Hasil Pencarian  ::  Simpan CSV :: Kembali

"Stunting merupakan kondisi gangguan pertumbuhan dan perkembangan pada anak balita akibat kekurangan gizi kronis sehingga anak lebih pendek untuk usianya melampaui defisit -2 standar deviasi di bawah median panjang atau tinggi badan. Banyak faktor yang mempengaruhi terjadinya stunting pada balita mulai dari faktor gizi sampai faktor sosial ekonomi. Kekurangan gizi terjadi sejak bayi dalam kandungan dan pada masa awal kehidupan setelah lahir, praktik pemberian air susu ibu, umur kepala rumah tangga, usia ibu pertama kali melahirkan, tingkat pendidikan ibu, status pekerjaan ibu, pendapatan rumah tangga, daerah tempat tinggal, dan juga sarana sanitasi. Multi dimensi faktor yang menyebabkan stunting memiliki dampak bagi kehidupan balita dan mempengaruhi perekonomian bangsa akibat meningkatnya pembiayaan kesehatan masyarakat. Penelitian ini bertujuan untuk menganalisis dampak stunting terhadap sosial ekonomi rumah tangga di Indonesia, menggunakan data panel Indonesia Family Life Survey (IFLS) tahun 1993 dan IFLS 2014. Unit analisis penelitian ini adalah individu bayi usia 0-59 bulan (balita) dengan jumlah sampel yang memenuhi kriteria inklusi dan eksklusi sebanyak 1.295 individu. Analisis multivariat pada data dilakukan dengan pendekatan Propensity Score Matching (PSM) untuk melihat pencocokan nilaikedekatan antar dua kelompok. Hasil penelitian didapatkan bahwa faktor pendidikan ibu, status pekerjaan ibu, tempat tinggal, sanitasi pembuangan kotoran manusia dan pendapatan rumah tangga memiliki hubungan yang signifikan terhadap kejadian balita stunting. Dampak stunting terhadap pendidikan anak ketika dewasa sebesar 2,3%, dampak stunting terhadap status pekerjaan sebesar 3,7% dan dampak stunting terhadap status ekonomi sebesar 8,3%.

---

Stunting is a problem of growth and development in children under five who are malnoutrished because children lack -2 deviation standart below the median length or height. Many factors improve nutrition in toddlers ranging from nutrition to socio-economic factors. Malnutrition occurs from the womb baby and at the beginning of life after birth, the practice of giving mothers milk, the age of the housewife, the age of the mothers first childbirth, the mothers education level, mothers employment status, household income, housing, and sanitation facilities. Multi-dimensional factors that cause stunting have an impact on the lives of toddlers and have an impact on improving state finances to improve publi finances. This study aims to analyze the impact of stunting on household socioeconomics in Indonesia, using a panel data of Indonesian Family Life Survey IFLS) in 1993 and 2014. The unit of analysis of this study was individuals aged 0-59 months with a number of samples fulfilled the inclusion and exclusion criteria of 1,295 individuals. Multivariate analysis of the data was carried out with the aim of Propensity Score Matching (PSM) to see the value of proximity between two groups. The results of research obtained from maternal education factors, maternal employment status, place of residence, sanitation of human waste and household income have a significant relationship to the incidence of stunting in children under five. Stunting effect the education of adult is 2.3%, stunting effect on employment status is 3.7% and stunting effect on economic status is 8.3%."

