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MANDALIKA: Journal of Social Sciences
Published by Balai Publikasi Indonesia
ISSN : 29858968     EISSN : 29858976     DOI : https://doi.org/10.56566/mandalika
Core Subject : Economy, Humanities, Science, Education, Social,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice
MANDALIKA: Journal of Social Sciences is the journal with rapid peer-review, which publishes works from a wide range of fields, including anthropology, criminology, economics, education, geography, history, law, linguistics, political science, psychology, social policy, social work, sociology and so on. All review processes are carried out using a single-blind review method and are managed by the editorial board. This method keeps the identity of the reviewer confidential from the author. Any reviewer who is asked to review an article by the editor of the MANDALIKA: Journal of Social Sciences must comply with the Ethics for Reviewers. MANDALIKA: Journal of Social Sciences provides open access that can be read and downloaded for free to the public and will support the exchange of knowledge in science and humanity service. The copyright of the published article is held by the author and under license Creative Commons Attribution 4.0 International License.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 52 Documents
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Artificial Intelligence in Climate Change Communication: Enhancing Public Awareness, Participation, and Policy Engagement Mohammad Nawab Turan; Omid Tarashtwal; Hafizullah Shahbazi
MANDALIKA : Journal of Social Science Vol. 4 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i1.655

Abstract

Climate change remains one of the most pressing global challenges, yet public awareness, participation, and evidence-based policy engagement often lag due to the complexity of scientific information and ineffective communication strategies. This study explores the role of artificial intelligence (AI) in enhancing climate change communication, fostering citizen engagement, and supporting policy formulation. Using a systematic literature review (SLR) methodology, publications from 2010 to 2025 were collected from reputable databases, including ScienceDirect, SpringerLink, IEEE Xplore, MDPI, Wiley, Emerald, and Scopus. Boolean search operators and targeted keywords, such as “artificial intelligence,” “climate change communication,” “public engagement,” and “policy,” guided the selection of relevant studies. Results indicate that AI significantly improves public understanding by enabling data-driven visualization, natural language generation, and predictive analytics. It enhances citizen participation through AI-powered citizen science initiatives, collaborative data collection, and real-time monitoring of environmental indicators. Additionally, AI strengthens policy engagement by facilitating evidence-based governance, scenario modeling, and adaptive decision-making. Overall, AI functions as a transformative tool that bridges scientific knowledge, societal awareness, and policy implementation, promoting informed and sustainable climate action. The findings underscore the need for equitable access, ethical considerations, and capacity building to ensure that AI benefits are widely shared and contribute to resilient climate strategies.
Mapping the Global Landscape of Political Culture Research: A Bibliometric Analysis of Scopus-Indexed Literature Wisnu Mahendra; Thufail Mujaddid Al-Qoyyim
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.483

Abstract

This study analyzes global trends in the study of political culture from 2004 to 2025 through a bibliometric approach to Scopus indexed publications. Political culture, which includes people's values, beliefs, and attitudes toward the political system, is an area of research that continues to evolve along with global political dynamics. However, comprehensive mapping of research trends is still limited. The purpose of the research is to identify publication trends, international collaborations, dominant topics, as well as key actors in the study of political culture. The method used was bibliometric analysis with the VOSviewer and R-Studio Biblioshiny tools to visualize data from 132 selected documents. The results show a fragmented academic community without the dominance of a single author, signaling opportunities for cross-disciplinary collaboration. Five main thematic clusters were identified: democracy and democratization, political participation and civic culture, public opinion and decision-making, political communication and social media, and determinants and gender. These findings reveal a paradigm shift in political culture research, which is increasingly influenced by digital transformation and globalization. This research makes an academic and practical contribution by presenting a strategic map for researchers, policymakers, and funding institutions to develop a collaborative and inclusive research agenda
Assessment of Baseline Critical Thinking in Undergraduate Pharmacy Education: Facione-Dimension Results from an Adapted CCTST in Phytochemistry Faizul Bayani; Joni Rokhmat; Aliefman Hakim; AA Sukarso
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.771

Abstract

This study assessed baseline critical-thinking performance among undergraduate pharmacy students in a phytochemistry course and examined preliminary diagnostic evidence for an adapted California Critical Thinking Skills Test (CCTST) aligned with Facione’s dimensions. A baseline assessment was administered to 41 fifth-semester students at FKES UNIQHBA Bagu during Academic Year 2025–2026. The 30-item instrument had a maximum score of 34 points and assessed interpretation, analysis, evaluation, inference, explanation, and self-regulation. The mean total score was 14.59 ± 2.77, equivalent to 42.90% ± 8.13% of the maximum, and no student reached the 70% contextual instructional reference. Evaluation (59.80%) and interpretation (57.10%) showed the highest relative achievement, whereas self-regulation (29.80%) and explanation (26.40%) were the weakest dimensions. Cronbach’s alpha was 0.599, and item analysis revealed pronounced floor and ceiling patterns, indicating limited measurement consistency and a need for further item refinement. The findings identify explanation and self-regulation as priority areas for instructional development while supporting continued psychometric evaluation of the adapted assessment before broader use.
Innovation Management Strategy to Increase Sustainable Creative Economic Growth in the Hospitality Industry: A Systematic Literature Review H. L. M. Mohideen
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.794

