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All Journal Journal of Applied Science, Engineering, Technology, and Education Khazanah Pendidikan Islam International Journal of Islamic Khazanah
Dian Sa'adillah Maylawati
Department of Informatics, UIN Sunan Gunung Djati Bandung
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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In-depth Sentiment Analysis of The Independent Campus Program in Islamic Higher Education using Abstractive Summarization Dian Sa'adillah Maylawati; Muhammad Indra Nurardy Saputra; Umar Syahrifudin; Aldi Fahluzi Muharam
Khazanah Pendidikan Islam Vol. 6 No. 3 (2024): Khazanah Pendidikan Islam
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kpi.v6i3.44500

Abstract

The implementation of the Merdeka Belajar Kampus Merdeka (MBKM) policy in Islamic Higher Education (PTKI) represents a significant shift in Indonesia’s education system. This study evaluates the impact of MBKM on PTKI institutions using sentiment analysis and automatic text summarization. By analyzing 2,416 tweets (2020-2023) from PTKI academics, this study highlights perceptions, challenges, and policy implications. Results indicate that 82.76% of tweets expressed positive sentiment, emphasizing the benefits of MBKM in curriculum flexibility and industry collaboration. However, 17.24% of tweets highlighted challenges, including policy mismanagement, unclear implementation, and student stress. To enhance policy effectiveness, this study recommends stronger institutional support, clearer policy guidelines, and enhanced digital infrastructure to ensure MBKM benefits all PTKI students equitably.
Society's Perspectives on Contemporary Islamic Law in Indonesia through Social Media Analysis Technology: A Preliminary Study Dian Sa'adillah Maylawati; Siah Khosyi'ah; Achmad Kholiq
International Journal of Islamic Khazanah Vol. 12 No. 1 (2022): IJIK
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijik.v12i1.15865

Abstract

The social, cultural, and technological developments of society are unavoidable. This has an impact on the development of Islamic Law, which keeps all Muslim activities in the right corridor. Contemporary Islamic law, known as Contemporary Islamic Law, has also developed to answer new societal problems. Various views on Contemporary Islamic Law in solving multiple issues certainly reap various responses from the community and scholars. These views are often conveyed through social media such as Youtube, Instagram, Facebook, and Twitter. Therefore, this article aims to discuss a preliminary study of text analysis techniques used to find out the views of the community and Ulama on Contemporary Islamic Law issues computationally and automatically. This initial study reviews the methods and techniques that will be used, namely the Indonesian National Work Competency Standards (SKKNI) methodology for data science. This study will also use a sentiment analysis approach, topic modeling, and pattern analysis to find out people's views on issues of Contemporary Islamic Law through social media. The algorithm used for sentiment analysis is the Multinomial Naïve Bayes Classifier (MNBC), for topic modeling is Latent Dirichlet Allocation (LDA), while for pattern analysis using the Prefix-projected Sequential Pattern Mining (PrefixSpan) algorithm. The model generated from sentiment analysis, topic modeling, and pattern analysis will be evaluated by measuring the confusion matrix, coherence value, and silhouette coefficient value. In addition, analysis and interpretation of the model results will be carried out in-depth qualitatively by involving the views and thoughts of Islamic Law experts.
Data-Driven Insights of the Ecotheology Implementation at Islamic Schools in Indonesia using Machine Learning Dian Sa'adillah Maylawati; Cepy Slamet; Muhammad Khalifa Umana; Akhmad Ridlo Rifa'i; Rohmat Mulyana; Muhammad Ali Ramdhani; Syafi’i Syafi’i
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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Abstract

Ecotheology is an integration of religious values towards awareness of environmental preservation. Indonesia’s Ministry of Religious Affairs has identified ecotheology as a strategic program, including Islamic school students. Therefore, this study aims to reveal the understanding, implementation, challenges, and opportunities of ecotheology in Islamic schools. This research applies data science and machine learning algorithms to analyze a large student dataset, 22,933 data from 32 provinces, with a 41-question validated questionnaire (Cronbach’s Alpha = 0.765, Kappa = 0.791). This research uses K-Means and PCA for clustering to group students by ecotheology awareness and implementation, Association Rules with Apriori algorithm to identify knowledge sources, obstacles, and program linkages, classification using ensemble learning with CatBoost as the best model with 98.71% accuracy, and sentiment analysis using RoBERTa-based Indonesian model on open responses. This research found that students’ understanding of ecotheology is high, with most learning from teachers and others gaining knowledge from social media and books, while implementation remains moderate due to limited programs, policies, and subject integration. In accordance with student’s understanding, the sentiment analysis revealed neutral tones in suggestions but mostly positive expectations, with students desiring more practical, Quran-linked, and community-based activities.
Co-Authors Achmad Kholiq Akhmad Ridlo Rifa'i Aldi Fahluzi Muharam Cepy Slamet Muhammad Ali Ramdhani Muhammad Indra Nurardy Saputra Muhammad Khalifa Umana Rohmat Mulyana Siah Khosyi'ah Syafi’i Syafi’i Umar Syahrifudin