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Program Studi Teknik Elektro, Universitas Nusa Putra Gedung B Lt.5 Jl. Raya Cibolang No. 21, Sukabumi, West Java, Indonesia 43152
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Fidelity : Jurnal Teknik Elektro
Published by Universitas Nusa Putra
ISSN : 26863650     EISSN : 26863642     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Focus Fidelity : Jurnal Teknik Elektro merupakan media publikasi penelitian di bidang Teknik Elektro khususnya dalam ruang lingkup Instrumentasi, kendali, pengolahan sinyal, telekomunikasi, komputer dan listrik tenaga. Naskah atau makalah yang diterbitkan telah melalui kajian dari para mitra bestari dan telah lolos uji plagiasi. Jurnal ini menyediakan akses konten teknik elektro yang terbuka secara penuh dengan tujuan memberikan sumbangsih pada penyebaran ilmu pengetahuan secara bebas untuk publik dan mendukung pertukaran pengetahuan secara global. Jurnal Fidelity diterbitkan oleh Program Studi Teknik Elektro, Universitas Nusa Putra. Scope Topik-topik yang dapat diajukan untuk diterbitkan pada jurnal ini meliputi: Elektronika, Mekatronika, Robotika, Unmanned Vehicle, Mobil Listrik, Teknologi Alat Pertanian, Medical Devices, Pemrosesan Gambar, Kecerdasan Buatan, Inovasi Internet Of Things Sistem Telekomunikasi, Teknologi Wireless, Radar, Sistem Informasi, Rekayasa Industri, Teknologi Industri
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 101 Documents
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A Quantitative Analysis of Harmonic Effects on the Accuracy of Single-Phase kWh Meters in PT. PLN (Persero) ULP Kuta Sutama, I Wayan; Falah, Muhammad Yusrul; Putri, Dewa Ayu Putu Adhiya Garini
Fidelity : Jurnal Teknik Elektro Vol 6 No 3 (2024): Edition for September 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i3.255

Abstract

The accurate measurement of electrical energy transactions using kWh meters is crucial to prevent losses for both consumers and utilities. However, the growing prevalence of nonlinear loads can introduce harmonics into the power system, potentially affecting the accuracy of kWh meter readings. This study aimed to investigate the impact of harmonics on the measurement accuracy of analog and electromechanical kWh meters. The results demonstrate that as the percentage of Total Harmonic Distortion (%THD) increases, due to the increased use of nonlinear loads, the measurement accuracy of both types of kWh meters decreases, potentially leading to financial losses for both consumers and the utility company. Based on the study, Simulation results demonstrate this impact, with analog and electromechanical kWh meters showing significantly different billing outcomes under resistive and capacitive loads. For example, a purely resistive 300-watt load resulted in a bill of Rp. 327,870 for the analog meter and Rp. 319,343 for the electromechanical meter. In contrast, a 300-watt capacitive load resulted in bills of Rp. 84,497 and Rp. 83,707, respectively.
Analysis of Transformer Turn Ratio Test Results on 60 MVA Power Transformer at Simpang Tiga Substation PT. PLN (Persero) ULTG Prabumulih Fajri, Satria; Wibowo, Pristisal; Hamdani, Hamdani
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.260

Abstract

This research aims to compare the transformer turn ratio values obtained from testing with those calculated based on the transformer's nameplate data. The testing method used was the Transformer Turn Ratio (TTR) test, conducted with the Omicron CPC100 testing device. This test measures the ratio between the number of turns in the high-voltage and low-voltage windings at each tap of the transformer. The results of the comparison between the calculated values and the test results showed a variation in the range of 0.0045 to 0.0155. The deviation values from the test were found to be within acceptable limits, with the average deviation remaining below 0.5%. The deviation values ranged from -0.07% to -0.25%, all of which are well within the allowable limits according to the SK-DIR 0520 standard. Based on these findings, the 60 MVA three-phase transformer under study is deemed to be in good condition and suitable for energizing.
Voltage Drop Study on Medium Voltage Network System at PT. Pln (Persero) UP3 Banda Aceh 20 kV Using Etap Software Ristami, Nadia
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.261

