Main Article Content

Abstract

This research was conducted because of complaints from several parents regarding the BSM decision at SDN Kalanganyar ABC, however there were several students who were less well off because the choice of BSM was still subjective. SDN Kalanganyar ABC always holds activities related to BSM admissions once a year. It is hoped that this activity can also provide benefits for students who are poor but have excellent grades so they can carry out activities without being burdened by financial needs. In reality, there are still many students who do not receive BSM, even though according to the requirements, these students should be entitled to receive BSM. Therefore, there is a very irrational subjectivity in the ongoing elections. To overcome this problem, researchers tried to develop an application that applies the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, namely a method that makes decisions based on a rational compromise of criteria. These criteria include student reports, parents' income, academic achievement, dependents, home conditions, parents' relatives, and activity. From the results of the analysis and application of the VIKOR decision support system, subjective results were obtained for students whose evaluation standards and final decisions were lower than several other students, but the school provided BSM recommendations. To prevent the recurrence of this incident, VIKOR was able to answer objective findings with results of 76.57% with subjective findings of 23.43% in the previous system.

Keywords

BSM Decision Support System VIKOR Subyektif

Article Details

References

  1. Arsyah, U. I., Nasution, A. R., Sweety, M., & Toar, M. J. (2023). Sistem Pendukung Keputusan Penentuan Bayi Gizi Baik dan Buruk Metode VIKOR. Sistem Pendukung Keputusan Dengan Aplikasi, 2(1). https://doi.org/10.55537/spk.v2i1.611
  2. Denni M Rajagukguk. (2021). Rekomendasi Penerima Bantuan Siswa Miskin (BSM) dengan Metode Simple Additive Weighting (SAW). Studi Kasus : SMP N 1 Lintongnihuta. JUKI : Jurnal Komputer Dan Informatika, 1(2), 51–58. https://doi.org/10.53842/juki.v1i2.17
  3. Efendi, R., Sari, J. P., & Kristian, L. (2022). Sistem Pendukung Keputusan Kelayakan Bagi Calon Penerima Dana Program Keluarga Harapan Dengan Menggunakan Metode VIKOR Berbasis Website. Rekursif, 10(2), 122–128.
  4. Fedajev, A., Stanujkic, D., Karabašević, D., Brauers, W. K. M., & Zavadskas, E. K. (2020). Assessment of progress towards “Europe 2020” strategy targets by using the MULTIMOORA method and the Shannon Entropy Index. Journal of Cleaner Production, 244. https://doi.org/10.1016/j.jclepro.2019.118895
  5. Gou, X., Liao, H., Xu, Z., & Herrera, F. (2017). Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion, 38(February), 22–34. https://doi.org/10.1016/j.inffus.2017.02.008
  6. Handayani, M., & Marpaung, N. (2021). Implementasi Metode Vikor Sebagai Pendukung Keputusan Penentuan Karyawan Penerima Reward. Journal of Science and Social Research, 4(2), 171. https://doi.org/10.54314/jssr.v4i2.581
  7. Ihsan, K., & Ginting, G. L. (2020). Penerapan Metode WASPAS Untuk Menentukan Penerima Beasiswa Pada Perguruan Tinggi Negeri. TIN: Terapan Informatika Nusantara, 1(1), 1–7. Retrieved from https://ejurnal.seminar-id.com/index.php/tin/article/view/231
  8. Lestari, B., Sri Rejeki, N., Gustian, D., & Muslih, M. (2020). Penentuan Penerimaan Bantuan Siswa Miskin Menggunakan Analitycal Hierarchy Process. Jurnal Riset Sistem Informasi Dan Teknologi Informasi (JURSISTEKNI), 2(3), 32–44. https://doi.org/10.52005/jursistekni.v2i3.64
  9. Ningsih, D. A., Hartama, D., & Dewi, R. (2020). Penerapan Metode VIKOR Pada Pengambilan Keputusan Seleksi Calon Penerima Beasiswa di SMK TPI Al-Hassanah Pematang Bandar. Brahmana : Jurnal Penerapan Kecerdasan Buatan, 2(1), 25–32. https://doi.org/10.30645/brahmana.v2i1.45
  10. Pratiwi, N. A. D., Purnawansyah, P., & Darwis, H. (2021). Sistem Pendukung Keputusan Penerimaan Bantuan Siswa Miskin Menggunakan Metode Moora. Buletin Sistem Informasi Dan Teknologi Islam, 2(3), 131–139. https://doi.org/10.33096/busiti.v2i3.823
  11. Rezkyqah, F. N., Anraeni, S., & Irawati, I. (2021). Penerapan Metode Visekriterijumsko Kompromisno Rangiranje (VIKOR) Pada Sistem Pendukung Keputusan Penentuan Penerima Bantuan Iuran (PBI) BPJS Kesehatan. Buletin Sistem Informasi Dan Teknologi Islam, 2(1), 43–51. https://doi.org/10.33096/busiti.v2i1.754
  12. Rofiqo, N., Windarto, A. P., & Wanto, A. (2018). Penerapan Metode VIKOR Pada Faktor Penyebab Rendahnya Minat Mahasiswa Dalam Menulis Artikel Ilmiah. Seminar Nasional Sains & Teknologi Informasi (SENSASI), 1(1), 228–237.
  13. Tundo, T, & Wijonarko, P. (2023). Penyeleksian Beasiswa Berprestasi pada Universitas XYZ Menggunakan Metode MOORA. Jurnal Informatika Dan …, 5(2), 145–151. Retrieved from https://publikasiilmiah.unwahas.ac.id/index.php/JINRPL/article/view/8761
  14. Tundo, Tundo. (2022). Subjectivity Tracking System for Poor Scholarship Recipients at Elementary School Using the MOORA Method. JTAM (Jurnal Teori Dan Aplikasi Matematika), 6(3), 498–510.
  15. Tundo, Tundo, Gatra, R., & Wijonarko, P. (2023). Sebuah Komparasi Metode WASPAS dan WP: untuk Penentuan Kandidat Lurah Pondok. Jurnal Kajian Teknik Elektro, 8(2), 44–52. https://doi.org/10.52447/jkte.v8i2.6995
  16. Tundo, Tundo, & Kurniawan, D. (2019). Implementation of the Weighted Aggregated Sum Product Assesment Method in Determining the Best Rice for Serabi Cake Making. International Journal on Informatics for Development, 8(1), 40–46.
  17. Tundo, Tundo, & Nugroho, W. D. (2020). An Alternative in Determining the Best Wood for Guitar Materials Using MOORA Method. International Journal on Informatics for Development, 9(1), 37–44. https://doi.org/10.14421/ijid.2020.09106
  18. Wahyudi, A. T., Giyanti, I., & Kritiana, B. V. (2023). Studi Penentuan Jumlah Produksi Botol Kemasan Minuman Yang Optimal Dengan Fuzzy Time Series Markov Chain Dan Fuzzy Inference System. JISI: Jurnal Integrasi Sistem Industri, 10(2), 11. https://doi.org/10.24853/jisi.10.2.11-21