Article Per Year (5 Year)
p-Index From 2020 - 2025
1.286
P-Index
This Author published in this journals
All Journal Teika Syntax Idea Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Yusran Timur Samuel
Univeristas Advent Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Syntax Idea

 1 
Analisis Pengaruh Nilai Evaluasi Dosen Terhadap Kelulusan Mata Kuliah Mahasiswa Universitas Advent Indonesia dengan Decision Tree Yusran Tarihoran; Timotius Ginting
Syntax Idea 1131-1137
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v6i3.3088

Abstract

Analysis of course completion at Universitas Advent Indonesia (UNAI) is an important thing to do. By knowing the course completion of students early, UNAI can take necessary actions to improve students' course completion. This study reveals the influence of lecturer evaluation scores on student course completion in the Web Programming 1, Web Programming 2, and Programming Algorithm 1 courses during the academic years 2020-2021 to 2022-2023. The purpose of this study is to see the influence of lecturer evaluation scores on student course completion in these courses and which competencies most affect student scores. The method used in this study is data mining with the C4.5 decision tree algorithm. The results of this study show that out of 5 competencies tested, 3 competencies affect student course completion. This study uses a confusion matrix evaluation model that produces a prediction accuracy of 80%.
Co-Authors Abdul Fatah Nordin Adrian R. Lemuel Antonius Maryo Manurung Bern Jonathan Boston Pahala Siahaan Choresy Michael G. Butar-butar Chrystle Beatrix Allbright Nahuway Elmor Benedict Wagiu Frengky Simbolon Heima Sitorus Henry Pandia Hiras Parasian Doloksaribu Ira Worang Josephine Naibaho Kemala DEwi Kevin Jeremy Manurip Marlinda Siahaan Raja Simarmata Raymond Maulany Riza Muhida Simanjuntak, Wahyu Iskandar Sintaria Sembiring Suhaimi B Mohd Zaid Sumartono, Katherine Febrianty Timotius Ginting Yank Nekmese K.