Garuda - Garba Rujukan Digital

Smartwatch sebagai Aktor Komunikasi dalam Jejaring Sosioteknologis Patrissia, Ressa Uli; Husni, Mochamad
Jurnal ISIP: Jurnal Ilmu Sosial dan Ilmu Politik Vol. 22 No. 2 (2025): Jurnal ISIP: Jurnal Ilmu Sosial dan Ilmu Politik
Publisher : Institute of Social and Political Science Jakarta (Institut Ilmu Sosial dan Ilmu Politik Jakarta - IISIP Jakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36451/jisip.v22i2.443

Smartwatch telah berkembang dari perangkat pendukung menjadi aktor komunikatif yang membentuk ritme, kebiasaan, dan makna sosial dalam kehidupan sehari-hari pengguna. Penelitian ini bertujuan menganalisis peran smartwatch sebagai aktor nonmanusia dalam jejaring komunikasi serta menjelaskan bagaimana makna dikonstruksi oleh kelompok sosial yang berbeda. Penelitian ini menggunakan pendekatan kualitatif dengan etnografi digital terhadap 12 informan lintas usia dan profesi. Analisis dilakukan secara induktif melalui empat kategori tematik, yaitu ritme, habit, makna, dan intervensi. Hasil penelitian menunjukkan bahwa smartwatch memediasi ritme komunikasi, membangun kebiasaan melalui skrip algoritmik, serta menciptakan relasi afektif dan simbolik yang berbeda antar kelompok pengguna. Perspektif Actor–Network Theory (ANT) menjelaskan bagaimana smartwatch memengaruhi tindakan melalui mediasi temporal dan intervensi, sedangkan Social Construction of Technology (SCOT) menunjukkan variasi makna yang dinegosiasikan sebagai efisiensi, keamanan, performa, atau gaya hidup. Temuan ini menegaskan bahwa komunikasi manusia–teknologi bersifat ko-konstitutif. Teknologi dan pengguna membentuk satu sama lain dalam jaringan sosial-teknologis. Penelitian selanjutnya disarankan mengeksplorasi komparasi lintas budaya dan konsekuensi etis dari intervensi algoritmik dalam kehidupan sehari-hari.

A PRISMA Systematic Review of AISAS Model Implementation to Enhance User Engagement on Instagram (2015–2025) Ressa Uli Patrissia
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5496

This study presents a systematic synthesis of research on the implementation of the AISAS (Attention, Interest, Search, Action, Share) model to enhance user engagement on Instagram from 2015 to 2025. Using the PRISMA 2020 protocol, 58 scholarly articles were analyzed to identify thematic patterns, best practices, and research gaps. The findings confirm that AISAS has been widely applied in influencer marketing, visual content strategies, brand awareness campaigns, and user-generated content, et the Search and Share stages remain underexplored. The study contributes a key novelty by proposing the Adaptive AISAS Cycle (AAC), which reconceptualizes AISAS not as a linear funnel but as a recursive engagement loop, where Search renews Attention and Share reinforces Interest. This cyclical interpretation better reflects the iterative dynamics of digital consumer behavior shaped by algorithmic personalization, emotional storytelling, and participatory culture. Theoretically, this study enriches digital marketing literature by advancing AISAS into an adaptive cycle, while practically it provides guidance for designing Instagram strategies that sustain long-term engagement and brand advocacy.

AISAS-Based Content Writing Strategies to Increase Instagram Engagement: A Case Study of News Accounts @Tvonenews Sophie Sita Amalia; Ressa Uli Patrissia
Journal of Social Research Vol. 4 No. 9 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i8.2715

The rapid growth of digital media has transformed how news is consumed, with Instagram emerging as a key platform for information dissemination. However, many news accounts, including @tvonenews, struggle with low audience engagement due to ineffective content strategies. This study examines how AISAS (Attention, Interest, Search, Action, Share)-based content writing strategies can enhance engagement on Instagram news accounts. This study aims to analyze the content writing strategy on the Instagram account @tvonenews in increasing audience engagement through the AISAS (Attention, Interest, Search, Action, Share) model approach. The method used is qualitative descriptive, employing observation techniques, literature studies, and interviews. The results show that the use of catchy headlines, informative and persuasive captions, and the integration of call-to-action (CTA) and relevant hashtags significantly increases engagement rates. Content that has been intervened shows an increase in the number of likes, comments, shares, and saves compared to before. The application of the AISAS model has proven effective in shaping two-way engagement with audiences and strengthening media imagery in the digital age. This research provides practical contributions for media institutions in designing content that is more communicative and responsive to information consumption behavior on social media.

