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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 31 Documents
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Search results for , issue "Vol 9 No 1 (2025)" : 31 Documents clear
Clustering of Earthquakes on The Island of Java Using K-Means Algorithm Based on Magnitude and Depth Viki Flendiansyah; Hakim, Dimara Kusuma; Feri Wibowo; Agung Purwo Wicaksono
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2397

Abstract

Indonesia is one of the countries with a high level of earthquake vulnerability because it is located in the Pacific Ring of Fire. Java Island, as the most populous region and the center of the national economy, has a great risk of earthquake impacts. This study aims to analyze earthquakes in Java Island during the 2019-2024 period using the K-Means algorithm. Clustering the data based on magnitude, depth, location, and time of occurrence resulted in three clusters that reflect the characteristics of earthquakes in the region. This clustering provides important insights into the distribution and intensity of earthquakes in Java. The information obtained can be used to support disaster mitigation efforts more strategically. The government and community are expected to be able to increase preparedness for disaster risks and design effective mitigation policies to minimize the impact of future earthquakes. This research shows the great potential of applying data-driven technology as a basis for decision-making in disaster mitigation in Indonesia.
A Herman Bedi Agtriadi; M Habibi; Zakiyah Misfazilah
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2501

Abstract

Breast cancer is the most common cancer globally with a malignant category that poses a serious and frightening threat to women. According to data from Globocan. In Indonesia alone in 2022 the number of new cases of breast cancer reached 66,271 cases, thus contributing (30,1.6%) of the total cancer cases in Indonesia. Of the cases with more than 22 thousand deaths, breast cancer is the second most deadly cancer. 70% of breast cancer cases are detected already at an advanced stage, where this case can occur due to delays in medical personnel who have not been able to detect breast cancer manually. This requires technology to help doctors and radiologists to evaluate Magnetic Resonance Imaging (MRI) images automatically. One of the deep learning methods useful for MRI image analysis is Convolutional Neural Network (CNN) using VGG19 and AlexNet architecture which has been proven in the classification process. This study uses data from Kaggle with a total of 1400 data. Through the use of the Convolutional Neural Network method, this study obtained a fairly optimal accuracy on the VGG19 architecture of 99% and on the AlexNet Architecture of 97%.
Implementation of YOLO V8 Algorithm in Organic and Anorganic Waste Detection Application for Waste to Energy Management Arvio, Yozika; Kusuma, Dine Tiara; Sangadji, Iriansyah BM
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2310

Abstract

Waste management in Indonesia is a major challenge, especially in the development of waste to energy (WTE). Accurate classification of organic and inorganic waste is required to optimise energy conversion. This research develops an automated waste detection system in temporary landfill sites (TPS) using the YOLOv8 algorithm, known for its high speed and accuracy. The research involved data collection, development of a YOLOv8-based computational model, and system construction and testing according to field requirements. The results show that YOLOv8 has high performance in detecting organic and inorganic waste, with 99.35% accuracy, 98.6% precision, 98.6% recall and 98.5% F1 score. This system can speed up the waste sorting process and has the potential to be used in domestic and public environments for the automatic detection of waste categories.
Application of Random Forest Classification Method in Determining the Best Quality Service in the Implementation of International Certification at ITCC ITPLN Hendra Jatnika; Luqman Luqman; Mochamad Farid Rifai; Nasya Miranda Umar
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2349

Abstract

Information Technology Certification Center or also known as ITCC is one of the work units owned by the Institute Technology of PLN which is a unit that organizes training and international certification. In order to improve the quality of service from the activities that have been organized by ITCC, the ITCC committee always prepares a link for participants to write feedback which will later become material for evaluation by ITCC. In this study, 2,720 data were used which were divided into 2 categories, namely 1,884 data with positive sentiment categories and 836 data with negative sentiment categories. The data is processed using the Random Forest method in order to find out the optimality of knowing the method. The final result obtained from the application of the Random Forest classification method is an accuracy percentage of 88.97% with a precision value of 0.92, recall of 0.91, and f1 score of 0.92
A Single Image Dehazing using U-Net and Lightweight Vision Transformer Aditya, Dion; Yosrita, Efy
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2352

Abstract

This research presents a single-image dehazing method that integrates a Lightweight Vision Transformer (LVT) and U-Net to capture both local and global features. LVT enhances resolution, U-Net extracts local features, and LVT refines global dependencies before fusion. Evaluations on O-Haze and HSTS datasets show PSNR scores of 27.88 (O-Haze, ResNet-50) and 28.22 (HSTS, no backbone), outperforming existing methods while maintaining competitive SSIM. The results demonstrate effectiveness in real-world haze scenarios, such as wildfire-induced haze in Indonesia.
Visual Inspection of Welding Joints: Analysis of the Causes of Welding Defects and Solutions for Repair. Firmansyah Sulistiyono; Susilawati; Muhamad Kamaludin; Fauzaan Dwi Nugroho Raharjo
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2462