Abstract

Distribution network systems typically begin at the GI (Main Substation) and proceed to the 20 kV feeder before being divided and sent to the ULP (Customer Service Unit). Electricity is dispersed over a considerable distance via the network, which lowers voltage and current (Voltage Drop). The length of a conductor on a medium voltage distribution channel causes this disruption, which can hurt customers by damaging electrical items. A voltage drop analysis must be performed to ascertain the amount of voltage drop along the distribution channel from the base to the end of the network in compliance with the SPLN (State Electricity Company Standard), as this disruption has a detrimental effect on customer service surpass 510% (SPLN 72: 1987). We will compare the voltage loss on the 20 kV distribution network in the Ulee Kareng feeder using simulations using etap 12.6.0 software and hand calculations utilizing formulae in this final project. Data will be collected and verified at PT. PLN (Persero) UP3 Banda Aceh prior to analysis. Current is 61.8 A and reactance is 0.164 at ULK 008-00 with a voltage of 20,000. This results in a value of 0.2317 kV and a percentage of 0.0115844%, whereas the percentage determined using etap software simulation yields a value of 0.2318 kV and a value of 1.19%. By altering the cross-sectional area, the voltage loss may be addressed because A power transformer added to a distribution with an excessive load might alter the number of turns, which will result in the channel impedance.
The Implementation of Deep Learning Method for Disease Detection in Tomato Plants Based on Leaf Images via Web Putra, Chaeru Rachmadi; Rachman, Amang Sjamsjiar; Suksmadana, I Made Budi
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.269

Abstract

Agriculture plays a vital role in supporting the economy. Optimally and wisely managed agricultural development can encourage sustainable economic growth and equity. One example is tomato production, which has great potential to be developed. In 2021, the production of tomatoes in all Indonesian provinces reached a total of 1,114,401 tons. However, tomato production often decreases due to disease attacks on plants. Therefore, this research aimed to identify plant diseases by utilizing deep learning methods applied to web applications, so that they can be easily accessed by farmers. Its use only requires uploading images of plants to be identified into the web application. Based on the results of training and testing conducted at Google Collaboratory using two model architectures, the findings highlight that VGG16 and DenseNet121, the DenseNet121 architecture provides higher accuracy reaching 100%, while VGG16 reaches 98.58%. In addition, in web application implementation and testing with primary data, the DenseNet121 model also showed high accuracy of 92%.
Design and Build Pedestrian Lane Automatic Vehicle Restraint System: Solutions to Make It Easier for Road Crossers Istiyanto, Bambang; Syah, Angga David Maolana; An Najwa, Dihya; Ariffansyah, Yunindra Eka
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.272

Abstract

The problem that is often faced in the crossing area is the lack of safety for pedestrians due to the absence of automatic vehicle protective equipment. Without a system that can automatically hold or slow down the vehicle, drivers are less likely to reduce their speed when approaching the crosswalk, increasing the risk of accidents and making it difficult for pedestrians to cross safely. In this study, the variables used are dependent variables or bound variables. Explain the effectiveness of vehicle restraint, pedestrian safety level, driver reaction time and system success percentage. The method in this study is experimental, namely by manipulating pedestrians with tools. At the same time regarding the overview of the principles or process of the tool. The design of this system is expected to be an innovative solution to make it easier for pedestrians, reduce the risk of accidents in crossing areas and make a positive contribution to improving road safety.
Analysis of Insulation Resistance Testing During Biennial Maintenance of 20 kV Incoming Cubicle Circuit Breakers at Gunung Megang Substation, PT PLN (Persero) ULTG Prabumulih UPT Baturaja Pratama, Muhammad Rizky; Wibowo, Pristisal; Tarigani, Adisastra Pengalaman
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.281

Abstract

This report aims to see the value of insulation resistance on the power breaker that will be tested. The test method uses Megger MIT1025 test equipment where the test performed is Insulation Resistance Testing. The tests carried out can determine the value of insulation resistance on the equipment to be tested is still classified as in good condition or not. The average test result value is in the amount of Giga so that it can be declared in good condition. The value still meets the allowable standards according to SK-DIR 0520 , so that the incoming cubicle power breaker 20 kV GI Gunung Megang is still suitable for use.
Design and Construction of Water Turturity Monitoring Equipment and Automatic Water Pump Tri Krisna, Rivaldo; Fitriani, Endah; Paramitha, Nina; Ariyandi, Tamsir
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.278

