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                <text>Empirical Analysis of Social Media Interaction Metrics and Their Impact&#13;
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                <text>In the digital economy, social media serves as a crucial platform for startups to build relationships with audiences and strengthen brand presence.&#13;
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quantified. This study provides an empirical analysis of how social media interaction metrics influence engagement using secondary data from&#13;
the publicly available Social Media Engagement Metrics dataset on Kaggle. Employing a quantitative design, the study integrates descriptive&#13;
statistics, Pearson correlation, Random Forest, and multiple linear regression to examine both linear and non-linear relationships. Results show&#13;
that likes, comments, and shares collectively affect engagement rates, with Random Forest identifying likes as the most influential feature.&#13;
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patterns behind user interactions. Visual analyses—including histograms, boxplots, and heatmaps—support data normality and highlight variation&#13;
in post performance. The findings emphasize the importance of visually engaging content and interactive captions to enhance user engagement.&#13;
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                <text>rif Mu’amar Wahid1,*, Ika Maulita2</text>
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                <text>The Role of Media Literacy in Shaping Public Opinion and Political&#13;
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                <text>The rapid development of digital technology has transformed how people access, interpret, and respond to political information. This study&#13;
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data were collected through in-depth interviews with ten respondents from diverse educational and social backgrounds. The findings reveal that&#13;
individuals with higher media literacy demonstrate stronger critical thinking, higher awareness of information credibility, and greater involvement&#13;
in political discourse and civic engagement. Conversely, those with lower media literacy are more susceptible to misinformation, hoaxes, and&#13;
emotional manipulation, which can distort political perceptions and reduce participation. The study highlights that media literacy not only&#13;
enhances citizens’ ability to filter and evaluate political content but also strengthens democratic quality by encouraging informed and responsible&#13;
participation. It recommends that media literacy education be integrated into both formal and informal learning environments to foster critical,&#13;
active, and digitally responsible citizens</text>
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                <text>Fajar bagus W</text>
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                <text>Children’s limited engagement with nature in the digital era poses a growing challenge for environmental education. This study presents the&#13;
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model—to facilitate contextual environmental learning for preschool and elementary-aged children. Using a prototyping methodology, the&#13;
application integrates image capture, cloud-based processing through a FastAPI backend, and a Flutter-based interface designed for young&#13;
learners. The system allows children to photograph plants and receive real-time, age-appropriate explanations about plant names, characteristics,&#13;
and ecological functions in a narrative format. A limited usability trial involving children of varying age groups demonstrated positive engagement&#13;
and curiosity, indicating the app’s potential as an interactive and enjoyable learning medium. Despite occasional inaccuracies in AI-generated&#13;
descriptions and reliance on internet connectivity, user feedback suggested strong interest and educational value. Future enhancements will focus&#13;
on developing localized plant databases, improving accuracy, and incorporating gamification elements. Overall, this study contributes to the&#13;
growing field of AI-driven educational technology, demonstrating how multimodal AI can effectively bridge digital learning with real-world&#13;
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                <text>Andhika Rafi Hananto1,*, Muhammad Izha Rahardian2</text>
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                <text>Universitas Kristen Satya Wacana, Salatiga, Indonesia</text>
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                <text>Ensuring the security of electronic medical records (EMRs) is a critical challenge in the digital transformation of healthcare systems, particularly&#13;
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principles of confidentiality, integrity, and availability (CIA). A qualitative descriptive approach was employed, combining interviews and direct&#13;
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authentication, vulnerabilities remain due to shared account usage and the absence of automatic log-off features. Data integrity is maintained&#13;
through restricted editing rights, but the lack of an audit trail limits the system’s ability to detect unauthorized changes. Data availability is&#13;
generally sufficient; however, reliance on manual backup processes exposes the system to potential data loss. The study highlights the need for&#13;
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international standards such as ISO 27001 and HIPAA. Strengthening these measures will help ensure that SIMPUS can function as a secure and&#13;
reliable platform for managing electronic medical records in Indonesia’s primary healthcare system</text>
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                <text>Yusuf Durachman1,*, Abdul Wahab Abdul Rahman2</text>
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                <text>Islamic University Jakarta, Indonesia</text>
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                  <text>VOL 8, NO 3&#13;
SEPTEMBER 2025</text>
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                <text>Data-Driven SEO Strategy Optimization to Enhance MSME Sales&#13;
Performance on Indonesian E-Commerce Platforms</text>
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                <text>Digital Marketing, Search Engine Optimization (SEO), Data Analytics, MSME, E-Commerce, Indonesia, Ensemble Regression, Random Forest,&#13;
Gradient Boosting</text>
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                <text>The rapid growth of digital commerce in Indonesia has created both opportunities and challenges for Micro, Small, and Medium Enterprises&#13;
(MSMEs) seeking to increase their online visibility and sales. This study presents a data-driven approach to Search Engine Optimization (SEO)&#13;
strategy optimization aimed at enhancing MSME sales performance on leading Indonesian e-commerce platforms, including Tokopedia and&#13;
Shopee. Using a quantitative design, the research integrates Microsoft Excel for preliminary data exploration and Google Colab (Python) for&#13;
advanced analysis and predictive modeling. The dataset, comprising over 1,000 transaction entries, includes key SEO-related indicators such as&#13;
keyword rank, website traffic, backlinks, social media engagement score, advertising spend, and monthly sales. Ensemble regression models—&#13;
Random Forest and Gradient Boosting—were employed to evaluate the predictive relationship between SEO factors and sales outcomes,&#13;
validated through RMSE and R² metrics. The findings indicate that advertising expenditure (r = +0.83), backlinks (+0.29), and social media&#13;
engagement (+0.25) are the most influential predictors of sales performance, while website traffic shows a weaker positive correlation (+0.13).&#13;
These results highlight the critical role of integrated SEO and digital advertising strategies in improving MSME competitiveness. The study&#13;
demonstrates that accessible analytical tools can empower MSMEs to make data-driven marketing decisions. Future research should expand&#13;
model generalization across industries and explore additional digital variables to improve predictive accuracy</text>
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                <text>Thosporn Sangsawang1,*, Shuang Li2&#13;
</text>
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                <text>https://ijiis.org/index.php/IJIIS/article/view/262/164</text>
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                <text>Rajamangala University of Technology Thanyaburi, Thailand</text>
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                <text>september 2025</text>
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