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Infotronik : Jurnal Teknologi Informasi dan Elektronika
Published by Universitas Sangga Buana
ISSN : 25481932     EISSN : 25497758     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Infotronik dengan Nomor ISSN: 2549-7748 (online); 2548-1942 (print) adalah jurnal berkala ilmiah yang diterbitkan secara bersama-sama oleh Fakultas Teknik dua kali setahun (Juni-Desember). Jurnal ini bertujuan mempublikasikan hasil penelitian orisinal dan mengembangkan konsep, teori, perspektif, paradigma, dan metodologi dalam kajian fenomena Ilmu Komputer dan Elektronik. Ruang lingkup Jurnal Infotronik secara khusus adalah penelitian meliputi kajian Ilmu Komputer dan Elektronika.
Arjuna Subject : -
Articles 108 Documents
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KLASIFIKASI JENIS BATIK MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (KNN) Benita Suciani, Azarin; Gunawansyah, Gunawansyah; Maulana Adhinugraha, Kiki
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3846

Abstract

Batik is a world heritage that has been recognized by UNESCO, has high philosophical and artistic value and economic value. However, with so many types of batik in Indonesia, many people still have difficulty knowing and distinguishing between these types of batik, which can threaten its sustainability. Lack of public knowledge about the types of batik can lead to reduced appreciation and loss of cultural identity. Therefore, appropriate treatment is needed to overcome this problem. This research aims to build a classification system for types of batik using the K-Nearest Neighbors (KNN) algorithm to help the public recognize and differentiate types of batik, especially Batik Lasem, Batik Sekar Jagad, Batik Tambal, and Batik Truntum. It is hoped that this system can increase public awareness and knowledge about the richness of batik culture and help in preserving Indonesia's cultural heritage. The system testing results show differences in accuracy in each experiment with a dataset of 200 images, consisting of 50 images per type of batik. The highest accuracy was obtained from the third experiment, namely 85%, while the second experiment resulted in an accuracy of 72.5%, and the first experiment obtained an accuracy of 65%
ANALISIS RANGKAIAN LISTRIK DENGAN SISTEM PERSAMAAN LINEAR MENGGUNAKAN DEKOMPOSISI LU Rahman, Abdul; Juliani, Fitria
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3877

Abstract

The system of linear equations is a topic found in the field of mathematics, which is a branch of algebra. This topic can be implemented in various fields, one of which is in the electrical domain, specifically in electrical circuits. The system of linear equations in electrical circuits is used to analyze the relationships between current and voltage in complex circuits. By applying Kirchhoff's laws, we can formulate equations that represent each element in the circuit. The resulting system of linear equations is then solved using the LU decomposition method. LU decomposition is a technique used to solve systems of linear equations by breaking down the matrix into two components: a lower triangular matrix (L) and an upper triangular matrix (U). The method used to decompose the matrix is the Doolittle method. This article employs matlab as a tool to assist in solving the system of linear equations. Through matlab, this process is automated, enabling quick and accurate analysis of various circuit configurations, such as the obtained results in the discussion  and  which represent the current values flowing through each component.
IMPLEMENTATION OF THE MABAC–ENTROPY ALGORITHM FOR TOURIST DESTINATION RECOMMENDATIONS Fauzan Ramadhani
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.4787

Abstract

Tourism in West Java continues to grow with the increasing number of destinations and visitor interest. This situation creates challenges in selecting tourist attractions due to the abundance of alternatives and limited information regarding ticket prices, distance, facilities, security, and destination ratings. This study aims to develop a decision support system by implementing the Multi-Attributive Border Approximation Area Comparison (MABAC) method for alternative ranking and the Entropy method for criteria weighting. The research data were collected from 20 tourist attractions in West Java, with 10 destinations selected as samples and analyzed using predetermined criteria. The developed recommendation system is capable of processing various criteria such as ticket price, distance, facilities, security, and ratings, resulting in a more objective ranking of destinations. The ranking process produced an ordered list of destinations with different preference values, where Taman Bunga Nusantara ranked first with a score of 0.294, followed by the Bogor Botanical Garden with 0.178, and Farm House Susu Lembang with 0.166. These results demonstrate that the combination of the MABAC and Entropy methods can provide objective and systematic recommendations for tourist destinations. Therefore, the developed system is expected to assist users in making tourism choices more quickly and efficiently.
An IoT-Based System for Monitoring Electricity Usage in Student Dorm Rooms Using the ESP32 muhammad syaifuddin; Zainal Abidin; Rifky Aisyatul Faroh
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.4791

