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Jurnal Teknologi Elekterika
Published by Politeknik Negeri Ujung Pandang
ISSN : 14128764     EISSN : 26560143     DOI : http://dx.doi.org/10.31963/elekterika
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal Teknologi Elekterika: Jurnal penelitian PNUP sebagai wadah komunikasi ilmiah antar akademisi, peneliti dan praktisi dalam menyebarluaskan hasil penelitian bidang rumpun elektro dan informatika yaitu teknik listrik, energi, elektronika, kontrol, telekomunikasi, komputer dan jaringan, dan Multimedia.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 179 Documents
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Implementation of Intrusion Detection System With Suricata on Ubuntu 22.04 LTS Wahyat, Wahyat; Kudadiri, Parlindungan
Jurnal Teknologi Elekterika Vol. 21 No. 1 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

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

Abstract

This study seeks to put into action and assess the effectiveness of a Suricata based Intrusion Detection System (IDS), on a Linux Ubuntu 22 04 operating system setup. Suricata was selected as the IDS for its features and strong performance, in identifying types of cyber threats. The execution procedure involves setting up Suricata through installation configuring it and conducting tests in a controlled setting. The efficiency assessment entails studying the detection accuracy alarm rate and response time of Suricata when confronted with attack scenarios. The findings, from the research are anticipated to enhance the protection of information systems that operate using Linux as their base platform.
Analysis of Improvement of Distribution Substation Earthing Resistance Values at PT. PLN (Persero) ULP Karebosi Usrha, Ian Maulana; Gaffar, Ahmad; Sultan, Ahmad Rizal
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.v21i2.5099

Abstract

The grounding system at the distribution substation is an essential component closely related to maintaining the reliability of the electrical system. In this regard, this study aims to examine the impact of applying certain grounding methods to improve grounding resistance values at the distribution substation. The research was conducted over five months, from January 15, 2024, to June 15, 2024, at the Pannampu feeder managed by ULP Karebosi. MATLAB GUI was used to theoretically calculate using the Dwight equation related to grounding resistance (Ω) and soil resistivity (Ωm). The results of this study show that the measured grounding resistance values after applying the multiple grounding rod method decreased by 52.49% for the grounding electrode of the lightning arrester GD. KPPKU, 49.45% for the grounding electrode of the transformer body and PHB-TR GD. KPPKU, and 48.94% for the grounding electrode of the lightning arrester GD. KPPDK, which had grounding resistance values of 5.43Ω, 5.44Ω, and 8.42Ω before reconfiguration.
GENETIC ALGORITHM-BASED OPTIMIZATION OF DISTRIBUTED GENERATOR PLACEMENT IN DISTRIBUTION NETWORKS TO MINIMIZE POWER LOSSES An-Nizha, Nurul; Sofyan, Sofyan; Sultan, Ahmad Rizal; Bachtiar, Muh. Imran; Muhammad, Umar; Arni, Sitti
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.v21i2.5101

Abstract

An increase in electrical energy can lead to an increase in power losses and a decrease in voltage in the system. One of the efforts made to reduce power losses that occur in the distribution network is by placing the optimal Distributed Generation (DG) in the right location. Installation of DGs with suboptimal capacity and placement location can result in greater active power losses and further reduce voltage stability. This study discusses the optimization of DG placement in the electric power distribution network using genetic algorithm methods that are known to be effective in solving complex optimization problems. The IEEE 33 bus distribution system, which is a standard system frequently employed in power flow research, was the subject of the case study. The Newton-Raphson method is a commonly used iterative method for power flow analysis due to its accuracy in calculating power flow in electrical networks. The research findings indicate that the most suitable location for two DG units with an injection power of 6,626 MW is on buses 3 and 4. The placement of this DG has the potential to substantially mitigate power losses within the distribution network. The placement of two DG units on buses 3 and 4 results in a more significant improvement in system power losses than the placement of DG units on other buses. Power losses of buses 3 and 4 experienced power losses of 67724.69 MW, while system losses were reduced by 1137621.21 MW, or 5.61 percent.
Implementation of Sentiment Analysis and Social Network Analysis of Twitter User Opinions on Web-Based Political Issues Muharram, Syair; Asriyadi, Asriyadi; Ahyar, Muh.
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.v21i2.5102

Abstract

The functionality of both sentiment analysis and social network analysis on social media such as Twitter or X can holds significant potential for understanding public opinion, especially in political-related issues. Despite its potential, there is currently lack of application that can provide these types of analyses. This research aimed to help to analyse public opinion in the field of political issues by using sentiment analysis and social network analysis techniques that can help to analyse the tendency of public opinion polarity on Twitter or X social media and to visualize the relationship of social media accounts with other social media accounts. The results obtained from this research are web applications that can help in problems related to sentiment analysis and network analysis using libraries from the Python programming language, and NodeJs. Based on the results of blackbox testing and technical testing, it can be concluded that the system that has been built can run in accordance with the predetermined design.
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.
Development of an Agricultural Department Application to Predict Small Chili Prices Maemunah, Maemunah; Utomo, Muhammad Nur Yasir; Nur, Rini
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.v21i2.5104

