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All Journal Indonesian Journal of Statistics and Its Applications
Aditya Firman Baktiar
Badan Pusat Statistik Kota Lubuklinggau, Indonesia
Computer Science & IT Mathematics Other

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Identification of Factors Affecting Smoking Prevalence in West Java using Spatial Modeling: Identifikasi Faktor-Faktor Yang Memengaruhi Prevalensi Merokok di Jawa Barat Menggunakan Pemodelan Spasial Aditya Firman Baktiar; Toza Sathia Utiayarsih
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p114-131

Abstract

Smoking behavior is certainly a serious problem that needs to be resolved immediately in Indonesia. It because smoking has been shown to trigger various diseases. More than that, smoking can also causes death. Based on the results of Riskesdas in 2013 and 2018, the province with the highest smoking prevalence in Indonesia is Jawa Barat. Moreover, the prevalence of smoking in Jawa Barat also shows a stable trend and has always been above the national prevalence since 2001. If we look at the spatial distribution, the prevalence of smoking in Jawa Barat shows a grouping where close districts/cities have a similar values to each other. It indicates spatial dependencies that need to be accommodated in the modeling. Therefore, this study was conducted to determine the factors that influence the prevalence of smoking in Jawa Barat by using spatial analysis. Based on the spatial lag model, it was found that the percentage of the population graduating from high school and the percentage of the highland area had a significant effect on smoking prevalence in Jawa Barat. While the percentage of the married population, the percentage of the working population, and tobacco production had no significant effect.
Determinants of Antenatal Care Visits in Indonesia with Synthetic Minority Over-Sampling Techniques for Imbalance Data: Determinan Kunjungan Antenatal Care di Indonesia dengan Teknik Synthetic Minority Over-Sampling untuk Imbalanced Data Nurafiza Thamrin; Aditya Firman Baktiar; Firda Aini Addawiyah; Miftahul Husna; Tati Irwati
Indonesian Journal of Statistics and Applications Vol 7 No 2 (2023)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v7i2p86-104

Abstract

Maternal mortality and infant mortality are two indicators that describe the degree of public health as well as indicators of sustainable development in Indonesia. The acceleration of reduction these two indicators must be supported by antenatal care services since pregnancy for the safety of mothers and babies. Based on the results of the IDHS 2017, antenatal care coverage in Indonesia (77.4%) is still far from the target in 2024 (95%.) This study used logistic regression analysis with Synthetic Minority Oversampling Technique (SMOTE) resampling method because of imbalance data to explore the determinants of complete antenatal care visits in Indonesia and descriptive analysis to find out an overview of complete antenatal care associated with factors that are considered influencing it. Data that was used in this study is the Indonesia Demographic and Health Survey (IDHS) 2017 with unit of analysis for women of childbearing age who are married or live together and gave birth to their last child in the period 2012-2017. The logistic regression results of the SMOTE method show that the variables of mother's education, husband's work status, knowledge of pregnancy danger signs, distance to health facilities, timing first antenatal check, mother's age, economic status, birth order, and number of problems during pregnancy significantly affect the completeness of antenatal care visits. The policy recommendations in this study are expected to be adopted by government to increase antenatal care visits in Indonesia as an effort to reduce maternal and infant mortality.
Co-Authors Firda Aini Addawiyah Miftahul Husna Nurafiza Thamrin Tati Irwati Toza Sathia Utiayarsih