Abstract

The ever-increasing need for clean water requires innovation in water quality management and monitoring. This research aims to design and develop a water turbidity monitoring tool and an automatic water pump based on the Internet of Things (IoT) using the ESP32 microcontroller. The main objectives of this research include implementing ESP32 as the main controller, developing a system that can detect and monitor water turbidity levels in real-time using a turbidity sensor. The research results show that the designed tool is able to work well, with a measurement error rate of less than 5%, which shows high accuracy. The turbidity sensor and ultrasonic sensor work optimally, able to determine whether the water is clear or cloudy, and control the water pump automatically. The water pump will stop if the water level exceeds 32 cm or the water turbidity value exceeds 20 NTU. This system successfully meets the initial research objectives, offering an efficient and reliable solution for water quality management.
Reminders and Management of Medication for Diabetes Patients Based on the Internet of Things Binanto, Dicken Lambayu; Sulaiman; Paramitha, Nina; Fitriani, Endah
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.287

Abstract

Innovative technology solutions are developed to help patients manage their medication more effectively. Diabetes is a chronic disease that requires regular monitoring of blood sugar levels and proper regulation of medication consumption. This system is designed to assist diabetics in remembering when to take their medication and to ensure the correct dosage in accordance with the doctor’s recommendations. It utilizes an IoT device connected to a mobile application or web-based platform, allowing users to receive notifications at predetermined times. Additionally, the system includes patient condition monitoring features, such as blood sugar level tracking synchronized with measurement devices. The collected data is transmitted in real-time to the application, enabling both patients and medical personnel to monitor treatment progress and make necessary adjustments. Through the integration of IoT, this system not only enhances patient adherence to medication schedules but also provides better analysis of medication effectiveness and potential risks, thereby minimizing negligence in medication consumption. The implementation of this technology has the potential to significantly improve the quality of life for individuals with diabetes.
A Dual-Layer AI-Driven Cybersecurity Framework for Healthcare: Integrating Offensive and Defensive Strategies in Smart Medical Systems Novagusda, Fahrul Nizar
Fidelity : Jurnal Teknik Elektro Vol 7 No 2 (2025): Edition for May 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i2.298

Abstract

As healthcare systems become increasingly digital and interconnected, the need for smarter and more adaptive cybersecurity is more urgent than ever. This study presents a dual-layer cybersecurity framework powered by artificial intelligence, specifically designed to address the complex security challenges in modern medical environments. The proposed approach combines both defensive strategies—such as data protection, threat monitoring, and regulatory compliance—with offensive strategies that mimic cyberattacks to identify system vulnerabilities before real threats can exploit them. Built on big data, machine learning, and deep learning technologies, the framework enables real-time detection, response, and continuous adaptation to evolving threats. The system architecture includes multi-layered protection, intelligent intrusion detection, and AI-driven simulation of attacker behavior. This paper also explores how the framework supports resilience and flexibility in healthcare cybersecurity, especially in critical areas like diagnostics, telemedicine, and medical device integration. Our findings highlight the potential of this AI-integrated approach to enhance the security of electromedical systems and contribute to more robust, future-ready healthcare infrastructures.
Design of an IoT-Based Dam Sluice Control and Water Level Monitoring System Efansyah, Teguh; Paramitha, Nina; Fitriani, Endah; Ariyadi, Tamsir
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.292

Abstract

The management of water resources in dams relies heavily on reliable control and monitoring systems to prevent disasters such as floods and droughts. This research aims to design and build an automatic control system for dam sluice gates and real-time water level monitoring based on the Internet of Things (IoT). This system uses ultrasonic sensors to measure water levels, microcontrollers as control centers, and servo motors to automatically adjust the sluice gate opening and closing based on a predetermined height threshold. Water level data is sent and displayed in real-time through an IoT platform so that it can be accessed by users via smartphones or computers\cite{alfariski2022automatic}. The test results show that the system is able to monitor the water level with good accuracy and control the floodgates responsively according to actual conditions in the field. Thus, this system is expected to improve the efficiency of dam management and provide early information for disaster mitigation

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