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All Journal INTEK: Jurnal Penelitian EPI International Journal of Engineering Jurnal Teknologi Elekterika
Dharma Aryani
Politeknik Negeri Ujung Pandang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Real-Time Data Acquisition and Monitoring of Three Phase Load Balance in Electricity Distribution Aryani, Dharma; Yusril, Muhammad; Idris, Ahmad Rosyid; Aminah, Nur; Raharjo, Muh. Fajri; Lumembang, Christian
EPI International Journal of Engineering Vol 6 No 2 (2023): Volume 6 Number 2, August 2023
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082023.01

Abstract

A real-time monitoring mechanism for three-phase electrical power distribution panels is essentially needed to ensure that the power is evenly distributed across all phases, so that the efficiency of energy usage could be maintained. This paper presents monitoring and data acquisition system for three-phase balance distribution. The system ensures balanced distribution of electrical power in order to enhance the efficiency and reliability of power systems. It leverages advanced technologies to collect, analyze, and report data, providing valuable insights into the performance of the power distribution network. Data acquisition is established by using sensor PZEM004T to measure the electricity parameters which is integrated with Arduino microcontroller. In addition, real-time monitoring system is visualized through dashboard data management for more informative data acquisition and analytic purposes. The performance is evaluated by testing the instrument and application at a distribution panel within a span of five days to monitor electrical parameters. The results show that real-time monitoring system for three phase balance works perfectly to provide actual data and phase balance condition. The phase imbalance values are higher during the peak working hours where the loads are dynamics and extensively used.
RANCANG BANGUN ALAT UJI PERKOLASI TANAH BERBASIS ARDUINO Aryani, Dharma; Jusriadi, Jusriadi; Ifdal, Fahrul
Jurnal Teknologi Elekterika Vol. 20 No. 1 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i1.4299

Abstract

Water absorption testing through soil percolation test is mostly handled manually. During the testing process, it still requires many people to supervise it, and the reading error rate is still high. Therefore, a measuring instrument that works automatically is needed that can more specifically read the rate of water absorption into the soil accurately. In this final project, the tool is made using Arduino Mega, HC-SR04 ultrasonic sensor, 128x64 LCD, buzzer, NEO6MV2 GPS Module, RTC (Real Time Clock), push button, and Lithium-Ion Battery. The result of this final project is a soil permeability measuring instrument that can accurately measure the rate of water infiltration. Based on the results of design, testing and analysis of the design results, a soil permeability measuring instrument is obtained that can properly measure the rate of water infiltration
Alat Bantu Jalan Tunanetra Menggunakan Sensor Light Detection And Ranging (LiDAR) berbasis Arduino Aryani, Dharma; Gunawan, Arya Irfan; Reski, Reski; Nisa, Khairun; Zubair, Achmad
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4587

Abstract

Walking stick is very important for the visually impaired person. It can help the visually impaired to walk more easily and to navigate the environment feeling safe and confident. Therefore, a cane that can detect object or obstacle is designed using Arduino microcontroller combined with a Light Detection And Ranging (LiDAR) sensor as an obstacle or object detector. Lidar sensors are utilized in visually impaired walkers equipped with notifications and warnings in the form of buzzer sounds and vibrations when obstacles and objects are detected. The walking stick is functioned in three conditions based on the distance of the stick and the object. For distance of 0 to 45 cm, the stick vibrates and emit a sound that reminds the user for the presence of an object. In medium distance, which is a range of 45 to 75 cm, the vibration exist with additional buzzer sound every second will occur i. Furthermore, the stick only vibrates if the object is detected in a distance of 75 to 100 cm. This walking stick can help the visually impaired in carrying out activities more safely and reduce the risk of accidents to users
Usage of Safety Helmet Warning System Using Deep Learning Method Ambarwati, Nur Masyita Ayu; Aryani, Dharma; Asriyadi, Asriyadi
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5103

Abstract

K3 Helmet Usage Warning System Using Deep Method Learning Algorithm YOLOv8 is a technological innovation that combines the advanced object detection method YOLOv8 (You Only Look Once version 8) with the needs of safety in the work environment, especially the use of K3 (Occupational Health and Safety) helmets. This research aims to improve compliance with the use of K3 helmets through an automation approach using Deep Learning technology.The YOLOv8 algorithm is used to detect whether individuals in the work area are wearing K3 helmets or not. The detection results will be processed by the system to provide automatic warnings if individuals do not wearing an OHS helmet according to safety regulations. The use of Deep Learning technology in this method enables fast and accurate detection, contributing to increased awareness and compliance with workplace safety policies.With proper implementation, the system is expected to help create a safer work environment and improve the safety of workers, making the workplace more compliant with established OHS standards.
Real-time Ball Detection and Tracking using Raspberry PI Aryani, Dharma; Dewi, Kartika; Ta.by, Fery; Sanggaria, Evita Putri
INTEK: Jurnal Penelitian Vol 10 No 1 (2023): April 2023
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v10i1.4301

Abstract

This paper presents a real-time system for ball detection and tracking system which is reliable in any conditions. Images from the webcam are processed by openCV library running on a Raspberry Pi to move the camera pan and tilt servo and two DC motors to drive the robot body using the Arduino Nano microcontroller.  The webcam is integrated in a robot prototype to represent the wheel football robot type. The results show that a ball tracking webcam system is obtained with the capability to detect a ball with a diameter of 17cm within a maximum distance of 200 cm, a stable ball reading when the light intensity is at 32 lux and above. Furthermore, the experimental results demonstrated the system’s robustness in detecting and tracking ball in different distance and ligthing conditions.
Co-Authors Achmad Zubair Ahmad Rosyid Ambarwati, Nur Masyita Ayu Aminah, Nur Asriyadi Asriyadi Gunawan, Arya Irfan Ifdal, Fahrul Jusriadi Kartika Dewi Khairun Nisa Lumembang, Christian Muhammad Yusril Raharjo, Muh. Fajri Reski, Reski Sanggaria, Evita Putri Ta.by, Fery