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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.

Word-of-Mouth (WOM) communication plays a vital role in shaping the perception of tourism destinations and significantly influences tourists' decision-making processes. This is particularly true for Generation Z, a demographic cohort characterized by their high digital literacy, constant connectivity, and strong preference for authentic and unique experiences. Generation Z travelers tend to rely heavily on WOM, both traditional and digital (e-WOM), when selecting travel destinations, as they value peer recommendations over conventional advertising. One of the destinations that has gained popularity among this generation is Pantai Indah Kapuk (PIK), a rapidly developing coastal area known for its vibrant atmosphere, modern attractions, and aesthetic appeal suitable for social media sharing.This study aims to examine the impact of WOM communication on the satisfaction and overall tourism experience of Generation Z visitors at PIK. The research adopts a quantitative approach using survey methods to collect data from Generation Z tourists who have visited PIK. Variables measured include the source and credibility of WOM, the influence of WOM on decision-making, perceived value, satisfaction, and the quality of the tourism experience.The findings are expected to provide insights into how WOM shapes tourist behavior, enhances destination satisfaction, and contributes to memorable tourism experiences among Generation Z. Furthermore, the study aims to offer recommendations for destination marketers and tourism stakeholders to effectively leverage WOM as a strategic tool in promoting destinations and engaging young travelers in meaningful ways.

Game-Based Learning (GBL) has emerged as an innovative learning approach aimed at enhancing student engagement and promoting the development of critical thinking skills, particularly at the elementary school level. This study was conducted at SD Negeri Labuhan 1 using a qualitative approach and a case study method. The primary objective of this research is to analyze the implementation of GBL within the context of elementary education, focusing on students’ and teachers’ needs and interests, the strategies used for implementation, the impact of GBL on students’ critical thinking skills, and the supporting and inhibiting factors affecting its success. The findings indicate that 75% of students expressed a higher preference for game-based learning over conventional teaching methods, showing high levels of enthusiasm and participation during the learning process. GBL proved effective in increasing students' motivation to learn, strengthening collaboration, and stimulating analytical and reflective thinking. However, several challenges were encountered in the implementation of GBL, including limited technological infrastructure in schools and the lack of specialized training for teachers in designing and managing game-based learning activities effectively. Based on these findings, it can be concluded that GBL holds significant potential as a teaching strategy that can foster students’ critical thinking skills from an early age. Nevertheless, to achieve optimal outcomes, strong support from various stakeholders is essential, including the provision of adequate facilities and the enhancement of teachers’ competencies through continuous professional development and training in designing and applying GBL in daily classroom activities.

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.

Purple yam is one of the tubers that serves as a source of antioxidants but has not been optimally utilized. Therefore, it needs to be diversified by processing it into snack bars. This study aims to develop snack bars made from purple yam flour, sorghum flour, and mung bean flour, which have the potential to serve as antioxidant sources and are preferred by panelists. In this study, snack bars were prepared using composite flour (sorghum:mung bean) and purple yam flour in varying ratios: 95:5, 90:10, 85:15 for the composite flour and 20%, 30%, and 40% for the purple yam flour. The snack bars were evaluated for color, texture, moisture content, antioxidant activity, and preference level. Selected samples were further analyzed for ash content, protein content, fat content, anthocyanin content, and crude fiber content. The experimental design used was a Completely Randomized Design (CRD) with two factors. The snack bars with a composite flour ratio (sorghum:mung bean) of 85:15 and 30% purple yam flour were identified as the best treatment, preferred by panelists and exhibite high antioxidant activity. These snack bars had a moisture content of 13.40%, ash content of 8.83% (db), protein content of 19.75% (db), fat content of 8.80% (db), crude fiber content of 9.54% (db), antioxidant activity of 68.02% (RSA), and anthocyanin content of 37.40 mg/100g

