Abstract:This study investigates how Word of Mouth, service quality, and brand image influence B2B customer loyalty at As-Syifaa Pharmacy in Majalengka, with customer satisfaction acting as a mediating variable. A quantitative approach…
proach was applied using the SEM-PLS method, drawing on data from 300 purposively selected customers. The analysis included measurement of validity and reliability, followed by structural model testing to identify both direct and indirect relationships among variables. The findings reveal that Word of Mouth, service quality, and brand image each play a meaningful role in enhancing customer satisfaction, which in turn becomes the strongest predictor of customer loyalty. Satisfaction was also found to mediate the effects of the three antecedent variables, either fully or partially, highlighting its central role in shaping long-term business relationships. These results indicate that building B2B customer loyalty requires more than consistent operational performance; it also depends on maintaining a credible brand reputation and fostering positive relational communication within the business network. Based on these insights, the study recommends strengthening service standards, reinforcing brand consistency, and managing interpersonal communication to support sustainable loyalty among B2B partners.
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:This study examines the ethical and pedagogical implications of deep learning integration in fourth-grade classrooms at SDN 100801 Pasar Sempurna, Indonesia. Through classroom observations, semi-structured interviews with…
h teachers, and document analysis, the research found that deep learning applications significantly improved student engagement and individualized learning outcomes. However, ethical concerns emerged regarding data privacy, unequal access to digital tools, and limited teacher preparedness. Teachers expressed uncertainty in balancing technological autonomy with moral and pedagogical control. The study concludes that while deep learning supports more adaptive and inclusive learning environments, its ethical implementation remains constrained by insufficient institutional policies and digital literacy. Strengthening teacher competence and establishing transparent ethical frameworks are crucial for ensuring responsible AI integration in primary education. These findings provide practical insights into balancing innovation and ethics in early educational contexts.
Abstract:This study investigates the impact of Continuous Professional Development (CPD) on shifting teacher beliefs and classroom practices in STEM education at SDN No. 100710 Hapesong Baru.. The research aimed to explore how sustained…
stained professional learning experiences contribute to teachers’ pedagogical transformation from content transmitters to learning facilitators. Employing a qualitative case study design, data were collected through classroom observations, semi-structured interviews, and document analysis involving four STEM teachers who participated in a year-long CPD program. The findings reveal that CPD fostered significant changes in teachers’ beliefs toward student-centered learning and encouraged more interactive, inquiry-based classroom practices. However, challenges such as limited institutional support and resource constraints still hindered full pedagogical implementation. The study highlights the importance of contextualized CPD programs in developing reflective and adaptive STEM educators, offering insights for policymakers and practitioners seeking to enhance teacher professionalism in developing-country contexts.
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:PT Telkom Indonesia, as the largest telecommunications company in Indonesia, has implemented Jira within its Digital Business and Technology Division as a primary project management tool to support collaboration, task organization,…
ganization, and project monitoring. This study focuses on three key independent variables individual competence, organizational culture, and training and development which are considered essential elements in improving human resource quality. These factors directly influence team capability as a mediating variable, which in turn affects employee performance as the dependent variable. The research was conducted through a survey of 146 respondents from the Digital Business and Technology Division of PT Telkom Indonesia. The findings are expected to provide strategic insights for optimizing the use of project management tools to enhance employee performance, ensuring that their implementation aligns with team characteristics, organizational culture, and technical readiness.
Abstract:The fundamental problem in a village, including villages in Sungai Raya Kepulauan, especially on Lemukutan Island, is the issue of village development planning. This community service aims to engage in direct dialogue and…
d strengthen a sense of togetherness by giving gifts to the community. The implementation method of this community service is direct dialogue to provide insight into village planning. The results of the community service show that there has been an increase in solidarity between the implementation team and the village community. This solidarity is reflected in the participatory interaction between the TeamTeam and the residents. This activity not only provides indirect insights to the village community but also fosters awareness and a spirit of cooperation among the community to take an active role in the development of their region.
Abstract:Urine alcohol testing plays a vital role in detecting alcohol consumption for clinical and forensic purposes, yet its results may be influenced by pre-analytical factors such as the delay between sample collection and laboratory…
boratory analysis. This study aimed to evaluate the effect of delay time before urine examination on alcohol concentration. An experimental One-Shot Case Study design was conducted involving 44 participants in Denpasar who had consumed alcohol. Alcohol concentration was measured immediately, after a 2-hour delay, and after a 4-hour delay using the Alcohol Urine Rapid Test Dipstick Allchek, and the data were analyzed using the Kruskal-Wallis test. The findings showed that average urine alcohol levels increased numerically after a 2- and 4-hour delay compared to immediate testing; however, this change was not statistically significant (p=0.131). These results confirm that delaying urine alcohol examination up to 4 hours does not significantly alter detectable alcohol concentrations, although prompt testing is still recommended to ensure result accuracy and minimize the risk of false positives. This study provides important insights for the development of standard operating procedures regarding urine alcohol analysis in laboratory practice.
Abstract:This study aims to analyze the implementation of Buddhist spiritual leadership in the Indonesian Buddhayana Council (MBI) of Lampung Province. Spiritual leadership in Buddhist teachings emphasizes the values of compassion,…
n, wisdom, exemplary behavior, and selfless service. The research method employed a qualitative approach, phenomenology, with data collection techniques through in-depth interviews, observation, and documentation studies. This research was conducted with the leadership of the MBI of Lampung Province. The results indicate that leadership in the MBI of Lampung Province, through an understanding of Buddhayana values and humanistic Buddhism, maintains internal organizational harmony, increases congregation participation, and strengthens the socio-religious role. However, challenges arise in the form of limited in-depth understanding of spiritual values and administrative pressures that can shift the focus of leadership. In conclusion, Buddhist spiritual leadership in the MBI of Lampung Province is relevant for adaptation as an organizational management model that combines spiritual values and managerial effectiveness.
Abstract:In today's digital era, revitalizing the hospitality industry through technological innovation is crucial for enhancing competitiveness and improving customer experience. By gaining a deeper understanding of customer needs…
ds and developing service innovations, hotels can deliver more personalized and satisfying experiences. This shift in vision toward better customer service underscores the need for continued research on the paradigm shift within the hospitality sector. This study aims to observe and explore changes in the hospitality industry, with the goal of identifying paradigm evolutions and their contributions to service efficiency and quality. The research is expected to offer new insights into the dimensions of customer experience and internal operations that require rethinking, while also identifying cohesive strategies to integrate digital and physical elements. Furthermore, it analyzes the impact of hotel development control policies, management strategies, and technological innovations, thereby contributing both theoretically and practically to the development of the hospitality industry in Yogyakarta in response to the challenges of digital transformation.