Article Per Year (5 Year)
p-Index From 2021 - 2026
2.286
P-Index
This Author published in this journals
All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor JURNAL MEDIA INFORMATIKA BUDIDARMA DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Indonesian Journal of electronics, electromedical engineering, and medical informatics Abdimasku : Jurnal Pengabdian Masyarakat International Journal of Multidisciplinary: Applied Business and Education Research BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Annisa Puspa Kirana
Politeknik Negeri Malang
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Ilmiah Kursor

 1 
STUDENT ACADEMIC PERFORMANCE PREDICTION FRAMEWORK WITH FEATURE SELECTION AND IMBALANCED DATA HANDLING Wijayaningrum, Vivi Nur; Kirana, Annisa Puspa; Putri, Ika Kusumaning
Jurnal Ilmiah Kursor Vol. 12 No. 3 (2024)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v12i3.356

Abstract

Various factors cause the low scores of students in practicum courses. If these factors cannot be identified, more and more students will drop out of the study due to low scores, especially Vocational College students who do not have the opportunity to improve their scores in the short semester. Students with the potential to drop out must be identified as soon as possible because the number of dropouts can have an impact on a university's accreditation value. In this study, the prediction of student academic performance was carried out using a framework consisting of imbalanced data handling using SMOTE and feature selection using Random Forest, as well as the application of Multi-Layer Perceptron (MLP) for the formation of a classification model. The MLP architecture consists of some neurons in the input layer, two hidden layers with five neurons each, and two neurons in the output layer. SMOTE succeeded in selecting ten significant parameters from 22 initial parameters, which produced the most accurate predictions. According to the test results, the proposed framework offers the best accuracy of 0.8889 and an F1-Score of 0.9032. These results prove that the proposed framework can be used as an alternative for the Department to take action to prevent students from dropping out.
Co-Authors Adhitya Bhawiyuga Adhitya Bhawiyuga, Adhitya Affandi, Luqman Amrozi, Aris Nur Arie Rachmad Syulistyo Arwin Datumaya Wahyudi Sumari Astiningrum, Mungki Candra Bella Vista Dany Primanita Kartikasari Dhebys Suryani Hormansyah, Dhebys Suryani Faiz Afiani Rohma, Faiz Afiani Ida Ayu Putu Sri Widnyani Lailan Syaufina Lestari, Ela Widya Luqman Affandi Mamluatul Hani’ah Moch Zawaruddin Abdullah Pramana Yoga Saputra Prasetyo, Gunawan Budi Putri, Ika Kusumaning Rahmad, Cahya Rokhimatul Wakhidah Rudy Ariyanto Santoso, Bagus Jati Satria Adi Kharisma Septian Enggar Sukmana Shoumi, Milyun Ni’ma Sitanggang, Imas S. Sofyan Noor Arief Sofyan Noor Arief Syauqi, A’la Vivi Nur Wijayaningrum