NATIONAL INTRA-SCHOOL STUDENT ORGANIZATION FORUM SCHOLARSHIP ACCEPTANCE WITH THE TOPSIS METHOD
Abstract
This study aims to apply the TOPSIS method as an effective tool in the decision-making system for selecting scholarship recipients. The scholarship selection process is an important step in ensuring that institutions select potential recipients who fit their criteria. In this study, researchers identified criteria that were relevant in the selection of scholarship recipients, such as the average student report card scores, student positions in student council, student experience, and student achievements. The data obtained from each vendor is converted to a relative scale using normalization techniques. The TOPSIS method was then applied to obtain the relative ranking of each student. In this method, students who have the closest distance to the positive ideal solution (which has the highest score on all criteria) and the farthest distance from the negative ideal solution (which has the lowest score on all criteria) will be selected as the best choice. This research was conducted using a case study on the selection process for FON scholarship recipients at the Telkom Institute of Technology, Purwokerto. The results show that the TOPSIS method provides a consistent and objective rating for each student. Thus, the TOPSIS-based decision-making system can assist management in selecting students who best fit the institution's criteria. In addition, we also conducted a sensitivity analysis to test the reliability of the scholarship recipient selection results by considering the variation in the weight of the criteria. The results show that changing the weight of the criteria can affect ranking, allowing management to consider different preferences with the final result being the highest preference value, namely 0.844901. This research makes an important contribution in the field of decision-making systems and selection of scholarship recipients
References
[2] B. Arifitama, “Jisa (Jurnal Informatika Dan Sains) Decision Support System Scholarship Selection Using Simple Additive Weighting (Saw) Method,†Jisa (Jurnal Informatika Dan Sains), Vol. 5, No. 1, Pp. 80–84, Jun. 2022.
[3] D. Wira Trise Putra, S. Noviasanti, G. Yoga Swara, And E. Yulianti, “Metode Topsis Dalam Sistem Pendukung Keputusan Pemilihan Objek Wisata,†Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, Vol. 8, No. 1, Pp. 1–6, 2020, Doi: 10.21063/Jtif.2020.V8.1.
[4] M. Awiet, W. Prasetyo, G. Setyaningsih, R. Bangkit Bachtiar, And D. Y. Saputri, “Tuan Desa Application Menggunakan Metode Topsis Sebagai Penentuan Rencana Kerja Pembangunan Desa,†Jurnal Sains Dan Teknologi, Vol. 11, Pp. 38–46, 2022, Doi: 10.23887/Jst-Undiksha.V11i1.
[5] D. Alita, I. Sari, And A. Rahman Isnain, “Penerapan Naïve Bayes Classifier Untuk Pendukung Keputusan Penerima Beasiswa,†Jdmsi, Vol. 2, No. 1, P. 702022, 2021.
[6] I. Ilham Et Al., “Sistem Pendukung Keputusan Penerimaan Beasiswa Pada Smk 2 Sojol Menggunakan Metode Ahp,†Vol. 4, 2018.
[7] A. ’ Aro Laia, N. Telaumbanua, M. F. Nainggolan, P. Bimbingan, K. Stkip, And N. Selatan, “Mekanisme Dan Persyaratan Beasiswa Daerah,†2021.
[8] C. Sojow, V. Poekoel, And F. Kambey, “Sistem Pendukung Keputusan Pemilihan Jurusan Dengan Menggunakan Metode Simple Additive Weighting,†Jurnal Teknik Informatika, Vol. 15, No. 2, Pp. 1–7, May 2020.
[9] D. Setiawan And R. Wicaksono, “Penerapan Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Di Cv. Mabertech,†Bulletin Of Applied Industrial Engineering Theory, Vol. 2, No. 1, Pp. 49–54, 2021.
[10] I. G. Sudipa, Suyono, J. Pangaribuan, And A. Efri Trihandoyo, Sistem Pendukung Keputusan. Pt. Mifandi Mandiri Digital, 2023.
[11] W. Ramdhan, W. M. Kifti, W. Datur, And R. Sipahutar, “Penerapan Metode Topsis Pemilihan Role Model Pada Pengadilan Negeri Asahan,†Digital Transformation Technology (Digitech), Vol. 1, No. 1, Pp. 1–8, Jun. 2021, Doi: 10.47709/Briliance.Vxix.Xxxx.
[12] F. R. Darmawan, E. L. Amalia, And U. D. Rosiani, “Penerapan Metode Topsis Pada Sistem Pendukung Keputusan Untuk Kota Yang Menerapkan Pembatasan Sosial Berskala Besar Yang Di Sebabkan Wabah Corona,†Jurnal Sistem Dan Teknologi Informasi (Justin), Vol. 9, No. 2, P. 250, Apr. 2021, Doi: 10.26418/Justin.V9i2.43896.
[13] A. Azahari, P. Pahrudin, And Y. Yunita, “Penerapan Metode Topsis Pada Sistem Pendukung Keputusan Kelayakan Penerima Dana Bantuan Operasional Sekolah,†Building Of Informatics, Technology And Science (Bits), Vol. 4, No. 3, Dec. 2022, Doi: 10.47065/Bits.V4i3.2290.
[14] N. S. Ngaeni And K. Kusnawi, “Analisis Kombinasi Algoritma K-Means Clustering Dan Topsis Untuk Menentukan Pendekatan Strategi Marketing Berdasarkan Background Target Audiens,†Journal Of Computer System And Informatics (Josyc), Vol. 5, No. 2, Pp. 393–403, Feb. 2024, Doi: 10.47065/Josyc.V5i2.4948.
[15] D. R. Sari, A. P. Windarto, D. Hartama, And S. Solikhun, “Decision Support System For Thesis Graduation Recommendation Using Ahp-Topsis Method,†Jurnal Teknologi Dan Sistem Komputer, Vol. 6, No. 1, Pp. 1–6, Jan. 2018, Doi: 10.14710/Jtsiskom.6.1.2018.1-6.
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