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All Journal Journal of Industrial Automation and Electrical Engineering
Juli Sardi
Department of Electrical Engineering, Universitas Negeri Padang, Indonesia
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Early Detection of Floods Using Water Level Sensor Based on the Internet of Things Muhammad Fajar Rizky Ardy; Habibullah; Juli Sardi; Ricky Maulana
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/zfpex030

Abstract

Indonesia is located at the meeting point of two continental plates and is located on the equator, these conditions make Indonesia one of the countries that has a tropical climate with two seasons each year, namely the rainy season and the dry season. The prolonged rainy season due to weather changes that occur in various regions of Indonesia makes people have to be more careful about the possibility of flooding. Therefore, an effort is needed to minimize the loss of life and losses that occur by designing a flood detection system as a monitor of the water surface level. This early flood detection method uses a Tipping bucket which functions to measure the amount of rainfall, a Water Level Sensor which is used as a water level meter, thingspeak as an Internet of Things data webserver, and Solar Panels as a source of battery charging. After testing and analyzing the early flood detection device using the Internet of Things-based Water Level Sensor in flood-prone areas, the conclusion is that the early flood detection device functions effectively and the results obtained are in line with the objectives and performance of the device.
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
IoT-based infusion monitoring system with blood detection and automatic flow rate control Zaky Pradana Ihsan; Juli Sardi
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.pp118-126

Abstract

The advancement of technology has driven innovation in health monitoring systems based on Internet of Things(IoT), offering convenience and efficiency in patient condition monitoring. This study develops an IoT based system for monitoring the volume of Nacl (saline) infusion and detecting blood reflux in the infusion tubing to enchance patient care effectiveness. The system utilizes a Wemos D1 Mini microcontroler connected to the blynk application, enabling medical personnel to monitor and control the infusion process in real-time via smartphone. The system is equipped with a Load Cell sensor to measure infusion volume, an LDR sensor to detect blood reflux based on changes in light intensity, and a photodiode sensor to calculate infusion drip rate. Additionally, a servo motor is used to relugate the infusion flow rate by adjusting the pressure on the tubing. All collected data is transmitted in real-time to the IoT platform, allowing healthcare workers to perform continuous monitoring without repetitive manual checks. Testing result show that the system accurately monitors infusion volume, detects blood reflux, and controls drip rate. the implemetation of this device improves monitoring efficiency, accelerates response to changes in patient condition and reduces the potential for human error, The success of this system contributes to the advancement of healthcare technology, particularly in hospital patient monitoring and intensive care settings.
Co-Authors Citra Dewi Habibullah Hastuti Muhammad Fajar Rizky Ardy Ricky Maulana Roland Dwi Yonil Zaky Pradana Ihsan