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This study aims to analyze the effect of service personalization, active communication, and digital social image on customer satisfaction at GleamingShoess, a shoe cleaning service business in Surabaya. The study used a quantitative method with a survey approach, where data was collected through questionnaires to GleamingShoess customers. Data analysis was carried out using multiple linear regression to test the effect of each independent variable on customer satisfaction with a sample of 100 respondents and using SPSS 26. The results showed that Service Personalization (X1) had a positive and significant effect on GleamingShoess customer satisfaction (Y), Active Communication (X2) had a negative and insignificant effect on GleamingShoess customer satisfaction (Y) and Digital Social Image (X3) had a positive and significant effect on GleamingShoess customer satisfaction (Y). This indicates that a service strategy that focuses on individual needs, responsive interactions, and a strong brand image on social media can increase customer satisfaction. This study provides practical implications for service business actors, especially in building customer loyalty through a digital approach and more personal communication. Keywords: service personalization, active communication, digital social image, customer satisfaction, GleamingShoess.

This study aims to analyze the relationship between marketing strategies and customer satisfaction on e-commerce platforms in Indonesia. Effective marketing strategies are essential in facing intense competition in the digital world, especially in enhancing customer satisfaction, which influences loyalty and business sustainability. This research uses a quantitative survey approach involving 100 active users of Shopee and Tokopedia platforms. Data were collected through questionnaires and analyzed using descriptive statistics, Pearson correlation, and simple linear regression. The results indicate a positive and significant relationship between marketing strategies and customer satisfaction, with a correlation value of 0.673 and a contribution of 45.3%. Digital promotions, personalized services, and loyalty programs are key factors in improving customer satisfaction. However, customer service aspects require more attention to support overall satisfaction. This study implies that e-commerce platforms must continuously develop integrated marketing strategies alongside quality service improvements to maintain and enhance customer satisfaction.

The use of Artificial Intelligence (AI) in education offers significant opportunities to transform learning processes, including in Catholic Religious Education (CRE) at the senior high school level. This article aims to identify effective and ethical strategies for integrating AI into CRE instruction by considering Catholic faith values and students’ character development. The study uses a qualitative literature review approach to analyze scholarly sources and current practices of AI application in education. Findings indicate that AI can enhance personalized learning, provide real-time feedback, and create more interactive and context-rich learning experiences. Practical implementations such as adaptive learning systems, chatbots, and AI-based simulations have shown positive impacts on students' comprehension. However, challenges including teacher readiness, technological infrastructure, and ethical concerns must be addressed seriously. Therefore, integrating AI in CRE must be done thoughtfully, responsibly, and in harmony with religious and moral contexts. With careful planning, AI can become a valuable tool to deepen students' faith understanding and support holistic character formation in the digital age.

The skin and hair care industry has experienced rapid growth in recent years. As the digital ecosystem becomes more established, various local products have the opportunity to emerge and exist in the market. Among the local products that have just emerged and found a place in the hearts of consumers is Lavojoy. Research on digital marketing strategies for imported products has been carried out very often, while for local products, especially skin and hair care products, has not been done much. This study aims to analyze Lavojoy's digital marketing strategy in increasing consumer loyalty. The research was conducted using a descriptive qualitative approach. Research data were obtained from the results of digital observations and data searches in various popular site databases related to the research problem. The results of the study show that the digital utilization strategy allows Lavojoy to build a loyal customer community through interactive content, collaboration with influencers, and active engagement through live and polling features. Two-way interactions carried out on Instagram, TikTok, and YouTube have a significant impact on brand awareness and customer emotional attachment to the brand. In addition, e-commerce optimization carried out through exclusive promo strategies, cashback, loyalty programs, and live shopping features has succeeded in increasing customer retention and encouraging repeat purchases. To increase the effectiveness of digital marketing strategies in the future, Lavojoy is advised to increase personalization in digital marketing by utilizing artificial intelligence (AI) and customer data analysis to offer a more personalized shopping experience, as well as developing content and product recommendations tailored to each customer's preferences, both through social media and e-commerce.

