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All Journal Jurnal Pendidikan Islam International Journal of Research and Applied Technology (INJURATECH) MAHADAYA Jurnal Bahasa, Sastra, dan Budaya
Munawaroh, Silvi
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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The Function of Dramatic Persona in the Film “The Menu” (2022) Munawaroh, Silvi; Heriyati, Nungki
Mahadaya: Jurnal Bahasa, Sastra, Dan Budaya Vol 3 No 2 (2023): Oktober 2023
Publisher : Fakultas Ilmu Budaya, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/mhd.v3i2.11455

Abstract

This study aims to determine the portrayal of characters in the film The Menu 2022. In examining the characters in the film, The Menu, researcher conducted a characterization analysis which was classified into seven functions of dramatic characters through the theoretical framework of Vladimir Propp. This study is used because narratology theory can focus on the actions of a character who is limited in terms of meaning. Through this classification, researchers can find out the depiction of characters and the limits of their actions. The data collection method is carried out by qualitative methods and narrative analysis by collecting research results in the form of descriptions accompanied by screenshots. This study produced findings in the form of depictions of seven-character functions contained in the film "The Menu". The resulting conclusions, based on the data and analysis conducted in this research, reveal a deeper understanding of the narrative structure character’s function using dramatic persona analysis in the film "The Menu" and identify the roles and functions of the characters in the film. The result of this research, researcher found 7 dramatic persona function in the film. Such as, the villain, the donor, the helper, the dispatcher, princess/prize, the hero, and the false hero. Keywords: The Menu Movie, Vladimir Propp, Dramatic Persona, Narratology
A Review of Data Mining Techniques in the Development of Decision Support Systems Munawaroh, Silvi
International Journal of Research and Applied Technology (INJURATECH) Vol. 3 No. 2 (2023): International Journal of Research and Applied Technology (INJURATECH)
Publisher : Universitas Komputer Indonesia

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This study aims to examine the role and effectiveness of various data mining techniques in improving the performance of Decision Support Systems (DSS). Using a systematic literature review method, relevant academic papers and recent studies from the last decade were analyzed to identify common approaches, applications, and challenges. The findings show that classification, clustering, association rule mining, and anomaly detection are the most widely adopted data mining techniques in DSS development. Machine learning methods such as decision trees, neural networks, and support vector machines further contribute in improving prediction accuracy and decision quality. This discussion highlights that although data mining significantly strengthens the analytical capabilities of DSS, challenges such as data quality, model interpretability, and computational complexity remain important issues. Overall, this review underscores the importance of integrating advanced data mining approaches into DSS frameworks to support smarter, scalable and adaptable decision-making processes
DREAM: Design of Higher Education Curriculum Based on Spiritual Values Luckyardi, Senny; Maulana, Hanhan; Prakoso, Bagus Hary; Widaryanto, Benny; Albar, Chepi Nur; Munawaroh, Silvi; Karin, Juliana
Jurnal Pendidikan Islam ARTICLE IN PRESS
Publisher : The Faculty of Tarbiyah and Teacher Training associated with PSPII

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Abstract

This study aimed to develop an alternative curriculum design to meet the increasing demand for high-quality graduates in today’s dynamic economy. This research used a mixed-method approach for data collection and analysis to ensure comprehensive, reliable, and objective findings. The results highlighted a growing need to cultivate strong leadership traits, emphasizing the development of holistic and spiritual leadership that integrates ethics, decision-making, and practical actions. Individuals with prophetic leadership qualities were found to be highly dependable due to their strong sense of responsibility, spiritual grounding, and ability to make wise decisions based on available resources. In response, the DREAM curriculum was designed to nurture graduates with these attributes, equipping them to meet the evolving needs of modern industries. Graduates of the DREAM curriculum are expected to excel not only in hard and soft skills but also as inspirational leaders who motivate others. This research is projected to have several significant impacts, including bridging the skills gap, fostering leadership character development, enhancing graduate quality, equipping students with relevant technological knowledge and expertise, and promoting a curriculum rooted in Islamic spiritual values.
Explainable AI (XAI) for Fake News Detection: A Review of Interpretability in Deep Learning Models for Misinformation Classification Munawaroh, Silvi
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

This study provides a comprehensive review of Explainable AI (XAI) applications in fake news detection, addressing the critical "black-box" nature of deep learning models used for misinformation classification. We systematically analyze various interpretability techniques, categorized into ante-hoc and post-hoc methods, applied to neural architectures such as CNNs, RNNs, and Transformers. The study evaluates how these techniques extract linguistic, social context, and visual features to justify classification outcomes. The findings reveal that while attention mechanisms and gradient-based explanations improve transparency, there remains a significant trade-off between model complexity and explanatory clarity. The discussion highlights the challenges of "explanation consistency" and the susceptibility of interpretability tools to adversarial attacks. We conclude that integrating XAI is essential for fostering user trust and regulatory compliance. Future research should prioritize human-centric evaluations to ensure that AI-generated explanations are cognitively accessible to non-expert end-users.
Cross-Domain Sentiment Analysis using Transfer Learning: A Literature Review on Natural Language Model Adaptation from Social-Media to Macroeconomic Indicator Prediction Munawaroh, Silvi
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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This study reviews the efficacy of transfer learning in adapting sentiment analysis from social media domains to macroeconomic indicator prediction. The study evaluates existing literature on natural language model architectures, specifically Transformer-based models, performing domain adaptation from informal social media discourse to formal economic contexts. Findings indicate that pre-trained models significantly enhance predictive accuracy for data-scarce economic indicators by capturing real-time public perception. While effective in addressing labeled data sparsity, primary challenges involve linguistic noise and inherent demographic biases within social media datasets. Transfer learning serves as a critical bridge in transforming public sentiment into predictive economic signals. This cross-domain approach provides a dynamic, supplementary instrument for policymakers to monitor macroeconomic fluctuations through digital behavioral patterns.
Evaluating the Usability and Accessibility of Cloud-Based AI Translation Interfaces: A Systematic Review of Freelancer User Experience (UX) Munawaroh, Silvi
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

This study evaluates the usability and accessibility of cloud-based AI translation interfaces for freelance translators. Using a systematic literature review (SLR) approach, this research synthesizes academic publications and industry reports from the last decade to identify global UX trends in cloud-native CAT tools. Findings reveal that while cloud infrastructure democratizes access to high-level Neural Machine Translation (NMT), significant barriers remain, including high-latency issues in remote regions, steep learning curves for complex AI dashboards, and economic constraints of subscription models. The analysis suggests that current AI infrastructures often prioritize technical scalability over the ergonomic and cognitive needs of non-technical linguists, exacerbating the digital divide. The study concludes that a "Translator-Centered Design" framework is essential to ensure that AI-driven cloud architectures are inclusive and accessible, recommending that developers optimize low-bandwidth performance to support the global freelance community effectively
Co-Authors Albar, Chepi Nur Karin, Juliana Luckyardi, Senny Maulana, Hanhan Nungki Heriyati Prakoso, Bagus Hary Widaryanto, Benny