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All Journal Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics
Deci Irmayani
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

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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

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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.
Pengenalan Aplikasi AI Berbasis Web untuk Meningkatkan Minat Belajar Siswa SMA Prayatna terhadap Teknologi Informasi Indra Sidabutar; Deci Irmayani; Taronisokhi Zebua
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 02 (2026): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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Abstract

The rapid development of Artificial Intelligence (AI) has significantly influenced various aspects of human life, particularly in the field of education. One of the most widely used AI technologies today is ChatGPT, a web-based application capable of assisting users in obtaining information, solving problems, and supporting learning activities through natural language interaction. However, the utilization of ChatGPT as a learning medium among high school students remains limited because many students have not yet understood how to use AI effectively, ethically, and responsibly. Therefore, this Community Service Program aimed to introduce the use of web-based Artificial Intelligence through a case study of ChatGPT as a learning co-pilot in designing a Facebook-inspired Login Page and Home Page using HTML, CSS, and JavaScript. The implementation method consisted of preparation, instructional sessions, demonstrations, hands-on practice, discussions, and evaluations through pre-tests and post-tests. The results of the program indicated that participants were able to understand the basic concepts of Artificial Intelligence, recognize the role of ChatGPT as a learning assistant, develop effective prompts, and create simple web interfaces with AI assistance. Furthermore, the evaluation results demonstrated an improvement in participants' understanding, as reflected by higher average post-test scores compared to pre-test scores. The activity also increased students' interest in information technology and enhanced their awareness that Artificial Intelligence should be utilized as a learning support tool rather than a replacement for human thinking. Overall, this Community Service Program contributed positively to improving students' digital literacy and promoting the responsible use of Artificial Intelligence in educational environments.).
Co-Authors Elvitrianim Purba Indra Sidabutar Muhammad Halmi Dar Muhammad Sayuthi Taronisokhi Zebua