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Universitas Kristen Satya Wacana
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Data Mining for Decision Making System Determining Web-Based Class Promotion (Case Study: SMK Tarunatama Getasan) Yonsi Rendra Hanggawan; Suprihadi Suprihadi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6042

Abstract

In this study we want to make an application to predict student graduation, where with the existence of We hope that this application will make it easier and there will be transparency in the graduation system. The method used is to use the C4.5 algorithm which is implemented in the form of WEB, where the algorithm will be processed in the form of PHP. The result of the application made is whether the student passed or not.
Co-Authors Agung Tri Utomo Agustinus Fritz Wijaya Alliong Kurniawan Anthonio Stefanus Arnoldus, Arnoldus Billy Gerardhy Lainsamputty Birmanti Setia Utami Dikky Wahyudi Elyan Mesakh Kowi Fransiskus Ariyanto Gowell, Kent Hindarto, Jehosaphat Adelar Jonathan, Ricky Kawi, R. Gibranto Kores Enrrique Igglacious Bonsapia Kurniawan, Alliong Leonardo Ade Pradana Putra Lina Sinatra Wijaya Narwastu Jati Grasias Nikolaus Triwindi Arvianto Nugroho, Ardra Maulana Adwitiya Pradana Putra, Leonardo Ade Prasetyo, Landhung Budhi Priyadi, Jonathan Mario Dwi Putra, Dewa Asmara Radius Tanone Rama Aufadha Risqullah Ramos Somya Rendra Bagus Setiawan Richard Gordon Mayopu Rini Kartika Hudiono Rudy Latuperissa Triwindi Arvianto, Nikolaus Utomo, Alim Budhi Wahyudi, Dikky Yehezkiel Adi Surya Pratama Yonsi Rendra Hanggawan Zega, Theoputra Berkat