Radio Broadcasting with Artificial Intelligence: A Case Study on Radio Mustang Jakarta

Harliantara, Harliantara; Sompie, Denny Jan; Sutika, I Made

doi:10.15575/cjik.v8i1.34403

Jurnal

Radio Broadcasting with Artificial Intelligence: A Case Study on Radio Mustang Jakarta

Communicatus: Jurnal Ilmu komunikasi · Vol. 8 No. 1 (2024) · hlm. 121–138

DOI: 10.15575/cjik.v8i1.34403
ISSN: 2549-8452
Terbit: 2024-06-30
Penerbit: Fakultas Dakwah dan Komunikasi UIN Sunan Gunung Djati Bandung Sunan Gunung Djati Bandung
Bahasa: eng

Abstrak

This research analyses how the use of Artificial Intelligence (AI) in radio broadcasting by Radio Mustang Jakarta can change the landscape of the broadcasting industry. Through qualitative research, this case study examined radio broadcasting technology development and AI-based innovation in radio programmes. Data was collected through interviews, documentation, and literature studies with triangulation in the data processing. The results revealed that radio is strongly committed to keeping up with advances in information and communication technology. AI in the broadcasting industry can improve the quality and efficiency of broadcasts. In addition, AI technology can revolutionise the broadcasting industry by introducing an AI broadcaster named Aimee through an innovative production process.

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Universitas Pembangunan Nasional Veteran Jakarta
Universitas Dr. Soetomo
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Rekan penulis	Organisasi	Artikel bersama
Nur'annafi Farni Syammaella	Afiliasi tidak diketahui	1
Farida Farida	Universitas Dr. Soetomo	1
Witanti Prihatiningsih	Universitas Pembangunan Nasional Veteran Jakarta	1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/cjik/oai, pertama di-harvest 7 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">Radio Broadcasting with Artificial Intelligence:  A Case Study on Radio Mustang Jakarta</dc:title>
	<dc:creator>Harliantara, Harliantara</dc:creator>
	<dc:creator>Sompie, Denny Jan</dc:creator>
	<dc:creator>Sutika, I Made</dc:creator>
	<dc:subject xml:lang="en-US">Radio Broadcasting</dc:subject>
	<dc:subject xml:lang="en-US">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en-US">Technology Innovation</dc:subject>
	<dc:subject xml:lang="en-US">Radio Industry</dc:subject>
	<dc:description xml:lang="en-US">This research analyses how the use of Artificial Intelligence (AI) in radio broadcasting by Radio Mustang Jakarta can change the landscape of the broadcasting industry. Through qualitative research, this case study examined radio broadcasting technology development and AI-based innovation in radio programmes. Data was collected through interviews, documentation, and literature studies with triangulation in the data processing. The results revealed that radio is strongly committed to keeping up with advances in information and communication technology. AI  in the broadcasting industry can improve the quality and efficiency of broadcasts. In addition, AI technology can revolutionise the broadcasting industry by introducing an AI broadcaster named Aimee through an innovative production process.</dc:description>
	<dc:publisher xml:lang="en-US">Fakultas Dakwah dan Komunikasi UIN Sunan Gunung Djati Bandung Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2024-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/cjik/article/view/34403</dc:identifier>
	<dc:identifier>10.15575/cjik.v8i1.34403</dc:identifier>
	<dc:source xml:lang="en-US">Communicatus: Jurnal Ilmu komunikasi; Vol. 8 No. 1. June (2024): Communicatus: Jurnal Ilmu Komunikasi; 121 - 138</dc:source>
	<dc:source>2549-8452</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/cjik/article/view/34403/11839</dc:relation>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/cjik/article/view/34403/13432</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 harliantara harliantara</dc:rights>
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