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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Indonesian Journal of Data and Science Journal of Digital Law and Policy
Ni Putu Diah Pradnya Savitri
Institut Bisnis dan Teknologi Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Mathematics

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Classification of Gamelan Selonding Music Using Convolutional Neural Network Ni Putu Diah Pradnya Savitri; Anak Agung Gde Bagus Ariana; Ni Kadek Nita Noviani Pande; I Made Dwi Putra Asana; I Gusti Agung Indrawan
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.358

Abstract

Introduction: Balinese Selonding gamelan is an endangered sacred repertoire, and automatic recognition of its musical pieces can support documentation and preservation. Method: This study investigates the automatic classification of Selonding gamelan music using a Convolutional Neural Network (CNN). The dataset consists of 10 traditional Selonding compositions. Recordings were segmented into fixed 15-second excerpts, converted to WAV, normalized, and transformed into time–frequency features using two approaches: Mel-Frequency Cepstral Coefficients (MFCC) and Constant-Q Transform (CQT). A CNN-based classifier was trained and evaluated using 5-fold cross-validation for each feature representation. Results: The MFCC-based model achieved stable high performance, with mean accuracy of 94.67% (±2.11%), mean precision of 94.97% (±1.90%), mean recall of 94.67% (±2.11%), and mean F1-score of 94.63% (±2.12%) across folds. In contrast, the CQT-based model performed notably worse, reaching only 58.04% mean accuracy and 53.28% mean F1-score, with large variance across folds. These results indicate that MFCC features capture the discriminative timbral characteristics of Selonding more effectively than CQT under the current experimental setting. Conclusion: Overall, the findings show that a CNN trained on MFCC features can reliably distinguish Selonding compositions using only short (15-second) audio segments, despite limited data. This suggests that deep learning is a feasible strategy for indexing, retrieval, and long-term preservation of Balinese gamelan repertoires.
The Role of Information Technology Professionals in Maintaining Integrity and Moral Responsibility in Modern Digital Work Environments Ni Putu diah Pradnya Savitri; Ni Putu Miskha Putri Karendya; Ni Putu Maylia Mustikasari; Ni Putu Mitha Pebriana Mulya; Paskalis Fanjaya Datul; Ocalia Yasinta Dimut
Journal of Digital Law and Policy Vol. 5 No. 3 (2026): Journal of Digital Law and Policy
Publisher : Sidyanusa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/5hnjhg46

Abstract

This study aims to examine the role of Information Technology (IT) professionals in maintaining integrity and moral responsibility within modern digital work environments characterized by rapid technological advancement and increasing ethical complexity. The research employs a qualitative approach by combining a systematic literature review and conceptual analysis of scholarly publications, professional codes of ethics, and relevant regulatory documents at both international and Indonesian levels. The findings reveal that IT professionals play a strategic role in ensuring data privacy protection, cybersecurity risk management, prevention of algorithmic bias, and the development of ethical software and digital governance practices. Furthermore, the study highlights the importance of continuous ethics training, strong organizational policies, interdisciplinary collaboration, and transparent reporting mechanisms in supporting ethical decision-making among IT practitioners. Integrating global ethical standards with local cultural values, particularly the principles of Pancasila, is found to strengthen moral responsibility and professional integrity in the Indonesian digital context. This study implies that ethical governance in IT not only enhances organizational trust and regulatory compliance but also contributes to the sustainability and accountability of digital work environments. The findings offer practical insights for organizations, policymakers, and educators in strengthening ethical frameworks and promoting responsible digital practices.
Co-Authors Anak Agung Gde Bagus Ariana Asana, I Made Dwi Putra I Gusti Agung Indrawan Ni Kadek Nita Noviani Pande Ni Putu Maylia Mustikasari Ni Putu Miskha Putri Karendya Ni Putu Mitha Pebriana Mulya Ocalia Yasinta Dimut Paskalis Fanjaya Datul