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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 explore how social media listening, combined with a machine learning approach, can be utilized to predict consumer trends in modern marketing strategies. In today’s digital era, social media serves as a rich data source for capturing consumer preferences, needs, and behaviors in real time. With machine learning algorithms such as natural language processing (NLP) and sentiment analysis, data from platforms like Twitter, Instagram, and TikTok can be processed to identify patterns that indicate market trends. This approach not only enables companies to respond quickly to consumer dynamics but also allows them to craft more targeted and data-driven marketing strategies. This study examines five major brands that implement social media listening as part of their digital strategy by observing consumer conversations, dominant emotions, and viral issues. The findings show that the integration of social media listening and machine learning can serve as an effective predictive tool in developing adaptive and contextual marketing campaigns.

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.

This study aims to understand the considerations of female consumers in making decisions to purchase skincare products with the main focus on the price aspect. The background of this research is based on the increasing competition in the skincare market and the shift in consumer preferences for products that are not only judged by quality, but also by affordability. This study uses a qualitative approach with a case study method. The data was collected through in-depth interviews with six female informants who actively use skincare products and are domiciled in South Jakarta. The results show that perceptions of price are very diverse. Some consumers consider price as an indicator of quality, while others consider the economic value and effectiveness of the product more. Additionally, purchasing decisions are influenced by various factors such as income, skin needs, promotional strategies, and social media influence. In responding to prices, they also vary, ranging from waiting for promos to trying alternative brands that are more affordable. These findings reinforce Kotler and Keller's (2016) theory of personal and psychological factors in purchasing decisions, as well as being relevant to Monroe's theory of price perception. This research provides important implications for skincare business people in designing pricing and marketing strategies that are more adaptive to consumer behavior.

MSMEs face complex challenges in building brand equity and customer loyalty in the digital era, where global competition and dynamic consumer preferences require innovative marketing strategies (Lasrado et al., 2022). This research aims to analyse the role of experiential marketing in improving brand equity and customer loyalty of MSMEs in international markets, with case studies on the creative sector (fashion/culinary) in three regions: ASEAN, Middle East, and Europe. Using an explanatory quantitative approach, data was collected from 400 active customers through a structured questionnaire and analysed with SEM-AMOS. Results show experiential marketing has a significant effect on brand equity. Practical implications include data analytics-based budget allocation recommendations and cultural adaptation in marketing strategies. The findings contribute to the global MSME digital marketing literature and offer operational guidance for businesses.

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.

This study aims to analyze the impact of marketing mix elements on visitor satisfaction at Papuma Beach in Jember, with a focus on Generation Z as the primary target. The marketing mix examined includes word-of-mouth promotion, location, entrance ticket prices, products and services, and available facilities. This research employs a quantitative approach using multiple linear regression analysis, along with partial and simultaneous tests to measure the influence of independent variables on visitor satisfaction. Data were collected through questionnaires distributed to 100 Generation Z respondents, as well as observations and interviews. The findings indicate that, partially, word-of-mouth promotion, location, and facilities do not significantly affect visitor satisfaction. However, ticket prices and the quality of products and services at Papuma Beach significantly influence visitor satisfaction. Simultaneously, the marketing mix affects Generation Z visitor satisfaction with a contribution of 73.5%. The main factors determining visitor satisfaction are the natural beauty, appropriate ticket pricing, and the quality of services provided. This study recommends that Papuma Beach management pay closer attention to marketing strategies aligned with Generation Z preferences and enhance the attraction of the tourist site through service innovations and facility improvements.

