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Jurnal Media Infotama
Published by Universitas Dehasen Bengkulu
ISSN : 18582680     EISSN : 27234673     DOI : https://doi.org/10.37676/jmi.v15i2.866
Core Subject : Science,
Computer Science & IT
Jurnal Media Infotama Fakultas Ilmu Komputer Universitas Dehasen Bengkulu memiliki ISSN: 1858-2680 dan e-ISSN : 2723-4673 merupakan jurnal ilmiah yang menerbitkan artikel ilmiah yang berhubungan dengan ilmu komputer dan ilmu yang berhubungan dengan komputer. Adapun topik artikel meliputi : Sistem Informasi, Teknologi Informasi, Pengolahan Citra, Robotika, Analisa Perangkat Keras dan Perangkat Lunak, Jaringan Komputer Data Mining, Clustering, Media Pembelajaran Berbasis Komputer, dan lain-lain. Jurnal Media infotama terbit dua kali dalam satu tahun, yaitu pada Bulan Februari dan September.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 571 Documents
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Penerapan Deep Learning Untuk Klasifikasi Penyakit Mata Menggunakan Metode Convolutional Neural Network Alfarida Dewi Aprilia; Arius Satoni Kurniawansyah; Yupianti Yupianti
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12103

Abstract

Eye diseases such as cataracts, diabetic retinopathy, and glaucoma are among the leading causes of visual impairment and can result in blindness if not detected at an early stage. The application of Deep Learning technology, particularly Convolutional Neural Networks (CNNs), provides an opportunity to support the automatic classification of eye diseases based on retinal fundus images. This study aims to develop an eye diseaseclassification model using the EfficientNetB0 architecture with a transfer learning approach. The dataset used was the Eye Diseases Classification dataset from Kaggle, consisting of 4,217 retinal fundus images categorized into four classes: Cataract, Diabetic Retinopathy, Glaucoma, and Normal. Before the training process, the images underwent preprocessing, including image resizing, normalization, and data augmentation. The model was trained using the Tensor Flow/Keras framework in the Google Colab environment and evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The experimental results showed that the proposed model achieved an overall accuracy of 73.23%. The Cataract class demonstrated the best performance, with a precision of 0.78, a recall of 0.92, and an F1-score of 0.84. In contrast, the Glaucoma class obtained the lowest recall of 0.36, indicating that the model still encountered difficulties in correctly identifying a considerable number of glaucoma images. Overall, the results indicate that the EfficientNetB0 architecture is capable of classifying eye diseases from retinal fundus images with satisfactory performance. However, increasing the dataset size, optimizing preprocessing techniques, and applying more extensive fine-tuning are recommended to further improve the model's performance, particularly in glaucoma classification
Analisis Kesenjangan (Gap Analysis) Keamanan Informasi pada Instansi Pemerintah Indonesia Berdasarkan Indeks KAMI 5.0 dan Standar Internasional Dimas Ahsanul Habibi; Eri Zuliarso; Eka Ardhianto
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12173

Abstract

Penelitian ini bertujuan menganalisis kesenjangan (gap analysis) keamanan informasi pada instansi pemerintah di Indonesia menggunakan Indeks Keamanan Informasi (KAMI) versi 5.0 yang dikembangkan oleh Badan Siber dan Sandi Negara (BSSN). Evaluasi difokuskan pada tiga aspek utama, yaitu tata kelola keamanan informasi, pengelolaan risiko, dan kerangka kerja keamanan informasi, kemudian dibandingkan dengan persyaratan ISO/IEC 27001:2022 serta NIST Cybersecurity Framework (CSF). Hasil analisis menunjukkan bahwa sebagian besar instansi pemerintah masih berada pada tingkat kematangan dasar dengan nilai rata-rata 450 dari total 645 poin. Kesenjangan yang paling signifikan ditemukan pada aspek pengelolaan risiko, implementasi pengendalian keamanan, serta mekanisme pemantauan dan evaluasi yang belum sepenuhnya memenuhi standar internasional. Kondisi tersebut menunjukkan bahwa penerapan keamanan informasi masih memerlukan penguatan, baik dari sisi kebijakan, tata kelola, maupun pengendalian teknis untuk meningkatkan efektivitas perlindungan aset informasi. Berdasarkan temuan tersebut, penelitian ini merekomendasikan penguatan manajemen risiko, peningkatan kepatuhan terhadap ISO/IEC 27001:2022, optimalisasi penerapan NIST CSF, serta pengembangan kompetensi sumber daya manusia sebagai langkah strategis dalam meningkatkan tingkat kematangan keamanan informasi di lingkungan instansi pemerintah Indonesia.
Penerapan Snort Dalam Mendeteksi Penyerangan Pada Sistem Keamanan Jaringan Komputer SMKN 2 Seluma Ade Manza Putra; Khairil Khairil; Hendri Alamsyah
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12183

