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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Sentiment Analysis of Telegram App Reviews on Google Play Store Using the Support Vector Machine (SVM) Algorithm Nevrada, Nofsa Atia; Syaputra, Muhammad Adie
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8851

Abstract

This study aims to analyze the sentiment of Telegram application reviews on the Google Play Store using the Support Vector Machine (SVM) algorithm. From a total of 14,700,000 initial reviews, a sampling technique was carried out to obtain 400 review data, which then went through the pre-processing stage to produce 345 review data to be classified. The SVM model used showed good performance with an accuracy of 81.16%, precision in the positive class reached 93%, recall in the negative class of 94%, and an average f1-score of around 81%. However, there was a discrepancy between the high rating and the content of the review, which highlighted the existence of high-rated reviews that contained criticism or vice versa. The confusion matrix analysis also showed some misclassification, where reviews should be categorized as positive sentiment but detected as negative, and vice versa. This research is expected to provide valuable feedback for Telegram application developers to improve the quality of service, although the results of this analysis have not been fully discussed in practice. The limitation of this study is that it only tested reviews that used Indonesian, which limited the scope of the findings to the context of local users.
Energy Efficiency and Time Management through IoT-Based Automated Electrical Control System and Digital Prayer Schedule Integration Syaputra, Muhammad Adie; Sutomo, Budi; Saprudin, Usep; Putra, Muhammad Aqida
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8848

Abstract

This study aims to develop an Internet of Things (IoT)-based automated electrical control system integrated with a digital prayer schedule to enhance energy efficiency and time management in mosques. Using IoT devices, electronic equipment such as air conditioners, lights, and loudspeakers can be automatically controlled according to prayer times, reducing energy waste and minimizing fire risks due to negligence in operating electrical devices. The study employs a prototyping method, where a system prototype is tested to evaluate its performance and effectiveness. A machine-to-machine bridge communication model is implemented to integrate the digital prayer schedule with mosque electrical devices. The research results are expected to provide an environmentally friendly technological solution while improving mosque operational efficiency. However, technical challenges, such as integrating the system with older electrical infrastructure, limited internet connectivity, and user readiness to operate new technology, must be addressed. Thus, this study contributes not only to energy efficiency but also to improving mosque management quality through digital technology.
The Role of Marketplaces in Assisting MSME Growth Using the Systematic Literature Review Method Sari, Rizqi Kurnia; Syaputra, Muhammad Adie
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.8981

Abstract

Digital technology provides significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to grow and innovate, contributing to national economic growth. This study aims to analyze the role, impact, and supporting factors of marketplaces in fostering MSME development in Indonesia. Using the Systematic Literature Review (SLR) method, 103 journals were identified through Publish or Perish via Crossref for the 2019–2024 period. These journals were then filtered down to 40 journals selected for descriptive analysis. The 2019–2024 timeframe was chosen as it reflects a significant surge in marketplace adoption during the COVID-19 pandemic.The findings reveal that marketplaces significantly enhance MSMEs by increasing market reach by up to 40%, improving operational efficiency through a 30% reduction in order processing time, and building customer trust through reviews and ratings. The study also highlights the importance of supporting factors such as adequate digital infrastructure, digital literacy, and support from the government and platform providers. However, challenges such as limited internet access, low digital literacy, high commission fees, and intense competition with larger brands hinder the optimal use of marketplaces by MSMEs.This study recommends several practical solutions, including strengthening digital infrastructure, subsidizing internet costs, providing digital literacy training, and offering special promotion programs for small MSMEs. Although this study relies on secondary data, the findings provide relevant insights for policymakers, platform providers, and MSME actors. Further studies using primary data are needed to enhance the generalizability of these findings.