DOI: https://doi.org/10.14710/jtsiskom.2020.13776

Sistem pendukung keputusan dengan FIS Mamdani untuk penentuan tekanan udara ban

Decision support system using FIS Mamdani for tire pressure determination

Rusliyawati Rusliyawati  -  Department of Information System, Universitas Teknokrat Indonesia, Indonesia
*Agus Wantoro orcid scopus  -  Department of Information System, Universitas Teknokrat Indonesia, Indonesia
Received: 9 Jun 2020; Revised: 18 Oct 2020; Accepted: 21 Oct 2020; Published: 31 Jan 2021; Available online: 26 Nov 2020.
Fulltext
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract
Tire pressure is significant in driving; it should not be less or more. Inadequate air pressure can damage the rim, such as unstable circles, rupture, uneven tire tread, and fuel consumption waste. Excessive tire pressure causes the steering wheel to be more challenging, and the steering wheel vibrates more; besides causing discomfort when driving. This study aims to develop a FIS Mamdani model to determine the tire pressure. The model was developed using FIS Mamdani so that the tire pressure size will be adjusted to the load capacity and other factors. This research's benefits are expected to reduce the rate of accidents due to tire bursts, damaged wheels, and tires to be more durable so that fuel is more efficient and can reduce vehicle operating costs, which ultimately impact increasing company revenues. This model can also be used to calculate tire pressure on two-wheeled vehicles and different types of cars.
Keywords: FIS Mamdani model; fuzzy logic; tire pressure; decision support system
Funding: Universitas Teknokrat Indonesia

Article Metrics:

  1. P. Ban, “Awas Oleng! Cek Tekanan Angin Yang Tepat Untuk Ban Motor! | Planetban.com,” Planetban.com, 2018. [Online]. Available: https://planetban.com/blog/awas-oleng-cek-tekanan-angin-yang-tepat-untuk-ban-motor. [Accessed: 24-Mar-2020]
  2. A. A. Masindo, “Jangan Asal Isi Angin, Ini Tekanan Angin Ban Mobil yang Ideal - Semua Halaman - GridOto.com,” //www.gridoto.com/, 2019. [Online]. Available: https://www.gridoto.com/read/221642383/jangan-asal-isi-angin-ini-tekanan-angin-ban-mobil-yang-ideal?page=all. [Accessed: 24-Mar-2020]
  3. TireSize, “Tire Pressure Calculator,” https://tiresize.com/pressure-calculator/, 2020. [Online]. Available:
  4. Y. Santoso, “Tekanan udara ideal ban MTB,” https://lokadata.id/, 2018. [Online]. Available:
  5. V. ML, “Cara Menghitung Tekanan Angin Ban Mobil - Futuready,” Futuready, 2018. [Online]. Available: https://www.futuready.com/artikel/mobil/cara-menghitung-tekanan-angin-ban-mobil/. [Accessed: 12-May-2020]
  6. T. Motors, Manual Book Avanza.pdf. Jakarta: Toyota Indonesia, 2020
  7. D. Garcia-Pozuelo, O. Olatunbosun, J. Yunta, X. Yang, and V. Diaz, “A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires,” Sensors (Switzerland), vol. 17, no. 2, pp. 1–16, 2017
  8. H. Taghavifar and A. Mardani, “Fuzzy logic system based prediction effort: A case study on the effects of tire parameters on contact area and contact pressure,” Appl. Soft Comput. J., vol. 14, no. PART C, pp. 390–396, 2014
  9. A. Wahyudi, “Tips Menentukan Tekanan Ban | SPORTKU.COM,” SPORTKU.COM, 2018. [Online]. Available: https://sportku.com/read/35242/tips-menentukan-tekanan-ban?p=all. [Accessed: 13-May-2020]
  10. C. Mathworks, Fuzzy Logic Toolbox, 2nd ed. US: The MathWorks, Inc, 2010
  11. T. ID, “Bagaimana Temperatur dan Cuaca Mempengaruhi Tekanan Ban? - Trucker Id,” Trucker ID.Net, 2019. [Online]. Available: https://www.truckerid.net/2020/01/temperatur-ban.html. [Accessed: 24-Mar-2020]
  12. P. I. Ban, “Menentukan Standar Pressure Tyre OTR ( Ban OTR ) ~ PRIMA INDO BAN,” http://www.1st-indoban.com/, 2014. [Online]. Available:
  13. Mobil88, “Bahaya, Muatan Mobil yang Berlebih Bisa Bikin Celaka,” https://www.mobil88.astra.co.id/, 2019. [Online]. Available:
  14. L. A. Zadeh and S. Jose, “The Concept of a Linguistic Variable II,” Electr. Eng., vol. 357, pp. 301–357, 1975
  15. H. P. Sri Kusuma Dewi, Aplikasi Logika Fuzzy untuk Pendukung Keputusan, Kedua., vol. Kedua. Yogyakarta: Graha Ilmu, 2010
  16. Y. Zhou, Y. Chai, Y. Lin, and K. Wang, “An application of multi-sensor information fusion in tire pressure monitoring system,” Proc. 2010 IEEE Int. Conf. Intell. Syst. Knowl. Eng. ISKE 2010, pp. 187–190, 2010

Last update: 2021-03-08 07:12:13

No citation recorded.

Last update: 2021-03-08 07:12:14

No citation recorded.