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JINAV: Journal of Information and Visualization
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27461440     DOI : https://doi.org/10.35877/jinav
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics
JINAV: Journal of Information and Visualization is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of information science and technology, data, knowledge, communication, and their visualization. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the JINAV follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 13 Documents
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Search results for , issue "Vol. 6 No. 1 (2025)" : 13 Documents clear
Application of Cluster Analysis of Self Organizing Map (SOM) Method in the Community Literacy Development Index in Indonesia Sanra Ariani; Muhammad Nusrang; Muhammad Kasim Aidid
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci1571

Abstract

Self Organizing Map (SOM) is a method with a form of unsupervised learning, with Artificial Neural Network (ANN) training techniques that use a winner takes all basis, where only the neuron that is the winner will be updated. This study applies the cluster analysis of the SOM method in grouping provinces in Indonesia based on the characteristics of the Community Literacy Development Index (IPLM). The selection of the best cluster is based on internal validation i.e. connectivity, index Dunn and Silhouette. Based on the cluster validation results, 3 clusters were obtained that group provinces based on IPLM characteristics. of the 7 (seven) elements that make up the IPLM, 2 of them, namely energy and community visits, are shown in cluster 1. 5 other elements such as libraries, collections, SNP libraries, community involvement and library members are shown in cluster 3. Meanwhile, cluster 2 does not show significant IPLM-forming elements.
Fuzzy Geographically Weighted Clustering Analysis of Poverty Indicators in South Sulawesi, Indonesia Annisa, Nurawalia; Aidid, Muhammad Kasim; Meliyana, Sitti Masyitah
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav3949

Abstract

Cluster analysis is a method used to group data into several clusters, where the data within a single cluster exhibit high similarity, while the data between clusters show low similarity. This study aims to classify the regencies and cities in South Sulawesi based on poverty indicators using the Fuzzy Geographically Weighted Clustering (FGWC) method. FGWC is an integration of the classical fuzzy clustering approach with geo-demographic components, incorporating geographical aspects into the analysis. As a result, the clusters formed are sensitive to environmental effects, which influence the values of cluster centers. In this study, the optimal number of clusters was determined using the IFV (Index of Fuzzy Validity) validity index, which indicated an optimal solution of three clusters. Cluster 1 consists of 9 regencies/cities characterized by a high level of poverty. Cluster 2 comprises 7 regencies/cities with a moderate level of poverty. Cluster 3 includes 8 regencies/cities with a low level of poverty.
Enhancing Computational Learning through Visual Programming Media: An Empirical Study of Academic Achievement Sidiq, Muhammad Robby; Napitupulu, Efendi; Farihah, Farihah
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4019

Abstract

The integration of computational thinking into formal education curricula has become essential as information and communication technology continues to transform educational paradigms. This study addresses a significant challenge in computer science education, where 58% of junior high school students fail to achieve minimum learning standards in programming subjects. Objective this study to develop and evaluate the feasibility and effectiveness of visual programming learning media using Scratch 3.0 to enhance academic achievement in computer science education among seventh-grade students. This research employed a research and development approach using a 4-D model (Define, Design, Develop, Dissemination) conducted at Dr. Wahidin Sudirohusodo Junior High School over two months. The study involved comprehensive validation by three expert validators and implementation across three phases: a small group (n=5), a medium group (n=15), and field testing (n=30). The data collected included expert validation questionnaires, pre- and posttest assessments, and perception surveys, which were analyzed via descriptive statistics and t tests. Expert validation demonstrated high feasibility, with material validation scoring of 87%, media validation scoring of 83.5%, and instructional design validation scoring of 84.5%, all of which were categorized as "Very Good." The effectiveness evaluation revealed an overall effectiveness of 92.73% in the "very good" category. Statistical analysis revealed significant differences between the experimental and control groups (t-stat = 5.06, p < 0.001), with the experimental group achieving a mean score of 77.00 compared with 70.60 for the control group. Scratch 3.0-based visual programming learning media is feasible and effective for enhancing computer science learning outcomes, demonstrating superior performance compared with conventional teaching methods in junior high school education.
Classification of Stunting Status Using the Naive Bayes Classifier Algorithm with Backward Elimination Feature Selection Pasaribu, Hafni Maya Sari; Abdullah, Dahlan; Rosnita, Lidya
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4100

