2 research outputs found
Sistem Pengontrol Kecepatan Mobil Ambulans Berbasis IoT Menggunakan NodeMCU ESP8266
No full textThis research introduces an IoT-based speed control system tailored for ambulance vehicles using the NodeMCU ESP8266 microcontroller. The system employs an optocoupler sensor to detect wheel rotation speed and transmits real-time data via Wi-Fi to the Blynk application. The objective is to ensure that the ambulance maintains safe operating speeds, while simultaneously activating alerts for the driver whenever thresholds are exceeded. Performance evaluations were conducted across GPRS, 3G, and 4G networks to assess reliability and responsiveness. The findings reveal a response latency of approximately 1 second on a 4G connection, and up to 3 seconds under GPRS. The proposed system exhibited strong network stability over a 24-hour test period and delivered accurate speed monitoring throughout. The novelty of this work lies in the seamless integration of real-time monitoring and alert mechanisms without reliance on manual intervention. This solution has potential application in improving the operational safety and efficiency of emergency medical transport services in Indonesia
SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
No full textElectric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method.
MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth
