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Taqwa Hariguna
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Puri Mersi Baru, Jl.Martadireja II, Gang Sitihingil 3 Blok A No 2, Purwokerto Timur, Jawa Tengah
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INDONESIA
IJIIS: International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : -     EISSN : 25797069     DOI : https://doi.org/10.47738/ijiis
Core Subject : Science,
Computer Science & IT
The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); meanwhile we have set up a robust online platform and use an online submission system to ensure the international visibility and the rigid peer review process. The journal staff is committed to a quick turnaround time both in regards to peer-review and time to publication.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 8, No 3: September 2025" : 5 Documents clear
The Role of Media Literacy in Shaping Public Opinion and Political Participation in the Digital Era El Emary, Ibrahiem M. M.; Alhebbi, Mohammed Ahmed
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.271

Abstract

The rapid development of digital technology has transformed how people access, interpret, and respond to political information. This study explores the role of media literacy in shaping public opinion and political participation in the digital era. Using a descriptive qualitative approach, data were collected through in-depth interviews with ten respondents from diverse educational and social backgrounds. The findings reveal that individuals with higher media literacy demonstrate stronger critical thinking, higher awareness of information credibility, and greater involvement in political discourse and civic engagement. Conversely, those with lower media literacy are more susceptible to misinformation, hoaxes, and emotional manipulation, which can distort political perceptions and reduce participation. The study highlights that media literacy not only enhances citizens’ ability to filter and evaluate political content but also strengthens democratic quality by encouraging informed and responsible participation. It recommends that media literacy education be integrated into both formal and informal learning environments to foster critical, active, and digitally responsible citizens.
Empirical Analysis of Social Media Interaction Metrics and Their Impact on Startup Engagement Wahid, Arif Mu'amar; Maulita, Ika
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.272

Abstract

In the digital economy, social media serves as a crucial platform for startups to build relationships with audiences and strengthen brand presence. However, the specific effects of different types of user interactions—likes, comments, and shares—on startup engagement remain insufficiently quantified. This study provides an empirical analysis of how social media interaction metrics influence engagement using secondary data from the publicly available Social Media Engagement Metrics dataset on Kaggle. Employing a quantitative design, the study integrates descriptive statistics, Pearson correlation, Random Forest, and multiple linear regression to examine both linear and non-linear relationships. Results show that likes, comments, and shares collectively affect engagement rates, with Random Forest identifying likes as the most influential feature. However, regression results indicate that shares exert a statistically significant but negative effect on engagement, suggesting complex behavioral patterns behind user interactions. Visual analyses—including histograms, boxplots, and heatmaps—support data normality and highlight variation in post performance. The findings emphasize the importance of visually engaging content and interactive captions to enhance user engagement. This study contributes to digital marketing research by combining methodological rigor with actionable insights, offering data-driven recommendations for startups aiming to optimize their social media strategies.
Data-Driven SEO Strategy Optimization to Enhance MSME Sales Performance on Indonesian E-Commerce Platforms Sangsawang, Thosporn; Li, Shuang
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.262

Abstract

The rapid growth of digital commerce in Indonesia has created both opportunities and challenges for Micro, Small, and Medium Enterprises (MSMEs) seeking to increase their online visibility and sales. This study presents a data-driven approach to Search Engine Optimization (SEO) strategy optimization aimed at enhancing MSME sales performance on leading Indonesian e-commerce platforms, including Tokopedia and Shopee. Using a quantitative design, the research integrates Microsoft Excel for preliminary data exploration and Google Colab (Python) for advanced analysis and predictive modeling. The dataset, comprising over 1,000 transaction entries, includes key SEO-related indicators such as keyword rank, website traffic, backlinks, social media engagement score, advertising spend, and monthly sales. Ensemble regression models—Random Forest and Gradient Boosting—were employed to evaluate the predictive relationship between SEO factors and sales outcomes, validated through RMSE and R² metrics. The findings indicate that advertising expenditure (r = +0.83), backlinks (+0.29), and social media engagement (+0.25) are the most influential predictors of sales performance, while website traffic shows a weaker positive correlation (+0.13). These results highlight the critical role of integrated SEO and digital advertising strategies in improving MSME competitiveness. The study demonstrates that accessible analytical tools can empower MSMEs to make data-driven marketing decisions. Future research should expand model generalization across industries and explore additional digital variables to improve predictive accuracy.
Evaluating the Security of Electronic Medical Records in Indonesia’s SIMPUS Application Using the CIA Framework Durachman, Yusuf; Rahman, Abdul Wahab Abdul
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.263

Abstract

Ensuring the security of electronic medical records (EMRs) is a critical challenge in the digital transformation of healthcare systems, particularly in developing countries. This study evaluates the security of Indonesia’s Community Health Center Information System (SIMPUS) based on the principles of confidentiality, integrity, and availability (CIA). A qualitative descriptive approach was employed, combining interviews and direct observation of SIMPUS implementation across multiple user roles. The findings reveal that while confidentiality is supported through user authentication, vulnerabilities remain due to shared account usage and the absence of automatic log-off features. Data integrity is maintained through restricted editing rights, but the lack of an audit trail limits the system’s ability to detect unauthorized changes. Data availability is generally sufficient; however, reliance on manual backup processes exposes the system to potential data loss. The study highlights the need for enhanced audit mechanisms, automated backup solutions, and staff training to strengthen data security compliance with national regulations and international standards such as ISO 27001 and HIPAA. Strengthening these measures will help ensure that SIMPUS can function as a secure and reliable platform for managing electronic medical records in Indonesia’s primary healthcare system.
An Android-Based Multimodal AI Application for Contextual Environmental Learning in Children Hananto, Andhika Rafi; Rahardian, Muhammad Izha
International Journal of Informatics and Information Systems Vol 8, No 3: September 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i3.264

Abstract

Children’s limited engagement with nature in the digital era poses a growing challenge for environmental education. This study presents the development of an Android-based educational application that leverages multimodal artificial intelligence (AI)—specifically the Google Gemini model—to facilitate contextual environmental learning for preschool and elementary-aged children. Using a prototyping methodology, the application integrates image capture, cloud-based processing through a FastAPI backend, and a Flutter-based interface designed for young learners. The system allows children to photograph plants and receive real-time, age-appropriate explanations about plant names, characteristics, and ecological functions in a narrative format. A limited usability trial involving children of varying age groups demonstrated positive engagement and curiosity, indicating the app’s potential as an interactive and enjoyable learning medium. Despite occasional inaccuracies in AI-generated descriptions and reliance on internet connectivity, user feedback suggested strong interest and educational value. Future enhancements will focus on developing localized plant databases, improving accuracy, and incorporating gamification elements. Overall, this study contributes to the growing field of AI-driven educational technology, demonstrating how multimodal AI can effectively bridge digital learning with real-world environmental experiences.

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