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All Journal Prosiding Seminar Nasional Official Statistics Social Sciences Insights Journal
Kesumawijaya, Anak Agung Istri Anggita
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Pendeteksian dan Determinan Overfishing di Indonesia: Penerapan Analisis Klaster dan Regresi Logistik Biner Johan, Muhammad Fazlan; Zareka, Andi Muh. Zulfadhil; Kesumawijaya, Anak Agung Istri Anggita; Kurniasari, Agustin; Maharani, Jessica; Putri, Nimas Ayu Eka
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2096

Abstract

Overfishing causes a decline in fish stocks, imbalance in marine ecosystems, and economic losses for the fisheries sector. This study aims to obtain a model that is able to detect overfishing in various provinces in Indonesia using a combination of cluster analysis and logistic regression. The data used in this research is secondary data obtained from the Central Statistics Agency (BPS) and the Indonesian Ministry of Maritime Affairs and Fisheries (KKP) which includes information related to marine fish production in Indonesia in 2022. From the study conducted, it was found that the provincial data are classified into two clusters where the second cluster was classified as overfished provinces. Based on the analysis carried out, the best model for modeling overfishing is a logistic regression model with two predictor variables, which are exports and fish consumption rates. Thus, it is hoped that this research can serve as a guide for the government in formulating sustainable policies to reduce the number of overfishing in Indonesia in the following years.
Why is Papua's human development lagging behind? a comprehensive study of education, health, and welfare Raihannabil, Syfriza Davies; Ananda, Rizhieq Dwi; Kesumawijaya, Anak Agung Istri Anggita; Nabila, Chulia Rachma; Khairani, Nadita
Social Sciences Insights Journal Vol. 3 No. 1 (2025): Social Sciences Insights Journal
Publisher : MID Publisher International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/q463f793

Abstract

This study analyzes the determinants of the Human Development Index (HDI) in Papua Province, which continues to lag behind other regions and has not yet met the 2024 RPJMN target, consisting of expected and mean years of schooling as an education indicator, life expectancy as a health indicator, and per capita expenditure as a welfare indicator. The data used comes from BPS in the form of secondary data. This research method uses multiple linear regression analysis. Research shows that increasingly secure education, health, and welfare significantly increase HDI. These findings emphasize the importance of strengthening policies in the fields of education, health, and economic welfare to accelerate human development in Papua. The main contribution of this study is to provide up-to-date empirical evidence on human development disparities at the district/city level in Papua Province, as well as identify priorities for more targeted policy interventions.
Co-Authors Ananda, Rizhieq Dwi Johan, Muhammad Fazlan Khairani, Nadita Kurniasari, Agustin Maharani, Jessica Nabila, Chulia Rachma Putri, Nimas Ayu Eka Raihannabil, Syfriza Davies Zareka, Andi Muh. Zulfadhil