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Integrasi Strategis untuk Keunggulan Akademik: Memanfaatkan COBIT dan PMBOK dalam Praktik Audit dan Manajemen Proyek Moch Yasin; Prasasti Karunia Farista Ananto; Bramasta Kurnia Aji; Ilham; Mohammad Khusnu Milad; Suryani DA
Jurnal Penelitian Pendidikan IPA Vol 10 No 4 (2024): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i4.6887

Abstract

This research aims to explore the strategic integration of the COBIT (Control Objectives for Information and Associated Technologies) and PMBOK (Project Management Body of Knowledge) frameworks in optimizing audit and project management practices in the academic world. This research draws on practice-based case studies as well as existing literature to highlight the benefits and strategies for implementing the strategic integration of COBIT and PMBOK in the academic world. Aligning governance with project management principles, an institution such as higher education can enhance their efforts to achieve academic excellence. COBIT and PMBOK integration strengthens audit practices by ensuring regulatory compliance, practical risk assessment, and robust controls. It also promotes a structured approach to project management, improved planning, resource allocation, risk mitigation, and communication. Collaboration between the audit and project management teams is facilitated through this integration, enabling effective communication, coordination and knowledge sharing. Colleges can then position themselves strategically to achieve academic excellence, aligning their operations with strategic goals and driving efficiency, transparency and accountability. Based on this discussion, it can be concluded that integrating the COBIT and PMBOK frameworks can advance the efforts of an institution, namely higher education, to achieve academic excellence and strengthen leadership in the field of education.
NLP-driven hate speech detection on TikTok: a case study from UIN Sunan Ampel Surabaya Achmad Teguh Wibowo; Aris Fanani; Mujib Ridwan; Bramasta Kurnia Aji
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27419

Abstract

This study examines hate speech detection in TikTok comments using natural language processing (NLP) techniques within the student community of UIN Sunan Ampel Surabaya. A dataset of 10,000 comments associated with the hashtag #PBAKUINSA2023 was analyzed using a lexicon-based sentiment analysis approach implemented through the TextBlob library, combined with Indonesian text preprocessing techniques, including tokenization, normalization, stopword removal, and stemming using the Sastrawi library. The results indicate that the proposed approach achieved an accuracy of 0.85, with precision of 0.88, recall of 0.83, and an F1-score of 0.854. Most comments were classified as neutral, while 31.8% were positive, and only a small proportion were negative. These findings suggest that discussions related to campus activities tend to be neutral or supportive. However, the findings also reveal that sentiment polarity does not always directly correspond to hate speech, as certain harmful expressions may appear neutral in lexicon-based analysis. This limitation highlights the need for more context-aware approaches. Overall, the proposed method provides an efficient solution for monitoring online discourse in academic environments.