Sistem Pendukung Keputusan Penentuan Keluarga Miskin Menggunakan Metode Fuzzy Tsukamoto
Abstract
The government, in this case the ministry of national development planning the Republic of Indonesia/national development planning agency has tried to reduce poverty in each region. With articulated the various poverty alleviation programmes, including the presence of cluster I, cluster II, cluster III and cluster IV. Social assistance programs launched by the Government, in particular the first Cluster program got more attention from the citizens of society. There are 14 poverty criteria, which became the reference of criteria for Badan Pusat Statistik (BPS) in determining the poor families that eligible to receive aid from the Government. Poor and not poor membership has a value of 0 and 1, were in fact, poverty has different levels. Determination of the poverty program at this time there is a problem in terms of decision-taking which there are to many subjectivity, for example which is not poor is said to be poor in the data recording/logging. In this paper, a computerized system for determining of a poor family. The method used in this studyis developed Fuzzy Tsukamoto. Tsukamoto Fuzzy method used in the process of selection by holding against 14 criteria. Output of the system can facilitate the Management of the village in taking decisions to determine the recipients of the aid programs initiated by the Governmen. The results based on the accuracy test that has been carried out using a data sample of 7 RUTA, the results obtained are 0.568 (very poor), 0.684 (poor), 0.506 (very poor), 0.697 (poor), 0.577 (very poor), 0.609 (poor). ), and 0.625 (poor). The poverty rate (Fuzzy Results) with Recommendations (Expert Validation) show the same results or results so that the Fuzzy Tsukamoto method can be applied well in poor families in Darmaji Village.
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References
BAPPENAS, "Laporan Akhir Evaluasi Pelayanan Keluarga Berencana Bagi Masyarakat Miskin (Keluarga Prasejahtera/KPS dan Keluarga Sejahtera–I/KS-I," BAPPENAS, 2012.
Badan Pusat Statistik, "Analisis Perkembangan Statistik Ketenagakerjaan," Badan Pusat Statistik, Jakarta, 2008.
Abidatul Izzah and R Widyastuti, "Prediksi Kelulusan Mata Kuliah Menggunakan Hybrid Fuzzy Inference System," Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 2, no. 2, pp. 60-67, Juli 2016.
D A Astika, D Nugroho, T Irawati, "Sistem Pendukung Keputusan Penerimaan Beras Untuk Keluarga Miskin Menggunakan Metode Simple Additive Weighting di Kantor Kepala Desa Gumpang," Jurnal TIKomSiN, vol. 6, no. 1, pp. 50-57, April 2018.
G Y K S S Pahu, L R Putri, Nungsiyati, R Renaldo, "Sistem Pendukung Keputusan Menentukan Calon Penerima Raskin Menggunakan Metode Simple Additive Weighting," Jurnal TEKNOINFO, vol. 12, no. 2, pp. 82-86, Juli 2018.
H WA Prayogo, L Muflikhah, S HWijoyo, "Implementasi Metode Simple Additive Weighting (SAW) Untuk Penentuan Penerima Zakat," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 11, pp. 5877-5883, November 2018.
S Riyadi, T Haryanti, L Kurniawati, "Sistem Pendukung Keputusan Penentuan Rumah Tangga Miskin Pada Desa Cibangkong Dengan metode WASPAS," Jurnal RISET INFORMATIKA, vol. 1, no. 4, pp. 197-204, September 2019.
L Nugroho, A Hamzah, Suraya, "Sistem Pendukung Keputusan Penentuan Keluarga Miskin Menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus: Desa Manisharjo, Ngrambe, Ngawi)," Jurnal SCRIPT, vol. 7, no. 2, pp. 176-184, Desember 2019.
W Kaswidjanti, A, S Ariwibowo, and C, B Wicaksono, "Implementasi Fuzzy Interface System Metode Tsukamoto Pada Pengambilan Keputusan Pemberian Kredit Pemilikan Rumah," Telematika, vol. 10, no. 2, pp. 137-146, 2014.
R Akbar, S Uyun, "Penentuan Bantuan Siswa Miskin Menggunakan Fuzzy Tsukamoto dengan Perbandingan Rule pakar dan Decision Tree (Studi Kasus : SDN 37 Bengkulu Selatan), " Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 8, no. 4, pp. 651-662, Agustus 2021.
A Saputra, D Kartini, and O Soesanto, "Rancang Bangun Sistem Pendukung Keputusan Penentuan Keluarga Miskin," Kumpulan jurnaL Ilmu Komputer (KLIK), vol. 2, no. 1, pp. 84-95, 2015.
Rohmat Taufiq, "Rancang Bangun Sistem Pendukung Keputusan Penentuan Jumlah Produksi Menggunakan Metode Fuzzy Tsukamoto," Jurnal Teknik, vol. 8, no. 1, pp. 6-10, Juni 2019.
Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), "Penetapan Solusi Masalah Kepesertaan dan Pemutakhiran Data Penerima KPS," 2013.
B Sutara, H Kuswanto, "Analisa Perbandingan Fuzzy Logic Metode Tsukamoto, Sugeno, Mamdani dalam Penentuan Keluarga Miskin," Jurnal Infotekmesin, vol.10, no.02, pp. 38-49, Juli 2019.
A Mardiana, D Zalilludin, Dfitriani, "Sistem Pendukung Keputusan Penentuan Keluarga Miskin Menggunakan Logika Fuzzy Tsukamoto," INFOTECH journal, vol. 6, no. 2, Desember 2020.
Auzi Asfarian, Yeni Herdiyeni, Aunu Rauf, and Kikin Hamzah Mutaqin, "Paddy diseases identification with texture analysis using fractal descriptors based on fourier spectrum," in Computer, Control, Informatics and Its Applications (IC3INA), 2013 International Conference on, Jakarta, 2013, pp. 77-81
O S Purwaningrum, N Nafi’’iyah, K F Mauladi," Penerapan Metode Fuzzy Tsukamoto dan AHP Untuk Sistem Pendukung Keputusan Bantuan Siswa Miskin Pada Smk Muhammadiyah 1 Lamongan," J-TIIES, vol. 1, no. 1, September 2017.
Sri Widaningsih, "Analisis Perbandingan Metode Fuzzy Tsukamoto, Mamdani dan Sugeno dalam Pengambilan Keputusan Penentuan Jumlah Distribusi Raskin di Bulog Sub. Divisi Regional (Divre) Cianjur," Jurnal Informatika dan Manajemen STMIK, vol. 11, no. 1, Mei 2017.
Nurdina Rasjid, "Sistem Pendukung Keputusan Seleksi Keluarga Miskin Menggunakan Metode Fuzzy Multi Criteria Decision Making (FMCDM)," Inspiration : Jurnal Teknologi Informasi dan Komunikasi, vol. 12, no. 1, pp. 109-118, Juni 2022.
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