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All Journal Jurnal Komunikasi Komunikator Jurnal Kajian Informasi & Perpustakaan Jurnal Kajian Komunikasi ProTVF Communicatus: Jurnal Ilmu Komunikasi Jurnal Pengabdian UntukMu NegeRI Journal of Governance Al Ishlah Jurnal Pendidikan Panggung Jurnal Ilmiah Peuradeun Jurnal Studi Komunikasi PRofesi Humas Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Jurnal Komunikasi Jurnal ASPIKOM MetaCommunication; Journal Of Communication Studies Jurnal Representamen PROSIDING KOMUNIKASI Jurnal Komunikasi Profesional Jurnal Ilmu Politik dan Komunikasi Kajian Jurnalisme TEMALI : Jurnal Pembangunan Sosial Bricolage : Jurnal Magister Ilmu Komunikasi Jurnal Manajemen Komunikasi Altasia : Jurnal Pariwisata Indonesia Jurnal Politikom Indonesiana JURNAL PUBLISITAS Komunikasiana: Journal of Communication Studies Jurnal Pewarta Indonesia Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Journal of Science and Education (JSE) Daengku: Journal of Humanities and Social Sciences Innovation Jurnal Abdi Masyarakat Indonesia Journal of Scientific Communication (JSC) Caraka : Indonesia Journal of Communication International Journal of Science and Society (IJSOC) ASPIRATION Journal Jurnal Signal Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Penelitian Ilmu Pendidikan Indonesia Journal of Artificial Intelligence and Digital Business Mediator: Jurnal Komunikasi Jurnal Communio: Jurnal Jurusan Ilmu Komunikasi Comdent: Communication Student Journal Toplama Ekspresi: Publikasi Kegiatan Pengabdian Indonesia Society Panggung Proceedings of Jogjakarta Communication Conference (JCC) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Dian Wardiana Sjuchro
Fakultas Ilmu Komunikasi, Universitas Padjadjaran, Indonesia
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Komunikasi dalam Pengambilan Keputusan Ekonomi di Kalangan Keluarga Sasaran Program CSR di Jatigede Timur Agus Rahmat; Mansyur Mansyur; Dian Wardiana Sjuchro; Rina Fitriana
Society Vol 13 No 1 (2025): Society
Publisher : Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/society.v13i1.807

Abstract

At the micro or local level, many Corporate Social Responsibility (CSR) programs are beneficial to communities. Most CSR initiatives focus on the economic aspect through income-generating activities. Previous researchers have extensively discussed the implementation processes and benefits of CSR programs for communities. However, a common challenge in the implementation of these programs is the difficulty faced by organizers in engaging target groups, due to factors such as family communication and internal references. This issue has attracted researchers to explore how communication influences decision-making regarding participation among beneficiaries or target groups of CSR programs, particularly in ensuring that the economic objectives set for target families can be successfully achieved. This study employs a qualitative method, utilizing structured interviews and focus group discussions (FGDs) involving 120 informants from CSR target groups considered representative. The findings indicate that the head of the household, as the primary target of the CSR program, communicates with his spouse and extended family when making decisions. The involvement of individuals outside the extended family is based on considerations of trust. The outcomes of these communication processes—among the head of the family, spouse, extended family, and trusted individuals—are significant in shaping a family’s decision to participate in a CSR program. Understanding who serves as a source of influence and inspiration in encouraging families to engage in CSR activities can enhance participation and interest among target communities, ultimately contributing to the success of the program.
Mengungkap Budaya Baru Penyiaran Radio: Analisis Perubahan dalam Produksi, Distribusi, dan Konsumsi Program Radio Ronny Yudhi Septa Priana; Dian Wardiana Sjuchro; Rina Fitriana
Society Vol 13 No 2 (2025): Society
Publisher : Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/society.v13i2.827

Abstract

This study explores the emergence of a new culture within the radio broadcasting industry, focusing on transformations in radio programs' production, distribution, and consumption. The new culture refers to shifts driven by digital transformation, significantly altering media practices. While previous studies have largely examined digitalization in mainstream or commercial media, little attention has been given to its impact on government-owned and community-based radio stations. To address this gap, the study employs a qualitative case study approach, examining two local broadcasting institutions in Indonesia: Serang Gawe FM, a Local Public Broadcasting Institution (LPBI; Lembaga Penyiaran Publik Lokal or LPPL) operated by the Serang Regency Government, and TiRTA FM, a student-run community radio station at Sultan Ageng Tirtayasa University. Data were collected through in-depth interviews and limited participatory observation, and analyzed through coding and thematic interpretation. Findings reveal that integrating internet-based technologies and social media has introduced new cultural practices in broadcasting. These include using social media to promote programs, conduct live streams, and distribute content via audio streaming platforms, resulting in greater audience reach and enhanced interactivity. The digital transformation has redefined the roles of broadcasters and listeners, fostering more participatory and dynamic communication. Furthermore, it enables local radio stations to connect with audience segments beyond the limitations of traditional FM signal coverage. This study contributes to ongoing discussions on media convergence and digital transformation by demonstrating that these developments are both technological and cultural. It emphasizes the importance of institutional adaptability and highlights the evolving relationship between media producers and audiences in the digital era.
Media Redundancy and Crisis Communication Resilience in Rural Communities: Community Radio Practices in Cisewu, Indonesia Dian Wardiana Sjuchro; Agus Rahmat; Iriana Bakti; Nuryah Asri Sjafirah; Ronny Yudhi Septa Priana
Journal of Science and Education (JSE) Vol. 6 No. 2 (2026): Journal of Science and Education (JSE)
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/jse.v6i2.790

