Hastuti
Department of Electrical Engineering, Universitas Negeri Padang, Indonesia

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Prototype of smart parking system for Bukittinggi city parking buildings based on Arduino Roland Dwi Yonil; Hastuti; Citra Dewi; Juli Sardi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/qjvada24

Abstract

The parking system currently used in the Bukittinggi City parking building is not effective in managing parking, because it does not provide real-time information about the availability of parking spaces. As a result, use of parking spaces is often suboptimal, with some parking spaces remaining empty while others are full. This research aims to develop and test a system that is able to manage parking availability in real-time to maximize the use of existing space. Test results show that this system functions well and provides accurate results, which is very much needed in a tourist city like Bukittinggi. Overall, this system offers an efficient and practical solution to overcome parking challenges in big cities, and has the potential for further development, including integration with automatic payment systems and the use of more sophisticated sensors. This research shows that the Arduino-based Smart Parking system Uno in the Bukittinggi City parking building has succeeded in increasing the efficiency of parking space management. By using components such as push buttons, thermal printers, servo motors, limit switches, and LCD I2C displays, this system provides real-time information about parking availability, making it easier for motorists to find parking spaces quickly
Remote monitoring and watering system for Red Onion Plants through Telegram based on IoT Ahwal Rahmat; Hastuti
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jp5gdg72

Abstract

Red onion (Allium cepa L.) is an important horticultural commodity in Indonesia that is vulnerable to air pollutants, especially dust and dew that can disrupt the photosynthesis process and trigger diseases such as fusarium wilt. This research aims to design a remote monitoring and watering system based on Internet of Things (IoT) using ESP32-CAM. The system automatically takes images of red onion leaves every morning and sends them to the farmer's Telegram, allowing farmers to analyze leaf conditions and activate remote watering if necessary. This system not only improves monitoring efficiency and decision-making but also reduces excessive pesticide use due to delayed handling. Thus, this system is expected to be an innovative and sustainable solution in supporting smart farming practices for red onions in highland areas. Keywords—Red onion, IoT, ESP32-CAM, Telegram, Monitoring.
Internet of Things-based fire alarm monitoring system for industrial electrical panels Zikri Kurnia M Fauzi; Fadhli Ranuharja; Riki Mukhaiyar; Hastuti
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp15-21

Abstract

Industrial electrical panels play a crucial role in electrical systems, particularly in power distribution and electric machine control panels that operate continuously during production processes. However, they also pose a potential fire hazard due to factors such as human error or equipment malfunction, including high temperatures, gas leaks, or undetectable installation errors. This study aims to design a fire alarm monitoring system based on the Internet of Things using an ESP32 microcontroller integrated with a DHT22 temperature and humidity sensor, an MQ-2 gas sensor, and a flame sensor. The research adopts an experimental method. A three-phase distribution panel is used in this study. Based on the test results, sensor data can be displayed in real time through an LCD and the Blynk application, and automatically logged to Google Sheets. The results demonstrate that the system is capable of detecting hazardous conditions and providing early warning alerts via an alarm