Tiara Posma Udur Hutapea
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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 ANGKA HARAPAN HIDUP DAN KEMISKINAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DI INDONESIA Tessalonika Federova Br Simanjuntak; M. Zuhriadi; Jaiton Habeahan; Ros Juliana Lubis; Tiara Posma Udur Hutapea; Melani Manginar Sirait
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 3 (2024): JUNI - JULI 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Penelitian ini tentang pengaruh angka harapan hidup, dan kemiskinan terhadap Indeks Pembangunan Manusia (IPM) di Indonesia. Penelitian ini menggunakan data sekunder dari Badan Pusat Statistik (BPS) dan sumber lainnya selama periode 2018-2022, serta metode analisis regresi data panel dengan model Fixed Effect Model (FEM). Hasil penelitian menunjukkan bahwa kemiskinan memiliki pengaruh negatif terhadap tingkat indeks pembangunan manusia, sementara angka harapan hidup berpengaruh positif terhadap IPM. Hasil penelitian juga menunjukkan bahwa kontribusi tertinggi dalam IPM adalah angka harapan hidup. Studi lain menemukan bahwa variabel rata-rata lama sekolah, pengeluaran per kapita, dan pengangguran secara simultan berpengaruh signifikan terhadap IPM. Metode penelitian yang digunakan adalah analisis regresi data panel dan metode kuantitatif dengan pendekatan deskriptif. Hasil penelitian ini dapat menjadi acuan dalam merumuskan kebijakan pembangunan di Indonesia.