Published: 2023-04-30
Analisis Pengaruh Jumlah Pengangguran Terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linier (Studi Kasus: Kota Salatiga)
DOI: 10.35870/emt.v7i2.1013
Mei Irawati, Magdalena A. Ineke Pakereng
-
Mei Irawati:
Satya Wacana Christian University
-
Magdalena A. Ineke Pakereng:
Satya Wacana Christian University
Abstract
Poverty continues to be a major global problem, especially in developing countries including Indonesia, the low level of income earned by the community can hinder the welfare and civilization of society to ensure its survival. The purpose of this study was to analyze the effect of the number of unemployed on the amount of poverty based on time series data. The data was obtained from the Central Statistics Agency (BPS) of Salatiga City. This becomes a reference for analyzing the effects of unemployment and poverty in the last 5 years. The method used in this study is the Linear Regression Method. Linear regression is a method to determine how close the relationship or influence is between two variables (independent variables and dependent variables). After conducting research, it showed that the results of the analysis of the effect of the number of unemployed on the number of poverties in Salatiga City using the linear regression method obtained the following regression equation: Y = 8.678123 + 0.0001484 X. Where the variable number of unemployed (X) has a positive effect on the variable the number of poverty (Y) in Salatiga City (b = 0.0001484) but the value of b is almost close to a negative value, therefore it is possible that the number of unemployed can affect the amount of poverty
Keywords
Article Information
This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 7 No. 2 (2023)
-
Section: Articles
-
Published: 2023-04-30
-
License: CC BY 4.0
-
Copyright: © 2023 Authors
-
DOI: 10.35870/emt.v7i2.1013
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem.
Mei Irawati, Satya Wacana Christian University
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia
Magdalena A. Ineke Pakereng, Satya Wacana Christian University
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia
-
Ahmad Rifa’i. (2019). Metode Regresi Linier Untuk Memprediksi Jumlah Pendaftar Calon Mahasiswa Baru Universitas Islam Indragiri. Values : Jurnal Pengabdian Kepada Masyarakat, 1(1), 42–51.
-
Almumtazah, N., Azizah, N., Putri, Y. L., & Novitasari, D. C. R. (2021). Prediksi Jumlah Mahasiswa Baru Menggunakan Metode Regresi Linier Sederhana. Jurnal Ilmiah Matematika Dan Terapan, 18(1), 31–40. https://doi.org/10.22487/2540766x.2021.v18.i1.15465
-
Bidara Pink. (2018). Data Baru BPS : Jumlah Penduduk Miskin di Indonesia Berkurang. Jurnal Sosial Humaniora Terapan, 1(1), 1–6.
-
Dwi, S. (2018). Penyebab Tingginya Angka Pengangguran Di Kota Metro. Fakultas Ekonomi Dan Bisnis Islam. Institut Agama Islam Negeri Metro, 23, 107.
-
Dwi Suci Riyani, D., Nur Atala Singgih, M., Wahidah, Z., & Widodo, E. (2021). Analisis Pengaruh Mobilitas Penduduk terhadap Kasus Covid-19 Selama Masa Pandemi di Indonesia Menggunakan Regresi Linier Berganda. Jurnal Teknologi, 14(2), 106–113. https://doi.org/10.34151/jurtek.v14i2.3636
-
Franita, R. (2016). Analisa Pengangguran Di Indonesia. Jurnal Ilmu Pengetahuan Sosial, 1(3), 88–93.
-
Harlik, H., Amir, A., & Hardiani, H. (2013). Faktor-Faktor yang Mempengaruhi Kemiskinan dan Pengangguran di Kota Jambi. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah, 1(2), 109–120. https://doi.org/10.22437/ppd.v1i2.1500.
-
Hilmi, Marumu, M. N. H. D., Ramlawati, & Peuru, C. D. (2022). Pengaruh Jumlah Penduduk dan Pengangguran Terhadap Tingkat Kemiskinan di Kabupaten Tolitoli. Jurnal Ilmiah Ekonomi Pembangunan, 1(1), 20–27.
-
Indayani, S., & Hartono, B. (2020). Analisis Pengangguran dan Pertumbuhan Ekonomi sebagai Akibat Pandemi Covid-19. Jurnal Ekonomi & Manajemen Universitas Bina Sarana Infoematika, 18(2), 201–208. https://ejournal.bsi.ac.id/ejurnal/index.php/perspektif/article/view/8581.
-
Ishak, R. A., Zakaria, J., & Arifin, M. (2020). Pengaruh Pertumbuhan Ekonomi, Pendidikan dan Pengangguran Terhadap Tingkat Kemiskinan di Kota Makassar. PARADOKS : Jurnal Ilmu Ekonomi, 3(2), 41–53. https://doi.org/10.33096/paradoks.v3i2.463.
-
Matematika, J., Islam, U., Sultan, N., Kasim, S., Industri, J. T., Islam, U., Sultan, N., Kasim, S., & Karya, T. (2022). Pengaruh Tingkat Kemiskinan Terhadap Pembangunan Rumah Layak Huni Di Provinsi Riau Menggunakan Metode Analisis Regresi Sederhana. 1(3), 131–136.
-
Ristika, E. D., Primandhana, W. P., & Wahed, M. (2021). Analisis Pengaruh Jumlah Penduduk, Tingkat Pengangguran Terbuka Dan Indeks Pembangunan Manusia Terhadap Tingkat Kemiskinan Di Provinsi Jawa Timur. Eksis: Jurnal Ilmiah Ekonomi Dan Bisnis, 12(2), 129. https://doi.org/10.33087/eksis.v12i2.254
-
Setya Ningrum, S. (2017). Analisis Pengaruh Tingkat Pengangguran Terbuka, Indeks Pembangunan Manusia, Dan Upah Minimum Terhadap Jumlah Penduduk Miskin Di Indonesia Tahun 2011-2015. Jurnal Ekonomi Pembangunan, 15(2), 184–192.
-
Suhandi, N., Putri, E. A. K., & Agnisa, S. (2018). Analisis Pengaruh Jumlah Penduduk terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linear di Kota Palembang. Jurnal Ilmiah Informatika Global, 9(2), 77–82. https://doi.org/10.36982/jig.v9i2.543.
-
Susanto, R., & Pangesti, I. (2019). Pengaruh Tingkat Pendidikan terhadap Kemiskinan di DKI Jakarta. JABE (Journal of Applied Business and Economic), 5(4), 340. https://doi.org/10.30998/jabe.v5i4.4183.
-
Wahyu Azizah, E., & Kusuma, H. (2018). Pengaruh Pendidikan, Pendapatan Perkapita Dan Jumlah Penduduk Terhadap Kemiskinan Di Provinsi Jawa Timur. Jurnal Ilmu Ekonomi, 2, 167–180.
-
Wicaksana, A. (2016). Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Penduduk, Pendidikan dan Pengangguran Terhadap Tingkat Kemiskinan Di Kabupaten Tuban. Https://Medium.Com/, 2(7).
-
Widowati, A. E., Prijanto, W. J., & Destiningsih, R. (2018). Pengaruh Pertumbuhan Ekonomi, Pengangguran, dan Jumlah Penduduk Terhadap Kemiskinan Provinsi Jawa Tengah Tahun 2001-2018. Journal of Economic, 2(1), 95–108.
-
Yunus Erna. (2022). Angka Kemiskinan Salatiga 2021 Naik 5,14%. RMOLJATENG. https://www.rmoljawatengah.id/angka-kemiskinan-salatiga-2021-naik-514.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.