"Depresi antenatal merupakan salah satu masalah kesehatan masyarakat yang sering kaliluput dari perhatian. Penelitan ini dilakukan karena mengingat dampak yang ditimbulkanoleh depresi antenatal baik bagi ibu maupun janinnya dan belum adanya penelitianmengenai pengaruh status sosial ekonomi terhadap depresi antenatal menggunakan datasekunder berskala nasional yaitu IFLS V. Penelitian ini bertujuan untuk mengetahuipengaruh status sosial ekonomi terhadap depresi antenatal di Indonesia. Desain penelitianyang digunakan adalah cross-sectional yang dilakukan pada bulan Desember 2020 –Januari 2021. Hasil penelitian menunjukkan prevalensi kejadian antenatal di Indonesiayaitu sebesar 21.4%. Setelah dikontrol oleh confounder, nilai rasio odds terjadinyadepresi antenatal lebih besar 1,32 kali pada status sosial ekonomi kuintil 3 (menengah keatas) dibandingkan dengan status sosial ekonomi kuintil 4 (kaya), dan odds tersebutmeningkat pada kuintil status sosial ekonomi 2 dan 1. Terlihat pada status sosial ekonomikuintil 2 (menengah kebawah), odds terjadinya depresi antenatal 1.95 lebih besar danpada status sosial ekonomi kuintil 1(miskin), odds terjadinya depresi antenatal lebih besar1.84 jika keduanya dibandingkan dengan status sosial ekonomi kuintil 4 (Kaya).Kesimpulannya, prevalensi depresi antenatal di Indonesia tinggi dan terdapat pengaruhstatus sosial ekonomi terhadap kejadian depresi antenatal, oleh karena itu perlu dilakukanpenyuluhan mengenai dampak, faktor risiko dan upaya pencegahannya, terumata padaibu hamil dan keluarganya yang berada pada status sosial ekonomi rendah

---

Antenatal depression is a public health problem that often goes unnoticed. This research

was conducted because considering the impact of antenatal depression on both the mother

and the fetus and the absence of research on the effect of socioeconomic status on

antenatal depression using national-scale secondary data, namely IFLS V. This study

aims to determine the effect of socioeconomic status on antenatal depression in Indonesia.

The research design used was cross-sectional, which was conducted in December 2020 -

January 2021. The results showed that the prevalence of antenatal incidence in Indonesia

was 21.4%. After being controlled by confounders, the odds ratio value of antenatal

depression was 1.32 times greater in the socioeconomic status quintile 3 (middle and

upper) compared to the socioeconomic status quintile 4 (rich), and the odds increased in

the socioeconomic status quintile 2 and 1. It can be seen that in the socioeconomic status

of quintile 2 (middle to lower), the odds of antenatal depression are 1.95 greater and in

quintile 1 (poor) socioeconomic status, the odds of antenatal depression are 1.84 greater

if both are compared with the socioeconomic status of quintile 4 (Rich ). In conclusion, the prevalence of antenatal depression in Indonesia is high and there is an effect of socioeconomic status on the incidence of antenatal depression, therefore it is necessary to do counseling regarding the impact, risk factors and prevention efforts,

especially for pregnant women and their families who are in low socioeconomic status."

"Penelitian ini bertujuan untuk mengetahui apakah migrasi mempengaruhi kesejahteraan di Indonesia, baik kesejahteraan diukur secara objektif maupun subjektif. Unit sampel IFLS yang digunakan adalah 22 tahun keatas tahun 2014. Kesejahteraan objektif merupakan konsumsi perkapita riil yang menggambarkan perbedaan daya beli di tahun 2007 dan 2014, sedangkan kesejahteraan subjektif merupakan indeks persepsi tentang kepuasan hidup. Metode analisis yang digunakan adalah logistik data panel. Hasil penelitian menunjukkan bahwa migrasi secara signifikan berpengaruh positif pada kesejahteraan di Indonesia, baik kesejahteraan objektif maupun subjektif. Dapat disimpulkan bahwa migran cenderung merasa lebih sejahtera dan memiliki daya beli lebih tinggi daripada non migran.

---

This study aims to analyze whether migration has an impact on wellbeing in Indonesia, using both objective and subjective measurement. The sample of study consist of individual aged 22 years old and above in 2014 using longitudinal data of IFLS. Objective wellbeing is measured by real per capita expenditure between 2007 and 2014, while subjective wellbeing is a self rated assessment index on life satisfaction. Analyze by Logistic panel data regression, the results show that migration positively affects wellbeing in Indonesia significantly. It is suggested that migrants tend to have better subjective wellbeing, and in results from objective measurement show that they also have higher purchasing power parity than non migrant."

