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All Journal Quantitative Economics Journal Jurnal Ekonomi Manajemen Dan Bisnis (JEMB)
Muhammad Bagas Ardhana
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Economics, Econometrics & Finance

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THE INFLUENCE OF LIFE EXPECTANCY, AVERAGE LENGTH OF SCHOOL AND EXPECTATION OF LENGTH OF SCHOOL ON HUMAN DEVELOPMENT INDEX IN BINJAI CITY Siti Alifah Handayani; Lubis, Nasrullah Hidayat; Dhea Amanda; Syarifah; Muhammad Bagas Ardhana; Tiara Posma Udur Hutapea
Quantitative Economics Journal Vol. 13 No. 2 (2024): OKTOBER 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v13i2.65262

Abstract

This research aims to analyze the influence of life expectancy, average length of schooling, and expected length of schooling on the Human Development Index (HDI) in Binjai City, Indonesia. Using a quantitative approach and secondary data from the Central Statistics Agency (BPS) for the period 2010 to 2023, regression analysis shows that these three variables have a significant influence on HDI, with an Adjusted R Square of 0.995, which means 99.5% of the variation in HDI can be explained by these variables. the. The F test results showed a significant regression model (F = 865.744, Sig. = 0.000), while the t test confirmed that life expectancy (t = 6,139), average years of schooling (t = 8,478), and expected years of schooling (t = 6,254) contributes positively to HDI. These findings emphasize the importance of health and education in improving people's quality of life. This research recommends increasing access to education and health services as a strategic step to increase HDI and community welfare in Binjai City. It is hoped that the research results can become a reference for policy makers in designing effective programs for human development in the region
PENGARUH TINGKAT PENGAGGURAN, PENDIDIKAN, DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT KEMISKINAN DI INDONESIA PERIODE 2004-2023 MELALUI METODE PENDEKATAN ECM Anjel Ezania Sihombing; Zakia Hasanah Hasibuan; Desry Situngkir; Rista Y Lumbangaol; Muhammad Bagas Ardhana
Jurnal Ekonomi Manajemen Dan Bisnis (JEMB) Vol. 1 No. 6 (2024): Juli
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jemb.v1i6.1546

Abstract

Tujuan dari penelitian ini adalah untuk melihat variabelvariabel yang mungkin mempengaruhi tingkat kemiskinan di Indonesia. Indeks Pembangunan Manusia (IPM) tahun 2004–2023 serta tingkat pengangguran dan pencapaian  pendidikan merupakan variabel independen yang diteliti. Pendekatan Error Correction Model (ECM) digunakan dalam analisis data untuk menyelesaikan permasalahan data time series yang tidak stasioner. ECM. Temuan penelitian menunjukkan bahwa: a) kemiskinan di Indonesia dipengaruhi secara positif secara signifikan dan parsial oleh variabel Tpt. b) Terdapat pengaruh negatif yang signifikan dan parsial dari variabel pendidikan terhadap kemiskinan di Indonesia. c) Tidak ada dampak parsial variabel IPM terhadap kemiskinan di Indonesia.  
Co-Authors Anjel Ezania Sihombing Desry Situngkir Dhea Amanda Lubis, Nasrullah Hidayat Rista Y Lumbangaol Siti Alifah Handayani Syarifah Tiara Posma Udur Hutapea Zakia Hasanah Hasibuan