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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 276 Documents
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Design and Implementation of Keyless Entry and Starter Rfid System on Daihatsu Xenia Type Xi Year 2010 Sidik Purnomo; Bahtiar Wilantara; Ismail Kholid; Azka Relief F W
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2139

Abstract

The design and implementation of keyless entry and starter rfid on Daihatsu Xenia Type Xi Year 2010 aims to: 1) Know the tools and materials used in the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010; 2) Understand the steps of the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010; 3) Be able to find out the results of testing the design and implementation of keyless entry and starter rfid on Daihatsu Xenia type Xi year 2010. The research method used is research and development. The steps of making the design include: The process of assembling an Arduino Uno-based rfid system, the process of inputting rfid tag data to the Arduino Uno, the process of assembling the keyless entry module cable to the car's electrical system, combining the keyless entry module with the Arduino Uno-based rfid system, placing the keyless entry module and the rfid system, finishing. Design and implementation of keyless entry and starter rfid on the 2010 Daihatsu Xenia Type Xi as a security feature on the 2010 Daihatsu Xenia Type Xi car. Based on the test results, it can be concluded that the design and implementation of keyless entry and starter rfid can work well, according to the following: increasing security, increasing comfort, increasing prestige, facilitating access, damage to the electrical system, not easily duplicated, still vulnerable to theft, easy battery drop, susceptible to electromagnetic signal interference.
Pendekatan Analisis Klaster untuk Meningkatkan Manajemen Inventaris dan Rekomendasi Produk di Industri Tanaman Hias Faturohman, Muhammad Iqbal; Naziha, Thalia
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2142

Abstract

The ornamental plant industry has grown significantly as consumers seek to enhance living spaces with diverse plant species. This study aims to optimize inventory management and marketing strategies by applying K-Means clustering to categorize plants based on price, pot size, light requirements, care levels, and popularity. The method used is K-Means clustering, which groups plants into three clusters based on key characteristics. By analyzing these attributes, K-Means clustering identifies patterns and similarities among different plant species, allowing businesses to understand consumer preferences and inventory management better. The results identified three main clusters: Cluster 1 (moderate care, light, popularity) plants like Aglaonema require balanced stock and targeted promotion for medium-light environments. Cluster 2 (low care, light, popularity) plants such as Aglaonema Chiangmai need high stock levels and budget-friendly marketing. Cluster 3 (high care, light, popularity) plants like Alocasia demand elevated stock, premium quality, and care-focused promotion.
Need Analysis of Gamification-Based E-Learning Development with ADDIE Method for Student Learning Using Moodle Platform Priadi, Yohanes; Yosua Arda Kurnia; Benedictus Pascal Sanjaya
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2144

Abstract

A major challenge in e-learning is maintaining student motivation and engagement in the learning process. Gamification has been proven to be an effective approach in increasing student motivation by adding game elements into the learning experience. This research aims to analyze the needs of gamification-based e-learning development for student learning using ADDIE (Analysis, Design, Development, Implementation and Evaluation) method on Moodle platform. Moodle was chosen because it supports various gamification plugins, such as Level Up XP, Block Game, Ludic, Quizventure, Game and Badge Ladder. Through a comprehensive needs analysis, this research produces an appropriate design to improve learning engagement and effectiveness. The results of this research are expected to provide guidance for the development of gamification-based e-learning that is optimal for student learning.
Decision Support System Implementation of Decision Tree Algorithm C4.5 In Employee Performance Assessment Pasaribu, Afifah Balqis; Dedi Irawan, Muhammad
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2145

Abstract

Employee performance assessment can be used as an evaluation tool to improve employee performance to achieve more. Some of the benefits of performance appraisal are such as improving business quality, driving business progress, and improving employee welfare. Yasmin Medical Clinic requires an employee performance appraisal system that can help superiors to process data properly so that it can shorten the time and produce an assessment that is in accordance with the subjective value of decision making. One method that can be used in a decision support system is a decision tree. Current decision trees such as C4.5 and CART are widely used in various fields. The results of the analysis show that the application of the decision support system of the decision tree algorithm c4.5 in employee performance appraisal is able to solve problems at the Yasmin Medical Clinic. A computerized decision support system helps the decision-making process and produces objective decisions that are in accordance with actual conditions.
Web-Based Grape Seed Information System Using the Agile Methodology for the Cikarang Grape Community Ahmad Turmudi Zy; Bagas Pamungkas; Sunita Dasman; M.Makmun Effendi; Rosa Noviyanti
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2149

Abstract

This research applies the Agile methodology to develop a web-based grape seed information system for the Cikarang Grape Community. This method was chosen to enhance flexibility and responsiveness in development, with active involvement from community members at every stage. The process begins with a needs analysis through surveys and interviews, followed by an iterative user-focused solution design. Development is conducted in sprints, allowing features to be tested and evaluated regularly. The implementation results show that the system not only improves efficiency in managing and distributing grape seeds but also strengthens cooperation among community members. With transparent and real-time data access, the community is better equipped to make informed decisions regarding production and marketing. This research is expected to serve as a model for future similar information system development.
Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing Ari Aryadi; Reza Febriano Armas; Hamid Nasrullah; Anissa Shofia Zahra
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2155