Abstract

This research focuses on deploying Snort as an Intrusion Detection System (IDS) to fortify the computer network security at SMK Negeri 2 Seluma, specifically targeting the protection of school servers and network infrastructure. Empirical testing demonstrated that the system successfully detected Ping of Death attacks by identifying anomalous Internet Control Message Protocol (ICMP) traffic, consequently generating high-priority alerts. During malware evaluation, Snort effectively flagged the EICAR Standard Anti-Virus Test File when accessed through PowerShell; however, it failed to recognize the payload when downloaded via a standard web browser. Furthermore, the system successfully identified simulated W32/ProxyBack trojan activity executed via HTTP CONNECT communications using PowerShell, triggering maximum-priority alerts to indicate a critical threat level.
Sistem Informasi Penyewaan Kamar Kost Berbasis Web Putri Fajar Wati; Khairil Khairil; Venny Novita Sari
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12401

Abstract

The management and rental transaction processes at Kost Lineska are currently conducted manually, resulting in inefficiencies in tenant data recording, difficulties in confirming room availability, and a risk of errors in rental payment bookkeeping. This study aims to design and develop Web-Based Boarding House Room Rental Information System that transforms the rental management process into a computerized system, making it easier, more accurate, transparent, and wellorganized. The system was developed using the PHP programming language and a MySQL database. The results of the study successfully produced an online boarding house rental application that supports two user access levels, namely administrators and tenants. Through this system, boarding house managers can manage room data, verify rental applications, update payment statuses, and view monthly rental reports. Meanwhile, tenants can register accounts, view available rooms, submit rental requests, upload proof of payment transfers, and independently print payment receipts. Based on functional testing using the Black Box Testing method, all features of the application were proven to operate properly and successfully without any system errors. Therefore, the system is considered highly feasible for supporting convenient and integrated boarding house rental management.
E-Commerce Produk Minuman Pada Toko Minumin Bobby Dwi Saputra; Indra Kanedi; Venny Novita Sari
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12402

Abstract

Commerce for Beverage Products at Minumin Shop is a web-based system designed to support the online sales process of beverage products. This research was motivated by the existing sales process, which was still conducted manually, requiring customers to visit the store directly to view the menu, inquire about prices, and place orders. This condition resulted in inefficient service, increased the risk of order-recording errors, and complicated the management of product data, transactions, and sales reports. The objective of this study is to develop an e-commerce system that facilitates consumers in obtaining product information, placing orders, making payments, and monitoring order status online. The system development method employed was Rapid Application Development (RAD), consisting of the phases of requirements planning, user design, construction, and implementation. The system was developed using the PHP programming language and MySQL database. The results of the study indicate that the system is capable of performing its main features, including login, member registration, product categories, product details, shopping cart, checkout, payment processing, invoice generation, order status tracking, notifications, transaction history, as well as sales, payment, and sold-product reports. Based on the results of Black Box testing, all system functions operated in accordance with the expected outputs. Therefore, the system can assist the sales process at Minumin Shop by making it easier, faster, more structured, and more efficient.
Analisis Performa Algoritma Hierarchical Clustering Untuk Identifikasi Pola Kematian Ikan Lele Pada Budidaya Lele Tiga Saudara Agung Amanda Pratama; Dewi Suranti; Deri Lianda
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12405

