Monitoring total aktivasi pompa harian, mingguan, dan bulanan menggunakan ESP32.
This IoT-based system uses an ESP32 microcontroller and real-time sensors to monitor river water quality. It measures pH, TDS, and turbidity, sending data to ThingSpeak for live visualization. The goal is to support early detection of water pollution and
Dummy IoT project that simulates temperature, humidity, and air quality data for demo purposes.
This channel logs emergency alerts, obstacle detection, and water detection from the smart blind stick.
IoT sensor module that uses ESP32 to collect data of the environment surrounding it. It sense the data and averages it every 10 minutes and uploads it to ThingSpeak. It will also display the past 24 hours of data gathered with 144 points.
This channel monitors temperature using an LM35 sensor and controls a fan with IC741 comparator. Data is logged to ThingSpeak for visualization and analysis.
This channel monitors temperature using an LM35 sensor and controls a fan with IC741 comparator. Data is logged to ThingSpeak for visualization and analysis.
Channel storing processed accelerometer and GPS-derived walking metrics for SEE711 IoT Systems project. Data includes step counts, speed, step length, and related performance metrics.
Simulated air quality data with PM2.5, PM10, and CO2 sent to ThingSpeak
This project implements a Smart IoT-based Remote Monitoring and Control System using the ESP32 microcontroller and ThingSpeak cloud platform. It is designed to monitor, control, and analyze the performance of heavy-duty water pumping stations remotely and
log real-time temperature and humidity using DHT11/DHT22