DSS Using MABAC,MOORA For Selection of Majors According to Students' Interests
DOI:
10.33395/sinkron.v8i2.12335Keywords:
Interest; DSS; MOORA; MABAC; MajorAbstract
In the current digital era, individual abilities are needed to be more creative and innovative in various fields, so that vocational students must better prepare their competencies. In this case the competence is related to the major they choose. On average, students take the wrong major about 35%, follow friends around 50%, for students who really choose the right major 15%. For this, the MABAC and MOORA decision support system methods are needed in terms of determining majors according to student interests and talents. System development uses the Waterfall method. The purpose of this study is to design a decision support system that can be used for selecting majors according to student interests by utilizing the results of a comparison of the MABAC and MOORA methods. The results of this study illustrate the MOORA calculation for major selection, so prospective students get the decision to choose the Multimedia major because it has the highest score. From the MABAC calculations for the selection of majors, prospective students get the decision to choose the Accounting major because it has the highest score. The comparison of the mabac and moora methods is where mabac has the highest decision outcome value compared to the decision outcome value of the moora method so that the mabac method is used to assist decision making in selecting majors according to interests.
Downloads
References
N. H. Lubis, I. S. Damanik, and W. Saputra, “Sistem Pendukung Keputusan dengan Metode Electre II Dalam
Menentukan Aplikasi Belanja Online Terbaik,” BEES Bull. Electr. Electron. Eng., vol. 2, no. 3, pp. 98–
, 2022, doi:10.47065/bees.v2i3.1382.
R. Dermawan and S. Sinurat, “Penerapan Metode Metode Multi-Attribut Border Approximation Area Comparison
(MABAC) dalam Penentuan Akademi Kebidanan (AKBID) Terbaik,” J. Comput. Syst. Informatics, vol.
, no. 1, pp. 1–8, 2021, doi: 10.47065/josyc.v3i1.820.
I. R. Rahadjeng, M. N. H. Siregar, and A. P. Windarto, “Pemanfaatan Sistem Keputusan Dalam Mengevaluasi
PenentuanAplikasi Chatting Terbaik Dengan Multi Factor Evaluation Process,” J. Media Inform.
Budidarma, vol. 6, no. 2, pp.1258–1262, 2022, doi: 10.30865/mib.v6i2.4021.
E. B. Barus, “TIN : Terapan Informatika Nusantara Sistem Pendukung Keputusan Pemilihan Best Employee
Dengan Menerapkan Metode MABAC TIN : Terapan Informatika Nusantara,” vol. 2, no. 9, pp. 551–557,
, doi:10.47065/tin.v2i9.1028.
D. Agma, Y. Maulita, S. Ramadani, B. Kota, and J. T. Informatika, “Sistem Pendukung Keputusan Penilaian
MatrasSpringbed Dengan Metode MABAC ( Studi Kasus PT . Ocean Centra Furnindo ),” vol. 6, no. 3,
S. A. Panjaitan, “Sistem Pendukung Keputusan Perekrutan Internal Audit Officer (Audit) Menerapkan Kombinasi
Metode AHP dan MABAC,” TIN Terap. Inform. Nusant., vol. 2, no. 12, pp. 710–720, 2022,
doi:10.47065/tin.v2i12.1582.
I. E. Ismail, A. D. Hasanah, and P. N. Jakarta, “Sistem Pendukung Keputusan Pemberian Pinjaman Menggunakan
Metode Multiattribute Approximation Border Area Comparison,” vol. 8, pp. 70–81, 2022.
M. D. Saefudin and A. Mirza, “Sistem Penunjang Keputusan Penilaian Guru Terbaik Dengan Metode Multi-
Attributive Border Approximation ( MABAC ),” vol. 1, no. 06, pp. 609–619, 2022.
D. W. Sipahutar, “Sistem Pendukung Keputusan Pemilihan Teknisi Broadcasting Pada TVRI Medan Menerapkan
Metode MABAC,” vol. 8, no. 2, pp. 55–63, 2021, doi: 10.30865/jurikom.v8i2.2829.
Zulkarnain. and Yasir.Hasan, “Sistem Pendukung Keputusan Pemilihan Peserta FLS2N SMAN 1 Perbaungan
Menggunakan Metode MABAC,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 2, no. 1, pp. 1–7, 2021.
K. Nisa, “Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Optimalisasi Metode MABAC Dalam
Menentukan Prioritas Penerima Pinjaman Koperasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD,” vol. pp. 280–292, 2022.
C. Handayani, A. M. Muhsidi, and N. I. Khomalia, “Metode Multi Attributive Border Approximation Area
Comparison (MABAC) Untuk Penilaian Kinerja Dalam Pengelolaan Alokasi Dana Desa ( ADD ),” vol. 20, no. 01, pp. 303–309,2021.
R. N. KALEM and M. E. AKPINAR, “Personnel Performance Assessment using Entropy based MABAC Method:
An Application in the Food Sector,” Equinox J. Econ. Bus. Polit. Stud., vol. 9, no. 1, pp. 89–106, 2022, doi: 10.48064/equinox.1063776.
M. Baydaş, “The effect of pandemic conditions on financial success rankings of BIST SME industrial companies :
a different evaluation with the help of comparison of special capabilities of MOORA , MABAC and FUCA methods Salgın koşullarının BIST KOBI sanayi firmaların,” vol. 10, pp. 245–260, 2022.
