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All Journal PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Rini Rahani
STIS Polytechnic of Statistics
Computer Science & IT

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A Spatial Analysis of Crime in East Java Province in 2019 Choirul Ummah; Rini Rahani
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.v2021i1.227

Abstract

Crime is one of the consequences of fluctuations in the economic condition of a country. Crime incidents harm many parties. The number of criminal acts increased in 2019, especially in Sumatra and Java Island. Most provinces experienced an increasing number of criminal acts, one of them was East Java. East Java contributed more than a quarter of the number of crimes throughout Java Island. The number of criminal acts is count data with overdispersion because its variance is higher than its average. This study aims to analyze the number of criminal acts by applying Geographically Weighted Negative Binomial Regression (GWNBR). The result shows that GWNBR formed two regional groups based on significant variables. The four independent variables namely the unemployment rate, the number of poor people, the Gini ratio, and the police population ratio have a significant effect on all districts/cities. However, the mean year of schooling shows a significant effect only in certain districts/cities. The GWNBR is the best model in modelling the number of criminal acts in East Java.
Determinants of Comprehensive Understanding of Stunting among Indonesian Pregnant Women and Mothers of Toddlers Aged 0–23 Months in 2023 Agnes Rosihan Kristianti Silalahi; Rini Rahani
Joint International Conference 2026: The 2nd Indonesia Forum on Labour and Productivity (IFLP) & The 4th International Conference on Data Science and Official Statistics (ICDSOS) Vol. 2025 No. 1 (2025): Proceedings of 2025 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.v2025i1.688

Abstract

Stunting is a chronic nutritional disorder that remains a priority in Indonesia. As withthe second goal of the SDGs (zero hunger), the Ministry of Health (MoH) has implemented acommunication strategy for behavioural change and community empowerment through a classprogram for pregnant women and mothers of toddlers class using the Maternal and Child Health(MCH) book. However, it is still not optimal to increase the understanding of stunting. The 2023Indonesian Health Survey (IHS) shows that women in Indonesia still have a poor comprehensiveunderstanding of stunting. It has includes pregnant women and breastfeeding mothers as keytarget groups for stunting reduction. This study aims to describe and analyse the characteristicsof Indonesian pregnant women and mothers of toddlers aged 0–23 months that significantlyinfluence their comprehensive understanding levels of stunting. Data from 2023 IHS wereanalysed using descriptive statistics with graph and table, together with inferential analysisthrough ordinal logistic regression using the Proportional Odds Model (POM). The result showsthat the majority of these mothers have a poor level of comprehensive understanding of stunting,with five variables having a significant influence, namely: access to information, education level,employment status, socioeconomic status, and residence area.
Co-Authors Agnes Rosihan Kristianti Silalahi Choirul Ummah