Penggabungan Metode Fuzzy Simple Additive Weighting dengan Rank Order Centroid sebagai Pendukung Keputusan Penilaian Kemiskinan di Jawa Timur

Wike Nur Wike, Mohammad Nafie Jauhari, Achmad Nasichuddin

Abstract


The purpose of this study is to determine the results of the combination of Fuzzy Simple Additive Weighting with Centroid Rank Order as a support for poverty assessment decisions in East Java Province.  Using a combination of Fuzzy Simple Additive Weighting and Rank Order Centroid is expected to provide better results. Decision support systems can help the government to determine the poverty status of a district or city in poverty reduction. Poverty itself is an important problem in life in many provinces. The problem of poverty triggers social problems that are closely related to the quality of education, crime, hunger, and others, which cause indirect disruption of stability and sustainability. Therefore, a decision support system is needed to make it easier for the government to determine the poorest districts or cities so that the government can aid programs or make strategies to reduce poverty. Fuzzy logic is a method that can be used to overcome uncertainty in decision making. One method in fuzzy logic to overcome uncertainty is to use the Fuzzy Simple Additive Weighting method. In the Fuzzy Simple Additive Weighting method, there is a selection of criteria that will later be weighted based on importance or priority using the Rank Order Centroid method. The criteria used in this study are life expectancy (AHH), literacy rate (AMH), per capita expenditure, and population. The membership function used is the Tringular Fuzzy Number representation. In this study, twenty four rules were given which were obtained from giving different weights to each criterion. So that twenty four of the poorest districts or cities were obtained. Then the final result is the name of the most Regency or City from the twenty four results, namely alternatives twenty seven and twenty eight, namely Sampang Regency and Pamekasan Regency which were entitled to assistance programs from the government.


Keywords


Logika Fuzzy; Sistem Pendukung Keputusan; Kemiskinan; Fuzzy Simple Additive Weighting; Rank Order Centroid; Tringular Fuzzy Number.

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References


A. Yunaldi, “Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC,” J. Media Inform. Budidarma, vol. 3, no. 4, p. 376, 2019, doi: 10.30865/mib.v3i4.1511.

L. N. Zulita, “SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE SAW UNTUK PENILAIAN DOSEN BERPRESTASI (STUDI KASUS DI UNIVERSITAS DEHASEN BENGKULU),” J. Media Infotama, vol. 9, no. 2, 2013.

“Badan Pusat Statistik Indonesia,” 2021.

N. Rahmansyah, S. A. Lusinia, P. Studi, T. Informatika, F. I. Komputer, and S. P. Keputusan, “Analisa Sistem Pendukung Keputusan Kemiskinan Menurut Kabupaten Kota Provinsi Sumatera Barat,” vol. 2, no. 1, pp. 76–82, 2022.

W. Verina, Y. Andrian, and I. F. Rahmad, “Penerapan Metode Fuzzy Saw Untuk Penerimaan Pegawai Baru (Studi Kasus : Stmik Potensi Utama),” Sisfotenika, vol. 5, no. 1, pp. 60–70, 2015.

R. Abdillah, “Implementasi Fuzzy Simple Additive Weighting (SAW) sebagai Pendukung Keputusan pada Beasiswa Penelitian,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 2, no. 1, p. 74, 2017, doi: 10.30998/string.v2i1.1733.

A. H. Sri Kusumadewi. Sri Hartanti, “Fuzzy Multi-Attribute Decision Making (FUZZY MADM),” Matematika, vol. 85, no. 1, pp. 2071–2079, 2006.

R. Helilintar, W. W. Winarno, and H. Al Fatta, “Penerapan Metode SAW dan Fuzzy Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa,” Creat. Inf. Technol. J., vol. 3, no. 2, p. 89, 2016, doi: 10.24076/citec.2016v3i2.68.

R. I. Borman, M. Mayangsari, and M. Muslihudin, “Sistem Pendukung Keputusan Menentukan Lokasi Perumahan Di Pringsewu Selatan Menggunakan Fuzzy Multiple Attribute Decision Making,” Jtksi, vol. 01, no. 01, pp. 5–9, 2018.

R. T. Utami, D. Andreswari, and Y. Setiawan, “Implementasi Metode Simple Additive Weighting (SAW) dengan pembobotan Rank Order Centroid(ROC) Dalam Pengambilan Keputusan Untuk Seleksu Jasa Leasing Mobil,” J. Rekursif, vol. 4, no. 2, pp. 209–221, 2016.

D. A. Syahminati and Elfizar, “Sistem Pendukung Keputusan Promosi Jabatan Pegawai Menggunakan Metode Simple Additive Weighting (SAW),” Syria Stud., vol. 7, no. 1, pp. 1–13, 2020.

H. Ahyar et al., Buku Metode Penelitian Kualitatif & Kuantitatif, no. March. 2020.

Kholik, “Perbandingan Metode Simple Additive Weighting Dan Fuzzy Simple Additive Weighting Pada Sistem Pendukung Keputusan Pemilihan Karyawan Telada Di Perhutani KBM Pemasaran Randublatung,” JATMIKA, pp. 1–6, 2022.

A. Supriyatna and D. Ekaputra, “Metode Fuzzy Simple Additive Weighting ( Saw ) Dalam Pemilihan Ketua Osis,” J. PETIR, vol. 10, no. 1, pp. 71–76, 2017.

R. N. P. Atmojo, Anindito, B. Pardamean, B. S. Abbas, A. D. Cahyani, and I. D. Manulang, “Fuzzy simple additive weighting based, decision support system application for alternative confusion reduction strategy in smartphone purchases,” Am. J. Appl. Sci., vol. 11, no. 4, pp. 666–680, 2014, doi: 10.3844/ajassp.2014.666.680.




DOI: https://doi.org/10.18860/jrmm.v3i1.22340

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