Abstract

Communication networks and systems in rural areas often experience obstacles, especially during times of crisis due to disasters due to infrastructure damage and other disruptions that result in limited communication and information channels. This study aims to reveal how community radio contributes to the communication resilience system in facing crises in rural areas. The community radio referred to in this study is the RaSi FM Community Radio in Cisewu Village, Garut Regency, West Java, Indonesia. This research is a qualitative study using a case study approach. Researchers obtained data through in-depth interviews involving community radio managers and local residents and participant observation. The data analyzed included interview results, broadcast content, and other data deemed relevant to the study. The research findings indicate that community radio can function as an alternative communication channel that can replace other communication tools that experience obstacles and disruptions such as internet connections, telecommunication network interruptions, especially during crises such as natural disasters. Community radio provides verifiable information about the current conditions for both the surrounding community and those still within the limited service coverage area. In addition to the information provided, the presence of community radio encourages social coordination within the community and produces a collective response to various potential risks that may arise. These findings suggest that redundancy through community media can strengthen communication resilience in rural crisis systems.
Exploring the potential use of artificial intelligence in the Indonesian broadcasting industry Sjuchro, Dian Wardiana; Sugiana, Dadang; Nurfauziah, Isni; Tri, Nguyen Minh
Jurnal Studi Komunikasi Vol. 9 No. 2 (2025)
Publisher : Faculty of Communications Science, Dr. Soetomo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jsk.v9i2.9405

Abstract

AI is a system designed to help work become more effective and efficient. In the broadcasting industry, AI is mentioned as having potential that deserves attention. This study examined the adoption of AI in Indonesia’s broadcasting industry, addressing the research gap in emerging markets by analysing its operational impacts and ethical risks. Through a descriptive qualitative, alongside systematic reviews of Scopus, Web of Science, and Garuda databases, this research identified how Indonesia’s unique media landscape shapes AI integration. The findings revealed that while AI enhances efficiency, its ethical challenges necessitate localised solutions, leading to a proposed ‘Dual Accountability Model’, which reduces violations by 31% by balancing automation with human oversight. These results urge policymakers to develop KPI-certified AI governance frameworks and provide broadcasters with strategies for the ethical implementation of AI, offering a replicable model for ASEAN nations navigating similar technological transitions.
Predicting Student Academic Success Using Machine Learning Models: A Learning Analytics Approach in Higher Education Arief Hidayat; Swasti Maharani; Dendi Pratama; Ramadiani Ramadiani; S Sujito; Addy Septyawan; Dian Wardiana Sjuchro
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4881

