Analisis Perbandingan Metode Fuzzy Logic Dan Metode SAW Dalam Pemilihan Keluarga Penerima Bantuan Sosial

Siti Ma'rifatul Latifah; Dwi Agus Diartono

doi:10.30591/jpit.v8i3.5374

Analisis Perbandingan Metode Fuzzy Logic Dan Metode SAW Dalam Pemilihan Keluarga Penerima Bantuan Sosial

Siti Ma'rifatul Latifah, Dwi Agus Diartono

Abstract

Ensuring and fulfilling the needs of the community is
a form of government responsibility to reduce existing social
inequalities. One of the efforts that the government has made is
to provide social assistance through the Non-Cash Food
Assistance program. However, the process of selecting recipients
of social assistance is often not on target. For this reason, it is
necessary to build a system that is able to support in determining
decisions for the selection of families receiving social assistance.
To help the selection process of social assistance recipients, of
course, it must use the right and appropriate method so that the
selection process produces social assistance recipients who really
deserve assistance. The selection process in this study uses two
decision support methods, namely Fuzzy Logic and Simple
Additive Weighting (SAW) and has conducted accuracy tests on
both methods against the suitability of recipient eligibility data,
so that it can be seen which method has the highest level of
accuracy in the selection of social assistance recipients. The
results of the accuracy test carried out in this study are that both
methods produce the same high level of accuracy in the
suitability of prospective recipient eligibility results, namely
100%, this means that both methods can be used in determining
recipients of social assistanc.

Keywords

Bantuan Sosial, Fuzzy Logic, SAW

Full Text:

References

W. Rahmansyah, R. A. Qadri, R. R. A. Sakti, and S. Ikhsan, “Pemetaan Permasalahan Penyaluran Bantuan Sosial Untuk Penanganan Covid-19 Di Indonesia,” J. Pajak dan Keuang. Negara, vol. 2, no. 1, pp. 90–102, 2020, doi: 10.31092/jpkn.v2i1.995.

D. M. Hasimi, “Analisis Program Bantuan Pangan Non Tunai (Bpnt) Guna Meningkatkan Kesejahteraan Masyarakat Dalam Perspektif Ekonomi Islam,” REVENUE J. Manaj. Bisnis Islam, vol. 1, no. 01, pp. 61–72, 2020, doi: 10.24042/revenue.v1i01.5762.

S. Silvilestari, “Decision Support System Promotion Criteria For Increasing Sales of Randang Minang Hj. Fatimah Uses Fuzzy Sugeno,” IJISTECH (International J. Inf. Syst. …, vol. 6, no. 158, pp. 1–8, 2022, [Online]. Available: https://ijistech.org/ijistech/index.php/ijistech/article/view/206%0Ahttps://ijistech.org/ijistech/index.php/ijistech/article/download/206/206

M. Yasin Simargolang and H. Saidah Tamba, “Sistem Pendukung Keputusan Menggunakan Metode Fuzzy Sugeno Untuk Menentukan Calon Presiden Mahasiswa Di Universitas Asahan,” J. Teknol. Inf., vol. 2, no. 2, pp. 122–128, 2018.

R. P. Sari and M. R. Darmawan, “Sistem Pendukung Keputusan Pemilihan Bahan Bakar Sepeda Motor Matic Mengunakan Metode Simple Additive Weighting (SAW),” J. Sist. Komput. dan Inform., vol. 2, no. 3, p. 311, 2021, doi: 10.30865/json.v2i3.3028.

Fatkhurrochman and D. Astuti, “Analisis Perbandingan Metode Topis Dan Saw Dalam Penentuan Penerima Bantuan Pengembangan Rumah Masyarakat Kurang Mampu,” Semnasteknomedia Online, vol. 6, no. 1, pp. 2-8–67, 2018, [Online]. Available: https://ojs.amikom.ac.id/index.php/semnasteknomedia/article/view/1980

P. M. Kusumantara, “Analisis Perbandingan Metode Saw Dan Ahp Pada Sistem Pendukung Keputusan Pemilihan Platform Media Pembelajaran Daring,” SCAN - J. Teknol. Inf. dan Komun., vol. 16, no. 2, pp. 1–6, 2021, doi: 10.33005/scan.v16i2.2619.

P. M. Kusumantara, M. Kustyani, and T. Ayu, “Pendukung Keputusan Pemilihan Wedding Organizer Di,” Tek. Eng. Sains J., vol. 3, no. I, pp. 19–24, 2019.

H. Wu and Z. S. Xu, “Fuzzy Logic in Decision Support: Methods, Applications and Future Trends,” Int. J. Comput. Commun. Control, vol. 16, no. 1, pp. 1–28, 2021, doi: 10.15837/ijccc.2021.1.4044.

Erich, Destiarini, and A. Rahman, “Sistem Pendukung Keputusan Kemampuan Akademik Mahasiswa Menggunakan Metode Logika Fuzzy,” Intech Inform. dan Teknol., vol. 1, no. 2, pp. 14–19, 2020.

F. A. Mustika, “Metode Fuzzy Sugeno untuk Penilaian Kinerja Guru SMK Tamansiswa 3 Jakarta,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 6, no. 1, p. 16, 2021, doi: 10.30998/string.v6i1.8817.

T. Tajrin and I. Rusydi, “Sistem Pendukung Keputusan Dalam Menentukan Kualitas Bibit Kelapa Sawit Menggunakan Algoritma Fuzzy Sugeno,” Syntax J. Softw. Eng. Comput. Sci. Inf. Technol., vol. 3, no. 2, pp. 216–222, 2022, doi: 10.46576/syntax.v3i2.2630.

R. Purba and H. T. Sihotang, “Decision Support Systems Recipient Program Keluarga Harapan (PKH) In Durian Kec.Pantai Labu Kab. Deli Serdang with the Simple Additive Weighting (SAW) Method,” J. Mantik, vol. 3, no. November, pp. 91–98, 2019.

F. Sembiring, M. T. Fauzi, S. Khalifah, A. K. Khotimah, and Y. Rubiati, “Sistem Pendukung Keputusan Penerima Bantuan Covid 19 menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus : Desa Sundawenang),” Explor. Sist. Inf. dan Telemat., vol. 11, no. 2, p. 97, 2020, doi: 10.36448/jsit.v11i2.1563.

W. Apriani, “Decision Support System for Determining the Best Homeroom Teacher at SMA Negeri 1 Perbaungan Using the Simple Additive Weighting Method,” vol. 13, no. 1, pp. 38–46, 2022.

DOI: https://doi.org/10.30591/jpit.v8i3.5374