Analisis Algoritma Roughset Pada Penerimaan Beasiswa


  • Masrizal Masrizal * Mail Universitas Labuhanbatu, Rantauprapat, Indonesia
  • Angga Putra Juledi Universitas Labuhanbatu, Rantauprapat, Indonesia
  • (*) Corresponding Author
Keywords: Scholarship; BAZNAS; Roughset; Data Mining; Labuhanbatu

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

Download data is not yet available.

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

Dimensions Badge
Article History
Submitted: 2022-07-06
Published: 2022-07-31
Abstract View: 146 times
PDF Download: 153 times
How to Cite
Masrizal, M., & Juledi, A. (2022). Analisis Algoritma Roughset Pada Penerimaan Beasiswa. Journal of Information System Research (JOSH), 3(4), 564-570. https://doi.org/10.47065/josh.v3i4.1820
Issue
Section
Articles