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The Association Between Conditional Cash Transfer and Fertility Intention in Indonesia Rafly Parenta Bano; Omas Bulan Samosir; Triasih Djutaharta
Jurnal Ilmu Sosial dan Ilmu Politik Vol 25, No 2 (2021): November
Publisher : Faculty of Social and Political Sciences, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jsp.68201

Abstract

This study aims to analyze the relationship between conditional cash transfer (PKH in Indonesia)acceptance status and fertility intentions of married women ages 15-49 years who do not use contraception in Indonesia. The data used in this research comes from the results of SUSENAS 2017. The sample was limited to married women aged 15-49 years not currently using a contraceptive method. Ordinal logistic regression was employed to analyze the relationship between PKH acceptance status and fertility intention after controlling for the effects of individual control factors, while a multilevel ordinal logistic model was used to investigate the effects of contextual factors. The study results showed that after controlling for the effects of individual and contextual variables, a high fertility intention was associated with receiving PKH. Women from PKH beneficiary households tended to maximize the assistance received by increasing the number of children (moral hazard behavior ). Moral hazard behavior was more pronounced in women from households that had received PKH or received PKH but could not show their cards.
Faktor Kontekstual Pemanfaatan Pelayanan Antenatal Care di Indonesia Dian Ayu Puspitasari; Omas Bulan Samosir
Jurnal Berkala Kesehatan Vol 6, No 1 (2020): JURNAL BERKALA KESEHATAN
Publisher : Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jbk.v6i1.8407

Abstract

Tingkat kematian ibu yang tinggi seringkali dikaitkan dengan pemeriksaan kehamilan (antenatal care) yang tidak memadai. Pemanfaatan layanan ANC oleh wanita hamil di Indonesia menunjukkan variasi antar provinsi yang diduga dipengaruhi oleh faktor kontekstual yang melekat pada tiap-tiap provinsi. Penelitian ini bertujuan mempelajari faktor kontekstual pada level provinsi yang berhubungan dengan pemanfaatan pelayanan antenatal care pada level individu. Data Survei Demografi dan Kesehatan Indonesia tahun 2017 digunakan sebagai data pada level individu, sedangkan pada level kontekstual menggunakan data sekunder dari berbagai publikasi. Metode regresi logistik multilevel digunakan untuk menguji hipotesis bahwa faktor kontekstual pada level provinsi berhubungan dengan pemanfaatan layanan antenatal care pada level individu. Hasil penelitian ini menunjukkan bahwa selain faktor individu, faktor komunitas dimana individu tersebut tinggal juga berhubungan dengan perilaku ibu dalam memanfaatkan pelayanan antenatal care selama kehamilan. Konteks regional yang berhubungan kuat dengan pemanfaatan pelayanan antenatal care adalah persentase penduduk miskin di daerah tersebut. Tinggal di daerah yang tingkat kemiskinannya tinggi akan mengurangi kecenderungan wanita untuk melakukan pemeriksaan kehamilan. Oleh karena itu, untuk meningkatkan pemanfaatan pelayanan antenatal care serta mengurangi kesenjangan antardaerah, intervensi yang dapat dilakukan adalah dengan program pengurangan kemiskinan yang lebih difokuskan pada daerah dengan tingkat kemiskinan yang masih cukup tinggi.
Pengaruh Otonomi Wanita dan Karakteristik Sosial Demografi terhadap Unmet Need Kb pada Wanita Kawin di Indonesia Diah Ayu Utami; Lia Gustina; Omas Bulan Samosir
Jurnal Berkala Kesehatan Vol 6, No 1 (2020): JURNAL BERKALA KESEHATAN
Publisher : Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jbk.v6i1.8309

Abstract

Hasil Survei Demografi dan Kesehatan Indonesia (SDKI) 2017 menunjukkan bahwa Unmet Need sebesar 10,6 persen, serta masih diatas target RPJMN 2015-2019 yaitu sebesar 9,9 %. Penelitian ini bertujuan untuk mengetahui pengaruh faktor-faktor individu wanita terutama otonomi wanita terhadap Unmet Need penjarangan dan Unmet Need pembatasan. Data yang digunakan dalam penelitian ini bersumber dari data SDKI 2017 dengan unit analisis adalah wanita usia subur umur 15-49 tahun yang berstatus kawin/hidup bersama serta memiliki kebutuhan terhadap KB dengan observasi berjumlah 24.981 individu. Metode analisis yang digunakan adalah regresi multinomial logit. Hasil penelitian menunjukkan bahwa otonomi wanita dan status bekerja hanya berpengaruh terhadap Unmet Need pembatasan. Wanita dengan otonomi tinggi mempunyai peluang lebih rendah untuk Unmet Need pembatasan dibandingkan dengan wanita otonomi rendah. Hasil penelitian juga menunjukkan bahwa umur, jumlah anak masih hidup, daerah tempat tinggal, dan pengetahuan alat/cara KB modern berpengaruh terhadap Unmet Need penjarangan dan pembatasan. Pendidikan wanita dan keterpaparan informasi KB di media massa hanya berpengaruh terhadap Unmet Need penjarangan. Untuk mengurangi Unmet Need baik penjarangan maupun pembatasan, program intervensi harus ditargetkan kepada kelompok wanita yang mempunyai resiko Unmet Need tersebut, terutama pada wanita otonomi rendah.
Child Marriage and Infant Mortality in Indonesia: A Spatial Analysis Approach Suryaningrum, Nugrahayu; Samosir, Omas Bulan; Djutaharta, Triasih
Al-Sihah : The Public Health Science Journal Volume 15, Nomor 2, July-December 2023
Publisher : Program Studi Kesehatan Masyarakat UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/al-sihah.v15i2.38833

