Kebakaran Rumah merupakan salah satu bencana yang sering terjadi di berbagai wilayah, termasuk di Kota Tarakan dengan salah satu penyebab utama yaitu korsleting listrik. Peristiwa ini umumnya terjadi di kawasan permukiman padat penduduk akibat kelalaian dalam memantau penggunaan listrik serta kurangnya sistem deteksi dini kebakaran. Penelitian ini bertujuan untuk merancang prototipe sistem monitoring listrik rumah berbasis Internet of Things (IoT) menggunakan metode Rule-Based System yang mampu mendeteksi potensi kebakaran secara dini. Sistem ini menggunakan mikrokontroler ESP32 sebagai pengendali utama, sensor arus dan tegangan (PZEM-004T) untuk memantau parameter listrik dan sensor suhu (Thermistor NTC) untuk mengidentifikasi perubahan suhu di sekitar perangkat. Data yang diperoleh akan dianalisis menggunakan metode Rule-Based System untuk menentukan status kondisi listrik (Normal, Waspada, atau Berbahaya). Sistem dilengkapi dengan aplikasi Blynk IoT yang memungkinkan pemantauan kondisi secara real-time, pengiriman notifikasi dini, serta kontrol jarak jauh seperti pemutusan aliran listrik saat bahaya terdeteksi. Berdasarkan hasil pengujian yang telah dilakukan, sistem ini menunjukkan kinerja yang sangat baik dengan tingkat akurasi pengukuran sistem mencapai 99,46%, serta kemampuan dalam klasifikasi kondisi kelistrikan yang berjalan secara optimal. Integrasi dengan aplikasi Blynk IoT memungkinkan pemantauan dan pengendalian sistem secara real-time dengan akurasi pengiriman data mencapai 100%, tanpa kehilangan paket (packet loss 0%), rata-rata waktu penerimaan notifikasi antara 10,6 hingga 14,7 detik, serta rata-rata latency error sebesar 268,3 ms. Dengan demikian, sistem ini dinilai efektif dalam mendeteksi potensi risiko kebakaran secara dini dan memberikan solusi dalam meningkatkan keamanan instalasi kelistrikan rumah tangga, khususnya di wilayah rawan seperti Kota Tarakan.
Kata Kunci: Blynk IoT, Internet of Things, Kebakaran Rumah, Monitoring Listrik, Rule-Based System

House fire is one of the disasters that often occur in various regions, including in Tarakan City, with one of the main causes being electrical short circuits. This event generally happened in densely populated residential areas due to negligence in monitoring the use of electricity and the lack of an early fire detection system. This research aimed to design a prototype of a home electricity monitoring system based on the Internet of Things (IoT) using the rule-based system method that was able to detect potential fires early. This system involves an ESP32 microcontroller as the main controller, a current and voltage sensor (PZEM-004T) to monitor electrical parameters, and a temperature sensor (thermistor NTC) to identify temperature changes around the device. The data was analyzed using the rule-based system method to determine the status of electrical conditions (normal, alert, or dangerous). The system was equipped with the Blynk IoT application that enabled real-time condition monitoring, early notification delivery, and remote controls such as power disconnection when danger was detected. Based on the test results, the system showed excellent performance with the accuracy of system measurements reaching 99.46%, as well as the ability to classify electrical conditions that run optimally. Integration with the Blynk IoT application enabled real-time monitoring and control of the system with data transmission accuracy reaching 100%, without packet loss (packet loss 0%), average notification receipt time between 10.6 and 14.7 seconds, and average latency error of 268.3 ms. Thus, this system was considered effective in detecting potential fire risks early and providing solutions in improving the safety of household electrical installations, especially in vulnerable areas such as Tarakan City. Keywords: Blynk IoT, Internet of Things, House Fire, Electricity Monitoring, Rule-Based System