Perancangan Smart Stick untuk Mobilitas Penyandang Tunanetra Berbasis Mikrokontroler
Keywords:
Smart Stick, Ultrasonic Sensor, Water Level Sensor, Visually Impaired, MicrocontrollerAbstract
The development of assistive technology for visually impaired individuals is essential to enhance their mobility and safety. This research successfully designed and developed a Smart Stick based on a microcontroller, equipped with ultrasonic and water level sensors to detect obstacles and water puddles in real-time. The system provides immediate warnings through a speaker, allowing users to navigate their environment more effectively. The testing phase demonstrated that the ultrasonic sensor accurately detects obstacles within a range of 50–150 cm, while the water level sensor activates an alarm when the water reaches 40 mm. The results indicate that the Smart Stick is reliable in detecting obstacles and providing early warnings, improving the independence and security of visually impaired users. Future improvements may include IoT integration, Bluetooth headset compatibility, and enhanced sensor accuracy to optimize its functionality.
References
Faith, E., Bermudo, C., Andrew, P., Nahiwan, D., Ernest, B., Redoble, J. S., Carlos, B., Reyes, J. M., Paulo, J., Singzon, Y., Asaba, H. M., & Ong, C. Y. (2020). Developing an Assistive Device for the Visually Impaired Using Ultrasonic Sensors for Distance and Solidity Determination. https://doi.org/https://doi.org/10.3390/s17030565
Imran, M. (2024). Peningkatan Pemberdayaan Penyandang Tunanetra melalui Perancangan Social Media Newsletter di Yayasan Sosial Tunanetra. In Jurnal Komunitas : Jurnal Pengabdian kepada Masyarakat (Vol. 6, Issue 2). https://doi.org/https://doi.org/10.31334/jks.v6i2.3587
Kazi, W., Limu, T. J., & Md. Rakibuzzaman. (2023). Smart Cane: A Low Cost Assistive Device for the Visually Impaired. EAI Endorsed Transactions on Internet of Things, 8(4), e5. https://doi.org/10.4108/eetiot.v8i4.1707
Kumar Reddy, B. S., Jyothika, K., Prathyusha, B., Shravani, B., Ganitha, G., & Manogna, G. (2024). Accident avoiding and vehicle control system using aurdino with ultrasonic sensors. In Futuristic Trends in Artificial Intelligence Volume 3 Book 2 (pp. 132–137). Iterative International Publishers, Selfypage Developers Pvt Ltd. https://doi.org/10.58532/V3BDAI2P2CH7
Malla, S., Sahu, P. K., Patnaik, S., & Biswal, A. K. (2023). Obstacle detection and assistance for visually impaired individuals using an iot-enabled smart blind stick. Revue d’Intelligence Artificielle, 37(3), 783–794. https://doi.org/10.18280/ria.370327
Mulyana, D. I., & Wati, S. S. (2023). Penerapan Alat Bantu Tunanetra Menggunakan Metode Fuzzy Logic Dengan Teknologi IoT Dalam Meningkatkan Kemandirian Dan Mobilitas Pengguna The Application of Blind Aids Using Fuzzy Logic Methods with IoT Technology in Increasing User Independence and Mobility. Journal of Information Technology and Computer Science (INTECOMS), 6(2). https://doi.org/https://doi.org/10.31539/intecoms.v6i2.7883
Okolo, G. I., Althobaiti, T., & Ramzan, N. (2024). Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance. Sensors, 24(11), 3572. https://doi.org/10.3390/s24113572
Ramdani, S., & Zainul Arifin, M. (2021). Alat Bantu Berjalan Tunanetra Berbasis Mikrokontroler Arduino. https://doi.org/https://doi.org/10.32764/saintekbu.v13i02.665
Rio, M., & Wulansari, Z. (2020). Tongkat Bantu Jalan Tunanetra Pendeteksi Halangan Menggunakan Sensor Ultrasonik Berbasis Mikrokontroler Arduino Nano. In Jurnal Mahasiswa Teknik Informatika (Vol. 4, Issue 2). https://doi.org/https://doi.org/10.36040/jati.v4i2.3168
S, M. D., Niveditha, G., Pinto, N. A., & Sinha, S. (2024). Enhancing Mobility: A Smart Cane with Integrated Navigation System and Voice-Assisted Guidance for the Visually Impaired. 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), 1124–1129. https://doi.org/10.1109/CSNT60213.2024.10546111
Said, Y., Atri, M., Albahar, M. A., Ben Atitallah, A., & Alsariera, Y. A. (2023). Obstacle Detection System for Navigation Assistance of Visually Impaired People Based on Deep Learning Techniques. Sensors, 23(11). https://doi.org/10.3390/s23115262
Sandi, A. S., Ashari, I. A., Setiawan, R. A., & Sumantri, R. B. B. (2021). Implementasi Sensor MQ-2 Sebagai Alat Deteksi Asap Rokok Menggunakan ATMEGA328. METHOMIKA Jurnal Manajemen Informatika Dan Komputerisasi Akuntansi, 5(2), 110–115. https://doi.org/10.46880/jmika.Vol5No2.pp110-115
Tjahjono, B., Cahyo Adhi, A., & Irawan, B. (2022). Pengembangan Alat Bantu Tuna Netra Berbasis Arduino. https://doi.org/https://doi.org/10.24036/voteteknika.v10i1.116455
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Estu Prayoga, Arif Setia Sandi A, Khoirun Nisa

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.