This study aims to examine the role of biomechanics in preventing injuries in karate athletes through a systematic review. The research method follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework with a literature search in the Science Direct database, Google Scholar, and the use of tools such as VOSviewer and Publish or Perish. Studies that met the inclusion criteria (10 articles) were analyzed to identify injury patterns, biomechanical factors, and prevention strategies. The results showed that the most common injuries in karate athletes were contusions, calf muscle strains, and finger sprains, which were related to force distribution, extreme joint angles, and postural control. Biomechanical analysis (motion capture, EMG, force plate) proved that technique correction, proprioception training, stabilizing muscle strengthening, and balance training could reduce the risk of injury by up to 20%. Significant differences were found between novice and elite athletes in terms of movement consistency and neuromuscular control. The integration of biomechanical principles with karate philosophy (mushin, zanshin, kime) was also emphasized to maintain a balance between performance and cultural values. Limitations of the study include heterogeneity of measurement instruments and potential publication bias. Future recommendations include longitudinal studies, development of portable devices (IMUs), and personalization of training programs based on individual biomechanical profiles

Artificial Intelligence (AI) can be a transformational tool in Christian Religious Education in the digital era. Technological advancements bring significant changes to the way we learn and teach, including religious education, which demands innovative methods to remain relevant to the younger generation increasingly connected to technology. AI offers various opportunities to enrich the learning experience and deepen the understanding of Christian values through a more personal and interactive approach. This article discusses several AI applications in Christian religious education, such as virtual assistants for spiritual guidance, in-depth Bible text analysis, and adaptive learning platforms that can tailor materials to the needs of learners. With AI technology, Christian religious education can provide more interactive and responsive modules, allowing learners to delve into religious teachings both individually and in groups. Additionally, the use of AI in analyzing learning behavior allows for more effective curriculum personalization according to the spiritual needs of each individual. This approach can address the challenge of maintaining the relevance of religious values amidst the rapid influx of digital information. This article also examines the potential of AI in aiding faith development, for example through spiritual reflection applications tailored to the user's spiritual growth. This transformation is expected to prepare a generation of Christians who are not only technologically savvy but also spiritually strong, and empowered to face moral and ethical challenges in the future. Thus, AI-based Christian Religious Education can be a pathway to building a relevant and dynamic spiritual future in the digital era.

Digital transformation is one of the essential needs in the development of sharia cooperatives in the Industrial Revolution 4.0 era. Rapidly developing information technology requires microfinance institutions such as cooperatives to adapt, in order to remain competitive, efficient, and relevant in meeting the needs of their members. Two main technologies that play an important role in this transformation are big data and cloud computing. This article aims to examine in depth how the use of big data and cloud computing can support the digital transformation process in sharia cooperatives. Using a literature review approach from various scientific sources, this article analyzes the basic concepts, potential benefits, case studies, and challenges of implementing both technologies in the context of sharia-based cooperatives. The results of the study show that big data can improve data-based decision making, risk management efficiency, and personalization of services to members. Meanwhile, cloud computing provides flexibility, cost efficiency, and accessibility of cooperative information systems widely, even in areas with minimal IT infrastructure. However, the success of implementing this technology is greatly influenced by the readiness of human resources, digital infrastructure, and compliance with sharia principles. This article also provides practical recommendations and a further research agenda as a contribution to the development of technology-based sharia cooperatives.    

The continuous evolution of technology has significantly transformed the way humans interact with computers, moving beyond traditional keyboard and mouse inputs toward more natural and adaptive interfaces. This literature review examines the current and emerging trends in user interface (UI) development within the context of Human-Computer Interaction (HCI), with a specific focus on future-oriented innovations. Key areas of discussion include voice-user interfaces (VUIs), gesture-based interaction systems, adaptive and context-aware UIs, artificial intelligence (AI) integration, and neuroadaptive technologies. The study employs a qualitative analysis method, drawing upon scholarly publications from 2020 to 2025 and emphasizing the contributions of researchers from Universitas Islam Negeri Sumatera Utara, particularly M. Khalil Gibran. These technologies are assessed for their usability, accessibility, efficiency, and their ability to enhance user satisfaction through personalization and contextual awareness. Results from reviewed studies suggest that adaptive and AI-driven UIs are becoming essential in delivering personalized user experiences

This study analyzes the influence of information technology (IT)-based learning models on the learning outcomes of Christian Religious Education (PAK) students. In the digital era, PAK is required to adapt in order to shape the character and spirituality of students. Using a qualitative literature study of the literature, it was found that models such as e-learning, blended learning, AI, interactive multimedia, and advanced LMS significantly improve learning outcomes. This improvement is driven by the flexibility of material access, motivation via interactivity and personalization, global collaboration, and the development of digital literacy and Christian ethics. Despite infrastructure and competency challenges, the strategic implementation of IT learning models has been proven to transform the PAK learning process, contributing to improving students' cognitive, affective, and psychomotor achievements.

