Abstract:Elementary education plays a strategic role in shaping students’ character, civic attitudes, and social-emotional development. Civic Education is a fundamental subject for instilling democratic values, responsibility, and…
and social awareness from an early age. Meanwhile, the advancement of digital technology, particularly Artificial Intelligence (AI)–based learning media, offers new opportunities to improve the quality of learning in elementary schools. This study aims to analyze the existence of Civic Education and the use of AI-based learning media in supporting students’ social-emotional development. This research employed a descriptive qualitative approach and was conducted at SD Negeri 0722 PTPN IV Lubuk Bunut. Data were collected through observation, interviews, and documentation. The findings indicate that Civic Education plays a significant role in fostering students’ social attitudes, empathy, and responsibility, while AI-based learning media enhance students’ learning motivation and engagement when implemented appropriately and in accordance with developmental stages. The integration of Civic Education, AI-based media, and developmental psychology perspectives contributes positively to students’ social-emotional development in elementary education.
Abstract:This study aims to analyze the role of perceived usefulness (PU) and perceived ease of use (PEOU) in mediating the relationship between financial behavioral biases—namely financial literacy (FL), overconfidence (OC), and…
nd risk tolerance (RT)—and Bitcoin investment decisions among Generation Z in Indonesia, using the Tokocrypto and Indodax platforms. Employing a quantitative approach with a survey of 360 active Generation Z investors, data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings indicate that financial literacy, risk tolerance, PU, and PEOU have a direct positive and significant effect on Bitcoin investment decisions. Overconfidence, however, showed no significant direct effect. Furthermore, PU and PEOU partially mediated the relationships between financial literacy and investment decisions, as well as between risk tolerance and investment decisions. Notably, PEOU emerged as the strongest mediating pathway, particularly for risk tolerance. Conversely, neither PU nor PEOU mediated the relationship between overconfidence and investment decisions. This research contributes theoretically by integrating Behavioral Finance theory with the Technology Acceptance Model (TAM) in the context of high-risk digital assets. Practically, it offers insights for platform developers to enhance user experience and design targeted financial education, and for regulators to formulate behaviorally-informed investor protection policies.
Abstract:Previous studies have shown that the Critical Path Method (CPM) and the Project Evaluation and Review Technique (PERT) are effective in optimizing project completion time. Based on observations, the construction of a single…
ingle housing unit typically requires 64 working days. This study aims to obtain an optimal scheduling result by applying CPM and PERT to the construction project of a subsidized house type-36 in Perumahan Malimbukan Permai III, North Minahasa Regency. The analysis results indicate that the project’s critical path consists of A – B – C – D – E – F – H – K – L – M – N – P – Q. Using the CPM method, the required completion time is 55 days, while the PERT method yields an estimated 55.68 days. With a deadline of 60 days, the probability of completing the project is 99.94%. This study highlights the importance of monitoring the critical path and utilizing time estimation in project planning to prevent delays and unforeseen obstacles.
Abstract:HIV/AIDS remains a major public health concern worldwide, and stigma toward People Living with HIV/AIDS (PLWHA) continues to hinder prevention and treatment efforts, particularly in regions with limited health literacy.…
In Gorontalo City, community stigma persists due to misconceptions about HIV transmission, exaggerated fears, and culturally embedded moral judgments that associate HIV with deviant behavior. This study aims to describe the level of community stigma toward PLWHA in Liluwo Village and identify factors contributing to these attitudes. Using an analytical survey with a cross-sectional design, the study involved 185 respondents selected through stratified random sampling. A structured questionnaire assessed respondents’ HIV/AIDS knowledge, religiosity, and stigmatizing attitudes. The findings reveal that 102 respondents (55.1%) demonstrated stigmatizing behaviors, characterized by avoidance of physical contact, reluctance to live near PLWHA, fear of sharing public spaces, and inaccurate beliefs about how HIV is transmitted. Meanwhile, 83 respondents (44.9%) exhibited no stigma, showing higher levels of HIV-related knowledge, a better understanding of scientific facts about transmission, and a more empathetic and inclusive approach toward PLWHA. The variation between these groups highlights the crucial role of health literacy, cultural norms, and access to accurate information in shaping community attitudes. The study concludes that reducing stigma requires comprehensive and continuous educational interventions, targeted health promotion, and active involvement of community and religious leaders to build a more supportive environment for PLWHA. Strengthening public understanding is essential to ensure equitable treatment and improve the well-being of those affected by HIV.