Abstract

Innovation in business models within the hospitality industry may substantially enhance a sustainable creative economy by facilitating local collaboration, incorporating sustainable practices, using local resources, and involving community stakeholders. This method not only improves the socio-economic structure of local communities but also conforms to global sustainability trends. Strategies for innovation in the hotel sector are essential for sustaining competitiveness and improving consumer experiences. This study aims to analyze and highlight several research publications examining management strategies for increasing sustainable creative economic growth, particularly in the hospitality industry. Using a Systematic Literature Review (SLR) approach guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram, we analyzed 22 research publications focused on management strategies to promote sustainable creative economic growth in this industry. The study's key findings indicate that innovation through technology and business model adaptation is a crucial element for sustainable growth. However, the successful implementation of this innovation depends heavily on several supporting factors, namely the development of a supportive organizational culture, engagement in local collaborations, and the ability to overcome various financial, technical, and cultural challenges. In conclusion, the integration of technological innovation and business models must be strategically implemented to ensure a balanced approach, where technological advancements do not override the essential human elements of hospitality
Impact of AI-Powered Personalization on Digital Marketing Effectiveness B Geethpriya; P Sasikumar; R Mithuna
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.813

Abstract

The continuous growth of Ai has also revolutionized digital marketing by providing enormous personalized consumer experiences on a bigger scale. Interestingly, the study examines how some personalization techniques based on artificial intelligence affect consumer engagement in digital marketing through click-through rates and purchase conversion. A quantitative survey method was adopted with 320 digital marketing professionals and online consumers from multiple industries. How the large scale datasets about users behaviour are used by algorithms such as for personalization, recommendation engines and behavioural targeting is being investigated in this research based on technology acceptance modeland expectation-confirmation theory. The results indicate that personalization features powered by AI greatly elevate consumer engagement and conversion, while the moderating role of algorithm transparency and perceptions of data privacy is also confirmed. In particular, when personalization was thought of as less relevant and not value-adding to them, consumers showed lower on satisfaction & loyalty. The findings provide readily applicable insight for marketers looking to navigate the use of AI-based tools while remaining ethical in their data collection. This study adds to the literature on human–AI interaction in marketing settings and offers a guide for how practitioners can implement responsible personalization techniques
Artificial Intelligence–Driven Environmental Education, Psychological Behavioural Change, and Sustainable Economic Development: Implications for Achieving the Sustainable Development Goals in Nigeria Nathan Udoinyang; Mac-Fisi Mac-Fisi; Kenneth Wariebi; Ekurume Ejiro Praise
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.814

Abstract

Artificial Intelligence (AI) is increasingly transforming education, environmental governance, and sustainable economic development worldwide. This study investigated the relationship between AI-driven environmental education, behavioural transformation, and sustainable economic development in Nigeria. A mixed-method explanatory design was employed, combining survey questionnaires and semi-structured interviews across Nigeria’s six geopolitical zones. The study involved 1,200 respondents, including teachers, university lecturers, environmental officers, ICT professionals, policymakers, entrepreneurs, and students. Data were analysed using descriptive statistics, multiple regression, and thematic analysis. Findings revealed that AI-driven environmental education significantly enhances environmental awareness, eco-friendly behavioural intentions, and participation in sustainable economic activities. Regression results further demonstrated that AI-supported environmental learning positively predicts behavioural change and sustainable economic development. Thematic analysis indicated that machine learning, adaptive learning platforms, predictive environmental analytics, and intelligent tutoring systems can strengthen climate literacy, digital sustainability competencies, and environmental decision-making. However, inadequate digital infrastructure, limited digital literacy, unstable electricity supply, and policy inconsistency remain significant barriers to effective AI adoption. The study concludes that integrating AI into environmental education can accelerate Nigeria’s progress toward SDGs 4, 8, 9, 11, 12, and 13 through strategic policy reforms, institutional investment, capacity building, and sustained stakeholder collaboration nationwide
Bias, Fairness, Social Justice and the Social Consequences of Artificial Intelligence Deployment in Environmental Sustainability in Nigeria Nathan Udoinyang; Filima Nyimabari Master
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.815

