Kanayagan

About the Journal

Kanayagan: Jurnal Pengabdian Masyarakat Bidang Seni, is a multidisciplinary scientific journal dedicated to the publication of community service activities. This journal serves as a platform for lecturers, practitioners, and students to disseminate conceptual ideas and the implementation of research-based activities that benefit the public.

Focus and Scope Jurnal Kanayagan covers various primary fields, including:

Arts and Design: Encompassing service based on music, dance, fine arts, creative design, and the actualization of local wisdom and culture.

Education: Focusing on the development of learning materials, teaching methodologies, and the enhancement of art and design literacy within the community.

Technology: Including the application of appropriate technology, technological engineering for the community, and the development of digital information systems for arts and design.

Kanayagan Journal is published twice a year in May and November. Every article submitted to the editorial team will be selected through a desk review process and evaluation of the initial manuscript by the Editorial Board, followed by a review process conducted by reviewers. Further details about the review policy and process are available in the submission guidelines

Announcements

Artificial Intelligence Policy

2026-10-21

Artificial Intelligence Policy: Guidelines for the Responsible Use of AI in Academic Publishing

The continuous advancement of generative Artificial Intelligence (AI) and AI-assisted tools is significantly reshaping the landscape of academic and community service publications. Kanayagan: Jurnal Pengabdian Masyarakat Bidang Seni acknowledges both the innovative potential and the ethical imperatives associated with these technologies.

This policy outlines strict guidelines to ensure transparency, uphold research integrity, and foster the responsible application of AI throughout the editorial and publication lifecycle. We remain committed to continuously monitoring and adapting these guidelines in alignment with evolving global standards in scholarly publishing.

Important Notes on AI Utilization

1. Defining Generative AI
Generative AI encompasses systems designed to autonomously generate content across various formats, including text, imagery, audio, and synthetic data. Common examples of these technologies include ChatGPT, Claude, Gemini, Perplexity, DALL·E 3, Suno, and Udio.

2. Disclosure Requirements
Standard non-generative tools utilized strictly for identifying or correcting basic grammar, spelling, and punctuation errors do not require formal disclosure. Conversely, generative tools employed to rewrite sentences, conceptualize new text, or translate manuscripts between languages must be explicitly declared by the authors, even if such tools are marketed merely as proofreading or writing aids.

Please refer to: Artificial Intelligence Policy

Current Issue

Vol. 1 No. 1 (2026): Jurnal Pengabdian Masyarakat Bidang Seni

View All Issues