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All Journal PROSIDING SEMINAR NASIONAL Jurnal Statistika Universitas Muhammadiyah Semarang Value Added : Majalah Ekonomi dan Bisnis The Journal of Educational Development Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Square : Journal of Mathematics and Mathematics Education Jurnal Litbang Edusaintech Parameter: Journal of Statistics Prosiding Seminar Nasional Unimus Jurnal Meteorologi dan Geofisika
Rochdi Wasono
Universitas Muhammadiyah Semarang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Nursing Physics Public Health Social Sciences

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Pemodelan Tingkat Kemiskinan di Papua Barat dengan Pendekatan Binary Logistic Regression Aini, Anissa Nur; Octario Ashar, Andika Udistiyan; Lestari, Talia Indah; Nur, Indah Manfaati; Wasono, Rochdi
Square : Journal of Mathematics and Mathematics Education Vol 5, No 2 (2023)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2023.5.2.17169

Abstract

Binary logistic regression model is a regression model used to predict the probability of a specific event occurring or not occurring based on predictor variable. In this model, the response variable is binary, meaning it has only two possible categories: a “failure”category and a “success” category. West Papua is included in the list of  seven provinces that are the main focus of efforts to combat extreme poverty. Therefore, it is necessary to monitor the factors that need to be considered in order to prevent an increase in the poverty rate. To identify the factors influencing the poverty rate in Papua Barat, the research method used is binary logistic regression modeling, which assesses the influence of independent variables on the poverty rate in West Papua. So the results obtained from this study are from three variables, namely the open unemployment rate, average per capita expenditure, and gross regional domestic product have a significant effect on the poverty rate in West Papua with a classification accuracy of 100%.
Co-Authors Aini, Anissa Nur Alwan Fadlurohman Andayani Nurfaizah Anissatush Sholiha Arini Rizky Wahyuningtyas Aulia Fadhli Boer Chendy Nofiantika Rosulya Putri Devy Noviani Dhevi Ratna Fitriani Dominikus Leki Sogen Evi Ardiati Sazaen Fauzi, Fatkhurokhman Gabriella Hilary Wenur Husna, Rizqa El Iis Istiqomah Iis Widya Harmoko Imaroh Izzatun Nisa Indah Manfaati Nur Iqbal Kharisudin Isna Nur Azizah Iswahyudi Joko Suprayitno Joko Sutarto Juwita Rahayu Karim, Abdul Kurniawati, Eka Lestari, Talia Indah M. Al Haris Millenia Winadya Putri Moh Yamin Darsyah Moh. Yamin Darsyah Monica Firda Agustina Nila Amelinda Putri Octario Ashar, Andika Udistiyan Prizka Rismawati Arum Rahman Hidayat Rena Muntafiah Samsudi - Samsudi -, Samsudi Siti Hajar Rahmawati Soesanto - Soesanto -, Soesanto Tiani Wahyu Utami Ujiati Suci Rahayu Wahyu Putri Pratiwii