A. Triayudi, F. Nugroho, and A. G. Simorangkir, “Sistem Pendukung Keputusan Dalam Penilaian Kinerja
Supervisor Menggunakan Metode COPRAS Dengan Pembobotan ROC,” vol. 3, no. 4, pp. 461–468, 2022, doi: 10.47065/josyc.v3i4.2214.
Abdullah, S. N., Fitri, I., & Aldisa, R. T. (2022). Sistem Penunjang Keputusan Pemilihan Model Stainless steel
untuk Kitchen Set dengan Metode AHP. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi),6(2), 313-318 Djaali, Psikologi pendidikan (Jakarta: Bumi Aksara, 2012), hlm. 121
Fadli, S., & Imtihan, K. (2019). Implementation of MOORA Method in Evaluating Work Performance of
Honorary Teachers. SinkrOn, 4(1), 128. https://doi.org/10.33395/sinkron.v4i1.10192
Ihwa, B. N., Silalahi, N., & Hondro, R. K. (2020). Sistem Pendukung Keputusan Pemilihan Jaksa Terbaik dengan
Menerapkan Metode MABAC ( Studi Kasus : Kejaksaan Negeri Medan ). Journal of Computer System
and Informatics, 1(4), 225–230.https://ejurnal.seminar-
id.com/index.php/josyc/article/download/158/257
Kristianto hondro, R. (2018). MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode
MultiAttributive Border Approximation Area Comparison. Jurnal Mahajana Informasi, 3(1), 41–52.
K. -w. Shen, X. -k. Wang, D. Qiao and J. -q. Wang, "Extended Z-MABAC Method Based on Regret Theory and Directed Distance for Regional Circular Economy Development Program Selection With Z-Information," in IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, pp. 1851-1863, Aug. 2020, doi: 10.1109/TFUZZ.2019.2923948.
Manurung, S. (2018). Sistem Pendukung Keputusan Pemilihan Guru Dan Pegawai Terbaik Menggunakan Metode
Moora. Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 9(1), 701–706. https://doi.org/10.24176/simet.v9i1.1967
Moslem, S., & Çelikbilek, Y. (2020). An integrated grey AHP-MOORA model for ameliorating public transport
service quality. European Transport Research Review, 12(1), 1–13. https://doi.org/10.1186/s12544-020-00455-1
Oktavia, Tanty & Prabowo, Harjanto & Widjaja, Meyliana & Supangkat, Suhono. (2018). The Comparison of
MOOC (Massive Open Online Course) Platforms of edX and Coursera (Study Case: Student of Programming Courses). 1-9. 10.1109/ICIMTech.2018.8528178.
Mhd.Daffa Saefudin, Anis Mirza (2020), Sistem Penunjang Keputusan Penilaian Guru Terbaik Dengan Metode
Multi-Attributive Border Approximation (MABAC), OKTAL : Jurnal Ilmu Komputer dan SainsVolume1, No.06, Juni(2022)E-ISSN 2828-2442 Hal 609-619.
Ndruru, N., Mesran, Waruru, F. T., & Utomo, D. P. (2020). Penerapan Metode MABAC Untuk Mendukung
Pengambilan Keputusan Pemilihan Kepala Cabang Pada PT. Cefa Indonesia Sejahtera Lestari. Resolusi: Rekayasa Teknik Informatika Dan Informasi, 1(1), 36–49. http://djournals.com/resolusi/article/view/11.
Adiyatma, Widya & Oktavia, Tanty & Adhikara, Cooky & Gaol, F.L. & Hosoda, T.. (2021). Evaluation of
smartwatch usage based on the perspective of expectation confirmation model (ecm), healthology, hedonic, and habits factors. ICIC Express Letters. 15. 693-699. 10.24507/icicel.15.07.693. [27].
Ozdemir, M. H. (2020). MOORA ve MOOSRA Yöntemleriyle Akıllı Telefon Seçimi. Istanbul Management
Journal, 157–170. https://doi.org/10.26650/imj.2020.89.0007
Rahmayu, M., & Serli, R. K. (2018). Sistem Pendukung Keputusan Pemilihan Jurusan Pada Smk Putra Nusantara
Jakarta Menggunakan Metode Analytical Hierarchy Process (Ahp). Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 9(1), 551–564. https://jurnal.umk.ac.id/index.php/simet/article/view/2022
Sitiatava Rizema Putra, Panduan Pendidikan Berbasis Bakat Siswa (Jogjakarta: DIVA Press, 2013), hlm. 18
Wang, J., Wei, G., Wei, C., & Wei, Y. (2020). MABAC method for multiple attribute group decision making
under q-rung orthopair fuzzy environment. Defence Technology, 16(1), 208–216. https://doi.org/10.1016/j.dt.2019.06.019
Downloads
|
How to Cite
Issue
Section
License
Copyright (c) 2023 Ayulita Purnama Sari, Tanty Oktavia
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Muhammad Khoiruddin harahap
Google Scholar 
Moraref
PKP Index
Garuda Kemdikbud
Indonesia OneSearch
OCLC Worldcat
Dimensions
Index Copernicus
Scilit
