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TATOPSIS: A decision support system for selecting a major in university with a two-way approach and TOPSIS

1Informatics Department, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret. Jl. Ir Sutami 36 A, Surakarta, Central Java 57126, Indonesia

2Department of Chemistry Education, Faculty of Teacher Training and Education, Universitas Sebelas Maret. Jl. Ir Sutami 36 A, Surakarta, Central Java 57126, Indonesia

3Department of Informatics and Computer Technology Education, Faculty of Teacher Training and Education, Universitas Sebelas Maret. Jl. Ir Sutami 36 A, Surakarta, Central Java 57126 , Indonesia

Received: 21 Jan 2021; Revised: 6 Nov 2021; Accepted: 20 Jan 2022; Published: 31 Jan 2022.
Open Access Copyright (c) 2022 The authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
Several problems can occur when students feel they have made the wrong choice of major in university. Choosing a major is one of the problems that students often face. Therefore, this study aims to develop a Decision Support System (DSS) to help students find majors that match their interests and abilities. This DSS proposes a two-way approach by considering students and the major's requirements, standards, and characteristics. The DSS utilizes the TOPSIS method; therefore, it is called TATOPSIS, which stands for Two-way Approach TOPSIS. It showed that the two-way approach in Scenario 1 (without score normalization) and Scenario 3 (with score normalization) shows better agreement results in 78.33% and 73.33% than the two-way approach for Scenario 2, Scenario 4, and the student-one-way approaches.
Keywords: decision support system; major selection; TOPSIS; two-way approach
Funding: Universitas Sebelas Maret

