Hasil Ringkasan
26 CHAPTER IV DATA RESULTS AND ANALYSIS IV.1 Demographic Characteristics This research has gathered data from the total of 203 respondents. However, there are only 197 data that is qualified to be included and measured in this research. From the data gathered, there are several aspects that had been collected by the researcher for the respondent’s demographic aspects, such as gender, age, residential area, and household size. The respondents consist of 99 male (50.3%) and 98 female (49.7%). Their majority age category is 55-60 years old that consists of 117 people or 59.4% of the total respondents. The respondents are majorly living in urban areas (86.8%) with 2-5 people living in their house (65%). The further detail about the demographic characteristic variable of this research can be seen on Table IV.1 below. Table IV.1 Demographic Variable Demographic Frequency (N=197) Percentage (%) Gender Male 99 50.3% Female 98 49.7% Age 55-60 years old 117 59.4% 60-65 years old 62 31.5% > 65 years old 18 9.1% Residential Area Urban Areas 171 86.8% Rural Areas 26 13.2% Household Size 2 People 47 23.9% 2 - 5 People 128 65.0% > 5 People 22 11.2% Region (Area) Aceh 1 0.05% Banten 22 10.8% DIY 5 2.5% 27 DKI Jakarta 75 36.9% West Java 81 39.9% Central Java 6 3.0% East Java 1 0.05% East Kalimantan 3 1.5% North Kalimantan 1 0.05% East Nusa Tenggara 3 1.5% West Sulawesi 1 0.05% South East Sulawesi 1 0.05% West Sumatera 2 1.0% North Sumatera 1 0.05% The first subjective well-being aspect that is being measured within this research is health. From the demographic characteristics, the average health level of the male Indonesia’s elderly is higher compared to the female. This situation can probably happen because of the gender image that are perceived for the male and female where male are most likely do not want anyone know about their pains or sickness meanwhile female are most likely to feel and express their pain and inconvenience that leads to a lower average level of the health variable (Macintyre et al., 1996; Mogil & Bailey, 2010). From the age category, elderly with the age beyond 65 years old have the highest level of health average. Elderly people in Indonesia who lives in urban area and live in the house consists of 2-5 people also reported to have a higher level of health average. The second subjective well-being aspect that is being measured within this research is the psychological level of the elderly people in Indonesia. Female elderly in Indonesia tends to have a higher average of psychological level. This also happen with those with the age category of 55-60 years old, living in urban areas, and those who lives in house consists of 2-5 people. Kumar Dey et al., (2021) stated that the higher psychological level of elderly in urban areas could happen since the elderly in urban areas can access greater facilities in many aspects which can lead the elderly in urban areas could have a greater life that filled with more happiness and financial stability rather than those in rural areas. The last subjective well-being aspect that is being measured within this research is the life satisfaction level of the elderly people in Indonesia. This research reported that female elderly in Indonesia tends to have a higher average of life satisfaction level. However, the little 28 difference gap between the average rate of life satisfaction between the elder male and female shows that gender does not really differs the rate of the elderly’s life satisfaction (Bibi et al., 2015). The highest average level of life satisfaction also applied to people with the age category of > 65 years old and those who lives in a house consists of 2-5 people.