Abstract

This study aims to test the results of converting a gasoline-fueled motorcycle with an injection system into an electric motorcycle in terms of horsepower and torque. The data from the unit conversion testing in this study used an experimental method with data analysis that compares the results of dyno tests on a gasoline-fueled motorcycle unit using variations of fuel octane values, with dyno test data from the unit after being converted into an electric vehicle. The testing equipment and materials used in the study were: Sportdyno 4.0, a 110 CC Injection Matic Motorcycle unit, and Pertamax Fuel. The results of this study show that the highest power and torque on the gasoline-powered motorcycle were 6.2 Horsepower (HP) at 6500 to 6600 rpm, and the highest torque was 6.8 N.m at 6400 rpm for the unit before conversion. After the conversion, the highest power achieved was 5.4 HP at an average of 2250 to 2500 rpm, and the highest torque was 28.48 N.m at 1100 rpm for the converted vehicle unit.Thus, it can be concluded from the average data analysis of the power and torque tests that the result of the electric vehicle conversion is 5.4 HP and 28.48 N.m.
Advanced Credit Scoring with Naive Bayes Algorithm: Improving Accuracy and Reliability in Financial Risk Assessment Afandi, Adam; Bedi Agtriadi, Herman; Luqman, Luqman; Susanti, Meilia
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2160

Abstract

This study develops a credit application recommendation system based on the Naive Bayes method to improve accuracy and reliability in financial risk assessment. Using the CRISP-DM framework, the research process starts with understanding the business needs to implement a web-based system. The Naive Bayes algorithm was chosen because of its ability to handle binary data classification and generate reliable predictions even with limited training data. This study combines feature selection and unbalanced data handling techniques to improve model performance. The evaluation results showed that the system achieved an accuracy of 70.50%, with a precision of 92.16%, a recall of 64.57%, and an F1-score of 75.83%. This system is implemented as a web-based application to help financial institutions make credit decisions quickly and accurately. These findings significantly contribute to developing a data-based classification system for the banking sector, especially in reducing the risk of bad loans and improving decision-making efficiency
Towards Predictive Fatigue Management: A Blockchain-Enabled IoT Framework for Driver Safety in Logistics Miftahol Arifin; Noor Qisthani, Nabila; Titan Syifa, Fikra; Ananda Raharja, Pradana; Fanny, Dimas; Faizah, Faizah
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2165

Abstract

Driver fatigue is a critical issue in the logistics industry, contributing significantly to accidents and operational inefficiencies. The system utilizes IoT devices, including physiological and vehicular sensors, to monitor real-time data, such as Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Acceleration Variance (AV). Blockchain integration ensures secure, immutable data storage and transparency, with smart contracts automating fatigue alerts and management actions. The research results show that HRV increased from 50 ms to 70 ms, reflecting better stress recovery, while AV decreased from 0.85 m/s² to 0.45 m/s², indicating more stable driving behavior. Fatigue alerts dropped by 60%, from 25 to 10 alerts per observation period, demonstrating the system’s effectiveness in early fatigue detection and prevention. The study concludes that the IoT-blockchain integration provides a robust, scalable solution for mitigating fatigue-related risks, enhancing driver safety, and fostering operational efficiency in the logistics sector.
Phishing Website Detection Using the Decision Tree Algorithm Method Prasetyo, Stefanus Eko; Haeruddin , Haeruddin; ., Arron
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2167

Abstract

Along with the increasing number of internet users and the rapid development of technology, cyber security threats are becoming more complex, including phishing threats that often cause major losses such as loss of individual or corporate privacy. This study aims to identify phishing websites effectively through the application of machine learning algorithms. The dataset used in this study comes from the UCI learning repository developed by the University of Huddersfield. The research methodology includes the stages of problem identification, Cart algorithm collection, validation, and model evaluation. With this method, the study found that the CART algorithm was able to achieve an accuracy level of 90.5% in detecting phishing sites. These results show cyber security, especially in protecting users from phishing threats, this study is expected to contribute to improving data protection and privacy of internet users, as well as encouraging the application of machine learning technology in a more adaptive cyber security system.
The Effect Of Gasket Thickness Variations (Packing Block) On Power, Torque & Engine Rotation Of Yamaha F1ZR Iqbal Risfianda Arraihan; Sudarsono, Bambang
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2174

Abstract

This study analyzes the effect of gasket thickness on motorcycle engine performance, focusing on its role in maintaining pressure and temperature within the engine, which directly influences efficiency and power output. Employing a descriptive quantitative and qualitative approach, including in-depth interviews with mechanics, racers, and engine experts, the research explores the impact of gasket thickness on engine power, fuel efficiency, and durability under various conditions. Thematic analysis of the data reveals that thinner gaskets enhance power but compromise long-term durability, offering valuable insights for practitioners and manufacturers in optimizing gasket thickness for high-performance applications.

Page 23 of 28 | Total Record : 276

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