This study aims to analyze and explore more deeply the concept of electronic word of mouth (eWOM) by examining the role of electronic service quality, with trust as an exogenous variable and electronic satisfaction as a mediating variable. The phenomenon of consumer behavior in the context of e-commerce continues to grow in line with the rapid increase in internet users. In Indonesia, internet users are projected to reach 72.8 million people, making the country the third-largest in internet penetration among ASEAN nations. This surge in internet usage has significantly influenced online shopping behavior, especially among digital-savvy consumers. However, this trend contrasts sharply with the declining performance of offline retail, as shopping centers are witnessing a drop in consumer visits. This decline is largely driven by three major factors: (1) shifting consumer preferences, (2) decreasing employment in physical retail sectors, and (3) a rapid rise in the number of online stores.The research utilizes primary data, collected from respondents who have made online purchases from two major marketplaces in Indonesia—Tokopedia and Lazada. The data were analyzed using the Smart PLS software to test the relationships between the variables. The results indicate that electronic service quality has a positive and significant effect on eWOM when mediated by trust. However, the direct effects of service quality and satisfaction on eWOM were found to be statistically insignificant. The findings suggest that building customer trust through enhanced service quality is a strategic priority for e-commerce platforms aiming to encourage consumers to share positive online recommendations.

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.

Ready-to-drink (RTD) chocolate beverages are increasingly popular, yet traditional formulations often contain dairy components while some consumers are lactose intolerance. The primary challenges in RTD chocolate beverages include achieving acceptable flavor profiles and managing cocoa powder precipitation. This study aimed to formulate a non-dairy ready-to-drink chocolate beverage using a hedonic test and  enhance its physical stability through varied xanthan gum concentrations applying Completely Randomized Design (CRD).A hedonic test involving 30 untrained respondents determined the most preferred formula with the highest preference level (3.7), which consisted of 40% local cocoa powder from Kulon Progo, Yogyakarta, 15% commercial cocoa powder, and 45% castor sugar. Stability analysis involved incorporating xanthan gum at concentrations of 0.1%, 0.15%, and 0.2% (w/v). Results demonstrated that 0.2% xanthan gum concentration yielded the highest viscosity (98 N.s/m²), significantly differing from the control. The lowest precipitation was observed at 0.2% concentration (p-value 0.048). Particle size analysis revealed progressive reduction from 21 μm to 5 μm with increasing xanthan gum concentration. The study conclusively identified 0.2% (w/v) xanthan gum as the most effective concentration for improving chocolate beverage stability, offering a promising approach for developing innovative, dairy-free RTD products.

Aloe vera gel contains antioxidative phenolic compounds. Fresh aloe vera gel is less accepted by the community due to its bitter taste from its latex. An acceptable alternative to aloe vera products is an aloe vera gel beverage because people of all ages currently favor light drinks. This study aims to produce aloe vera gel beverages with high antioxidant content by varying the gel size and boiling duration for easy consumption and preference by panelists. This research employed a completely randomized design (CRD) with two treatment factors, namely variations in gel size (0.5x1 cm, 1x2 cm, 2x3 cm) and boiling duration (10 minutes, 15 minutes, 20 minutes). The obtained data were subsequently analyzed Analysis of Variance (ANOVA). If differences were found, Duncan's Multiple Range Test (DMRT) was conducted at a significance level of 5%. The research results indicate that variations in gel size and boiling duration affect antioxidant activity, moisture content, total sugar content, gel texture, and preference level. The acceptable aloe vera gel beverage, preferred by the panelists which made with a gel size of 0.5x1 cm and a boiling duration of 10 minutes, with exhibited the highest antioxidant activity 6.72% RSA, moisture content 94.15%, total sugar content 13.35%, hardness (6.25 g/cm2, and deformation 2.81 mm.

This research aims to explore how price and product quality influence purchasing decisions for Y.O.U cosmetics at Panda Lovely Jombang. Given the rapid growth of Indonesia's cosmetics market, Y.O.U has emerged as a local brand offering quality products at competitive prices. Panda Lovely, with its numerous branches across Java Island, is one of Y.O.U’s primary distributors. The study adopts a quantitative approach using associative methods, with data collected through questionnaires from 100 Panda Lovely Jombang customers. Multiple linear regression analysis was employed to examine the relationship between independent variables (price and product quality) and the dependent variable (purchase decisions). The findings reveal that both price and product quality, individually and combined, significantly impact purchasing decisions. Key factors influencing consumer choices include affordability, the alignment of quality with expected benefits, and product durability. This research offers valuable insights for both Panda Lovely managers and Y.O.U producers to refine marketing strategies that cater to consumer needs and preferences.

