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Raprock United Bali is an important music community that plays a significant role in preserving and promoting the rap rock genre in Bali. Since its formation in 2015, this community has served as a platform for musicians and rap rock enthusiasts to create, collaborate, and maintain the genre's presence amid shifting musical preferences within society. This study aims to analyze the role of Raprock United Bali within the cultural, social, economic, educational, and legal ecosystems, as well as the community's strategies for addressing various challenges. Using a descriptive qualitative method, data was collected through interviews with community members and literature analysis. The research findings indicate that Raprock United Bali has a strong cultural ecosystem through regular activities such as RAPROCK NIGHT and the production of the compilation album “ROKIN RAPROCK,” supported by local sponsors. In the social ecosystem, this community strengthens solidarity among members and builds connections with audiences through music events that also impact the local economy. Additionally, the community contributes to knowledge transfer and musical skill development, making it an informal educational platform for its members. Awareness of copyright protection and licensing regulations is also a crucial aspect of the community's legal sustainability. In conclusion, Raprock United Bali is not only a driving force in the music scene but also creates a significant impact on Bali's cultural ecosystem and society, making it an inspiring model for other art communities in Indonesia.

The development of the digital ecosystem has disrupted the transportation sector. Traditional transportation businesses have shifted to online transportation. This study aims to analyze Blue Bird's strategy in facing the ride-hailing disruption in Indonesia. The research was conducted using a descriptive qualitative approach. The data was sourced from digital searches and observations. The results show that the digital transformation implemented by PT Blue Bird Tbk has improved operational efficiency and competitiveness in the highly competitive transportation market. The My Blue Bird application, with real-time tracking and cashless payment features, has streamlined the booking process and strengthened customer loyalty. The data indicates an increase in app usage and a reduction in operational costs, supporting the effectiveness of the company's digital strategy. Strategic collaboration with ride-hailing platforms has also significantly contributed to market expansion and increased fleet occupancy. The success of this strategy is reflected in the rise in booking volume and overall customer satisfaction. As a further step that has not been fully implemented, it is recommended that Blue Bird explore the application of AI-based predictive models to optimize fleet scheduling and route dynamics. The use of this technology can provide more accurate demand forecasts and support strategic decision-making in resource allocation. Additionally, the development of a customer feedback system integrated with digital analytics will allow the company to respond to consumer trends and preferences more effectively. These measures, supported by enhanced digital infrastructure and cross-sector collaboration, are expected to further boost Blue Bird's efficiency and growth in the digital disruption era.

Millennials and Generation Z have made coffee shops a part of their lifestyle. Unlike previous generations, who spent more time at malls. In response to the changing consumer behavior of these different generations, digital marketing strategies have become an effective approach for businesses, including those in the coffee industry. This study aims to analyze Fore Coffee's digital marketing strategies in attracting Millennial and Gen Z consumers. The research was conducted using a descriptive qualitative approach. The research data was sourced from observations of Fore Coffee's digital marketing activities on various social media platforms, as well as in-depth interviews with consumers from the Millennial and Gen Z generations. The results of the study indicate that the digital marketing strategies implemented by Fore Coffee have proven to be an effective approach in attracting attention and building engagement with Millennial and Gen Z consumers. The success of these strategies is supported by the utilization of various digital marketing elements, including the presentation of engaging and interactive content, collaborations with influencers who have credibility in the coffee industry, and the use of video as the primary medium for marketing communication. The Tani Series campaign, which highlights sustainability and the involvement of local coffee farmers, is a concrete example of how Fore Coffee builds a brand image that not only sells products but also has strong social value. Additionally, the collaboration with Mikael Jasin, a professionally recognized barista at the international level, further strengthens Fore Coffee's trust and appeal among young consumers. This study suggests that Fore Coffee should continue to innovate in creating content that is not only engaging but also has strong differentiating value. Furthermore, the dynamic changes in consumption trends and customer preferences demand that Fore Coffee be more responsive in adapting its marketing strategies to remain relevant to the needs and expectations of Millennial and Generation Z consumers.

This study aims to determine the extent to which the social environment influences the tendency of students' career choices. The approach used is quantitative, with the analysis method in the form of multiple linear regression. A total of 150 active students from Nurul Huda University, East OKU acted as respondents in this study. Data collection was carried out through the distribution of closed questionnaires designed with a Likert scale, covering several main indicators such as the influence of family, friendship environment, and the role of educational institutions. The results of the analysis showed that the three aspects of the social environment had a significant influence on students' career preferences, with the influence of family factors as the most dominant. The conclusion of this study states that students' career choices are not only influenced by internal motivation, but also determined by the social environment in which they interact. Therefore, active involvement from family, educational institutions, and the surrounding environment is very important in supporting students' career direction optimally.

