FUZZY APPLICATION (MAMDANI METHOD) IN DECISION-MAKING ON LED TV SELECTION

  • Erni Fatun Ma'rif Master of Mathematics Education Program, Universitas Negeri Yogyakarta, Indonesia https://orcid.org/0009-0000-1117-3992
  • Agus Maman Abadi Master of Mathematics Education Program, Universitas Negeri Yogyakarta, Indonesia
Keywords: Fuzzy, Mamdani Method, LED TV

Abstract

Science is now developing very quickly. Information technology has been used in various places. Using computers in business, government, and personal activities shows how important science and technology are in helping human activities. One method used to solve various problems is fuzzy logic. Several types of Fuzzy are classified as Fuzzy Inference Systems (FIS), namely Tsukamoto, Mamdani, and Sugeno. The application of vague logic in making decisions about choosing an LED TV is to make it easier to select electronic media. This research aims to help people who need clarification on the many LED TV choices currently available. So, we need a decision-making method to help people choose an LED TV that suits their needs and budget. One of the methods used in this research is the Mamdani method. There were 50 LED TV brands in this research, and the criteria used in selecting LED TVs were based on size, resolution, and price. An LED TV that meets the medium size, high resolution, and normal price criteria will be purchased. The LED TV data that meets the medium size, high resolution, and normal price criteria is the Samsung UA43AU7000KXXD brand LED TV. However, the actual decision remains based on the buyer's decision.

Downloads

Download data is not yet available.

References

R. A. Septiawan, “Implementasi logika fuzzy mamdani untuk menentukan harga gabah,” Skripsi dinus.ac.id, pp. 1–13, 2009.

M. Flasiński, “History of Artificial Intelligence,” Introd. to Artif. Intell., pp. 3–13, 2016, doi: 10.1007/978-3-319-40022-8_1.

A. Ikhwan, L. T. Hsb, A. W. Pratiwi, and A. Raynaldi, “Penerapan Fuzzy Mamdani Untuk Sistem Pendukung Keputusan Pemilihan Laptop,” vol. 9, no. 2, pp. 476–483, 2019.

O. Dorokhov, L. Dorokhova, and E. Zorina, “A fuzzy approach and modelling of service estimations for drugs freight transportation,” Transp. Telecommun., vol. 11, no. 1, pp. 19–25, 2010.

T. Tundo and S. Saifullah, “Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree,” J. Teknol. Inf. dan Ilmu Komput., vol. 9, no. 3, pp. 443–452, 2022, doi: 10.25126/jtiik.2022924212.

A. Guidara, Policy Decision Modeling with Fuzzy Logic: Theoretical and Computational Aspects, vol. 405. 2021. [Online]. Available: http://link.springer.com/10.1007/978-3-030-62628-0

D. Doz, D. Felda, and M. Cotic, “Assessing Students’ Mathematical Knowledge with Fuzzy Logic,” Educ. Sci., vol. 12, no. 4, 2022, doi: 10.3390/educsci12040266.

Klir G J, Clair U S, and Yuan B C, “Klir-fuzzy set theory foundations and application,” (Prentice-Hall: USA). 1977.

B. Setia, “Penerapan Logika Fuzzy pada Sistem Cerdas,” vol. 02, pp. 61–66, 2019.

B. Janković, “FUZZY LINGUISTIC VARIABLES IN MATHEMATICAL ACTIVITIES,” vol. 2020, no. Emc, pp. 19–20, 2020.

H. Nasution, “Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan,” ELKHA J. Tek. Elektro, vol. 4, no. 2, pp. 4–8, 2020, [Online]. Available: https://jurnal.untan.ac.id/index.php/Elkha/article/view/512

L. A. Latumakulita, “SISTEM PENDUKUNG KEPUTUSAN DISTRIBUSI BERAS MISKIN (RASKIN) MENGGUNAKAN LOGIKA SAMAR,” J. Tek. Inform., vol. 2, no. 1, Jul. 2013, doi: 10.35793/jti.2.1.2013.1988.

N. C. Serbest, G. N. and Demirel, “A fuzzy model for single facility location problem. A proceeding of 35th International Conference on Computers and Industrial Engineering.,” 2005.

K.-S. Lee and N.-M. Moon, “Analysis of Characteristics of White LED Light Source for TV Lighting,” J. Broadcast Eng., vol. 15, no. 4, pp. 461–473, 2010, doi: 10.5909/jbe.2010.15.4.461.

S. N. Sivanandam, S. Sumathi, and S. N. Deepa, “Introduction to fuzzy logic using MATLAB,” Introd. to Fuzzy Log. using MATLAB, pp. 1–430, 2007, doi: 10.1007/978-3-540-35781-0.

T. MathWorks, “MATLAB user’s guide. Natick, MA: The MathWorks, Inc,” 2017.

P. Y. Priyono and A. M. Abadi, “Sistem Pengambilan Keputusan Dalam Pemilihan Smartphone Dengan Metode Mamdani Penggandaan,” pp. 187–194, 2017.

J. V. de Oliveira, “Semantic constraints for membership function optimization,” IEEE Trans. Syst. Man, Cybern. - Part A Syst. Humans, vol. 29, no. 1, pp. 128–138, 1999, doi: 10.1109/3468.736369.

Tokopedia, “TV LED.” https://www.tokopedia.com/find/tv-led (accessed Dec. 06, 2023).

Y. Al Afis and A. M. Abadi, “Metode Mamdani Untuk Klasifikasi Dalam Prediksi Indeks Pembangunan Manusia Di Kota Banda Aceh,” pp. 305–312, 2017.

Published
2024-05-25
How to Cite
[1]
E. Ma’rif and A. Abadi, “FUZZY APPLICATION (MAMDANI METHOD) IN DECISION-MAKING ON LED TV SELECTION”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 1117-1128, May 2024.