Abstract

Poverty is a complex and multidimensional problem so that it becomes a development priority. One of the measurement tools commonly used in seeing the quality of human life is the human development index. The purpose of this study is to analyze the HDI in Indonesia including poverty which is a general impact. The analysis was conducted using the Path Analysis method approach which is an extension of the regression analysis. The factors that had the greatest influence on HDI values in Indonesia in 2019 were Life Expectancy, then Regional Original Income, then Old School Expectations and who had the smallest influence and had a negative effect on HDI values in Indonesia in 2019 were the Number of Hospitals. The factor that has the greatest influence and has a negative influence on the percentage of poor population in Indonesia in 2019 is the Human Development Index, and another factor that also affects the percentage of poor population in Indonesia in 2019 is Hope for School Duration.

Highlights

  • Kemiskinan merupakan masalah yang kompleks dan bersifat multidimensional sehingga menjadi prioritas pembangunan

  • of the measurement tools commonly used in seeing the quality of human life is the human development index

  • conducted using the Path Analysis method approach which is an extension of the regression analysis

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Summary

The Indonesian Journal of Social Studies

Andika Nikola Putra1)*, Helen Fricylya Br Tobing2), Ossy Sanityasa Rahajeng3), Risni Julaeni Yuhan). Kemiskinan merupakan masalah yang kompleks dan bersifat multidimensional sehingga menjadi prioritas pembangunan. Salah satu alat ukur yang lazim digunakan dalam melihat kualitas hidup manusia adalah indeks pembangunan manusia. Tujuan penelitian ini adalah untuk melakukan analisis terhadap IPM di Indonesia termasuk kemiskinan yang merupakan dampak secara umum. Faktor yang memiliki pengaruh paling besar terhadap nilai IPM di Indonesia tahun 2019 adalah Umur Harapan Hidup, lalu Pendapatan Asli Daerah, kemudian Harapan Lama Sekolah dan yang memiliki pengaruh paling kecil sekaligus berpengaruh negatif terhadap nilai IPM di Indonesia tahun 2019 adalah Jumlah Rumah Sakit. Faktor yang memiliki pengaruh paling besar sekaligus memiliki pengaruh negatif terhadap Persentase Penduduk Miskin di Indonesia tahun 2019 adalah Indeks Pembangunan Manusia, dan faktor lainnya yang juga mempengaruhi Persentase Penduduk Miskin di Indonesia tahun 2019 adalah Harapan Lama Sekolah.

METODE PENELITIAN
Variabel Tolerance
Variabel RS PAD UHH HLS
Variabel Standardized Coefficient
Pengaruh Langsung
Pengaruh Tidak Langsung
Menguji Keefektifan Variabel Intervening

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