cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
KARONA CAHYA SUSENA
Contact Email
karona.cs@unived.ac.id
Phone
+6281541234500
Journal Mail Official
karona.cs@unived.ac.id
Editorial Address
Jl. Meranti Raya No. 32, Sawah Lebar, Kota Bengkulu
Location
Kota bengkulu,
Bengkulu
INDONESIA
Jurnal Media Computer Science
Published by Universitas Dehasen Bengkulu
ISSN : -     EISSN : 28280490     DOI : https://doi.org/10.37676/jmcs
Core Subject : Science,
Computer Science & IT
Jurnal Media Computer Science merupakan jurnal nasional yang diterbitkan oleh Universitas Dehasen Bengkulu sejak tahun 2022. Jurnal Media Computer Science memuat artikel hasil-hasil penelitian di bidang Komputer, Sistem Informasi dan Teknologi. Jurnal Media Computer Science berkomitmen untuk menjadi jurnal nasional terbaik dengan mempublikasikan artikel berbahasa Indonesia yang berkualitas dan menjadi rujukan utama para peneliti.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 230 Documents
 13   14   15   16   17 
Development Of An Artificial Intelligence-Based Essay Exam Assessment System Andika Fajar Putra; Sukirman Sukirman
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.11179

Abstract

This study aims to develop an Artificial Intelligence (AI)-based digital platform for automatic essay assessment of students at MTsN Filial Kartasura. The background of this research is the problem of traditional manual essay grading, which is time-consuming, less efficient, and potentially subjective. The research method used is Research and Development (R&D) with a 4D development model consisting of Define, Design, Develop, and Disseminate stages. The system was developed using PHP, HTML, CSS, and MySQL programming languages, and integrated with AI to analyze and assess student essays based on teacher-defined criteria. The results show that the AESAI system is capable of automatically scoring essays based on keyword relevance and answer quality, while also providing instant feedback. The Blackbox testing results indicate that all system features function properly. The material expert validation resulted in a score of 92.24%, categorized as very feasible, while the media expert evaluation obtained 93.21%, also categorized as very feasible. Furthermore, user testing involving 32 teachers produced an average score of 89.72%, categorized as very good. These results indicate that the developed system is well accepted by users. Therefore, the AESAI platform is proven to be feasible as an innovative solution for essay assessment. The system not only improves teachers’ efficiency in grading but also provides more objective, consistent, and transparent evaluation in digital learning environments.
Sentiment Analysis and Characteristics of Youtube User Opinions Toward Samsung and Iphone Brands Using TF-IDF With Naive Bayes and KNN Comparison and Mcnemar Test Naurah Atikah Nurpadhilah; Surya Ade Saputera
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.11311

Abstract

The development of social media, particularly YouTube, has generated a large amount of public opinion data that can be utilized to understand user perceptions of products. Samsung and iPhone are two smartphone brands with intense market competition and are frequently discussed in YouTube comment sections. This study aims to compare the performance of the Naive Bayes and K-Nearest Neighbor (KNN) algorithms in sentiment analysis of YouTube comments related to these two brands. The research data were collected through a YouTube comment scraping process using the youtube-comment-downloader library. The research stages included data collection, text pre-processing consisting of case folding, punctuation removal, number removal, stopword removal, and stemming using the Sastrawi library. Furthermore, the text data were transformed into numerical representations using the Term Frequency-Inverse Document Frequency (TF-IDF) method. The classification process was carried out using the Naive Bayes and KNN algorithms and evaluated using accuracy, classification reports, confusion matrices, and the McNemar test to determine the significance of performance differences between the models. In addition, this study also analyzed word distribution based on sentiment and brand using WordCloud visualization. The results indicate that both algorithms are capable of classifying comment sentiments effectively and provide insights into user opinion characteristics toward Samsung and iPhone based on YouTube comments.
Classification Of Papaya Leaf Diseases Using The Convolutional Neural Network Method With The Mobilenetv3 Architecture Komang Bagus Sadewa Netra; Putu Indah Ciptayani; Luh Gede Putri Suardani
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11352

