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All Journal JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI BAREKENG: Jurnal Ilmu Matematika dan Terapan Rangkiang Mathematics Journal Indonesian Journal of Statistics and Its Applications
Almuhayar, Mawanda
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Physics Transportation Other

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Journal : Indonesian Journal of Statistics and Its Applications

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Ordinal Logistic Regression Model of Micro, Small, and Medium-Sized Enterprises Income: A Case Study of Micro, Small and Medium-Sized Enterprises in Surabaya Alifah, Amalia Nur; Edina, Almira Ivah; Almuhayar, Mawanda
Indonesian Journal of Statistics and Applications Vol 8 No 2 (2024)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v8i2p143-154

Abstract

Micro, Small, and Medium Enterprises (MSMEs) is a business sector that is able to make a significant contribution to economic recovery in Indonesia. In Surabaya, there are many MSMEs with various fields, both food and non-food sectors which include services, trade, etc. MSMEs actually have great potential to boost the economic growth of the people of Surabaya. Especially during the COVID-19 pandemic, MSMEs owners must be able to strategize how their income can be stable or even bigger. Therefore, it is very important to know what factors can boost MSMEs income in Surabaya. In this study, it will be examined what factors can affect the income of MSMEs in Surabaya. The method used in this study is Ordinal Logistic Regression which aims to determine which independent variables or factors affect the dependent variable which in this case is MSMEs income. Based on the results of the analysis, it can be seen that the variables that affect MSMEs income are MSMEs Location, MSME Activities, and MSME Outreach. Keywords: ordinal logistic regression, MSMEs, income.
Co-Authors Alifah, Amalia Nur Devianto, Dodi Dian Milvita Edina, Almira Ivah Fiqi Diyona, Fiqi Fitri, Fadhilah Ketrin, Melin Wanike Mousa, Almahdi Nisa, Alvi Khairin Ramacos Fardela Ramadhani, Nia Rasyada, Latifah Aulia Ridho Saputra, Ridho