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All Journal TEKNIK INFORMATIKA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Teknoinfo Martabe : Jurnal Pengabdian Kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Pengabdian Masyarakat Bumi Raflesia Santika : Jurnal Ilmiah Sains dan Teknologi Aksara: Jurnal Ilmu Pendidikan Nonformal Jurnal Pengabdian Kepada Masyarakat Abdi Putra
Asril Adi Sunarto
Univeristas Muhammadiyah Sukabumi
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Santika : Jurnal Ilmiah Sains dan Teknologi

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Implementasi Algoritma C4.5 Untuk Prediksi Kelulusan Tepat Waktu: (Studi Kasus: Program Studi Teknik Informatika) Sarah Novia Hermawanti; Asriyanik Asriyanik; Asril Adi Sunarto
SANTIKA is a scientific journal of science and technology Vol. 9 No. 1 (2019): SANTIKA
Publisher : The Faculty of Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jsa.v9i1.552

Abstract

The Informatics Engineering Study Program is one of the Study Programs at the University ofMuhammadiyah Sukabumi which every year the incoming student quota not all students can graduate ontime in accordance with the study period taken so as to result in the accumulation of a number of old studentswho do not graduate according to the graduation period. PHP is a collection of program codes that areadded to HTML which will later be processed in the processor and the results will be displayed in thebrowser as HTML pages. C4.5 algorithm is the result of the development of the ID3 (Iterative Dichotomiser)algorithm which was developed by Quinlan. This algorithm is used to build a decision tree that is easy tounderstand, flexible, and interesting because it can be visualized in the form of images. Based on thisresearch was conducted to create a system using classification techniques that can process large amounts ofdata to find patterns that occur in student data. Data processing is used to predict classes that are not yetknown, namely in this design prediction of student graduation. The classification technique used is decisiontree with the application of C4.5 algorithm. The input used is in the form of attributes from student dataincluding IP (Performance Index) per semester from semester 1 to 7, and BTQ grades in semester 6. Thestudent data is training sample data used in the preparation of decision trees. This test uses training data ofstudents who have graduated from 2015 to 2018. This knowledge can be utilized by the UMMI InformaticsEngineering Study Program as a preventive measure to avoid decreasing student graduation each year
Co-Authors Adi Firmansyah Agung Maulana Agung Prakarsa Alhidayatullah Anggy Pradiftha Junfithrana Asep Budiman Kusdinar Asriyanik . Elnawati Erik Candra Pertala Hartono . Hartono Hartono Iskandar, Yusuf Iwan Rizal Setiawan Jazaul Ikhsan Lastri Yuningsih Nia Kartika Prajoko . Puji Harsanto Sarah Novia Hermawanti Siti Muawamah Robial Tahadjuddin Yudha Surya Bhakti Yuli Noviawan