cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M.Pd Asni Tafrikhatin
Contact Email
asni@politeknik-kebumen.ac.id
Phone
+6285643500965
Journal Mail Official
asni@politeknik-kebumen.ac.id
Editorial Address
Letnan Jenderal Suprapto No.73, Kranggan, Bumirejo, Kec. Kebumen, Kabupaten Kebumen, Jawa Tengah 54311
Location
Kab. kebumen,
Jawa tengah
INDONESIA
Jurnal E-Komtek
Published by Politeknik Piksi Ganesha Indonesia
ISSN : 25803719     EISSN : 26223066     DOI : https://doi.org/10.37339/e-komtek.v4i2.269
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal E-Komtek (Elektro-Komputer-Teknik) is a Journal that contains scientific articles in the form of research results, analytical studies, application of theory, and discussion of various problems relating to Electrical, Computer, and Automotive Mechanical Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 32 Documents
 1   2   3   4 
Search results for , issue "Vol 9 No 2 (2025)" : 32 Documents clear
Comparative Analysis of Expert System Methods for Early Diagnosis of Online Game Addiction A Systematic Review Noka Prakasa Rhomadona; Luqman
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2699

Abstract

The phenomenon of online game addiction has become a serious problem that requires early detection and prevention. This study aims to analyze and compare several expert system methods that have been applied to diagnose online game addiction, to provide an overview of the most effective and efficient methods. The methods analyzed include Backward Chaining, Forward Chaining, Certainty Factor, Euclidean Distance, Fuzzy Tsukamoto, Fuzzy Sugeno, Fuzzy Mamdani, Case-Based Reasoning, and K-Nearest Neighbor. Based on a review of 15 literature sources, the results of the analysis show that the diagnostic accuracy of each method varies. Certainty Factor achieves an accuracy of 79-81.2%, the combination of Certainty Factor and Forward Chaining reaches 99.64%, Backward Chaining and Certainty Factor at 80%, while Fuzzy Tsukamoto with Fuzzy Sugeno and Case-Based Reasoning is able to achieve perfect accuracy of 100%. The conclusion of this study shows that hybrid methods that combine fuzzy inference and reasoning techniques, such as Fuzzy Tsukamoto-Fuzzy Sugeno and Case-Based Reasoning, show a very high level of accuracy and have the potential to be the most effective approach for an expert system for diagnosing online game addiction, mimicking the diagnostic capabilities of a psychologist.
RANCANG BANGUN ALAT PENGHITUNG BIBIT IKAN LELE BERBASIS MIKROKONTROLER Engla Desita; Endah Fitriani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2702

Abstract

Catfish farming in Indonesia has significant potential; however, conventional methods of counting fish fry still face various challenges, such as the considerable time required and a high risk of errors. This study aims to design and build an automatic counting device for catfish fry based on the Arduino Mega 2560 microcontroller, integrated with an E18-D80NK infrared proximity sensor and a DS18B20 temperature sensor. The device is specifically designed to count catfish fry measuring between 6 to 8 cm, where the infrared proximity sensor is used to count the number of fish fry passing through, while the DS18B20 sensor functions to detect the water temperature in the holding tank. The operational process of the device includes inputting the number of fry via a 4x4 keypad, opening the counting path using a servo motor, measuring the water temperature, displaying data on a 16x2 LCD, and closing the path after the counting process is completed. The test results indicate that the DS18B20 sensor has an accuracy of 97.68% with an average error of 2.32%, while the infrared proximity sensor achieves an accuracy of 89.08% with an average error of 10.92%. This device successfully counts the number of catfish fry automatically, monitors the water temperature, and displays information in real-time on the LCD. Therefore, the catfish fry counting device based on the Arduino Mega 2560 is expected to enhance time and labor efficiency, as well as minimize errors in the counting and distribution processes of catfish fry.
APLIKASI METODE CONSTANT CURRENT PADA SISTEM PENGISIAN BATERAI LEAD – ACID BERBASIS FAST CHARGING Metasari, Ella; Endah Fitriani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2717

