Sistem Pendukung Keputusan Seleksi Data Terpadu Kesejahteraan Sosial Menggunakan Metode K-Means dan SAW

 (*)Tutus Praningki Mail (Universitas Pignatelli Triputra, Surakarta, Indonesia)
 Moyo Hady Poernomo (Universitas Pignatelli Triputra, Surakarta, Indonesia)
 Ignasius Boli Suban (Universitas Pignatelli Triputra, Surakarta, Indonesia)

(*) Corresponding Author

Submitted: September 28, 2023; Published: December 31, 2023

Abstract

Indonesia as a developing country cannot be free from problems related to poverty, Some people still have income that is not sufficient for a decent life. The Indonesian government has several programs that are useful for reducing poverty, namely the Bantuan Pangan Non Tunai (BPNT) atau Program Keluarga Harapan (PKH). Often in the process of distributing aid there are obstacles or problems, the obstacle that often arises is determining the right family to receive assistance. Sub-districts or villages are at the forefront of the data collection process and selection for recommendation into the Data Terpadu Kesejahteraan Sosial (DTKS). This research aims to develop an application product that can help the Ngronggo Kediri sub-district to accurately determine which families are entitled to assistance. The K-Means and SAW methods are used to determine which families are included in the DTKS. The K-Means method is used for the clustering process and SAW is used for the weighting process. The final weight shows that the highest recommended family weight is 91,2%, and the lowest is 51.4%.

Keywords


K-Means; SAW; Decision Support System; Social Funds; DTKS

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References

W. Rahmansyah, R. A. Qadri, R. R. A. Sakti, and S. Ikhsan, “PEMETAAN PERMASALAHAN PENYALURAN BANTUAN SOSIAL UNTUK PENANGANAN COVID-19 DI INDONESIA,” Jurnal Pajak dan Keuangan Negara (PKN), vol. 2, no. 1, 2020, doi: 10.31092/jpkn.v2i1.995.

N. Noerkaisar, “Efektivitas Penyaluran Bantuan Sosial Pemerintah untuk Mengatasi Dampak Covid-19 di Indonesia,” Jurnal Manajemen Perbendaharaan, vol. 2, no. 1, 2021, doi: 10.33105/jmp.v2i1.363.

M. Huzaifa and E. Refianti, “Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Dana Desa Menggunakan Metode Smart,” MULTINETICS, vol. 7, no. 2, 2022, doi: 10.32722/multinetics.v7i2.4252.

I. Darmayanti, K. Kusrini, and A. Nasiri, “Penerapan Metode Simple Additive Weighting (SAW) Dalam Menentukan Keluarga Miskin Di Banyumas,” Jurnal Ilmiah IT CIDA, vol. 4, no. 2, 2019, doi: 10.55635/jic.v4i2.85.

B. Harpad and S. Salmon, “PENERAPAN METODE AHP DAN METODE TOPSIS DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ASISTEN LABORATORIUM KOMPUTER PADA STMIK WIDYA CIPTA DHARMA SAMARINDA,” Sebatik, vol. 19, no. 1, 2018, doi: 10.46984/sebatik.v19i1.92.

L. Nugroho and A. Hamzah, “Sistem Pendukung Keputusan Penentuan Keluarga Miskin Menggunakan Metode Simple Additive Weighting (Saw) (Studi Kasus: Desa Manisharjo, Ngrambe, Ngawi),” Ejournal.Akprind.Ac.Id, vol. 7, no. 2, 2019.

M. F. Tika, “Sistem Pendukung Keputusan Seleksi Penerima Program Bantuan Sosial Menggunakan Metode SAW,” Emitor: Jurnal Teknik Elektro, vol. 21, no. 2, 2021, doi: 10.23917/emitor.v21i2.13956.

A. Rizaldy, “Perancangan Sistem Pendukung Keputusan Penerima Bantuan Sosial Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Web,” OKTAL: Jurnal Ilmu Komputer dan Sains, vol. 1, no. 04, 2022.

P. P. Putra et al., “Sistem Pendukung Keputusan Penentuan Penerima BLT Menggunakan Metode SAW,” Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 4, no. 2, 2022, doi: 10.47233/jteksis.v4i1.457.

E. Juliana, V. N. Aleyda, and Y. Yuliana, “Penerapan Metode Clustering K-Means Untuk Membantu Menentukan Tingkatan Status Daerah Dampak Covid-19,” Jurnal MediaTIK, vol. 4, no. 3, 2021, doi: 10.26858/jmtik.v4i3.23698.

A. Franklyn and Y. Nataliani, “PENGELOMPOKAN PERFORMA PEMAIN BASKET DENGAN SELEKSI FITUR NILAI STATISTIK MENGGUNAKAN K-MEANS DAN FUZZY C-MEANS,” IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi, vol. 1, no. 3, 2022, doi: 10.24246/itexplore.v1i3.2022.pp166-178.

Y. Yunita, R. Effendi, and D. P. Rini, “Metode K-Means & SAW dalam Seleksi Penerima Dana Zakat pada Badan Amil Zakat,” Teknomatika, vol. 9, no. 2, 2019.

Sugiyono, “Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfabeta. Bandung.,” E-Jurnal Ekonomi danBisnis Universitas Udayana, vol. 11, 2018.

M. A. Zakariah, V. Alfriani, and KH. M. Zakariah, Metodologi Penelitian Kualitatif, Kuantitatif, Mix Method, Research and Development. 2020.

J. Ha, M. Kambe, and J. Pe, Data Mining: Concepts and Techniques. 2011. doi: 10.1016/C2009-0-61819-5.

W. Ilham, T. E. Putri, P. Sokibi, and Kusnadi, “Application of Fuzzy Multy Attribute Decision-Making Method in Decision-Making System for Determining the Provision of Achievement Scholarship in SMPN 1 Simpati,” in Journal of Physics: Conference Series, 2020. doi: 10.1088/1742-6596/1641/1/012052.

R. S. Pressman, Rekayasa Perangkat Lunak. Yogyakarta: ANDI, 2010.

K. Sosial, “PERATURAN MENTERI SOSIAL REPUBLIK INDONESIA NOMOR 3 TAHUN 2021 TENTANG PENGELOLAAN DATA TERPADU KESEJAHTERAAN SOSIAL,” Kementerian Sosial, 2021.

L. A. Sulasmini and I. K. J. Arta, “Seleksi Penerima Bantuan Pangan Non Tunai Untuk Keluarga Kurang Mampu Di Desa Sepang Dengan Metode Simple Additive,” Jurnal Manajemen dan Teknologi …, vol. 12, no. 2, 2022.

Eko Prasetyo, Data Mining : Konsep Dan Aplikasi Menggunakan Matlab. 2013. doi: 10.1017/CBO9781107415324.004.

K. P. Niemietz, “A New Understanding of Poverty,” SSRN Electronic Journal, 2021, doi: 10.2139/ssrn.3922142.

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