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All Journal Rekam : Jurnal, Fotografi, Televisi Animasi E-Dimas: Jurnal Pengabdian kepada Masyarakat Capture : Jurnal Seni Media Rekam Jurnal Ilmiah Multimedia & Komunikasi PARAHITA : Jurnal Pengabdian kepada Masyarakat Sense : Journal of Film and Television Studies eScience Humanity Journal Offscreen: film and television journal
Oktora, Dina Dwika
Sekolah Tinggi Multi Media Yogyakarta
Arts Humanities Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : escience humanity journal

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PEMANFAATAN TEKNOLOGI ARTIFICIAL INTELLIGENCE(AI) DALAM PROSES PRODUKSI PROGRAM SIARAN NON BERITA DI LEMBAGA PENYIARAN PUBLIK (LPP) TVRI ( STUDI KASUS TVRI YOGYAKARTA) Murbaningsih, Ari Mintarti; Oktora, Dina Dwika; Hastuti, Sri
eScience Humanity Journal Vol 5 No 2 (2025): eSience Humanity vol 5.2. May 2025
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i2.251

Abstract

This study discusses the use of Artificial Intelligence (AI) technology in the production process of non-news broadcast programs at the Public Broadcasting Institution (LPP) TVRI Yogyakarta. Using qualitative methods, this study emphasizes descriptive analysis based on in-depth observations of the implementation of AI in broadcast production. The results of the study indicate that the application of AI contributes to increased efficiency and creativity, especially in scriptwriting and music creation. AI allows the production team to create more original content and reduce the risk of copyright infringement. Despite providing significant benefits, the implementation of AI is still limited due to resource constraints, data input accuracy, and lack of technical training. Driving factors such as central policies and ease of production also support the adoption of this technology. Overall, AI has positive prospects at TVRI Yogyakarta, but requires further development to be optimal in broadcast production.
Model Implementasi Artificial Intelligence Dalam Produksi Media Pada Lembaga Publik: Studi Komparatif TVRI Yogyakarta dan Dinas Komunikasi Informatika dan Persandian Kota Yogyakarta Dina Dwika Oktora; Diana Khuntari; Dhety Chusumastuti
eScience Humanity Journal Vol 6 No 2 (2026): eSience Humanity Vol.6 No.2 Mei 2026
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v6i2.418

Abstract

This study aims to analyze and compare the implementation of Artificial Intelligence (AI) in media production processes within public institutions, namely TVRI Yogyakarta and the Department of Communication, Informatics, and Encryption of Yogyakarta City. The research employed a qualitative approach using a comparative case study design. Data were obtained from previous studies conducted at both institutions through interviews, observations, and documentation. The findings reveal that AI has been utilized in various stages of media production, including scriptwriting, content ideation, music generation, audiovisual editing, media monitoring, and digital public services. TVRI Yogyakarta primarily uses AI to support script development, music creation, and visual enhancement for non-news programs. Meanwhile, Diskominfo Yogyakarta applies AI more broadly in content production, issue monitoring, content management, editing, and chatbot-based public services. Both institutions experience similar benefits, including improved efficiency, accelerated production processes, and increased innovation opportunities. However, challenges remain, such as limited human resource competencies, concerns regarding data accuracy, ethical considerations, and the absence of comprehensive governance frameworks. The comparative analysis indicates that AI adoption in both institutions remains at the augmentation stage, where AI serves as a supporting tool rather than replacing human creativity and decision-making. This study contributes to the understanding of AI-driven digital transformation in public media institutions and proposes a conceptual model for AI-assisted media production in the public sector.
Co-Authors Ade Wahyudin, Ade Alfira Berliani Amalia Ardian Setyo Utomo Arum Marwati Bayangkara, Deila Shofi Cresentia, Oriza David Kristiadi Dhety Chusumastuti Diyah Ayu Karunianingsih Fadlilah, Mohammad Fikri Gestia Bannisa Harista, Bekti Hanif Khuntari, Diana M. Yogi Riyantama Isjoni Murbaningsih, Ari Mintarti Pratama, Gustiani Ariani Robby Yudistira Sulistyawati, Renjani Eka