DECISION SUPPORT SYSTEM FOR DETERMINING DEPARTMENT USING THE PROFILE MATCHING INTERPOLATION METHOD AT WIKRAMA VOCATIONAL SCHOOL, BOGOR
Abstract
Wikrama Vocational High School is one of the schools that routinely carries out the determination of majors every year. The majors process at Wikrama is carried out in the tenth grade by the Guidance and Counseling Teacher (BK Teacher) and the Head of Expertise Competence (Kakomli). BK and Kakomli teachers have difficulty determining the results of majors when there are more interest in one major than other majors, there is a mismatch of majors results because they are not in accordance with the existing majors in the chosen field of expertise and the process of majors is not accurate and fast. This is because it has not used an objective mechanism for determining majors, there is no weighting process, and there is no information system available. Therefore, it is necessary to develop a decision support system (DSS) to assist the process of determining majors using Profile Matching and Interpolation methods. The Profile Matching method is used for appraising decisions, while the Interpolation method is used for the weighting process. The criteria used in each field of expertise are Informatics Engineering with 11 criteria and Computers, Business Management with 8 criteria, and Tourism with 7 criteria. Based on the results of testing and validation that have been carried out by experts, it has an accuracy value of 93%. The accuracy value indicates that the system can provide recommendations for determining the right major. In addition, the interpolation weighting method is proven to increase the accuracy value compared to the ordinal weighting value in Profile Matching. The results of this study are in the form of a decision support system that helps in determining majors objectively, quickly and accurately.
Keywords
Full Text:
PDFReferences
Permendikbud (2014) “Permen No 64 of 2014 Concerning Specialization in Secondary Education,” Minister of Education and Culture of the Republic of Indonesia.
Mahardika, R., Sovia, R. and Lusiana, S. (2017) "Decision Support System for Majors at SMAN 1 Ampek Angkek Kab. Religion using the Multifactor Evaluation Process (MFEP) Method.pdf.”
Sutrisno, Wahyu, YR and Kusumaningrum, A. (2017) "Decision Support System for Student Majors Using the Simple Additive Weighting Algorithm," Journal of Informatics Polinema, 3(4), p. 48. doi: 10.33795/jip.v3i4.43
Dani RA, Tingastusi Tjahjaning and Bayu, M. (2019) "Decision Support System for Determining Majors Using the Analytical Hierarchy Process (AHP) Method," Journal of Informatics Engineering, Information Systems, and Computer Science, 8 (2) (2019) 2580- 2399, 8(2).
Hasan, F., Widiyanto, A. and Pujiarto, B. (2019) "Decision Support System for Determining Majors Using the 360 Degree Method at Muhammadiyah Muntilan High School," Journal of Komtika, 2(2), p. 95–101. doi: 10.31603/komtika.v2i2.2595
Nur, M. and Susliansyah, S. (2019) "Implementation of a Decision Support System for Selection of Majors Using the Vikor Method at Depok Tourism Vocational Schools," Journal of Techno Nusa Mandiri, 16(2), p. 127–132. doi: 10.33480/techno.v16i2.751.
Amalia, KR and Rizki, F. (2019) "Aisyah Journal of Informatics and Electrical Engineering Aisyah Journal of Informatics and Electrical Engineering," Aisyah Journal of Informatics and Electrical Engineering, p. 18–23.
Ningtyas, A. and Hasugian, H. (2019) "Decision Support System for Student Majors in SMA Negri 10 Tangerang Regency Using the Analytical Hierarchy Process (Ahp) and Profile Matching Methods," 2(2), p. 126–134.
Perdana, P., Soetanto, H. and Rossi, A. (2021) “Decision Support System for Selection of the Best Employees at PT. XYZ with Profile Matching and Interpolation Method Best Employee Selection Decision Support System at PT. XYZ with Profile Matching and Interpolation Methods," Journal of Systems and Information Technology, 09(2), p. 222–227. doi: 10.26418/justin.v9i2.44159.
Soetanto, H. et al. (2018) “Hypertension drug suitability evaluation based on patient conditions with improved profile matching,” Indonesian Journal of Electrical Engineering and Computer Science, 11(2), p. 453–461. doi: 10.11591/ijeecs.v11.i2.pp453-461.
DOI: https://doi.org/10.31326/jisa.v6i1.1625
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Gatot Tri Pranoto, Agung Nugroho, Ahmad Turmudi Zy
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
JOURNAL IDENTITY
Journal Name: JISA (Jurnal Informatika dan Sains)
e-ISSN: 2614-8404, p-ISSN: 2776-3234
Publisher: Program Studi Teknik Informatika Universitas Trilogi
Publication Schedule: June and December
Language: English
APC: The Journal Charges Fees for Publishing
Indexing: EBSCO , DOAJ, Google Scholar, Arsip Relawan Jurnal Indonesia, Directory of Research Journals Indexing, Index Copernicus International, PKP Index, Science and Technology Index (SINTA, S4) , Garuda Index
OAI address: http://trilogi.ac.id/journal/ks/index.php/JISA/oai
Contact: jisa@trilogi.ac.id
Sponsored by: DOI – Digital Object Identifier Crossref, Universitas Trilogi
In Collaboration With: Indonesian Artificial Intelligent Ecosystem(IAIE), Relawan Jurnal Indonesia, Jurnal Teknologi dan Sistem Komputer (JTSiskom)
JISA (Jurnal Informatika dan Sains) is Published by Program Studi Teknik Informatika, Universitas Trilogi under Creative Commons Attribution-ShareAlike 4.0 International License.