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)

Authors

  • Dentik Karyaningsih STKIP Setiabudhi Rangkasbitung
  • Robby Rizky STKIP Setiabudhi Rangkasbitung

DOI:

https://doi.org/10.35134/komtekinfo.v7i3.78

Keywords:

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

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

References

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.

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.

E. E. Prasetiyo, O. Wahyunggoro, and S. Sulistyo, “Desain Pengatur Lampu Lalu LintasAdaptif dengan Kendali Logika Fuzzy,” Semin. Nas. Teknol. Inf. dan Multimed. 2015STMIK AMIKOM Yogyakarta, 6-8 Februari 2015, pp. 6–8, 2015.

M. Maslim, B. Y. Dwiandiyanta, and N. Viany Susilo, “Implementasi Metode LogikamFuzzy dalam Pembangunan Sistem Optimalisasi Lampu Lalu Lintas,” J. Buana Inform., vol. 9, no. 1, pp. 11–20, 2018, doi: 10.24002/jbi.v9i1.1661.

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.

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.

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.

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.

S. C. Sumarta, P. Studi, T. Informatika, F. T. Informasi, U. Atma, and J. Makassar, “LOGIKA FUZZY METODE MAMDANI PADA BERBAGAI,” 1965.

E. E. Prasetiyo, “Perbandingan Kinerja Pengendali Lampu Lalu Lintas Metode Fuzzy Tipe Sugeno Dengan,” pp. 6–7, 2016.

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.

R. Megasari and K. Novianingsih, “Optimisasi Delay Lampu Hijau Dengan Logika Fuzzy Metode,” Eureka Matika, vol. 5, no. 2, 2017.

L. Wahyu W, Rakhmat, Afriyanti, “Aplikasi Fuzzy Inference System ( Fis ) Metode Tsukamoto Pada Simulasi Traffic Light Menggunakan Java,” Program, Snati, pp. 104–107, 2009.

F. Pascasarjana, P. Studi, and S. Informasi, “Pemodelan sistem pendukung keputusan untuk menentukan rute tercepat menggunakan metode fuzzy,” pp. 1–1

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Published

2020-09-01

How to Cite

Karyaningsih, D. ., & Rizky, R. . (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/10.35134/komtekinfo.v7i3.78

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