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All Journal Al Hanin Jurnal Ekonomi dan Kewirausahaan West Science West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) The Eastasouth Journal of Social Science and Humanities Journal of Computer Science Advancements
Usup, Usup
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Journal of Computer Science Advancements

 1 
Analysis of the Impact of Social Media as a Learning Tool in Language Subjects Usup, Usup; Purwaningsih, Dewi Ismu
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1324

Abstract

Integrating digital platforms in education has seen a notable shift in incorporating social media to enhance learning experiences. In language education, social media platforms offer interactive, engaging environments that can improve language acquisition and proficiency. This study aims to analyze the effectiveness of social media as a learning tool in language subjects, focusing on its impact on student engagement and language proficiency. A mixed-method approach was utilized, combining quantitative surveys and qualitative interviews with 200 high school students who used social media for language learning. The quantitative data were analyzed using statistical techniques to measure engagement and proficiency, while thematic analysis was applied to the qualitative data to explore student perceptions and experiences. The findings indicate that students using social media for language learning reported higher levels of engagement and demonstrated significant improvement in language proficiency compared to those using traditional methods. The interactive and collaborative nature of social media was found to facilitate more practical language use, which is critical for learning. Social media can significantly enhance student engagement and language proficiency when effectively integrated into language learning curricula. Educators are encouraged to explore and utilize social media platforms to create more dynamic and responsive language learning environments.
Sentiment Analysis on Social Media Using Data Mining for Mapping Community Satisfaction Usup, Usup; Sahirin, Rohmat; Lucas, Laura; Qingjun, Chu
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1536

Abstract

Social media has become a significant platform for individuals to express opinions, including satisfaction and dissatisfaction with services and policies, making it a valuable source of community sentiment data. Understanding public sentiment can assist policymakers and organizations in responding to community needs effectively. This study aims to conduct sentiment analysis on social media using data mining techniques to map community satisfaction levels. By analyzing sentiment patterns, this research seeks to provide actionable insights for improving public services and enhancing community engagement. The research applies data mining methodologies, including text mining and machine learning algorithms, to analyze posts and comments collected from various social media platforms. Sentiment classification was performed using natural language processing (NLP) and a supervised machine learning approach to categorize sentiments as positive, neutral, or negative. The model was trained on a large dataset and validated to ensure accuracy in sentiment detection. Results indicate that social media sentiment analysis can reliably reflect community satisfaction trends, with findings showing 70% positive, 15% neutral, and 15% negative sentiments regarding local services. The study concludes that data mining for sentiment analysis provides a robust method for assessing community satisfaction on social media, offering a real-time understanding of public opinion. By implementing this approach, organizations and policymakers can identify areas of improvement and proactively address community concerns, ultimately fostering a responsive and community-centered approach to public service.  
Co-Authors Ahmad Nur Budi Utama Chalid, Nurbani Frans Sudirjo Harti, Umi Judijanto, Loso Lesmana, Tera Lucas, Laura Nanang Qosim Pahrijal, Rival Purwaningsih, Dewi Ismu Qingjun, Chu Rukmana, Arief Yanto Sahirin, Rohmat Soelistianto, Farida Arinie Sudarsono , Sudarsono Titik Haryanti