


24.2 

58.9

41.4


31.6 

64.0

47.6


37.2 

66.8

51.9

Rural

Women

Men

W + M


34.9 

70.9

52.6


42.2 

74.4

58.1


49.1 

75.6

62.3

Urban + Rural

Women

Men

W + M


32.4 

68.1

50.0


38.8 

71.1

54.7


44.6 

72.3

58.3

Source: 1. Compiled from CBS, (1983, page: 169-177)

2. Compiled from CBS, (1983, page: 259-267)

3. Compiled from National Labor Force Survey (Sakernas), 1996.
 

The competition to enter the job market increased among people of higher education levels. This is evidenced by the existence of an increasing unemployment rate among those with higher education, in both urban and rural areas (Table 28).

Table 31

Unemployment Rate, Type of Residence and Sex

1980-1996

Type of Residence/Sex
1980
1990
1996
Urban

Women

Men

W + M


1.3 

2.7

2.8


7.4 

5.5

6.1


10.3 

7.8

8.3

Rural

Women

Men

W + M


2.2 

1.1

1.5

2.7

1.7

2.1


4.0 

2.7

3.2

Urban + Rural

Women

Men

W + M


2.3 

1.4

1.7


3.9 

2.8

3.2


6.0 

4.2

4.9

Source: 1. Compiled from CBS, (1983, page: 169-177)

2. Compiled from CBS, (1983, page: 259-267)

3. Compiled from National Labor Force Survey (Sakernas), 1996.
 

Based on the National Labor-force Survey (Sakernas) in 1996, the level of educated unemployment in Indonesia had almost reached 12%. It should be noted that the number of women who are counted among the educated unemployed is much higher than the number of men (almost 3 times as many). The rise in the proportion of educated women who are unemployed has risen much faster than men between 1990 to 1996 (see Table 29).
 
 







Table 32

Unemployment Rate by Level of Education and Sex

1980-1996



 
 
Level of Education and Sex
1980
1990
1996
<Middle School

Women

Men

W + M


2.0 

11

1.4


2.3 

1.6

1.8


2.2 

1.8

2.0

Middle School

Women

Men

W + M


4.5 

2.5

2.8


7.7 

4.2

5.1


10.3 

5.3

6.8

High School 

Women

Men

W + M


5.7 

3.6

4.1


13.5 

7.6

5.1


19.1 

10.8

13.5

> High School

Women

Men

W + M


3.8 

1.3

1.8


10.2 

5.2

6.7


19.1 

7.9

11.8

Source: 1. Compiled from CBS, (1983, page: 196-204)

2. Compiled from CBS, (1983, page: 286-294)

3. Compiled from (Sakernas), 1996.
 

Work Status and Type

In 1980, the largest proportion of women worked as "self-employed" was around 48% (Table B6.5). In 1996 there was a slight change in women's status as workers, but still showing a trend towards more women being self-employed. Although the percentage of women who are "family workers" or unpaid workers, is still fairly high, it seems that there has been significant improvement in this area because more and more women are economically active and receive their own wages. Meanwhile, the percentage of workers who are employers of full-time workers, or who are office workers, laborers or "family workers" consistently declines.
 

Table 30 shows the increasing percentage of women who work as professionals and as managers. This indicates significant status compared with service positions or laborers. In 1980, about 3.3% of employed women worked as professionals. This is higher than the percentage of men (2.8%). Meanwhile, in 1996, this number has grown to 4%, also higher than the percentage of men (3%).
 
