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Author

U. Fatmawati

2 papers indexed here

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Open access Aug 2026

Development of an ESP32-Based IoT Smart Cane for Multi-Directional Obstacle Detection and Real-Time Monitoring

Visual impairment limits independent mobility due to difficulties in recognizing obstacles and environmental conditions. This study aims to develop an ESP32-based Internet of Things (IoT) smart cane to improve navigation safety and real-time monitoring for visually impaired users. The proposed system integrates three ultrasonic sensors for multi-directional obstacle detection, a water level sensor for puddle detection, a DFPlayer Mini with speaker for audio feedback, a vibration motor for tactile feedback, and a GPS module connected to a Telegram Bot for location monitoring. The prototype was designed and evaluated through functional testing of each subsystem and overall system performance. The results show that the smart cane successfully detects obstacles, provides audio and vibration warnings, and transmits user location information remotely. The developed system demonstrates the potential of IoT-based assistive technology to support safer and more independent mobility for visually impaired users.

Raja Satria Ernovrianto Sirait, U. Fatmawati, Azhari Diansyah Putra Sinaga et al. · 0 citations
Open access Jul 2026

Design and Development of an MQ-2 Sensor and Arduino Uno Gas Leak Detection System with Automatic Ventilation and Warning

Gas leakage can create fire, explosion, and health hazards when it is not detected promptly. This study developed a laboratory-scale gas-leak detection prototype that integrates an MQ-2 metal-oxide sensor, Arduino Uno, 16×2 I2C LCD, audible and visual warnings, a relay, and an automatically activated exhaust fan. Prototype performance was evaluated through distance-based sensor-response tests, alarm-response-time trials, and time-resolved ventilation tests. The average MQ-2 output declined from 721.0 ADC counts at 5 cm to 150.0 ADC counts at 30 cm, indicating a consistent distance-dependent response under the reported test conditions. The warning chain activated in an average of 2.0 s. After fan activation, the average ADC response decreased by 46.7% after 30 s and 79.9% after 60 s relative to the initial reading. These percentages describe changes in relative sensor output, not calibrated gas concentration, because no certified reference-gas or parts-per-million calibration was performed. The prototype demonstrates the feasibility of combining local detection, warning logic, and automatic ventilation in one low-cost platform. It is intended as an educational and supervised proof of concept and should not be treated as a substitute for a certified combustible-gas detector or explosion-protected safety system.

Raul Gonjales Barus, U. Fatmawati, Dananjaya Ariateja et al. · 0 citations

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