Abstract:The emergence of consumer boycotts driven by socio-political issues reflects a fundamental shift in consumer behavior in the digital era. In Indonesia, a country characterized by high religiosity and extensive social media…
ia engagement, the rapid dissemination of negative information through electronic word of mouth (e-WOM) can trigger strong emotional reactions toward brands. Starbucks Indonesia represents a salient case in which the brand became associated with the Israel–Palestine conflict, generating moral debates, religious sentiments, and intense brand-related hostility in digital spaces. In this context, consumers act not merely as rational economic actors, but as moral agents whose purchasing decisions are influenced by deeply held values and beliefs. This study aims to examine the effects of e-WOM and religiosity on purchase intention, with brand hate serving as a moderating variable among Starbucks consumers in Indonesia. Specifically, the research investigates how exposure to negative online narratives and consumers’ religiosity shape emotional responses in the form of brand hate, and how these responses influence purchasing intentions within a boycott context. A quantitative research design was employed using a survey method targeting Starbucks consumers in Indonesia who were aware of the boycott related to the Israel–Palestine conflict. Data were collected through structured questionnaires and analyzed using structural equation modeling to assess both direct and indirect relationships among variables, including the moderating role of brand hate. This approach enables a comprehensive understanding of the psychological and behavioral mechanisms underlying consumer responses to value-laden and morally sensitive issues. The findings reveal that electronic word of mouth has a significant effect on purchase intention. Religiosity also influences purchase intention, both directly and indirectly through the formation of brand hate. Moreover, brand hate significantly moderates the relationship between e-WOM and purchase intention, such that higher levels of brand hate intensify the decline in consumers’ willingness to purchase. These results highlight the critical role of morally driven negative emotions in explaining reduced purchase intention during boycott movements. This study contributes theoretically by extending consumer behavior literature through the integration of digital communication, religiosity, and negative brand emotions within a single conceptual framework. Practically, the findings suggest that global brand managers should adopt culturally and religiously sensitive communication strategies and proactively manage digital narratives to mitigate the escalation of brand hate amid socio-political controversies.
Abstract:This study aims to analyze population dynamics and the challenges of sustainable development in Indonesia from a social, economic, and environmental perspective. Population dynamics, including population growth, urbanization,…
tion, internal migration, and changes in demographic structure, have become determining factors in the success of development. The method used is a qualitative approach with a literature review sourced from official documents, scientific journals, and reports from international institutions. The results show that rapid population growth and uncontrolled urbanization have led to spatial inequality, reduced green open space, pressure on public infrastructure, and increased environmental degradation. Furthermore, unpreparedness in spatial planning and weak integration of population data into development policies exacerbate socio-economic imbalances between regions. The shift in demographic structure toward a predominance of the productive age group presents the opportunity for a demographic bonus, but also the risk of a demographic burden if not balanced by improvements in the quality of human resources. This study emphasizes that successful sustainable development requires data-driven, gender-equitable, environmentally friendly, and participatory population policies. The integration of technologies such as Geographic Information Systems (GIS) and spatial analysis is a strategic step in realizing inclusive, adaptive, and sustainable development for future generations.
Abstract:The principle of legality is a fundamental concept in the Indonesian criminal justice system, ensuring legal certainty and the protection of human rights from arbitrary criminal punishment. However, the rapid development…
of modern crimes often leads to legal gaps or vague norms that require judges to conduct judicial law-finding (rechtsvinding) when resolving criminal cases. This research aims to analyze the position of the principle of legality as a legal limit to judicial authority and examine how far judicial law-finding can be carried out without violating the essential principles of criminal law. This study employs a normative legal research method with a statute approach, conceptual approach, case approach, and historical approach. The results demonstrate that the principle of legality plays a crucial role in restricting judicial interpretation to prevent the creation of new offenses that may harm defendants and to ensure punishment can only be imposed based on pre-existing laws. Nonetheless, judicial law-finding remains necessary to address contemporary crimes that are not yet regulated under statutory law. Therefore, a proportional balance between legal certainty and substantive justice is required so that the principle of legality and judicial law-finding can work synergistically within Indonesia’s criminal justice system.
Abstract:The CCTV industry continues to grow rapidly and is projected to reach a global market value of USD 75 billion by 2025. Amid strong competition from international players such as Hikvision and Dahua, PT Telkom Indonesia seeks…
eeks to strengthen the position of its Antares Eazy CCTV product in the B2B market. This study analyzes the determinants of Purchase Intention toward Antares Eazy using the PLS-SEM approach, focusing on Service Quality, product quality, Pricing, Trust, and Brand Awareness as a moderating variable. Data were collected from 47 companies that use or potentially use CCTV solutions. The findings demonstrate that Service Quality, product quality, and Pricing exert significant effects on Trust, which subsequently influences Purchase Intention. Brand Awareness reinforces this relationship. The findings highlight the need for improved after-sales service, product enhancement, and more competitive Pricing strategies to strengthen Antares Eazy’s competitiveness in the B2B CCTV market.