Abstract

Air pollution caused by fossil fuel-powered vehicles has a significant impact on public health and the environment, encouraging the transition to electric vehicles in accordance with Presidential Regulation No. 55 of 2019. Electric vehicles use batteries as their main energy source, making a safe charging system essential to prevent overcharging. This study designs a lead-acid battery fast charging system based on the Constant Current (CC) method with a constant current of 2.7 A, equipped with an automatic cut-off. Testing was conducted through field observation, interviews, and literature review. Results show that the charging time is only ±3 hours 13 minutes, significantly faster than the conventional method (10 hours), with component measurements within tolerance limits. The PZEM-017 and voltage divider sensors accurately read voltage according to the datasheet. This system proves to be efficient, safe, and capable of preventing battery damage due to overcharging.
Optimization of Perturb and Observe Algorithm Efficiency in MPPT PV Array System Using Boost Converter: A Simulink-Based Investigation Abdillah Aziz Muntashir; Prasetyani, Lin; Surawan Setiyadi; M. Irkam Baihaqi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2769

Abstract

The increasing demand for renewable energy requires efficient power conversion and control strategies to maximize the utilization of photovoltaic (PV) systems. Among various approaches, Maximum Power Point Tracking (MPPT) is critical in ensuring optimal energy extraction under varying irradiance and load conditions. This study focuses on optimizing the efficiency of the Perturb and Observe (P&O) algorithm implemented in a PV array system with a DC–DC boost converter. A comprehensive Simulink-based investigation is conducted to analyze the algorithm’s performance in terms of tracking speed, stability, and steady-state oscillation. The results demonstrate that the optimized P&O method significantly improves the dynamic response of the boost converter while maintaining high tracking accuracy under irradiance fluctuations and load variations. Furthermore, this work is presented as a preliminary study prior to the integration of MPPT control with a PLC-based monitoring system, providing a reliable foundation for real-time industrial applications. The findings contribute to the enhancement of PV system efficiency and offer valuable insights for future implementation in smart energy management platforms.
Analisis Perbandingan Kinerja Pengereman ABS Menggunakan Fuzzy Logic Controller dan Bang-Bang Control pada Kondisi Jalan Kering dan Basah Ilhamdan Prima, Dhovan; Kholid, Ismail; Nasrullah, Hamid
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2804

Abstract

In this study, The effectiveness of the Anti-Lock Braking System is evaluated by comparing bang-bang control with fuzzy logic control. ABS plays a crucial role in vehicle safety, as it manages braking torque to ensure wheel slip remains at an optimal level, preventing the wheels from locking and maintaining control of the vehicle. A mathematical ABS model was implemented and analyzed using MATLAB/Simulink simulations to examine how both controllers behave. The simulation outcomes highlight that fuzzy logic control performs better than bang-bang control, with advantages such as shorter stopping distances, faster braking responses, and more stable slip control.
Mechanical Hazard Simulator of PLC-Based Automation Technology According to ISO 12100 'Adil, Nur Muhammad Malikul; Saputro, Rian Dwi Aji; Ashari, Firdaus
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2834

Abstract

Automation technology is expected can enhance productivity, reduce unnecessary cost, and avoid the potential upcoming accidents. However, many automation machineries don’t fulfil safety requirements and have no third party safety certification. This situation requires internal risk assessment as a gate before technology deployment in order to reduce potential hazardous events. This research applies internal risk assessment of Programmable Logic Controller (PLC)-based automation technology according to ISO 12100. Mechanical hazard simulator is built to describe the potential hazard and estimate risk level. Alternative solutions for technology retrofit is selected and built to reduce risk level. At the end of the research, risk level comparison is presented as the evidence of risk level reduction.
Design and Implementation of an IoT-Enabled Deep Learning Vision System for Automated Dimensional Measurement in Smart Manufacturing Nugroho, Waluyo; Afianto; Agus Ponco
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2855

