SISTEM MONITORING SMART STICK BERBASIS INTERNET OF THINGS (IoT) DENGAN INTEGRASI MULTI-SENSOR UNTUK MEMBANTU MOBILITAS PENYANDANG TUNANETRA

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Diterbitkan: Agu 28, 2026
Kata Kunci:
ESP32, Internet of Things, Real-Time Monitoring, Multi-Sensor, Smart Stick

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Yan Sofyan
Universitas Darma Persada
Lady Setiawan
Universitas Darma Persada

Abstrak

Penyandang tunanetra menghadapi berbagai kendala dalam mobilitas karena tongkat konvensional terutama mendeteksi rintangan melalui kontak fisik dan belum menyediakan informasi lingkungan secara komprehensif. Penelitian ini bertujuan merancang dan menguji sistem monitoring Smart Stick berbasis Internet of Things (IoT) dengan integrasi multi-sensor untuk mendeteksi rintangan, genangan air, getaran atau benturan, serta lokasi pengguna secara real-time. Sistem menggunakan ESP32 sebagai pengendali utama, tiga sensor ultrasonik HC-SR04, Water Sensor, sensor getar SW-420, modul GPS Neo-M8N, buzzer, motor getar, dan tombol SOS. Data sensor diproses oleh ESP32 untuk menentukan kondisi lingkungan dan mengaktifkan mekanisme peringatan sesuai tingkat bahaya. Data dikirim ke ThingSpeak dan dashboard monitoring berbasis web, sedangkan notifikasi kondisi bahaya, lokasi, dan SOS dikirim melalui Telegram ketika koneksi internet tersedia. Berdasarkan hasil pengujian, sensor ultrasonik menghasilkan galat rata-rata pengukuran (MAE) 0,46 cm, Water Sensor mencapai tingkat keberhasilan deteksi 100%, dan modul GPS berhasil memperoleh koordinat lokasi pada setiap pengujian, dengan nilai HDOP 1,05 pada salah satu skenario pengujian. Integrasi sistem menunjukkan bahwa perangkat mampu melakukan deteksi lingkungan, memberikan peringatan lokal melalui suara dan getaran, serta menyediakan monitoring jarak jauh. Hasil tersebut menunjukkan bahwa prototipe secara teknis layak digunakan sebagai instrumen pendukung mobilitas penyandang tunanetra, dengan pengembangan lanjutan masih diperlukan pada aspek keandalan sistem, efisiensi daya, dan pengujian lapangan.

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Vol 16 No 1 (2026)
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Artikel ini berlisensi Creative Commons Attribution 4.0 International License.

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Lady Setiawan, Universitas Darma Persada

Visually impaired individuals often encounter mobility challenges because conventional canes primarily rely on physical contact to identify obstacles and provide limited information about surrounding environmental conditions. This study aims to design and evaluate an Internet of Things (IoT)-based Smart Stick monitoring system that integrates multiple sensors to detect obstacles, water puddles, vibrations or impacts, and the user’s location in real time. The proposed system employs an ESP32 as the main controller and integrates three HC-SR04 ultrasonic sensors, a water sensor, an SW-420 vibration sensor, a Neo-M8N GPS module, a buzzer, a vibration motor, and an SOS button. Sensor data are processed locally by the ESP32 to determine environmental conditions and activate appropriate warning mechanisms. The processed data are transmitted to ThingSpeak and a web-based monitoring dashboard, while danger alerts, location information, and SOS notifications are delivered via Telegram when an internet connection is available. Experimental results show that the ultrasonic sensors achieved a Mean Absolute Error (MAE) of 0.46 cm, while the water sensor achieved a 100% detection success rate under the tested conditions. The GPS module successfully acquired location coordinates, with an HDOP value of 1.05 recorded in one of the test scenarios. Overall system testing confirmed that the prototype was able to detect environmental conditions, provide local audio and vibration alerts, and support remote monitoring and emergency notifications. These findings demonstrate the technical feasibility of the proposed prototype as an assistive mobility device for visually impaired individuals, while further evaluation under more diverse real-world conditions is required to assess its reliability, power efficiency, and practical usability.