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Journal of Electrical Engineering and Computer (JEECOM)
Published by Universitas Nurul Jadid
ISSN : 27150410     EISSN : 27156427     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy
Journal of Electrical Engineering and Computer (JEECOM) is published by Engineering Faculty of Nurul Jadid University, Probolinggo, East Java, Indonesia. This journal encompasses research articles, original research report, : 1) Power Systems, 2) Signal, System, and Electronics, 3) Communication Systems, 4) Information Technology, etc.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 223 Documents
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Sistem Keamanan Sangkar Burung Berbasis Citra dengan Notifikasi Telegram Aryanto, Dedy; Ayuni, Shazana Dhiya; Ahfas, Akhmad; Falah, Agus Hayatal
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.9306

Abstract

Keamanan properti menjadi salah satu aspek penting dalam kehidupan sehari-hari, termasuk dalam konteks perlindungan hewan peliharaan seperti burung. Burung, terutama yang bernilai tinggi atau langka, seringkali menjadi target pencurian. Oleh karena itu, diperlukan sistem keamanan yang efektif untuk melindungi burung peliharaan dari ancaman tersebut. Sistem keamanan tradisional umumnya mengandalkan metode seperti kunci fisik dan pengawasan manual, yang seringkali tidak cukup efektif dalam mencegah pencurian atau merespon ancaman secara real-time. Oleh karena itu, integrasi teknologi modern dalam sistem keamanan menjadi sangat penting. Salah satu teknologi yang dapat diandalkan adalah kamera berbasis IoT yang dapat memantau dan mengirimkan informasi secara langsung kepada pemilik melalui aplikasi pesan instan seperti Telegram. Baterai sebagai catu daya untuk semua komponen dalam dalam rangkaian dengan tegangan +5 volt. Untuk memonitoring sangkar burung, sensor PIR akan mendeteksi pergerakan melalui radiasi inframerah yang dipancarkan oleh tubuh manusia ataupun objek yang bergerak dan diwaktu yang bersamaan kamera dari ESP32-CAM melakukan pengambilan gambar lalu dikirim ke mikrokontroller ESP32-CAM, kemudian gambar akan dikirim ke Telegram dan mengirim notifikasi ke smartphone. Dan dapat  disimpulkan jika alat yang peneliti jabarkan berfungsi dengan baik dan sebagaimana dengan fungsi dan tujuan alat tersebut dibuat. Hal itu dibuktikan dengan bot aplikasi telegram yang berhasil terhubung dengan sistem dan menampilkan kondisi sekitar sangkar burung yang dijadikan obyek pada penelitian kali ini. System pada alat tersebut juga dapat  beroprasi dengan baik mesikpun dengan jarak yang jauh.
Penerapan Teknologi QR Code untuk Optimalisasi Absensi di PT. Sejahtera Paiton Syafiih, M.
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.8667

Abstract

PT. Sejahtera Paiton mengalami kesulitan dalam mengelola presensi karyawan dengan metode konvensional yang cenderung tidak akurat dan memakan waktu. Untuk mengatasi masalah ini, perusahaan berupaya mengembangkan sistem absensi berbasis web menggunakan QR code untuk meningkatkan efisiensi dan akurasi pencatatan kehadiran karyawan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi yang efisien dan akurat dengan memanfaatkan teknologi QR code berbasis web, serta mengevaluasi efektivitas metode Rapid Application Development (RAD) dalam pengembangan sistem tersebut di PT. Sejahtera Paiton. Metode RAD digunakan karena keunggulannya dalam pengembangan cepat melalui iterasi dan umpan balik pengguna yang terus-menerus. Tahapan pengembangan meliputi: (1) Perencanaan syarat-syarat untuk mengidentifikasi kebutuhan dan mendefinisikan persyaratan sistem; (2) Workshop desain RAD untuk menghasilkan prototipe awal dan mendapatkan umpan balik langsung dari pemangku kepentingan; (3) Implementasi iteratif yang mencakup pengembangan, pengujian, dan penyempurnaan sistem berdasarkan umpan balik pengguna. Implementasi sistem absensi berbasis QR code menunjukkan peningkatan signifikan dalam akurasi dan efisiensi pencatatan kehadiran karyawan. Sistem ini memungkinkan pemantauan kehadiran secara real-time dan mengurangi risiko manipulasi data. Metode RAD terbukti efektif dengan kesesuaikan aplikasi mencapai 85% membantu manajemen dalam pengelolaan presensi karyawan.
Design of 30 A PWM Type Solar Charge Controller Module for 100 Watt Lamp Load Imaduddin, Ilmir Rizki; Basri, Muhammad Hasan; Mujib, Abdul; Rahman, Moh. Taufiqur; Khairudin, Ahmad Vardin; Eka, Sefri Aditya; Husen, Moh.; Fatoni, Isbet
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.9659

