Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection
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Abstract
SMA Dharma Karya as educational institutions annually held the scholarships are given to students based on criteria set by the school. However, in selecting the scholarship still use manual feared scholarships target. So the decision support system built in selecting scholarship learners using weighted product. In this study, using the method of weighted product and simple additive weighting as a comparison. From the results of research on the best methods of weighted product that is on the alternative perengkingan 14 with a total value of 0.0067401308233662 and the best perengkingan SAW method is also on the alternative 14 with a total value of 0.82. The results of a comparison test on the data obtained 263 product value weighted accuracy of 83.03% and a simple additive weighting of 60.45%. Results have the system usability percentage of 85.6% and has been tested BlackBox Addressing that the system can perform properly selecting scholarship recipients.
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[2] M. E. Jumaddin, F. Agus, A. H. Kridalaksana, “Perbandingan metode simple additive weighting dan weighted product untuk pemilihan atlet terbaik pada UKM mulawarman University chess club”, Jurnal Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi, vol. 3, no.2, hlm 50-58, Desember 2018
[3] J. I. Kartika1, E. Santoso, Sutrisno, “Penentuan siswa berprestasi menggunakan metode k-nearest neighbour dan weighted product (studi kasus: SMP negeri 3 Mejayan)”, Jurnal Pengembangan Teknologi Komunikasi dan Ilmu Komputer, vol. 1, no. 5, hal 352-360, Mei 2017.
[4] R. Fauzan, Y. Indrasary, N. Muthia, "Sistem Pendukung Keputusan Penerimaan Beasiswa Bidik Misi di POLIBAN Dengan Metode SAW Berbasis Web", JOIN (Jurnal Online Informatika), vol. 2, no. 2, hal 79-83, Desember 2017.
[5] P. M. Kusumantara, M. Kustyani, T. Ayu, “Analisa perbandingan metode SAW dan WP pada sistem pendukung keputusan pemilihan wedding organizer di Surabaya”, Teknika: Engineering and Sains Journal, vol, 3, no. 1, hal 19-24, Juni 2019.
[6] A. Setyawan, F. Y. Arini, and I. Akhlis, “Comparative analysis of simple adaptive weighting method and weighted product method to new employee recruitment decision support system”, Scientific Journal of Informatics, vol. 4, no. 1, pp 34-42, May 2017.
[7] D. W. T Putra, A. A. Punggara, “Comparison analysis of simple additive weighting (SAW) and weighted product (WP) in decision support system”, The 2nd international conference on technology, innovation, society and science-to-business(ICTIS), vol. 215, no. 5, pp 1-5, October 2018.
[8] Solikhun, A. P. Windarto, and Amri, "Decision support system in predicting the Best teacher with multi atribute decesion making weighted product (MADMWP) method", International Journal of Artificial Intelligence Research, vol. 1, no. 1, pp. 6-10, June 2017.
[9] Triono, W. Usino, S. Lesmana, M. Iqbal, E. A. Setiawan,"Selection of academic achievements scholarship support assistance decision support system", International Journal of Computer Techniques, vol. 5, no. 3, June 2018.
[10] N. Aminudin, E. Sundari, Shankar, P. Deeplakshmi, Fauzi, R. Irvani, A. Maselano, “Weighted product and its application to measure employee performance”, International Journal Of Engineering & Technology, pp 102-108 , vol. 7, issue 2.26, May 2018.
[11] Program Studi Sistem Informasi Fakultas Sains dan Teknologi Universitas Ma Chung. 2018. Studi Kasus Sistem Pendukung Keputusan membahas metode SAW dan Topsis. Malang: CV Seribu Bint