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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 335 Documents
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Design of a Website Information System Based on Microcontrollers at BMKG Class 1 Bandung Yudhi Yanuar; Rika Wisnu Tiara; Lilis Emalia
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3232

Abstract

The purpose of this study is to design an information system for visits at BMKG Class 1 Bandung, the method used in this study is observation of objects and literature studies, in addition to using UML to describe the design and agile methods are used for designing information systems. In the development of a website-based information system using the PHP programming language and the Mysql system management database, in addition to using the esp32 microcontroller and RFID as a tool used for reading visit data, the test results of the visit information system at BMKG Class 1 Bandung resulted in the designed information system running well and effectively.
Digital Transformation of Locksmith Services through Website Development and Google Ads for Customer Acquisition and Business Sustainability Ari Waluyo
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3243

Abstract

The development of information technology has encouraged small businesses to adopt digital transformation strategies to maintain business sustainability. One of the sectors affected by this change is locksmith services, which traditionally rely on physical storefronts to attract customers. This study aims to implement digital transformation through website development and Google Ads utilization to increase customer acquisition and maintain business continuity after the loss of a physical storefront due to eviction. The research employed the Prototype software development method, consisting of requirements analysis, system design, website development, Google Ads implementation, and system evaluation. The resulting website, accessible at www.kuncipanggilan.com, provides information on key duplication services, car key services, safe lock services, and emergency locksmith assistance. To improve online visibility, Search Engine Optimization (SEO) and Google Ads were implemented. The evaluation results showed that the Google Ads campaign achieved an average Click Through Rate (CTR) of 4.58%, an average Cost Per Click (CPC) of IDR 2,036, and approximately 100 website clicks per day. Furthermore, the digital transformation strategy contributed to a 70% increase in customer acquisition compared to the previous conventional storefront-based business model. The findings indicate that website development combined with digital advertising effectively expands customer reach, improves service accessibility, and supports business sustainability. This study demonstrates that digital transformation can serve as an effective adaptation strategy for service-based businesses facing the loss of physical business locations.
Weaving Architecture Effects on Mechanical and Chemical Performance of Alkali-Treated Coconut Fiber Composites Agus Choirul Arifin; Deni Nur Fauzi; Noorsakti Wahyudi; Agus Susanto; Pradhana Kurniawan; Yoga Ahdiat Fakhrudi; M. Shafwallah Al. Aziz
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3245

Abstract

This study examines the effect of fabric architecture and alkali treatment on the properties of coconut fiber–polyester composites as an alternative environmentally friendly material. Coconut fibers were treated with 15% NaOH for 2 hours and woven in basket weave and twill weave patterns. The composites were made using a vacuum-assisted resin infusion method with a fiber fraction of 40%, and compared with E-glass composites as a control. FTIR analysis showed a decrease in the intensity of the absorption band in the range of 1200–1300 cm⁻¹, indicating a reduction in lignin content after alkali treatment. The mechanical test results showed that the basket weave composite had higher tensile and flexural strengths, respectively, of 20.40 N/mm² and 78.45 N/mm², compared to the twill weave at 12.98 N/mm² and 52.31 N/mm². However, the highest impact resistance was obtained in the twill weave at 23.61 J/mm². The results of the study indicate that the weave architecture has a significant effect on the mechanical performance of the composite and has the potential to support the development of sustainable composite materials for engineering applications.
CT-Scan Image Segmentation of Liver Cancer Using the Active Contour Method Nurazizah Nurazizah; Dwina Kuswardani; Herman Bedi Agtriadi
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3273

Abstract

Liver cancer is one of the most common types of cancer both in Indonesia and throughout the world. The increase in liver cancer cases is thought to be related to the increase in hepatitis B and C virus infections. According to statistical data from Globocan, in 2022 there will be 866,000 cases of liver cancer recorded worldwide, with 758,000 deaths due to this disease. To overcome this challenge, image processing plays an important role in improving image quality and performing segmentation to separate objects based on certain characteristics. In this research, the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Contrast Stretching methods are used to improve image quality, while the Active Contour method is applied for image segmentation. Validation of segmentation results was carried out using Receiver Operating Characteristic (ROC) calculations. Testing was conducted on 21 CT-scan images of liver cancer, yielding an accuracy of 97.16%, a sensitivity of 75.69%, and a specificity of 98.85%. This research was conducted using the MATLAB application (R2015a). These findings demonstrate the effectiveness of the methods used in supporting the diagnosis and treatment of liver cancer
Development of a Motorcycle Charging System Trainer as a Student-Centered Learning Medium for Vocational Automotive Education Teofilus Isandri; Muhammad Amiruddin; Ginanjar Budiarsyah
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3282

Abstract

The Indonesian government prioritizes vocational education as a human resource development strategy to meet industrial needs. This study developed a Trainer for the Motorcycle Charging System at the PVTO Laboratory of PGRI University Yogyakarta using the ADDIE model. The Design phase utilized Autodesk Fusion 360 to design an ergonomic hollow steel frame, while the Development phase included frame fabrication, installation of a standard wiring system, and integration of digital measuring instruments for real-time visualization of electrical parameters. Technical testing results showed 100% system functionality and very high physical feasibility with a validation score of 4.71/5.00. This product has proven effective as a troubleshooting tool that facilitates systematic diagnosis and supports students’ mastery of mechanical competencies.
Development of Problem-Based Learning (PBL) Based Instructional Materials for Automotive Manual Clutch Systems Vio Lilik Saputra Saputra; Muhamad Amiruddin; Hamid Nasrullah; Bahtiar Wilantara
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3286

