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M.Pd Asni Tafrikhatin
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Letnan Jenderal Suprapto No.73, Kranggan, Bumirejo, Kec. Kebumen, Kabupaten Kebumen, Jawa Tengah 54311
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INDONESIA
Jurnal E-Komtek
ISSN : 25803719     EISSN : 26223066     DOI : https://doi.org/10.37339/e-komtek.v4i2.269
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.
Articles 306 Documents
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): (In Press)
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): (In Press)
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): (In Press)
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): (In Press)
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): (In Press)
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): (In Press)
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
Analysis of The Effect of Drive Pulley Diameter Variation on Electric Motorcycle Performance Eric Rico Ardiansyah; Puspitasari, Indah; Nanang Romandoni; Prayogo Arie Bowo; Novi Indah Riani; Deni Nur Fauzi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2880

Abstract

The primary objective of this study is to investigate how different sizes of drive pulleys influence the performance of an electric motorcycle equipped with a BLDC motor. This was approached using an experimental technique that combined dynotesting and road testing where three drive pulley diameters of 42T, 44T, and 46T were used. While the road tests were intended to measure the top speed of the motorcycle, the dynotests were aimed at acquiring the necessary data to calculate the torque and power. Based on the results of this study, an increase in the drive pulley's diameter will increase the speed of the electric motorcycle, although it will lower the torque. It was found that the 42T drive pulley offers the greatest torque, which is 16.54 Nm at a power of 5.2 HP, and the 46T drive pulley allows for the greatest speed of 63.37 km/h. It is thus apparent that for performance to be properly tailored to the motorcycle, a balance should be struck in line with the intended purpose, which can either be acceleration or the cruising speed.
An Analysis of Students’ Perceptions and Learning Motivation in a Gamified Learning Management System Nugroho, Adlan; Prih Diantono Abda'u; Antonius Agung Hartono; Joko Purwanto
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2896

Abstract

The use of Learning Management Systems (LMS) in lectures is increasing, but student motivation to learn often poses a challenge. This study aims to examine the effect of gamification in LMS on student motivation to learn and to analyze the relationship between students' perceptions of gamification and their motivation levels. The study uses a quantitative design with measurements taken before and after the implementation of gamification, as well as correlation analysis to examine the relationship between variables. The results show that there is no significant difference between motivation before and after the implementation of gamification. However, perceptions of gamification are positively related to autonomy, connectedness, and achievement, which contribute to increased learning motivation. These findings indicate that gamification has an indirect effect through the reinforcement of psychological aspects that support intrinsic motivation.
Warehouse Re-Layout for a Third-Party Logistics Provider Based on Shipping Patterns Using the Apriori Algorithm Hidayatuloh, Syarif; Br Tarigan, Jenni; Noor Qisthani, Nabila
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2899

Abstract

Warehouse operations face challenges that affect efficiency. PT ABC, a third-party logistics provider, has been experiencing these issues due to an unstructured warehouse layout. It leads to inefficient movement and delayed deliveries. This study aims to re-design the warehouse layout of PT ABC based on shipping patterns using the apriori algorithm. Shipment data from January to June 2024 was analyzed using the apriori algorithm with a minimum support of 30% and a confidence level of 50% to find frequently shipped item combinations. One of the strong associations found was between "Mechanical Components" and "Spare Parts," with a lift value of 1.68. Based on the results, a proposed layout was developed by considering both the FSN (Fast, Slow, Non-moving) classification and apriori findings. The effectiveness of the new layout was evaluated using rectilinear distance calculations, which showed a reduction in total item movement distance from 45,952 meters to 44,343 meters.
Study of the Effect of Simple Filtration Composition of Waste Cooking Oil on the Quality of Biodiesel for Generator Fuel Musyafiq, Afrizal Abdi; Novita Asma Ilahi; Oki saputra
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2908

Abstract

Used cooking oil has great potential as a raw material for biodiesel due to its abundant availability and low price, but its quality often decreases due to high free fatty acid and impurities content. This study aims to examine the effect of variations in simple filtration compositions on improving the quality of used cooking oil before the conversion process into biodiesel. The filtration process was carried out using a combination of simple media such as activated charcoal, fine sand, and zeolite in certain ratios. The parameters tested included the density value at 15°C (kg/m³), the kinematic viscosity value at 50°C (mm²/s), and the calorific value (kcal/g) of the produced biodiesel. The experimental method involved several variations in filtration compositions followed by a standard transesterification process. The results of the study showed that the optimal filtration composition was able to produce B40 biodiesel at a temperature variation of 50-60 15°C with a density value of 868.5 kg/m³, a kinematic viscosity of 3,570 mm²/s, and a calorific value of 9772.4 kcal/g according to the standard range of SNI 7182:2015. In addition, biodiesel from simply filtered used cooking oil can be used as a generator fuel with an energy efficiency performance of 34.79% in an 8.5 kVA generator test. This finding provides an alternative for simple, inexpensive, and environmentally friendly used cooking oil processing to support the availability of renewable energy.