 

Table 33

Distribution of Employed Population by Job Status and Sex

1980-1996

Level of Education and Sex
1980
1990
1996
<Middle School

Women

Men

W + M


2.0 

11

1.4


2.3 

1.6

1.8


2.2 

1.8

2.0

Middle School

Women

Men

W + M


4.5 

2.5

2.8


7.7 

4.2

5.1


10.3 

5.3

6.8

High School 

Women

Men

W + M


5.7 

3.6

4.1


13.5 

7.6

5.1


19.1 

10.8

13.5

> High School

Women

Men

W + M


3.8 

1.3

1.8


10.2 

5.2

6.7


19.1 

7.9

11.8

Source: 1. Compiled from CBS, (1983, page: 196-204)

2. Compiled from CBS, (1983, page: 286-294)

3. Compiled from (Sakernas), 1996.
 
 

















Table 34

Distribution of Employment Population by Type of Work and Sex

1980-1996



 
 
Level of Education and Sex
1980
1990
1996
Professional

Women

Men

W + M


3.3 

2.8

3.0


4.5 

3.3

3.7


4.3 

3.1

3.6

Managerial

Women

Men

W + M


0.1 

0.1

0.1


0.1 

0.3

0.2


0.1 

0.3

0.2

Administration, Sales and Service

Women

Men

W + M


27.1 

17.7

20.8


29.4 

20.3

23.5


33.6 

23.5

27.3

Farming, Labor, etc.

Women

Men

W + M


69.5 

79.4

76.1


66.0 

76.1

72.6


62.0 

7301

68.9

Source: 1. Compiled from CBS, (1983, page: 205-213)

2. Compiled from CBS, (1983, page: 295-303)

3. Compiled from (Sakernas), 1996.
 

Labor Force by Sectors

The rise of women's roles in the workplace is also evident by the rising proportion of women in the formal sector although there are still wide gaps between men and women, especially in the rural areas. The results of the 1996 National Labor-force Survey (Sakernas) shows that about 23% of women work in the formal sector, an increase 20% in 1980. In the urban areas, women's participation in the formal sector has fallen while men's has grown. This is related to the domination of the agricultural sector in the rural areas (Table 32).
 
 







Table 35

Percentage Distribution of Employed Population in Informal Sectors by Type of

Residence, Sex, Formal/Informal Sector - 1980-1996

Type of Residence and Sex
1980
1990
1996
Urban

Men Formal

Informal

Women Formal

Informal


37.3 

62.7

37.2

62.8


35.7 

64.3

41.6

58.4


58.9 

41.1

49.4

50.6

Rural

Men Formal

Informal

Women Formal

Informal


18.7 

81.3

15.9

84.1


18.1 

81.9

15.3

84.7


21.5 

78.5

11.2

88.8

Urban + Rural

Men Formal

Informal

Women Formal

Informal


22.4 

77.6

19.5

80.5


22.8 

77.2

21.9

78.1


34.1 

65.9

22.7

77.3

Source: 1. Compiled from CBS, (1983, page:214-221)

2. Compiled from CBS, (1983, page:304-311)

3. Compiled from (Sakernas), 1996.

Table 36

Percentage Distribution of Employed Population by Field of Work and Sex

1980-1996

Type of Residence/Sex
1980
1990
1996
Primary

Women

Men

W + M


54.2 

57.3

56.3


49.6 

50.8

50.4


45.0 

43.4

44.0

Secondary

Women

Men

W + M


13.1 

13.3

13.3


15.4 

17.7

16.8


15.9 

19.5

18.1

Tertiary

Women

Men

W + M


32.7 

29.4

30.4


35.0 

31.5

32.8


39.1 

37.1

37.9

Source: 1. Compiled from CBS, (1983, page: 214-222))

2. Compiled from CBS, (1983, page: 304-312)

3. Compiled from (Sakernas), 1996.
 
 
 

As already known, since 1971 the sector structure of the workforce has shifted significantly from predominated primary sectors to the secondary and tertiary sectors. As shown in Table B6.8, the percentage of the population who work in the primary sector has fallen since 1980, with in the secondary and tertiary sectors, there have been consistent increases, for both men and women. In the secondary sector, the percentage of the male population who work is higher than their female counterpart (20% vs 16%). This show that in this sector, which includes utilities (electric, gas and water), construction and mining, there is still more domination by men. Meanwhile, the primary (farming) and tertiary (services, etc.) sectors absorb more women than men because these sectors do not require higher education.
 

Work Hours

Keeping in mind that the primary role for women is still seen as housework, women do not have as much time available for work as men. Table B6.9 shows that women's working hours are shorter than men's. The percentage of women who work more than 35 hours a week is smaller than for men.
 

