Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Abdi Jurnal Publikasi Jurnal Penelitian Sistem Informasi
Rajin Nahampun
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IMPLEMENTASI PELATIHAN PEMBUATAN WEBSITE UNTUK MENINGKATKAN KOMPETENSI PROFESIONAL SISWA SMKS BINTANG NUSANTARA Norita Sinaga; Sutrisno; Rajin Nahampun
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service activity aims to analyze the effectiveness of website development training in improving the professional competence of SMK Bintang Nusantara students. Rapidly evolving digital technology demands that SMK graduates possess skills relevant to industry needs, particularly in web development. The method used in this activity was training and implementation, encompassing learning HTML, CSS, JavaScript, and modern frameworks, using a hands-on approach. Participants in the community service activity consisted of 23 11th-grade students majoring in Computer and Network Engineering at SMKS Bintang Nusantara. The analysis of the activity showed that the students began to understand how to create an independent portfolio and store it in a GitHub repository. The conclusions of this community service activity indicate that the website development training significantly improved the technical competence and improvisation of SMKS Bintang Nusantara students. Suggestions include integrating similar training into the regular curriculum and expanding the scope of material to include more advanced and up-to-date website technologies.
Penerapan Algoritma Random Forest untuk Prediksi Kelulusan Siswa Smk Al Amanah Tepat Waktu: Studi Kasus Program Studi Teknik Informatika Rajin Nahampun; Muhammad Hafidh Ali Zainal; Vidie Dwi Saputra; Ananda Raffi
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4533

Abstract

On-time graduation is one of the key indicators of academic quality that affects study program accreditation and institutional reputation. Many Informatics Engineering students, however, still complete their studies later than scheduled due to various academic and non-academic factors. This study aims to apply the Random Forest algorithm to build a predictive system that classifies students into “on-time” and “delayed” graduation categories based on academic data such as cumulative grade point average (GPA), number of credits completed per semester, attendance rate, and final project completion status. The research method follows the CRISP-DM framework, covering business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The model was trained using an 80:20 train-test split and evaluated using a confusion matrix along with accuracy, precision, recall, and F1-score metrics. The results show that the Random Forest algorithm achieves a good level of accuracy in classifying student graduation status, with GPA and attendance rate identified as the most influential variables. This model has the potential to be used by study programs as an early-warning system to identify students at risk of delayed graduation so that academic intervention can be carried out sooner.
Co-Authors Ananda Raffi Muhammad Hafidh Ali Zainal Sinaga, Norita SUTRISNO Vidie Dwi Saputra