Institute for Advanced Science, Social, and Sustainable Future
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Digital crowdfunding for waqf-based forest carbon projects: A model for strengthening inclusive and sustainable Islamic green finance
Background: The transition toward a green economy has intensified the demand for sustainable and ethically grounded financing models to support forest conservation and climate mitigation, particularly in countries with high deforestation pressure such as Indonesia. While voluntary carbon markets provide a mechanism to value ecosystem services, their financing structures remain dominated by conventional approaches and have rarely incorporated Islamic social finance instruments. This study aims to assess the feasibility of integrating waqf-based forest conservation with Sharia-compliant digital crowdfunding and voluntary carbon trading to support environmental sustainability and community empowerment. Method: This study employs a qualitative exploratory approach using semi-structured interviews with nine key stakeholders, including waqf managers, Sharia regulators, forestry practitioners, Islamic finance professionals, and green finance academics. Data were collected purposively and analyzed through thematic analysis to identify patterns related to opportunities, challenges, and model feasibility. Findings: The findings indicate that waqf-based forest projects hold strong potential across social, economic, and ecological dimensions by enabling community participation, generating diversified income from non-timber forest products and carbon credits, and contributing to carbon sequestration and biodiversity conservation. Sharia-compliant crowdfunding enhances inclusivity and transparency in waqf fundraising; however, its effectiveness depends on regulatory clarity, institutional capacity of waqf managers, digital literacy, and public trust. Major challenges include regulatory fragmentation, the absence of specific Sharia guidance on carbon-related assets, and financial risks arising from high upfront costs and uncertain carbon revenues. The results demonstrate consistency between the proposed model and the principles of sustainable development and Islamic objectives emphasizing public benefit and environmental stewardship. Conclusion: The study concludes that the integrated model is feasible for phased implementation under clear regulatory, institutional, and Sharia governance frameworks. Novelty/Originality of this article: This article contributes a novel Islamic green finance framework by empirically validating an integrated model that links waqf forest financing, Sharia-compliant crowdfunding, and voluntary carbon markets
Enhancing conceptual understanding in elementary mathematics through technology integration and socially responsive teaching
Background: Elementary education is shaped by social contexts and learning environments that influence students’ academic development. Mathematics learning, particularly basic number operations, remains challenging due to abstract content and limited contextual instruction. Technology-based learning media offer an innovative approach to improving engagement, equity, and learning outcomes within diverse educational settings. Methods: This study adopted a qualitative case study approach to examine the integration of science and technology in elementary mathematics learning, particularly in teaching basic number operations. Data were collected through classroom observations and semi-structured interviews with the homeroom teacher to explore instructional strategies, learning dynamics, and the use of technology-based learning media. Findings: The findings indicate that students experienced significant difficulties in understanding basic number operations due to abstract content and limited interactive learning experiences. The integration of technology-based learning media, particularly interactive and visual digital tools, increased student engagement, motivation, and conceptual understanding of mathematics. Effective technology use, supported by appropriate infrastructure and teacher creativity, transformed mathematics learning into a more active, meaningful, and student-centered process. Conclusion: Based on these things, it can be concluded that teachers need to improve their competence in providing good pedagogy to students in the classroom. With the advancement of digitalization, it can be a solution and improve the learning process of students in mathematics subjects in elementary schools. Novelty/Originality of this article: This study offers original insight by situating technology-integrated mathematics learning within the social and educational environment of elementary classrooms, highlighting how teacher-driven digital pedagogy can address learning inequities and foster more inclusive, student-centered outcomes in line with interdisciplinary social–education perspectives
Assessing the readiness paradox of coastal ecotourism: A socio-technical evaluation of natural attraction versus infrastructure capability