This study aims to analyze the marketing strategy implemented by Bika Ambon Nasywa, a traditional cake producer located in Sunggal Deli Serdang, Medan City, North Sumatra. A qualitative descriptive approach was used in this study, with data collection techniques through in-depth interviews, observations, and documentation analysis. Data analysis was carried out using the SWOT (Strengths, Weaknesses, Opportunities, Threats) framework to identify internal and external factors that influence the marketing of Bika Ambon Nasywa products. The results of the study indicate that the main strength of the product lies in its distinctive taste and the quality of the raw materials used, while weaknesses include limited product and packaging innovation. Opportunities that can be utilized include increasing consumer interest in traditional culinary and the development of information technology for digital marketing. Threats faced include competition with similar products and changes in consumer preferences. Based on this analysis, it is recommended that Bika Ambon Nasywa increase product innovation, improve packaging design, and utilize digital platforms such as social media for promotion in order to expand market share and increase sales.

The study focuses on analyzing business strategies to enhance sales in 24-hour coffee shops (warkop24h) in Indonesia, considering their unique challenges and opportunities. Conducted through supportive activities in Karangasih Village, Bekasi, the research employs various methodologies including surveys, discussions, and practical tutorials aimed at providing comprehensive reviews and innovative strategies. Key findings indicate that these coffee shops need to improve promotional efforts and address supply chain issues, particularly with essential ingredients like ice, to bolster customer satisfaction. By developing unique menu offerings and leveraging digital marketing, these businesses can capture the attention of the younger demographic, particularly Gen Z, who view warkop as social and creative spaces. The study concludes that implementing strategic adaptations in response to market trends and customer preferences can significantly bolster the viability and growth of coffee shop businesses in competitive environments. This research highlights the critical role of micro, small, and medium enterprises (UMKM) in contributing to the broader economic framework of Indonesia.

The halal industry has experienced significant growth, encouraging Micro, Small, and Medium Enterprises (MSMEs) to continuously innovate in order to compete globally. This study aims to examine the strategies of halal product innovation implemented by MSMEs from the perspective of islamic business management, identify the key driving factors behind innovation in the global market, and analyze its influence on Muslim consumers preferences. This research adopts a literature review methode using various scholarly journals and academic sources. The findings show that effective innovation strategies include collaboration between the government and industry, improvement of ptoduct quality and halal certification, digital technology utilization, and marketing approaches aligned with Islamic pronciples. The main drivees of innovation consist of product and process development, technology and digitalization, the high consumption value of halal products among indonesian consumers a, comprehensive legal framework, import substitution policies, and stakeholder synergy. Halal product innovation has proven to positively influence Muslim consumers preferences, particularly in terms of trust, loyalty, and perceived value. This study highlights that Islamic business management, which emphasizes blessing, ethicts, and sustainability, plays a crucial role in strengthening the global competitiveness of halal MSMEs.

This study aims to analyze the influence of ethnic relations on the political orientation of the community in Simpang Selayang Village, Medan City. The research method used is descriptive qualitative with data collection techniques through interviews and documentation. The data analysis techniques applied include data reduction, data presentation, and data verification according to Miles and Huberman. This study focuses on two main problem formulations, namely the influence of ethnic relations on political issues and the influence of ethnic relations on political orientation. The results of the study indicate that ethnic identity plays an important role in determining individual political preferences. Ethnic identity serves as a frame of reference that guides political behavior, including in general elections and other political participation. Solidarity between ethnic groups often strengthens political support for candidates who have the same ethnic affiliation, creating a voting pattern that is strongly influenced by ethnic factors. The research findings also reveal that political issues that are relevant to the local community are influenced by the social and cultural context of each tribe. political programs that emphasize local economic development and preservation of tribal culture tend to get greater support. This suggests that understanding the socio-cultural context of ethnic groups is key to formulating effective and inclusive political policies. This study provides new insights into the dynamics of politics in a multi-ethnic society and emphasizes the importance of inclusive policies that take into account ethnic diversity to promote social harmony and political stability in Simpang Selayang Village.

