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Determinan Ketimpangan Pendidikan di Indonesia Tahun 2022 Sigalingging, Amelia Rahel; Silalahi, Agnes R.K.; Mahendra, Dafa Ryandika; Jonatan, Hotton; Purwoto, Agus
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 7 (2024): Madani, Vol 2. No. 7, 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12567281

Abstract

Educational inequality is a longstanding issue in Indonesia. Uneven educational conditions are triggered by several specific factors. This study aims to identify the factors affecting educational attainment through the approach of the average length of schooling (RLS). The analytical method used is multiple linear regression. The analysis results show that the Percentage of Poor Population (PPM), the proportion of women aged 20-24 years who are married or living together before the age of 18, the student-teacher ratio, and the Open Unemployment Rate (TPT) significantly affect the average length of schooling in Indonesia. The increase in PPM and the proportion of married women tends to increase educational inequality in Indonesia, while the increase in the student-teacher ratio and TPT can reduce educational inequality in Indonesia.
Aplikasi Regresi Data Panel: Determinan Kualitas Lingkungan Hidup di Indonesia Tahun 2019-2023 Jonatan, Hotton; Salam, Rudi
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2471

Abstract

The Environmental Quality Index (IKLH) is an indicator used to measure environmental development in Indonesia. Nationally, IKLH showed an increasing trend from 2019 to 2023. However, Indonesia's Environmental Performance Index (EPI) in 2024 was only 33.6, ranking 163rd out of 180 countries, reflecting poor environmental quality by global standards. This study analyzes the factors affecting IKLH using panel data regression from 2019 to 2023. The variables include population density, GRDP per capita, energy consumption, and the percentage of the poor population. The results indicate that population density, GRDP per capita, and energy consumption have a significant negative effect on IKLH, while the percentage of the poor has a positive but insignificant effect. These findings highlight that economic and demographic pressures are key contributors to declining environmental quality. Hence, sustainable control of economic activities and population growth, along with integrated environmental policy reforms, is essential.