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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.
Tantangan Menuju Masyarakat Inklusif: Apakah Ketimpangan Ekonomi dan Korupsi Mengancam Hak Asasi Manusia? Putri, Nimas Ayu Eka; Oktaviana, Siska Wahyu; Rajagukguk, Marlon Brando; Kartiasih, Fitri
Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol 9, No 1 (2025): April 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i1.6384

Abstract

Economic inequality and political corruption are two structural issues that significantly affect the protection of human rights, particularly in developing countries such as Indonesia. Economic inequality, characterized by unequal income distribution and limited access to basic services, exacerbates the vulnerability of marginalized communities. Meanwhile, political corruption undermines democratic institutions, fosters injustice, and restricts public access to fundamental rights. This study aims to analyze the impact of economic inequality and political corruption on the Human Rights Index (HRI) in Indonesia during the period 1993–2023 using the Error Correction Model (ECM) approach. The results indicate that both in the short and long term, economic inequality measured by the Gini Coefficient and political corruption levels significantly contribute to the decline in HRI. In the long term, a 1% increase in the Gini Coefficient reduces the HRI by 0.59%, while a 1% rise in the Political Corruption Index lowers the HRI by 5.68%. This study underscores the importance of inclusive and transparent institutional reforms to address these structural challenges and improve the protection of human rights in Indonesia.