Abstract

Small chili farmers in Soppeng Regency face challenges in planning production and marketing due to fluctuating prices. To assist various stakeholders, an accurate price prediction system is needed. This research proposes a system solution to predict small chili prices using the Gradient Boosting Algorithm. The Gradient Boosting Algorithm is employed to predict prices based on historical data using tools such as Visual Studio Code, Microsoft Excel, Python, PHP, CSS, and SQL. The dataset used consists of chili price data provided by the Department of Agriculture of Soppeng Regency, covering prices from 2018 to April 2024. The developed prediction system is capable of providing accurate price predictions, aiding farmers, traders, and consumers in production and purchasing planning. This algorithm is highly effective in predicting small chili prices and offers significant benefits to farmers, traders, and consumers in the region. The system was tested using Mean Absolute Error (MAE) and User Acceptance Testing (UAT). The results showed that the prediction error, measured using MAE, was 2730.83. Meanwhile, the User Acceptance Testing yielded a questionnaire score of 86.27%, indicating that the system has excellent performance and is highly suitable for use. It is hoped that this system will provide benefits to the entire community, especially small chili farmers, in production planning.
Development of Learning Media for Pneumatic Control Systems for Separation and Transportation of Goods Based on Programmable Logic Controller (PLC) Aldi, Aldi; Akbar, Muhammad; Hamdani, Hamdani; Najib, Nandy Rizaldy
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.v21i2.5105

Abstract

Pneumatic systems have advantages compared to other systems, pneumatic systems can support quality, productivity and efficiency of work. The research process starts from designing, developing existing tools to testing pneumatic system tools controlled using PLC and HMI. The results show that the design and development process started from adding color sensors and HMI from the system to be created. Then make modeling with the Festo Fluidsim application. After the capitalization is carried out, the hardware assembly is divided into two parts, namely the main and supporting hardware. The main hardware consists of a metal separator system, color separator and robotic arm, while the supporting hardware such as tables, conveyors and control panels. Once the hardware is complete, the PLC and HMI programs are made, the PLC uses MELSOFT Series GX Works2 software and the HMI uses Live Studio software. When the hardware and software are complete, testing and data collection of the tool work are carried out. Tool testing is carried out to determine the required bar pressure with a 100% success rate.
Performance Analysis of On-Grid Solar Power Plant under Various Irradiation and Load Condition Asri, Andarini; Annisa, Annisa; L, Ruslan; Farid, Andi Fahrul
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.v21i2.5106

Abstract

This research aims to analyze the effect of irradiation and load variations on the performance of the 1 kWp on-grid solar power plant at Ujung Pandang State Polytechnic. The research was conducted for 7 days with component testing on May 8, 2024, irradiation variation testing on May 15-17 and June 5-6, 2024, and load variation testing on June 8, 2024. MATLAB GUI was used to theoretically calculate power, PV and GTI efficiency, Yf, Yr, PR, apparent power, and load reactive power. In addition, the MATLAB GUI also displays graphs of the effect of irradiation variations on the performance of solar power plants. PSIM simulation was used to compare the PV power generated with the same irradiation and temperature. The results show that irradiation greatly affects the performance of the solar power plant, where increasing irradiation increases the output power, PV and GTI efficiency, and export power to the grid, which results in an increase in Yf, Yr, and PR. PSIM simulations support these findings by showing a positive correlation between irradiation and PV output power. Load variation also affects the Pf value, where resistive (R) loads have the best Pf (1), while inductive-capacitive (LC) loads have the worst Pf (0.37) due to the high reactive power drawn. Thus, variations in load type affect power consumption and system performance.
Speed Comparation Between Two-wheeled Fuel and Electrically Converted Vehicle Using Simulation Abdussalam, Muhammad Zayyana; Arini, Nu Rhahida; Windarko, Novie Ayub
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.v21i2.5107

Abstract

Revo motorcycle conversion using 2 kW electric motor create slow two-wheeled electric vehicle which only reach 23,3 kph compared to it’s ICE propelled version which could reach 100 kph for equal space on chassis. Faster conversion based on Mio motorcycle using 3 kW BLDC motor resulting 75 kph maximum speed. A novel conversion kit based on Beat motorcycle using equal wattage BLDC motor claimed to be 90 kph which have some mechanism modification. To acquire similar comparison without many mechanism modification, simulation conducted using a pair of equally powered electric motorcycle model compared to it’s ICE motorcycle model. With the same 5.9 kW power rate and 250 kg mass resulting higher motorcycle top speed using ICE propulsion which is 61.959 kph, then the electrically converted motorcycle was 52.840 kph.
Data Acquisition System on Cocoa Bean Fermenter Using ESP32 Based on MQQT Protocol Akbar, Zainal; Yuriadi; Sidehabi, Sitti Wetenriajeng
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.v21i2.5108

Abstract

The fermentation process of cocoa beans is a critical stage in chocolate production that affects the final quality of the product. To ensure that fermentation takes place optimally, monitoring parameters such as temperature, humidity, and pH is necessary. This research aims to develop and validate an Internet of Things (IoT)-based data acquisition system that uses ESP32 and MQTT protocols to monitor the fermentation process of cocoa beans. The system consists of an ESP32 module connected to DHT22 sensors to measure temperature and humidity, and a pH meter to measure acidity. The data collected by the sensors is sent in real-time via a wireless connection to an MQTT broker, where it can be monitored continuously. System testing was conducted in a small-scale fermentation environment. Validation results show that the system is capable of providing accurate and consistent data when compared to manual measurements using standardized tools. The difference between the data collected by the system and manual measurements was within acceptable tolerance limits, indicating that the system is reliable enough to be used in small-scale applications. The system also demonstrated fast response to changes in fermentation conditions, and stable data connection with minimal latency via the MQTT protocol. The developed data acquisition system has successfully acquired data and validated it using standard measuring instruments. The average data error for the pH sensor is 2.78%, temperature sensor 1.41%, and humidity sensor 1.94%. These error values indicate that the performance of the sensors used is good.

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