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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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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.

Page 34 of 34 | Total Record : 335

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