Demographic changes and the acceleration of digital transformation have presented new challenges in leadership practices, especially in the healthcare sector of ASEAN countries. Generation Z, who grew up in a digital environment, brings different values and preferences to leadership styles. This study aims to identify the leadership model that best suits the characteristics of Gen Z in the context of healthcare, as well as analyze the contextual factors that influence it in the Southeast Asian region.This study uses a qualitative approach based on literature studies from various academic publications and empirical findings in ASEAN countries. Data are analyzed thematically to reveal the leadership patterns that are most relevant to the needs of Gen Z in the health sector.The study results show that transformational, participatory, and digital-based leadership styles are more effective for leading Gen Z healthcare workers. This generation rejects leadership models that are tightly controlled or micromanaged, and prefers leaders who support autonomy, collaboration, and innovation. Local cultural factors, such as traditional values and social collectivity, also reinforce the importance of adapting leadership styles to diverse cultural contexts. Leadership success is also greatly influenced by the leader's ability to bridge cross-generational differences and manage communication effectively.These findings contribute to the development of a generationally and contextually relevant leadership model, as well as serve as a reference in formulating HR development strategies and leadership training programs in multigenerational health organizations in Southeast Asia.

Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined in the previous research, despite the significant advancements in this area of research. Furthermore, previous research has rarely synthesized how these technical components help students choose appropriate courses and careers. This systematic review was carried out to investigate the current state of machine learning-based course and career recommender systems, focusing on key elements, such as primary data sources, feature engineering methods, algorithms, optimization techniques, evaluation metrics, and the environments where the existing course recommendation models are deployed. The PRISMA method for conducting a systematic review was used to choose studies that met the requirements for inclusion and exclusion. The study findings show significant reliance on interpretable and traditional machine learning algorithms, such as K-Nearest Neighbor and Random Forest, to develop recommender models. Feature engineering remains basic, as most studies rely on normalization, while optimization processes are often underreported. Also, evaluation metrics varied widely, impeding comparability, while most of the recommender models are deployed in an e-learning environment, leaving the traditional learning environment underrepresented. Furthermore, the study findings identified issues including data sparsity and diversity, data security and privacy, and changes in learner preferences that may have an impact on the performance of recommender systems while recommending further studies to make use of standardized optimization methods, and automated domain-informed feature engineering frameworks, benchmark and annotated datasets in developing models the gives priority to learners’ success and educational relevance.

The church is called to bring about the harmony and unity of Christ in a divided world. However, internal conflict often arises from theological differences, leadership styles, cultural preferences, and interpersonal issues. Conflict that is not managed wisely can damage the integrity and witness of the church. This study uses a library research method and finds that harmony is an active process that requires dialogue, openness, acceptance, mutual respect, and love. The roots of church conflict are addressed through loving communication (Matthew 18), biblical mediation and negotiation training, cultivating a culture of forgiveness and reconciliation, and transparent and integrity-based leadership. Although challenges such as ego exist, the power of the gospel, the Holy Spirit, and the potential for growth offer great opportunities. A reconciling church is a powerful testimony of Christ's reconciling love.

Kripjungan MSMEs faces challenges in effectively utilizing Instagram as a digital marketing tool, with content that is often irrelevant, unappealing, and inconsistent with the brand identity, leading to reduced engagement and limited business growth potential. This study aims to evaluate and provide recommendations to improve the quality of Kripjungan's Instagram content using the eight pillars of content marketing from Kingsnorth. The evaluation results indicate that the content frequently does not align with audience interests, lacks variety, and is insufficiently informative or engaging to enhance user engagement or be widely shared. The recommendations include aligning content with audience preferences, enhancing credibility through more comprehensive information, employing varied visuals, and maintaining consistency with the brand identity to strengthen relationships with the audience and support the growth of Kripjungan's business.

The thrift fashion trend is a phenomenon of buying used clothes that are still wearable, either through physical stores, bazaars, or online platforms that are now popular among young people, especially Gen Z. This study uses a quantitative research method with a descriptive research type that aims to analyze the influence of brand preferences, lifestyle, and prices and the interaction of the three on purchasing decisions on the thrift fashion trend among generation Z at UNTAG Surabaya. The population in this study were Generation Z students of the University of 17 August 1945 Surabaya who had made purchases and followed the thrift fashion trend with a slovin sample formula of 100 respondents and determined using a non-probability sampling technique. The data processing technique in this study used SPSS. Data was collected through an e-questionnaire via a google form that included the variables Brand Preference, Lifestyle, Price and Purchase Decision. Based on the results of the partial t-test, it was proven that the Brand Preference variable (X1), Lifestyle (X2), Price variable (X3) had a significant effect on purchasing decisions on the thrift fashion trend among Gen Z at UNTAG Surabaya. Meanwhile, the F test simultaneously shows that Brand Preference (X1), Lifestyle (X2), and Price (X3) simultaneously influence purchasing decisions (Y) on thrift fashion trends among Gen Z at UNTAG Surabaya.