On average, women's working hours have not increased in the past 10 years. This is shown in the table where the average number of working hours for women is seen to be around 41 hours per week in 1986. The results of the 1996 Sakernas shows that, on average, rural women's work hours are shorter than urban women's (37 vs 45 per week). In urban areas, on average, women's work hours are almost the same as mens (45 hours vs 46 hours per week).
 
 













Table 37

Percentage of the Population Who Are Employed by Working Hours and Sex

1986, 1990, 1996

1980-1996

Working Hours andSex
1980
1990
1996
0*

Women

Men

W + M


4.1 

2.1

2.8


3.8 

1.6

2.5


3.3 

2.2

2.6

1-24

Women

Men

W + M


31.5 

15.7

20.9


29.4 

12.7

18.6


32.7 

13.8

20.8

25-34

Women

Men

W + M


15.7 

12.1

13.3


18.4 

13.8

15.4


18.1 

13.8

15.4

35-44

Women

Men

W+M


24.4 

29.8

28.0


23.3 

28.8

26.9


21.4 

27.4

25.1

45

Women

Men

W+M


24.3 

40.3

35.0


25.1 

42.9

36.6


24.5 

43.1

36.1

Source: Compiled from Sakernas ,1986, 1990, 1996

Note: * Temporarily not working
 
 
 

10.1 Agricultural Sectors

This sector is classified into two group namely food plantation and non-food plantation sectors. The former classification consists of rice, palawija and horticulture. The latter classification consists of plantation, breeding, fishery and forestry. Food plantation sector makes up 20.60% of the total agricultural production while the non-food sector scores 14.05% of it. Table 34 will clarify this statement.
 
 

Table 38

Farm Sector Contribution in South Sulawesi (1994-1997 %)

Sector 1994 1995 1996 1997
Foodstuff Plantation 23.09 23.25 22.86 20.60
Non Foodstuff Plantation 14.04 13.82 13.56 14.05
Plantation 4.68 4.73 4.70 5.19
Animals 1.9 1.49 1.46 1.30
Forestry 0.21 0.22 0.24 0.24
Fishery 7.56 7.73 7.20 7.32
Farm Sectors 37.13 37.07 36.36 34.65
Non-Farm Sectors 62.87 62.99 63.64 65.36
Total 100 100 100 100

Source: Statistical Beauro, South Sulawesi Province
 

Of all non-food agricultural sectors, fishery's contribution comes first (7.32%) followed by plantation (5.19%), and forestry is the least (.24%). Breeding sector manages to contribute 1.36%.
 

10.2 Post Harvest Facilities

There are about 2296 warehouses belonging to JUK in South Sulawesi. The district in every regency has storage on warehouse Bulog for rice storage. There are 159.044 threshers hers, 1388 dyers, 193 blowers, rice milling 7059 units 700 units hammer mills and 529 feedmills. Corn thresher 2508 and corn billing units 1065. In Bone and Takalar regencies there are 3 sugar industries, 2 cotton processing units, 1 rosella manufacturer, 3 rubber industries, 3 manufacture of palm-kernel coconut, 484 coffee processing units, 51 cocoa processing units, 123 coffee palm coconut home industries 63 sago processing units, manufacturer of tea, 134 cold storages (fish-pranon products), ice factories, feeding meals for chicken, slaughter houses 44.
 

There are hundreds passion processing and 350 tempe and tahu industries. Also fresh fruits, tapioca and dried cassava factories, noodles factories, chili saos, pasta saos, and mango juices.
 

10.3 Resort and Tourist Facilities

South Sulawesi has a number of tourism resorts that are spread in various places. They can compete with other tourism resorts in other places in Indonesia. Unfortunately, they are not managed well so they cannot attract foreign tourists.
 

