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All Journal Ilmu dan Budaya Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Riset Informatika Jurnal Teknologi Dirgantara JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) Jurnal Teknik Informatika C.I.T. Medicom Jurnal Ipteks Terapan : research of applied science and education
Iskandar Fitri
Universitas Nasional
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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

 1 
Comparison of the feature selection algorithm in educational data mining Agung Triayudi; Iskandar Fitri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 6: December 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i6.21594

Abstract

Student academic accomplishment is the foremost focus of every educational institution. In developing student achievement in educational institutions, the researchers finally created a new research area, namely educational data mining (EDM). How the Feature Selection algorithm works is by removing unrelated data from educational datasets; therefore, this algorithm can improve the classification performance managed in EDM techniques. This research presents an analysis of the performance of the Feature Selection (FS) algorithm from the student dataset. The results received from other FS algorithms and classifiers will help other researchers to gain some best combination regarding Feature Selection algorithms and the classification. Selecting features that are relevant for student forecast models is a sensitive problem to stakeholders in education because they must make decisions based on the results of the prediction models. For the future, our paper seeks to play a decisive part while developing quality concerning education, as well as guiding different researchers in conducting educational interventions.
A new agglomerative hierarchical clustering to model student activity in online learning Agung Triayudi; Iskandar Fitri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.9425

Abstract

In this paper, a new technique of agglomerative hierarchical clustering (AHC), which is known as SLG (single linkage dissimilarity increment distribution, global cumulative score standard), can work well in analyzing students' activity in online learning as evidenced by obtaining the highest score in testing the validity index of cophenetic correlation coefficient (CPCC) ie 0.9237, 0.9015, 0.9967, 0.8853, 0.9875 of the five datasets compared with conventional agglomerative hierarchical clustering methods.
Co-Authors Aditya Nuryudha Iriandi Agung Triayudi Agus Gunaryati Agus Iskandar Ahmad Khuzaifi Ahmad Muslih Mardia Albaar Rubhasy Alhadi Alhadi Andri Aningsih Andrianingsih Anggun Wibowo Ani Rahmawati Aris Gunaryarti Aris Gunaryati Ariwirawan Djali Atalya Kurnia Sari Bagas Apriandadwi Putra Bayu Setyo Prayogi Ben Rahman Budi Tri Utomo Budianto Budianto Chairil Rohadi Danang Aji Pangestu Denis Taslim Denny Hidayatullah Deny Hidayatullah Deny Hidayatullah Dicky Prasetyo Eky Pambudi Syiamtoni Endah Tri Esti Handayani Eri Mardiani Fahmi Apriliansyah Fauzan Muhammad Fauziah Fauziah Fhizyel Nazareta Gabbi Rinzani Gio Fandy H Nainggolan Hasbulloh Hasbulloh Hendy Dwi Haryoyudhanto Henry Prasetyo Utomo Ilham Wahyudi Siadi Iman Cahyadi Ira Diana Sholihati Kresno Wibowo Kurniadin Nehe Leony Mayank Andiny Mikhael Kristian Mikhael Kristian Mike Mochammad Arya Darmawan Muhamad Alfaiz Muhamad Sopiyan Muhammad Faiz Syafii Muhammad Rafiq Zayana Muhammad Raihan Azis Muhammad Zulfi Rahmanzi Muklis Haryono Novi Dian Nathasia Nur Hayati Nurhayati Nurhayati Nurhazmi Hawari Oka Saputra Rafif Ramadhan Al Yarda Richard Ronaldo Marbun Rima Tamara Aldisa Rini Nuraini Sari Ningsih Sumarhadi Sumarhadi Supriyanto Supriyanto Suryadi Suryadi Syamsun Nahar Abdullah Teuku Feraldy Ramadhani Tri Oktafi Sidqi Ucuk Darusalam Willi Akbar Satria Winarsih Winarsih Wisnu Andika Putra Yoga Furqaansyah Yolanda Nur Oktavia Yudhi Setiawan