Background: This study aims to assess the feasibility status of the development plan for Kampa Beach, a coastal destination located in Wawobili Village, West Wawonii District, within the administrative area of Konawe Islands Regency, Indonesia. Method: The study utilized a combination of purposive sampling for stakeholders, accidental sampling for 15 visitors, and a 10% sample of the 270 local residents in Wawobili Village. The research employed the ADO-ODTWA Guidelines as the methodological framework, applying seven established assessment criteria to evaluate the site’s potential for sustainable ecotourism development. Finding: The findings reveal that the Kampa Beach Tourism Area is feasible and holds strong potential to be developed into a premier ecotourism destination. The natural tourism attraction aspect achieved a very high index score of 85.14%, followed by accessibility with 82.26%. However, the accommodation availability criterion showed a relatively low score of 33.33%, while supporting facilities and infrastructure scored 60%, placing it in a mid-range category. The security criterion recorded the highest score of 91.66%, supported by environmental conditions and local community support (90%) and linkages to nearby tourist attractions (77.5%). While five criteria meet the requirements for full development, the lack of lodging and basic amenities requires immediate intervention. Conclusion: The composite calculation of all indicators yields a final average score of 74.27%, confirming Kampa Beach’s feasibility as a potential ecotourism area. The results also highlight key areas requiring priority interventions to ensure optimal and sustainable development. Novelty/Originality of this article: This study identifies a unique readiness paradox in Wawobili Village, where the natural attractiveness and community safety indices have reached elite levels (above 90%), but are hampered by severe delays in accommodation infrastructure (33%). Unlike general tourism reviews, this study identifies specific socio-technical barriers that must be overcome to transform this remote coastal site into a sustainable premier destination
Understanding male victimization in sexual harassment: A gender literacy analysis of patriarchal masculinity construction
Background: Sexual harassment is one of the negative acts that has a big impact on the victims. Not only women but men today can also become victims of sexual harassment. Even the perpetrators of sexual harassment are women. This research aims to analyze the phenomenon of sexual harassment in men. The research problem focuses on the victimization of men through sexual harassment. As well as finding out the extent of society's understanding regarding gender and sexuality literacy. Methods: This study uses a qualitative research design with an ethnographic approach to describe the life experiences of eight deliberately selected informants. Primary data obtained through purposive sampling is integrated with a critical review of relevant literature to place male victimization in the broader context of sociocultural and digital structures. Finding: The findings indicate that society still demonstrates a low level of understanding regarding gender and sexuality. This lack of awareness contributes to the normalization and trivialization of sexual harassment against men, causing many male victims to remain silent due to fear of stigma, disbelief, or ridicule. Such attitudes reflect deeply embedded patriarchal norms that hinder open discussions about men’s vulnerability and reinforce gender stereotypes that portray men as invulnerable. Conclusion: This study concludes that sexual harassment against men in cyberspace tends to be normalized and ignored due to the strong influence of patriarchal masculinity norms that demand men to always appear dominant. Novelty/Originality of this article: This study offers originality through its in-depth exploration of male victimization in sexual harassment a topic that remains underrepresented in academic discourse. By examining the social ignorance and gender bias that silence male victims, this research challenges dominant gender narratives and reveals critical gaps in public understanding of gender, sexuality, and patriarchal masculinity within both offline and digital spaces
TerasDigital: Community-based digital education innovation as a strategy to improve generation z’s competence to reduce unemployment in the digital economy era
Background: The rapid development of the digital economy has created new challenges, including the rising unemployment rate among Generation Z due to a lack of competencies aligned with industry needs. The gap between young graduates’ skills and the demands of the job market has become a key factor contributing to this issue. This study aims to provide a solution through TerasDigital, a community-based platform promoting digital education. Previous studies highlight that community learning and digital literacy play essential roles in enhancing employability among young generations. Methods: This study employs a literature review and digital labor trend analysis to identify the competency gap among Generation Z. Secondary data from national and global employment reports were analyzed to design programs aligned with the needs of the digital industry, focusing on critical thinking, public speaking, collaboration, creativity, project management, and technological proficiency. Findings: Analysis shows that addressing the competency gap among Generation Z requires an integrated ecosystem that goes beyond technical training by incorporating adaptive soft skills, professional guidance, and project-based collaboration. TerasDigital functions conceptually as a strategic bridge to narrow this gap, transforming non-formal education into a center for skills development and professional networking that is aligned with the needs of the digital industry. This model emphasizes that reducing digital unemployment depends on creating an accessible, community-driven environment that facilitates peer interaction and real-world project experience. Conclusion: TerasDigital is expected to serve as an effective and sustainable strategy to address competency disparities, enhance Generation Z’s competitiveness, and reduce unemployment amid the massive digital transformation. Novelty/Originality of this article: This study introduces TerasDigital as an innovative community-based digital education model that combines digital literacy, professional mentoring, and project-based learning to directly align Generation Z’s skills with the evolving needs of the digital economy
