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Negative Binomial Regression Modeling in the Analysis of Malnourished Under-Five Children in Central Java in 2023 Bayu Aji Bachtiar; Udin Erawanto
JOSAR (Journal of Students Academic Research) Vol 10 No 2 (2025): September
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/josar.v10i2.4651

Abstract

Toddlers in Indonesia are an age group that is vulnerable to the impacts of malnutrition. Central Java Province is the province with the highest number of cases of malnutrition in toddlers in Java, namely 9525 cases of malnutrition during 2023. This study aims to analyze the variables that influence malnutrition in Central Java Province in 2023. The data used are secondary data in 2023sourced from the Badan Pusat Statistik (BPS), Central Java Provincial Health Service, and Badan Panga Nasional (BPN). The analysis method used is negative binomial regression for modeling enumeration data to overcome the problem of overdispersion in Poisson regression. The results of the analysis show that there is a negative influence of the variables of the percentage of households with access to proper sanitation, the food security index, and the percentage of babies receiving exclusive breastfeeding on the number of cases of malnutrition in toddlers. Meanwhile, the proportion of women aged over 15 years who have a maximum junior high school diploma has an effect on increasing cases of malnutrition in toddlers.
A Spatial Approach: The Impact of Information and Communication Technology (ICT) Development on Reducing Educational Inequality in Papua, 2024 Bayu Aji Bachtiar; Miftahus Sa'aadah; Udin Erawanto
JOSAR (Journal of Students Academic Research) Vol 11 No 1 (2026): March 2026
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/5cgjfg58

Abstract

Education is a national development priority that is a strategic element in promoting the adoption of modern technology and sustainable growth, as reflected in National Long-Term Development Plan (RPJPN) 2025–2045 and the fourth Sustainable Development Goal (SDG). However, educational inequality in Papua and West Papua remains a serious challenge in terms of equitable access to quality education. This study aims to evaluate the impact of digital development on educational inequality in these two provinces. Secondary data from the Central Statistics Agency (BPS-Statistics) and the Directorate General of Fiscal Balance (DJPK) were analyzed using the Spatial Error Model (SEM) to examine the influence of Information and Communication Technology (ICT) on the Education Gini Coefficient (EGC). The results show that variables such as internet access for people aged 7-18 years, the Community Literacy Development Index (IPLM), Mean Years of School (MYS), and regional education budgets play a significant role in reducing educational inequality. These findings confirm that digital development plays a strategic role in creating an inclusive and equitable education system. This research is expected to serve as a basis for formulating adaptive technology-based education policies to overcome educational inequality in Papua Island.