"[ABSTRAKPenelitian ini bertujuan mengidentifikasi pengaruh pendapatan rumah tangga danmodal sosial terhadap risiko menjadi korban kejahatan harta benda. Analisisdilakukan menggunakan data IFLS tahun 2007 dengan sampel responden kepalarumah tangga dan anggota rumah tangga. Untuk mengetahui pengaruh pendapatanrumah tangga dan modal sosial terhadap risiko menjadi korban kejahatan hartabenda digunakan model logit. Hasil estimasi menunjukkan bahwa pendapatanrumah tangga, modal sosial trust dan variabel kontrol tingkat pendidikan kepalarumah tangga dan jumlah anggota keluarga berpengaruh terhadap risiko rumahtangga menjadi korban kejahatan harta benda.

---

ABSTRACTThe purpose of this research is to identify the impact of household income andsocial capital on the risk of being a property crime victim. Analysis based on 2007IFLS data with the household head and members as the sample. To determine theimpact of household income and social capital on the risk of being a property crimevictim used logit model. Estimation results indicate that household income, socialcapital trusts and control variables namely the education level of household headand the size of household family have significant impact on the risk of being aproperty crime victim., The purpose of this research is to identify the impact of household income andsocial capital on the risk of being a property crime victim. Analysis based on 2007IFLS data with the household head and members as the sample. To determine theimpact of household income and social capital on the risk of being a property crimevictim used logit model. Estimation results indicate that household income, socialcapital trusts and control variables namely the education level of household headand the size of household family have significant impact on the risk of being aproperty crime victim.]"

"[ABSTRAKPenelitian ini menghasilkan bukti empiris dampak migrasi terhadap kesejahteraanrumah tangga di Indonesia, menggunakan data panel Indonesia Family LifeSurvey (IFLS) tahun 2000 dan 2007, dan metode difference-in-differences denganpropensity score matching. Penelitian ini mengestimasi dampak migrasi padarumah tangga migran kerja dan rumah tangga migran nonkerja dalam halpendapatan perkapita, beberapa variabel pengeluaran perkapita dan aset perkapitarumah tangga. Hasil penelitian menemukan bahwa migrasi kerja berdampakterhadap total pengeluaran perkapita rumah tangga, pengeluaran murni panganperkapita rumah tangga, dan pengeluaran rutin nonpangan perkapita rumah tangga.Sedangkan migrasi nonkerja berdampak terhadap pendapatan perkapita dan asetperkapita rumah tangga. Penelitian ini juga menganalisis dampak migrasi terhadapremitansi pada rumah tangga dengan menggunakan data transfer sebagai proksi.Migrasi kerja menunjukkan dampak yang signifikan terhadap pengeluaran transferperkapita rumah tangga, namun tidak terbukti memiliki dampak terhadap netttransfer perkapita rumah tangga. Sementara migrasi nonkerja menunjukkandampak yang signifikan terhadap nett transfer perkapita rumah tangga. Penelitianini juga menganalisis dampak migrasi terhadap suplai tenaga kerja rumah tanggadimana ditemukan bahwa migrasi kerja membawa dampak signifikan, namunmigrasi nonkerja tidak menunjukkan dampak yang signifikan terhadap suplaitenaga kerja rumah tangga.Kata Kunci: Evaluasi Dampak.