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:The rapid advancement of artificial intelligence (AI) offers new opportunities to enhance teaching and learning in early education. This study applies deep learning approaches to support early cognitive development among…
primary students in an Indonesian Islamic school. A hybrid Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) model was designed to analyse students’ cognitive patterns, attention, and engagement. Using a mixed-methods design, the research involved 60 students aged 8–10 at MIS Terpadu Alhijrah Bintuju. The model processed multimodal classroom data to generate adaptive feedback and personalized learning pathways. Results showed significant improvements in attention (+18%), memory recall (+22%), and problem-solving (+25%) after eight weeks of AI-assisted learning. Qualitative findings revealed higher motivation, engagement, and self-regulation. The study demonstrates that culturally aligned AI systems can effectively enhance early cognitive development and promote learner autonomy in Islamic primary education.
Abstract:This study aims to implement the work ethics of government employees in providing public services in Tamalate District based on Law Number 25 of 2009 concerning Public Services. This study uses a qualitative method with…
a case study approach in administrative services in Tamalate District. Data were collected through in-depth interviews with government employees and service users, direct observation of the service process, and analysis of relevant documents. The results of the study indicate that the work ethics of government employees in providing public services is still not optimal. Some employees exhibit unprofessional behavior, such as slow service delivery, lack of empathy towards the public, and low transparency in the service process. However, there are also employees who demonstrate positive behavior, such as providing clear and accurate information, and praying friendly and patient in serving the public. This study concludes that improving the work ethics of government employees is essential through public service ethics training programs, strict supervision, and regular evaluation and monitoring of employee performance. This effort is crucial to ensure public services meet the standards of professionalism, transparency, and accountability as mandated by Law Number 25 of 2009. The results of this study are expected to contribute to improving the quality of public services in Tamalate District and serve as a reference for similar research in the future.
Abstract:This study aims to analyze the application of Feminine Energy among Generation Z female influencers in constructing self-identity on social media. Feminine Energy is understood as an energy that embodies empathy, gentleness,…
ess, and emotional balance, which has become a symbol of women’s empowerment (soft empowerment) in the digital era. This phenomenon is significant as it reflects a shift in the meaning of femininity from physical appearance toward self-awareness and personal authenticity. The research employs a qualitative approach, with data collected through in-depth interviews and observations of social media content produced by influencers who express Feminine Energy values. The analysis draws on Social Identity Theory (Tajfel & Turner, 1979), which highlights the processes of categorization, identification, and social comparison. The findings reveal that the application of Feminine Energy manifests in five key aspects: self-love, confidence, empathetic communication, calm emotional expression, and healthy personal boundaries. Through social processes, influencers internalize these values as integral parts of their personal and digital identities. In conclusion, Feminine Energy is not only a lifestyle but also a social identity strategy used by Gen Z female influencers to build an authentic, empowered, and reflective self-image in the digital space.
Keywords : Feminine Energy, Social Identity, Influencers, Generation Z, Tiktok
Abstract:This study aims to analyze the application of spiritual quality in cupping and ruqyah services and identify strategies for improving spiritual quality implemented at the Soreang Branch of the Bekam Ruqyah Center. The problems…
blems identified were customer dissatisfaction related to limited service space and a less than optimal religious atmosphere that affected comfort during therapy. This study used a descriptive qualitative approach with data collection techniques through in-depth interviews, participant observation, and documentation. While data validity was strengthened by triangulation of sources, methods, and theories with the help of NVivo 12 software and supplemented with a SWOT analysis. The results showed that the implementation of spiritual quality improvement was carried out by the presence of Islamic values, maintaining cleanliness, reciting prayers, and the therapist's empathetic attitude were important factors in fostering a sense of calm and comfort in customers. Implementing strategies for improving spiritual quality through therapist training, implementing SOPs based on Islamic law, and creating a supportive spiritual environment. However, limited service facilities and infrastructure still need to be addressed for improvement. Therefore, this study as a whole confirms that service quality that connects spiritual and physical aspects holistically contributes significantly to customer satisfaction.