Abstract:This study investigates the tensile uplift capacity of screw piles in clay soil as an alternative anchoring system for slope stabilization in cohesive ground conditions. The research aims to address the limited availability…
ity of empirical field data on screw-pile behavior under repeated loading and to evaluate the agreement between theoretical predictions and actual in situ responses. The methodology employs an experimental approach through in situ testing with screw-pile diameters of 10 cm, 15 cm, and 20 cm, and embedment depths ranging from 0.6 m to 1.0 m. The tests were conducted under both static and repeated tensile loading using a hydraulic jack system, accompanied by vertical deformation measurements to establish load–displacement curves. Theoretical capacity was calculated using a limit equilibrium approach for comparison with experimental results. The findings reveal a nonlinear load–displacement response, characterized by initial stiffness followed by progressive deformation into the post-yield stage. At a maximum load of 2.858 tons, deformation increased with diameter, from 5.10 cm (10 cm) to 8.49 cm (20 cm). Under repeated loading, failure occurred at a lower load of approximately 1.6 tons with a maximum deformation of 1.648 cm, indicating potential capacity degradation due to cyclic loading. The comparison between theoretical and field results shows significant deviations, with analytical predictions generally underestimating the in situ capacity. This highlights the limitations of simplified models that do not fully account for shaft adhesion, installation disturbance, soil heterogeneity, pore-water pressure effects, and cyclic degradation. Overall, this study contributes valuable field pull-out test data for screw piles in clay under repeated loading, emphasizing the need for design calibration based on full-scale testing for slope stabilization applications. The results also suggest opportunities for further research involving long-term monitoring and advanced modeling of cyclic degradation.
Abstract:This study applied a Systematic Literature Review (SLR) to identify, appraise, and synthesize open-access empirical evidence on inclusive care models in elderly healthcare. The review followed PRISMA 2020 and searched PubMed,…
bMed, Scopus, Web of Science, DOAJ, and Google Scholar for studies published between 2015 and 2025. Eligible articles were original research (quantitative, qualitative, or mixed methods) focusing on service delivery or care models for older adults and explicitly addressing inclusivity, integration, person-centeredness, or collaborative care, with full-text availability in English or Indonesian. From 1,280 records, 1,010 unique articles were screened, 80 full texts were assessed, and 10 studies were included in the final synthesis. Across studies, inclusive elderly care was most consistently implemented through integrated, person-centred, team-based delivery combining comprehensive assessment, individualized care planning, coordinated follow-up, and cross-sector collaboration. Stronger benefits were typically observed among frail older adults when care intensity was aligned with comlplex needs by risk stratification and case management. Mental health integration emerged as a critical component for community-dwelling older adults, supporting the integration of psychological care into routine elderly healthcare pathways rather than parallel programs. Evidence from institutional settings indicated that partnership-based models involving nurses, caregivers, and older adults can improve functional outcomes. Overall, the findings support scaling integrated community and institutional partnership approaches, while future research should strengthen reporting on implementation fidelity, equity impacts, and cost-effectiveness to guide sustainable adoption of inclusive, gerontic-friendly care models.
Abstract:This research discusses the concepts of i’rab and ‘amil in Arabic grammar and examines the methodological differences between the Basra and Kufa schools as the two primary streams in the construction of nahwu (syntax). I’rab…
). I’rab is understood as the changes in the vowels at the end of words influenced by the presence of an ‘amil (governor) and the word's position within the sentence structure, thus playing a vital role in preserving meaning and syntactic order in the Arabic language. This study employs a qualitative approach with a library research method, tracing primary sources from the works of classical scholars and secondary sources from modern studies. Data analysis was conducted using content and comparative analysis methods to identify the epistemological characteristics of both schools. The results of the study show that the Basra school is prescriptive, rational, and selective regarding linguistic sources, whereas the Kufa school is more descriptive, flexible, and open to various speech patterns, including those considered syadz (irregular). These differing approaches impact how both schools understand and formulate the rules of i’rab and ‘amil. This study concludes that both schools provided distinct yet complementary contributions to the development of Arabic nahwu, where Basra played a role in theoretical standardization and Kufa contributed to the preservation of linguistic reality. These findings emphasize that the understanding of i’rab is not only related to grammatical aspects but is also supported by historical and epistemological perspectives within the scientific tradition of the Arabic language.
