Penentuan Penerima Bantuan Pangan Non Tunai (BPNT) Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA)

Ahmad Yanda(1), Mesran Mesran(2*),

(1) Universitas Budi Darma, Medan
(2) Universitas Budi Darma, Medan
(*) Corresponding Author

Abstract


Non-Cash Food Assistance (BPNT) is something that is made as assistance in the form of food, to help the community, especially in social services that are given to the community in a non-cash way or called electronic money whose source is the government and is given to underprivileged families or beneficiary families. (KPM). This assistance is distributed every month using a card and exchanged at e-Warong. The result of the exchange is food or in the form of rice, milk, instant noodles etc. In the process of selecting candidates for BPNT assistance, it will be very difficult if it is decided manually. Therefore, a system called DSS is needed. Decision Support System (DSS) is a stage in finding a solution to a problem where the process is carried out using a solution according to how the computer works. DSS can work optimally if using the method. In this study, the authors chose the Multi-Objective Optimization Method on The Basic of Ratio Analysis (MOORA) which is a method that can be used in the completion and completion process of the DSS. This method has a working procedure that uses mathematical calculations. The results of this study were obtained as the best candidate for the recipient of BPNT funds, alternative A4 on behalf of Jefri with a value of 0.2362 as the first rank

Keywords


DSS; BPNT Fund; Multi Objective Optimization on the Basis of Ratio Analysis

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References


Y. Ali and Aprina, Penerapan Metode Preference Selection Index ( PSI ) Dalam Pemberian Dana BOS Pada Siswa Kurang Mampu, Semin. Nas. Teknol. Komput. Sains, no. 1, pp. 590597, 2019, [Online]. Available: https://prosiding.seminar-id.com/index.php/sainteks/article/view/203/198.

Tim Pengendali Pelaksanaan Penyaluran Bantuan Sosial Secara Non Tunai, Pedoman Umum Bantuan Pangan Nontunai 2019, pp. 1174, 2019.

T. L. E Turban, JE Aronson, Decision Support System and Intelligent Systems, US Prentice-Hall, 2005.

G. Ginting, A. Putera, U. Siahaan, and R. Rahim, Technical Approach of TOPSIS in Decision Making, Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 5864, 2017, doi: 10.23883/ijrter.2017.3388.wpyuj.

P. Karande, E. K. Zavadskas, and S. Chakraborty, A study on the ranking performance of some MCDM methods for industrial robot selection problems, Int. J. Ind. Eng. Comput., vol. 7, no. 3, pp. 399422, 2016, doi: 10.5267/j.ijiec.2016.1.001.

N. Nurjannah, Z. Arifin, and D. M. Khairina, Sistem Pendukung Keputusan Pembelian Sepeda Motor Dengan Metode Weighted Product, Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 10, no. 2, p. 20, 2015, doi: 10.30872/jim.v10i2.186.

Y. Siagian, Seleksi Penerimaan Karyawan Baru Menggunakan, J. Mantik Penusa, vol. 2, no. 1, pp. 6570, 2018.

M. W. Sari and O. Alexander, Sistem Pendukung Keputusan Pemilihan Sepatu Pada Online Shop Choice Fashion Dengan Menggunakan Metode Moora, vol. 5, no. 1, pp. 4352, 2021.

R. K. Hondro, M. Syahrizal, A. Putera, U. Siahaan, and R. Rahim, Student Admission Assesment using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), no. Irstc, 2017, doi: 10.31227/OSF.IO/GP4WJ.

A. Ulva, D. Iqbal, Nuraini, Mesran, D. U. Sutiksono, and Yuhandri, Sistem Pendukung Keputusan Pemilihan Bibit Lele Terbaik Menggunakan Metode MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) dan WASPAS (Weight Aggregated Sum Product Assesment), Sist. Pendukung Keputusan Pemilihan Bibit Lele Terbaik Menggunakan Metod. MOORA (Multi-Objective Optim. Basis Ratio Anal. dan WASPAS (Weight Aggregated Sum Prod. Assesment), vol. 2, no. 1, pp. 177185, 2018, doi: 10.30865/komik.v2i1.942.

J. Afriany, L. R. B. Sinurat, I. Julianty, and E. L. Nainggolan, Penerapan MOORA Untuk Mendukung Efektifitas Keputusan Manajemen Dalam Penentuan Lokasi SPBU, JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 2, pp. 161166, 2018.

Assrani dkk., Penentuan Penerima Bantuan Siswa Miskin Menerapkan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA), JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 2407389X (Media Cetak), pp. 15, 2018.

C. Fadlan, A. P. Windarto, and I. S. Damanik, Penerapan Metode MOORA pada Sistem Pemilihan Bibit Cabai ( Kasus : Desa Bandar Siantar Kecamatan Gunung Malela ), vol. 3, no. 2, pp. 26, 2019.

W. M. Kifti and I. Hasian, Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI ( Preference Selection Index ), J. Media Inform. Budidarma, vol. 5, no. 1, pp. 762768, 2021, doi: 10.30865/mib.v5i3.2994.

K. Perencanaan et al., Covid-19, New Normal, dan Perencanaan Pembangunan di Indonesia, J. Perenc. Pembang. Indones. J. Dev. Plan., vol. 4, no. 2, pp. 240252, 2020, doi: 10.36574/jpp.v4i2.118.

K. M. H. Juita Hutagaol, Sistem Pendukung Kepetusan Pembelian Laptop Bekas dengan Menerapkan Metode Preference Selection Index (PSI), pp. 446 451, 2019.

M. S. Obeidat and H. Traini, Ranking of water desalination technologies based on the preference selection index, Proc. Int. Conf. Ind. Eng. Oper. Manag., vol. 0, no. March, pp. 13011306, 2020.

R. Attri and S. Grover, Application of preference selection index method for decision making over the design stage of production system life cycle, J. King Saud Univ. - Eng. Sci., vol. 27, no. 2, pp. 207216, 2015, doi: 10.1016/j.jksues.2013.06.003.

P. Karande and S. Chakraborty, Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection, Mater. Des., vol. 37, pp. 317324, 2012, doi: 10.1016/j.matdes.2012.01.013.

M. Ashari and F. Mintarsih, QUERY : Jurnal Sistem Informasi Volume : 01 , Number : 02 , October 2017 ISSN 2579-5341 ( online ) Aplikasi Pemilihan Bibit Budidaya Ikan Air Tawar dengan Metode MOORA Entropy QUERY : Jurnal Sistem Informasi Volume : 01 , Number : 02 , October 2017 ISSN, Sist. Inf., vol. 1, no. October, 2017.

D. Handoko, M. Mesran, S. D. Nasution, Y. Yuhandri, and H. Nurdiyanto, Application Of Weight Sum Model (WSM) In Determining Special Allocation Funds Recipients, IJICS (International J. Informatics Comput. Sci., vol. 1, no. 2, pp. 3135, 2017.




DOI: http://dx.doi.org/10.61944/bids.v1i2.42

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