---

ABSTRACTThis study provides empirical evidence on the impact of migration on migrantsendinghousehold in Indonesia, using data panel from Indonesia Family LifeSurvey (IFLS) 2000 and 2007, and difference-in-differences with propensity scorematching method. This study estimates the impact of work migration and nonworkmigration on percapita income, some of per capita expenditures variables,per capita asset, migrant-sending household. It is found that work migration haveimpact on total per capita expenditure, per capita pure food expenditure, and percapita non food routine expenditure. Non-work migration have impact on percapita income and per capita asset. This study also analyze migration impact onremittance using transfer data as proxi. Work migration showing impactsignificantly on per capita out transfer, but there is no evidence have impact onper capita nett transfer. Non-work migration showing impact significantly on percapita nett transfer. This study also analyze migration impact on household laborsupply. It is found that work migration have impact significantly on householdlabor supply. But non-work migration have no significant impact on householdlabor supply.;This study provides empirical evidence on the impact of migration on migrantsendinghousehold in Indonesia, using data panel from Indonesia Family LifeSurvey (IFLS) 2000 and 2007, and difference-in-differences with propensity scorematching method. This study estimates the impact of work migration and nonworkmigration on percapita income, some of per capita expenditures variables,per capita asset, migrant-sending household. It is found that work migration haveimpact on total per capita expenditure, per capita pure food expenditure, and percapita non food routine expenditure. Non-work migration have impact on percapita income and per capita asset. This study also analyze migration impact onremittance using transfer data as proxi. Work migration showing impactsignificantly on per capita out transfer, but there is no evidence have impact onper capita nett transfer. Non-work migration showing impact significantly on percapita nett transfer. This study also analyze migration impact on household laborsupply. It is found that work migration have impact significantly on householdlabor supply. But non-work migration have no significant impact on householdlabor supply.;This study provides empirical evidence on the impact of migration on migrantsendinghousehold in Indonesia, using data panel from Indonesia Family LifeSurvey (IFLS) 2000 and 2007, and difference-in-differences with propensity scorematching method. This study estimates the impact of work migration and nonworkmigration on percapita income, some of per capita expenditures variables,per capita asset, migrant-sending household. It is found that work migration haveimpact on total per capita expenditure, per capita pure food expenditure, and percapita non food routine expenditure. Non-work migration have impact on percapita income and per capita asset. This study also analyze migration impact onremittance using transfer data as proxi. Work migration showing impactsignificantly on per capita out transfer, but there is no evidence have impact onper capita nett transfer. Non-work migration showing impact significantly on percapita nett transfer. This study also analyze migration impact on household laborsupply. It is found that work migration have impact significantly on householdlabor supply. But non-work migration have no significant impact on householdlabor supply., This study provides empirical evidence on the impact of migration on migrantsendinghousehold in Indonesia, using data panel from Indonesia Family LifeSurvey (IFLS) 2000 and 2007, and difference-in-differences with propensity scorematching method. This study estimates the impact of work migration and nonworkmigration on percapita income, some of per capita expenditures variables,per capita asset, migrant-sending household. It is found that work migration haveimpact on total per capita expenditure, per capita pure food expenditure, and percapita non food routine expenditure. Non-work migration have impact on percapita income and per capita asset. This study also analyze migration impact onremittance using transfer data as proxi. Work migration showing impactsignificantly on per capita out transfer, but there is no evidence have impact onper capita nett transfer. Non-work migration showing impact significantly on percapita nett transfer. This study also analyze migration impact on household laborsupply. It is found that work migration have impact significantly on householdlabor supply. But non-work migration have no significant impact on householdlabor supply.]"

"Rumah tangga buruh tani termasuk ke dalam rumah tangga miskin di Indonesia. Hal ini disebabkan oleh pendapatan buruh tani yang rendah dan tidak tetap. Beberapa penelitian mengenai kemudahan untuk mengakses pinjaman dapat meningkatkan kesejahteraan petani melalui peningkatan pendapatan dan pengeluaran rumah tangga. Penelitian ini bertujuan untuk meneliti hubungan pinjaman yang diterima rumah tangga buruh tani terhadap pengeluaran rumah tangga buruh petani. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari IFLS (Indonesia Family Life Survey) gelombang 5 tahun 2014 serta data PODES (Potensi Desa) tahun 2014. Dalam survei IFLS terdapat bagian yang membahas data ekonomi responden yang berprofesi sebagai pekerja bebas di sektor pertanian. Data PODES memberikan informasi mengenai ketersediaan infrastruktur dan potensi yang dimiliki oleh wilayah-wilayah di Indonesia. Jumlah bank umum dan koperasi simpan pinjam dari data PODES digunakan untuk penelitian ini. Metode regresi OLS (Ordinary Least Square) digunakan dalam penelitian ini. Hasil dari penelitian ini menunjukkan rumah tangga buruh tani yang memiliki pinjaman, mempunyai pengeluaran per kapita rumah tangga yang lebih besar dibandingkan yang tidak memiliki pinjaman.