Museum Sri Baduga, located in Bandung, is one of the main cultural institutions that houses important collections related to the history and culture of Sunda. This study aims to explore the attractions of Museum Sri Baduga as a tourist destination, particularly within the context of the rapidly developing local tourism industry. As a popular tourist destination, Bandung offers a variety of options, making it essential to understand the museum's position in attracting visitors and identifying aspects that can be improved. Additionally, this research highlights the museum's role in cultural preservation, positioning it not only as a recreational site but also as an educational center that contributes to the preservation of local heritage amidst globalization. The study seeks to uncover the key factors influencing the appeal of Museum Sri Baduga and how the museum can adapt to changing tourist preferences in the modern era. The findings are expected to provide practical recommendations for museum management in designing more effective marketing strategies to attract visitors from diverse backgrounds, both domestic and international. By focusing on tourist attractions and contributions to cultural preservation, this research aims to offer new insights relevant to the development of Museum Sri Baduga and the tourism sector in Bandung.

This study aims to compare three main aspects of the experience of enjoying traditional Surabi snacks in a number of places along Jalan Setiabudi, Bandung, namely taste, price, and comfort. The method used is a qualitative descriptive approach with observation, interview, and survey techniques to consumers. The results of the study show that there is a significant variation in the taste of Surabi offered by culinary business actors, both in terms of texture, sweetness level, and the peculiarity of toppings. In terms of price, it was found that differences do not always reflect the quality of taste, but are also influenced by location and market segmentation. The comfort of the dining place, including cleanliness, atmosphere, and supporting facilities, is an important factor in determining consumer preferences, especially young people and tourists. These findings can be a reference for culinary MSME actors in improving competitiveness and service quality, as well as providing practical information for consumers in choosing a place to enjoy Surabi that suits their needs and tastes.

This study aims to analyze and compare the quality of user experience between two popular e-wallet platforms in Indonesia, OVO and DANA, using the UX Honeycomb method and the System Usability Scale (SUS). The UX Honeycomb method evaluates six key aspects of user experience: useful, usable, desirable, findable, accessible, and credible. Meanwhile, the SUS method measures system usability from the users’ perspective. The respondents in this study were students of Hasanuddin University who actively use both platforms. The results indicate that both OVO and DANA exhibit good usability levels based on SUS scores. However, differences were found in several UX Honeycomb dimensions. DANA scored higher in credibility and findability, while OVO performed better in usability and desirability. These findings provide valuable insights for app developers to enhance user experience quality and serve as a reference for users in choosing an e-wallet platform that suits their preferences.  

In Indonesia, housing design policies are increasingly adopting a human-centered approach, recognizing that a home is deeply connected to the preferences of its occupants. These preferences are highly personal and diverse. While housing design is becoming more tailored to the characteristics of residents, few designs take into account the profession of the homeowner as a basis for classification. This research was conducted through direct field observations and interviews with homeowners. It focused on houses owned by individuals from 10 different professional fields in Indonesia. The goal was to explore how different professions influence the design and organization of living spaces. The study revealed that a homeowner's profession significantly impacts home design. Key findings include the addition of specialized rooms based on hobbies or interests, spatial arrangements that reflect the owner’s priorities, and increasing adaptability in design to account for climate change. These observations highlight the importance of considering profession-specific needs in housing design. The results suggest that the existing Indonesian National Standards (SNI) for housing and settlements need to be updated. The current standards focus primarily on minimum space requirements, but they should be expanded to include factors related to the homeowner's profession, which significantly shape the character of the design. Integrating these factors would lead to more personalized, functional, and sustainable housing designs.

This study investigates the impact of product quality, price, and brand image on the purchasing decisions of Wardah facial moisturizer among female students at the Faculty of Economics and Business, University of Lampung. Wardah was selected due to its popularity among young consumers and its reputation as a halal-certified brand offering affordable, high-quality products. Using a quantitative survey method, data were collected from 115 respondents who had purchased the product at least three times. The analysis, conducted through multiple linear regression, reveals that product quality, price, and brand image significantly influence purchase decisions both individually and simultaneously. These results highlight the importance of these factors in consumer decision-making and offer practical insights for cosmetic companies, especially Wardah, in crafting marketing strategies tailored to the preferences of young consumers. Additionally, the findings contribute to the growing body of marketing literature on cosmetic products in the Indonesian context.

