Published: 2023-12-30
Decision Support Systems for Career Recommendations for Graduates in Islamic Broadcasting Communication Studies Using ANP and TOPSIS Methods
DOI: 10.35870/ijsecs.v3i3.1914
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Abstract
The insufficient number of alumni students displaying a strong work ethic can be attributed to a mismatch between the talents and interests of alumni in the UINSU MEDAN KPI area, which should be the focal point of monitoring for these Indonesian youths. The effective management of alumni can offer a potential solution. In this study, researchers employed the ANP method to calculate career recommendations and ranked them using the TOPSIS method. The research methodology included a comprehensive literature review, observational data collection, interviews, documentation analysis, system flowchart design, ANP method application, TOPSIS method application, and system testing conducted using the black box method. Based on the calculations using the ANP and TOPSIS methods, Alternative A1 emerged as the top priority, scoring 1, while Alternative A13 received the lowest priority with a score of 0.13. These calculations were based on six criteria: discipline, honesty, responsibility, teamwork skills, and technical or practical proficiency. The highest-ranked career recommendation was "Insight into print, radio, and television media" with a manual priority of 0.7747 and a system-assigned priority of 0.73. Conversely, "Cameramen in television media" received the lowest score, with a value of 0.13 and a system-assigned priority of 0.13.
Keywords
ANP ; Decision Support Systems ; TOPSIS ; Web Applications ; Student
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 3 No. 3 (2023)
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Section: Articles
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Published: %750 %e, %2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/ijsecs.v3i3.1914
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Raja Alfiansyah
Faculty of Science and Technology, Computer Science, Universitas Islam Negeri Sumatera Utara, Medan City, North Sumatra Province, Indonesia
Ilka Zufria
Faculty of Science and Technology, Computer Science, Universitas Islam Negeri Sumatera Utara, Medan City, North Sumatra Province, Indonesia
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