IMPLEMENTATION OF FUZZY LOGIC USING SUGENO METHOD OF SCHOLARSHIP DETERMINATION

Authors

  • Boy Alberto Sitanggang Boy STIKOM Tunas Bangsa

DOI:

https://doi.org/10.53842/jaiea.v1i2.79

Keywords:

Scholarship, Fuzzy Logic, Sugeno, Selection

Abstract

Scholarships are funding that does not come from own funding or parents, but is provided by the government, educational institutions, private companies, universities, and schools that can provide opportunities to increase human resource capacity through education. To increase student interest in learning in the school environment by providing scholarships or assistance to students who are economically disadvantaged. The process of selecting scholarship recipients includes three variables, namely report cards, attendance, and student attitudes. Based on the variables above, the data will be processed to produce student decisions that deserve scholarships with a success rate of 88.88%. In order to produce fast and precise decisions and to avoid mistakes in selecting students, we need an appropriate method that can be used to assist decision makers in carrying out their duties. By using the right method, the school will be easier to make decisions. The method to overcome this problem is through the application of fuzzy logic with the Sugeno method.

References

D. Waskito, “Motivation of The Students of The Economics Faculty of Yogyakarta State University in 2012,” Pelita, vol. 8, no. 1, pp. 12–22, 2013.

A. M. H. Pardede et al., “Decision Support System for Deciding Eligible Journals to be Published in Majalah Kedokteran Nusantara Using the Fuzzy Logic Method,” in Journal of Physics: Conference Series, 2019, vol. 1363, no. 1, doi: 10.1088/1742-6596/1363/1/012081.

J. Warmansyah and D. Hilpiah, “Penerapan metode fuzzy sugeno untuk prediksi persediaan bahan baku,” Teknois J. Ilm. Teknol. Inf. dan Sains, vol. 9, pp. 12–20, Nov. 2019, doi: 10.36350/jbs.v9i2.58.

T. Tundo and E. I. Sela, “Application of The Fuzzy Inference System Method to Predict The Number of Weaving Fabric Production,” IJID (International J. Informatics Dev., vol. 7, no. 1, p. 19, 2018, doi: 10.14421/ijid.2018.07105.

F. A. Barata, “Jurnal Mantik Jurnal Mantik,” Mobile-Based Natl. Univ. Online Libr. Appl. Des., vol. 4, no. 3, pp. 1–7, 2021.

H. N. Teodorescu, “On fuzzy sequences, fixed points and periodicity in iterated fuzzy maps,” Int. J. Comput. Commun. Control, vol. 6, no. 4, pp. 752–763, 2011, doi: 10.15837/ijccc.2011.4.2107.

L. Ayuningtias, M. Irfan, and J. Jumadi, “ANALISA PERBANDINGAN LOGIC FUZZY METODE TSUKAMOTO, SUGENO, DAN MAMDANI (STUDI KASUS : PREDIKSI JUMLAH PENDAFTAR MAHASISWA BARU FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS ISLAM NEGERI SUNAN GUNUNG DJATI BANDUNG),” J. Tek. Inform., vol. 10, Apr. 2017, doi: 10.15408/jti.v10i1.5610.

Murnawan, R. A. E. Virgana, and S. Lestari, “Comparison of Sugeno and Tsukamoto fuzzy inference system method for determining estimated production amount,” Turkish J. Comput. Math. Educ., vol. 12, no. 8, pp. 1467–1476, 2021.

J. Castro, O. Castillo, M. Sanchez, O. Mendoza, A. Rodríguez-Díaz, and P. Melin, “Method for Higher Order Polynomial Sugeno Fuzzy Inference Systems,” Inf. Sci. (Ny)., vol. 351, Mar. 2016, doi: 10.1016/j.ins.2016.02.045.

T. Limbong, P. Siagian, T. Gultom, and J. Simarmata, “Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans,” IOP Conf. Ser. Mater. Sci. Eng., vol. 725, no. 1, 2020, doi: 10.1088/1757-899X/725/1/012134.

M. Simargolang and H. Tamba, “SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE FUZZY SUGENO UNTUK MENENTUKAN CALON PRESIDEN MAHASISWA DI UNIVERSITAS ASAHAN,” J. Teknol. Inf., vol. 2, p. 122, Feb. 2019, doi: 10.36294/jurti.v2i2.426.

Downloads

Published

2022-02-09

How to Cite

Boy, B. A. S. (2022). IMPLEMENTATION OF FUZZY LOGIC USING SUGENO METHOD OF SCHOLARSHIP DETERMINATION. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 1(2), 135–141. https://doi.org/10.53842/jaiea.v1i2.79