Abstract

The rapid advancement of Industry 4.0 has brought the convergence of Internet of Things (IoT), computer vision, and deep learning to enhance automation and precision in manufacturing. This paper presents the design and implementation of an IoT-enabled deep learning vision system for automated dimensional measurement, integrated with programmable logic controller (PLC) control and real-time monitoring. The system employs a Raspberry Pi 5 as an edge computing unit, Logitech C270 camera for visual data acquisition, and an Omron CP2E PLC for process control. A YOLOv5 deep learning model is trained to detect and measure object dimensions with sub-millimeter accuracy. The Node-RED platform is utilized for dashboard visualization and communication, interfaced through Omron FINS protocol, with MySQL as the database for data logging. Experimental results show a high detection accuracy of 98.6% and an average measurement error of less than 0.5 mm, demonstrating the system’s effectiveness for smart manufacturing applications.
Development of Digital Twin Modeling for Smart Factory using OpenPLC-Based Control System Arifianto, Mada Jimmy; Afianto; Waluyo Nugroho
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2856

Abstract

This research discusses how to design and develop Digital Twin modeling in a Smart Factory system with an OpenPLC-based control system. The main problems in conventional manufacturing systems are limited production line flexibility, difficulty in monitoring and controlling complex devices, and process visualization that is limited to technical data without a real depiction. Through the design of a laboratory-scale mechanical system, the creation of a control board based on an STM32H7 microcontroller with an OpenPLC platform, and the development of a Digital Twin application using Three.js and Node.js, this research produces a Smart Factory prototype that can be visualized in three dimensions and operated in real time via a local network or the internet. Test results show that the system is able to display sensor conditions, control actuators, and accelerate decision-making with shorter response times. The implementation of this system supports production process efficiency and offers an alternative industrial automation solution that is economical, flexible, and more intuitive in the implementation of digital transformation.
Optimization of Photovoltaic Performance Through the Implementation of a Photodiode-Controlled Dual-Axis Solar Tracking Mechanism Dewi, Riyani Prima; Saepul Rahmat; Betti Widianingsih; Gilang Saputra; Afrizal Abdi Musyafiq; Novita Asma Ilahi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2865

Abstract

Indonesia has abundant renewable energy resources that support efforts toward energy independence and long-term energy security. However, photovoltaic (PV) modules are commonly installed in a fixed orientation, which limits solar energy absorption as irradiance varies with the sun’s position. To address this issue, this study employs a photodiode-based dual-axis solar tracking system capable of continuously aligning the panel with the sun’s trajectory. The photodiodes detect the direction of incoming sunlight, enabling real-time orientation adjustments to improve energy harvesting. Experimental results show that the dual-axis tracker produces an average output of 20.51 V and 0.98 A, compared to the static PV module with 19.97 V and 1.07 A.
Honda Vario 125 Engine Modification Performance Analysis Bahtiar Wilantara; Zaky Kurniawan; Muhammad Andre
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2873

Abstract

This study aims to describe the performance of the Honda Vario 125 engine that has undergone modifications to five main components, namely the piston, valve, camshaft, throttle body, and injector. Performance measurements were carried out to determine changes in torque and horsepower after the modifications were applied. The research method used was a quantitative descriptive approach with testing using a dyno test. The test procedure included engine preparation, tool calibration, and the implementation of a full dyno test from idle to maximum speed. The results showed that the engine was capable of producing a maximum torque of 31.36 N m at 3,507 rpm and a maximum power of 20.21 HP at 7,693 rpm. These values ​​indicate an increase in the engine's ability to produce power and thrust at certain speeds. Overall, this study provides an empirical description of the performance characteristics of the Honda Vario 125 engine after mechanical modifications

Page 2 of 4 | Total Record : 32

 1   2   3   4 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 9 No 2 (2025) Vol 9 No 1 (2025) Vol 8 No 2 (2024) Vol 8 No 1 (2024) Vol 7 No 2 (2023) Vol 7 No 1 (2023) Vol 6 No 2 (2022) Vol 6 No 1 (2022) Vol 5 No 2 (2021) Vol 5 No 1 (2021) Vol 4 No 2 (2020) Vol 4 No 1 (2020) Vol 3 No 2 (2019) Vol 3 No 1 (2019) Vol 2 No 2 (2018) Vol 2 No 1 (2018) Vol 1 No 1 (2017) More Issue