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All Journal Jurnal Inovasi Teknologi Terapan Edu Elektrika Journal
Cornelia, Noni
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Simulasi Pendeteksi Kebakaran Dini Menggunakan Cisco Packet Tracer: Simulasi Pendeteksi Kebakaran Dini Menggunakan Cisco Packet Tracer Cornelia, Noni; Apriliansyah, Muhammad
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.347

Abstract

This study aims to simulate an early fire detection system based on the Internet of Things (IoT) using Cisco Packet Tracer software. The system is designed by integrating a smoke detector, automatic sprinkler, and siren, all connected through a Home Gateway and monitored via a laptop. When the smoke sensor detects smoke, the system automatically activates the sprinkler and siren, and sends a notification to the monitoring center. Several simulation scenarios were conducted to evaluate the system's reliability and response time. The results indicate that the system operates automatically and responsively according to the implemented programming logic. The use of Cisco Packet Tracer allows system development and testing without the need for physical hardware, thus supporting IoT-based learning and research effectively.
Obstacle Avoiding Berbasis Remote Control Cornelia, Noni; Jaka Pratama, Dwi; Zandiyanto, Alex; Mahrijal, Mahrijal; Dwisaputra, Indra
Edu Elektrika Journal Vol. 12 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/y8r25d05

Abstract

Abstract— This project aims to develop a remote-controlled obstacle-avoiding system using the MIT App Inventor application. The system comprises several key components, including an Arduino Uno, an HC-05 Bluetooth module, and ultrasonic sensors. The Arduino Uno serves as the main microcontroller that manages all hardware components. The HC-05 Bluetooth module is used to establish a connection between the system and a mobile application developed with MIT App Inventor. Ultrasonic sensors are utilized to detect obstacles around the vehicle. In its implementation, the MIT App Inventor application is employed to remotely control the vehicle's movement direction via Bluetooth connectivity provided by the HC-05 module. Data from the ultrasonic sensors are processed by the Arduino Uno to measure the distance to obstacles and automatically adjust the vehicle's direction if an obstacle is detected too close. Test results demonstrate that the system can effectively detect and avoid obstacles and can be controlled efficiently through the mobile application. The use of MIT App Inventor allows for the creation of an intuitive and user-friendly interface without requiring complex programming. This system has the potential to be applied to various types of autonomous vehicles and robotics, offering an efficient and easily implementable solution for remote-controlled obstacle avoidance.
Co-Authors Apriliansyah, Muhammad Indra Dwisaputra Jaka Pratama, Dwi Mahrijal, Mahrijal Zandiyanto, Alex