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Radityo Adi Nugroho
FMIPA, Universitas Lambung Mangkurat
Computer Science & IT

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Klasifikasi Kelulusan Mahasiswa Menggunakan Algoritma Learning Vector Quantization Dwi Kartini; Radityo Adi Nugroho; Mohammad Reza Faisal
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 3 No 2 (2017): POSITIF - Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v3i2.420

Abstract

Computer Science Study Program FMIPA ULM graduates dozens of undergraduate students every year. One of the assessment criteria for the accreditation of the study program is the assessment of the duration of the study of students who graduated on time. In this research will be done classification of graduation based on the status of student study year = timely and study length 4.5 years = not on time. Classification of students passing graduation based on IP semester I, Semester II, Semester III and Semester IV that have passed. If a system can classify students' graduation as a predictor of the duration of a student study, it is expected to be a recommendation for the Academic Advisors lecturers giving advice to students who are detected in the timely graduation possibilities so that Drop Out (DO) prevention measures may be taken earlier. Accuracy results are in accordance with the test data of 70% by using α = 0.5, decrement alfa 0.35 and maxepoch = 500.
Co-Authors Dwi Kartini, Dwi Muhammad Reza Faisal, Muhammad Reza