The Techno-Oligarchic Communication Paradox: Corporate Media Effects and Democratic Deficit in Indonesian Political Parties Rachmat Hidayat; Pritha Ayodya; Mochamad Husni; Ressa Uli Patrissia; Prasetya Yoga Santoso
Greenation International Journal of Law and Social Sciences Vol. 4 No. 2 (2026): (GIJLSS) Greenation International Journal of Law and Social Sciences (May - Jun
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijlss.v4i2.842

Indonesian political parties exhibit a persistent democratic contradiction: electoral turnout above 79% coexists with party trust at only 35%, while algorithmic media ecology has simultaneously enabled civic mobilization and reinforced oligarchic entrenchment. Drawing on a qualitative constructivist design integrating PRISMA-guided systematic literature review (N = 44 studies, 2019–2025), single-case study of the Perindo Party, and systematic social media content analysis (N = 400 posts, κ = 0.81), this study extends Aeron Davis's (2019) four-phase media effects model through the proposed Techno-Oligarchic Communication Paradox (TOCP) framework. TOCP formalizes three structural mechanisms—Funding Corporatocracy, Digital Personalization Without Participation, and Algorithmic Legitimation Substitution—that explain how Phase 4 digital communication technologies paradoxically deepen democratic deficits within oligarchic institutional logics. Perindo's deployment of MNC Group infrastructure (68% corporate content), figure-centric microtargeting (79% HT-branded), and high algorithmic reach (34% youth) produced comprehension failure (72% unable to identify party platform) and legitimacy decline (−21 points in trust; electability at 4.1%). TOCP advances Davis's framework by centering corporate media ownership as an organizing structural variable applicable to emerging democracies in which media–party fusion is constitutive of the political communication landscape.

PENGARUH INTENSITAS PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE TERHADAP BERPIKIR KRITIS DAN HASIL BELAJAR MAHASISWA Prasetya Yoga Santoso; Ressa Uli Patrissia
Jurnal Lingkar Mutu Pendidikan Vol 23 No 1 (2026): Jurnal Lingkar Mutu Pendidikan
Publisher : LPMP Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54124/jlmp.v23i1.192

This study examines the effect of Generative Artificial Intelligence (Gen AI) usage on the critical thinking skills and learning outcomes of university students in Indonesia. The novelty of this research lies in the integration of AI literacy as a moderating variable, which has not been studied simultaneously in the context of Indonesian higher education. The study employed a one-shot case study pre-experimental method with 50 students as samples, divided into three groups based on Gen AI usage intensity: low (n=16), moderate (n=17), and high (n=17). Data were analyzed using one-way Analysis of Variance (ANOVA). Results revealed significant differences in critical thinking skills (F(2,47) = 18.43, p < .001) and learning outcomes (F(2,47) = 22.17, p < .001) among the three groups. The high-intensity Gen AI group obtained the highest mean critical thinking score (M = 84.71, SD = 5.34) and the best learning outcomes (M = 87.12, SD = 4.91). This study recommends structured integration of Gen AI into higher education curricula accompanied by enhanced AI literacy for students.

Strategic ESG Legitimacy Model: Integrating SWOT Analysis and GRI Indicators to Assess Corporate Sustainability Performance Evana Pasaribu; Ressa Uli Patrissia
Taxation and Public Finance Vol. 3 No. 2 (2026): JUNE 2026
Publisher : Santoso Academy Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/tpf.v3i2.567

As one of the largest coal mining companies in Indonesia, PT ABC Tbk faces demands not only to maintain business performance but also to ensure sustainability practices align with international standards. Its 2024 sustainability report serves as the basis for evaluating the company's ability to manage environmental, social, and governance (ESG) issues. Using qualitative methods based on case studies and a literature review, the analysis employed a SWOT framework informed by material topics from the Global Reporting Initiative (GRI). The study results indicate that the company's sustainability performance remains average, reflected in scores of 2.16 for internal factors and 2.24 for external factors. These findings highlight weaknesses that need to be addressed and also provide opportunities for the company to strengthen its sustainability strategy, optimize existing potential, and anticipate future threats.

Strategic Digital Communicative Design for Emerging Fashion Brands Ressa Uli Patrissia; Nadia Adiva Putri Pertiwi
Mediator: Jurnal Komunikasi Vol. 19 No. 1 (2026): Mediator: Jurnal Komunikasi (Sinta 2)
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/mediator.v19i1.7990

Hayara.id is a premium hijab brand targeting digitally native Muslim women in Indonesia, whose website experienced a significant decline in user sessions and engagement. This study investigates how theory-driven website interventions can enhance digital brand recognition by integrating behavioral, algorithmic, emotional, and symbolic communication strategies. The research pursues two objectives: (1) to develop a communication-based website branding framework and (2) to evaluate the impact of a strategic website redesign on brand awareness and user engagement. To achieve these objectives, the study introduces the Digital Resonance Branding Model (DRBM), synthesizing the AISAS model, Algorithmic Identity Theory, Communicative Figurations, and Emotional Branding. A three-month intervention comprised SEO-oriented information architecture restructuring, UX/UI optimization aligned with AISAS stages, emotional storytelling through blog and visual content, and symbolic brand identity refinement. Using a practice-based research approach, findings were triangulated across Google Analytics, Hostinger Builder metrics, and stakeholder interviews. Post-intervention results show a 206% increase in sessions, a 74% rise in unique visitors, a 48% reduction in bounce rate, and a 1266% increase in checkout clicks. These findings indicate that digital brand awareness is shaped by recursive behavioral, algorithmic, and symbolic interactions rather than visibility alone. DRBM offers a replicable framework for emerging fashion brands seeking emotionally resonant, identity-driven web experiences.