Abstract

The electrical energy produced by solar panels has been used as a renewable energy solution to support human life. In reality, this alternative energy has not been widely used due to the constraints of expensive initial investment, so it is necessary to design solar power generation components, one of which is a reliable, optimal, efficient and economical solar charge controller. The controller is made using the switching method. The switching process can occur by setting the duty cycle through the embedded controller in the solar charge controller circuit. Based on the test results, a duty cycle value of 1% to 100% can occur the switching process. The duty cycle that has been set on the solar charge controller is 90%. The duty cycle is a duty cycle where the output voltage approaches the setpoint of the minimum charger voltage. The input voltage from the solar panel when connected to the battery of ±16 volts can be regulated to ±14 volts by the solar charge controller. Based on the battery charging specifications, the controller output can be used to charge a 12 volt battery.
Decision Support System for Electric Vehicles Selection Using Simple Additive Weighting Suwanto, Thomas Christian; Koloay, Steven; Adrian, Angelia Melani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10909

Abstract

Electric vehicles (EVs) are vehicles entirely powered by electric motors using energy stored in batteries. In Indonesia, interest in electric vehicles is increasing, supported by government initiatives to reduce carbon emissions and improve infrastructure. The main issues faced are potential buyers' hesitation in choosing electric vehicles due to the limited variety of models, high prices, and insufficient information provided to buyers.This research aims to build a decision support system for selecting electric vehicles using the Simple Additive Weighting (SAW) method. The selection of electric vehicles using the SAW method requires criteria derived from sales brochures, official dealer websites, automotive exhibitions, and trusted news sources. The criteria used include price, range, battery capacity, passenger capacity, and vehicle speed. In the application development process, the waterfall method was used. The modeling tools used in this research are Flowcharts, Data Flow Diagrams, and Entity Relationship Diagrams, while the application development uses HTML and JavaScript.Based on the research conducted, all features function well, and out of the five alternatives used in this study, the results show that the Hyundai Ioniq 6 has a score of 0.9, while the Wuling Air EV Long Range has a score of 0.59.
Temperature and Humidity Monitoring System Using Node-Red Based on MQTT Protocol Utomo, Eko Budi; Izzaturrahmani, Nurhaliza
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10658

Abstract

Temperature and humidity monitoring system integrated with the Internet of Things (IoT) is an innovative step in monitoring environmental conditions in real-time. This research develops a monitoring system based on the MQTT (Message Queuing Telemetry Transport) protocol integrated with the Node-RED platform. A temperature sensor is used to read temperature data, which is then sent via the MQTT protocol to the broker server. Node-RED acts as a visual interface to process, analyze, and display the temperature data in the form of an interactive dashboard. The system is designed to support easy integration, lightweight data management, and remote monitoring. Experimental data was obtained by comparing sensor readings with a variety of different environmental conditions. The test results show that this monitoring system is able to provide information related to temperature data with an accuracy above 98.4%. With this system, users can monitor temperature and humidity based on accumulated data or in real-time so that it is more accurate because it has a small average error of 0.4°C. Users can plan actions to be taken related to controlling environmental conditions.
Classification of LPG Gas Usage Satisfaction Level Using The Naïve Bayes Algorithm Adrian, Angelia Melani; Patras, Bella Alisia; Sanger, Junaidy B.
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.11064

Abstract

LPG gas is a very important energy source in everyday life for cooking activities. Although the importance of LPG gas in supporting everyday life has been widely recognized, satisfaction with the use of LPG gas is an issue that should not be ignored. Often products or services that do not meet customer expectations can cause dissatisfaction. This can be caused by low quality, prices that do not match the quality received, or not in accordance with user expectations.This study aims to classify the level of satisfaction of LPG gas usage using the Naïve Bayes algorithm. The data obtained from the survey results are 250 data using 5 attributes, namely meeting needs, good quality, affordable prices, repurchasing, and recommending products. And using 2 classes, namely satisfied and dissatisfied.The model achieved an accuracy of 89.3% with a 70:30 training-to-test data split, 91.2% with an 80:20 split, and 94.0% with a 60:40 split, indicating that performance varied based on the proportion of training and test data used.
Lighting System Control for Cataract Maturity Imaging Device Setiawan, Katon Bagus; Somawirata, I Komang; Faradisa, Irmalia Suryani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10849