This study investigates how artificial intelligence (AI) is transforming Islamic journalism and digital da’wah by analyzing the ethical challenges posed by algorithmically mediated media. Employing a critical-interpretive approach, the research examines how algorithmic logic impacts the production, visibility, and ethical dimensions of Islamic content on platforms such as YouTube and TikTok. The findings reveal a growing tension between Islamic communication principles—sidq (truth), amanah (trust), and hikmah (wisdom)—and the operational values of AI systems that prioritize virality, personalization, and engagement metrics. This paper contributes to global discourse by proposing a hybrid ethical framework that bridges Islamic communication ethics with digital media accountability. It argues for an integrative model where spiritual integrity, transparency, and justice guide the development and use of AI in Islamic media contexts.  

This research discusses the integration of Artificial Intelligence (AI) in Arabic language learning with a focus on personalizing teaching materials according to learner needs. The background of this research is based on the challenges in teaching Arabic which include the diversity of students' backgrounds. The research was conducted with a descriptive qualitative approach through observation, interview, and documentation study of the AI platform. The results show that AI is able to analyze students' strengths and weaknesses, provide adaptive content, and increase learning motivation. This study concludes that AI can be an effective tool in supporting more personalized and relevant Arabic language learning. Recommendations include teacher training, gradual adoption of technology, and development of local AI-based platforms.

In the face of an increasingly competitive landscape, culinary MSMEs in Indonesia are required to not only offer quality products, but also create interactive and emotional consumer experiences. This study aims to investigate the mediating role of loyalty programs in influencing the relationship between gamification and relationship marketing on Gen Z consumer loyalty. Using a quantitative approach through online questionnaire distribution to 385 Gen Z respondents on social media, the results show that both gamification and relationship marketing have a significant direct influence on consumer loyalty, as well as an indirect influence through the mediation of loyalty programs. The findings confirm that the integration of gamification elements-such as challenges, point systems, and leaderboards-in loyalty programs can generate intrinsic motivation that strengthens consumers' emotional engagement. Meanwhile, a relationship marketing approach based on trust and personalization encourages long-term commitment. This research extends the application of the Commitment-Trust and Self-Determination theories in the digital-native context, and makes a conceptual contribution to the strategic design of experiential loyalty programs for culinary MSMEs targeting Gen Z consumers. The practical implication is that business owners need to build a loyalty ecosystem that is not only functional, but also fun and emotionally meaningful.

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

This research uses a qualitative method to explore the integration of Artificial Intelligence (AI) in marketing tactics and its impact on the development of marketing skills among the new generation. The main focus is on the use of AI in analyzing consumer behavior, content personalization, campaign automation, and data-driven decision-making. The findings reveal that AI not only enhances operational efficiency but also drives a transformation in the skill sets required by modern marketers, such as data analysis capabilities, technological literacy, and adaptability to intelligent systems. Through in-depth interviews with marketing practitioners and digital document analysis, it was discovered that the new generation of marketers is required to develop more complex digital competencies and engage in multidisciplinary collaboration. Furthermore, adaptation to technological change becomes a key factor in the success of AI-based marketing strategies. The integration of artificial intelligence in marketing practices not only reshapes work patterns but also creates new demands for continuous training and marketing education. Therefore, this research emphasizes the importance of collaboration between educational institutions, industry, and technology developers to create a competitive AI-based marketing ecosystem.

The development of Artificial Intelligence (AI) technology in the education sector has undergone major changes. These changes bring great opportunities to change the learning process to be more personal, effective, and inclusive. The purpose of this journal is to analyze the potential and challenges that need to be faced in the application of AI in education so that it can run optimally. The method used in this study is the literature review method of various recent studies that discuss the use of AI in education, The results of the study show that AI has great potential to improve the personalization of learning and educational efficiency. However, there are number of significant challenges, such as limited infrastructure, privacy and data security issues, resistance from educators and students, and the digital divide that still occurs in several regions. Therefore, a strategy is needed that includes a academic laziness that reduces learning motivation, constraints on AI contextual knowledge, Inability to process complex information, loss of literacy skills, amd the risk of addiction to AI technology. With a planned and sustainable strategy, AI has great potential to improve the quality of national education and also reduce the dangers that may arise from the modern technological era.