PT XYZ is an institution or agency with an important role in carrying out government tasks in certain fields. One of the units owned by PT XYZ is an incubator unit that focuses on providing support to MSMEs to develop and improve their business competitiveness. However, in the process of selecting MSMEs that are eligible for the incubation program, there are still obstacles due to an assessment system that is not well structured. This causes difficulties in determining MSMEs that truly meet the criteria and have the potential to develop through the incubation program. One of these problems is the development of a Decision Support System (DSS) application to assist the process of selecting MSMEs that are eligible for incubation at PT XYZ. This application uses a straightforward, logical, and easy-to-understand decision-making method known as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. By implementing this method, the system is expected to provide more objective and structured assessment results, so that it can increase efficiency in determining the MSMEs that have the most potential to be fostered through the incubation program at PT XYZ.

The apparel industry in Chengdu is transforming significantly due to integrating artificial intelligence (AI) technologies. This evolution aims to enhance consumer satisfaction by providing personalized shopping experiences, improving inventory management, and streamlining the supply chain. AI-driven algorithms analyze consumer behavior and preferences, allowing retailers to create tailored recommendations that align with individual tastes. Additionally, AI tools enable efficient inventory management by predicting trends and consumer demand, which helps reduce instances of overstock and stockouts. This optimization improves operational efficiency and ensures customers can find their desired products when visiting stores or online. This study was conducted through an online questionnaire distributed to 376 Chengdu participants to measure their attitudes toward AI improvement in the apparel industry. The findings underscore that innovative technology, perceived information quality, and perceived customization correlate with consumer satisfaction in AI experience improvement.    

This study aims to analyze brand adaptation strategies employed by multinational companies in addressing global marketing challenges, particularly in the context of cultural differences, consumer preferences, and regulatory variations across countries. Using a qualitative approach with a case study method, data were collected through in-depth interviews with marketing managers and document analysis related to corporate branding strategies. The findings reveal that multinational companies adopt a flexible brand adaptation approach by adjusting product elements, marketing communications, and brand values to align with local market characteristics while maintaining their global identity. These findings highlight that balancing global brand consistency with local market adaptation is a key factor in the success of global marketing strategies.

This abstract explores the role of artificial intelligence (AI) in enhancing consumer satisfaction in Sichuan's online customer experience and service efficiency. With the rapid growth of e-commerce, understanding consumer preferences and behaviors has become crucial. AI technologies like chatbots, predictive analytics, and personalized recommendations are integrated into online platforms to streamline service delivery and improve user interactions. By leveraging data-driven insights, businesses can tailor their offerings to meet the specific needs of consumers, thereby increasing satisfaction levels. Furthermore, AI facilitates faster response times and more efficient problem resolution, leading to a seamless shopping experience. This study was conducted through an online questionnaire distributed to 380 Sichuan participants to measure their optimization and service efficiency satisfaction. The findings underscore that technical infrastructure, user acceptance and engagement, and service quality positively correlate with consumer satisfaction in AI experience improvement.

The global fashion industry continues to experience rapid growth, driven by changes in consumer preferences that increasingly emphasize personalization in clothing products. This study aims to analyze Generation Z's preferences for customization trends in fashion products and identify their impact on marketing strategies in the fashion industry. A qualitative approach with a descriptive method was used to understand the factors influencing Gen Z's preferences when selecting customizable fashion products. Primary data was collected through interviews with Gen Z consumers who are active shoppers on e-commerce platforms. The results show that 60% of Gen Z consumers are interested in customizable fashion products, with the main reasons being to express individuality and enhance emotional attachment to the brand. Social media, especially Instagram and TikTok, plays a significant role in shaping consumer preferences, as more than 70% of informants acknowledge that influencer recommendations influence their decision to purchase customized products. Based on these findings, it can be concluded that customization is not just an additional feature but a marketing strategy that can enhance consumer loyalty. Recommendations from this study include implementing personalized marketing strategies, improving customization features on e-commerce platforms, and collaborating with influencers to expand market reach.