Abstract

Real-time monitoring and control of electrical energy usage is essential in effective power consumption management, especially in environments such as boarding houses or rental rooms. This study designs and implements an Internet of Things (IoT)-based system using the ESP32 microcontroller integrated with the PZEM-004T sensor, relay module, and OLED display. The ESP32 is selected for its built-in WiFi connectivity and efficient data processing capabilities. The PZEM-004T sensor is used to measure electrical parameters such as voltage, current, power, and energy (kWh). The relay module functions as an electronic switch that controls the flow of electricity to appliances either automatically or manually via the Blynk application. Meanwhile, the OLED screen locally displays energy consumption information for each room. The system is capable of independently monitoring and displaying power usage per room while also estimating electricity costs based on a predefined kWh tariff. With the help of the Blynk app, users can remotely access real-time data and control electrical devices as needed. Each room is equipped with one sensor, one relay, and one OLED display, all connected to a single ESP32 unit, allowing efficient multi-point monitoring. Testing results indicate that the system performs accurately and responsively. This implementation is expected to help boarding house residents better manage their energy usage, promote awareness of energy efficiency, and reduce unnecessary electricity expenses.
ANALYSIS OF THE PERFORMANCE AND STABILITY OF THE PROXMOX VE VIRTUALIZATION SYSTEM IN A NESTED VIRTUALIZATION ENVIRONMENT USING VMware WORKSTATION, USING CPU, RAM, AND DISK I/O BENCHMARKS Tegar Permadi; Adam Mardamsyah; Hendrana Tjahjadi; joni welman simatupang
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.4922

Abstract

Virtualization technology has become an essential solution for optimizing server resources and improving system scalability. This study evaluates the performance of server virtualization infrastructure using the Proxmox Virtual Environment (PVE) as an open-source platform. The objective is to analyze resource utilization efficiency, operational stability, and performance consistency in a multi-virtual machine setup. The research applies an experimental approach by deploying several virtual machines and using benchmarking tools to assess processing, memory, and storage performance. Qualitative analysis was conducted to interpret system behavior under simulated workloads. The results indicate that Proxmox VE provides efficient resource management, stable operations, and reliable performance for small to medium-scale infrastructures. This study contributes to understanding open-source virtualization and demonstrates its potential as a dependable and economical platform for educational laboratories, research environments, and lightweight production systems. Teknologi virtualisasi merupakan solusi penting untuk mengoptimalkan sumber daya server, dan meningkatkan skalabilitas sistem. Penelitian ini mengevaluasi kinerja infrastruktur virtualisasi server menggunakan Proxmox Virtual Environment (PVE) sebagai platform open-source. Tujuan penelitian adalah menganalisis efisiensi penggunaan sumber daya, kestabilan operasional, dan konsistensi kinerja pada lingkungan dengan beberapa mesin virtual. Pendekatan penelitian dilakukan secara eksperimental dengan menerapkan beberapa mesin virtual serta menggunakan alat uji benchmarking untuk menilai kinerja pemrosesan, memori, dan penyimpanan. Analisis kualitatif digunakan untuk menafsirkan perilaku sistem terhadap beban kerja yang disimulasikan. Hasil penelitian menunjukkan bahwa Proxmox VE mampu mengelola sumber daya secara efisien, menjaga kestabilan operasi, dan memberikan performa andal untuk infrastruktur berskala kecil hingga menengah. Penelitian ini berkontribusi terhadap pemahaman teknologi virtualisasi open-source, dan menunjukkan potensinya sebagai platform andal serta ekonomis bagi laboratorium pendidikan, penelitian, dan sistem produksi ringan.
INTEGRATION OF AHP AND BMS FOR PRIORITIZING BRIDGE MAINTENANCE IN BEKASI REGENCY Seftian Setia Pamungkas
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.5179

