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All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal MIPA JURNAL LPPM BIDANG SAINS DAN TEKNOLOGI Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Operations Research: International Conference Series
Yohanes Langi
Universitas Sam Ratulangi
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Physics

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Comparison of Partial Least Squares Regression and Principal Component Regression for Overcoming Multicollinearity in Human Development Index Model Samosir, Ravika Dewi; Salaki, Deiby Tineke; Langi, Yohanes
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.126

Abstract

One of the assumptions in ordinary least squares (OLS) in estimating regression parameter is lack of multicollinearity. If the multicollinearity exists, Partial Least Square (PLS) and Principal Component Regression (PCR) can be used as alternative approaches to solve the problem. This research intends to compare those methods in modeling factors that influence the Human Development Index (HDI) of North Sumatra Province in 2019 obtained from the Central Bureau of Statistics. The result indicates that the PLS outperforms the PCR in term of  the coefficient of determination and squared error
Penerapan Metode Profile Matching Pada Aplikasi Sistem Pendukung Keputusan Berbasis Website Untuk Penilaian Kinerja Dosen Alfonsius, Eric; Pangau, Gloria; Langi, Yohanes
Bianglala Informatika Vol 13, No 2 (2025): Bianglala Informatika 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v13i2.25388

Abstract

Penilaian kinerja dosen merupakan salah satu komponen penting dalam menjaga kualitas pendidikan di perguruan tinggi. Penelitian ini bertujuan untuk membuat sebuah sistem pendukung keputusan berbasis website dengan mengimplementasikan metode Profile Matching untuk penilaian kinerja dosen di Jurusan Matematika UNSRAT. Metode profile matching dipilih karena kemampuannya dalam membandingkan kompetensi dosen dengan profil ideal yang diharapkan berdasarkan beberapa kriteria yaitu pengajaran, penelitian, pengabdian, penunjang karir dosen, dan pelengkap. Pengujian sistem ini menggunakan metode blackbox dengan hasilnya menunjukkan tingkat akurasi sebesar 100%. Implementasi sistem ini diharapkan dapat membantu pimpinan jurusan Matematika UNSRAT terkait evaluasi kinerja dosen secara efektif.
Co-Authors Alfonsius, Eric Altien Rindengan Arifin, Leony Sisilia Chriestie Montolalu, Chriestie Deiby T Salaki Djini Tamudia Djoni Hatidja Friscilia Kahuweka Hanny Komalig Hari, Noivia Cyta Ivenly Lombone Jantje Prang, Jantje John Kekenusa, John Julia Titaley Kezia Tumilaar, Kezia Komaliq, Hanny Luther Latumakulita Marline Paendong Marni Sumarno, Marni Melisa Matahari, Melisa Melky Sepang, Melky Mokorimban, Filsa Eugeni Mongi, Charles Efraim NELSON NAINGGOLAN Pangau, Gloria Pangkey, Ranni Paputungan, Ninda Pulukadang, Mohamad Iqbal Rindengan, Altien Jonathan Samosir, Ravika Dewi Sihombing, Bonita Loyse Sitty Nurjana, Sitty Sri Mamonto, Sri Tampil, Yumira Tumangken, Eunike Eva Jelita