---

Farm labor households are among the poorest households in Indonesia. This is due to the low and irregular income of farm laborers. Several studies have shown that easy access to loans can improve the welfare of farmers through increased household income and expenditure. This study aims to examine the relationship of loans received by farm labor households to farm labor household expenditures. The data used in this study are secondary data obtained from IFLS (Indonesia Family Life Survey) wave 5 in 2014 and PODES (Potensi Desa) data in 2014. In the IFLS survey, there is a section that discusses the economic data of respondents who work as free laborers in the agricultural sector. PODES data provides information on the availability of infrastructure and the potential of regions in Indonesia. The number of commercial banks and savings and loan cooperatives from the PODES data is used for this study. The OLS (Ordinary Least Square) regression method is used in this study. The results of this study show that farm labor households with loans have higher per capita household expenditure than those without loans."

"Stunting merupakan salah satu permasalahan status gizi di Indonesia. 1 dari 3 anak di.Indonesia mengalami stunting. Indonesia masuk 5 besar negara yang memilikiprevalensi stunting tertinggi 37,2 di dunia.Tujuan: Penelitian ini bertujuan untukmengetahui faktor-faktor yang berhubungan dengan kejadian stunting pada balita usia12-59 bulan.Metoda Desain penelitian adalah cross-sectional. Sampel penelitian inipada Indonesia Family Life Survey 1FLS yaitu anak yang berusia 12-59 bulan tahun2014 sebesar 1442 orang. Data dianalisis dengan regresi logistik.Hasil: Hubungan yangsignifikan antara stunting dengan berat lahir, jenis kelamin, riwayat penyakit infeksi,usia ibu saat hamil, pendidikan ibu, pendidikan ayah, tinggi badan ibu, tinggi badanayah, wilayah tempat tinggal, sanitasi dasar dan fasilitas air bersih. Balita yang memilikiberat lahir

---

Stunting is one of nutritional problems in Indonesia. 1 of 3 children in Indonesia has stunting.Indonesia entered the top 5 countries that have the highest stunting prevalence 37.2 in theworld.Objectives This study aims to find out the risk faktors stunting in children aged 12 59months.Methods The study design was cross sectional. This study took samples on Indonesia FamilyLife Survey 1FLS that were 1442 children aged 12 59 months in 2014. Data analysis appliedlogistic regression.Results Significant association between stunting and birth weight, sex,history of infectious diseases, maternal age during pregnancy, maternal education, father 39 seducation, maternal height, father 39 s height, residence area, basic sanitation and clean waterfacilities. Children who have birth weight."

"Di seluruh dunia, stroke adalah penyebab kematian nomor dua dan penyebab kecacatan nomor tiga. Selain faktor risiko utama stroke (hipertensi, kolesterol, diabetes), status sosial ekonomi sering dikaitkan sebagai faktor risiko yang memiliki peran penting terhadap kejadian stroke. Penelitian ini bertujuan untuk membuktikan faktor sosial ekonomi memiliki hubungan dengan penyakit stroke berdasarkan data IFLS Tahun 2014. Penelitian ini menggunakan desain studi cross sectional, menggunakan pendekatan ekonometrika dengan uji Logit. Model logit digunakan untuk menentukan estimasi faktor risiko stroke. Analisis menunjukkan bahwa 309 (0,90%) responden menderita stroke, dengan presentase terbesar berada pada status sosial ekonomi kategori miskin (26.86%). Berdasarkan analisis bivariat status sosial ekonomi tidak berhubungan dengan kejadian penyakit stroke. Berdasarkan analisis multivariat terdapat hubungan antara status sosial ekonomi dengan kejadian penyakit stroke setelah dikontrol oleh variabel lainnya.Variabel sosial ekonomi kategori sosial ekonomi menengah dapat meningkatkan risiko sebanyak 1,53 kali lebih tinggi terhadap terjadinya penyakit stroke.

