Decision Support System for Financial Aid for Underprivileged Students using the TOPSIS Method

Authors

  • Apprillia Yudha Pransiska Universitas Labuhanbatu, Indonesia
  • Angga Putra Juledi Universitas Labuhanbatu, Indonesia
  • Syaiful Zuhri Harahap Universitas Labuhanbatu, Indonesia

DOI:

10.33395/sinkron.v8i3.12798

Keywords:

BSM; Decision Support System; Labuhanbatu; Selection; TOPSIS.

Abstract

The distribution of Financial Aid for Underprivileged Students is considered not to be on target due to the unmeasured selection process. So a decision-making system is needed that can select beneficiaries objectively. This research was conducted to assist the school in determining students who deserve this assistance. The purpose of this research is to build a decision-making system for selecting beneficiaries from poor students by applying the Technique for Order of Preference by Similarity to Ideal Solution method. The formulation of the problem is how to build a decision support system using the Technique for Order of Preference by Similarity to Ideal Solution method in selecting students who receive financial aid for underprivileged students. The method used goes through several stages, namely: determining alternatives and criteria, building a normalized decision matrix, building a weighted normalized decision matrix, determining positive and negative ideal solutions, determining the distance between ideal solutions, and determining preference values. There are 7 criteria used, namely social protection card recipients, total income, number of dependents, parental status, distance, class, and report card scores. The results showed that the highest preference value for each alternative was in alternative A3, with a score of 0.6665. While the lowest preference value is in alternative A20 with a score of 0.0719, From the results of the study, it was concluded that the Technique for Order of Preference by Similarity to Ideal Solution method can be used in making decisions on the selection of beneficiaries of poor students based on preference value rankings.

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Author Biographies

Apprillia Yudha Pransiska, Universitas Labuhanbatu, Indonesia

 

 

Angga Putra Juledi, Universitas Labuhanbatu, Indonesia

 

 

Syaiful Zuhri Harahap, Universitas Labuhanbatu, Indonesia

 

 

References

Akbar, R., & ’Uyun, S. (2021). Penentuan Bantuan Siswa Miskin Menggunakan Fuzzy Tsukamoto dengan Perbandingan Rule Pakar dan Decision Tree (Studi Kasus : SDN 37 Bengkulu Selatan). Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 8(4), 651–662. https://doi.org/10.25126/jtiik.0813191

Asrul, B. E. W., & Zuhriyah, S. (2021). Sistem Pendukung Keputusan Pendistribusian Air Bersih Menggunakan Mobil Tangki pada PDAM Kota Makassar dengan Menggunakan Metode TOPSIS. Jurnal Teknologi Informasi Dan Ilmu Komputer, 8(1), 35–40. https://doi.org/10.25126/jtiik.2020762630

Cahyanu, E. T., Lestari, S. D., & Hermawan, H. (2019). Sistem Pendukung Keputusan Bagi Penerima Bantuan Siswa Miskin (BSM) Menggunakan Metode Simple Additive Weighting (SAW) di SMA Negeri 1 Raren Batuah Kabupaten Barito Timur. Journal of Applied Informatics and Computing (JAIC), 3(2), 114–118. https://doi.org/10.30871/jaic.v3i2.1752

Firdonsyah, A., Warsito, B., & Wibowo, A. (2022). Comparative Analysis of SAW and TOPSIS on Best Employee Decision Support System. SinkrOn, 7(3), 1067–1077. https://doi.org/10.33395/sinkron.v7i3.11475

Firgiawan, W., Zulkarnaim, N., & Cokrowibowo, S. (2020). A Comparative Study using SAW, TOPSIS, SAW-AHP, and TOPSIS-AHP for Tuition Fee (UKT). IOP Conference Series: Materials Science and Engineering, 875(1). https://doi.org/10.1088/1757-899X/875/1/012088

Gil, M., Wróbel, K., Montewka, J., & Goerlandt, F. (2020). A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention. Safety Science, 128(July 2019), 104717. https://doi.org/10.1016/j.ssci.2020.104717

Handayani, R. I., Normah, N., & Wironoto, D. (2021). TOPSIS method application in choosing the Most-Sale POS cashier machines and tools. SinkrOn, 6(1), 1–12. Retrieved from https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10898

Kristiana, T. (2018). Sistem Pendukung Keputusan Dengan Menggunakan Metode TOPSIS Untuk Pemilihan Lokasi Pendirian Grosir Pulsa. Paradigma, XX(1), 8–12.