Abstract

This study aims to develop a classification system for papaya leaf diseases based on digital image processing using the Convolutional Neural Network (CNN) method with the MobileNetV3 architecture. The background of this research is the manual process of identifying papaya leaf diseases by farmers, which is often inefficient and prone to misdiagnosis. The research method adopts a software engineering approach using the Agile development model, allowing iterative and flexible system development. The dataset consists of papaya leaf images categorized into three classes: curl, ringspot, and healthy, obtained from field observations and secondary datasets. The data were processed through preprocessing stages before being used to train the CNN model. The results indicate that the best model was achieved using a learning rate of 0.001 and 30 epochs, with a validation accuracy of 95.56% and a testing accuracy of 88.89%. The model demonstrates high confidence in classifying images, particularly for the curl and healthy classes. However, the confusion matrix reveals that the model's performance on the ringspot class remains relatively low due to a high misclassification rate. Overall, the developed system is capable of automatically identifying papaya leaf diseases and has strong potential for implementation as an Android-based application to support early detection and decision-making in plant care.
Evaluasi Tingkat Kematangan Tata Kelola Ti Di Pos Kediri Menggunakan Cobit 5 Ahmad Muharram Alfarisi; Rini Indriati; Dwi Harini
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11518

Abstract

Kediri Post Office, as a public organization that provides vital communication and financial services to the community, requires well-developed and effective information technology (IT) infrastructure and management. However, no comprehensive evaluation of the maturity level of IT governance has previously been conducted to identify the current condition and potential areas for improvement. This study aims to evaluate the maturity level of IT governance at Kediri Post Office using the COBIT 5 framework across three main domains (APO, DSS, and MEA), with a focus on identifying gaps and providing recommendations for process improvement. The research employed a qualitative approach, with data collected through in-depth interviews, field observations, and document analysis to validate the implementation of IT processes within the organization. The evaluation results indicate that the overall IT governance maturity level at Kediri Post Office is at Level 2 (Repeatable Process), with an average score of 2.33 on a scale of 0–5. Two processes have achieved Level 3 (Established Process), namely APO03 (Manage Enterprise Architecture) and DSS02 (Manage Service Requests and Incidents), while the remaining seven processes are still at Level 2. Gap analysis revealed an average gap of 0.89 levels compared to the target maturity level of 3.33. The primary issues identified include incomplete formal documentation, inconsistent process formalization across organizational units, and monitoring and evaluation mechanisms that are not yet systematic, particularly within the MEA (Monitor, Evaluate, and Assess) domain.
Design Of A Clothing Sewing Service System At Bucik Rendo Tailor User Prototype Method Bima Herbudi; Marissa Utami; Guntur Alam; Surya Ade Saputera
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11536

Abstract

This study aims to design a clothing sewing service information system at Bucik Rendo Tailor using the prototype method. The problem that occurs in this sewing service business is the data management process that is still done manually, such as recording customer data, orders, payment transactions, and business reports. This condition causes frequent recording errors, difficulties in data retrieval, and slow service to customers. To overcome these problems, this study uses the prototype method because it can help developers understand user needs more clearly through a gradual evaluation and improvement process. Data collection was carried out through observation, interviews, literature studies, and documentation studies. The results of the study are in the form of a system design that includes a Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), database design, and user interface design. The designed system has features for managing customer data, products, orders, transactions, work status, and reports. With this system design, it is expected to help improve the effectiveness of clothing sewing service business management, facilitate service to customers, and serve as a reference in the development of a web-based sewing service information system in the next implementation stage.
Data Mining, Decision Tree, C4.5, Community Satisfaction Index Doan Sefriyansyah; Sapri Sapri; Desi Mahdalena; Devi Sartika
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11541

Abstract

This study aims to apply a data mining method based on the C4.5 Decision Tree algorithm to classify the Public Satisfaction Index (PSI) regarding services at the Central Aceh District Attorney’s Office. Until now, the data from the CSI questionnaires collected has not been optimally utilized because it has only been processed using average calculations, thus failing to provide in-depth information regarding patterns of public satisfaction. The C4.5 Decision Tree method was used because it is capable of producing a classification model that is easy to understand and can identify the service attributes that most influence the level of public satisfaction. The data used in this study were derived from questionnaire results based on seven criteria: service procedures, service information, processing time, staff competence, technological facilities, complaint handling, and integrity. The results indicate that the C4.5 algorithm can be effectively applied to classify levels of public satisfaction and generate decision trees that serve as a basis for evaluation and decision-making.
" DITARIK" Prediksi Harga Kos di Wilayah Jimbaran Menggunakan Algoritma Decision Tree Regression Berbasis Web I Putu Krishna Paradipta; Putu Manik Prihatini; Ni Nyoman Harini Puspita
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11579

