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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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Fleet Management Information System Design PT. Bagus Amelia Jaya Uses the User Method Web-Based Centered Design Lubis, Bagus Rizki; Suendri, Suendri
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.13084

Abstract

This study discusses the design of a Fleet Management Information System at PT. Bagus Amelia Jaya using a User Centered Design (UCD) approach and developed as a web-based application with the Laravel framework. The company's main problems include manual recording, the lack of a structured fleet maintenance schedule, limited visibility of fleet and driver data, and minimal support for operational decision-making. The methodology used combines Research & Development (R&D) with the UCD cycle: understanding the context of use, determining user needs, generating design solutions, and conducting iterative evaluations through usability testing. The research results are a system design that provides fleet data modules, service schedules, operational expenses, role-based user management, and structured reporting. The UCD approach ensures the interface design is aligned with the company's workflow and reduces the learning curve for internal users. This research is expected to fill the gap in previous research that predominantly focuses on technical aspects without comprehensive user involvement.
Design and Evaluation of a Web-Based Geographic Information System for PPDB Promotion Zoning Based on Student-Origin Distributions Suri, Riko Muhammad
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12706

Abstract

Advances in information technology have accelerated the digitalization of educational services, including Indonesia’s student admission process (PPDB). This study designs and evaluates a web-based Geographic Information System (GIS) to map student-origin distributions and construct promotion zones that guide PPDB outreach strategies. The system was built with CodeIgniter and Leaflet for interactive mapping, while applicant addresses/school origins were processed via geocoding. Outputs include point maps, density heatmaps, administrative-area aggregation (urban village/sub-district), and simple distance buffers (e.g., 1–3 km) to derive rule-based priority promotion zones (thresholds on density and proximity to the school). Evaluation comprised functional testing (black box) and user assessments using questionnaires (Likert/SUS). Results indicate that the system expedites registration, reduces the risk of data loss, simplifies data summarization, and provides promotion-zoning maps that help committees target outreach more effectively. The contributions are: (1) a PPDB web-GIS model that combines origin mapping with rule-based promotion zoning, (2) a replicable operational workflow, and (3) recommendations for future work, including advanced analytics dashboards and automated notifications
Prototype of Automatic Plant Watering Control Based on Internet of Things Using Blynk App Permatasari, Delila; Kusuma, Erlillah Rizqi; Asti, Irfin Sandra
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12694

Abstract

Ornamental plants can grow both indoors and outdoors and can also be used for room decoration. Problems arise when plants don't get the water they need, resulting in insufficient or excessive watering, which can lead to poor growth. Therefore, the purpose of this research is to create a prototype automatic plant watering system to meet plant water needs. An automatic plant watering control system uses an on-off solenoid valve. This automatic plant watering system utilizes a monitoring method that can be remotely monitored using the Blynk IoT (Internet of Things) application in real time to determine soil moisture levels and indicators.Test results showed an average error value for ultrasonic sensor measurements of 0.65%. In soil moisture testing, the soil was dry at less than 38% humidity, damp at 38%-65% humidity, and wet at more than 65% humidity. The test results showed that the DC motor pump output will operate to flow water to the water storage tank if the ultrasonic sensor in the water tank measures the water level below the set point of 10 cm. The solenoid valve will be activated to flow water for the plant watering process if the soil moisture sensor detects a soil moisture value of less than 38%, then the solenoid will be activated until the soil moisture indicator value reaches 65%.
MADM Method for Flower Type Selection in Ornamental Plant Watering Based on Microcontroller and Solar Panels Tijaniyah, Tijaniyah; Hidayatullah, Syarif; Fahlan, Nauval Sya'bani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.13030

Abstract

This research aims to develop an automatic watering system based on a microcontroller and solar panels, using the Multi-Attribute Decision Making (MADM) method to determine the type of flower that is suitable for the watering system. Solar panels are used as the main energy source to increase the efficiency and sustainability of the system. The Multi-Attribute Decision Making ( MADM) method with the SAW technique uses the highest ranking calculation. The types of ornamental plants are Bougainvillea, Monstera, Peace Lily (Spathiphyllum) and pothos. The highest ranking for the type of flower is the monstera flower with a weight value of 11.95. With this system, ornamental plant owners can more easily determine plants and care for their plants without the need for regular manual watering. In addition, the use of solar panels makes this system more energy efficient and environmentally friendly. The owner of the flower shop really welcomed this control system tool because it can save Rp. 36,000 per month for electricity costs for watering ornamental plants because all power can be generated by solar panels, namely 250 Watts per day with a panel size of 120 WP. The total power usage of the ornamental plant watering control system is 35.25 Watts. Solar panels produce less power in the morning, at 9-10 watts, and 96-99 watts in the afternoon. During hot weather, solar panels produce more power
Hybrid ViT–CNN Model for Automatic Monkeypox Skin Lesion Diagnosis Triwerdaya, Aji; Utami, Ema
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12795

