Can Assets Determine Family Happiness?

Ownership of assets can be assessed as the success of individual achievement in his life goals. It certainly can make individuals feel satisfied with the efforts they have made. Life satisfaction is one of the dimensions used by BPS to measure happiness. Thus, this study will analyze the effect of asset ownership on happiness. The data used in this study are data from the Indonesia Family Life Survey (IFLS) wave 5 of 2014. Analysis of the model in this study uses logistic regression for analysis in Java and outside Java Island. This study found that ownership of assets (jewelry, savings, vehicles, receivables), health, gender of the head of the household, type of residential, mobile phone, television, and access to the internet have a significant effect on household happiness. At the same time, other assets (houses/other buildings, land), number of household members, type of floor, and residential area (urban, rural) have no effect in determining of happiness of the household. The finding in this study also states that the probability of household happiness will be higher outside Java Island.

Pengaruh Faktor Demografi dan Sosial Ekonomi terhadap Status Kesehatan Individu di Indonesia

This study analyzed the impact of demography and socioeconomic status on individual health status in Indonesia. The data used Indonesia Family Life Survey 5 (IFLS 5). The study use logit regression model for analysis with health status variable as dependent variable. The other variable such as demography and socioeconomic status as independent variables. Socioeconomic status seen from two measures, namely education and income. The result of this study concludes the demography influence significantly on individual health status in Indonesia. Individual who lives in urban area has higher probability of being health by 1,02 percent compared to individual who lives in rural area. The other variable like socioeconomic status also influences significantly on the individual health status in Indonesia. Individual with longer years of education has higher probability of being health by 3,07 percent compared to individual with less years of education. Individual with high income has higher probability of being health compared to individual with low income.

Does Damage from Natural Disaster Affect Child Labor? Evidence from Indonesia

Disasters, both natural and non-natural, can cause a severe impact on every life aspects in a country, including the economic aspect. In Indonesia, as a reaction of deteriorating economic conditions caused by disasters, households are often forced to adjust the declining of their real income by taking out their children from school thereby they can send them to work as a household buffer to shocks. This paper aims to analyze the impact of the natural disaster damage on the number of child labor and the differences of these impacts between urban and rural areas. By using cross section data from the fifth wave Indonesia Family Life Survey collected in 2014, we find that there is a positive relation between the natural disaster damage and the number of child labor, and then a significant difference between impacts in urban and rural areas. Policy implications of the findings are provided.

THE INTERNET MIRACLE: THE IMPACT OF INTERNET ACCESS ON HOUSEHOLD SAVING IN INDONESIA

This study analyzes the impact of access to the internet and household saving behavior, in the context of the amount of savings and the saving preferences, in Indonesia. Using the fifth wave of the Indonesia Family Life Survey data, this study finds that there is a positive effect between internet access and household savings. This access includes private internet access and public internet access. Nonetheless, the effect of private internet access differs from public internet access. Private internet access positively impacts both the amount of savings and the saving preferences, whilst public internet access only increases the amount saved, not the saving preferences.

Impact Of Working Mother To Children’s Health In Indonesia

There are still many challenges facing the field of child health in Indonesia. Children's health is crucial due to its role in Indonesia’s future economic development and growth. The objective of this research is to determine the consequence of a mother’s work status on children's health. Other factors such as the effect of the location of residence (urban and rural) and the level of mother's education are also evaluated on children's health. This study was conducted using data obtained from IFLS 5 (Indonesia Family Life Survey 5) in 2014 with a sample size of 8,907 individuals. This study utilizes the Binary Logit regression method using STATA 14. The results indicated that the status of a mother’s work has a significant and negative effect on the level of children's health, while the mother's education level and location of residence (urban) have a significant and positive effect on the level of children's health. This research implies the promotion of education for future improvements in child health. Keywords: Child Health; Mother's Education Status; Mother's Work Status; Place of Residence

Risk Factors of Diabetes Mellitus in Urban Communities in Indonesia (IFLS 5)