Abstract

Spatial analysis approach is capable of identifying spatial clustering of Infant Mortality Rate (IMR) across districts/cities in Indonesia. This information is essential for policymakers when developing appropriate health interventions at districts/cities level. At delivery, maternal age is one of the strongest predictors of infant mortality, which is closely related to child marriage. Therefore, this study aimed to determine the relationship between child marriage and IMR in Indonesia, which was controlled by the influence of maternal, household, and health factors. The results showed that there were spatial dependency on IMR in Indonesia. Analysis Regression Spatial Durbin Model showed that child marriage had a positive and significant relationship with IMR. Furthermore, it was discovered that IMR was influenced by several explanatory variables in districts and neighboring cities. To reduce mortality rate, there was a need to increase health services by developing neighboring areas and building access to areas with good health facilities. Educational initiatives are also important, emphasizing the importance of delaying the age of marriage and enforcing the minimum age limits. This approach empowered every child to marriage carefully and had good reproductive health knowledge that could decrease IMR in Indonesia.
WHO MARRIES WHOM MATTERS: KESAMAAN PENDIDIKAN ORANGTUA DAN BERAT BADAN SAAT LAHIR DI INDONESIA Johanna, Mudya; Samosir, Omas Bulan
Jurnal Ekonomi Kesehatan Indonesia Vol. 8, No. 2
Publisher : UI Scholars Hub

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Abstract

Despite ongoing efforts and commitment to reducing Low Birth Weight (LBW) babies, globally, the incidence of LBW has stagnated. This study uses a combined factor of maternal and husband/partner education variables to analyze the complexity of LBW incidents. This research uses secondary data from the 2017 SDKI with a multilevel logistic regression analysis method to look at the relationship between the similarity of parental education and the baby's birth weight at the individual and community levels. The results of the research show that mothers who have husbands/partners with equivalent education and higher education (≥high school or equivalent) have a lower tendency to experience LBW than mothers who have partners with unequal education. In addition, mothers who have partners with equivalent education and low educational characteristics have a higher tendency to give birth to LBW compared to other groups of mothers. The variables, including village resident status, living in an environment or community with a high average percentage of extreme poverty, and experiencing problems related to distance to health facilities, were associated with the birth of babies with low birth weight. The importance of commitment related to education, emphasis on fulfilling the number of prenatal visits, and the intervention strategy of the Scaling Up Nutrition (SUN) Movement need to be increased to reduce the number of babies with low birth weights.
Spatial Dependencies in Environmental Quality: Identifying Key Determinants Samosir, Omas Bulan; Karim, Rafidah Abd; Fauzi, M. Irfan; Berliana, Sarni Maniar
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 2 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v16i2.802

Abstract

Introduction/Main Objectives: Environmental quality is essential to human development because it reflects the condition of our natural surroundings. Background Problems: Understanding the determinants of environmental quality is crucial for Indonesia as it helps identify the key factors influencing environmental quality. Novelty: This study seeks to identify the determinants of environmental quality in regencies and municipalities on Java Island, incorporating spatial effects into the analysis. Research Methods: The dependent variable is environmental quality index. The independent variables are GRDP in industrial sector, GRDP in agricultural sector, urban population rate, population density, and poverty rate. We applied spatially lag regression model using contiguity spatial weight matrix. Finding/Results: This study shows the spatially lag regression model outperforms the OLS model. GRDP in the industrial sector, GRDP in the agricultural sector, urban population rate, and population density have negative effects, suggesting the increases in these variables were associated with lower environmental quality.
A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM Berliana, Sarni Maniar; Samosir, Omas Bulan; Karim, Rafidah Abd; Valenzuela, Victoria Pena; Wahyuni, Krismanti Tri; Alfian, Andi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1409-1420

