MABAC Method Dalam Penentuan Kelayakan Penerima Bantuan SPP

Wina Yusnaeni, m marlina

Abstract


Acceptance of elementary school students, first level, level of preventive and tertiary levels are conducted annually. In conducting the registration, there are requirements that must be filled by the prospective registrant. Criteria determined by the school in which the scholarship registrant data will be in the data by the school. Scholarships are financing given by the government, agencies or schools, which do not originate from self-financing or parents. Scholarships are given to those who are entitled to receive because they have quality, and achievement as a scholarship recipient. In the logging of the Committee, one by one and conducted surveys and decisions from the Committee. The need for time in input and decision only by the Committee does not guarantee the decision to be taken precisely and accurately. Therefore, the need for a decision support system that can help determine the results more objective according to the criteria that have been specified. One of the methods discussed by the author here MABAC Method. There is stability in the solution and rational than some other methods of decision support system. The use of methods is conducted against 128 applicants with predefined criteria data. From the data is determined the weight of the assessment and the alternative weight of criteria that produce decent not like students receive scholarships or SPP assistance.


Full Text:

PDF (46-55)

References


W. Arninputranto, “Beasiswa Dengan Fuzzy Metode,” pp. 37–48.

R. Manurung, Fitriani, R. Sitanggang, F. T. Waruwu, and Fadlina, “Penerapan Metode Weighted Aggregated Sum Product Assessment Dalam Penentuan Penerima Beasiswa Bidik Misi,” Ris. Komput., vol. 5, no. 1, pp. 79–84, 2018.

S. P. Keputusan et al., “SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BEASISWA BIDIK MISI BAGI MAHASISWA BARU UNIVERSITAS NEGERI MAKASSAR MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING,” vol. 5, no. 1, pp. 33–46, 2019.

D. Febrina, D. M. Nst, and N. K. Dewi, “Penerapan Metode MOORA Dan WASPAS Dalam Mendukung Keputusan Pemilihan Susu Formula Terbaik,” Semin. Nas. Sains Teknol. Inf., pp. 515–525, 2018.

R. Kristianto, “MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode MultiAttributive Border Approximation Area Comparison,” J. Mahajana Inf., vol. 3, no. 1, pp. 41–52, 2018.

S. R. Yoga Aditya Agassi V, Indra Dharma, “Sistem Pendukung Keputusan Penerimaan Beasiswa Dengan Metode Simple Additive Weighting (SAW) Politeknik Negeri Malang,” Jurnal Informatika Polinema, vol. 1. pp. 53–58, 2014.

C. K. Budi Andrianto and H. Al Fatta, “Analisis Sistem Pendukung Keputusan Penerima Beasiswa Di Smp Muhammadiyah 2 Kalasan,” XII Nomor 34 Maret 2017 J. Teknol. Inf., vol. 34, pp. 1907–2430, 2017.

A. W. Pamungkas, D. Nugroho, and S. Siswanti, “Sistem Pendukung Keputusan Penerimaan Beasiswa Kurang Mampu Smk Harapan Dengan Metode Simple Additive Weighting (Saw),” TIKomSiN, vol. 4, pp. 35–41, 2016.

W. Supriyanti, “Rancang Bangun Aplikasi Sistem Pendukung Keputusan Penerima Beasiswa dengan Metode SAW,” Creat. Inf. Technol. J., vol. 1, no. 1, p. 67, 2015.

S. B. Bridge, “MULTI-CRITERIA FUCOM – FUZZY MABAC MODEL FOR THE SELECTION OF LOCATION FOR CONSTRUCTION OF,” vol. 2, no. 1, pp. 132–146, 2019.

A. Putra and D. Hardiyanti, “Penentuan Penerima Beasiswa Dengan Menggunakan Fuzzy Multiple Atribute Decission Making,” J. Sist. Inf., vol. 3, no. 1, pp. 286–293, 2011.

J. Oliver, “SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BEASISWA PADA SMA 1 BOJA DENGAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP),” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2013.

M. & Rozi, “Seleksi Penerima Beasiswa Dengan Metode Fuzzy Multi-Attribute Decision Making Dengan Pengembangan Receiver Selection with Fuzzy Multi-Attribute Decision Making With Development Method,” J. Multimed. Artif. Intell., vol. 1, no. 1, pp. 21–26, 2017.

D. I. Božanić, D. S. Pamučar, and S. M. Karović, “Application the MABAC method in support of decision-making on the use of force in a defensive operation,” Tehnika, vol. 71, no. 1, pp. 129–136, 2016.

D. Bozanic, D. Pamucar, and S. Karovic, “Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions,” Vojnoteh. Glas., vol. 64, no. 3, pp. 705–729, 2016.




DOI: https://doi.org/10.31294/evolusi.v8i1.7536

Published By LPPM Universitas Bina Sarana Informatika

Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License