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Eko Sumartono
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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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Perancangan Sistem Dalam Pengolahan Data Buah Sawit Berbasis Website Dengan Metode Object- Oriented Analysis And Design (OOAD) Program Studi Teknik Informstika Ghepri Haikal; Pahrizal Pahrizal; Yuza Reswan; Ujang Juhardi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9395

Abstract

Palm oil plantations play a vital role in supporting the rural economy, including in Tanjung Harapan Village, Kaur Regency. The process of buying and selling palm fruit by middlemen (toke sawit) is still largely conducted manually—from recording buyer data and purchase transactions to generating daily and monthly reports. This manual system often leads to problems such as data inconsistency, document loss, delayed reporting, and miscalculation during transactions. Therefore, an information system is needed to assist in managing data digitally, efficiently, and accurately.This research aims to design and develop a web-based palm fruit data management information system using the Object-Oriented Analysis and Design (OOAD) approach. The OOAD method was chosen to simplify the process of system analysis and design through various diagrams, including Use Case Diagrams, Class Diagrams, and Sequence Diagrams. The system was developed using the PHP programming language, MySQL database, and the CodeIgniter 4 framework. Its main features include managing buyer (toke) data, recording purchase transactions, generating daily and monthly reports, and printing reports.The results of the study show that the developed system functions effectively in helping palm fruit buyers manage transaction data digitally. It reduces recording errors, speeds up reporting processes, and improves work efficiency. Additionally, the OOAD approach proves to be effective in producing a well-structured system design that can be easily maintained and expanded in the future.
Implementasi Freeradius Berbasis Web Untuk Otomatisasi Manajemen Layanan Internet: Autentikasi, Pembatasan Masa Aktif Dan Isolasi Pelanggan ISP Khairul Badri; Muhammad Yasin
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9439

Abstract

Sistem manajemen layanan internet yang efisien sangat penting bagi penyedia layanan internet (ISP), khususnya dalam aspek autentikasi pengguna, pengelolaan masa aktif layanan, dan isolasi pelanggan yang tidak aktif. Penelitian ini bertujuan untuk mengimplementasikan sistem FreeRADIUS berbasis web guna mengotomatisasi proses-proses tersebut. FreeRADIUS dipilih karena bersifat open source dan memiliki fleksibilitas tinggi untuk diintegrasikan dengan sistem manajemen pengguna. Metode penelitian yang digunakan adalah metode campuran (mixed method), dengan pendekatan kualitatif melalui observasi sistem eksisting dan pendekatan kuantitatif melalui pengujian teknis terhadap autentikasi, pembatasan masa aktif, serta mekanisme isolasi pelanggan. Implementasi dilakukan di lingkungan PT Indomedia Solusi Net sebagai studi kasus. Hasil implementasi menunjukkan bahwa sistem FreeRADIUS berbasis web mampu melakukan autentikasi pengguna secara otomatis, menghentikan akses saat masa aktif berakhir, serta mengarahkan pengguna yang terisolasi ke halaman informasi. Sistem ini juga memberikan kemudahan bagi administrator dalam memantau dan mengelola pengguna melalui antarmuka web.
Sistem Berbasis Website Untuk Koreksi Soal Esai Dengan Association Rules Teguh Arlovin; Bayu Pangestu
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9465

Abstract

This research aims to design and implement an automatic essay correction system based on a website by applying the Association Rules algorithm. The system is developed using PHP, MySQL, HTML, and CSS to provide an accessible and user-friendly platform. Data were collected from 30 high school students, while teachers acted as validators of the system’s assessment. The system was tested using black box testing and performance comparison between manual and automatic correction. The results show that the system achieved an accuracy rate of 86% compared to manual correction, with an efficiency improvement of 55% faster. These findings indicate that the developed system can reduce teachers’ workload, provide more consistent evaluations, and support the digital transformation of learning assessments. The research concludes that Association Rules can be effectively applied in the education domain, especially for essay-based evaluations.
Analisis Pengelompokan Komoditas Impor Indonesia dengan Teknik K-Means Clustering Nur Anisah; Harmayani Harmayani
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9602

