Penerapan Kecerdasan Buatan (AI) dalam Produksi Konten Penyiaran: Peluang dan Tantangan

Intan Tamara Madhini, Nurliya Ni’matul Rohmah, Yusron Saudi, Ishanan Ishanan, Endang Rahmawati, Fathurrijal Fathurrijal

Abstract


Abstract: This study aims to identify and evaluate the opportunities and challenges in the application of Artificial Intelligence (AI) in broadcast content production through a Systematic Literature Review (SLR) methodology. The literature sources were selected from the Google Scholar and Scispace indices, covering publications from the past 10 years. The findings reveal that AI has significant potential to enhance content production efficiency, relevance, and media competitiveness. AI technologies, such as predictive analytics and deep learning, have proven effective in identifying topics of interest to audiences and improving video quality while reducing production time. However, challenges related to implementation costs, the scarcity of skilled professionals, and ethical and copyright issues remain significant barriers. This study provides critical insights for developing more effective and ethical AI implementation strategies in the broadcasting industry and highlights the need for further research to optimize AI utilization in this context.

Abstrak: Penelitian ini bertujuan untuk mengidentifikasi dan mengevaluasi peluang serta tantangan dalam penerapan Kecerdasan Buatan (AI) dalam produksi konten penyiaran melalui metode Systematic Literature Review (SLR). Sumber literatur berasal dari pengindeks Google Scholar dan Scispace, dengan rentang terbitan 10 tahun terakhir. Hasil penelitian menunjukkan bahwa AI memiliki potensi besar untuk meningkatkan efisiensi produksi konten, relevansi, dan daya saing media. Teknologi AI, seperti analitik prediktif dan deep learning, telah terbukti efektif dalam mengidentifikasi topik yang diminati audiens serta meningkatkan kualitas video dengan mengurangi waktu produksi. Namun, tantangan terkait biaya implementasi, keterbatasan tenaga ahli, serta masalah etika dan hak cipta masih menjadi hambatan signifikan yang perlu diatasi. Penelitian ini memberikan wawasan penting bagi pengembangan strategi implementasi AI yang lebih efektif dan etis dalam industri penyiaran, serta menggaris bawahi kebutuhan akan penelitian lebih lanjut untuk mengoptimalkan penggunaan AI dalam konteks ini.


Keywords


Artificial Intelligence, Broadcasting, Content Production, Machine Learning.

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