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Journal : Society

Mengoptimalkan Platform Media Sosial untuk Mendorong Keterlibatan Aktif Masyarakat dalam Mengatasi Perubahan Iklim dan Pelestarian Lingkungan Lestari, Rina; Nurmandi, Achmad; Younus, Muhammad; Lawelai, Herman; Suardi, Wahdania
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.v13i1.742

Abstract

This research aims to optimize social media platforms to foster active public engagement in tackling climate change and environmental conservation. Social media enables rapid and widespread dissemination of information, creates space for public discussion, and encourages collective action on environmental issues. In this study, researchers applied a qualitative method with a systematic literature review approach, using bibliometric analysis using the Scopus database. The analysis results show a significant increase in publications related to this topic from 2019 to 2024, reflecting the important role of social media in climate change mitigation efforts. With interactive features such as hashtags and online campaigns, social media strengthens awareness and collaboration across communities, governments, and the private sector. In addition, social media plays a role in building digital communities that support each other in promoting environmentally friendly behaviors. The study also highlights the importance of managing accurate information to avoid disinformation and maximize the positive impact of digital platforms on sustainable environmental policy advocacy.
Peran Kecerdasan Buatan dalam Model Kematangan Digital: Analisis Bibliometrik (2015-2024) Fahrisky, Agi; Nurmandi, Achmad; Younus, Muhammad; Lawelai, Herman
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.v13i2.783

Abstract

This study investigates the role of Artificial Intelligence (AI) in advancing Digital Maturity Models (DMMs) to support digital transformation across various sectors. Although AI technologies have been widely adopted, few studies have explicitly examined how AI influences the dimensions of digital maturity or mapped the evolving research landscape on this subject. To address this gap, a bibliometric analysis was conducted using 430 journal articles published between 2015 and 2024, sourced from the Scopus database. Quantitative methods were employed using R Studio and the Bibliometrix package to analyze publication trends, keyword co-occurrences, and international research collaborations. The findings reveal a notable increase in AI-related DMM publications since 2022, with key themes including technological innovation, strategic transformation, and socio-organizational adaptation. This study contributes to the existing body of knowledge by offering a systematic overview of research developments, highlighting critical gaps, and laying the groundwork for adaptive AI maturity models. Its novelty lies in applying bibliometric techniques to uncover thematic structures that can inform future research agendas and policy directions in digital transformation.
Analisis Scientometric tentang Kematangan Transformasi Digital dalam Penelitian dan Pengembangan Riski, Riski; Nurmandi, Achmad; Younus, Muhammad; Lawelai, Herman; Suardi, Wahdania
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.v13i1.800

Abstract

This study uses a scientometric approach to analyze the evolution and maturity of digital transformation in research and development (R&D) over the past decade. For this purpose, bibliometric data from the Scopus database was searched from 2015 to 2024. The resulting dataset of 495 articles was then exported in CSV format. The results showed that the evolution of digital transformation has had a major impact on research progress over the previous decade, with digital transformation maturity (DTM) emerging as an important concept in understanding how organizations and sectors adapt to technological advances. This study used scientometric analysis to explore the development and trends of DTM research over the past decade. The study then focuses more deeply on evaluating digital maturity, integrating technology in decision-making processes, and exploring specific sectors that have received relatively less attention in the existing literature from an industry perspective. The findings suggest that companies need to adopt a more systematic digital transformation strategy, optimize the use of data in management, and apply innovative technologies to improve efficiency and competitiveness.
Meta-Analisis Hubungan Antara Kematangan Digital dan Transformasi Digital Wahdaniyah, Nurul; Nurmandi, Achmad; Younus, Muhammad
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.v13i2.814

Abstract

This study examines the evolving relationship between digital maturity and digital transformation by conducting a bibliometric analysis. Employing a qualitative literature review supported by VOSviewer, it visualizes keyword co-occurrences and topic clusters. 67 Scopus-indexed publications from 2019 to 2023 were analyzed to uncover research trends and thematic patterns. The findings indicate a substantial rise in scholarly attention to this topic over the past five years. Core concepts such as digital transformation, maturity, technology adoption, and sustainable development emerged as central themes. In contrast, e-government and digital capability remain underexplored, suggesting future research opportunities. Theoretically, this study contributes to a more nuanced understanding of digital maturity, not merely as technological readiness but as a strategic enabler of long-term digital transformation. The study's key contribution is identifying well-developed and under-researched areas and proposing a three-phase digital transformation framework: capability development, strategic alignment, and data-driven sustainable transformation. A key limitation lies in the absence of empirical validation, which underscores the need for future research using primary data and integrating complementary databases.