Gemoi Bite: Cookie formulation based on dandang gendis leaf extract and mocaf flour with the addition of soybean flour as a nutraceutical to stabilize blood glucose
Background: The rise in diabetes cases, coupled with the increasing prevalence of gluten intolerance, has prompted the development of gluten-free nutraceutical products with the potential to stabilize blood glucose levels. The combination of Clinacanthus nutans, soybean flour, and MOCAF supports glycemic control through the synergistic action of bioactive compounds and soluble fiber that stabilize blood glucose levels. Methods: The research design used a Completely Randomized Design (CRD) with two formulation variations. The study was conducted in two stages, a preliminary phase for formulation optimization and a main experimental phase involving 30 trained panelists recruited through purposive sampling. Dandang Gendis leaves were processed via microwave-drying at 40°C to preserve bioactive compounds, while finalized cookies were subjected to standardized proximate analysis at Universitas Brawijaya and sensory evaluation using a four-point hedonic scale. Findings: The results showed that variations in the proportion of dandang gendis leaf extract and soybean flour significantly affected the ash, fat, carbohydrate, calorie content, and sensory attributes (taste, aroma, color, and texture). The flour concentration also affected most of the physicochemical and organoleptic parameters. The best formulation was obtained in formulation 2 with a combination of 15% dandang gendis leaf extract and 25% soybean flour. The physicochemical characteristics of the cookies included water content of 10.81%, protein 6.7%, fat 0.35%, carbohydrate 78.5%, ash 1.5%, energy 256.5 kcal, glycemic index 37, and active compound content of 0.4% (flavonoid 0.2%, isoflavone 0.1%, and saponin 0.1%). Conclusion: The best formulation for Gemoi Bite functional cookies is a combination of 80 g of dandang gendis leaves and 40 g of soy flour, which boasts excellent sensory qualities and blood sugar control benefits. Novelty/Originality of this article: The uniqueness of this research lies in the synergistic formulation of Clinacanthus nutans extract, soybean flour, and MOCAF to create a special nutraceutical cake for diabetes management
Spatial autocorrelation analysis of tuberculosis incidence: Identifying geographical clusters and socio-environmental risk factors
Background: Indonesia ranks second as the country with the highest number of tuberculosis cases in the world. The three most populous provinces on the island of Java (West Java, East Java, and Central Java) contribute the most TB cases in Indonesia. The Provincial Health Offices of West Java, East Java, and Central Java have data on tuberculosis incidence and influencing risk factors, but most of the data is processed manually and presented in tables and graphs. Spatial and mapping approaches can be used to visualize the distribution of tuberculosis incidence and its risk factors. Method: This study used an ecological study design with a spatial approach. The population in this study consisted of 100 districts/cities in the provinces of West Java, East Java, and Central Java. The data used were aggregated from annual publications issued by the health offices and the central statistics agencies of the three provinces for the period 2024. Findings: The tuberculosis case notification rate distribution in the three regions of Java Island exhibited positive spatial autocorrelation. Three independent variables had negative spatial autocorrelation with the TB CNR, namely the percentage of poor people, the percentage of households with access to proper sanitation, and the percentage of livable houses. Meanwhile, population density is the only variable that has positive spatial autocorrelation with TB CNR. Conclusion: TB prevention, case finding, and intervention can adopt and modify the policy implications of these spatial analysis results by considering the conditions of each region. Originality of this article: This study applies spatial analysis using Moran's Index and LISA approaches in the regions of West Java, East Java, and Central Java, as well as its use of variables such as BPJS Health insurance ownership, access to proper sanitation, and livable housing, which have not been widely studied in previous research
Analysis of the influence of social and economic dimensions on sustainable development through environmental performance as a mediating variable: A structural equation modeling-partial least squares approach
Background: Sustainable development demands a balance between social, economic, and environmental dimensions. This study aims to analyze the influence of social and economic dimensions on sustainable development with environmental performance as a mediating variable using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) approach. Methods: This study uses secondary data from the Indonesian Sustainable Development Indicators (SDGs) report Volume 8 for 2023. The research variables consist of economic, social, environmental, and sustainable development dimensions which are analyzed using SmartPLS 4.0 software to assess validity, reliability, and relationships between constructs. Findings: The results show that economic variables have a significant negative effect on sustainable development (β = −0.930; p = 0.000), while social variables have a positive effect (β = 0.188; p = 0.093). Social variables significantly influence environmental performance (β = 0.516; p = 0.008), whereas economic and environmental variables do not significantly affect