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All Journal Jurnal Ilmu Sosial dan Ilmu Politik Jurnal Berkala Kesehatan Jurnal Keperawatan Padjadjaran BAREKENG: Jurnal Ilmu Matematika dan Terapan Al-sihah: The Public Health Science Journal Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Keluarga Berencana PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Economic Development Analysis Journal Jurnal Ekonomi Kesehatan Indonesia Jurnal Ekonomi Kependudukan dan Keluarga
Samosir, Omas Bulan
Department Of Economics, Faculty Of Economics And Business, Universitas Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation

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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.
HUBUNGAN PEMBANGUNAN KELUARGA DAN PEMAKAIAN KONTRASEPSI DI INDONESIA (ANALISIS DATA SRPJMN 2017) Mario Ekoriano; Aditya Rahmadhony; Titut Yuli Prihyugiarto; Omas Bulan Samosir
Jurnal Keluarga Berencana Vol. 5 No. 1 (2020): Jurnal Keluarga Berencana
Publisher : Badan Kependudukan Dan Keluarga Berencana Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.63 KB) | DOI: 10.37306/kkb.v5i1.36

Abstract

Indonesia menghadapi tantangan yang besar dalam mencapai tujuan pembangunan nasional dan global. Angka pertumbuhan penduduk relatif masih tinggi. Penurunan tingkat kelahiran mandek pada periode 2000-2012. Pemakaian kontrasepsi meningkat lambat. Studi ini bertujuan untuk mempelajari hubungan antara pembangunan keluarga dan pemakaian kontrasepsi di Indonesia. Data yang digunakan bersumber dari hasil Survei Indikator Kinerja Program KKBPK RPJMN tahun 2017. Unit analisis adalah perempuan kawin usia 15-49 tahun berstatus kawin atau hidup bersama. Data dianalisis secara deskriptif dan inferensial. Secara deskriptif, pola dan perbedaan pemakaian kontrasepsi menurut kualitas pembangunan keluarga dan faktor-faktor demografi, sosial, dan ekonomi disajikan. Secara inferensial, suatu analisis multivariat pengaruh pembangunan keluarga terhadap pemakaian kontrasepsi dilakukan, dengan dikontrol terhadap pengaruh faktor-faktor demografi, sosial, dan ekonomi, dengan menggunakan metode regresi logistik biner. Hasil studi menunjukkan bahwa setelah dikontrol terhadap pengaruh faktor-faktor demografi, sosial, dan ekonomi, probabilitas pemakaian kontrasepsi lebih tinggi pada pasangan usia subur usia 15-49 tahun yang berstatus kawin atau hidup bersama yang telah melaksanakan fungsi keluarga.
Wages of Workers Spatial Analysis in Indonesia Region 2019 Maghfirah Maghfirah; Omas Bulan Samosir
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.66

Abstract

The wage inequality of workers in Indonesia is one of the main problems and concerns that are important to be addressed by the government. The determination of the regional minimum wage by the local government has not been able to solve the problem of inequality. On a larger scale, the wage inequality of workers can affect the stability of the national economy. Research on the spatial analysis of workers' wages is very important to be carried out as a basis for making appropriate policies by the government. In this study, we have succeeded in analyzing the dependence and spatial relationship of a region with the wages of its workers and have identified the factors that affect the wages of workers in a region. The result reveals the spatial dependences are detected among districts, followed by the spatial clusters and spatial outliers through global and local spatial autocorrelation. Applying two spatial autoregressive models, spatial autoregressive lag model (SAL) and spatial autoregressive error model (SEM), SAL confirmed that there are 4 significant independent variables with a level of 10 percent and have a positive relationship, namely education, age, internet, and sex ratio variables. And SEM confirmed that there are significants 5 significant independent variables with a level of 10 percent and have a positive relationship, namely education, age, technology, internet, and sex ratio variables. As the policy implication, since regional inequality in term of wage is still a major issue, it will be a call for better coordination and cooperation within and between regions.
Association between women’s empowerment and contraceptive failure in Indonesia: 2017 IDHS data analysis Sizi Lia Ginoga; Omas Bulan Samosir; Triasih Djutaharta
Jurnal Keperawatan Padjadjaran Vol. 12 No. 1 (2024): Jurnal Keperawatan Padjadjaran
Publisher : Faculty of Nursing Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkp.v12i1.2342

Abstract

Background: Contraceptive failure has negative consequences, including unwanted pregnancies and abortions, which can cause maternal morbidity and mortality. Contraceptive failure is influenced by individual factors such as the user and the quality of the contraceptive method/device. One of the individual factors is the cultural factor which can be seen from the empowerment of women in improving the quality of health, including the use of contraception. There is no study which has discussed women’s empowerment as the determination of contraceptive failure. Purpose: Therefore, this study aims to analyze the association of women’s empowerment in contraception failure in Indonesia. Methods: The data source used is the results of the 2017 IDHS (Indonesia’s Demographic and Health Survey) with the unit of analysis from the period of using contraceptives to women who get pregnant while using contraceptives. The dependent variable is the duration of contraceptive usage. The main independent variable is women’s empowerment as measured by four indicators, namely asset ownership in the name of the wife, ability of decision-making in the household, ability to earn cash by working, and attending at least junior high school. Data were analyzed using the survival analysis method. Results: The results of the analysis show that the four factors of women’s empowerment have a significant negative association with contraceptive failure after controlling for socioeconomic, demographic, and environmental factors. Conclusion: Variables that are positively associated with contraceptive failure are participation in household decisions, education, residence status, and internet usage. Variables that are negatively associated with contraceptive failure are asset ownership, working status, and number of children.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Aditya Rahmadhony Agung Priyo Utomo Alfian, Andi Diah Ayu Utami Dian Ayu Puspitasari Djutaharta, Triasih Dwi Kusdianto Fauzi, M. Irfan Johanna, Mudya Karim, Rafidah Abd Kusdianto, Dwi Lia Gustina Maghfirah Maghfirah Maghfirah Maghfirah Mario Ekoriano Rafly Parenta Bano Sarni Maniar Berliana, Sarni Maniar Sizi Lia Ginoga Sugiarto S Suryaningrum, Nugrahayu Syahida, Inayati Titut Yuli Prihyugiarto Triasih Djutaharta Triasih Djutaharta Valenzuela, Victoria Pena Wahyuni, Krismanti Tri