Abstract:This research develops the PRIDE Framework to integrate five interdependent dimensions, People (People-Centric Excellence), Resilience, Innovation, Development, and Empowerment, into a unified model explaining how HRM practices…
actices drive both sustainability and agility. A systematic literature review guided by PRISMA principles was conducted, selecting peer-reviewed empirical and conceptual studies that examine HRM, organizational agility, and sustainability. Thematic synthesis and reflexive analysis produced a circular puzzle architecture representing these dimensions and their interconnections. Findings reveal that integrated people-centric policies, robust knowledge management, embedded innovation practices, continuous learning, and distributed decision-making create synergistic capabilities that enable rapid adaptation while maintaining long-term viability. Critical enablers include psychological safety, holistic wellness initiatives, adaptive learning programs, and outcome-based empowerment. The framework addresses gaps by showing sustainability and agility as complementary imperatives rather than competing priorities. Future research should validate the framework through multi-level and longitudinal studies, incorporate diverse language sources for broader context, and explore the impacts of AI-enabled HRM on each dimension. Limitations involve temporal and linguistic scope.
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:The rapid advancement of Artificial Intelligence (AI) presents both opportunities and challenges for elementary education. Teachers play a strategic role in preparing young learners to understand and adapt to technology…
critically, creatively, and ethically. This study aims to analyze the role of elementary school teachers in integrating AI concepts through simple coding activities, as well as to identify the strategies and challenges encountered during implementation. The research employed a qualitative descriptive approach, using interviews, classroom observations, and document analysis as data collection techniques.
The findings reveal that teachers serve as digital learning facilitators, innovators in designing coding-based learning activities, and ethical guides who help students use technology responsibly. Simple coding activities effectively foster students’ logical thinking, creativity, and digital collaboration skills. However, limited technological infrastructure and insufficient teacher training remain major obstacles to sustainable implementation. Therefore, systemic support through educational policy, professional development, and adaptive curriculum design is essential.
Integrating AI concepts through simple coding in elementary schools not only enhances digital literacy but also cultivates ethical awareness and social responsibility toward technology. With collaborative support from educators, institutions, and policymakers, elementary education can become a foundational stage for shaping a generation that is intelligent, creative, and morally grounded in the era of artificial intelligence
Abstract:The development of Artificial Intelligence (AI) technology is currently progressing very rapidly and has had a major influence on various sectors, including the education sector, offering great potential in compiling engaging…
aging and relevant teaching materials. However, teachers still face challenges related to limitations in time, energy, technological understanding, and the accuracy of AI-generated content. Findings from the analysis show that AI has a significant capability to support teachers in designing learning materials relevant to student needs, as well as testing the accuracy of AI-generated content related to the learning material. Using a non-participant observation method, data was collected through social media, unstructured interviews with lecturers, teachers, and the general public, as well as testing the content of AI platforms such as ChatGPT, Gemini, and Meta AI. This research uses a descriptive qualitative approach to analyze the data. The study's findings reveal that artificial intelligence has a significant capacity to support educators in designing learning materials, while also optimizing time productivity and teaching innovation. However, the accuracy of AI content, although quite high for basic concepts, often does not include specific sources or references, thus requiring manual verification by teachers. The main challenges include a lack of training and technological understanding. It is recommended that teachers undergo AI training and always verify AI content with trusted sources.
Abstract:Stroke is a condition in which brain function is rapidly disrupted and lasts for more than 24 hours due to an interruption of blood flow to the brain. Globally, the incidence and morbidity rates of stroke continue to increase.…
rease. The quality of life of acute and chronic stroke patients is influenced by post-stroke depression. Community resources (CR) and spiritual religious coping (SRC) factors are also related to the coping adaptation strategies of family caregivers for members who have experienced a stroke. Patients who experience post-stroke depression show a lower quality of life one year after stroke compared to those who do not experience it. This study is a quantitative research with an observational study design. The study was conducted from January to March 2024 in Kotamobagu City. The total population of stroke patients distributed across seven community health centers in Tomohon City is 200 patients. The sample was taken using total sampling method consisting of 200 family caregivers. The results were then analyzed using the Chi Square test with SPSS. All variables were significantly related to the coping adaptation strategies of family caregivers for members who had a stroke. Community resources (CR) were significantly related to caregiver coping strategies (p = 0.025), and spiritual religious coping (SRC) was also significantly related to coping strategies (p = 0.032). Community resources and spiritual religious coping among family caregivers of post-stroke patients are needed to increase motivation and reduce caregiver stress..
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.