Implementation of Fuzzy Mamdani Method for Traffic Lights Smart City in Rangkasbitung, Lebak Regency, Banten Province (Case Study of the Traffic Light T-junction, Cibadak, By Pas Sukarno Hatta Street) Implementation of Fuzzy Mamdani Method for Traffic Lights Smart City in Rangkasbitung, Lebak Regency, Banten Province (Case Study of the Traffic Light T-junction, Cibadak, By Pas Sukarno Hatta Street)

Main Article Content

Dentik Karyaningsih
robby rizky

Abstract

Traffic jams are a common sight that can be seen in almost all major cities in Indonesia. One of them is in Rangkasbitung City, Lebak Regency. This happens because the number of vehicles continues to increase. The traffic light control system implemented in Indonesia is a static preset time because the time of each phase is predetermined. This type of control system is still not effective in overcoming traffic congestion, especially at certain peak traffic jams. By using the Mamdani fuzzy logic system, it is possible to implement the human mindset into a system. Some rules can be set out in the fuzzy logic controller. The purpose of this study is to design a traffic light control system using fuzzy inference that regulates traffic based on its density. The data used are observations made at the research site. The conclusion of this study is to explain that the fuzzy mamdani method can solve existing problems in traffic congestion in Rangkasbitung City, Lebak Regency, Banten Province.


Keywords: Implementation, Fuzzy Mamdani, traffic, Lebak Regency, Rangkasbitung City

Downloads

Download data is not yet available.

Article Details

How to Cite
Karyaningsih, D., & rizky, robby. (2020). Implementation of Fuzzy Mamdani Method for Traffic Lights Smart City in Rangkasbitung, Lebak Regency, Banten Province (Case Study of the Traffic Light T-junction, Cibadak, By Pas Sukarno Hatta Street). Jurnal KomtekInfo, 7(3), 176-185. https://doi.org/https://doi.org/10.35134/komtekinfo.v7i3.1398
Section
Kecerdasan Buatan
Abstract viewed = 37 times
PDF downloaded = 37 times

References

[1] H. Prasetyo and U. Sutisna, “Techno , ISSN 1410 - 8607 IMPLEMENTASI
ALGORITMA LOGIKA FUZZY UNTUK SISTEM PENGATURAN Implementation of
Fuzzy Logic Algorithm for Traffic Lights Control System Using,” vol. 15, no. 2, pp. 1–8, 2014. [2] J. Ismail, F. Marisa, and I. D. Wijaya, “Aplikasi Pengenalan Rambu Lalu Lintas
Menggunakan Metode Fuzzy Mamdani Berbasis Android,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 33–39, 2016, doi: 10.31328/jointecs.v1i1.406. [3] E. E. Prasetiyo, O. Wahyunggoro, and S. Sulistyo, “Desain Pengatur Lampu Lalu Lintas
Adaptif dengan Kendali Logika Fuzzy,” Semin. Nas. Teknol. Inf. dan Multimed. 2015
STMIK AMIKOM Yogyakarta, 6-8 Februari 2015, pp. 6–8, 2015. [4] M. Maslim, B. Y. Dwiandiyanta, and N. Viany Susilo, “Implementasi Metode Logika
Fuzzy dalam Pembangunan Sistem Optimalisasi Lampu Lalu Lintas,” J. Buana Inform., vol. 9, no. 1, pp. 11–20, 2018, doi: 10.24002/jbi.v9i1.1661. [5] R. P. Prasetya, “Implementasi Fuzzy Mamdani Pada Lampu Lalu Lintas Secara Adaptif
Untuk Meminimalkan Waktu Tunggu Pengguna Jalan,” J. Mnemon., vol. 3, no. 1, pp. 24–29, 2020, doi: 10.36040/mnemonic.v3i1.2526. [6] P. Juniana and L. Hakim, “Kendali Lampu Lalu Lintas Dengan Menggunakan Metode
Fuzzy Logic Mamdani,” J. Terap. Teknol. Inf., vol. 3, no. 1, pp. 1–10, 2019, doi:
10.21460/jutei.2018.31.126. [7] R. Yusuf, A. Andriansyah, F. Pratiwi, J. T. Elektro, F. T. Industri, and U. M. Buana, “Simulasi Pengaturan Lalu Lintas Menggunakan Logika Fuzzy,” pp. 221–226, 2010. [8] R. A. T. Aufik et al., “Rancang Bangun Simulator Kendali Lampu Lalu Lintas Dengan
Logika Fuzzy,” Seminar, vol. 2008, no. RAHMAT TAUFIK, pp. 1–26, 2008. [9] S. C. Sumarta, P. Studi, T. Informatika, F. T. Informasi, U. Atma, and J. Makassar, “LOGIKA FUZZY METODE MAMDANI PADA BERBAGAI,” 1965. [10] E. E. Prasetiyo, “Perbandingan Kinerja Pengendali Lampu Lalu Lintas Metode Fuzzy Tipe
Sugeno Dengan,” pp. 6–7, 2016. [11] S. Nurhayati and I. Immanudin, “Penerapan Logika Fuzzy Mamdani Untuk Prediksi
Pengadaan Peralatan Rumah Tangga Rumah Sakit,” Komputika J. Sist. Komput., vol. 8, no. 2, pp. 81–87, 2019, doi: 10.34010/komputika.v8i2.2254. [12] R. Megasari and K. Novianingsih, “Optimisasi Delay Lampu Hijau Dengan Logika Fuzzy
Metode,” Eureka Matika, vol. 5, no. 2, 2017. [13] L. Wahyu W, Rakhmat, Afriyanti, “Aplikasi Fuzzy Inference System ( Fis ) Metode
Tsukamoto Pada Simulasi Traffic Light Menggunakan Java,” Program, vol. 2009, no.
JurnalKomtekInfo , Vol.7 No.3Tahun 2020
e-ISSN :2502-8758 || p-ISSN : 2356-0010
DOI :10.35134/komtekinfo.v7i3
Page :176-185
Submitted :07 Juni 2020 Accepted : 1 September 2020 Published :11 September 2020
DOI : 10.35134/komtekinfo.v7i2.1331
185
Snati, pp. 104–107, 2009. [14] F. Pascasarjana, P. Studi, and S. Informasi, “Pemodelan sistem pendukung keputusan
untuk menentukan rute tercepat menggunakan metode fuzzy,” pp. 1–12.