Analisis Algoritma Roughset Pada Penerimaan Beasiswa
Abstract
The BAZNAS Scholarship Institution or LBB is a program and utilization tasked with providing education funds to ensure the continuity of educational programs for underprivileged or poor students as intergenerational accountability. This study aims to find out (1) how is the procedure for distributing zakat funds in the form of scholarships, (2) the obstacles faced in distributing zakat funds in the form of scholarships, (3) the efforts made in overcoming obstacles in distributing zakat funds in the form of scholarships. Collecting data in this study using the method of documentation and interviews. The results of this study indicate that (1) the procedures carried out in providing scholarships are very good, (2) the obstacles experienced in distributing zakat funds in the form of scholarships, namely BAZNAS RantauPrapat City, lack of coordination between BAZNAS and the school, and the amount of scholarship funding have not met educational needs, (3) efforts to overcome these obstacles can be done by good coordination with schools, increasing coordination between BAZNAS and schools, and providing services and facilities for zakat givers.This study aims to analyze the Labuhanbatu Baznas Program in providing scholarships in Labuhanbatu using the Rough Set algorithm. The analysis was carried out based on facts and data obtained at the BAZNAS Rantauprapat office using Rosetta Software for testing. The results of this study produce a rule that can be used to make future decision-making policies during data processing.
Downloads
References
A. Adniyah, R. Agrosamdhyo, and I. Iswahyuni, “Efektivitas Program Beasiswa Satu Keluarga Satu Sarjana (SKSS) BAZNAS Provinsi Bali dalam Meningkatkan Prestasi Akademik di STAI Denpasar Bali,” Widya Balina, vol. 6, no. 2, 2021, doi: 10.53958/wb.v6i2.115.
baznas, “Profil Lembaga Beasiswa Baznas,” beasiswa.baznas.go.id, 2022.
S. Juliwan, “PENGARUH PEMBERIAN BEASISWA BAZNAS TERHADAP MOTIVASI BELAJAR MAHASISWA PRODI PENDIDIKAN AGAMA ISLAM INSTITUT AGAMA ISLAM NEGERI (IAIN) BENGKULU,” e- repository perpustakaan Bengkulu, vol. 7, 2021.
D. Hartama and Hartono, “Analisis kinerja dosen stmik IBBI dengan menggunakan metode rough set,” Seminar Nasional Teknologi Informasi dan Multimedia 2016, 2016.
S. Samaray, “Implementasi Algoritma Rough Set dengan Software Rosetta untuk Prediksi Hasil Belajar,” Jurnal Eksplora Informatika, vol. 11, no. 1, 2022, doi: 10.30864/eksplora.v11i1.498.
N. H. Adi, M. Giatman, W. Simatupang, A. Afrina, and R. Watrianthos, “Penerapan Metode Dijkstra Pada Jalur Distribusi LPG Untuk Penentuan Jarak Terpendek,” Building of Informatics, Technology and Science (BITS), vol. 3, no. 3, pp. 235–243, Dec. 2021, doi: 10.47065/bits.v3i3.1052.
Y. Yao and Y. Zhao, “Attribute reduction in decision-theoretic rough set models,” Information Sciences, vol. 178, no. 17, 2008, doi: 10.1016/j.ins.2008.05.010.
B. Davvaz, I. Mukhlash, and S. Soleha, “Himpunan Fuzzy dan Rough Sets,” Limits: Journal of Mathematics and Its Applications, vol. 18, no. 1, 2021, doi: 10.12962/limits.v18i1.7705.
M. Masrizal and M. H. Munandar, “IDENTIFIKASI SISWA BERMASALAH DENGAN MENGGUNAKAN METODE ROUGH SET (STUDI DI SMA N 4 PARIAMAN),” JURNAL INFORMATIKA, vol. 7, no. 2, pp. 90–99, Nov. 2019, doi: 10.36987/informatika.v7i2.1342.
I. R. Munthe and V. Sihombing, “Klasifikasi Algoritma Iterative Dichotomizer (ID3) untuk Tingkat kepuasan pada Sarana Laboratorium Komputer,” Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP), vol. 1, no. 2, pp. 27–34, Oct. 2018, doi: 10.34012/jutikomp.v1i2.237.
Ilmawati, S.kom, M.kom ,”Penerapan Teknik Artificial Intelligent Rough Set untuk mendukung keputusan pada proses pemeriksaan kondisi penjualan barang pada toko silungkang art centre padang,” jurnal komtekinfo fakultas ilmu Komputer, volume 1, no. 1, juni 2014 issn : 2356-0010.
dedy hartama, hartonoanalisis kinerja dosen stmik ibbi dengan menggunakan metode rough set,” seminar nasional teknologi informasi dan multimedia 2016 stmik amikom yogyakarta, 6-7 februari 2016 issn : 2302-3805
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Analisis Algoritma Roughset Pada Penerimaan Beasiswa
Pages: 564-570
Copyright (c) 2022 Masrizal Masrizal, Angga Putra Juledi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).