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
No. Title
1 Governance Organizational Structure of
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
5 Prevalence of PEM Acute and Chronic at
6 Political System in Indonesia
v
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:
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
|
|
|
|
| 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:
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 |
|
|
Production |
Increase (%) |
||||
|
(Ton) |
(%) |
Waters | Cultivation |
|
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:
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.
Papalele Grocers/
Perantara
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 |
| 1
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)
|
|
|
|
(%) |
| 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)
|
|
|
|
|
| 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:


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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:

![]()
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:
Superior Commodities of Export market or Import Substitution
|
|
|
|
Substitution |
| Food Plantation | Rice
Corn Soybean Ubi Kayu |
X |
X X |
| Farming | Cocoa
Arabica Coffee Anacardium Occidentale Palm Oil Cotton Sugar Cane |
X X X |
X X |
| Fishery | Shrimp
Sea Cucumber Flying Fish Egg Crab Sea Fish Seaweed |
X X X X X |
|
| Animal Husbandry | Bali's Cow
Goat |
X |
|
| Firestry | Rattan
Pine Tree Sap |
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
|
|
|
|
|
|
| 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)
|
|
|
Import Chicken |
|
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
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)
|
|
|
|
|
|
| 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 |
(Ton) |
Deposit |
(ton) |
Granit Rocks |
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
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
|
|
|
|
|
| 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
|
|
(Units) |
|
| 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
|
|
|
|
|
| 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
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
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.
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 |
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
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)
|
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
|
|
||||
|
(Rp) |
(Kcal) |
(G/d) |
(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
|
|
|
|||||||
|
|
|
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).
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.
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.
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)
|
and Sex |
|
|
|
| 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)
|
|
|
|
|
| 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
|
|
|
|
|
| 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
|
|
|
|
|
| <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
|
|
|
|
|
| <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
|
|
|
|
|
| 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
|
|
|
|
|
| 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
|
|
|
|
|
| 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
|
|
|
|
|
| 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
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
|
|
|
| Ujung Pandang |
|
| Gowa |
|
| Jeneponto |
|
| Bulukumba |
|
| Maros |
|
| Barru |
|
| Bone |
|
| Luwu |
|
| Enrekang |
|
| Tana Toraja |
|
| Soppeng |
|
| Pangkep |
|
| Selayar |
|
| Takalar |
|
| Sinjai |
|
| Sidrap |
|
| Wajo |
|
| Polmas |
|
| Pinrang |
|
| Majene |
|
| 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 |
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:
Ujung Pandang Regency
Mariso Regency
Tamalate 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.
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.