6.1 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.
 

6.2 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.
 

6.3 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 and Sex
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
 

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).
 

BACK