Abstract

Artificial Intelligence (AI) now plays a growing role in environmental sustainability. Systems powered by AI support climate modeling, pollution monitoring, resource management, and environmental decision-making. While these tools offer clear benefits, concerns about algorithmic bias, fairness, and social impact continue to grow, especially in developing countries. This study examines how bias, fairness, and social justice influence the deployment of AI technologies for environmental sustainability initiatives in Nigeria. A mixed-methods research design guided the study. Data was gotten from environmental professionals, policymakers, academics, and technology specialists across the six geopolitical zones of Nigeria. Structural Equation Modelling (SEM) and regression analysis assessed relationships among AI deployment, algorithmic bias, fairness in AI systems, governance transparency, and environmental sustainability outcomes. The analysis shows AI strengthens environmental monitoring, climate prediction, and resource management. At the same time, biased algorithms and unequal access to technology create social consequences that often affect vulnerable communities more strongly. The findings also show that transparent governance frameworks and inclusive datasets strengthen fairness and build public trust in AI-driven environmental decision systems and concludes that responsible AI governance remains essential for equitable and sustainable environmental outcomes as Nigeria advances through its digital sustainability transition.
Social Studies Education: A Tool for Curbing National Security Challenges and Development in Nigeria Eboh Rhoda N
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.819

Abstract

Nigeria continues to face persistent national security challenges, including kidnapping, violent crime, ethno-religious conflicts, corruption, and social instability, which significantly undermine sustainable national development. This study examines the role of Social Studies Education as a strategic educational tool for addressing national security challenges and promoting national development in Nigeria. The study adopts a qualitative descriptive approach based on a comprehensive review of relevant theoretical, conceptual, and empirical literature on Social Studies Education, national security, and development. The analysis is guided by Social Learning Theory, Human Security Theory, Civic Republican Theory, and Education for Sustainable Development. Findings indicate that Social Studies Education can contribute to national security by promoting patriotism, civic responsibility, tolerance, peaceful coexistence, respect for diversity, conflict resolution, and non-violent approaches to social disputes. It also strengthens responsible citizenship and social cohesion, creating an enabling environment for sustainable national development. However, its effectiveness remains constrained by inadequate implementation, limited value-oriented pedagogy, and broader institutional challenges. The study concludes that strengthening Social Studies Education can provide a preventive and transformative approach to insecurity in Nigeria. It recommends strengthening its implementation across educational levels, adopting participatory teaching strategies, promoting national consciousness, and aligning educational policies with national security and sustainable development objectives
Artificial Intelligence and Sustainable Development Goals: Empowering Women in Afghanistan Through Online Education Masoumeh Javadi; Zahra Karimi; Farideh Nazari; Zahra Hassani
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.823

Abstract

This study examines the role of Artificial Intelligence (AI) in empowering female students and advancing the sustainable development of women in Afghanistan. The objectives were to assess AI adoption patterns, evaluate AI's impact on multiple empowerment dimensions, and identify barriers to equitable access. Using a convergent mixed-methods design, structured questionnaires and semi-structured interviews were administered to 312 female students (response rate 92.3%) drawn from six faculties at Vision Online University—Engineering and Information Technology, Social Sciences, Business and Economics, Education, Health Sciences, and Law and Political Science. Results show that 74.4% of respondents regularly used AI tools, with statistically significant improvements across all six empowerment dimensions following AI integration (p < 0.001), most notably in information access (+49.9 points) and digital literacy (+41.6 points). However, the analysis also revealed persistent structural barriers, including poor internet connectivity (74%), electricity shortages (69%), device inaccessibility (63%), and limited availability of AI tools in local languages (58%). These findings indicate that AI holds substantial transformative potential for women's empowerment in Afghanistan, but realizing this potential requires targeted infrastructure investment, localization of AI tools in Dari and Pashto, and gender-responsive digital education policies
Optimizing ICT Infrastructure for Data-Driven Decision Support Systems in Humanitarian Contexts Mohammad Mustafa Quchi; Sayed Hassan Adelyar
MANDALIKA : Journal of Social Science Vol. 4 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i2.824

Abstract

This study evaluates the loading performance of a Power BI-based Decision Support System (DSS) application under controlled bandwidth constraints and develops an evidence-informed optimization and validation framework for humanitarian ICT environments. The GSM Invoice Detail Dashboard, presenting invoice and expense information, was used solely as a technical test application. Chrome DevTools captured browser-network metrics under two throughput profiles: 60 Mbps (Fiber profile) and 20 Mbps (VSAT-bandwidth profile). The profiles did not reproduce satellite latency, jitter, packet loss, weather effects, or shared-capacity variation. Two report scenarios of approximately 6,000 and 650,000 records were tested three times, and retained median values were analyzed descriptively. In the smaller scenario, the 20 Mbps profile recorded a 6.10-second load event compared with 4.35 seconds at 60 Mbps, approximately 23.0% more requests, 21.9% more transferred data, and a 56.3% longer DOMContentLoaded time. In the larger scenario, load-event values were 12.50 and 10.92 seconds, while finish times were 62 and 60 seconds. These measurements establish a bounded technical baseline but do not isolate causal contributions from bandwidth, protocol behavior, report design, server processing, caching, or database configuration. The proposed framework was not implemented; therefore, no post-optimization performance, reliability, user, or humanitarian outcomes are claimed

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