Abstract

Monkeypox is a re-emerging zoonotic disease that presents with skin lesions resembling other dermatological conditions, which complicates reliable diagnosis. This study introduces a hybrid deep learning framework that integrates Vision Transformers (ViT) with Convolutional Neural Networks (CNN) for automatic classification of monkeypox lesions. Three hybrid scenarios were evaluated: ViT + DenseNet121, ViT + ResNet50, and ViT + InceptionV3.A combined dataset of PAD-UFES-20 and the Monkeypox Skin Lesion Dataset (MSLD), containing more than 2,500 dermoscopic images resized to 224×224 pixels, was used to train all models from scratch. Unlike prior works that relied on transfer learning and extensive augmentation, this study establishes a reproducible baseline without such enhancements. Model performance was assessed using accuracy, precision, recall, F1-score, and ROC-AUC, as well as computational efficiency metrics including training time and inference speed.The results show that hybrid ViT–CNN architectures achieved consistently better performance than single networks. Among the three scenarios, ViT + InceptionV3 provided the most balanced outcome, This approach combines reliable diagnostic accuracy with efficient inference. These findings demonstrate the value of integrating CNN-based local feature extraction with the global contextual modeling capacity of ViTs.This study establishes an experimental benchmark for monkeypox lesion classification and identifies hybrid architectures as a viable direction for future development. The framework can be extended with transfer learning, advanced augmentation, and lightweight optimization techniques, supporting potential deployment in resource-limited healthcare environments.
Application of Backpropagation Artificial Neural Networks for Optimizing Corn Production Prediction in Karo Regency Pratama, Angga; Yulisda, Desvina; Tarigan, Anjasmara
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.13065

Abstract

Corn production in Karo Regency, North Sumatra, plays a crucial role in supporting regional food security and the local economy. However, fluctuations in production caused by unpredictable environmental conditions and limited data-driven forecasting methods have made it difficult for policymakers and farmers to plan effectively. This study aims to address this problem by developing a model to predict corn production using the Backpropagation Neural Network (BPNN) method. The study utilized 302 cleaned datasets, with Planted Area and Harvested Area as input variables, and Production as the output variable. The dataset was divided into 70% for training and 30% for testing. Five BPNN architectures (ranging from 2-4-1 to 2-12-1) were tested using three activation functions (Sigmoid, ReLU, and Tanh), with a maximum of 200 iterations and a learning rate of 0.01. The best results were achieved by the 2-12-1 architecture with the Tanh activation function, obtaining an R-squared value of 94.86% and a Mean Squared Error (MSE) of 0.0039. These findings demonstrate that the Backpropagation Neural Network is effective for forecasting corn production and can serve as a valuable decision-support tool for sustainable agricultural planning in the region.
Digital Transformation of Sugarcane Sales Administration at CV Al Ameen: Integration of Payment Automation and Visual Analytics for Distribution Optimization Firdausi, Faiz; Supeni, Nely; Wiranto, Ferry; Rohim, Muhamat Abdul; Sulistyan, Riza Bahtiar
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12624

Abstract

The sales administration of sugarcane at CV Al Ameen, Jember, is still managed manually, resulting in risks such as inaccurate records, delays in shipment monitoring, and irregular fund disbursement. The lack of a centralized system hinders real-time transaction recapitulation and creates opportunities for fraud, particularly duplicate payment claims. These inefficiencies not only threaten financial accuracy but also undermine the reliability of business reporting. To address these issues, this study proposes a digital administration system that automates transaction recording, verifies payment claims, and improves distribution monitoring accuracy.The system integrates a Telegram Bot for payment automation and interactive visual analytics to monitor both distribution and financial transactions in real time. It is initially implemented as an offline local application to ensure accessibility, with the potential for future adaptation to web- or cloud-based platforms. Key features include automatic transaction recap, Telegram-based notifications, and periodic reporting to business stakeholders without the need for manual record-keeping. The Telegram Bot employs unique delivery identifiers to validate claims, ensuring that each payment request is processed only once, thereby reducing the risk of fraudulent activity.System communication is achieved through the Telegram API and webhook mechanism, enabling automated updates on new transactions, shipment status, and fund disbursement. Furthermore, the bot supports user queries for transaction summaries and payment reminders. The system development follows the Agile Model, which allows iterative design and continuous refinement in line with business partner requirements. The findings demonstrate that the integration of automation and analytics significantly enhances accuracy, efficiency, and transparency in sugarcane sales administration.
Raw Material Management Information System at D'Fans Coffee Using Web-Based Buffer Stock and FEFO Methods Lubis, Bayu Fadhli Erlangga; Alda, Muhamad
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12999