Abstract

As technology advances, various innovations have been made to assist in diagnosing and treating cataracts. In cataract detection, artificial intelligence-based methods such as Convolutional Neural Networks (CNN) have proven very effective in detecting cataracts. CNN can classify eyes with an accuracy of up to 87%. In addition to image processing techniques such as CNN, the quality of the resulting images highly depends on the lighting system used during the eye image capture. This research expects the lighting system to be designed to adjust light intensity flexibly. This feature allows for adjusting brightness as needed, ensuring high-quality image results without compromising eye health. From this research, the image quality test results show good quality in the duty cycle range of 23.53% to 62.75% with light intensity of 30-84 lux. This indicates that the light intensity at the medium level produces images with good indicators. However, the light intensity conditions at the medium level begin to vary in terms of visual comfort and are still tolerable by most users. In the final test, an experiment involving respondents and image analysis using image processing was conducted. From the experiment, the respondents felt comfortable with the light intensity emitted by the LED. In the image processing section, the average number of images taken to obtain a good indicator was 3 times. A structured lighting system can ensure that good image results are obtained and patients feel comfortable with the light intensity used.
Implementation of YOLOv7 Model for Human Detection in Difficult Conditions B, Arijal; Sunyoto, Andi; Hanafi, M.
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10662

Abstract

The rapid development of artificial intelligence technology in recent decades has led to the development of highly efficient object detection algorithms, including human detection under difficult conditions. Human detection is one of the major challenges in computer vision as it involves various complex factors such as obstructed human objects, pose variations, small low-resolution human objects, as well as the presence of fake human objects such as statues or images. This research uses the SLR (Systematic Literature Review) method to determine the algorithm used, namely YOLOv7. The three YOLOv7 models tested in this study are YOLOv7x.pt, YOLOv7-w6-person.pt, and YOLOv7-w6-pose.pt. These models were selected based on their excellence in detecting human objects and their relevance for complex scenarios. Tests were conducted using 100 images obtained from the internet and divided into four categories of human objects under difficult conditions, which represent various challenges in human detection. Analysis was performed using convusion matrix to evaluate performance metrics such as accuracy, precision, recall, and F1-score. Based on the test results, the YOLOv7-w6-person.pt model showed the best overall performance, especially in detecting humans in obstructed conditions and complex lighting with a precision of 90.4%, Recall 88.7%, and F1-Score 89.5%. This model has higher accuracy, precision, and F1-score than the other models, making it a reliable choice for human detection in difficult scenarios. These findings not only demonstrate the relevance of YOLOv7 as a reliable human detection algorithm, but also provide a basis for further optimization of YOLOv7-based human detection systems, both through improving the model architecture and adapting to more specific datasets. This research makes an important contribution to the development of human detection technologies for real-world applications, such as surveillance, crowd analysis, and automated safety systems.
Development and Deployment of an IoT-Based Telemedicine System for Infant Warming Devices Fauzi, Ekha Rifki; Doungjan, Kamonthip; Respati, Hanif Budi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10763

Abstract

Neonatal hypothermia is a serious health concern, especially for premature babies and those with low birth weight, often resulting in complications like metabolic acidosis, hypoxia, and an increased risk of other health issues. To address this, newborn warming technologies have been developed, offering a controlled environment to regulate the baby’s body temperature. This study focuses on creating and implementing an IoT-powered telemedicine system that works with an infant warming device to enhance neonatal care. The system includes sensors to monitor temperature and heart rate in real time, ensuring the baby's safety and promoting the best possible clinical outcomes. With IoT architecture, healthcare professionals can remotely manage and monitor the baby's condition, making quick decisions when necessary. This approach overcomes the limitations of current devices by incorporating fuzzy logic control alongside real-time telemedicine features, all accessible via portable devices. By integrating these technologies, the system offers a solution to managing neonatal hypothermia, especially in settings with limited resources. Additionally, it has the potential to cut down on hospital transfers, improve outcomes for newborns, and ease the burden on caregivers and families. The research suggests that this IoT-enabled infant warming system could significantly boost the effectiveness of neonatal care, making it an invaluable tool for healthcare professionals.
Research Study of ROS2 Library and Interface Development for Industrial Robotic Arm Mitsubishi RV2-SDB Utomo, Eko Budi; Aziz, Mochammad Abdul
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10663

Abstract

This research study is purposed for development the ROS2 library wich provides the ROS2 interface for industrial robotic arm Mitsubishi RV-2SDB. This library for facilitate the important data acces, such as data joint, position, jog mode, error message, and alarm. By utilizing the ROS2, this library designed for integration suport and robot development in simulation of industrial process, as well as wider automation. The use of ROS2 is deployment modularity and scalability, enable to easier integration with existing automation system. Research studies show that this library is able to improve the efficiency and reliability of robot operations, supporting the industrial revolution 4.0 by creating flexible and integrative solutions.

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