Abstract

Pertumbuhan volume impor Indonesia setiap tahun menunjukkan pentingnya pemahaman terhadap pola-pola segmentasi impor guna mendukung strategi ekonomi yang lebih efisien. Namun, data impor yang besar dan bervariasi menyulitkan analisis manual. Penelitian ini bertujuan untuk menerapkan metode K-Means Clustering dalam segmentasi data impor Indonesia periode 2021–2023 berdasarkan beberapa variabel seperti negara asal, jenis barang, dan jumlah impor. Penelitian dilakukan menggunakan perangkat lunak RapidMiner untuk mengelompokkan data ke dalam beberapa klaster yang merepresentasikan pola impor tertentu. Hasil clustering menunjukkan pembagian impor Indonesia dalam tiga segmen utama, yang dapat memberikan wawasan bagi pemerintah maupun pelaku ekonomi untuk menyusun kebijakan dan strategi yang tepat dalam mengelola impor nasional.
Analisis Pengguna Terhadap Sistem Informasi Pelaporan Keuangan (SIPELUK) Pada Kantor Kecamatan Kelapa Gading Defira Patricia Defira Patricia; Gatot Hendra Kusuma Wardana; Jeremy Steven Due Stanis; Naifah Callysta Tirta Nirwana; Nurul Fikri Alaudah; Theodora Maria Putri Komul
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.v22i2.11612

Abstract

Sistem Informasi Pelaporan Keuangan (SIPELUK) pada Kantor Kecamatan Kelapa Gading. Penelitian ini dilatarbelakangi oleh pentingnya pemanfaatan teknologi informasi dalam mendukung transparansi, akuntabilitas, dan efisiensi pelaporan keuangan pada instansi pemerintahan. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan teknik pengumpulan data melalui kuesioner dan dokumentasi tampilan aplikasi. Sampel penelitian berjumlah lima responden yang dipilih menggunakan teknik purposive sampling berdasarkan keterlibatan langsung dalam penggunaan atau pengelolaan SIPELUK. Data dianalisis secara deskriptif dengan menghitung nilai rata-rata pada setiap indikator penilaian. Hasil penelitian menunjukkan bahwa SIPELUK memperoleh penilaian sangat baik dari pengguna, dengan rata-rata skor 5,00 pada aspek kemudahan akses, formulir input data, percepatan pelaporan, kelancaran teknis, keakuratan laporan, dukungan fitur, dan manfaat transparansi. Temuan ini menunjukkan bahwa SIPELUK mampu mendukung proses pelaporan keuangan secara lebih efektif, efisien, dan terstruktur. Meskipun pengguna tidak mengalami kendala teknis yang berarti, pengembangan sistem tetap diperlukan melalui penambahan fitur barcode, notifikasi, serta pembaruan tampilan aplikasi agar lebih optimal sesuai kebutuhan pengguna.
Sistem Informasi Pengarsipan Data Skripsi Di Fakultas Ilmu Sosial Universitas Dehasen Bengkulu Berbasis Web Rafid Ula Penta; Asnawati Asnawati; Achmad Fikri Sallaby
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.v22i2.11637

Abstract

Archiving is an important part of document management, especially in universities that produce theses every year as proof of students' academic abilities. The Faculty of Social Sciences at Dehasen University in Bengkulu still archives theses manually, which causes various problems such as difficulty in searching for data, the risk of losing documents, and inefficient archive management processes. Therefore, an archiving information system is needed that can store, manage, and display thesis data in a structured and easily accessible manner. This study aims to design and develop a web-based thesis data archiving information system at the Faculty of Social Sciences, Dehasen University Bengkulu. The methods used include data collection through observation and interviews, as well as system design stages using a structured development model. The result of this research is a web-based information system that can facilitate the process of archiving, searching, and managing thesis data, especially in the Communication Science Study Program. With this system, the archiving process becomes more effective and efficient compared to the manual management system that was previously used.
Klasifikasi Tingkat Kerapatan Tajuk Kelapa Sawit Menggunakan Metode Convolutional Neural Network (CNN) Berdasarkan Citra Drone. Muhammad Apriliansyah Rahmadhani; Maria A Kartawijaya
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.v22i2.11710

