Publication Search

Kebakaran masih menjadi masalah serius dengan dampak besar, baik secara materi maupun korban jiwa. Deteksi yang lambat dan alarm konvensional yang tidak responsif menjadi penyebab utama tingginya tingkat kerusakan. Penelitian ini mengusulkan sistem deteksi kebakaran berbasis Internet of Things (IoT) yang mengintegrasikan multi-sensor dengan platform IFTTT (If This, Then That). Sistem ini menggabungkan sensor asap (MQ5, MQ9), suhu (DHT22), dan api, dengan NodeMCU ESP8266 sebagai pusat kendali, serta mengirim notifikasi real-time melalui WhatsApp. Tujuannya adalah meningkatkan akurasi deteksi dan mengurangi alarm palsu. Pengujian dilakukan dengan membandingkan sistem konvensional dan sistem IoT pada berbagai skenario kebakaran. Hasil menunjukkan bahwa sistem IoT memiliki keunggulan dalam kecepatan notifikasi (kurang dari 10 detik) dan kemampuan menyampaikan lokasi secara akurat. Meskipun memerlukan biaya awal lebih tinggi, efektivitas sistem ini dalam meningkatkan respons darurat menjadikannya solusi yang layak. Sistem ini cocok diterapkan di rumah, kantor, maupun fasilitas industri, serta memiliki potensi besar dalam pengembangan sistem keselamatan kebakaran yang lebih adaptif dan efisien di masa depan

Monitoring realizes efforts to improve the quality of health services. To obtain information on patient condition data during treatment. The monitoring process is done manually. So that it has an impact on the service and condition of the patient during treatment. The design of monitoring the patient's body temperature and heart during treatment with IoT can be controlled through the NodeMCU sensor ESP8266, MLX9014, MAX30100 sensor and Arduino IDE software program. Furthermore, it can detect the patient's temperature and the patient's heart rate during treatment. And processed by the NodeMCU ESP8266, the data from the two sensors is displayed on the SSD1306 OLED LCD and also to the smartphone of the medical officer on duty via Blynk. In order for the tool to work properly and optimally, it is necessary to adjust the pin placement so that it can work optimally. The problem of internet connection interference causes delays, resulting in a mismatch between the measurement of the test equipment and the standard tool. Data values are taken with an accuracy of 70%-93% for the MAX30100 sensor, for the temperature sensor it is close to optimal with a value that is read on a standard tool with an accuracy of 97%-99%.

Human daily life depends on air, so air quality needs to be protected especially against pollution. Decreasing air quality due to dust pollution can result in ARI. Makes it easier to measure ambient air and air temperature using internet-based technology. Designing internet-based dust and temperature measuring devices using the gp2y1010au0f type dust sensor, and DHS11 sensor as a temperature sensor, amplifier circuit, NodemCU microcontroller, and LCD (Liquid Crystal Display). The measurement application is carried out at the location of the PT. Djabus Tunas Utama Ngoro Mojokerto East Java at 10 sampling points around the mixing tube. The measurement results show the concentration carried by ambient air quality standards when the engine stops, so it is safe for employees. When the machine is mixing and the machine is not mixing (ordinary conditions) the concentration of particulates and the temperature exceeds the ambient air quality standard, for that all employees are required to use PPE.