MODEL GROUP DECISSION SUPPORT SYSTEM DALAM PEMILIHAN MEDIA PROMOSI PENERIMAAN MAHASISWA BARU PERGURUAN TINGGI SWASTA
DOI:
https://doi.org/10.54314/jssr.v8i4.4246Abstract
Abstract: To maintain stability and increase student enrollment, various promotional efforts are undertaken, including billboards, school visits, social media, radio, and other channels. However, these promotions do not prioritize appropriate promotional media, resulting in significant costs and resource constraints. The purpose of this study is to evaluate the best promotional media that can assist management in determining efficient promotional media priorities through a decision support system model. The decision support system used is a Group Decision Support System (GDSS) approach with multiple respondents. The method used includes the Multi-Factor Evaluation Process (MFEP), Multi-Attribute Utility Theory (MAUT), and Multi-Objective Optimization by Ratio Analysis (MOORA). The BORDA method is used as the final solution for the single best promotional media. The results of the study using the Borda method ranked social media and billboards as the best alternatives, followed by broadcasts and brochures, with radio coming in last. Therefore, this decision support model can help private universities determine more effective and objective student admissions promotion strategies.
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Keywords: GDSS; Multi-Respondent; Multi Method; Borda; College Promotion
Abstrak: Untuk menjaga stabilitas dan meningkatkan jumlah mahasiswa, berbagai upaya promosi dilakukan, termasuk melalui baliho, kunjungan ke sekolah-sekolah, promosi di media sosial, radio, dan lainnya. Namun, promosi yang dilakukan belum mempertimbangkan prioritas media promosi yang tepat, sehingga berdampak pada biaya dan sumber daya yang besar. Tujuan penelitian ini adalah untuk mengevaluasi media promosi terbaik yang dapat membantu manajemen dalam menentukan prioritas media promosi yang efisien melalui model sistem pendukung keputusan. Metode yang digunakan yaitu Sistem pendukung keputusan yang akan digunakan adalah dengan pendekatan Grup Decission Support System (GDSS) dengan multi responden dan penggunaan metode antara lain Multi Factor Evaluation Process (MFEP), Multi-Attribute Utility Theory (MAUT) dan metode Multi-Objective Optimization by Ratio Analysis (MOORA) dan dengan menggunakan pendekatan metode BORDA sebagai solusi final tunggal media promosi terbaik. Hasil penelitian dengan metode Borda menempatkan media sosial dan baliho sebagai alternatif terbaik, diikuti broadcast dan brosur, sementara radio menempati posisi terakhir. Dengan demikian, model pendukung keputusan ini dapat membantu perguruan tinggi swasta menentukan strategi promosi penerimaan mahasiswa baru secara lebih efektif dan objektif.
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Kata kunci: GDSS; Multi Responden; Multi Metode; Borda; PromosiPerguruan TinggiDownloads
References
Ade Novia Rahmawati, Wuryaningsih Akpan, U., & Morimoto, R. (2022). Socio-Economic Planning Sciences An application of Multi-Attribute Utility Theory ( MAUT ) to the prioritization of rural roads to improve rural accessibility in Nigeria. Socio-Economic Planning Sciences, 82(PB), 101256. https://doi.org/10.1016/j.seps.2022.101256
Alfaraidy, F. A., Teegala, K. S., & Dwivedi, G. (2023). Selection of a Sustainable Structural Floor System for an Office Building Using the Analytic Hierarchy Process and the Multi-Attribute Utility Theory. Sustainability, 15, 1–21. https://doi.org/https://doi.org/10.3390/su151713087
Almulhim, T. S. (2022). Decision support system for ranking relevant indicators for reopening strategies following COVID-19 lockdowns. Quality & Quantity, 56(2), 463–491. https://doi.org/10.1007/s11135-021-01129-3