Abstract

Stunting is one of the major health issues affecting toddlers that can influence their physical growth and developmental progress, ultimately impacting their quality of life. It is characterized by a child’s height being below the standard for their age. To address this issue, a method is needed to classify the stunting status in toddlers. This study aims to classify stunting status in toddlers using the Naive Bayes Classifier algorithm, with feature selection performed using the Backward Elimination method to improve classification accuracy.The dataset used in this research was collected in 2023 from the Lueng Daneun Public Health Center, located in Peusangan Simblah Krueng Subdistrict, Bireun District. The dataset includes several features such as age, gender, family income, height, weight, sanitation, clean water access, and formula milk consumption. The application of the backward elimination feature selection method is intended to identify the most significant and relevant features for the target variable. The Naive Bayes Classifier was implemented using the Python programming language. The analysis results indicated that the remaining feature, namely the sanitation condition, had a significant contribution to the classification process. The dataset consisted of 244 entries, divided into 195 training data and 49 testing data with an 80:20 ratio. The initial classification results showed an accuracy of 77.55%, a precision of 60.00%, a recall of 64.29%, and an F1-score of 62.07%. After feature selection, the accuracy increased to 81.63%, precision to 63.16%, recall to 85.71%, and the F1-score slightly improved to 72.73%. These results indicate that feature selection in the Naive Bayes model demonstrates good performance.
Detecting Hoax News with Web-Based SVM Classifier: A Machine Learning Approach to Combat Misinformation Using Support Vector Machine (SVM) Algorithm Auliana, Sigit; Kalsum, Ummy; Mudofar, Mudofar
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4161

Abstract

The massive spread of hoax news in the digital era has caused various negative impacts, ranging from public misinformation to social unrest. This condition highlights the need for a technological solution capable of automatically and accurately detecting the truthfulness of information. This study aims to develop a web-based application for hoax news detection using the Support Vector Machine (SVM) algorithm. The method involves text preprocessing, feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF), and classification with SVM. The system is designed with a simple and responsive web interface, allowing users to input news content and receive prediction results easily. Testing was conducted using both white-box and black-box methods to ensure that the system's logic functioned as expected. The results show that the system successfully classifies news into two categories—valid and hoax—with good accuracy. This application is expected to serve as a useful tool for the public in identifying the authenticity of news and preventing the spread of false information across digital platforms.
DigiField: Real-Time Smart Farming Monitoring System Using React.js and Express.js for Agricultural Digitalization Rakhim, Basuki; Auliana, Sigit; Octavian, Rizqi Kevin
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4160

Abstract

The agricultural sector remains a cornerstone of Indonesia’s economy, yet it faces persistent challenges such as climate change, land degradation, and limited adoption of digital technology among smallholder farmers. One critical issue is the lack of real-time monitoring systems accessible to farmers for tracking essential environmental parameters such as soil moisture and temperature. Traditional manual methods are still widely used, leading to inefficiencies and suboptimal decision-making. This study proposes the development of DigiField, a smart farming monitoring system designed to bridge the technological gap in rural agriculture by leveraging modern web technologies. The system is developed using the React.js framework for the frontend, enabling a dynamic, responsive, and mobile-friendly user interface, and Express.js for the backend to facilitate real-time data processing from sensor devices. The research adopts a technology-based development approach, involving needs analysis from field observations and interviews with local farmers. The DigiField prototype is designed to monitor soil moisture and temperature using sensor data that is transmitted and visualized in real-time through a web interface. The system aims to support data-driven agricultural decision-making and enhance productivity through accessible, low-cost technology. Preliminary testing and user feedback indicate that DigiField is effective in addressing local agricultural monitoring needs, with a user interface that is intuitive for farmers and a backend infrastructure that supports real-time updates. This study contributes to both academic discourse in the field of agricultural informatics and practical efforts to promote digital transformation in Indonesia’s agricultural sector.
Digitalization of the Sales System at Kios Mie Ayam Kangkung Subur, Cilegon City Using the Laravel Framework Ardana, Ardan; Mansyuri, Umar; Hamdan, Hamdan
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4181

Abstract

The rapid advancement of information and communication technology (ICT) has brought significant changes to various business sectors, including micro, small, and medium enterprises (MSMEs). However, many MSMEs still rely on manual systems that are prone to errors, inefficiencies, and difficulties in recording and analyzing transactions. This research aims to develop a digital sales information system for Kios Mie Ayam Kangkung Subur in Cilegon City using the Laravel framework. The system was designed using a Research and Development (R&D) approach and developed with the Laravel PHP framework and MySQL database, following the Model-View-Controller (MVC) architecture. Data collection methods included observation, interviews, and documentation study. The development process involved system requirement analysis, interface and database design, implementation, testing, and documentation. The final product is a web-based application that supports key functions such as login and authentication, menu management, transaction processing, receipt printing, and sales reporting. Black-box testing was conducted to evaluate the system’s functionality, and results showed that all modules performed according to expectations. The system proved to be user-friendly, efficient, and capable of improving transaction accuracy and operational speed. In conclusion, the developed digital sales system successfully meets the needs of Kios Mie Ayam Kangkung Subur and contributes to enhancing the kiosk’s business processes through automation. The system also lays the groundwork for future technology adoption, such as online ordering or mobile access. This study demonstrates that Laravel is an effective solution for MSMEs looking to transition into the digital era and streamline their business operations.
Information System Audit of FIF Mobile Collection at PT Federal International Finance POS Baros Using the COBIT 5 Framework Permana, Basuki Rakhim Setya; Aryono, Gagah Dwiki Putra; Aliffito, Sadam Nazar
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4182

