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Journal : Prosiding Seminar Nasional Inovasi Teknologi Terapan

SISTEM BEL DAN JADWAL PELAJARAN DI SEKOLAH BERBASIS IOT Prasetya, Ariza; Hardiansyah, Hardiansyah; Surojo, Surojo; Silalahi, Parulian
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

The integration of Internet of Things (IoT)-based systems in educational environments represents a strategic approach to improving time management efficiency. This study presents the design and implementation of an IoT-based automatic school bell and class scheduling system, controllable remotely via a mobile application. The system utilizes a NodeMCU ESP32 microcontroller as the main control unit, a DFPlayer Mini for automated audio playback, an LED Dot Matrix display for schedule visualization, and a speaker for audio output. The user interface is developed using the Blynk platform, and all programming is conducted through the Arduino IDE. Experimental results demonstrate that the system operates reliably, rings the bell in accordance with predefined schedules, and displays real-time schedule information. Furthermore, the integration of mobile control enhances user flexibility and operational convenience. This system contributes to the automation and optimization of scheduling tasks within educational institutions.
RANCANG BANGUN ALAT PENDETEKSI GAS BERBAHAYA (GAS CO_2, NOx, DAN HC) BERBASIS IOT Surojo, Surojo; Randa, Apri; Arwin, Rifan Muazin; Br Sebayang, Monischa
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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

Abstract

The increase in industrial activities and motor vehicle usage has led to high emissions of hazardous gases which can negatively impact human health and the environment. Therefore, an effective and real-time gas monitoring system is needed. This study aims to design and develop a hazardous gas detection device based on the Internet of Things (IoT) capable of continuously monitoring CO₂, NOx, and HC concentrations. The system uses MQ-series gas sensors integrated with an ESP32 microcontroller as the main data processor, along with an IoT platform to display measurement results online through a dashboard. The collected data can be accessed in real time via the internet, allowing users to monitor remotely. Testing results show that the device can detect gas concentration changes with good accuracy and fast  response time. This tool is expected to assist in early detection of air pollution and raise awareness of the importance of healthy air quality.