Abstract

The development of technology in the increasingly advanced construction sector cannot be separated from welding, because it has an important role in metal engineering and repair.. There are several factors that affect the quality of welding results, including welding procedures, materials, electrodes, and types of welds used. Inspection of welding results can be done in several ways, one of which is by visual inspection. The TWI Acceptance Criteria standard is used as a reference in determining the quality of welding results in this study. The results of the study showed that four out of five welding defects did not pass the test. This indicates the importance of mastering welding techniques and quality control in the production process. A welder must have competencies that are in accordance with the specifications of his work. Routine inspections and the use of reference standards such as the TWI Acceptance Criteria should be applied to ensure the quality of welding results, both on an educational, training, and industrial scale.
Develop Total Productive Maintenance Checklists using Functional Based Approach 'Adil, Nur Muhammad Malikul; Rian Dwi Aji Saputro
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2468

Abstract

Total Productive Maintenance (TPM) is the most popular maintenance method in manufacturing industry. There are 8 TPM pillars, two of them are performing autonomous maintenance (AM) and preventive maintenance (PM) with specific guidance, which is called TPM Checklists. For well-established technology, the checklists are provided by machine vendor, and the users only need to follow them. However, for customized technology, users need to create the checklists by themselves. This situation requires specific guidance how to develop it. This research studies how to develop TPM checklist using functional based approach. Research was conducted by making TPM checklists for disc milling machine, then the developed checklists were validated to the existing TPM checklist built by the previous researchers. Results showed that the accuracy level reached 91.67%. It means that functional based approach can be an alternative solution to create and develop TPM checklists
Ransomware Attack Analysis in Cybersecurity Stefanus Eko Prasetyo; Heru Wijayanto Aripradono; Ricardo
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2279

Abstract

Ransomware attacks have emerged as a significant threat to computer security in the digital age. This research aims to analyze ransomware attacks within the context of cybersecurity, specifically focusing on the impact of such attacks on an organization's database infrastructure. The study involves simulating ransomware attacks using techniques commonly employed by attackers in real-world scenarios. It includes a comprehensive literature review, case observations of previous ransomware attacks, and system simulations to understand the nature of these attacks and their potential consequences. The research highlights the need for effective mitigation strategies to safeguard critical organizational infrastructure and provide insights into strengthening defenses against ransomware. The findings of this study are expected to contribute to the development of more effective and sustainable cybersecurity strategies to address the growing complexity of cyber threats and ensure the operational continuity of organizations.Keywords: Ransomware attacks, Cybersecurity, Database infrastructure
Implementation of Hybrid Recommendations in the Standardized Student Internship Assessment System At ITPLN Octaviasari, Afifah Nurlita; Agtriadi, Herman Bedi; Luqman; Jatnika, Hendra
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2287

Abstract

Student internship assessment is an important aspect of higher education, requiring objective and accurate standards. This research examines implementing a hybrid recommendation system to improve the internship assessment process at ITPLN. The hybrid recommendation method combines content-based and collaborative approaches so that it can provide more relevant and personalized recommendations. Through analysis of previous assessment data and feedback from students and supervisors, this system is designed to assess student performance more comprehensively. The research results show that the use of a hybrid recommendation system can increase accuracy and fairness in assessments, as well as provide additional insight for supervisors in providing evaluations. Thus, this research contributes to the development of better assessment systems in the context of professional education, especially in the fields of engineering and technology. It is hoped that the implementation of this system can become a model for other institutions in optimizing the student internship assessment process.
THE The Application of TOPSIS Method and Djikstra Algorithm in The Development of Potential Tourist Attractions on The Jakarta to Dieng Route Wiwit Rifayanto; Luqman; Herman Bedi; Rizqia Cahyaningtyas
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2289

Abstract

Finding the optimal route for several vehicles in determining destinations according to their travel needs, such as serving customers, finding places for tourism, finding destinations for personal, family, or community touring, or logistical distribution, has become an essential need today. Route selection with considerations of fuel cost savings, tolls, regional levies, dining or rest stops, and fuel refilling stations (gas stations) is also a critical basis for achieving travel objectives. This research was conducted through surveys of alternative routes from Jakarta to Dieng in Central Java, and interviews with motorcycle users for this journey (Motor Touring) conducted by a motorcycle community. The application of the TOPSIS method, which is then compared with the results of the Dijkstra Algorithm in determining a route, can be a solution in route selection, in this case, the route from Jakarta to Dieng (Central Java). Alternative routes with attributes such as route, travel time, road conditions, fuel refilling locations, and rest stops for meals or just drinks become significant factors considered by motorcycle enthusiasts for touring to a region. The selection of the right route recommendation makes this route the primary choice for motor vehicle users, with the busy traffic on this route positively impacting the local residents, who were previously vegetable or fruit farmers, by providing additional income through selling snacks, ready-to-eat meals, coffee, parking, rest areas, toilets, and necessities for the stay in Dieng, such as gloves, hats, and jackets.

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