Metode Weighted Product dalam Pemilihan Penerima Beasiswa Bagi Peserta Didik

  • Roni Roni UPI YPTK PADANG
  • Sumijan Sumijan Universitas Putra Indonesia YPTK Padang
  • Julius Santony Universitas Putra Indonesia YPTK Padang
Keywords: Decision Support System, Weighted Product Method.

Abstract

Scholarships are one of the factors that can increase learning motivation for students. This scholarship is one of the school programs to help parents of students to ease the burden of education costs of the students. In determining the scholarship recipients who meet the requirements and eligibility at the MA Raudlatul Ulum a decision support system is using the Weighted Product method. Decision making in the Weighted Product method is done by multiplication to connect the rating of each attribute, where the rating of each attribute must be raised by the weight of the attribute in question. In this study there are several criteria used in decision making, namely Average Value, Behavior, Extracurricular, Parent Income, and Dependents of Parents. The research carried out begins with determining the weight of each criterion, then the ranking process is carried out which will produce the most optimal alternative. Based on the results of testing that has been done, it can be concluded that the system is able to provide accuracy of 90% if compared with the results of testing manually.

 

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References

[1] Solikhun (2017),“Perbandingan Metode Weighted Product dan Weighted Sum Model dalam Pemilihan Perguruan Tinggi Swasta Terbaik Jurusan Komputer”, Kumpulan Jurnal Ilmu Komputer, Vol. 4, No. 1, hal. 70-87. https://doi.org/10.20527/klik.v4i1.75
[2] R. Fauzan, Y. Indrasary dan N. Muthia (2017), “Sistem Pendukung Keputusan Penerima Beasiswa Bidik Misi di POLIBAN Dengan Metode SAW Berbasis Web”, JOIN (Jurnal Online Informatika), Vol. 2, No. 2, hal. 79-83. DOI: 10.15575/join.v2i2.101
[3] Budiharjo, A. P. Windarto dan A. Muhammad (2017), “Comparison of Weighted Sum Model and Multi Attribute Decision Making Weighted Product Methods in Selecting the Best Elementary School in Indonesia”, International Journal of Software Engineering and Its Applications, Vol. 11, No. 4, hal. 69-90. http://dx.doi.org/10.14257/ijseia.2017.11.4.06
[4] C. Dewi dan Y. Yulianto (2018),“ Sistem Penyeleksi Penerima Bantuan Beras Miskin Kauman Kidul Menggunakan Metode Weighted Product Berbasis Mobile”, Jurnal Teknik Informatika dan Sistem Informasi, Vol. 4, No. 1, hal. 103-112. http://dx.doi.org/10.28932/jutisi.v4i1.752
[5] E. B. Sambani, Y. H. Agustin dan R. Marlina (2016),”Sistem Pendukung Keputusan Kenaikan Jabatan Karyawan Plaza Asia Dengan Menggunakan Metode Weighted Product”,CSRID Journal, Vol. 8 No. 2, hal. 121-130.
[6] Oktopanda (2017), “A Study Approach of Decission Support System with Profile Matching”, International Journal of Recent Trends in Engineering & Research (IJRTER), Vol. 03, No. 02. ISSN: 2455-1457
[7] N. Aini dan F. Agus (2017),“Penerapan Metode Weighted Product dan Analytic Hierarchy Process untuk Pemilihan Koperasi Berprestasi”, Jurnal Infotel, Vol. 9, No. 2, hal. 220-230. https://doi.org/10.20895/infotel.v9i2.184
[8] Sucipto (2017),“Analisa Hasil Rekomendasi Pembimbing Menggunakan Multi-Attribute dengan Metode Weighted Product”, Fountain of Informatics Journal, Vol. 2, No. 1, hal. 27-31. https://dx.doi.org/10.21111/fij.v2i1.912
[9] S. S. Pandean dan S. Hansun (2018),“Aplikasi Web untuk Rekomendasi Restoran Menggunakan Weighted Product”, Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), Vol. 5, No. 1, hal. 87-94. http://doi.org/10.25126/jtiik.201851626
[10] E. Darwiyanto, B. P. Binawan dan D. Junaedi (2017),“ Aplikasi GIS Klasifikasi Tingkat Kerawanan Banjir Wilayah Kabupaten Bandung Menggunakan Metode Weighted Product”, Ind. Journal on Computing, Vol. 2, No. 1, hal. 59-70. http://dx.doi.org/10.21108/INDOJC.2017.2.1.141
[11] S. Firdyana dan D. Cahyadi dan I. F. Astuti (2017),”Penerapan Metode Weighted Product Untuk Menentukan Penerima Bantuan Beras Masyarakat Miskin (RASKIN)”, Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, Vol. 2, No. 1. e-ISSN 2540-7902 dan p-ISSN 2541-366X
[12] W. A. G. Natasya dan K. Kusnawi (2017),”Decission Support System Design to Decide on the Latest Smartphone Using Analytical Hierarchy Process”, International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE). 978-1-5386-0658-2/17/$31.00
[13] D. W. Wibowo dan E. L. Amalia (2017),”Sistem Pendukung Keputusan Dalam Menentukan Beasiswa Menggunakan Metode Fuzzy Logic (Studi Kasus : Instansi XYZ)”, Jurnal Antivirus, Vol. 11 No. 1. p-ISSN: 1978-5232 e-ISSN: 2527-337X
Published
2019-04-28
Section
Artikel Teknologi Informasi