Abstract

Manajemen stok dan bahan baku yang efisien sangat penting untuk menjaga kelancaran operasional bisnis di industri minuman. Ketidakmampuan mengelola stok dapat menyebabkan kekurangan bahan baku, pemborosan, dan tingginya biaya operasional. Untuk mengatasi permasalahan tersebut, digunakan metode buffer stock untuk menyimpan cadangan stok tambahan yang dapat menghindari gangguan dalam proses produksi, sekalipun terjadi perubahan pasokan maupun permintaan. Selain itu, penerapan strategi First Expired First Out (FEFO) diperlukan untuk memantau kualitas bahan baku yang memiliki masa simpan terbatas, guna menghindari kerugian akibat produk kedaluwarsa. Perkembangan teknologi informasi memberikan dampak yang signifikan terhadap manajemen inventaris bagi Usaha Mikro, Kecil, dan Menengah (UMKM). Dengan beralih ke sistem digital, pemantauan stok dapat dilakukan secara akurat dan real time, sehingga memudahkan pemilik usaha untuk mengelola stok secara lebih fleksibel dan responsif terhadap perubahan permintaan pasar. D'Fans Coffee, salah satu UMKM di Medan, masih mengandalkan pencatatan manual yang berisiko terjadi kesalahan, terutama ketika volume transaksi tinggi. Kesalahan pencatatan ini dapat mengakibatkan perbedaan antara data yang tercatat dan kondisi aktual di gudang, sehingga mengganggu kelancaran operasional. Untuk itu, diperlukan sistem informasi inventaris yang mengintegrasikan metode FEFO dan Reorder Point (ROP) untuk menentukan waktu yang tepat untuk melakukan pemesanan ulang. Dengan penerapan sistem terintegrasi ini,
Designing a Web-Based Digital Financial System for Islamic Boarding Schools with Payment Gateway Integration Hudawi, Ahmad; Jaykiah, Nor; Firdausi, Ummi Lailatul
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.13019

Abstract

Financial management in Islamic boarding schools still faces various fundamental problems, particularly due to dependence on manual recording and simple applications. This management pattern often causes delays in report preparation, increases the potential for recording errors, and reduces transparency. This condition impacts the trust of students' guardians and stakeholders. In addition, the diversity of student guardians, including those from outside the region, further complicates the payment process due to limited access to remote transaction services. This situation highlights the urgency of developing a web-based digital financial system that can effectively integrate modern payment technology and adapt to the needs of Islamic boarding schools. This study aims to design and implement a digital financial system for Islamic boarding schools by integrating the Midtrans payment gateway to improve financial management's efficiency, transparency, and accountability. The method used is a model consisting of three main stages: data collection through observation and interviews with financial managers, system design using use case diagrams, activity diagrams, and class diagrams, and system testing with internal and external black box testing approaches. The system implementation utilizes the Laravel framework, MySQL database, and web-based interface with Login, Dashboard, student data, payment, and financial reporting features. The results show that the developed System can comprehensively address the financial management needs of Islamic boarding schools. External testing using a Likert scale questionnaire obtained a rating of Good-Very Good with an achievement of up to 86%, thus confirming the feasibility of the system implementation. This System has been proven to facilitate online payments, accelerate the report preparation process, and improve access to information for student guardians. Thus, a web-based digital financial system integrated with a payment gateway can be a strategic solution for enhancing the transparency and accountability of pesantren finances. Further research is recommended to strengthen data security, expand coverage to multiple pesantren, and conduct continuous testing on a broader scale
Digitization of Employee Attendance Processes Through a Web-Based QR Code System at MA Nurul Wahid al Wahyuni Karim, Abdul; Hidayah, Moh. Syahrul; Adom, Nazri
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12536

Abstract

The manual attendance process at MA Nurul Wahid al Wahyuni often causes various problems, such as late recording, inaccurate data, and potential fraud. Therefore, this study aims to design and implement a web-based employee attendance system by utilizing QR Code technology as a more efficient and accurate digital solution. The methodology used in developing this system is the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. This system allows each employee to take attendance by scanning a QR Code via a mobile device, which automatically records the time and user identity into the database. The test results show that this system is able to increase the efficiency and accuracy of attendance recording, namely this system is proven to be able to speed up the attendance process and cannot be changed by ordinary users, as well as facilitate the management of attendance data by the administration department. With the implementation of this system, it is expected that the attendance process at MA Nurul Wahid al Wahyuni will become more modern, transparent, and integrated

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