Abstract:The development of digital payment systems has driven the increasing use of the Indonesian Standard Quick Response Code (QRIS) as a practical and integrated cashless transaction method. Although QRIS adoption continues to…
o increase, its continued use is still influenced by trust, perceived risk, and the prevalence of fraud in digital transactions. This study aims to analyze the influence of trust and risk on QRIS use, with fraud as a moderating variable, in the city of Bandung. This study used a quantitative approach with a survey of 200 QRIS user respondents. The data analysis technique used was Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that trust had a positive and significant effect on QRIS use, while risk had a negative and significant effect. Furthermore, fraud moderated the relationship between trust and QRIS use by weakening the influence of trust, and moderated the relationship between risk and QRIS use by strengthening the influence of risk. These findings confirm that although QRIS offers convenience and efficiency, perceptions of risk and fraud remain crucial factors influencing usage behavior. This research is expected to provide theoretical contributions to the development of digital payment technology adoption models and provide practical implications for regulators, payment service providers, and MSMEs in strengthening security, improving digital literacy, and building user trust in the QRIS payment system.
Abstract:Boredom in the learning process at elementary schools (SD) is a significant factor in declining student motivation and academic achievement. In regions with unique geographical and cultural characteristics, such as Papua,…
, this challenge is often exacerbated by the limitations of conventional learning media and teaching methods, which tend to be monotonous. This research aims to analyze the effectiveness of active learning model innovation as a strategic solution to increase elementary school students' learning motivation. The research method used is library research by analyzing literature from the last 10 years and integrating observational case studies from an elementary school in Nabire, Papua. The results show that the implementation of Game-Based Learning and Outdoor Collaborative Learning models can significantly reduce student boredom levels. The case in Papua shows that the use of local wisdom (ethno-pedagogy) as part of active learning increases student engagement by up to 50%. Analysis of literature data confirms that physical and emotional involvement in learning strengthens memory retention and intrinsic interest. The conclusion of this research affirms that teachers must transform from information providers to creative facilitators to create a dynamic classroom ecosystem. The proposed solutions include diversifying activity-based methods and adapting environment-based curricula to ensure the sustainability of children's learning motivation at the elementary education level.
Abstract:Coal mining, handling, and transportation activities are major sources of airborne particulate matter containing respirable crystalline silica, which poses significant risks to respiratory health. Silicosis remains a serious…
ious occupational and environmental disease affecting not only workers but also communities living near coal-handling areas. Physical environmental factors, including air quality, temperature, humidity, and wind speed, play an important role in influencing dust generation, dispersion, and inhalation exposure. This narrative review aims to synthesize current evidence on the influence of physical environmental conditions on silica exposure and silicosis development, integrating findings from environmental monitoring studies, epidemiological research, and experimental Wistar rat models. A literature search was conducted using major scientific databases to identify relevant peer-reviewed articles published between 2010 and 2024. The reviewed evidence indicates that prolonged or high-intensity exposure to silica dust is strongly associated with chronic pulmonary inflammation and progressive fibrosis. Environmental conditions can exacerbate exposure risk by increasing airborne particulate concentrations and respiratory vulnerability. Experimental studies using Wistar rats provide mechanistic insights into silica-induced lung injury, supporting epidemiological observations in human populations. This review highlights the importance of integrating environmental, occupational, and biological perspectives to improve risk prediction, early detection, and preventive strategies for silicosis in coal-handling regions.