Abstract

Rapid deployment of digital learning technologies in the higher education sector has created immense amounts of educational data that could be leveraged to enhance student success and institutional effectiveness. Nevertheless, student dropout, poor academic performance, and lack of retention continue to plague universities across the world. In most cases, identification of academically struggling students is often late since existing models are largely reactive. Therefore, there is need for development of advanced learning analytics models that are able to forecast student performance in higher education institutions. The current study seeks to create an artificial neural network (ANN)-based learning analytics framework to predict student success in higher education institutions. A predictive analytical approach based on quantitatively evaluating a sample of 1,000 undergraduate students was used in the current study. Various attributes used to evaluate the students included demographic information, academic performance, LMS activity, and learning behaviors. Learning analytics indicators used in the model included previous GPA, attendance rate, assignment completion rate, quiz scores, logins per week, learning hours per week, discussion engagement, engagement index, interaction scores, and learning consistency. In the analysis, the model was validated and tested against accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix, and cross validation tests. Results showed that accuracy, precision, recall, F1-Score, and ROC-AUC of the ANN model were 92.8%, 91.4%, 93.7%, 92.5%, and 0.96, respectively. Based on these outcomes, previous GPA, attendance rate, assignment completion rate, and various engagement indicators were found to be the strongest predictors of student success in college. On the theoretical front, contributions of this study include AI-assisted student performance and behavior prediction. Practically, a sophisticated warning system was developed in this study to assist in effective academic advisement and planning for student retention and academic improvement strategies.
Co-Authors -, Muhaemin A.S. Haris Sumadiria Aat Ruchiat Nugraha Abie Besman Abriani, Andi Aceng Abdullah Achmad Abdul Basith Addy Septyawan Adiputra, Andika Vinianto Agus Rahmat Agus Rahmat agus rahmat Agus Rusmana Agus Rusmana Agus Setiaman ahmad yani Akbar Iskandar Akhmad Yani Surachman Amalia, Efrina Gerda Amdan, Nana Sutisna Ana Rusmardiana Aprilia Rachma Aranggraeni, Renda Ardiansyah Goeliling Arief Hidayat Asfar, Dedy Ari Ayu Indra Wardhani Bagus Setya Rintyarna Basith, Ahmad Abdul Budi Santoso Casmudi Casmudi Cut Meutia Karolina Dadang Sugiana Dade Prat Untarti Dahana, Wirawan Dony Deddy Mulyana Dendi Pratama Dendi Pratama Desyandri Desyandri Dewi Yanti Diah Fatma Sjoraida Dina Oktavia Dwi Budi Santoso Dwi Masrina Edwin Rizal Efi Fadilah Eka Yusup Elnovani Lusiana Eni Maryani Evi Novianti Evi Nursanti Rukmana Evi Nursanti Rukmana, Evi Nursanti Eza Aldonna Fajar Hariyanto Faustine, Peace Fitri Daryanti Fitriana, Rina Franck Lavigne Franck Lavigne, Franck Hanifa Yusliha Rohmah Hanny Hafiar Hanny Hafiar Harliantara Harliantara Harlita Nindhasari Husnun Nasriah Nasriah Hussain, Zulkifli Ichsan Adil Prayogi Irawan, Rahmat Edi Iriana Bakti Iriyanti Mendayun Isiaka Zubair Aliagan Isni Nurfauzia Jenny Ratna Suminar Jimi Narotama Mahameruaji Kheokao, Jantima Kinanti, Dhea Ananta Kokom Komariah Kurnia, Moh. Mirza Kusumanegara, Idris Lani Gumilang Liliweri, Aloysius Lukman Samboteng & Rulinawaty Kasmad Lusi Romaddyniah Sujana Lusi Romaddyniah Sujana, Lusi Romaddyniah Lutfi Khoerunnisa Lutfi Khoerunnisa Mansyur Mansyur Maryani, Eni Mateo Jose A. Vidal Mohamad Sapari Dwi Hardian Muhaemin Muhaemin Muhammad Arif Rahman Nadhifa Viannisa Nana Sutisna Amdan Nugraha, Aditia Nurfauziah, Isni Nuryah Asri Sjafirah Nuryah Asri Sjafirah Nuryah Asri Sjafirah, Nuryah Asri Nuryah Asri Sjarifah Nuryah Asri Sjarifah, Nuryah Asri Osrita Hapsara Pandan Yudhapramesti Petrus Ana Andung Pramudiana, Ika Devi Prasastiningtyas, Widyapuri Prasetya, Tri Budi Priana, Ronny Yudhi Septa Priyo Subekti Priyo Subekti Priyo Subekti Purbandian, Adithya Satya Purwanti Hadisiwi Putri, Liza Diniarizky Qorinah Estiningtyas Sakilah Adnani R. Nia Kania Kurniawati Rachman, Reza Saeful Rahmatiah Ramadhan, Aditya Ramadiani - Ramon K. Santos III Ranissa Azahra Ria Mahdia Fitri Rina Fitriana Rina Fitriana, Rina Rinda Aunillah Sirait Ronny Yudhi Septa Priana Ronny Yudhi Septa Priana Rulinawaty Rulinawaty Rully Khairul Anwar S Sujito S. Kunto Adi Wibowo Safina Zora Hassanah Santi Susanti, Santi Sapari Dwi Hadian Sehabudin, Aang Septiana Yustika Widyaningrum Setia Wardhani, Widya Desary Sri Seti Indriani Sudarmi Sudarmi Sunardi Surya Dewi Susie Perbawasari Sutisna, Nana Swasti Maharani SYAHRIAL SYAHRIAL Syailendra Reza Irwansyah Rezeki Syam Maella, Nur'annafi Farni Tansah Rahmatullah Taufik Murtono Teddy Kurnia Wirakusumah Tri Palupi, Merry Fridha Tri, Nguyen Minh Tri, Nguyen Minh Ute Lies Siti Khadijah Viannisa, Nadhifa Wahyuanto, Eko Willya Achmad Winda Ersa Putri Yanti Setianti Yoki Yusanto Yusanto, Yoki Yusanto, Yoki Zainal Abidin