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 study uses a qualitative method to examine the effectiveness of marketing strategies implemented by Islamic banks in attracting young customers. The background of this research is based on the significant growth of the Islamic banking sector in Indonesia, which has not yet fully optimized the potential of the youth market segment. Data were collected through in-depth interviews with marketing managers and young customers, as well as documentation of the promotional strategies employed. The findings reveal that marketing strategies emphasizing Islamic values, service digitalization, and social media campaigns significantly influence young customers’ interest. However, some challenges were also identified, such as low Islamic financial literacy among the youth and limited product innovation tailored to their needs. This study recommends strengthening Islamic financial education, collaborating with youth communities, and developing technology-based products and services so that Islamic banks can be more competitive in attracting young customers. With a more adaptive and communicative approach, Islamic banks have the potential to become the preferred choice for the younger generation in the future.

This study aims to analyze the perspectives of mathematics students on mixing aloe vera extract with weak acid solution for hair health and softness. The research method used is descriptive quantitative through the distribution of questionnaires to 43 mathematics students at Medan State University and other universities in North Sumatra. The questionnaire consists of 19 statements covering aspects of knowledge (12 items), environmental awareness (4 items), and psychomotor (4 items) with a Likert scale of 1-5. The results showed that the majority of respondents had good knowledge about the benefits of aloe vera for hair care (mean = 4.02), but the understanding of weak acid solution and its mechanism of action was still moderate (mean = 3.12). The environmental awareness aspect showed a high value (mean = 3.76) which reflects the tendency of students to choose natural products. Meanwhile, the psychomotor aspect showed a moderate value (mean = 3.44), which indicates the limitations of respondents' skills in applying hair care products optimally. This study found a positive correlation between knowledge about natural ingredients and the tendency to use natural-based products for hair care. The results of this study are expected to be the basis for developing hair care product formulations based on natural ingredients that suit the needs and preferences of students.

This research looks into how well Duolingo and YouTube help people learn Japanese. A quantitative approach was taken, gathering information from 35 individuals through an online questionnaire. Participants were chosen based on whether they used Duolingo, YouTube, or both platforms. The questionnaire explored their past learning experiences, how they use these platforms, their preferences, how effective they think these tools are, and what challenges they encountered while learning. The findings reveal that most of the participants already had some background in Japanese and preferred online resources due to their accessibility, no cost, and fun features. Duolingo was liked for its organized, game-like approach, whereas YouTube was appreciated for its authentic, visual materials. A lot of people enjoyed learning at their own pace, finding listening and pronunciation to be useful strategies. Some individuals struggled with staying motivated and dealing with complicated grammar rules. To sum up, both Duolingo and YouTube are good resources for learning basic Japanese, especially for those studying on their own. However, they work best when used alongside other resources. It is suggested to combine digital tools with guidance from teachers for the best outcomes.

This study examines Topten Printing, a printing company based in Metro City that offers diverse printing services characterized by competitive pricing, high-quality output, and efficient service. The research addresses the challenge of sustaining competitiveness amid rising market competition and evolving customer preferences. The objective is to analyze the company’s existing competitive strategies and propose viable alternatives for future growth. Employing a qualitative approach through a case study method, the research utilizes SWOT analysis and the Quantitative Strategic Planning Matrix (QSPM) to assess internal and external factors influencing the business. The results reveal that Topten Printing’s key strengths lie in its affordable pricing, reliable print quality, and prompt service delivery. However, the company also faces notable weaknesses, including a limited workforce and insufficient engagement on social media platforms. Opportunities exist in the growing demand for printed materials and government initiatives supporting micro, small, and medium enterprises (MSMEs), whereas significant threats stem from digital transformation trends and raw material price volatility. The synthesis of findings indicates that to enhance its market position, Topten Printing should implement a growth-oriented strategy focused on increasing production capacity by hiring freelance workers and intensifying social media marketing efforts. In conclusion, strengthening human resources and expanding digital marketing activities are essential steps for Topten Printing to maintain competitiveness and seize market opportunities in an increasingly dynamic business environment.  

The development of information technology in this modern era means that people increasingly need things in life, especially with the increasing prevalence of mobile phone technology and other smart phones which are widely distributed in society. This technology makes everything more efficient and easier. Protection of children's data on social media, especially on the social media platform TikTok, is an issue that is increasingly occurring in the digital modernization realm. With the rapid growth of children's users who are increasingly connected to various online platforms, although TikTok provides space for expression and creativity, on the one hand, TikTok also presents various risks related to the collection and misuse of children's personal data. The data collected on this platform, which will include information such as location, content data preferences, and social interactions, will ultimately be used for advertising purposes and can even be misused by irresponsible parties spread across the Tiktok platform. This article aims to explore aspects of protecting children's personal data on TikTok, as well as including the policies implemented by TikTok and the government.