Analisis Faktor-Faktor Yang Mempengaruhi Dimensi Penyusun Indeks Pembangunan Manusia (IPM) Di Provinsi Sulawesi Utara
DOI:
https://doi.org/10.35791/agrsosek.v19i2.49319Keywords:
human development index; pure partisipation rate; poverty; unemploymentAbstract
This study aims to analyze the Pure Partisipation Rate of SD/MI and Gross Regional Domestic Product which affect the Education Dimension (Expected Years of Schooling) in North Sulawesi Province and to analyze the number of poor people and the open unemployment rate which affect the Expenditure Dimension (Decent Standard of Living) in North Sulawesi Province. This research was conducted from March to May 2023. The type of data used is secondary data from published reports produced by the North Sulawesi Central Statistics Agency for 2021. The objects in this study were 15 districts/cities in North Sulawesi province. The results of the study show that the Pure Partisipation Rate of SD/MI and Gross Regional Domestic Product simultaneously have an influence on the Old School Expectancy. The influence exerted by PPR SD/MI is 37.7% and GRDP is 25.8%. The number of poor people and the open unemployment rate simultaneously have an influence on per capita spending. The influence given by the number of poor people is 39.9% and the open unemployment rate is 45.8%.
References
Akhmad, F.A.P. 2016. Pengaruh Kualitas SDM Terhadap Pertumbuhan Ekonomi. Jurnal Parameter. 1(2), September 2016.
Badan Pusat Statistik Provinsi Sulawesi Utara. 2022. Indeks Pembangunan Manusia Provinsi Sulawesi Utara 2021.
Cahyanti, N.D., Muchtolifah., & Sishadiyati. 2021. Faktor-Faktor Indeks Pembangunan Manusia di Provinsi Jawa Timur. Jambura Economic Education Journal. 3(2), 93-101.
Ghozali, I. 2011. Aplikasi Analisis Multivariate dengan Program IBM SPSS 19. Badan Penerbit Universitas Diponegoro. Semarang.
Gujarati, N.D. 2003. Basic Econometrics. 4th ed. McGraw-Hill Companies, Inc. New York.
Handriani, D.J. & K. Zakiah. 2019. Proses Adaptasi Ikatan Mahasiswa Fakfak di Kota Bandung. Thesis Universitas Komputer Indonesia. Bandung.
Human Development Reports. 1990. A Journey through Human Development Reports (1990-2006). Administrative Training Institute Government of West Bengal.
Janie, D.N.A. 2012. Statistik Deskriptif dan Regresi Linier Berganda dengan SPSS. Jurusan Akuntansi Fakultas Ekonomi, Universitas Semarang. Semarang University Press.
Kahar, A.M. 2018. Analisis Angka Harapan Lama Sekolah di Indonesia Timur Menggunakan Weighted Least Squares Regression. Jurnal Matematika “Mantik”, 4(1), 32-41.
Kementerian Pemberdayaan Perempuan dan Perlindungan Anak (Kemenpppa). 2014. Indeks Pembangunan Manusia 2014 Metode Baru. Jakarta.
Ma’ruf, A. & L. Wihastuti. 2008. Pertumbuhan Ekonomi Indonesia: Determinan dan Prespeknya. Jurnal Ekonomi dan Studi Pembangunan. 9(1), 44-55.
Natoen, A., Sopiyan, A.R., Satriawan, I., & Periansya. 2018. Faktor-Faktor Demografi yang Berdampak Terhadap Kepatuhan WP Badan (UMKM) di Kota Palembang. Jurnal Riset Terapan Akuntansi, 2(2), Juli 2018.
Nuraini, F.A. 2017. Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia (IPM) di Indonesia Menggunakan Metode Regresi Probit Biner. Institut Teknologi Sepuluh Nopember. Surabaya.
Sapaat, T.M., Lapian, A.L.Ch.P., & Tumangkeng, S.Y.L. 2020. Analisis Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia di Provinsi Sulawesi Utara Tahun (2005-2019). Jurnal Berkala Ilmiah Efisiensi. 20(3), 46-56.
Sugiono, 2008. Metode Penelitian Kuantitatif Kualitatif dan R&D. Penerbit Alfabeta. Bandung.
Widarjono, A. 2007. Ekonometrika: Teori dan Aplikasi untuk Ekonomi dan Bisnis. Edisi Kedua. Yogyakarta: Ekonisia Fakultas Ekonomi Universitas Islam Indonesia.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The copyright holder is the journal.Â