Abstract

Jimbaran District is one of the strategic areas in Badung Regency, Bali, experiencing rapid growth in the education, tourism, and economic sectors. This condition has increased the demand for temporary housing, especially boarding houses for students and migrant workers. The large number of boarding house options with various facilities and rental prices often makes it difficult for prospective tenants to choose accommodations that match their needs and financial capabilities. This study aims to develop a web-based boarding house price prediction application using the Decision Tree Regression algorithm to assist users in estimating boarding house prices based on the desired facilities. The research applies a quantitative approach using machine learning and data mining methods. The dataset consists of boarding house data in the Jimbaran area, including room size, bathroom type, room facilities, public facilities, distance to campus, and monthly rental price. The research stages include data preprocessing, feature transformation, dataset splitting using the Train-Test Split method, model training, and model evaluation using MAE, RMSE, and R² metrics. The results show that the Decision Tree Regression algorithm achieved good performance with an R² value of 0.8332, an MAE value of IDR 225,462, and an RMSE value of IDR 302,509.
Usability Evaluation And User Acceptance Testing (Uat) On Website-Based Digital Psychology Testing Application: A Case Study Of Psikotestyuk.Id Adi Putra Dwi Nugraha; Wawan Laksito Yuly Saptomo
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11666

Abstract

Digital transformation in the recruitment process through digital psychological testing applications such as psikotestyuk.id aims to increase the efficiency and objectivity of candidate selection. However, the effectiveness of this system is highly dependent on the ease of use and functional acceptance by end users, both prospective employees and HR. This study aims to evaluate the level of usability and user acceptance of the psikotestyuk.id application to identify operational obstacles and areas for system architecture improvement. The method used is Mixed Methods, integrating quantitative data from Usability Testing on 30 prospective employee respondents, and qualitative data from User Acceptance Testing (UAT) with in-depth interviews with three HR staff. The results showed an average usability score in the "Very Good" category with a value range of 4.21 to 4.40. Although functionally the system was very well received, UAT testing revealed the need for server infrastructure optimization to handle high traffic and the addition of a bulk data import feature to improve the efficiency of mass recruitment administration. In conclusion, the psikotestyuk.id application is very suitable for continued use with several development notes on the data scalability side.
Design of Inventory System at Putri Gemilang Crackers Factory Using End-User Development Method Dela Nabila Apriyani; Surya Ade Saputera
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11677

Abstract

This study aims to design a web-based inventory information system at Pabrik Kerupuk Putri Gemilang using the End-User Development (EUD) method. The problems found in the inventory management process were that it was still carried out manually using notebooks, causing recording errors, delays in report preparation, and discrepancies between stock records and physical stock in the warehouse. The research method used was a qualitative method with data collection techniques through observation and interviews. The End-User Development approach was applied because it involves users directly in the process of system requirement analysis and system design, so the resulting system is more suitable for operational needs. The results of the study indicate that the web-based inventory system is able to assist the management of item data, incoming goods, outgoing goods, and inventory reports more effectively and efficiently. The system is also able to display real-time stock information and generate automatic reports to support monitoring and decision-making processes. In addition, the system was designed with a simple and user-friendly interface to make it easier for users to operate the system. The implementation of this web-based inventory information system is expected to improve the effectiveness, accuracy, and integration of inventory management at Pabrik Kerupuk Putri Gemilang.
Payment System Service Quality Analysis Qris Uses The Servqual Method at The Café Trilogi Pemi Afely Athin; Surya Ade Saputra
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11793

Abstract

The development of digital payment systems has encouraged culinary business actors to adopt the Quick Response Code Indonesian Standard (QRIS) as an alternative to faster, practical, and more efficient transactions. However, the success of QRIS implementation is not only determined by its level of use, but also by the quality of service perceived by customers. This study aims to analyze the service quality of the QRIS payment system at Cafe Trilogi based on the gap between customer perception and expectations using the Service Quality (SERVQUAL) method. The study used a descriptive quantitative approach involving 100 respondents selected through purposive sampling techniques, namely Cafe Trilogi customers who had made transactions using QRIS. Data was collected through the distribution of questionnaires that had met the validity and reliability tests, then analyzed using SERVQUAL Gap Analysis on five dimensions of service quality, namely tangible, reliability, responsiveness, assurance, and empathy. The results showed that the quality of QRIS services at Cafe Trilogi obtained a positive gap value of +1.42, indicating that the services provided have met customer expectations. The assurance dimension had the highest gap value (+0.72), while the reliability dimension showed a negative gap (-0.01), indicating room for improvement in service consistency and network stability.

Page 15 of 23 | Total Record : 230

 13   14   15   16   17 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol 5 No 3 (2026): Juli Vol 5 No 2 (2026): April Vol 5 No 1 (2026): Januari Vol 4 No 2 (2025): Juli Vol 4 No 1 (2025): Januari Vol 3 No 2 (2024): Juli Vol 3 No 1 (2024): Januari Vol 2 No 2 (2023): Juli Vol 2 No 1 (2023): Januari Vol 1 No 2 (2022): Juli Vol 1 No 1 (2022): Januari More Issue