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All Journal Jurnal Pendidikan Karakter JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Sidik, Purnama
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Computer Science & IT Education

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Character Education and The Crisis of National Role Models Sidik, Purnama; Nurihsan, Juntika; Suresman, Edy
Jurnal Pendidikan Karakter Vol. 15 No. 2 (2024)
Publisher : Directorate of Research and Community Service, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpka.v15i2.73676

Abstract

Character education is an essential element in building a dignified and cultured nation. Amidst the crisis of role models encompassing the nation, the implementation of character education becomes increasingly urgent. This research investigates the implementation of character education and its relation to the crisis of role models in Indonesia. The research method used is qualitative with a literature study approach. Data is collected from various sources, such as scientific journals and related resources. This study aims to analyze the factors causing the crisis of role models, identify effective strategies for implementing character education, and formulate comprehensive solutions to address the crisis of role models in our nation, including: forming a national character role model movement, strengthening the role of families in character formation, enhancing the role of schools, and strengthening the role of society especially in not becoming permissive and being concerned with character education when students are not at home and not in school
Comparison of Random Forest and Support Vector Machine Methods in Sentiment Analysis of Student Satisfaction Questionnaire Comments at ITB STIKOM Bali Sidik, Purnama; I Made Gede Sunarya; I Gede Aris Gunadi
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9617

Abstract

ITB STIKOM Bali is one of the higher education institutions in Bali that focuses on academic activities, particularly in the field of Information Technology. To maintain its educational quality, the Quality Assurance Department collaborates with the Center for Information and Communication (Puskom) to distribute a student satisfaction questionnaire at the end of each semester. In evaluating student satisfaction with campus facilities, the comment section is one of the key indicators, featuring the question: “Based on your experience, please describe which AAK services you found disappointing and in need of improvement.” This study compares the performance of the Random Forest and Support Vector Machine (SVM) methods in conducting sentiment analysis on historical student satisfaction comments. The research involved several stages, including literature review, data collection, preprocessing, transformation, data mining, evaluation, and visualization. The results demonstrate strong accuracy, precision, recall, and F1-scores for both methods using an 80:20 data split. Before applying the SMOTE technique, the best result was achieved by the Support Vector Machine method with a score of 0.90, while the Random Forest method yielded an accuracy of 0.81, precision of 0.85, recall of 0.81, and F1-score of 0.76. After applying SMOTE, both methods achieved an improved and equal score of 0.90. The study also produced an excellent classification result based on the ROC curve. It is expected that this research can serve as an additional reference for the assessment of student satisfaction at ITB STIKOM Bali at the end of each academic semester.
Co-Authors I Gede Aris Gunadi I Made Gede Sunarya Nurihsan, Achmad Juntika Suresman, Edy