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All Journal Jurnal Ilmu Pertanian Indonesia Prosiding Seminar Nasional Official Statistics
Thahar, Safira Fauziana
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Analisis Spasial Variabel-Variabel yang Memengaruhi Jumlah Kasus Baru HIV/AIDS di Provinsi Jawa Timur Tahun 2021 Thahar, Safira Fauziana; Sirait, Timbang
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1602

Abstract

HIV/AIDS remains a global health emergency. In the last five years, East Java Province has always occupied the first position in the increase in the number of HIV/AIDS cases in Indonesia. The purpose of this study is to determine the variables that significantly affect the increase in the number of new HIV/AIDS cases in East Java Province in 2021 using the Geographically Weighted Negative Binomial Regression analysis method to overcome overdispersion and spatial effects on data. The independent variables studied were the percentage of condom users, population density, percentage of poor people, average years of schooling, percentage of villages with crimes of drug distribution and abuse, ratio of the number of health facilities per 10.000 population, and ratio of the number of health workers per 10.000 population. The data came from the publications of the Health Office and the Central Bureau of Statistics of East Java Province. The results showed that the distribution of the number of new HIV/AIDS cases in East Java in 2021 tended to cluster. In addition, four groups of districts/cities were formed based on the similarity of independent variables that had a significant effect.
Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators Alfarizal, Ridson; Thahar, Safira Fauziana; Mardani, Shodaidah Ika; Ramadhan, Syairilla Muthia; Marpaung, Leandro Pandapotan; Siagian, Tiodora Hadumaon
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 1 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.1.19

Abstract

The demand for food continues to increase as population growth concerns the Indonesian government, as stated in the second goal of the Sustainable Development Goals, namely zero hunger. The National Food Agency (BPN) uses the Food Security Index (IKP) to monitor food security conditions in Indonesia's district/city and provincial levels. Based on the BPN data, most districts/cities in The Land of Papua (so called Irian Province before the year 2000) are food insecure. However, the IKP has a weakness in the subjectivity of determining weights so that it can disguise the failure of a program or exaggerate a success. The model-based clustering (MBC) method can measure the food security of districts/cities in this area based on food security indicators. However, the data conditions are generally not multivariate distributed, and there are many outliers, so this study used MBC with multivariate t distribution because it is more robust. The best model was obtained with two clusters based on the largest Bayesian Information Criterion value. Cluster 1, located in the mountains and islands such as Nduga, Intan Jaya, Mamberamo Tengah, Puncak, and Lanny Jaya, had low food security, low indicator achievements with high poverty characteristics, many households with a portion of household expenditure on the food of more than 65%, low access to electricity and clean water, low life expectancy and average years of schooling for women, and the percentage of stunted toddlers. Meanwhile, Cluster 2, areas with high food security, had the opposite condition. Keywords: food security, model-based clustering, multivariate t distribution, Land of Papua
Co-Authors Alfarizal, Ridson Mardani, Shodaidah Ika Marpaung, Leandro Pandapotan Ramadhan, Syairilla Muthia Siagian, Tiodora Hadumaon Sirait, Timbang