Abstract

Monitoring the canopy density of oil palm plantations is essential for assessing plant health, optimizing plantation management, and improving productivity. Conventional monitoring methods generally rely on field observations, which are time-consuming, labor-intensive, and often less efficient for large-scale plantations. The advancement of unmanned aerial vehicle (UAV) technology and deep learning offers an alternative solution for automated canopy analysis. This study aims to classify oil palm canopy density levels using the Convolutional Neural Network (CNN) method based on drone imagery. The dataset was acquired using drone flights over oil palm plantation areas and subsequently preprocessed through cropping, resizing, and data augmentation techniques. The canopy density was categorized into three classes: low, medium, and high. A CNN model was developed and trained to automatically extract image features and perform classification. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results indicate that the proposed CNN-based approach effectively classifies oil palm canopy density with high performance. The integration of drone imagery and deep learning provides a rapid, accurate, and efficient solution for supporting precision agriculture and sustainable plantation management.
Perancangan Aplikasi Steganografi Pada Citra Digital Menggunakan Algoritma Diversity Untuk Keamanan Pesan Aji Legawa; Sapri Sapri; Ockhy Jey Fhiter Wassalam
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.v22i2.11722

Abstract

The rapid advancement of digital technology and internet communication necessitates robust information security mechanisms that not only protect message content but also conceal the existence of the communication itself. Steganography provides an effective approach by embedding secret messages within digital media, particularly digital images. This study aims to design of Steganography Application in Digital Images Using the Diversity Algorithm for Message Security. The research adopts an applied research methodology with a system design and implementation approach. The Diversity algorithm is employed to exploit variations in pixel color values for embedding message bits, resulting in a more randomized embedding pattern that is resistant to detection and analysis. The experimental results demonstrate that the proposed system is capable of embedding and extracting text messages accurately without degrading the original image information. Furthermore, the steno-image maintains high visual quality, indicating good imperceptibility of the embedded data. In conclusion, the developed application proves to be an effective and reliable solution for secure message transmission using digital image-based steganography.
Pembuatan Alat Kontrol Suhu Pada Kandang Ayam Berbasis Internet of Things (IoT) Bima Kusuma Wardana; Toibah Umi Kalsum; Yessi Mardiana
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.v22i2.12097

Abstract

This study aims to design and build an Internet of Things (IoT)-based temperature control device for broiler chicken cages. The system was developed to help farmers monitor temperature and humidity in real time and control a heating device remotely through a smartphone. The hardware consists of an ESP8266 microcontroller, DHT11/DHT22 temperature and humidity sensor, relay module, 40-watt incandescent lamp as the heater, LCD 16x2 display, power supply, and supporting electronic components. The software was developed using Arduino IDE and integrated with the Blynk IoT platform for monitoring and manual control. The research method used was experimental design with black-box testing on sensor detection, data transmission, relay response, and Blynk application performance. The test results show that sensor data were received within 1.8-2.1 seconds, while commands from Blynk were received within 2.5-2.7 seconds. The relay response to the heater ranged from 1.5 to 1.9 seconds, and the Blynk display response ranged from 2.3 to 2.9 seconds. These results indicate that the proposed system works properly for real-time temperature monitoring and automatic/manual heating control in a small-scale broiler cage simulation.
Implemetasi Machine Learning Metode K-Nearest Neighbor Untuk Memprediksi Status Kelulusan Mahasiswa Program Studi Informatika Universitas Dehasen Bengkulu AL Kausar AH; Devi Sartika; Ockhy Jey Fhiter
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.v22i2.12098

Abstract

Student graduation rates are a key performance indicator that’s really crucial for the quality and reputation of a university. However, study delays and the risk of dropping out are still serious challenges for the Informatics Study Program at Dehasen University Bengkulu. This research focuses on tackling these issues by developing an early prediction system for student graduation status to help support more proactive academic decision-making. This research uses an Educational Data Mining (EDM) approach with the Knowledge Discovery in Databases (KDD) framework to process student academic datasets. It implements the K-Nearest Neighbor (KNN) algorithm. Based on the testing results with the hyperparameter K=5, the KNN model achieved an accuracy rate of 50%, which indicates that the decision boundary between students who pass and those who don't cannot be significantly separated by the numeric academic variables currently used. This finding suggests that further development is needed by adding latent variables or sociological data, as well as more specific feature selection techniques to better capture student behavior patterns and improve the model's performance in the future.

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