sustainability. The model shows strong explanatory power for sustainable development (R² = 0.848) but weak for environmental performance (R² = 0.265). Conclusion: The results show that the economic dimension has a significant negative effect on sustainable development, while the social dimension has a positive but insignificant effect. Environmental performance does not mediate the relationship between social and economic factors on sustainable development. However, the high R² value indicates that the model has strong explanatory power. Sustainable development in Indonesia is still dominated by economic factors, while social and environmental aspects have not provided optimal contributions. Novelty/Originality of this article: This research's novelty lies in the use of Indonesia's 2023 SDGs indicator data using the SEM-PLS approach to test the role of environmental performance as a mediating variable. The results provide a new empirical perspective on the imbalance of sustainable development pillars in developing countries
Therapeutic effects of qur’anic recitation (tilawah) on mental and physiological health: A PRISMA systematic review and meta-analysis with social solutions for community well-being
Background: The integration of Qur'anic recitation (tilawah) as a therapeutic intervention has gained increasing attention in recent years, with various studies suggesting its potential mental and physiological benefits. Despite promising evidence, the fragmented nature of existing studies has hindered a comprehensive understanding of tilawah's effects across diverse populations. This systematic review and meta-analysis aims to fill this gap by synthesizing empirical data on the therapeutic effects of Qur'anic recitation on both mental and physiological health. Methods: A systematic search was conducted across multiple databases, including Scopus, PubMed, and ScienceDirect, for studies published between 2000 and 2025. The review adhered to the PRISMA guidelines, and studies included were randomized controlled trials (RCTs), quasi-experimental studies, and pre-post intervention designs. Comprehensive Meta-Analysis (CMA) software was used to calculate effect sizes and assess heterogeneity across studies. Findings: A total of nine studies were included in the meta-analysis, assessing the effects of Qur'anic recitation on psychological outcomes like anxiety, depression, and stress, as well as physiological markers such as heart rate and cortisol levels. The meta-analysis revealed a small negative effect size (-0.309) with significant heterogeneity (I² = 92%), suggesting variability in the impact of tilawah across different studies and settings. Conclusion: Although the overall results did not reach statistical significance, individual studies indicated that Qur'anic recitation has therapeutic potential in reducing psychological distress and improving physiological health, particularly in Muslim-majority contexts. The study highlights the need for further research to standardize intervention protocols and explore factors like religiosity and cultural context that may influence the effectiveness of this intervention. Novelty/Originality of this article: This study offers a comprehensive synthesis of existing research on Qur'anic recitation, providing a valuable meta-analytic estimate of its therapeutic effects. It contributes new insights into the integration of spiritual practices into mental and physiological health interventions, with implications for culturally sensitive health strategies
Comparative analysis of burn area between google earth engine and manual digitization using the NBR algorithm
Background: Indonesia, as the third-largest tropical forest country in the world, is experiencing significant forest degradation driven by illegal logging, land-use conversion, and recurrent wildfires. Peatland ecosystems, particularly in Kubu Raya District, West Kalimantan, are highly susceptible to fire due to their organic-rich composition and seasonal desiccation. This study aims to assess the spatial distribution and severity of forest and land fires in Kubu Raya from 2019 to 2023 using remote sensing and geographic information system (GIS) techniques. Methods: Hotspot data from the Fire Information for Resource Management System (FIRMS) MODIS were analyzed to determine fire occurrences, while Sentinel-2 imagery was utilized to calculate the Normalized Burn Ratio (NBR) index for burn severity estimation. Image analysis was conducted using both manual digitization and the Google Earth Engine (GEE) platform to compare accuracy, efficiency, and spatial representation of burned-area detection. Findings: The findings indicated that 2023 recorded the largest burned area, covering 832,188.98 ha, predominantly within peatland zones. Accuracy assessment demonstrated that the GEE-based method achieved higher reliability, with overall accuracy and kappa statistic values of 86% and 74%, respectively, outperforming the manual approach. The spatial distribution of fire hotspots revealed that peat-dominated areas were more vulnerable to large-scale fires due to their hydrological characteristics. Conclusion: The results highlight that GEE provides a rapid, consistent, and accurate technique for burn area detection and fire severity analysis. Integrating cloud-based remote sensing with conventional GIS enhances monitoring capabilities for sustainable peatland management. Novelty/Originality of this article: The novelty of this research lies in its comparative accuracy evaluation between automated and manual burn area mapping. This study provides new methodological insights for fire monitoring across Indonesia’s tropical peatlands, demonstrating the advantages of cloud-based platforms for large-scale environmental assessments