From 1990-1996 the popular tourism resorts were in Ujung Pandang and Tana Toraja. Both places have cultural and natural resorts which attracted domestic and foreign tourists. Other tourism resorts in the area have just been developed and marketed since early 1997. Some of these resorts are listed below:
 
 

Table 39

List of Some Tourism Resorts in South Sulawesi

Regency/Municipality
Objects
Ujung Pandang
  • -Ujung Pandang Port Rotterdam
  • -Clara l. bndt
  • -Kayangan Island
  • -Samalona Island
  • -Lae lae Island
  • -Barombong Resort
  • -Soroako
Gowa
  • -Balla Lompoa Museum
  • -Sultan Hasanuddin's Grave
  • -Sulawesi Miniature
  • -The Old Mosque at Katangka
  • -Malino Resort
Jeneponto
  • -Cemetery Complex of Binamu Kings
  • -Berta Ria Resort
Bulukumba
  • -Tana Beru Resort
  • -Tana Toa at Kajang
  • -Bira Beach
  • -Lemo-lemo Beach
Maros
  • -Leang-leang
  • -Bantimurung Resort
Barru
  • -La Pinceng Traditional House
  • -Phinisi Development Complex
Bone
  • -Lapawawoi Museum
Luwu
  • -Batara Guru Museum
  • -The Old Mosque at Palopo
  • -La Tuppu
Enrekang
  • -The Peak of Buntu Kabobong
  • -Tontonan
  • -Pelayaran Sungai Saddang
Tana Toraja
  • -Lemo
  • -Londa
  • -Tongkonan
  • -Suaya
  • -Palawa
  • -Ketekesu
  • -Marante
Soppeng
  • -Ompo Natural Pool
  • -Hot Water Pool
  • -Hejja
  • -Saro Mamo
Pangkep
  • -Kapoposant Island
Selayar
  • -Taka Bonerate
Takalar
  • -Tope Jawa Beach
Sinjai
  • -Batu Goyang
  • -Bakau forest
Sidrap
  • -Taman Wisata
Wajo
  • -Tempe lake
Polmas
  • -Bumiayu at Wonomulyo
Pinrang
  • -Dam of Benteng
Majene
  • -White Sand
Pare-Pare
Mamuju

Source: Department of Tourism, 1997
 

The number of foreign tourists in South Sulawesi can be seen in table 40.
 
 

Table 40

The Number of Tourists in South Sulawesi 1996-1997

Country 1996 1997
France 27,975 24,663
Netherlands 29,085 23,443
Germany 34,091 23,261
Italy 19,301 14,555
United States 28,617 25,659
England 17,902 18,090
Japan 17,083 12,114
Australia 14,686 15,435
Others 71,354 82,340
Total 260,094 239,560

 
 
  11.1 Reforestation

The representative office of forestry in South Sulawesi indicates a continually diminishing vegetative cover in this province. This could cause the erosion of water resources. During the five years from 1993 - 1998, the government of South Sulawesi has started afforestation and reforestation as shown in table 36.
 
 







Table 41

Realization of Reforestation in South Sulawesi

During 1993/94 - 1996-97 (HA)

Year Afforestation Reforestation
1993/94 9068 10250
1994/95 4190 10827
1995/96 6250 9027
1996/97 7300 9471
1997/98 11958 32596
Jumlah 38766 72172

Source: Department of Forestry South Sulawesi
 

11.2 Costal Ecosystem

In focusing attention on the coastal area at South Sulawesi Province, we will explain the problems that might be faced. As the other areas in Indonesia, South Sulawesi faced almost the same problems. The population and development growth in all sectors affects all natural resources and consequently, can enhance the damage of living space. Meanwhile, the increase in the number of fishers that is followed by the increase of fishing gears, influences the number of total fish and particularly the number of the capture.
 

Mangrove forests decline significantly in this province as an impact of the expansion of fishpond and housing as well as the excessive use of wood due to population and development growth. For instance, the expansion of fishpond can not be controlled because of the huge benefits from prawn-aquaculture as the main export commodity in the international market.
 

Several decades ago, bombs and poison were used fishing. They cause damage to the coral. It can be predicted that only 25% of the coral is in good condition. The prediction is supported by the report that stated there is damage to about 50-75% of the coral surrounding coastal South Sulawesi.
 