Restaurant menu translation plays a vital role in attracting international tourists and expanding the culinary market of a region. This study aims to analyze restaurant menu translation strategies using a descriptive qualitative approach. Data were collected through observation, interviews, and document analysis of translated menus. The findings indicate that description, adaptation, and amplification are the most commonly used strategies to improve the readability and appeal of menus in the target language. These strategies help bridge linguistic and cultural differences, making it easier for tourists to understand the content of the menu. However, translation errors were still found and may lead to misunderstandings and decrease the attractiveness of certain dishes.In addition to qualitative analysis, a survey was conducted involving 50 foreign tourists in tourist areas to gain insight into their perceptions of menu translations. The survey results revealed that 80% of respondents found the menu translations clear, although 20% still encountered confusion with some terms. Moreover, 75% stated that appealing menu descriptions increased their interest in trying local dishes. Regarding language preferences, 60% of respondents preferred menus that included original dish names with English descriptions, while 40% favored full English translations. Some tourists also suggested including more detailed information, such as spiciness levels and main ingredients.Overall, effective menu translation not only enhances the culinary experience of tourists but also strengthens a restaurant's competitiveness and supports the promotion of local cuisine in the global market.

This research aims to develop an interactive web dashboard to support data analysis for vending machine sales. The dashboard is designed to facilitate the management of large datasets through intuitive visualizations and interactive features such as filtering, searching, and pagination. The development process involves several stages, including data collection, data cleaning, analysis, visualization, web design, implementation, and deployment using GitHub Pages. Technologies like HTML, CSS, JavaScript, Chart.js, and Grid.js are utilized to ensure efficiency and accessibility. The results of the research show that the dashboard effectively presents key information, such as sales trends, best-selling products, and payment method preferences, thereby supporting more accurate and data-driven strategic decision-making. However, the research has limitations in integrating predictive analytics. Future development is recommended to include predictive algorithms and test system performance on large-scale data. This solution is expected to contribute significantly to optimizing vending machine management and serve as a development model for similar applications in other business sectors.

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.

This study aims to analyze the marketing strategy implemented by the Regional National Crafts Council (DEKRANASDA) in Samosir Regency in developing local craft products and enhancing their competitiveness. This research employs a qualitative approach with data collection techniques through interviews, observation, and documentation. The findings reveal that DEKRANASDA has applied the elements of the marketing mix, including product, price, place, and promotion. However, several significant challenges persist, particularly in terms of limited promotional media and intense market competition. One major obstacle is the insufficient utilization of digital media as a marketing tool, which results in a limited market reach. Furthermore, product innovation needs to be improved to better align with consumer preferences and current market trends. Therefore, this study recommends that DEKRANASDA develop a digital-based marketing strategy, such as utilizing social media, e-commerce platforms, and an official website to enhance promotional reach. Additionally, innovation in design, raw materials, and product variations should be undertaken to attract consumers and compete in a broader market. This research provides important insights into the development of more effective marketing strategies to increase the income and competitiveness of craft products in Samosir Regency.

In the era of globalization, fashion accessories are no longer limited to functional purposes but have evolved into instruments of personal and cultural expression. Wallets, as one of the most widely used accessories, are now experiencing a shift in design orientation toward cultural values. This study aims to analyze the phenomenon of culturally designed wallets as an emerging modern trend through a comprehensive literature review. The research explores various academic and industry sources published between 2018 and 2024 to understand how cultural elements are integrated into wallet designs and how these influence consumer preferences.The study identifies three primary factors that drive consumer interest in culturally themed wallets: aesthetic value, sustainability, and innovation. Aesthetic value refers to the visual and symbolic appeal of cultural motifs, which resonate with consumers seeking uniqueness and identity. Sustainability reflects the growing awareness among younger generations—especially Millennials and Gen Z—regarding ethical consumption and the use of eco-friendly materials. Innovation in design, such as the fusion of traditional patterns with modern functionality, also plays a crucial role in maintaining market relevance.The findings suggest that culturally inspired wallets have a distinctive market niche, appealing to consumers who value both cultural heritage and modern fashion sensibilities. Moreover, these products support the preservation and promotion of local culture in the context of global commerce. This study contributes to the growing body of literature on culture-based product development and provides insights for stakeholders in the creative industry to enhance product innovation, cultural storytelling, and market competitiveness in the global fashion landscape.