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 338 Documents
 30   31   32   33   34 
Analysis of Smartphone Camera Stabilization Based on Gyroscope Using Exponential Smoothing in Mobile Applications Suci Lestari MS; Tito Pinandita; Dimara Kusuma Hakim
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.v10i1.3285

Abstract

Camera usage on mobile devices under dynamic conditions frequently induces vibration (jitter) and unstable orientation changes. This study aims to analyze the effectiveness of the Exponential Smoothing method in reducing rotational fluctuations of a gyroscope-based smartphone camera in a mobile application. An experimental approach was employed across six movement scenarios, namely stationary conditions, slow movement, fast movement, walking, stair climbing, and vehicle riding, by measuring rotation angle values and jitter values before and after stabilization. The results indicate a significant reduction in jitter following the application of Exponential Smoothing across all testing scenarios. The gyroscope-based stabilization system utilizing this method is proven effective in improving smartphone camera rotation stability in mobile applications.
Logistics Departure Scheduling Information System Using the Fifo (First In, First Out) Method at CV. RAS Rissa Azzahra Damanik; Ali Ikhwan
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.v10i1.3292

Abstract

RAS is a trucking transportation company that provides goods delivery services to various destinations. Currently, logistics scheduling is performed manually, leading to scheduling conflicts, recording errors, and delivery delays that reduce operational efficiency. This study aims to design and develop a web-based logistics scheduling information system implementing the First in First Out (FIFO) method to improve logistics management. The research adopted the Research and Development approach using the Waterfall software development model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The FIFO method schedules deliveries according to the sequence of incoming shipment requests, ensuring fair and systematic processing. The developed web-based system simplifies scheduling, data management, and monitoring of logistics activities. System evaluation confirmed that all functional features operated as expected. The results demonstrate that the proposed system effectively minimizes scheduling conflicts, improves data accuracy, enhances operational efficiency, and supports better decision-making for logistics scheduling at CV. RAS.
Development of an Electrical Work Unit Price Analysis System with Random Forest Regressor Approaches Gita Winanda Pramesthi; Naufal Abdillah
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.v10i1.3302

Abstract

The preparation of Cost Budget Plans (RAB) for electrical installation projects is still commonly performed manually using Microsoft Excel, making cable requirement calculations and Unit Price Analysis (AHS) time-consuming and prone to errors. This study develops a machine learning-based system to predict the cable length required for lighting installations using room characteristics, including the number of rooms, floor area, room height, and the number of spotlight, downlight, and pendant lighting points. Two prediction models, Random Forest Regressor and Artificial Neural Network (ANN), were trained using historical residential electrical installation project data with an 80:20 trainingtesting split. Model performance was evaluated using R², MAE, MSE, RMSE, and MAPE. The Random Forest Regressor achieved superior performance with an R² of 0.982 and a MAPE of 18.94%, outperforming the ANN (R² = 0.942; MAPE = 19.34%). The best model was integrated into a Streamlit-based web application to support faster, more accurate, and consistent cable estimation for efficient AHS and RAB preparation.
Analysis Overall Equipment Effectiveness (OEE) Using Multiple Linear Regression on the Assembly Coil Line at PT. XYZ Moh Farhan Athoillah; Harry Ramza
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.v10i1.3321

Abstract

Production efficiency is a critical factor in the increasingly competitive automotive manufacturing industry. This study analyzes the value of Overall Equipment Effectiveness (OEE) of the Assembly Coil Line at PT. XYZ during February 2026. OEE was evaluated using three main components Availability, Performance Efficiency, and Rate of Quality. Data were collected over 20 working days, with a Planned Production Time of 19,200 minutes and Planned Down Time of 2,880 minutes, resulting in 16,320 minutes of Effective Working Time. The Average OEE reached of 94.48%, comprising Availability of 95.31%, Performance Efficiency of 99.70%, and Rate of Quality of 99,42%, all exceeded the 85% world-class benchmark. Reduced Availability was primarily caused by 670 minutes of unplanned downtime, 36 machine failures, and an average MTBF of 432 minutes. The study recommends implementing Total Productive Maintenance (TPM) and Predictive Maintenance to sustain and further improve production performance.
Simulation of Web-Based Fiber Optic Network Monitoring Development for Optimizing Infrastructure Maintenance Cecep Kurnia Sastradipraja; Rr.Isni Anisah Puspowati; Hanhan H Solihin; Agus Alim; Lahmudin Sipahutar; Sain Segar K. Sid
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.v10i1.3350