Even though there is security prevention as well as a legal punishment for the fishers who use bombs and chemicals in fishing, the use of those still exist. It is difficult to restrict the offenders because of the lack of an intensive control and there are not enough marine officers or equipment.
 

There is not much Sea pollution from industrial waste in South Sulawesi. The main cause of sea pollution is from household sewage which comes from the streams or is thrown directly into the sea by the people who live in the coastal area.
 

Nevertheless, the effect of sea pollution can be seen at certain areas that show the decline of water quality. For instance, there is an indication of the decrease of biomassa and various phytoplankton at seashore of South Sulawesi Province that indicates a light pollution in that area. It also happens at an estuary area that is used as a place to throw waste from manufacturers of sugar, wood and palm kernel oil. The light pollution also appears on such estuaries and seashore.
 

The results of research using logistic methods showed that there are some relations of exploitation of fish productions at South Sulawesi coastal area during 1987-1991. Furthermore, the result of this research presented that there is an exploitation of fish demersal at Makassar Strait, Bone Bay and Flores Sea which has reached a total of 97.55% from potensi lestari (MSY). There is also an indication of over fishing one type of fish. For instance, Bambangan fish is categorized into over-fishing because productions that taken are over catching. It can be estimated that the exploitation of this fish is high because of the influence of using bombs at coral areas.
 

The Pelagis Fish is not exploited optimally yet and only reach 7187% from natural potential. However, control for exploitation of Ikan Terbang should be used because, using batteries of floating traps, their eggs are also captured as they are highly prized on the international market.
 

Also harmful to aquatic resource conservation, is the use of illegal fishing gear. This kind of equipment are trawl that is still used in remote coastal areas. Other fishing gear commonly used by South Sulawesi fishers are rakit boat, stationery lift net and portable traps. All these harmful fishing gears endanger the stock and various fish small and large depending on the size of the trawl.
 

11.3 Waste Management

South Sulawesi has an estimated 10.000 m3 waste generated every day. This large amount of waste comes from domestic and industry, with the average of 70% generated by domestic and 33% by industry.
 

The area where large amounts of waste is generated is the city of Ujung Pandang, ie 55% of total 10.000 m3 . The means to collect the waste in the city of Ujung Pandang is organized by Dinas Kebersihan, the office of Ujung Pandang municipality. One hundred and twenty-nine trucks and one hundred and nine carts are assigned to collect waste every day.
 

The composition of waste in Ujung Pandang, as recorded in December 1998 is as follows:
 

Organic 3075.62m3 85.6%

Papers 159.08 m3 4.5%

Plastic 212.11 m3 6%

Metal, cans, iron, aluminum 81.31m3 2.3%

Rubber and wheels 38.89m3 1.1%

Mirror, bottles, glass 10.61m3 0.3%

Woods 5.30m3 0.2%

Miscellaneous 1.77m3 0.1%

Total 3535.20m3 100%
 

Coordination areas for cleaning services in Ujung Pandang municipality and their activities are as follows:
 

Wajo Regency

Ujung Pandang Regency

Mariso Regency

Tamalate Regency
 

Makassar Regency

Mamajang Regency

Rappocini Regency
 

III. Coordination Areas C consist of:
 

Bontoala

Panakukkang Regency

Manggala Regency
 

IV. Coordination Areas D consist of:

Ujung Tanah

Tallo

Tamalanrea

Biringkanaya
 

(See the attached map of coordination areas assigned by Dinas Kebersihan).
 

B. Activities in end of the coordinated areas, e.g. the city of Ujung Pandang.

References

 
 
 

1. This paper used 2 food consumption data sources: SUSENAS-PBS (National Socioeconomic Survey) and SKG-Dpekes (Food Consumption Survey). Both have different limitations. SUSENAS data used food expenditure for food intakes while SKG used one-day 24 hour recall with low accuracy. The recall was done by inadequately trained field workers and in thousand respondents. Regardless of these limitations, data was used to point out several important problems in food consumption.

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