Abstract

This study aims to evaluate the governance and performance of the FIF Mobile Collection information system implemented at PT Federal International Finance POS Baros using the COBIT 5 framework. As mobile-based applications become critical tools in financial operations—particularly in billing and collection activities—ensuring their security, efficiency, and alignment with organizational goals is imperative. The COBIT 5 framework was adopted to assess the maturity and capability of IT processes, with a specific focus on the DSS05 process: Manage Security Services. Data was collected through observation, interviews, and documentation analysis, and evaluated using the COBIT 5 Process Assessment Model (PAM). The results of the audit show that the DSS05 process achieved Capability Level 3, meaning the process is well-defined and implemented but not yet fully measurable or optimized. The assessment revealed that Levels 1 and 2 were fully achieved, while Level 3 was largely achieved (60–66.66%), indicating the need for performance monitoring and continual improvement mechanisms. Several gaps were identified in the areas of risk management, incident response, and user training, which present potential threats to data security and system reliability. The findings also indicate partial alignment of the system with key enterprise goals such as customer service excellence, operational agility, and information-based decision-making. However, the lack of real-time monitoring, formalized response procedures, and predictive controls hinders the organization from achieving higher governance maturity. Recommendations include implementing automated security tools, conducting regular IT risk assessments, and enhancing user awareness programs. This study concludes that while the FIF Mobile Collection system delivers operational benefits, improvements in governance maturity—guided by COBIT 5—are essential to ensuring secure, efficient, and strategically aligned system performance in the long term.
Designing a Food Ordering Application System at Esthetic Cafe Using the Laravel Framework Arifin, Ilham; Hayadi, B. Herawan; Pratama, Gelard Untirtha
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4183

Abstract

The rapid advancement of information technology has significantly influenced the culinary business sector, particularly in enhancing service efficiency and customer experience. Esthetic Cafe, as a small-to-medium-sized enterprise, faces challenges in streamlining its food ordering process, which has traditionally been conducted manually. This research aims to design and develop a web-based food ordering application system using the Laravel framework to improve operational workflow, minimize order errors, and enhance customer satisfaction. The study adopts the Research and Development (R&D) methodology and implements the Waterfall model to guide the software development life cycle. The stages include requirements analysis, system design, implementation using Laravel, system testing with black box methods, and real-world deployment. The Laravel framework was chosen due to its MVC architecture, scalability, security features, and strong community support. The system provides core functionalities such as user registration and login, menu browsing, cart management, order placement, table selection, simulated payment processing, and transaction history tracking. For administrators, the system includes modules for product and category management, order confirmation, and transaction monitoring. The user interface was designed to be intuitive and responsive, focusing on user convenience and accessibility. Testing results from twelve black box scenarios demonstrated that all system features operated as expected, with successful interactions and accurate system responses. No major errors were identified, confirming the reliability and functionality of the application. In conclusion, the implementation of this food ordering system significantly improves service quality and operational efficiency at Esthetic Cafe. The system also provides a digital solution that supports the business's transition into the digital era. This study shows that web-based applications developed with Laravel can effectively meet the technological needs of small culinary businesses and support sustainable digital transformation.
Development of a Construct 2-Based Educational Game for Flag Recognition Through Word Puzzles in Indonesian Primary Schools Gunawan, Syahrul; Munawir, Ahmad; Amaldi, Wahyu
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4190

Abstract

This study aims to develop an interactive educational game titled Flag Letter Puzzle using Construct 2, intended to enhance the learning experience of third-grade students at SDN Patra Manggala 2, Tangerang Regency. The game introduces students to country flags through an engaging word puzzle format that supports both cognitive development and national awareness. The research employed the Research and Development (R&D) approach using the ADDIE model, consisting of five stages: Analysis, Design, Development, Implementation, and Evaluation. During the analysis stage, observations and interviews were conducted to identify student needs and the relevance of educational media in the classroom. The design phase involved creating the storyboard, interface, and gameplay structure tailored for young learners. The game was developed using Construct 2, enabling integration of visuals, sound, and interactivity. Implementation involved a trial run with 20 students, and the final evaluation was conducted using Black Box Testing and user feedback. The results showed that all game features functioned properly according to expectations. Students responded positively, displaying high levels of engagement and enjoyment during the learning activities. The intuitive interface and interactive gameplay facilitated independent learning, improved memory retention, and promoted curiosity. The game also aligns well with the 2013 Indonesian curriculum (Kurikulum 2013), particularly in Social Studies and Civics, which emphasize knowledge of national symbols and neighboring countries. This research concludes that the Flag Letter Puzzle game is both technically feasible and pedagogically effective. It provides a valuable alternative to conventional learning methods by integrating game-based learning into the classroom. The application not only serves as a tool for reinforcing knowledge of country flags but also fosters active learning and digital literacy among elementary school students. The game is recommended for use in similar educational settings to support curriculum delivery and improve learning outcomes through interactive media.

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