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All Journal ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) BEAM
Asep Sutarman
University of Muhammadiyah Prof. Dr. HAMKA, Indonesia
Humanities Social Sciences

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Community Service Strategies through Education and Innovation in Rare Earth Elements Downstreaming Rusmin Saragih; Imeldawaty Gultom; Elisa Ananda Natalia; Jonathan Parker; Asep Sutarman; Paroli Paroli
ADI Pengabdian Kepada Masyarakat Vol 6 No 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i1.1341

Abstract

The downstreaming of Rare Earth Elements (REE) in Indonesia has significant potential to support national industrialization but faces challenges in environmental management and community involvement. Communities in REE-producing areas generally lack sufficient understanding of the ecological impacts and economic opportunities related to downstreaming activities. This community service program aims to enhance local community capacity through education and innovation in environmental management and sustainable utilization of REE downstreaming potential. The program applied a qualitative approach through socialization, counseling, group discussions, and community mentoring in potential REE-producing areas. It was supported by policy analysis and participatory observation to assess community understanding and engagement. The community service activities resulted in improved public awareness of environmental impacts and REE waste management. Communities became more active in promoting environmentally friendly practices and initiated simple innovations to support sustainable downstreaming. The conclusion of this community service program shows that education and innovation are effective strategies to strengthen community roles as active partners in supporting sustainable REE downstreaming. This approach can serve as a collaborative model between government, industry, and communities to promote environmentally conscious development of strategic natural resources.
Real Time Audience Analytics Using Machine Learning to Measure Listener and Viewer Cultural Engagement Asep Sutarman; Felix Sutisna; Dimas Aditya Prabowo; Kgomotso Moyo
Bridging of Emerging AI and Media Broadcasting (BEAM) Vol. 1 No. 1 November (2025): Bridging of Emerging AI and Media Broadcasting
Publisher : Sundara Publishing

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Abstract

The rapid evolution of digital media has transformed audience interaction, yet traditional metrics like views and likes fail to capture the nuanced emotional and cultural dynamics of broadcast content. This study develops a real-time audience analytics framework using machine learning to measure deep cultural engagement and emotional resonance within digital media environments. Adopting a hybrid methodological approach, the research integrates Natural Language Processing (NLP) with qualitative interpretation. The system processes live interaction data, employing sentiment analysis and pattern recognition to categorize audience responses into complex emotional and cultural engagement tiers beyond simple polarity. Findings demonstrate that the machine learning model effectively identifies real-time shifts in audience sentiment, revealing how specific cultural cues trigger heightened engagement and collective emotional responses. This research advances audience analytics by bridging the gap between computational speed and qualitative depth, offering a scalable model for broadcasters and researchers to understand the cultural impact of digital content as it happens.
Co-Authors Dimas Aditya Prabowo Elisa Ananda Natalia Felix Sutisna Imeldawaty Gultom Jonathan Parker Kgomotso Moyo Paroli Paroli Rusmin Saragih