Background: Over the last decades, the number of new diabetic cases and the prevalence of diabetes have tended to increase. The diabetes prevalence rate in Indonesia in 2020 reached 6.20%. Purpose: The aim of this study is to examine the relationship between the variables of age, level of education, smoking status, and Body Mass Index (BMI) and the prevalence of diabetes in the urban areas. Methods: This was a cross-sectional study and used secondary data from the Indonesia Family Life Survey (IFLS 5) in 2015. The data was analyzed using descriptive analysis and simple logistic regression. The dependent variable in this study was Diabetes Mellitus (DM); the independent variables were age, education level, smoking status, and BMI. Results: In terms of the respondents’ characteristics, individuals were mainly over 35 years of age (130 respondents, 83.87%). The highest level of education was attained by 93 respondents (60.00%). There was a correlation between respondents who were over 35 years of age, with p=0.01; prevalence ratio (PR)=5.60; 95%Cl=3.64–8.62) and the level of education (p=0.01; PR=1.69; 95%Cl=1.22–2.34) with the incidence of diabetes in urban areas in Indonesia. There was no correlation between the smoking status (p=0.55; PR=0.67; 95%Cl=0.01–2.73) and the BMI of respondents with the prevalence of diabetes in urban areas in Indonesia. Conclusion: The age and the level of education were linked to the incidence of diabetes in urban areas in Indonesia.

Hubungan Antara Merokok Dengan Diabetes Mellitus Berdasarkan Indeks Massa Tubuh (Analisis Data Ifls 5)

Penelitian ini bertujuan untuk menilai risiko merokok terhadap diabetes mellitus berdasarkan indeks massa tubuh pada penduduk ≥ 15 tahun di Indonesia. Desain studi menggunakan cross-sectional dengan data sekunder Survei Aspek Kehidupan Rumah Tangga Indonesia Tahun 2014 atau the Indonesia Family Life Survey Wave 5 (IFLS5) di 13 provinsi pada tahun 2014-2015, dengan total sampling sebesar 6.302 responden. Variabel yang diteliti adalah diabetes mellitus sebagai variabel dependen dan status merokok sebagai variabel independen. Sementara itu, variabel kovariat terdiri dari umur, jenis kelamin, status pernikahan, status hipertensi, jumlah batang rokok yang dihisap perhari, dan lama merokok. Analisis menggunakan regresi logistik dengan 95% CI. Prevalensi DM dalam penelitian ini adalah sebesar 6,6%. Sementara itu, prevalensi perokok aktif adalah 29,6%. Pada responden kurus dengan IMT < 18,5 kg/m2, risiko DM pada perokok aktif (OR = 2,22; 95% CI 0,45-10,97) berbeda dengan risiko DM pada mantan perokok (OR = 0,50; 95% CI 0,04-6,00) jika dibandingkan dengan bukan perokok, tetapi keduanya tidak menunjukkan hubungan yang signifikan. Sementara itu, pada responden yang obesitas, risiko DM antara mantan perokok (OR = 2,04; 95% CI 0,95-4,37) dengan perokok aktif (OR = 1,94; 95% CI 1,01-3,72) hampir sama, dimana keduanya menunjukkan hubungan yang positif. Sementara itu, pada responden dengan IMT normal dan IMT kegemukan, risiko DM pada perokok aktif dan mantan perokok tidak berbeda dengan bukan perokok. Penelitian ini menunjukkan tidak ada perbedaan risiko DM yang signifikan pada perokok aktif maupun mantan perokok jika dikategorikan berdasarkan status IMT.

Perilaku Keuangan Individu Muslim Indonesia: Studi Data IFLS5

Studi ini bertujuan untuk memahami perilaku keuangan individu Muslim Indonesia secara empiris menggunakan data Indonesia Family Life Survey (IFLS) 5. IFLS5 memberikan informasi secara luas mengenai indikator perilaku keuangan dan sosiodemografi seseorang seperti tingkat pendidikan, usia, gender, dan lokasi tempat tinggal. Data perilaku keuangan tersebut berdasarkan data individu berupa jumlah dana simpanan, jumlah pendapatan, dan keputusan mengambil pinjaman. Variabel yang didapatkan dari data IFLS5 tersebut kemudian diuji menggunakan metode Ordinary Least Square (OLS). Hasil dari pengujian menunjukkan bahwa jumlah dana simpanan dipengaruhi oleh jumlah pendapatan, keputusan mengambil pinjaman, tingkat religiusitas, tingkat pendidikan, dan usia. Melalui hasil studi ini diharapkan dapat memberikan informasi mengenai faktor penentu perilaku keuangan Muslim Indonesia berdasarkan keputusan untuk menyimpan dana. Pengaruh positif dari tingkat religiusitas pada perilaku keuangan diharapkan dapat memberi sinyal positif pada bank syariah dan menggunakannya sebagai dasar dalam mengembangkan produknya sesuai sistem syariah.