Abstract:This study aims to analyze the influence of multi-stakeholder collaboration on the resilience of tourism activities and to examine the mediating role of sustainable tourism management within a community-based tourism village…
lage context. A quantitative explanatory research design was employed, using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research was conducted in Nglanggeran Tourism Village, Special Region of Yogyakarta, Indonesia, with data collection carried out in 2025. A total of 90 respondents were selected through purposive sampling based on their active involvement in village tourism activities. The three main constructs, namely multi-stakeholder collaboration, sustainable tourism management, and tourism activity resilience, were measured using a 5-point Likert scale instrument. PLS-SEM analysis was employed to evaluate the measurement and structural models, encompassing assessments of validity, reliability, R², Q², and hypothesis testing via bootstrapping. Findings indicate that multi-stakeholder collaboration has a positive and significant effect on both sustainable tourism management and tourism activity resilience. Sustainable tourism management also shows a positive and considerable influence on tourism activity resilience. Furthermore, a partial mediation effect was identified, wherein sustainable tourism management strengthens the impact of multi-stakeholder collaboration on the strength of tourism activities. Structured and inclusive multi-stakeholder collaboration, when integrated with sustainable tourism management practices, enhances the resilience of tourism activities in community-based destinations. These results underscore the crucial importance of collaborative governance and sustainable management practices in fostering destination sustainability and resilience.
Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
Abstract:Indonesia faces a dualism within the Islamic fiscal system, where zakat and taxes operate separately without clear integration. This condition raises fundamental questions regarding the relationship between the two from…
a sharia perspective and their implications for fiscal justice among Indonesian Muslims. This study aims to examine and formulate the relationship between zakat and taxes from the perspective of the Qur’an and Hadith in order to produce an applicable reformulation model within the context of Indonesia’s fiscal system. This research employs a qualitative approach using a thematic (maudhu‘i) method applied to primary Islamic texts. Qur’anic verses and Hadiths related to zakat, taxation (kharaj, jizyah, ‘usyur), and fiscal obligations were collected, classified, and comprehensively analyzed to identify the underlying connection between the two. The analysis is further supported by a study of maqashid al-shariah and contemporary ijtihad of Indonesian scholars. This study seeks to produce a reformulation model of the zakat–tax relationship through three possible schemes: (1) a partial substitution model, in which zakat can serve as a deduction for income tax up to a certain limit; (2) a complementary model, positioning zakat as a religious obligation and tax as a civic obligation with distinct functions; and (3) a progressive integrative model, integrating zakat into the national fiscal system through a more comprehensive tax incentive mechanism. The findings indicate that the Qur’an and Hadith provide a flexible foundation for all three models, depending on the context of maslahah and public interest.
Abstract:Learning in the 21st century requires teachers to act not only as conveyors of information but also as designers of creative learning that is relevant to students' needs. The application of a deep learning approach is believed…
lieved to improve critical thinking skills, in-depth conceptual understanding, and collaborative skills, which are crucial in facing the challenges of the independent curriculum. In this context, the role of teachers in the West Angkola District Teacher Working Group (KKG) is crucial to examine, particularly in designing creative learning oriented toward developing higher-order thinking skills. This study aims to analyzea the role of teachers in designing creative learning based on deep learning and explore the strategies used to integrate deep learning principles into learning planning and practice. The method used is descriptive qualitative, with data collection through observation, in-depth interviews, and documentation studies involving teachers who are members of the West Angkola District KKG.The results indicate that teachers play a strategic role in designing creative learning through the use of interactive media, developing problem-based activities, and implementing collaborative learning models. Teachers also strive to foster students' critical thinking skills through structured discussions, explorations, and reflections. The learning design implemented has been proven to not only increase student motivation but also strengthen teachers' professional competence in managing more meaningful learning. Thus, it can be concluded that the role of teachers in designing creative learning using a deep learning approach significantly contributes to the quality of the learning process in elementary schools. The results of this study are expected to serve as a reference in developing creative learning practices based on deep learning in the Teachers' Working Group (KKG) and other teacher professional development forums.