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Siswanto Siswanto
Universitas Negeri Yogyakarta
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Journal : JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI

 1 
Comparative Analysis of Ridge, LASSO, and Elastic Net Regularization Approaches in Handling Multicollinearity for Infant Mortality Data in South Sulawesi Arief Rahman Nur; Andi Kresna Jaya; Siswanto Siswanto
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.31632

Abstract

Infant mortality rate is a crucial indicator for assessing the health and infant care quality in a region. In the effort to reduce infant mortality rates, regression analysis serves as a tool to identify influential factors. However, regression analysis often encounters the challenge of multicollinearity, which involves high correlation among predictor variables. To address this issue, various regularization techniques can be applied, such as ridge regression, least absolute shrinkage and selection operator (LASSO), and elastic net. Ridge regression aims to control coefficient variance, while LASSO directs some coefficients to zero, functioning as variable selection. Elastic net combines the strengths of both methods by merging ridge and LASSO regularization. The objective of this research is to evaluate the performance of ridge regression, elastic net, and LASSO methods in handling multicollinearity issues, utilizing infant mortality rate data in South Sulawesi Province. The results indicate that the elastic net method outperforms both Ridge and LASSO methods. The best-performing model is obtained through elastic net with a coefficient of determination value of 60.81%, whereas ridge and LASSO methods yield coefficient of determination values of 54.11% and 58.18%, respectively. This demonstrates that the application of the elastic net method is capable of producing more accurate results in modeling the variables within the analysis of infant mortality rate data compared to other methods.
Co-Authors Ade Mustika Martin Ade Novitasari Agustinus Budi Santoso Ahmad Muhlisin Alfiana Antoh Alfiani Purnama Dewi Dewi Ali Muhson Aliyah Rasyid Baswedan Amanda Tifani Anak Agung Istri Sri Wiadnyani Andi Kresna Jaya Anggit Permana Ani Widayati Anis Aprilia Arief Rahman Nur Arif Rahman Hakim Asriyadin Asriyadin Azwar Wardiansyah Badrun Kartowagiran Bambang Setyo Panulisan Chellyana Kusuma Wardani Danang Danang Dedy Khaerudin Dendy Kurniawan Dian Normalitasari Purnama Diana Dayaningsih Dita Asri Maylani Diva Natasha Putri Donny Lukfiansah Dwi Aryanti Eka Ary Wibawa Eka Satria Wibawa Erni Maulidiawati Esti Utarti F Fajarudin Filma Anggraini Galuh Oktaviani Greget Widhiati Heni Susilowati Heru Khoeruddin Indah Yuliana Ismani Ismani Jordan Napitupulu Laksmita Rosa Lutfi Anggraini M Murni M. Abdul Rohman Kartanagara Maya Utami Dewi Maya Utami Dewi Merinda Noorma Novida Siregar‬ Moch. Malik Al Firdaus Mochammad Imron Awalludin Muhamad Djazuli Nadya Tri Yuwinda Naldia Defa Saputra Ngadirin Setiawan Nia Puspita Dewi Niken Dwi Rahayu Niken Purnamasari Nirwani Mintanawati Nurman Efrinson Tamba Puspita Aryani Rahma Sangkut Ramaita Ramaita Riko Firmansyah Ristiana Dwi Lestari Rizka Tri Alinse Rizqi Ilyasa Aghni Rosidah Rosidah Sattya Arimurti Setio Nugroho Shazia Malik SITI KHOLIFAH Sondang Suriati Sri Haryati Sri Wahyuni Su-Chuan Liu Subali Subali Sukanti Sukanti Sukarno Sukarno Sumarsih Sumarsih Sutikno, Sigit Sutoyo Sutoyo Suyanto Suyanto Tantri Raras Ayuningtyas Tasya Fajar Putri Tita Pratama Zebua Toni Wijanarko Adi Putra Unang Achlison Untung Bijaksana Virda Mar’atus Sholichah Wartini Wartini Widya Aryani Wiratno Wiratno Yolla Sukma Handayani Yudhiyati, Ratna Yulu Yanti Sitompul Yundy Hafizrianda YUNI ASTUTI Yusiran Yusiran, Yusiran Zufi Anidzar Arbani