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Hari Wijayanto
Department Of Statistics And Data Science, School Of Data Science, Mathematics, And Informatics, IPB University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : comtech computer mathematics and engineering applications

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Prediction of Undergraduate Student’s Study Completion Status Using MissForest Imputation in Random Forest and XGBoost Models Intan Nirmala; Hari Wijayanto; Khairil Anwar Notodiputro
ComTech: Computer, Mathematics and Engineering Applications Vol. 13 No. 1 (2022): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v13i1.7388

Abstract

The number of higher education graduates in Indonesia is calculated based on their completion status. However, many undergraduate students have reached the maximum length of study, but their completion status is unknown. This condition becomes a problem in calculating the actual number of graduates as it is used as an indicator of higher education evaluation and other policy references. Therefore, the unknown completion status of the students who have reached the maximum length of study must be predicted. The research compared the performance of Random Forest and Extreme Gradient Boosting (XGBoost) classification models in predicting the unknown completion status. The research used a dataset containing 13.377 undergraduate students’ profiles from the Higher Education Database (PDDikti), Ministry of Education, Culture, Research, and Technology. The dataset was incomplete, and the proportion of missing data was 20,9% of the total data. Because missing data might lead to prediction bias, the research also used MissForest imputation to overcome the missing data in the classification modelling and compared it to Mean/Mode and Median/Mode imputation. The results show that MissForest outperforms the other two imputations in both classifiers but requires the longest computation time. Furthermore, the XGBoost model with MissForest is significantly superior to the Random Forest model with MissForest. Hence, the best model chosen to predict the completion status is XGBoost with MissForest imputation.
Co-Authors . Aunuddin . Barizi . Gunawan Aan Kardiana Afnan, Irsyifa Mayzela Agus Heru Darjono Agus M Soleh Agus M. Sholeh Agus Mohamad Soleh Ahmad Syauqi Aji Hamim Wigena Akhmad Fauzi Aldi Cahyanugroho Alim Setiawan Slamet Anadra, Rahmi Anang Kurnia Anas Miftah Fauzi Andres Purmalino Anggraini Sukmawati Anindia Nufitasari Aqmar, Nurzatil Arief Hendarto Arif Handoyo Marsuhandi Aris Purwanto Aruddy Aruddy ASEP SAEFUDDIN Astridina, Astridina Aunuddin Aunuddin Ayunda Pratiwi Baba Barus Bagus Sartono Bambang Hendro Trisasongko Barizi . Basita G. Sugihen Bertho Tantular Boedi Tjahjono Budi Susetyo Cici Suhaeni Cici Suhaeni Cut Zaraswati DAHRUL SYAH Dede Dirgahayu Domiri Dedi Budiman Hakim Denanda Aufadlan Tsaqif Devi Andrian Dyah R Panuju Dyah R. Panuju Dyah R. Panuju Edi Abdurrachman Eko S. Pribadi Erfiani Erfiani Erliza Noor Fachry Abda El Rahman Fani Fahira Farit M Afendi Farit Mochamad Afendi Farly Shabahul Khairi fatimah Fatimah Femmy Diwidian Fitria Hasanah Fitrianto, Anwar H S, Rahmat Hefni Effendi Heny K Daryanto Heriansyah Putra Hikmah, Zetil Hwan-Seung Yong I K Marla Lusda I Made Sumertajaya I Nyoman Jaya Wistara IBNUL QAYIM Ilma, Meisyatul Ina Widayanty Indah Dwi Pratama Indahwati Indahwati Indahwati Inna Firindra Fatati Intan Nirmala Irzaman, Irzaman Istiqlaliyah Muflikhati Itasia Dina Sulvianti Jajah K. Wagiono Jayawarsa, A.A. Ketut Khairil Anwar Notodiputro Kristuisno Martsuyanto Kapiluka Kurnia Suci Indraningsih Kusman Sadik La Ode Abdul Rahman La Ode Abdul Rahman Laily Nissa Atul Mualifah Leny Maryesa Lilik Noor Yuliati Lina Karlinasari Luvy Mayanda M. Syamsul Maarif Mahmud A. Raimadoya Mahmud A. Raimadoya Masrukin Masrukin Maulina Lamuse Merry Sabed Muhammad Nur Aidi Mulianto Raharjo Musa Hubeis Nunung Nurjanah Nurrahman, Fathu Oktaviyani Daswati Panca Wiputra Pang S. Asngari Pannu, Abdullah Prabowo Tjitrpranoto Rachma Venita Ramadhanis, Zainab Riana Riskinandini Rizal Bakri Rizky Nurkhaerani Rysda Rysda Sachnaz Desta Oktarina Siti Hafsah Sri Kustiara Sutoro Sutoro Thooriq Ghaith Ujang Sumarwan Utami Dyah Syafitri Utami, Anisa Dwi Widiananda Putri Hutami Yandhika Hary Wibowo Yarah, Helena Ramadhini Yenni Angraini Yonny Koesmaryono Yuli Sukmawati Yuni Suci Kurniawati Zaenal, Mohamad Solehudin Zilrahmi, Zilrahmi Zuhdiyah Izzatun Nisa'