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All Journal Jurnal Gaussian Jurnal Sains Matematika dan Statistika Jurnal DIDIKA: Wahana Ilmiah Pendidikan Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan EDUMATIC: Jurnal Pendidikan Informatika Variance : Journal of Statistics and Its Applications Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
Siti Hariati Hastuti
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Gaussian

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KAJIAN SIMULASI PERBANDINGAN METODE RIDGE REGRESSION DAN ADJUSTED RIDGE REGRESSION UNTUK PENANGANAN MULTIKOLINEARITAS Nisa, Choirun; Hastuti, Siti Hariati
Jurnal Gaussian Vol 12, No 3 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.3.330-339

Abstract

Regression analysis is widely used in research. However, often in using this analysis the assumption of non-multicollinearity is not fulfilled. Handling of these problems can be done using Ridge Regression (RR) and Adjusted Ridge Regression (AR) methods. This study aims to compare the performance of RR and AR in handling multicollinearity among explanatory variables in multiple regression analysis using data simulation. The simulated data contain various multicollinearity level (ρ = 0.6, 0.8, 0.9) with of each different sample size (n = 20, 50, 100). The performance of the two methods are compared using Mean Square Errors (MSE). The result shows that the AR method and the RR method produce a smaller MSE value when the sample size used is larger. The MSE value generated by the AR method tends to be smaller than the RR method which can be seen from each data repetition used. It shows that the AR method is relatively more effective than the RR method for dealing with multicollinearity problems.
Co-Authors Abdullah, Abdullah Adini, Ertina Septia Amli, Istia Datul Apriska Ayu Saputri Askariyah, Askariyah Ayu Septiani Ayu Septiani, Ayu Ayundasari, Dita Septiana Azizah, Efida Basirun, Basirun Chintyana, Alissa CHOIRUN NISA Deviani Deviani Febiana, Izu Izatul Fitri, Ika Julia Ghazali, Muhammad Hardani, Bq Ika Hariani, Fitri Hauliati, Siti Hendrayani, Hendrayani Herniyati Herniyati, Herniyati Husnaeni, Ririn Robiatul Husnul Khotimah Jatiatul Muhsinah Kartanah, Kartanah Kertanah, Kertanah Lasmiani, Bq Tia Ayu Muhammad Gazali Nurmayanti, Wiwit Pura Ristu Haiban Hirzi, Ristu Rodi Satriawan Sastriana, Hanipar Mahyulis Sholihah, Imroatun Umam Hidayaturrohman Wati, Rana Ambarwati Wiwit Pura Nurmayanti Wulandari, Baiq Yuliandita