Abstract

Efficient and targeted bridge infrastructure management is a major challenge in Bekasi Regency, given the large number of bridges that have suffered damage due to structural aging, heavy traffic loads, and limited maintenance budgets. This study aims to formulate bridge management priorities based on technical condition and strategic value through the integration of the Bridge Management System (BMS) and the Analytical Hierarchy Process (AHP). The BMS method is used to visually evaluate the physical condition of bridges based on structural parameters. Meanwhile, AHP is applied to assign weights to six priority criteria, namely: bridge condition, daily traffic volume, road connectivity, regional development, role as a connector between economic and agricultural zones, and relationship with public service facilities. The study covers six bridges in Bekasi Regency, with data obtained through field surveys and expert questionnaires. The results of the study indicate that the combination of BMS and AHP produces a priority scale that is more objective, adaptable to the local context, and can be used to formulate more targeted annual budget scenarios. This integrative model is recommended as a decision-making tool for local governments, particularly in the planning and budgeting of future bridge rehabilitation.
APPLICATION OF A MULTI-SERVER QUEUEING MODEL TO McDonald's Drive-Thru and Regular Services CICERI, SERANG CITY, BANTEN Siti Rohmah; Silvia Nengsih; Alma Aulia Annur; Dwi Apriyani; Bambang Hermawan
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.5195

Abstract

This study aims to analyze and compare the performance of multiserver queueing systems in drive-thru and regular service at McDonald’s Ciceri, Serang City. The research is motivated by the increasing demand for fast and efficient service in the fast-food industry, particularly during peak hours, which often leads to customer queues and waiting time issues. A quantitative approach was applied using an M/M/s multi-server queueing model. Data were collected during peak hours from 12:00 PM to 1:00 PM by observing customer arrival rates, service rates, and the number of active servers in both service systems. The performance metrics analyzed include server utilization, average queue length, average waiting time, total time in the system, and the probability of customers having to wait. The results show that the drive-thru service has a lower server utilization of 67%, a very short average waiting time of 0.47 minutes, and a lower waiting probability of 26%, indicating faster service performance. Meanwhile, the regular service system operates with a higher server utilization of 80%, an average waiting time of 2.07 minutes, and a waiting probability of 52%, but is able to handle a higher volume of customer arrivals. These findings indicate that the drive-thru service is faster from the customer’s perspective, while the regular service is more efficient in handling a larger service capacity. This study provides practical insights for restaurant management in optimizing service strategies based on customer needs and operational efficiency.  
The A Pose-Based Training Monitoring Application for Sprint Athletes: APLIKASI MONITORING PELATIHAN ATLET SPRINT BERBASIS POSE Redinand naufal azmi Azmi; Ooscar Hadikaryana
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 10 No 1 (2026): Vol 10 No 1 Tahun 2026
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2026.10.1.5333

Abstract

Sprint AI Coach menghadirkan solusi berbasis web mutakhir untuk evaluasi biomekanika lari sprint menyeluruh melalui implementasi computer vision YOLOv8. Platform ini memfasilitasi penilaian gerak atletik rinci via teknologi pengenalan pose 2D canggih, menghasilkan analitik performa granular. Pemeriksaan sistematis mencakup metrik operasional aplikasi, verifikasi presisi algoritmik, dan analisis fungsionalitas sistem holistik dengan metodologi pengujian ketat. Evaluasi 20 rekaman video menunjukkan sistem mencapai akurasi identifikasi pose 97,2% dengan latensi komputasi 50ms per frame. Platform berhasil menghitung sudut sendi lutut (162,3±4,2°), interval kontak terrestrial (0,129±0,012s), dan jarak langkah (2,14±0,17m). Verifikasi teknis mengungkap korelasi substansial antara pendekatan analitik otomatis dan manual (r=0,91, p<0,001). Formulasi regresi prediksi performa dinyatakan sebagai Y = 12,78 - 0,16X₁ + 0,23X₂ - 1,70X₃, dengan koefisien determinasi R²=0,80. Asesmen sistem mengonfirmasi keandalan operasional konsisten di berbagai parameter lingkungan, memvalidasi potensi aplikasi praktis untuk evaluasi teknik sprint.

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