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SmartElectra: Sistem Cerdas Pengendali Aliran Listrik Berbasis Android untuk Otomasi Rumah Modern Ida Ernawati; Trisno Sanyoto; Setyo Hartono; Lawrence Adi Supriyono
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6220

Abstract

In the digital transformation era, the demand for automation in household electrical systems continues to grow to improve energy efficiency and user convenience. Traditional manual control of electrical devices is considered inefficient and lacks integration with current smart technologies. This research addresses the problem by designing a smart electrical control system, SmartElectra, which allows users to remotely monitor and control the flow of electricity using an Android-based application. The system integrates the ESP32 microcontroller, a relay module, and a Wi-Fi network to receive and execute commands from the mobile application. The Android interface was developed using MIT App Inventor, enabling seamless wireless communication with the hardware. Testing was conducted to evaluate the system’s responsiveness, control accuracy, and communication range in a typical residential setting. Results show that SmartElectra effectively controls electrical loads with an average response time of 1.2 seconds and reliable operation within a 20-meter range. With its dual-core processing power and built-in wireless capabilities, the ESP32 provides a robust and scalable foundation for smart home applications. This system presents a cost-effective, user-friendly solution that enhances energy management and remote control in modern households.
SmartBin Medis Berbasis AI dan Edge Computing untuk Manajemen Limbah Klinis yang Higienis Safira Fegi Nisrina; Lawrence Adi Supriyono; Basuki Rahmat
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6385

Abstract

Medical waste presents a serious threat to health and the environment if not properly managed, especially in clinical facilities that require high hygiene standards. Manual waste disposal is still commonly practiced, which increases the risk of cross-contamination and reduces operational efficiency. This research aims to design and develop an automated and hygienic SmartBin system for medical waste using Artificial Intelligence (AI) and edge computing technologies without relying on internet connectivity. The system employs distance and weight sensors controlled by an Arduino Uno R3 microcontroller, along with a local image recognition module to classify medical waste based on type. All classification and system responses are processed locally to ensure fast and independent operation. A notification feature using visual and audio indicators is included to alert staff when the bin is full or when hazardous waste is detected. Testing conducted in a simulated clinical environment demonstrated a classification accuracy rate of 92% and reduced direct human contact by up to 85%. This study concludes that the SmartBin system, powered by AI and edge computing and supported by the Arduino Uno R3, offers an effective solution for improving hygiene and safety in medical waste management.