RESEARCH & ACADEMIC CONTRIBUTIONS
A collection of academic publications and research contributions that reflect my journey in exploring Informatics, technology, and data-driven innovation.
This research analyzes TikTok content using Social Listening and Machine Learning to detect and predict micro-virality. Several machine learning algorithms were evaluated to identify patterns associated with viral content.
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In this research, we explore how machine learning can better understand tourist opinions from multiple languages. By using a Bidirectional LSTM approach, the model is able to capture deeper context in reviews—resulting in higher accuracy compared to traditional methods.
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This community service program focused on improving the performance of teachers at SMA Negeri 1 Banyumas through artificial intelligence training. The program involved preparation, implementation, and evaluation stages, with 31 teachers participating. The results showed a significant improvement in participants’ knowledge and skills, achieving a post-test score of 91% in AI-based learning media.
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This study investigates the detection of steganography in digital images through a combination of StegSolve and HxD analysis. Using bit-plane visualization and binary structure examination, the research identifies abnormal patterns and additional data that may indicate hidden payloads in modified JPEG files. The findings demonstrate that combining both tools can provide an effective preliminary approach for steganalysis and support digital forensic investigations of manipulated image files.
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