---

Worldwide, stroke is the number two leading cause of death and number three leading

cause of disability. In addition to the main risk factors of stroke (hypertension,

cholesterol, diabetes), socioeconomic status is often associated as a risk factor that has an

important role in the incidence of stroke. This study aims to prove that socio-economic factors have a relationship with stroke based on 2014 IFLS data. This study used a cross sectional study design, using an econometric approach with Logit test. The logit model is used to determine the estimated risk factors for stroke. The analysis showed that 309 (0.90%) respondents suffered strokes, with the largest

percentage being in the socio-economic status of the poor category (26.86%). Based on bivariate analysis socio-economic status is not related to the incidence of stroke. Based

on multivariate analysis there is a relationship between socioeconomic status and the incidence of stroke after being controlled by other variables. Socio-economic variables in

the middle socio-economic category can increase the risk by 1.53 times to the occurrence of stroke."

"Obesitas merupakan permasalahan global yang semakin sering ditemukan diberbagai negara. Obesitas berkaitan erat dengan permasalahan penyakit tidak menular lainnya dan menyebabkan kematian pada 2,80 juta orang dewasa setiap tahunnya. Beberapa penelitian menemukan bahwa obesitas dapat disebabkan oleh status pertumbuhan individu pada usia dini. Sementara itu prevalensi obesitas saat dewasa di negara berkembang juga meningkat bersamaan dengan tingginya prevalensi kekurangan gizi pada masa anak-anak. Beberapa studi menunjukkan adanya fenomena catch up growth atau mengejar ketertinggalan pertumbuhan yang berdampak pada kelebihan gizi di masa depan. Tujuan dari penelitian ini adalah mengetahui hubungan status gizi stunting saat balita terhadap risiko obesitas saat dewasa di Indonesia berdasarkan analisis data Indonesia Family Life Survey tahun 1993 dan 2014. Desain penelitian adalah kohort retrospektif. Besar sampel yang digunakan adalah 588 sampel berdasarkan kriteria inklusi dan eksklusi. Hasil penelitian menunjukkan terdapat hubungan antara status gizi stunting saat balita terhadap risiko obesitas saat dewasa (p=0,003). Hasil analisis multivariat juga menunjukkan bahwa responden dengan status gizi stunting saat balita cenderung 1,63 (95% CI 1,18-2,27) kali berisiko mengalami obesitas saat dewasa setelah dikontrol variabel riwayat obesitas ibu, jenis kelamin, berat badan lahir, dan daerah tempat tinggal. Perlu penguatan program gizi spesifik, seperti pemeriksaan antenatal care (ANC) pada ibu hamil dan pemberian makanan tambahan bagi ibu hamil yang kekurangan energi kronis (KEK). Selain itu adanya upaya penguatan edukasi pada remaja perempuan saat mulai memasuki masa pubertas, dengan cara mengkonsumsi makanan yang tinggi protein seperti telur, susu, daging, ikan, keju, kerang dan udang. Protein nabati juga dianjurkan untuk dikonsumsi seperti tempe, tahu dan kacang- kacangan.

---

Obesity is a global problem that is increasingly found in various countries. Obesity is closely related to other non-communicable disease problems and causes death in 2,80 million adults each year. Several studies have found that obesity is also caused by an individual growth status in early age. Meanwhile, the prevalence of obesity as adults in developing countries has also increased, the prevalence of malnutrition in childhood was high. Several studies have shown that there is a catch- up growth phenomenon that results in excess nutrition in the future. The purpose of this study was to determine the relationship between stunting in childhood to the risk of obesity in adulthood in Indonesia based on analysis of Indonesia Family Life Survey data in 1993 and 2014. We used a retrospective cohort study. The sample size was 588 respondents based on inclusion and exclusion criteria. The results showed that the nutritional status of stunting in children associated with the risk of obesity in adolescent (p=0,003). The results of the multivariate analysis also showed that respondents with stunting nutritional status in children tended to be 1,63 (95% CI 1,18-2,27) times at risk of developing obesity in adolescent after controlling for the variables of history of maternal obesity, sex, birth weight, and area of residence. It is necessary to strengthen specific nutrition programs, such as antenatal care examinations for pregnant women and provision of additional food for pregnant women with chronic energy deficiency. In addition, there are efforts to strengthen education for teenager when they start entering puberty, by consuming foods that consist of high protein such as eggs, milk, meat, fish, cheese, shellfish, and shrimp. Plant-based or nabati protein is also recommended for consumption such as tempe, tofu, and nuts."