Abstract

Tiga Saudara Catfish Farm in Bengkulu City has experienced varying mortality rates across different cultivation periods; however, these patterns have not been systematically analyzed using a data-driven approach. This study aims to identify catfish mortality patterns using Agglomerative Hierarchical Clustering (AHC) method. The dataset consisted of 90 days of operational records, including water temperature, pH levels, and feed types. The analytical process followed the Knowledge Discovery in Databases (KDD) framework, encompassing data preprocessing through One-Hot Encoding and Min–Max normalization, Euclidean distance calculation, and the implementation of the AHC algorithm using Single, Average, and Complete Linkage methods. The results indicate that the Average Linkage method achieved the best performance, with a Cophenetic Correlation Coefficient (CCC) value of 0.9789. The optimal number of clusters was determined to be four (k=4) based on a Silhouette Score of 0.8175. These four clusters represent distinct operational conditions within the farming system, namely Safe, Alert, Critical, and Recovery conditions. The findings further reveal that the use of alternative feed derived from bread waste contributed to a decline in water pH levels to a range of 6.0–6.8 and a significant increase in fish mortality, resulting in a total loss of 1,465 fish and an estimated financial loss of IDR 1,044,000 per production cycle. Model validity testing through White-Box Testing produced a CCC value of 0.9789 and a Silhouette Score of 0.8175, both exceeding the predetermined acceptance thresholds. Furthermore, system functionality testing through Black-Box Testing on 14 test cases within the AHC pipeline and Power BI dashboard demonstrated a 100% success rate. The clustering results were visualized through an interactive Microsoft Power BI dashboard, providing risk maps, daily mortality trends, and cluster distributions as decision-support tools for catfish farmers. This enables rapid identification of risk conditions and facilitates preventive actions before mass mortality events occur
Klasifikasi Parameter Penyebab Kecelakaan Lalu Lintas Dengan Algoritma Decission Tree Di Wilayah Polresta Kota Bengkulu Ronna Mutiara Maheswari Wahyudi; Herlina Latipa Sari; Desi Mahdalena
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12422

Abstract

The Traffic accidents are a complex issue influenced by multiple factors, including human behavior, vehicle conditions, road characteristics, and environmental conditions. Historically, traffic accident data maintained by the Police Department of Bengkulu City have been utilized primarily for descriptive reporting, limiting their potential to reveal comprehensive patterns of accident causation. This study aims to identify the dominant factors contributing to traffic accidents, implement the Decision Tree C4.5 algorithm for accident classification, and evaluate the performance of the resulting classification model. This study used the Knowledge Discovery in Databases (KDD) methodology. The dataset consisted of historical traffic accident records obtained from the Jurisdiction of Bengkulu City Police. Data processing was conducted using Python in the Google Collaboratory environment through several stages, including exploratory data analysis (EDA), data preprocessing, model development, and performance evaluation. The results demonstrate that the proposed model successfully identified relationships among accident causative factors through the construction of a decision tree, generating 20 classification rules. Road Surface Condition was identified as the most influential predictor, with a feature importance value of 0.30, followed by Special Information (0.15), Speed Limit at the Accident Location (0.13), and Lighting Condition (0.10). Model evaluation showed an overall accuracy of 65.2%, with a weighted average F1-score of 75.9%, indicating satisfactory performance in classifying the majority classes. However, the macro average F1-score of 28.9% suggests that the model's performance on minority classes remains limited due to class imbalance in the dataset. This study is expected to provide a data-driven foundation for developing more effective traffic accident prevention and mitigation strategies in the Jurisdiction of Bengkulu City Police.
Optimalisasi Pencarian Data Menggunakan Algoritma B-TREE Muhammad Yusuf; Jhoanne Fredricka; Desi Mahdalena
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12425

