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Telcomatics
Published by Universitas Internasional Batam
ISSN : -     EISSN : 25415867     DOI : http://dx.doi.org/10.37253/telcomatics.v5i1.838
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Telcomatics is a peer reviewed Journal in English or Bahasa Indonesia published two issues per year (June and December). The aim of Telcomatics is to publish articles dedicated to all aspects of the latest outstanding developments in the field of Electrical Engineering and Information System. Telcomatics Journal welcomes full research articles in the following engineering subject areas: Telecommunication and Information Technology Applied Computing and Computer Instrumentation and Control Electronic Computer Security Computer Network Image Processing Mechatronic and Robotic Network Traffic Modeling Game Technology Intelligent System
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 10 No. 1 (2025)" : 5 Documents clear
Perancangan dan Implementasi Sistem Keamanan Kendaraan Berbasis IoT Menggunakan ESP32, FastAPI, dan Aplikasi Android Simanjuntak, Noe Prihartoyo; Rahman, M Abdur; Pratama, Adi Nuzul; Stelyven, Stelyven; Yulianto, Andik
Telcomatics Vol. 10 No. 1 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i1.10870

Abstract

The advancement of digital technology has made a major contribution to improving security systems, especially in the automotive sector. One of the main challenges in securing motor vehicles is providing real-time protection against potential threats such as theft or vandalism. In this study, an Internet of Things (IoT)-based vehicle security system was designed and implemented that utilizes the ESP32 microcontroller as the main tool to detect physical contact or interference with the vehicle. This system integrates the MQTT communication protocol for sending data to a FastAPI-based backend server, which then stores the data in MongoDB Atlas and sends notifications to users via Firebase Cloud Messaging (FCM). Users can monitor and respond to these notifications through an Android application built using Android Studio and the Java programming language. In addition to notifications, this application also provides a sound alarm player feature and a display of sensor activity history. The test results show that the system is able to detect and respond to events quickly and accurately, with a notification delivery time of less than two seconds after the data is received by the server. With an integrated and real-time system architecture, this solution is expected to be an economical, efficient, and reliable alternative to improve the security of private and public vehicles.
Sistem Informasi Manajemen data Aktivasi Meter dan Transaksi Energi pada PLN Unit Layanan Pelanggan Banjarbaru Berbasis WEB Habibi, Ahmad; Prastyaningsih, Yunita; Sayyidati, Rabini; Sabella, Billy; Santoso
Telcomatics Vol. 10 No. 1 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i1.10927

Abstract

PLN Customer Service Unit (ULP) Banjarbaru, through its Energy Transaction Division (TE), is responsible for processing meter activation data and energy transaction calculations. Currently, the process of combining siaga reports and DILL data is performed manually, which is time-consuming and prone to calculation inaccuracies for additional charges. To address this issue, this study aims to design and develop a Web-Based Meter Activation Data Management and Energy Transaction Information System to enhance efficiency, accuracy, and speed in data management. The system development method used is the Waterfall model, consisting of system analysis, design, coding, and testing stages using the blackbox testing method. The system is designed using an Entity Relationship Diagram (ERD), Data Flow Diagram (DFD), and Flowchart, and is built with PHP, HTML, MySQL database, and the CodeIgniter 4 (CI4) framework. Testing results show that the system performs as expected, assisting staff in recording, managing, and reporting meter activation data and energy transaction calculations more efficiently and accurately.
Ketersediaan Tinggi Website menggunakan Penskalaan Otomatis dan Penyeimbang Beban AWS Haeruddin, Haeruddin; Andik Yulianto; Stefanus Eko Prasetyo; Gautama Wijaya; Dominggo Givarel
Telcomatics Vol. 10 No. 1 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i1.10951

Abstract

The rapid development of information technology requires digital service systems to have high performance and optimal availability. One of the main challenges in managing web-based services is the system's ability to deal with an unpredictable surge in the number of users. If not anticipated, this can cause a decrease in performance and even detrimental downtime. This study aims to analyze and implement the concept of auto scaling and load balancing in an effort to improve the performance and availability of web-based services. Auto scaling functions to automatically adjust the number of server resources according to workload needs, while load balancing plays a role in distributing network traffic evenly to several servers. The research method used is an experiment, by implementing and testing service performance before and after the implementation of auto scaling and load balancing. The test results show that the combination of the two technologies is able to increase the speed of service response, reduce server load, and maintain optimal service availability. This research is expected to be a reference in the development of reliable and efficient cloud-based systems.
Analisis Efektivitas Algoritma Komputasi pada Sistem Pendukung Keputusan Ahmad Budi Trisnawan
Telcomatics Vol. 10 No. 1 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i1.11022

Abstract

Decision Support Systems (DSS) play a crucial role in assisting decision-makers by analyzing large and complex datasets to generate actionable insights. The core performance of a DSS relies heavily on the computational algorithms embedded within its structure, which are responsible for data processing, pattern recognition, and prediction. This study aims to evaluate the effectiveness of three commonly used algorithms Decision Tree (C4.5), Naive Bayes, and K-Nearest Neighbor (K-NN) in supporting decision-making processes using healthcare-related data. The analysis focuses on three performance metrics: classification accuracy, computational speed, and memory usage. A benchmark dataset on heart disease from the UCI Machine Learning Repository was utilized for empirical testing. Results indicate that the Decision Tree algorithm achieved the highest accuracy (92%) and interpretability, making it well-suited for transparent decision-making contexts. Naive Bayes demonstrated the fastest processing time and lowest memory consumption, making it ideal for real-time or resource-constrained systems. Meanwhile, K-NN showed moderate performance but was sensitive to parameter tuning and data volume. These findings suggest that algorithm selection should be aligned with system requirements and resource availability. The study contributes to the development of more efficient and tailored decision support systems by providing empirical evidence of algorithmic strengths and limitations across multiple evaluation dimensions.
Analisis Cuaca Sawah Bekas Tambang Timah di Kabupaten Bangka Berbasis Internet Of Things (IoT) Budianto, Tri Hendrawan; Wardana, Agung; Kurniawan, Rudy; Syafrudin, Syafrudin; Hartoko, Agus
Telcomatics Vol. 10 No. 1 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i1.11433

Abstract

Unpredictable weather changes in rice field areas have a direct impact on community activities, particularly in the agricultural sector. Weather data from the BMKG (Indonesian Meteorological, Climatological, and Geophysical Agency) is general in nature and not specific to small areas, and there are limitations in real-time monitoring and historical data, which pose their own challenges. This study designed a weather monitoring device based on DHT11 sensors, rain sensors, BMP180, UV, and LDR, which can record data in real-time to an SD card and send information via Telegram bot. This tool successfully identifies weather conditions such as cloudy, mostly cloudy, sunny, and rainy, as well as supporting parameters such as temperature, humidity, air pressure, UV index, and CO₂. The first measurement results showed a 79% dominance of cloudy weather, while the second measurement showed 65% cloudy weather. These findings prove the effectiveness of the device in providing accurate and sustainable local weather data to support decision-making in the agricultural sector.

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