Muzakkir, I. (2017). Penerapan Metode TOPSIS untuk Sistem Pendukung Keputusan Penentuan Keluarga Miskin pada Desa Panca Karsa II. ILKOM Jurnal Ilmiah, 9(3), 274–281. https://doi.org/10.33096/ilkom.v9i3.156.274-281

Nalatissifa, H., & Ramdhani, Y. (2020). Sistem Penunjang Keputusan Menggunakan Metode Topsis Untuk Menentukan Kelayakan Bantuan Rumah Tidak Layak Huni (RTLH). MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 19(2), 246–256. https://doi.org/10.30812/matrik.v19i2.638

Nata, A., & Apridonal, Y. (2020). Kombinasi Metode AHP dan MFEP dalam Upaya Meningkatkan Kualitas Penerima Bantuan Siswa Miskin. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 6(2), 179–186. https://doi.org/10.33330/jurteksi.v6i2.597

Nazar, M. A. (2022). Penerapan Metode TOPSIS untuk Penentuan Pemberian Beasiswa Bantuan Siswa Miskin. Cyberarea.Id, 2(4), 1–11.

Nurelasari, E., & Purwaningsih, E. (2020). Sistem Pendukung Keputusan Pemilihan Perumahan Terbaik dengan Metode TOPSIS. JUSTIN: Jurnal Sistem Dan Teknologi Informasi, 08(4), 317–321. https://doi.org/10.26418/justin.v8i4.41036

Putri, K. D., Juledi, A. P., & Munthe, I. R. (2023). Perancangan Aplikasi SPK Penerimaaan Tenaga Kerja Honorer dengan Menggunakan Metode MAUT. MEANS (Media Informasi Analisa Dan Sistem), 8(1).

Rajagukguk, D. M. (2019). 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

Riandari, F., Hasugian Marto, P., & Taufik, I. (2017). Sistem Pendukung Keputusan Menggunakan Metode TOPSIS Dalam Memilih Kepala Departemen Pada Kantor Balai Wilayah Suangai Sumatera II Medan. Journal Of Informatic Pelita Nusantara, 2(1), 6–13.

Santiary, P. A. W., Ciptayani, P. I., Saptarini, N. G. A. P. H., & Swardika, I. K. (2018). Sistem Pendukung Keputusan Penentuan Lokasi Wisata dengan Metode TOPSIS. Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 5(5), 621–628. https://doi.org/10.25126/jtiik2018551120

Somya, R., & Wardoyo, R. (2019). Perancangan Sistem Pendukung Keputusan Seleksi Asisten Dosen Menggunakan Kombinasi Metode Profile Matching dan TOPSIS Berbasis Web Service. Khazanah Informatika : Jurnal Ilmu Komputer Dan Informatika, 5(1), 44–50. https://doi.org/10.23917/khif.v5i1.7924

Syaifuddin, Solikhin, & Riyanto, E. (2022). Aplikasi untuk Mencari Kelayakan Siswa Penerima Bantuan Pendidikan dengan Metode Simple Additive Weighting (Studi Kasus: SMK NU Ma’arif 2 Kudus). Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 9(1), 41–50. https://doi.org/10.25126/jtiik.2021864023

Winata, H., Marsono, M., & Nasyuha, A. H. (2018). Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Penerima Bantuan Siswa Miskin (BSM) Pada SD Negeri 8 Bintang Menggunakan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Sains Dan Komputer (SAINTIKOM), 17(2), 198–205. https://doi.org/10.53513/jis.v17i2.44

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How to Cite

Pransiska, A. Y. ., Juledi, A. P. ., & Harahap, S. Z. . (2023). Decision Support System for Financial Aid for Underprivileged Students using the TOPSIS Method. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1967-1979. https://doi.org/10.33395/sinkron.v8i3.12798

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