Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics
Muhammad Halmi Dar
STMIK Mulia Darma
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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

Found 2 Documents
Search

 1 
Decision Support System for Permanent Lecturer Recruitment at STMIK Mulia Darma Using the Simple Additive Weighting (SAW) Method Muhammad Halmi Dar; Deci Irmayani; Elvitrianim Purba; Muhammad Sayuthi; Indra Sidabutar
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

Selecting qualified academic personnel is critical for higher education institutions to maintain academic excellence and accreditation standards. At STMIK Mulia Darma, the recruitment process for permanent lecturers historically faced challenges related to multi-criteria evaluation complexity, administrative delays, and potential subjective bias when handled manually. This study aims to develop and implement a web-based Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method to streamline and objective candidate screening. The evaluation incorporates five key criteria: Educational Background C1, Microteaching Score C2, Publication and Research Record C3, Interview Performance C4, and Expected Salary C5. Through matrix normalization and weighted aggregation, the system calculates final preference scores to rank applicants. In empirical trials, Candidate A3 achieved the highest preference score V3 = 0.940, demonstrating the method's effectiveness in balancing academic competencies against cost parameters. System testing via Black-Box Testing yielded a 100% functional success rate, while algorithmic accuracy verification confirmed 100% alignment between automated system outputs and manual calculations. Ultimately, the developed system effectively minimizes subjective bias, enhances decision-making efficiency, and provides a reliable framework for faculty recruitment at STMIK Mulia Darma.
Pelatihan Koding dan Kecerdasan Artifisial (KKA) berbasis Scaffolded Approach bagi Guru SMA/SMK  di Kabupaten Labuhanbatu Utara Muhammad Halmi Dar; Denni M. Rajagukguk; Muhammad Iqbal Panjaitan
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 02 (2026): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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

Abstract

The gap in technical and pedagogical competence among Information and Communication Technology teachers in regional areas in implementing the Coding and Artificial Intelligence curriculum posed a major challenge to supporting the digital transformation of education. This community service activity aimed to enhance the competence and self-efficacy of 20 secondary school teachers in Labuhanbatu Utara Regency through training based on the Technological Pedagogical Content Knowledge framework. The training was conducted over five days using a scaffolded approach that included learning management system orientation, plugged and unplugged hands-on practice, and contextual instructional design. The evaluation results demonstrated a significant improvement in participants' understanding, marked by an increase in the average score from 45.10 to 85.10, achieving a normalized gain average of 0.73, which fell into the high-effectiveness category. All participants successfully completed their portfolios and designed ready-to-use teaching modules. This scaffolded training proved effective in addressing the digital competence limitations of regional educators and strengthening their readiness for sustainable curriculum implementation.
Co-Authors Deci Irmayani Denni M. Rajagukguk Elvitrianim Purba Indra Sidabutar Muhammad Iqbal Panjaitan Muhammad Sayuthi