Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Embedded Systems, Security and Intelligent Systems

Pengembangan Aplikasi Finding Tutor Berbasis Android Muhammad Asdar; Mustari S. Lamada; Muliadi
Journal of Embedded Systems, Security and Intelligent Systems Vol 1, No 1 (2020): May 2020
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menghasilkan aplikasi media informasi bimbingan belajar untuk masyarakat atau tutor berbasis android, serta untuk memberikan kemudahan bagi pelajar dan tutor dalam memperoleh informasi bimbingan belajar dan untuk mengetahui tanggapan pengguna terhadap aplikasi sebagai media informasi. Model pengembangan yang digunakan dalam penelitian ini adalah prototype yang terdiri dari beberapa tahapan, yaitu: analisis kebutuhan, membangun prototyping, evaluasi prototyping, mengkodekan sistem, menguji sistem, evaluasi sistem dan menggunakan sistem. Hasil dari penelitian ini adalah 1) bentuk penyajian infromasi bimbingan belajar kepada masyarakat menggunakan aplikasi berbasis android. 2) aplikasi anandaprivat mendapatkan tanggapan yang sangat layak dari pengguna berdasarkan pengujian perangkat lunak menggunakan ISO 25010 pada aspek usability. 3) hasil pengujian aplikasi menggunakan iso 25010 pada aspek functional suitability, performance efficiency, compatibility dan portability aplikasi berkualitas baik
Development of an IoT-Based Home Security System Prototype Using Multisensors and ESP32-CAM Jumita Nannung; Alimuddin Sa'ban Miru; Muliadi; Gunawan
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8456

Abstract

Advancements in information technology have driven the development of home security systems based on the Internet of Things (IoT). This study aims to design a home security system using ESP32-CAM, multisensors, and Telegram for real-time monitoring. The system features face recognition using the Haar Cascade and LBPH algorithms, along with DHT22 and MQ-2 sensors to monitor temperature, humidity, and hazardous gases. The development method used is the prototype model. Testing results showed a face recognition accuracy of 95.31% and the ability to detect temperatures above 40°C and gas concentrations exceeding 300 PPM. The system performs optimally at a distance of 35–150 cm but is limited by extreme lighting and facial angle variations. In conclusion, the system enhances home surveillance effectiveness through real-time monitoring and reliable remote access control
Internet of Things (Iot)-based Overcurrent Protection and Detection Device for Household Eletrical Safety Muliadi; Muhammad Mahdinul Bahar; Aulia Sabril; Muhammad Riska
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.11715

Abstract

The increasing risk of electrical fires caused by overcurrent, overheating cables, and the lack of early monitoring mechanisms in conventional household electrical protection systems has become a significant safety concern, as most protection devices only disconnect power without providing real-time monitoring or early warnings. This study aims to develop an Internet of Things (IoT)-based electrical protection system capable of detecting abnormal electrical conditions and providing early warning notifications. The system uses an ESP32 microcontroller integrated with several sensors, including the PZEM-004T sensor to monitor electrical parameters, the DS18B20 sensor to detect cable temperature, the MQ-2 sensor for smoke detection, and a flame sensor for fire detection. The research methodology includes system design, hardware and software integration, and performance testing through sensor functionality tests and response time measurements. The testing results show that the PZEM-004T sensor measured voltage in the range of 212.50–213.60 V and current around 1.95–1.96 A during testing. The DS18B20 sensor recorded temperatures between 27.81°C and 28.94°C with an average response time of 12.05 seconds when the threshold was exceeded. The MQ-2 sensor achieved a 100% success rate in detecting smoke, while the flame sensor detected fire in approximately 85% of the trials, with response times of 1.4 seconds and 1.7 seconds before triggering automatic power disconnection via a relay. The system also transmitted monitoring data and warning notifications through a web application and Telegram using cloud-based IoT communication, demonstrating its potential to improve household electrical safety through integrated monitoring, automatic protection, and early warning notifications.