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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Djtechno: Jurnal Teknologi Informasi Jurnal PkM (Pengabdian kepada Masyarakat) Brilliance: Research of Artificial Intelligence Ulead : Jurnal E-pengabdian Jurnal Ilmiah Mahasiswa Pendidikan
Siti Sarah Harahap
Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Mathematics Social Sciences Other

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Journal : INFOKUM

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PROTOTYPE ROAD GUIDE TOOL FOR BLIND PEOPLE BASED ON FUZZY LOGIC Mhd. Furqan; Rakhmat Kurniawan; Siti Sarah Harahap
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

One of the physical limitations that exist in humans is blindness. Because it is difficult to see, they need tools to help them carry out their daily activities. A tool is needed to help guide them in walking activities. A walking guide tool for blind people based on fuzzy logic is one solution to help them in walking activities. By using a microcontroller as a controller of the ultrasonic sensor, buzzer, DC motor, and water sensor. The ultrasonic sensor is used to read the objects in front of the tool and provide this information to the microcontroller. The data sent by the sensor to the microcontroller will be processed and send sound information (buzzer) and vibrations (DC motor) when the ultrasonic sensor detects an object with a predetermined distance to the visual impaired. This guide tool for visually impaired persons uses fuzzy logic as a control system, by applying the fuzzy logic method to the blind aids to be able to provide logic output to the objects it detects at a predetermined distance range. Based on the results of research, a guide tool for blind people with fuzzy logic for the success rate in detecting objects on sensor 1 is 96.82%, while the success rate for sensor 2 is 97.97%. Keywords: Visual Aids, Microcontroller, Fuzzy Logic
Co-Authors Akbar Idaman Hadistio, Ryan Rinaldi Hadistio, Ryan Rinaldi Harjatanaya, Tracey Yani Mhd Furqan Muhammad Zarlis, Muhammad Poltak Sihombing Rakhmat Kurniawan R Ryan Rinaldi Hadistio Salim, Rin Rin Meilani Simamora, Windi Saputri Simatupang, Septian Siregar, Manutur Pandapotan Tar Muhammad Raja Gunung Windi Saputri Simamora