Abstract

This study aims to develop a Problem Based Learning (PBL) based learning media for the manual clutch system in the Automotive Technology Vocational Education Study Program, Universitas PGRI Yogyakarta. The research used the Research and Development (R&D) method with the 4D model. The teaching aid was developed through design, assembly, and finishing stages using hollow iron. Validation results showed 84% feasibility by media experts, 94% by material experts, and 86.2% by users (very feasible). This media is expected to enhance students’ active understanding through PBL approach before direct practice.
The Effect of Tool Type and Vertical Milling Machine Feeding Depth on ST 42 Steel Surface Roughness Maulidika Aditya Junianto; Sudarno; Muhammad Hasan Basri; Doni Dwi Susilo
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3289

Abstract

The quality of the final surface finish in machining operations is a critical parameter that dictates the performance and wear resistance of mechanical components. This study aims to analyze the effect of tool types (High-Speed Steel [HSS] and Carbide) and variations in depth of cut (0.2 mm, 0.3 mm, 0.4 mm, and 0.5 mm) on the surface roughness of ST 42 steel utilizing a vertical milling machine. The experimental method integrated real-time machine vibration monitoring using a LUTRON VB-8201HA Vibration Meter during the up-milling process. The evaluation of surface topography was measured based on average roughness (Ra), ten-point roughness (Rz), and root-mean-square roughness (Rq) parameters using a Mitutoyo SJ-301 Surface Roughness Tester, which were subsequently correlated with the ISO 1302 roughness grade standard. The results indicated that the cutting tool material characteristics exerted a dominant influence, with the Carbide tool consistently producing significantly superior surfaces compared to the HSS tool. The Carbide tool achieved an overall average Ra value of 0.77 µm, classifying it into the N6 roughness grade (finishing standard), along with 5.12 µm for Rz and 0.97 µm for Rq. Conversely, the HSS tool yielded sub-optimal surface quality with an average Ra of 2.65 µm, classifying it into the N8 roughness grade (roughing standard), alongside 15.65 µm for Rz and 3.41 µm for Rq. Increasing the depth of cut triggered a linear increase in Ra for the HSS tool due to amplified cutting forces however, a contrasting phenomenon occurred with the Carbide tool, where the surface became smoother due to local thermal softening of the workpiece material. In conclusion, the optimum machining combination to achieve minimum surface roughness at the N6 grade standard on ST 42 steel is accomplished by utilizing a Carbide cutting tool operated at deeper depth of cut parameters.
Implementation of The K-Nearest Neighbors (KNN) Algorithm in The Process of Student Graduation Prediction (Case Study of The Bachelor of Informatics Engineering Program, PLN Institute of Technology, Jakarta) Andi Abd. Jalil. L; Herman Bedi Agtriadi; Meilia Nur Indah; Rakhmadi Ifansyah Putra
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3299

Abstract

Student graduation is one of the key indicators in a university’s Internal Quality Assurance System (SPMI). Based on data from the Bachelor of Informatics Engineering program, out of 305 students from the 2016 cohort, 227 graduated on time and 78 graduated late. This study aims to predict student graduation using the K-Nearest Neighbors (KNN) algorithm. The research stages include data collection and division for training and testing, parameter determination with K=3, and distance calculation between data points. The results show that the KNN model with parameter K=3 achieved an accuracy rate of 90% in predicting student graduation. This demonstrates that the KNN method is effective in predicting student graduation outcomes.
Integrasi Fuzzy Sugeno & Fuzzy Tsukamoto untuk Readiness Deployment Aplikasi Perbankan berbasis dokumen checklist QA Noka Prakasa Rhomadona; Luqman
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.2946

Abstract

This research proposes a decision support expert system for the readiness deployment process based on a QA checklist by integrating the Fuzzy Tsukamoto and Fuzzy Sugeno methods. This research is very necessary because application release failures to production still often occur due to inconsistent testing and reliance on the experience of Quality Assurance (QA), especially in the workplace of the researcher. The variables used for analysis are five, namely error handling, multi-platform testing, performance testing, defect handling, and UAT results. Fuzzification is mapped into 3 categories: LOW/MEDIUM/HIGH, which is implemented using a trapezoid function; Tsukamoto output is in the form of a monotonous curve shaped L/R (rising or falling). Sugeno uses constants or linear functions. In this study, an internal dataset was used with a total of 500 data points, with 185 ready data, 220 partially ready data, and 95 not ready data. I performed numerical mapping on the fuzzification categories [LOW, MEDIUM, HIGH] as [0,30, 0,60, 0,90], for a weight λ of 0.70 and showed an accuracy of 83.8%. This system provides consistent recommendations and conservative safeguards against critical conditions before production release.
Evaluation of Internal Control on the Siakad Application at Politeknik Kesehatan Bhakti Setya Indonesia Using Cobit 2019 Adi Cahyo Kuswijayanto; Suhirman; Joko Sutopo; Muhammad Senoaji Wibowo
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3010

Abstract

The digitalization of higher education has made Academic Information Systems (SIAKAD) essential assets requiring effective IT internal controls. This study evaluates the capability level of internal controls in the SIAKAD application at Poltekkes Bhakti Setya Indonesia (BSI) using the COBIT 2019 framework and identifies improvement opportunities. Data were collected through in-depth interviews with six key respondents, including IT management, SIAKAD operators, and the Head of Academic Affairs, supported by institutional documents. The assessment focused on five COBIT 2019 processes: APO12, DSS01, DSS05, BAI10, and MEA02. The results indicate that most processes remain at Capability Level 1 (Performed Process), while DSS01 achieved Level 2 (Managed Process). The largest capability gap was identified in MEA02, which remains at Level 0 (Incomplete Process), whereas APO12, DSS05, and BAI10 each showed a gap of two levels. These findings provide practical recommendations to strengthen IT governance and achieve Capability Level 3 (Established Process) through standardized procedures and continuous internal monitoring.

Page 33 of 34 | Total Record : 335

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