Article Per Year (5 Year)
p-Index From 2021 - 2026
1.756
P-Index
This Author published in this journals
All Journal Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Satrio Hadi Wijoyo
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Information Technology and Computer Science

 1 
The Vocational High School Student’s Computational Thinking Skills Comparison between Online and Offline Instructional Process in The Computer Network Subject Context Herlambang, Admaja Dwi; Nugraha Kresna Mukti; Satrio Hadi Wijoyo
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92489

Abstract

This study aims to see how high the difference in the average score of computational thinking skills is owned by students who carry out online learning with students who carry out offline learning and how high the significance level of the difference in the average score is. The approach used in this study uses assessment tools to measure the scores of students’ computational thinking skills. Sampling was done using a non-probability sampling technique for the 12th-grade students in computer network subjects of vocational high school. The mechanism used in this study was to provide research questions to each respondent under the learning mechanism, each of which consisted of 15 students. Based on the results of statistical calculations, it was found that the average/mean of the online mechanism group was 13.27, and the offline group was 17.73. In the Mann-Whitney U test, a score of 0.159 was also obtained. Comparison of the Mann-Whitney U test results with the test rules of 0.159 > 0.05. The conclusion is that there is a difference between the scores of the computational thinking skills of students who carry out online and offline learning, but this difference is not significant.
Development Of E-Module In Subject Basic Computer Graphics In Class X – DKV SMK NEGERI 11 Malang To Increase Student Interest In Learning Faradillah Aditya Purnomo; Faizatul Amalia; Satrio Hadi Wijoyo
Journal of Information Technology and Computer Science Vol. 10 No. 2: August 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025102605

Abstract

Learning can run well with an interest in learning for students. Based on this, researchers found problems at SMK NEGERI 11 MALANG. One of the problems encountered was the low interest in learning for class X – DKV students in the Basic Computer Graphics subject. Therefore, the Basic Computer Graphic E-module is here to provide a solution to this problem. The development of this E- module uses the ADDIE method which consists of five stages (analyze, design, development, implementation and evaluation). Data collection was carried out using structured interview techniques, literature studies and filling out questionnaires (pre-E-module and post-E-module). Tests carried out include testing the feasibility of the E-module and testing the increase in student learning interest. Questionnaire calculations were carried out using a Likert scale, with a scale of 1-4. Based on the tests carried out by the E-module, the results of the eligibility percentage were 70% (Eligible) by material experts, 79.16% (Decent) by media experts, 88.3% (Very Feasible) by media eligibility experts and 84.19% (Very Worthy) by users. Furthermore, the percentage of students' interest in learning obtained an increase of 66.65% with a percentage of interest in learning before the E-module of 12.7% (Very Poor) and after using the E-module of 79.35% (Good). So it can be concluded that the E-module can be considered feasible and able to increase student learning interest.
Prediction of On-Time Graduation of Students Using Random Forest Algorithm (Case Study: Faculty of Computer Science, Universitas Brawijaya) Ahnaf, Muhammad Farrel Reginado; Satrio Hadi Wijoyo; Nurul Hidayat
Journal of Information Technology and Computer Science Vol. 10 No. 3: Desember 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025103788

Abstract

The timeliness of student graduation is an important indicator of academic quality and institutional performance. Delayed graduation not only affects university evaluation metrics but also postpones students’ entry into the workforce. This study proposes a predictive model to identify students at risk of delayed graduation at the Faculty of Computer Science, Universitas Brawijaya. A comparative evaluation of three classification algorithms, namely Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN), was conducted within a Knowledge Discovery in Databases (KDD) framework. SMOTE was applied to address class imbalance, while Stratified K-Fold Cross-Validation was used to ensure robust model assessment. Experimental results show that the Random Forest model achieves the best performance, with an accuracy of 73% and an AUC of 0.79, outperforming SVM and KNN. Feature importance analysis further indicates that Grade Point Average, particularly in the third semester, is a more influential predictor of on-time and delayed graduation than credit accumulation. These results demonstrate the potential of the proposed model as an early warning system for proactive academic intervention.
Co-Authors Abdurrahim, Muhammad Imaduddien Admaja Dwi Herlambang Admaja Dwi Herlambang Admaja Dwi Herlambang, Admaja Dwi Ahnaf, Muhammad Farrel Reginado Andi Reza` Perdanakusuma Buce Trias Hanggara Dian Agus Sasmita Dwi Cahya Astriya Nugraha Faizatul Amalia Faradillah Aditya Purnomo Nanda Riska Dewi Nugraha Kresna Mukti NURUL HIDAYAT putra, komang septia krisna Ramadhan Nita, Puja Sa'adah, Nailis