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All Journal LOGIK@ Kubik JURNAL ISTEK InPrime: Indonesian Journal Of Pure And Applied Mathematics KUBIK: Jurnal Publikasi Ilmiah Matematika International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Mathematics, Statistics, and Computing International Journal of Humanities, Law, and Politics International Journal of Health, Medicine, and Sports International Journal of Linguistics, Communication, and Broadcasting
Rini Cahyandari
UIN Sunan Gunung Djati Bandung
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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The Influence of Media Conglomerates in the Context of Migration from Analog to Digital Broadcasting: Analysis from a Media Political Economy Perspective and Its Impact on Society Prabowo, Agung; Cahyandari, Rini; Abdul Halim, Nurfadhlina
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 1 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i1.87

Abstract

This research discusses the role of media conglomerates in the context of migration policies from analog to digital broadcasts. Media conglomerates often have great influence in the media industry, and migration policies such as these can affect the way information is delivered and accessed by the public. This research analyzes the tendency of media conglomerates to report information that suits their interests, their impact on society, and how they respond to digital migration policies. The political economy of communication theory, especially the concepts of commodification, spatialization, and structuration, is used to explain these dynamics. Some media conglomerates reject the migration policy, considering it a threat to their dominance in the media industry. However, migration policies also open up opportunities for new entrants in the broadcasting industry. In conclusion, it is important to understand how the dynamics of the political economy of the media influence media policies that affect society.
Strategies for Anticipating Speech Production Errors in the Public Speaking Context: Psycholinguistic Analysis and Improving Public Speaking Ability Cahyandari, Rini; vimelia, willen; salih, yasir
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 1 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i1.92

Abstract

This research explores and analyzes various aspects related to public speaking and speech production errors in real life contexts. Through a literature review, this research explains the types of speech production errors, their causes, and strategies to anticipate these errors. This research also links speech production errors with public speaking, highlighting the importance of psycholinguistic understanding in this regard. The research results show that anticipating speech production errors is the key to improving public speaking skills. Anticipation strategies include preparing the topic well, maintaining composure, focusing, and using familiar vocabulary. Speech production errors can disrupt the flow of a presentation, so a deep understanding of these aspects is very important in public speaking.
Peramalan Menggunakan Metode MS-AR, MS-Regression dan MS-VAR pada Model Perubahan Struktur Martina, Annisa; Jajuli, Marsa Aufa; Cahyandari, Rini
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.31371

Abstract

Aktivitas ekspor dan impor memiliki peranan penting pada perdagangan internasional yang dapat meningkatkan pembangunan ekonomi di dalam negeri. Ekspor di Indonesia terdiri dari dua sektor yaitu migas dan non migas. Adanya perubahan regime dalam data migas menyebabkan volume ekspor cenderung fluktuatif dan memiliki perubahan struktur. Model perubahan struktur dapat diselesaikan dengan menggunakan metode Markov Switching (MS) yang terdiri dari MS Autoregressive, MS Regression dan MS Vector Autoregressive. Pada penelitian ini menggunakan data bulanan volume ekspor migas Indonesia selama 5 tahun (2018 sd 2022). Hasil penelitian menunjukkan bahwa terjadi perubahan struktur pada waktu ke-12 (Desember 2018) dengan 2 regime. Setelah dilakukan pemodelan dan uji diagnostik, didapatkan model terbaik untuk volume ekspor migas Indonesia adalah MS(2) menggunakan metode MS Regression dengan nilai MAPE 12.49% dan nilai peluang perpindahan regime 94%, yang menyatakan bahwa ekspor migas yang dilakukan oleh negara Indonesia memberikan dampak yang cukup baik untuk perekonomian Indonesia, terutama dalam hal perdagangan internasional.
Peramalan Menggunakan Metode MS-AR, MS-Regression dan MS-VAR pada Model Perubahan Struktur Martina, Annisa; Jajuli, Marsa Aufa; Cahyandari, Rini
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.31371

Abstract

Aktivitas ekspor dan impor memiliki peranan penting pada perdagangan internasional yang dapat meningkatkan pembangunan ekonomi di dalam negeri. Ekspor di Indonesia terdiri dari dua sektor yaitu migas dan non migas. Adanya perubahan regime dalam data migas menyebabkan volume ekspor cenderung fluktuatif dan memiliki perubahan struktur. Model perubahan struktur dapat diselesaikan dengan menggunakan metode Markov Switching (MS) yang terdiri dari MS Autoregressive, MS Regression dan MS Vector Autoregressive. Pada penelitian ini menggunakan data bulanan volume ekspor migas Indonesia selama 5 tahun (2018 sd 2022). Hasil penelitian menunjukkan bahwa terjadi perubahan struktur pada waktu ke-12 (Desember 2018) dengan 2 regime. Setelah dilakukan pemodelan dan uji diagnostik, didapatkan model terbaik untuk volume ekspor migas Indonesia adalah MS(2) menggunakan metode MS Regression dengan nilai MAPE 12.49% dan nilai peluang perpindahan regime 94%, yang menyatakan bahwa ekspor migas yang dilakukan oleh negara Indonesia memberikan dampak yang cukup baik untuk perekonomian Indonesia, terutama dalam hal perdagangan internasional.
Co-Authors Abdul Halim, Nurfadhlina Agung Prabowo Agus Jamaludin Agus Tinus Setianto Andrian Ibrahim, Riza Annisa Ulfiyah Arief Fatchul Huda Arif F. Huda, Arif F. Asep Solih Asep Solih Awalluddin, Asep Solih Dara Selvi Mariani Delia Fatharani Durrah HASANAH, FARIDATUL Herlin Dewi Karlina, Herlin Dewi Hidayana, Rizki Apriva Hidayat, Fauziah Noor Ibrahim, Riza Andrian Jajuli, Marsa Aufa kalfin Kalfin Kamelia, Susan Lianingsih, Nestia Martina, Annisa Masitoh Majid, Masitoh Nurnisaa Binti Abdullah Suhaimi Puspa Liza Ghazali Rahmawati, Weni Rima Erviana Rusyn, Volodymyr Saefullah, Rifki Saepuloh, Aep Salih, Yasir Suhaimi, Nurnisaa binti Abdullah Sukono Sukono Tarkinih Tarkinih Vimelia, Willen Yuningsih, Siti Hadiaty