Kombinasi Analytical Network Process (ANP) dan Technique For Others Reference by Similarity to Ideal Solution (TOPSIS) untuk Menentukan Penerima Bantuan Rastra
Main Article Content
Abstract
The problem of poverty is still a priority for the Indonesian government. The Indonesian government has launched several programs to assist in alleviating poverty, one of which is the rice program for prosperous families, called Rastra. In the implementation of the Rastra program, it should be carried out objectively so that the distribution of the program can be right on target, but there are still problems in determining the recipients and the accuracy of the distribution of Rastra program. This study aims to combine the ANP and TOPSIS methods in helping to provide recommendations for recipients of Rastra program, besides that in this study also measuring the level of accuracy between the implementation carried out with the real data. In this study, a combination of ANP and TOPSIS methods was used in decision making. The ANP method is used to determine the weight of the criteria used, while the TOPSIS method is used to determine the recommendations for recipients of the Rastra program. The accuracy test was carried out in 13 villages in the Gunung Megang, Muara Enim. The results of the tests carried out obtained an average of 84.10%. This shows that the combination of these two methods can be applied as a solution in providing recommendations for recipients of the Rastra program.
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How to Cite
Yunita, Y., Efendi, R., & Hardanita, E. (2021). Kombinasi Analytical Network Process (ANP) dan Technique For Others Reference by Similarity to Ideal Solution (TOPSIS) untuk Menentukan Penerima Bantuan Rastra. JUSIFO (Jurnal Sistem Informasi), 7(1), 42-50. https://doi.org/10.19109/jusifo.v7i1.8440
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How to Cite
Yunita, Y., Efendi, R., & Hardanita, E. (2021). Kombinasi Analytical Network Process (ANP) dan Technique For Others Reference by Similarity to Ideal Solution (TOPSIS) untuk Menentukan Penerima Bantuan Rastra. JUSIFO (Jurnal Sistem Informasi), 7(1), 42-50. https://doi.org/10.19109/jusifo.v7i1.8440
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Berlilana, B., Prayoga, F. D., & Utomo, F. S. (2018). Implementasi Simple Additive Weighting dan Weighted Product pada Sistem Pendukung Keputusan untuk Rekomendasi Penerima Beras Sejahtera. Jurnal Teknologi Informasi Dan Ilmu Komputer, 5(4), 419–426. https://doi.org/10.25126/jtiik.201854768
Dewi, A. P., & Ariyanto, R. (2017). Pengembangan Sistem Pendukung Keputusan untuk Penentuan Penerima Bantuan Raskin dengan Menggunakan Metode TOPSIS. Jurnal Informatika Polinema, 2(1), 18–23. https://doi.org/10.33795/jip.v2i1.49
Gunawan, C. E. (2020). Penerapan Metode TOPSIS untuk Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap (Studi Kasus: PT Hanuraba Sawit Kencana). JIKO (Jurnal Informatika Dan Komputer), 3(1), 42–50. https://doi.org/10.33387/jiko.v3i1.1722
Hanifah, I. N. (2014). Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Dengan Simple Additive Weighting. Jurnal Teknik Elektro, 6(1), 45. https://journal.unnes.ac.id/nju/index.php/jte/article/view/3575
Iriani, Y., & Herawan, T. (2012). Pemilihan Supplier Bahan Baku Benang dengan Menggunakan Metode Analytic Network Process (ANP) (Studi Kasus Home Industry Nedy). Simposium Nasional RAPI XI FT UMS, 85–90. http://publikasiilmiah.ums.ac.id/handle/11617/3911
Kuryanti, S. J., & Indriyani, N. (2016). Penentuan Bonus pada Karyawan dengan Menggunakan Metode Analytic Network Process (Studi Kasus: PT Asahimas Flat Glass, Jakarta). Prosiding Semnastek, 0(0), 1–9. https://jurnal.umj.ac.id/index.php/semnastek/article/view/786
Puspitasari, W. D., & Ilmi, D. K. (2016). Sistem Pendukung Keputusan Pemilihan Dosen Berprestasi Menggunakan Metode Analytical Hierarchy Process (AHP). Antivirus : Jurnal Ilmiah Teknik Informatika, 10(2). https://doi.org/10.35457/antivirus.v10i2.163
Rachman, B., Agustian, A., & Wahyudi, N. (2018). Efektivitas dan Perspektif Pelaksanaan Program Beras Sejahtera (Rastra) dan Bantuan Pangan Non-Tunai (BPNT). Analisis Kebijakan Pertanian, 16(1), 1. https://doi.org/10.21082/akp.v16n1.2018.1-18
Sari, H. N., & Fatmawati, A. (2019). Sistem Pendukung Keputusan Rekomendasi Penentu Beras Miskin Menggunakna Metode SAW dan TOPSIS. Jurnal Mitra Manajemen, 3(1), 96–108. https://doi.org/10.52160/ejmm.v3i1.185
Sarwono, D. (2020). Sistem Pendukung Keputusan Penerima Program Subsidi RASTRA dengan Metode Simple Additive Weighting (SAW). Emitor: Jurnal Teknik Elektro, 20(1), 40–46. https://doi.org/10.23917/emitor.v20i1.8480
Sumiyatun, S., & Wardoyo, R. (2016). Kombinasi Metode ANP dan TOPSIS dalam Menentukan Prioritas Media Promosi Perguruan Tinggi (Studi Kasus: STMIK Akakom Yogyakarta). JIKO (Jurnal Informatika Dan Komputer), 1(2). https://doi.org/10.26798/jiko.2016.v1i2.34
Sunarti, S. (2019). Perbandingan Metode Saw Dan Topsis Dalam Pemilihan Tujuan Wisata di Jawa Barat. Techno.Com, 18(1), 76–87. https://doi.org/10.33633/tc.v18i1.2098
Wahid, S. I., Jamil, M., & Tempola, F. (2019). Sistem Pendukung Keputusan Kelayakan Penerimaan Bantuan Beras Sejahtera (Rastra) Dengan Menggunakan Metode Weighted Product. PROtek, 6(2), 68–72. https://doi.org/10.33387/protk.v6i2.1216
Windarto, A. P. (2017). Implementasi Metode TOPSIS dan SAW dalam Memberikan Reward Pelanggan. KLIK - Kumpulan Jurnal Ilmu Komputer, 4(1), 88–101. http://klik.ulm.ac.id/index.php/klik/article/view/73