Abstract

Suicide, a global health challenge identified in Goal 3 of the global agenda for enhancing worldwide well-being, demands urgent attention. This study focused on predicting suicidal thoughts using machine learning, leveraging the 2021 National Women's Life Experience Survey (SPHPN) involving women aged 15 to 64. Analyzing 11,305 ever-married women, 504 (4.5%) reported experiencing suicidal thoughts. The outcome variable was binary (1 for suicidal thoughts, 0 for none). The study used seven predictors: age, education level, residence type, physical and sexual violence, smoking frequency, alcohol consumption, and depression. Ordinary logistic regression and SMOTE-based logistic regression were applied. The former identified physical violence, depression, and sexual violence as crucial factors, while the latter emphasized physical violence, sexual violence, and age. In cases of class imbalance, the SMOTE-enhanced model exhibited improved performance in terms of sensitivity, false positive rate, balanced accuracy, and Kappa statistic, with lower standard errors of parameter estimates. The findings highlight the importance of addressing violence and mental health in policies aimed at reducing suicidal thoughts among women. Policymakers can use these insights to develop targeted interventions, and healthcare providers can identify high-risk individuals for timely interventions. Community programs and public health campaigns should promote mental well-being and prevent suicidal behaviors using these findings. Future research should include more predictors, diverse populations, and longitudinal data to better understand causal relationships and timing. Interdisciplinary collaboration and advanced machine learning techniques can enhance predictive accuracy and model interpretability.
Number of Elderly in The Household and Elderly Household Welfare Kusdianto, Dwi; Samosir, Omas Bulan
Economics Development Analysis Journal Vol 12 No 4 (2023): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

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Abstract

Fertility and mortality decline in Indonesia has caused the number of households with elderly members (aged 60 years and above) to grow. However, the level of their welfare is relatively lower. It leads to socio-economic problems such as elderly neglect, decreased quality of human resources, and increased government spending to improve the elderly generation's welfare. Policies to anticipate and deal with these problems need to be taken based on population analysis. This study investigates the association between the number of older people in a household and their household's welfare. Using 86,927 elderly households data from Susenas March 2019, with multiple regression analysis, this study found that the number of elderly is significantly associated with lower household welfare. The number of elderly in the elderly household has the most significant influence on the lower ratio of household welfare compared to the number of adults or children. This study also found that income, region, location, awareness of household members to utilize health services optimally, and the length of education and age of the household head is positively related to better elderly household welfare. Meanwhile, the male household head correlated significantly with a lower welfare ratio than the female household head.
Determinan Perilaku Swamedikasi Penduduk Jawa Tengah Utomo, Agung Priyo; Syahida, Inayati; Berliana, Sarni Maniar; Samosir, Omas Bulan; Sugiarto, Sugiarto
Jurnal Ekonomi Kependudukan dan Keluarga Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

Self-medication has been practiced globally for thousands of years. As a part of primary healthcare services, self-medication forms the cornerstone of a sustainable healthcare system supporting universal health coverage, which is targeted in Sustainable Development Goal 3 (SDG 3), target 3.8. This study aims to provide an overview of self-medication behaviors and the factors influencing them among residents of Central Java Province. Using data from the 2021 National Socio-Economic Survey provided by the BPS-Statistics Indonesia, the sample size of this study includes 19,998 individuals, with 82.1% engaging in self-medication. The prevalence of self-medication is higher among males (84.0%) compared to females (80.6%). Self-medication is more common among individuals who are employed, live in rural areas, are unmarried, do not have health insurance, use the internet, are not poor, or have health complaints that do not interfere with daily activities, compared to their corresponding counterparts. The proportion of self-medication decreases with increasing age or higher education levels. Further binary logistic regression analysis identifies that the propensity for self-medication is higher among males (OR=1.16; 95% CI: 1.07-1.26), employed individuals (OR=1.40; 95% CI: 1.30-1.52), unmarried individuals (OR=1.17; 95% CI: 1.07-1.28), those without health insurance (OR=1.32; 95% CI: 1.20-1.44), the poor (OR=1.16; 95% CI: 1.02-1.31), those with health complaints that do not disrupt daily activities (OR=1.54; 95% CI: 1.43-1.66). The government needs to provide education and information regarding safe and responsible self-medication practices to at-risk groups, such as those with lower education levels, those without health insurance, and the poor, to maximize the benefits of self-medication and minimize the negative impacts of self-medication behaviors.
Pemanfaatan TIK dan Akses Terhadap Kebutuhan KB Yang Tidak Terpenuhi Maghfirah, Maghfirah; Samosir, Omas Bulan; Djutaharta, Triasih
Jurnal Ekonomi Kependudukan dan Keluarga Vol. 1, No. 2
Publisher : UI Scholars Hub

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Abstract

The achievement of unmet need for family planning in the last two years has decreased from 14,7 percent in 2022 to 11,5 percent in 2023. However, that rate is still high because 2024 RPJMN target of unmet need for FP in Indonesia is 7,4 percent. The policies made by the government to reduce unmet need for FP are utilizing ICT and improving access to family planning services. Thus, this research aims to study the relationship between utilizing ICT and access with unmet need for FP in Indonesia. Based on data from 2017 IDHS, the analytical method used in this research are binary and multinomial logistic regression. The results show that the variable of ICT’s devices has a negative relationship with total unmet need for FP, for spacing, and limiting births. Internet has a positive relationship with total unmet need for FP and for spacing births, but negative relationship with unmet need for limiting births. Access to family planning services has a negative relationship with total unmet need for FP and for limiting births. So, it can be concluded that reducing the womens’s opportunities to have unmet need for FP can be done by utilizing ICT and access to FP services.