Analisis Faktor-faktor yang Mempengaruhi Tingkat Kemiskinan di Sumatera Utara Menggunakan Structural Equation Modeling

Authors

  • Yessica Thania Silaban Universitas Sumatera Utara
  • Elly Rosmaini Universitas Sumatera Utara
  • Open Darnius Universitas Sumatera Utara
  • Asima Manurung Universitas Sumatera Utara

DOI:

https://doi.org/10.59581/konstanta.v2i2.3220

Keywords:

Poverty, Structural equation modeling, Education, Unemployment, Pandemic Covid 19 , Human Development Index

Abstract

Poverty is a fundamental problem that is the center of attention of the government in any country. The aim of this research is to analyze the influence of education, unemployment, the Covid-19 pandemic and the human development index on poverty in North Sumatra. The data used in this research is secondary data based on time series available on the official website of the Central Statistics Agency in North Sumatra. This research data processing uses the help of SmartPLS 3 software. The research analysis used in this research is Structural Equation Modeling which shows that the variables education, unemployment, the Covid 19 pandemic and the human development index are exogenous variables and poverty is an endogenous variable. The research results obtained an R-Square value of 0.511 or 51.1%. The large value of the coefficient of determination shows that the independent variables consisting of education, unemployment, the Covid-19 pandemic and the human development index are able to explain the dependent variable, namely the poverty percentage of 51.1%. Meanwhile, the remaining 48.9% is explained by other variables not included in this research model. The human development index variable has a negative and significant effect on poverty of 0.678. For the Covid 19 Pandemic variable, it has a negative and significant effect on poverty of 0.267.

References

Bachrudin A, Tobing HL, (2017): Lisrel 8 Analisis Data untuk Penelitian Survei Dilengkapi dengan Contoh Kasus. Bogor: Penerbit In Media.

BPS (2014): Penghitungan dan Analisis Kemiskinan Makron Indonesia Tahun 2014, BPS, Jakarta.

BPS, (2020): Data dan Informasi Kemiskinan Kabupaten/Kota 2020, Jakarta: Badan Pusat Statistik, Jakarta.

Esposito V., Vincenzo, Trinchera, Laura, Amato & Silvano. (2010). PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. 10.1007/978-3-540-32827-8_3.

Esta Dewi Anggita, (2017): Analisis Structural Equation Modeling Pendekatan Partial Least Square dan Pengelompokan dengan Finite MIXTURE PLS (FIMIX-PLS), Jurnal Gaussion.

Ghozali & Fuad, (2008b): Structural Equation Modeling, Metode Alternatif dengan Partial Least Square, Badan Penerbit Universitas Diponegoro, Semarang.

Ghozali, I..& Latan, H. (2015): Partial Least Squares. Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0. Untuk Penelitian Empiris (2nd ed.). Semarang: Badan Penerbit Universitas Diponegoro.

Gusmiarti, Anita (2018): Penerapan Metode Structural Equation Modeling Pada Analisis Tingkat Kepuasan Mahasiswa FMIPA UII, Yogyakarta.

Hair, J. Alamer (2022): Partial Least Squares Structural Equation Modeling (PLS-SEM) In Second Language and Education Research: Guidelines Using An Applied Example. Research Methode in Applied Linguistics [ejournal];1(3): 100.027. Elsevier Lt.[3 Januari 2022].

Hasrat Ifolala Zebua, (2022): Structural Equation Model (SEM) dalam Pemodelan Kemiskinan di Pulau Sumatera, Journal of Applied Statistics.

Jogianto, (2005), Konsep dan Aplikasi SEM Berbasis Varian dalam Penelitian Bisnis, UPP STIM YKPN, Yogyakarta.

Sukirno, Sadono. (2006): Makro Ekonomi Teori Pengantar Edisi Ketiga. Jakarta: Raja Grafindo Persada.

Todaro, (1997): Hubungan Kausalitas Investasi dengan Pertumbuhan Ekonomi Indonesia. Signifikan: Jurnal Ekonomi,2(1).

Wiguna, V. I., dan Sakti, R. K.,(2010): Analisis Pengaruh PDRB, Pendidikan dan Pengangguran Terhadap Kemiskinan di Provinsi Jawa Tengah Tahun 2005-2010, Jurnal Ilmiah Mahasiswa FEB,1(2).

Yohana Manik (2019) Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan di Kota Tanjung Balai, Sumatera Utara.

Published

2024-05-20

How to Cite

Yessica Thania Silaban, Elly Rosmaini, Open Darnius, & Asima Manurung. (2024). Analisis Faktor-faktor yang Mempengaruhi Tingkat Kemiskinan di Sumatera Utara Menggunakan Structural Equation Modeling. Konstanta : Jurnal Matematika Dan Ilmu Pengetahuan Alam, 2(2), 106–121. https://doi.org/10.59581/konstanta.v2i2.3220

Similar Articles

<< < 1 2 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.