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All Journal Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics
Kristian Siregar
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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Journal : pascal journal of computer science and informatics

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A SAW-Based Decision Support System for Selecting Final Project Topics in the Informatics Management Department at STMIK Mulia Darma Kristian Siregar; Edward Robinson Siagian; Kennedi Tampubolon
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 01 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

Selection of Final Project Topics is a crucial stage in the academic process, as it significantly affects the smoothness of project preparation and completion. However, the determination of final project topics often remains subjective and does not systematically consider students’ academic abilities. This study aims to design and develop a Decision Support System for selecting final project topics for students in the Informatics Management Department using the Simple Additive Weighting (SAW) method. The SAW method is employed to evaluate and rank alternative topics based on several criteria, including supporting course grades, student interest, programming skills, system analysis and design capabilities, and the availability of supervising lecturers. The results indicate that the SAW method can provide objective and transparent recommendations for final project topics. Based on the calculation, alternative A4 achieved the highest preference score of 0.962, making it the most recommended final project topic. Therefore, the developed system is expected to assist both students and academic staff in making more effective and structured decisions regarding final project topic selection.
Decision Support System for Selecting Business and Industrial Partners (DUDI) for Industrial Internship Placement Using the Simple Additive Weighting (SAW) Method at SMK Negeri 1 Barus Utara Kristian Siregar; Riswan Limbong; RL. Harmadi Tamba; Monang Juanda Tua Sihombing
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

Vocational High Schools (SMKs) play a strategic role in producing graduates who are competent, skilled, and prepared to meet the demands of the industrial workforce. One of the core programs designed to achieve this objective is the Industrial Internship Program (Praktik Kerja Industri/Prakerin), which enables students to apply the theoretical knowledge acquired in the classroom to real workplace environments. However, selecting appropriate Business and Industrial Partners (Dunia Usaha dan Dunia Industri—DUDI) remains a challenging task due to the involvement of multiple evaluation criteria, including curriculum compatibility, industrial facilities, accessibility, accommodation costs, and partner reputation. At SMK Negeri 1 Barus Utara, the selection process is still conducted manually, making it susceptible to subjectivity and inconsistency. This study proposes a Decision Support System (DSS) employing the Simple Additive Weighting (SAW) method to objectively rank potential DUDI partners based on predefined evaluation criteria and their corresponding weights. The research adopts a quantitative approach within the Multi-Criteria Decision Making (MCDM) framework. Five assessment criteria were established through interviews with internship coordinators, and five DUDI partners were evaluated as alternatives. The findings indicate that PT Sibolga Citra Komputindo achieved the highest preference score (0.7700), making it the most suitable internship partner. The implementation of the SAW method demonstrates its effectiveness in producing objective, transparent, and measurable recommendations, thereby improving the quality of internship management and supporting informed decision-making in vocational education.
Co-Authors Abdul Sani Sembiring Edward Robinson Siagian Elvitrianim Purba Kennedi Tampubolon Manalu, Mamed Rofendi Monang Juanda Tua Sihombing Riswan Limbong RL Harmadi Tamba RL. Harmadi Tamba