The development of artificial intelligence (AI) has significantly changed the digital advertising landscape. However, consumer trust in the use of AI in digital advertising is a crucial issue to understand. This study aims to analyze the influence of perceived intelligence, transparency, and personalization of AI-based advertising on consumer trust levels. Using a quantitative approach through a survey of 500 respondents who are active social media users in Indonesia, the data were analyzed using Structural Equation Modeling (SEM). The results of the study indicate that perceived intelligence and transparency have a significant positive influence on consumer trust, while personalization has a moderate influence. These findings provide theoretical contributions to the digital marketing literature and provide practical guidance for marketers in designing AI-based advertising strategies that are trusted by consumers.

The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual shopping assistants can enhance customer loyalty, sales conversion, and consumer satisfaction in online marketplaces. Using a mixed-method approach involving in-depth interviews and quantitative surveys, the research identifies consumer perceptions of this technology and its impact on their purchasing decisions. Findings reveal that consumers who engage with AI-powered virtual shopping assistants report more personalized and satisfying shopping experiences, contributing to increased loyalty and sales conversion for e-commerce platforms. This article provides practical insights for marketplace managers to optimize the use of AI in creating more personalized and responsive shopping experiences. Furthermore, this research opens opportunities for further exploration of AI integration across various digital shopping channels.

Technology-driven Islamic propagation (da’wah) has emerged as a transformative paradigm in disseminating religious teachings in the digital age. The rapid advancement of social media platforms and artificial intelligence (AI) tools has significantly expanded the reach and influence of preachers, enabling more personalized and interactive engagement with diverse audiences. This study aims to explore innovative strategies in planning digital da’wah and to examine the challenges that arise, including the proliferation of misinformation, regulatory constraints, and the rise of underqualified digital preachers. Employing a qualitative approach through literature review and critical analysis of prior studies, this research highlights the potential of integrating data analytics, AI-based personalization, and digital media to enhance the effectiveness of Islamic messaging. However, it also underscores the pressing need for ethical frameworks and regulatory compliance to safeguard the integrity of religious content. The findings advocate for a structured, research-informed approach to digital da’wah that aligns with Islamic ethical principles while remaining adaptive to contemporary technological trends. Such an approach is essential to ensure that technological innovations serve as tools for meaningful religious engagement rather than sources of distortion or misinterpretation

This research presents a personalized, context-aware recommender system to suggest Places of Interest (POIs) using a hybrid approach combining Bayesian inference and collaborative filtering. The system explicitly addresses the cold-start problem that new users face and improves recommendation accuracy by considering contextual variables such as user mood, budget, companion, and location. The system collects real-time contextual inputs for new users with no historical data and applies Bayesian inference to generate relevant POI suggestions. As users begin to interact and provide ratings, the system progressively shifts to a collaborative filtering mechanism, leveraging cosine similarity to identify similar users within comparable contexts. The recommender system focuses on three categories of POIs: restaurants, hotels, and landmarks. These locations are retrieved through the Google Maps API, and only mapped locations are considered. The system was implemented on Android devices and evaluated through a user study involving 25 participants from diverse backgrounds, including software developers, IT students, and general users. Evaluation metrics such as normalized Discounted Cumulative Gain (nDCG) and classification accuracy were used to assess recommendation quality. Results demonstrate that the system performs better than traditional methods, with nDCG improvements reaching up to 83 percent. Users reported high satisfaction regarding the recommendations' accuracy, ease of use, and contextual relevance. While the system offers significant improvements, it also has certain limitations. Its dependency on Google Maps data may restrict its scope, and using only four contextual factors limits the system’s adaptability to more complex user preferences. Future enhancements could include additional dynamic contexts such as weather, POI popularity, and time-related trends, as well as integrating more advanced models to increase personalization and flexibility in real-world applications.

Bouquets have evolved from mere flower arrangements into a work of art that combines elements of aesthetics, creativity, and innovation. This study aims to examine bouquets as an art form by highlighting aesthetic elements, arrangement techniques, and their role in the creative industry. The method used in this study is descriptive qualitative with a literature study approach from various relevant journal references and articles. The results of the study indicate that bouquets not only have aesthetic value but also reflect artistic expression through the selection of colors, shape compositions, and various arrangement techniques. Innovations in making bouquets, such as the use of flannel, snacks, and recycled materials, are expanding the scope of bouquet art in the creative industry. In addition, bouquet art also contributes to the development of the community's economy through increasing business opportunities. Although bouquet art faces challenges such as market competition and fluctuations in raw material prices, its prospects remain promising with the development of technology and product personalization trends. Therefore, continuous innovation is needed so that bouquet art remains relevant and can continue to develop as part of the wider creative industry.