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All Journal Techno.Com: Jurnal Teknologi Informasi Indonesian Journal of Artificial Intelligence and Data Mining Insect (Informatics and Security) : Jurnal Teknik Informatika Jurnal Eksplora Informatika Martabe : Jurnal Pengabdian Kepada Masyarakat Informatik : Jurnal Ilmu Komputer To Maega: Jurnal Pengabdian Masyarakat Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Teknik Informatika (JUTIF) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Journal of Computer and Information System (J-CIS) Jurnal Minfo Polgan (JMP) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sintaks Logika (JSilog) Ceddi Journal of Education Jurnal Pengabdian Pada Masyarakat Nobel Community Services Journal
Arifin, Nurhikma
Universitas Sulawesi Barat
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Journal : Ceddi Journal of Education

 1 
Implementation of Decision Support System for Scholarship Recipients at Bank Indonesia Dian Megah Sari; Nurhikma Arifin; Nurfitrianingsih; Andi M Yusuf
Ceddi Journal of Education Vol. 1 No. 1 (2022): June
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (596.848 KB) | DOI: 10.56134/cje.v1i1.10

Abstract

The Bank Indonesia Scholarship is a Bank Indonesia social program in the form of tuition assistance for undergraduate students (S1) at various State Universities (PTN). However, often in terms of determining scholarship recipients it is not right on target, this is caused because the scholarship award has not used the tools or methods used to determine scholarship recipients, for that a system is designed to determine scholarship recipients. The selection process for Bank Indonesia Scholarships requires accuracy and a long time because each student data will be compared one by one according to predetermined criteria and is also prone to accidental human errors. Meanwhile, Bank Indonesia has not determined a method to help select prospective scholarship recipients and the selection process is still carried out manually by comparing the student data of prospective scholarship recipients one by one, for this reason, the application of the algorithm in this study is to combine the Fuzzy Multiple Decision Making (FMAM) method and Simple Additive Weighting (Saw) with provisions and criteria that have been determined by Bank Indonesia. The FMADM method is used to find alternatives from a number of alternatives with predetermined criteria and the SAW method is used to rank the existing alternatives. The results of this study are used as a tool in making decisions to recommend scholarship recipients.
Implementation of Decision Support System for Scholarship Recipients at Bank Indonesia Megah Sari, Dian; Arifin, Nurhikma; Nurfitrianingsih; Yusuf, Andi M
Ceddi Journal of Education Vol. 1 No. 1 (2022): June
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/cje.v1i1.10

Abstract

The Bank Indonesia Scholarship is a social program by Bank Indonesia that provides tuition assistance for undergraduate students at various State Universities (PTN). However, the process of determining scholarship recipients has often been inaccurate, primarily because the selection process has not utilized systematic tools or methods. To address this issue, a system has been designed to enhance the accuracy of scholarship recipient selection. The selection process requires precision and is time-consuming, as each student's data must be compared according to predetermined criteria, making it susceptible to human error. Currently, Bank Indonesia has not implemented a method to facilitate the selection of potential scholarship recipients, relying instead on manual comparisons. This study introduces the application of the Fuzzy Multiple Attribute Decision Making (FMADM) method combined with Simple Additive Weighting (SAW) to improve the selection process. The FMADM method is employed to identify the best alternatives from a set of options based on predefined criteria, while the SAW method is used to rank these alternatives. The findings of this study serve as a decision-making tool to recommend scholarship recipients, contributing to the development of knowledge in the field of decision support systems. By integrating these methods, the research advances the accuracy and efficiency of scholarship selection processes, offering a model that can be adapted for similar contexts in educational funding and beyond.
Co-Authors Al Farisiy, Salman Amalia Chairy Amirullah, Indrabayu Anaguna, Nursyam Andi M Yusuf Areni, Intan Sari Astinawaty, Astinawaty Chairi Nur Insani Dian Megah Sari Dian Megah Sari Dian Megah Sari Farid Wajidi Fauziah Fauziah Firgiawan, Wawan Heliawaty Hamrul Heri, Adi Iin Indriani Indra Indra Indra Indrabayu Indrabayu Insani, Chairi Nur Intan Sari Areni Ismail Johari, Putri Fausyah Juprianus Rusman Maratuttahirah Maulidia, Ulfa Megah Sari, Dian Milasari Milasari Muh Rafli Rasyid Muhammad Furqan Rasyid Muhammad Furqan Rasyid Musyrifah Muzaki Muzaki Nilam Cahya Nurdina Rasjid Nurfitrianingsih Nurfitrianingsih Nurmadinah, Nurmadinah Prihastinur Rachmini, Siti Aulia Rasyid, Muh. Rafli Sari, Dian Megah Siti Aulia Rachmini Sulfayanti Sulpiana Syam, Nur Aini Upa, Samrius Utama, Muhammad Surya Alif Wawan Firgiawan Yusuf, Andi M