Wearable Artificial Intelligence in Human Communication: A PRISMA–Guided Systematic Review of Applications, Trends, and Ethical Challenges (2015–2025) Ressa Uli Patrissia
Greenation International Journal of Law and Social Sciences Vol. 4 No. 1 (2026): (GIJLSS) Greenation International Journal of Law and Social Sciences (March - A
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijlss.v4i1.783

Wearable artificial intelligence (AI) technologies are rapidly transforming how human communication is sensed, interpreted, and augmented across multiple social contexts. Despite increasing research interest, comprehensive synthesis of empirical studies examining wearable AI in communication remains limited. This study presents a systematic literature review following the PRISMA 2020 guidelines to map the development of wearable AI communication research published between 2015 and 2025. Searches were conducted across five major databases—Scopus, Web of Science, PubMed, IEEE Xplore, and ACM Digital Library—yielding 93 eligible studies, of which 58 were included in a quantitative meta-analysis. The findings identify five dominant research clusters: health communication, interpersonal and social communication, occupational communication, educational communication, and accessibility communication. Smartwatches, EEG headbands, and biosensor-based wearables emerged as the most frequently used technological platforms, while deep learning architectures dominated analytical approaches. Results indicate that wearable AI systems can effectively infer communicative states such as emotional arousal, cognitive workload, and behavioral intention, with pooled accuracy exceeding 80% across several domains. However, significant challenges remain regarding methodological heterogeneity, limited demographic diversity, algorithmic bias, and underdeveloped ethical governance. The study concludes that wearable AI is reshaping the communicative landscape by integrating physiological sensing with algorithmic interpretation, while emphasizing the need for interdisciplinary research, inclusive datasets, and robust ethical frameworks to ensure equitable and responsible deployment.

Smartwatches, AI, and the Three Faces of Technological Determinism: A Marxist Critique of Digital Capitalism Ressa Uli Patrissia; Mochamad Husni
International Journal of Science and Environment (IJSE) Vol. 5 No. 4 (2025): November 2025
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v5i3.178

This study explores the role of artificial intelligence (AI) in smartwatches through the critical lens of Karl Marx’s theory of technological determinism. In contrast to functionalist and adoption-centered analyses, the research problematizes the ideological and socio-economic structures underpinning wearable technologies. The objective is to reinterpret smartwatches not as neutral innovations but as artifacts embedded in digital capitalism—functioning simultaneously as autonomous agents, social constraints, and political instruments. Employing a qualitative, conceptual methodology grounded in Marxist historiography and critical media studies, the research synthesizes canonical texts with contemporary scholarship on AI, surveillance, and labor. The results reveal that AI-powered smartwatches reinforce capitalist imperatives of productivity, data commodification, and self-discipline, ultimately contributing to behavioral governance and user alienation. This study offers a dialectical framework that exposes the myth of technological neutrality and reframes wearable AI as a site of ideological reproduction. It contributes to communication and technology studies by advancing a historically grounded critique of how digital devices shape, and are shaped by, class dynamics, capitalist rationality, and power structures.

PENGARUH INTENSITAS PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE TERHADAP BERPIKIR KRITIS DAN HASIL BELAJAR MAHASISWA Prasetya Yoga Santoso; Ressa Uli Patrissia
Jurnal Lingkar Mutu Pendidikan Vol 23 No 1 (2026): Jurnal Lingkar Mutu Pendidikan
Publisher : LPMP Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54124/jlmp.v23i1.192

This study examines the effect of Generative Artificial Intelligence (Gen AI) usage on the critical thinking skills and learning outcomes of university students in Indonesia. The novelty of this research lies in the integration of AI literacy as a moderating variable, which has not been studied simultaneously in the context of Indonesian higher education. The study employed a one-shot case study pre-experimental method with 50 students as samples, divided into three groups based on Gen AI usage intensity: low (n=16), moderate (n=17), and high (n=17). Data were analyzed using one-way Analysis of Variance (ANOVA). Results revealed significant differences in critical thinking skills (F(2,47) = 18.43, p < .001) and learning outcomes (F(2,47) = 22.17, p < .001) among the three groups. The high-intensity Gen AI group obtained the highest mean critical thinking score (M = 84.71, SD = 5.34) and the best learning outcomes (M = 87.12, SD = 4.91). This study recommends structured integration of Gen AI into higher education curricula accompanied by enhanced AI literacy for students.

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