Bakar, A. A. B. U., Arzuar, N. U. R., & Rahim, A. (2022). An Interrelated Decision-Making Model for an Intelligent Decision Support System in Healthcare. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3160725
Depari, M. A. S., & Elsera, M. (2024). APPLICATION OF MULTIFACTOR EVALUATION PROCESS METHOD TO DETERMINE TELEVISION PROGRAMS. International Journal of Data Science and Visualization, 3(1), 1–9. Retrieved from https://jurnal.umsu.ac.id/index.php/ijdsv/article/view/17599
Gupta, S. (2022). Artificial intelligence for decision support systems in the field of operations research : review and future scope of research. Annals of Operations Research, 308(1), 215–274. https://doi.org/10.1007/s10479-020-03856-6
Hanim, Z., Anggal, N., & Sanda, Y. (2023). Strategi pembiayaan pendidikan pada perguruan tinggi keagamaan Katolik swasta untuk pemenuhan capaian kinerja. JPPI (Jurnal Penelitian Pendidikan Indonesia), 9(2), 604. https://doi.org/10.29210/020232813
Konaté, J., Zaraté, P., Gueye, A., & Camilleri, G. (2020). An ontology for collaborative decision making. Lecture Notes in Business Information Processing, 388 LNBIP, 179–191. https://doi.org/10.1007/978-3-030-48641-9_13
Made, A. M., Ambiyar, A., Rizal, F., Riyanda, A. R., Pujiati, P., & Rahmawati, R. (2022). Evaluasi Akreditasi Program Studi di Perguruan Tinggi Merujuk pada Peraturan Pemerintah No 3 Tahun 2020 (SN DIKTI). Edukatif : Jurnal Ilmu Pendidikan, 4(4), 5228–5238. https://doi.org/https://doi.org/10.31004/edukatif.v4i4.3173
Manurung, N., Tama, R., Agus, A., Sembiring, A., & Promosi, M. (2023). DALAM PEMILIHAN MEDIA PROMOSI TERBAIK BAGI. Journal of Science and Social Research, 4307(3), 868–874. Retrieved from https://www.jurnal.goretanpena.com/index.php/JSSR/article/view/1419
Nalsa, R. C., & Nur, I. F. (2022). Penerapan Metode Simple Additive Weighting (SAW) Dan Metode Borda Count Dalam Optimalisasi Pemilihan Kandidat Terbaik Penerima Beasiswa. Jurnal Riset Dan Aplikasi Matematika, 06(02), 179–192. https://doi.org/https://doi.org/10.26740/jram.v6n2.p179-192
Rosita, I., & Apriani, D. (2020). Penerapan Metode Moora Pada Sistem Pendukung Keputusan Pemilihan Media Promosi Sekolah ( Studi Kasus : SMK Airlangga Balikpapan ). METIK, 4(2), 55–61.
Simangunsong, A., Simanjorang, R. M., Ningsih, E., Giawa, A., & Rahmalya, N. (2024). Penerapan Metode Multi Atribute Utility Theory ( MAUT ) Dalam Menentukan Lokasi Promosi Yang Tepat Dalam Penjaringan Calon Siswa Baru. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika Dan Komputer), 23(1), 105–111. Retrieved from https://ojs.trigunadharma.ac.id/index.php/jis/article/view/9595
Soebroto, A. A., Limantara, L. M., & Suhartanto, E. (2024). Modelling of Flood Hazard Early Warning Group Decision Support System. Civil Engineering Journal, 10(02), 614–627. https://doi.org/http://dx.doi.org/10.28991/CEJ-2024-010-02-018 ©
Soltanifar, M., & Branch, S. (2024). A New Interval for Ranking Alternatives in Multi Attribute Decision Making Problems. Journal of Applied Research on Industrial Engineering Www.Journal-Aprie.Com, 11(1), 37–56. https://doi.org/https://doi.org/10.22105/jarie.2022.339957.1467
Sotoudeh-anvari, A. (2023). Root Assessment Method ( RAM ): A novel multi-criteria decision making method and its applications in sustainability challenges. Journal of Cleaner Production, 423(September), 138695. https://doi.org/10.1016/j.jclepro.2023.138695
Warnilah, A. I., Purnia, D. S., & Farid, M. (2020). The Implementation of the MFEP ( Multi Factor Evaluation Process ) Method In Determining the Learning Model The Implementation of the MFEP ( Multi Factor Evaluation Process ) Method In Determining the Learning Model. Journal of Physics: Conference Series, 1641, 1–7. https://doi.org/10.1088/1742-6596/1641/1/012036