Abstract

The performance of the information system at the Regional Library Agency of Bengkulu Province currently experiences responsiveness constraints, particularly in the book and membership data retrieval processes. This high latency is triggered by an increasing volume of data that is still processed using linear scanning or a full table scan method on the database. Therefore, this study aims to optimize query execution time through the design and implementation of the B-Tree indexing algorithm within a MySQL database management system environment. The execution of this research adopts the stages of the Waterfall method to ensure a structured implementation without rebuilding the system from scratch. Testing was executed through two approaches: Black Box functionality testing to validate user interface precision, and Performance Testing to comparatively analyze computational execution times between non-indexed and indexed tables. Empirical experimental results on a population of 10,000 data rows prove that the implementation of the B-Tree algorithm yields highly significant computational efficiency. The average execution time for book data searches was successfully reduced from 2.9651 milliseconds to 0.5895 milliseconds, creating an 80.12% increase in efficiency. In member data retrieval, the execution time was compressed from an average of 5.8076 milliseconds to 0.7430 milliseconds, achieving an efficiency surge of 87.21%. In conclusion, the application of the B-Tree indexing technique is quantitatively proven to resolve data processing latency bottlenecks. This optimization solution enables library circulation services to operate much more responsively and consistently, with waiting times under one millisecond.
Implementasi Metode Weighted Agregated Sum Product Assesment (WASPAS) Untuk Seleksi Penerimaan Beasiswa Prestasi Pada SMA Negeri 7 Bengkulu Selatan Ande Alfa Dela; Liza Yulianti; Indra Kanedi
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12426

Abstract

Scholarships are a form of recognition provided as financial assistance to individuals or organizations based on their achievements and performance. The provision of merit-based scholarships aims to enhance the quality of students' learning and academic performance. However, one of the main challenges in the scholarship selection process is conducting objective evaluations, as the assessment involves multiple criteria, including students' academic abilities and participation in school activities. To address this challenge, a Decision Support System (DSS) employing the Weighted Aggregated Sum Product Assessment (WASPAS) method was developed to assist decision-makers in the scholarship selection process. The WASPAS method minimizes assessment errors and optimizes the ranking process by accurately determining the highest- and lowest-scoring candidates. The system was implemented using the PHP programming language and a MySQL database, while the software development process followed the Waterfall methodology. The results of system testing indicate that the WASPAS-based Decision Support System effectively performs the ranking process and supports the selection of merit scholarship recipients accurately and efficiently.
Sistem Pendukung Keputusan Penerimaan Beasiswa Dengan Metode SAW (Simple Additive Weighting) Dan Electre (Elimination Et Choix Traduisant La Réalité) Pada Pondok Pesantren Darul Amal Candra Handika; Dewi Suranti; Prahasti Prahasti
Jurnal Media Infotama Vol 22 No 2 (2026): Oktober 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i2.12427

Abstract

Scholarship awards are one of the efforts to support academically outstanding students who face financial constraints. At Darul Amal Islamic Boarding School, the scholarship selection process is still conducted manually, making it susceptible to subjectivity, limited transparency, and relatively lengthy processing times. Therefore, a Decision Support System (DSS) is needed to facilitate the selection of scholarship recipients in an objective, efficient, and accurate manner. This study aims to design and develop a Decision Support System for scholarship selection by implementing the Simple Additive Weighting (SAW) and Elimination Et Choix Traduisant La Realité (ELECTRE) methods at Darul Amal Islamic Boarding School. The evaluation criteria include students' average academic report scores, number of parental dependents, and parents' income. The SAW method is employed to calculate preference values through normalization and weighting processes, while the ELECTRE method is used to select alternatives based on the concepts of concordance and discordance. The system was developed using the PHP programming language with a MySQL database and followed the System Development Life Cycle (SDLC) methodology. The results demonstrate that the developed system effectively supports the scholarship selection process by making it more efficient, transparent, and objective. Based on the SAW calculation results, a ranking of scholarship candidates was generated, providing recommendations to assist the boarding school in identifying the most eligible scholarship recipients. The implementation of the SAW and ELECTRE methods produces more objective decisions because the evaluation is based on predetermined criteria and weights. In conclusion, the developed system provides reliable decision support for the scholarship selection process, ensuring that scholarship awards are determined in a fair, accurate, transparent, and accountable manner.

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