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Journal : Journal of Technomaterial Physics

Study and Characterization of Pump Control System Tools in Mini Open Channel Water Flow Simulator Sirenden, Bernadus Herdi
Journal of Technomaterial Physics Vol. 2 No. 2 (2020): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v2i2.5398

Abstract

This study aims to study the characterization of the pump control system in a mini open channel water flow simulator. This pump control system aims to facilitate operators in controlling pumps based on the Internet of Thing (IoT). The sample in this study focuses on red objects, where the sample can be monitored through a recording device that has been provided, and can be made in the form of realtime graphics. The results showed that in the simulator trial, the pump control system and the recording device were in the good category. After repairs are made, the development results are in the very good category, because they produce accurate results on the pump control system. Thus, the pump control system can be used and developed for large-scale canal water flow.
Rain Measurement Simulation Using the Hall Effect Flow-Meter Sirenden, Bernadus Herdi
Journal of Technomaterial Physics Vol. 2 No. 2 (2020): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v2i2.5400

Abstract

The sensor analysis or flow-meter measuring instrument has been successfully carried out on the signal output to see the stability or accuracy of a measurement. The flowmeter measurement value was analyzed using a rainfall simulator. The rainfall intensity value will then be predicted using the Kalman filter. Kalman filters can predict various data or output signals so that the measurement results can be more stable and accurate. This research methodology consists of several stages, namely the stages of literature study, designing research tools and components, designing systems, making or assembling tools, testing all components, programs and testing the flow-meter output signal record. The flowmeter is controlled by the Arduino Nano microcontroller. Tests were carried out in this study ten times, with a time span of 60 seconds for each experiment. The increase in water flow was detected by the flow-meter which was then captured by the hercules application and the data was then copied to Ms. Excel. After the rainfall intensity value is obtained, the value will be estimated using the Kalman filter. The estimation results will show the stability and accuracy value of the flow-meter.
Development of Camera-Based Rainfall Intensity Measurement Tool with Fourier Transform Analysis Sirenden, Bernadus Herdi; Manao, Arisman; MN, Nasruddin
Journal of Technomaterial Physics Vol. 3 No. 2 (2021): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v3i2.5407

Abstract

In this research, the development of a camera-based rainfall intensity measuring instrument with the Fourier Transform Analysis has been carried out. The ESP32 CAM Microcontroller was used to capture images and record rainfall videos. The research objective was to design a development model for measuring rainfall intensity, understanding the working principle of the tool, and knowing the histogram of the rainfall intensity video recording produced by the rainfall intensity detection tool. The research consisted of several stages, namely literature study, design of research tools and components, system design, assembly of tools, testing of all components, programs and screen record testing and image capture. The design model for the development of a measuring instrument for rainfall intensity that has been made is that when water flows through the shower there will be rainfall. The process of rainfall will be captured and recorded by the ESP32 CAM Microcontroller which is accessed via a computer device. Experiments were carried out ten times, with a time span of 60 seconds per experiment and an increase in rainfall every minute, then the data was processed using python software in the form of a histogram (grayscale), which would be analyzed using the Fourier Transform Analysis method. The results showed that the development of a camera-based rainfall intensity gauge has worked well.