Bell’s Palsy is an acute peripheral facial nerve paralysis that causes unilateral facial weakness. The exact cause remains unclear but is suspected to involve anatomical factors, infections, viral reactivation (especially Herpes Simplex Virus), ischemia, inflammation, and cold exposure. The incidence is 20-30 per 100,000 people annually, with no gender or age preference, though it is more common in middle-aged and elderly individuals. Risk factors include diabetes, pregnancy, preeclampsia, obesity, and hypertension. Symptoms develop suddenly, peaking within 48 hours, and include facial asymmetry, difficulty closing the eyes, eating, speaking, and sensory-motor disturbances. Most cases recover spontaneously within weeks to months, but corticosteroids and antiviral therapy can accelerate recovery. Proper diagnosis is crucial as Bell’s Palsy is often mistaken for stroke or other neurological disorders.

Indonesia's computer retail industry is becoming increasingly competitive due to rapid technological advancements and evolving consumer preferences. PT Griyacom, a computer retail company in Bandar Lampung, faces challenges in sustaining its competitiveness amid these market dynamics. This study examines the business strategies adopted by PT Griyacom to enhance its competitive advantage using a qualitative approach with a case study method. Data was gathered through in-depth interviews with company management, direct observations, and document analysis, while data analysis followed the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. The findings indicate that PT Griyacom has implemented various business strategies, including improving customer service, expanding product diversification, and utilizing digital marketing. However, the company still faces challenges such as intense price competition and the need for greater technological innovation. Based on these findings, this study offers strategic recommendations for PT Griyacom to strengthen its market position by optimizing digital marketing efforts, enhancing operational efficiency, and reinforcing product differentiation.

This research aims to determine the influence of price and product design on Muslim clothing purchasing decisions. In the fashion industry, especially Muslim fashion, price and product design are two very important factors in influencing consumers' decisions to make purchases. Competitive and affordable prices can attract consumers' attention, while attractive designs that are in line with trends can increase the product's appeal. Through the literature review method, this research analyzes various relevant scientific sources to explore the relationship between price, product design and purchasing decisions. The research results show that reasonable prices and innovative product designs have a significant contribution to consumer purchasing decisions. Consumers tend to prefer to buy Muslim clothing that offers a combination of attractive prices and designs that suit their preferences. Therefore, Muslim fashion companies and related parties are expected to continue to pay attention to appropriate pricing strategies and develop attractive product designs. In this way, companies can create an environment that supports improved purchasing decisions, which ultimately contributes to sales success and sustainable business growth.

This research aims to formulate and examine the physicochemical characteristics and antioxidant activity of sacha inchi (Plukenetia volubilis L.) as a plant-based milk. Moreover, this research also aims to conduct organoleptic tests on the products. The sacha inchi milk is formulated with five ratios: SI1 (sacha inchi 1:10 parts water), SI2 (sacha inchi 2:10 parts water), SI3 (sacha inchi 3:10 parts water), SI4 (sacha inchi 4:10 parts water), and SI5 (sacha inchi 5:10 parts water). Organoleptic tests are carried out by assessing the aspects of taste, color and aroma of the product with a score range of 1 (least preferred) - 5 (most preferred). The results of the organoleptic test showed that the most preferred sacha inchi peanut milk formulation was SI5 with a preference level reaching a score of 4.48. The SI5 formulation is more dominantly preferred because it is richer in taste, color and aroma. Then continued with physicochemical testing which includes water content, ash content, fat content, protein content, carbohydrate content, calcium content, pH, and viscosity and IC50 antioxidant activity test using UV-Vis Spectrophotometer instrument. The results of physicochemical tests and IC50 antioxidant activity conducted in this study were respectively: water content (74.10%), ash content (0.65%), fat content (19.15%), protein content (4.29%), carbohydrate content (1.82%), calcium content (0.043%), pH (6.01), viscosity (209 mPa∙S), and IC50 antioxidant activity (429.10 ppm).