Abstract

The rapid expansion of fiber optic networks has increased the complexity of infrastructure management, particularly in joint closure documentation, core configuration, and connection quality monitoring. Manual management and fragmented documentation often lead to inconsistent data, limited traceability, and inefficient maintenance processes. This study aims to develop a web-based fiber optic network management system that integrates asset documentation, core structure visualization, attenuation history recording, location documentation, and reporting into a unified platform. The system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model, including requirement analysis, system design, implementation, and testing. The developed system successfully manages joint closure data, visualizes a 192-core structure, records attenuation measurement history, tracks user activities, and generates digital reports. Functional testing confirmed that all major features performed according to the specified requirements. The integrated system enhances documentation accuracy, accelerates network condition identification, improves maintenance efficiency, and provides an effective solution for comprehensive fiber optic infrastructure management.
Design and Development of a Web-Monitored Integrated Electricity KWh Meter Using an IoT-Based Microcontroller Khoirul Ahmat Efendi; Asni Tafrikhatin; Jati Sumarah; Juri Benedi; El Vionna Laellyn Nurul Fatich; Tegar Prasetyo
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.v10i1.3353

Abstract

This study aims to develop an Internet of Things (IoT)-based electrical energy (kWh) monitoring system using an ESP32 microcontroller integrated with a web monitoring platform. The system employs ACS712 current and ZMPT101B voltage sensors to measure voltage, current, power, and electrical energy in real time. The research method used is Research and Development (R&D) with the 4D model, consisting of define, design, development, and dissemination stages. The test results indicate that the ZMPT101B sensor has an error rate of 0.49%–0.81%, while the ACS712 sensor has an error rate of 4.0%–14.2%. Measurement data were successfully transmitted and displayed on the monitoring website through an internet connection. The developed system is capable of providing real-time electrical energy monitoring with adequate accuracy and easy accessibility for users.
Design and Construction of an RFID and IoT-Based Attendance System to Improve the Efficiency of Employee Attendance Management at the Indonesian Polytechnic of Piksi Ganesha Dimas Aditia Firmansyah; Jati Sumarah; Asni Tafrikhatin; Ajeng Tiara Wulandari; Rizdam Firly Muzakki
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.v10i1.3354

Abstract

Attendance systems that still rely on manual input require more processing time due to the absence of an automatic identification mechanism, resulting in less efficient attendance recording. This study aims to design and develop an employee attendance system based on Radio Frequency Identification (RFID) and the Internet of Things (IoT) integrated with a web-based application. The research employed the Research and Development (R&D) method using the ADDIE development model. The system was developed using an ESP32 microcontroller, an RFID RC522 Reader, PHP, and MySQL, while IoT technology was utilized to transmit attendance data to the server via the internet. The test results indicate that all system functions operated successfully, including RFID card identification, data transmission, database storage, and attendance information display on the website. Furthermore, the developed system improved attendance processing efficiency by reducing the attendance time from 15–20 seconds to 2–5 seconds. Therefore, the proposed RFID and IoT-based attendance system can serve as an effective and efficient alternative for managing employee attendance.
Phased Implementation Design of the E-SETGO Framework in Real-World Software Development Projects: A Low Hanging Fruit Strategy for Higher Education Institutions Filan Firmansyah; Dinar Mutiara Kusumo Nugraheni; Indra Waspada
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.v10i1.3413

Abstract

The information and communication technology (ICT) sector contributes approximately 4% of global greenhouse gas (GHG) emissions, with projections indicating a rise to 8% by 2030, a structural paradox given that software systems are simultaneously recognised as critical enablers for all 17 United Nations Sustainable Development Goals (SDGs). The E-SETGO framework, validated through expert consensus using Lawshe's Content Validity Ratio (CVR) with a nine-expert panel, provides 16 core and 8 conditional sustainable software development practices integrated across six Software Development Life Cycle (SDLC) phases, with a comprehensive SDG contribution mapping. However, a critical empirical gap persists: no published study has operationalised how these practices can be progressively adopted in real organisational contexts. This paper addresses that gap by proposing a phased implementation design grounded in the low hanging fruit principle, systematically prioritising practices with the lowest organisational adoption barriers for initial deployment. Employing Design Science Research (DSR) methodology, two complementary real-world software projects at Institut Teknologi PLN (ITPLN) are selected: the AMORA management information system serving as a maintenance-phase Learning Laboratory, and the Distance Learning (PJJ) Learning Management System serving as a green-field Main Case Study. A five-dimension Adoption Barrier Score (ABS) prioritisation matrix is developed across all 16 core practices, identifying P6.Org (Knowledge Retention), P1.Org (Sustainability Objectives and Champion) and P6.Soc (Continuous User Feedback) as universal immediate-adoption candidates with ABS scores of 1.0. A dual pilot strategy, 12-month phased implementation timeline, four validated data collection instruments, and a pre-mapped SDG contribution framework are designed for subsequent empirical validation. The design is projected to contribute to SDG 4, 8, 9, 10, 16 and 17 through direct and enabling contribution mechanisms.

Page 34 of 34 | Total Record : 338

 30   31   32   33   34 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 1 (2026) 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