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  1. S. K. S. Kruck and D. L. D. Lending, “Predicting academic performance in an introductory college introductory college-level IS course,” Information Technology, Learning, and Performance Journal, vol. 21, no. 2, pp. 9–16, 2003
  2. L. Freedman, “The developmental disconnect in choosing a major: Why institutions should prohibit choice until second year,” The Mentor: Innovative Scholarship on Academic Advising, Pennsylvania, USA, vol. 15, 2013
  3. W. Winkel, Psikologi pengajaran. Jakarta: Gramedia, 1989
  4. A. A. Nurdin and K. Zainuddin, “Psychological well-being ditinjau dari coping strategy mahasiswa salah jurusan,” B.Sc thesis, Universitas Negeri Makassar, Makasar, Indonesia, 2018
  5. Z. Masriah, M. N. Malay, and A. Fitriani, “Persepsi mahasiswa terhadap jurusan di perguruan tinggi dan konsep diri dengan kesesuaian minat memilih jurusan,” ANFUSINA: Journal of Psychology, vol. 1, no. 1, pp. 61–76, 2018
  6. A. Nurhartanto, “Edukasi pemilihan jurusan kuliah melalui metode pemetaan bakat,” Jurnal Pengabdian Kepada Masyarakat, vol. 2, no. 1, pp. 33–39, 2021
  7. W. Primayasa, I. Arifin, and M. Y. Baharsyah, “Pengaruh salah pilih jurusan terhadap rasa putus asa mahasiswa Teknik Informatika,” Nathiqiyyah, vol. 3, no. 1, pp. 22–27, 2020. doi: 10.46781/nathiqiyyah.v3i1.76
  8. D. Purba, “Penyesuaian diri mahasiswa yang kuliah di jurusan yang tidak diminati,” in Seminar Nasional Psikologi, Semarang, Indonesia, Jan. 2016, pp. 120–130
  9. C. A. Malgwi, M. A. Howe, and P. A. Burnaby, “Influences on students’ choice of college major,” Journal of Education for Business, vol. 80, no. 5, pp. 275–282, 2005. doi: 10.3200/JOEB.80.5.275-282
  10. P. A. W. Ananta, I. M. A. Wirawan, and G. A. Pradnyana, “Pengembangan sistem pendukung keputusan pemilihan jurusan kuliah di perguruan tinggi dengan metode Dempster-Shafer (Studi kasus : bimbingan konseling SMAN 1 Seririt),” Karmapati, vol. 7, no. 2, pp. 66–75, 2018. doi: 10.23887/karmapati.v7i2.15274
  11. M. R. Okaviana and R. Susanto, “Sistem pendukung keputusan rekomendasi pemilihan program studi menggunakan metode multifactor evaluation process di Sma Negeri 1 Bandung,” Komputa, vol. 3, no. 2, pp. 50–57, 2014. doi: 10.34010/komputa.v3i2.2389
  12. D. Vinsensia and Y. Utami, “Penerapan fuzzy inference system (FIS) metode Mamdani dalam pemilihan jurusan perguruan tinggi,” SinkrOn: Jurnal dan Penelitian Teknik Informatika, vol. 2, no. 2, pp. 28–36, 2018
  13. S. Pare, “Sistem pendukung keputusan pemilihan program studi pada perguruan tinggi,” Jurnal Teknik Mustek Anim Ha, vol. 2, pp. 58–70, 2013
  14. D. Khuntari and R. Ferdiana, “Teknik rekomendasi pemilihan jurusan perguruan tinggi dengan pendekatan preferensi pengguna dan analytic hierarchy process,” Semnasteknomedia Online, vol. 3, no. 1, pp. 25–30, 2015
  15. R. Bahaweres, F. Budiyanto, and A. Antonyova, “AHP (analytical hierarchy process) electoral college majors in indonesia based on android mobile,” ARPN Journal of Engineering and Applied Sciences, vol. 10, pp. 457–466, 2015
  16. Y. S. Prabowo and A. Sunyoto, “Sistem pendukung keputusan pemilihan jurusan SNMPTN bagi siswa SMAN 7 Purworejo,” in Konferensi Nasional Sistem & Informatika, Bali, Indonesia, Oct. 2015, pp. 180–185
  17. A. Irawan and R. Rochmawati, “Decision support system for alternative site selection of kkn using topsis,” International Journal of Computer Applications, vol. 150, no. 7, pp. 1–6, 2016, doi: 10.5120/ijca2016911538
  18. F. Hamzeloei and M. K. Dermany, “A TOPSIS based cluster head selection for wireless sensor network,” Procedia Computer Science, vol. 98, pp. 8–15, 2016. doi: 10.1016/j.procs.2016.09.005
  19. O. Alptekin and N. Alptekin, “Analysis of criteria influencing contractor selection using TOPSIS method,” IOP Conference Series: Materials Science and Engineering, vol. 245, 062003, 2017. doi: 10.1088/1757-899X/245/6/062003
  20. X. Li, J. You, and W. Zhao, “Impact analysis of mobile medical Apps based on AHP-TOPSIS: A case study of China,” in the 5th International Conference on Mathematics and Artificial Intelligence, Chengdu, China, Apr. 2020, pp. 214–218. doi: 10.1145/3395260.3395272
  21. F. Dianawati and W. S. Perdana, “Analytic Hierarchy Process (AHP) and TOPSIS for designing green public procurement indicator on Trans-Java toll rest area,” in the 5th International Conference on Industrial and Business Engineering, Hong Kong, Hong Kong, Sep. 2019, pp. 237–242. doi: 10.1145/3364335.3364395
  22. M. M. Ulkhaq, W. R. Wijayanti, M. S. Zain, E. Baskara, and W. Leonita, “Combining the AHP and TOPSIS to evaluate car selection,” in the 2nd International Conference on High Performance Compilation, Computing and Communications, New York, USA, Mar. 2018, pp. 112–117. doi: 10.1145/3195612.3195628
  23. R. R. Kumar and C. Kumar, “Designing an efficient methodology based on Entropy-TOPSIS for evaluating efficiency of cloud services,” in the 7th International Conference on Computer and Communication Technology, Allahabad, India, Nov. 2017, pp. 117–122. doi: 10.1145/3154979.3154982
  24. I. Petrov, “AHP enlargement in traditional Entropy-TOPSIS approach for selecting desktop personal computers for distance learning: Decomposition of evaluation criteria in blocks with AHP for better consideration of users’ needs in the MCDM process on the example of the Entropy-TOPSIS approach,” in International Conference on Computer Systems and Technologies, Ruse, Bulgaria, Jun. 2021, pp. 61–66. doi: 10.1145/3472410.3472431
  25. W. R. Wijayanti, W. R. Dewi, F. Ardi, A. Fajri, M. M. Ulkhaq, and P. Y. Akshinta, “Combining the fuzzy AHP and TOPSIS to evaluate service quality of e-commerce website,” in the 10th International Conference on Education Technology and Computers, Tokyo, Japan, Jun. 2018, pp. 397–402. doi: 10.1145/3290511.3290514
  26. A. Jaiswal and R. Mishra, “Cloud service selection using TOPSIS and fuzzy TOPSIS with AHP and ANP,” in the 2017 International Conference on Machine Learning and Soft Computing, Ho Chi Minh, Vietnam, Jan. 2017, pp. 136–142. doi: 10.1145/3036290.3036312
  27. X. Zhu, F. Wang, C. Liang, J. Li, and X. Sun, “Quality credit evaluation based on TOPSIS: Evidence from air-conditioning market in China,” Procedia Computer Science, vol. 9, pp. 1256–1262, 2012. doi: 10.1016/j.procs.2012.04.137
  28. G.-H. Tzeng and J.-J. Huang, Multiple attribute decision making: methods and applications. Florida USA: CRC press, 2011. doi: 10.1201/b11032
  29. D. Wardani, R. Jannah, and H. Setiadi, “Major choosing decision support system with talent interest approach using SWRL and SAW method,” in the 5th International Conference on Sustainable Information Engineering and Technology, Malang, Indonesia, Nov. 2020, pp. 95–100. doi: 10.1145/3427423.3427445

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