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Competition in the songkok (traditional cap) industry in Gresik Regency has become increasingly intense, especially for small enterprises such as UD. Arif Bersaudara, which face challenges in maintaining competitiveness amid changing market trends and consumer preferences. This study aims to analyze effective marketing strategies for UD. Arif Bersaudara by identifying internal and external factors and determining the most appropriate strategic priorities for business development. The research employs the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis to identify strategic factors and the QSPM (Quantitative Strategic Planning Matrix) to determine the order of strategic priorities. Data were collected through questionnaires distributed to 92 respondents and analyzed quantitatively using weighting and attractiveness score calculations. The results show that the total IFE Matrix score is 4.80 and the EFE Matrix score is 4.772, placing UD. Arif Bersaudara in the “Grow and Build” strategic position. Based on the QSPM results, the main priority strategy is to leverage superior product quality, design variations, and size diversity to capture opportunities in digital and international markets, with the highest TAS value of 8.37. The study concludes that UD. Arif Bersaudara should focus its strategy on improving product quality and implementing digital marketing to strengthen competitiveness. The strength of this research lies in the application of the combined SWOT–QSPM methods, which provide measurable analytical results, while its limitation lies in the relatively small and region-specific number of respondents. Future research is recommended to expand respondent coverage and incorporate digital marketing–based analysis to make MSME marketing strategies more adaptive to technological developments.

This study aims to analyze how Pancasila values are applied in MSME business practices and their impact on customer preferences with a case study of Rumah Makan Ibu Via in Sindangsari, Serang Regency. The approach used is descriptive qualitative through interviews, observation, and distribution of questionnaires to customers. The results show that the business owner consistently applies the principles of Pancasila, including honesty (first principle), respect for customers (second principle), cooperation with nearby merchants (third principle), openness to customer feedback (fourth principle), and fair and affordable pricing (fifth principl). The application of these values has a positive impact on customer satisfaction and loyalty, as seen in key preference factors such as affordable prices, a diverse menu, friendly service, and a comfortable location. Thus, the application of Pancasila values in MSME business practices not only serves as a moral and social guideline, but also contributes significantly to increasing customer loyalty and preference. The results of this study are expected to serve as an example of the application of national values in business practices for other SMEs in Indonesia.

The Impact of Development Trends and Policy Optimization of New Energy Vehicles (NEVs) on Consumer Usage Behavior in Guizhou explores the relationship between the evolving landscape of NEVs and consumer behavior in Guizhou, with a strong emphasis on environmental con-siderations. It argues that as consumers become more aware of environmental issues, their willingness to adopt NEVs increases, influenced by both government policies and social factors.   The study highlights how effective policy optimization—such as financial incentives and educational initiatives—can enhance the adoption of NEVs. Additionally, it underscores the role of social influence in shaping consumer at-titudes and behaviors toward sustainable transportation. By examining these dynamics within the context of Guizhou's natural environment, the research provides valuable insights into creating a more sustainable transportation framework that aligns with both consumer preferences and ecological goals, based on a sample of 390 consumers.

The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.

The development of digital technology and social media provides both opportunities and challenges for the preservation of traditional arts such as Wayang Golek from West Java, which is rich in cultural, moral, and Islamic preaching values. Wayang Golek has long served as a medium for da'wah, conveying religious teachings creatively through artistic performances. However, changes in the preferences of younger generations who favor instant digital content put this traditional art at risk of being forgotten. This study uses a qualitative method with a literature study approach to examine the role of social media in revitalizing Wayang Golek as a medium for cultural preservation and Islamic da'wah. The research results show that social media such as YouTube, Instagram, and TikTok play an important role in expanding access and public interest, especially among young people, through interactive and engaging educational content. However, limitations in technological proficiency and lack of support are major obstacles. Social media. It not only functions as a tool for communication and entertainment but also serves as a means of documentation and cultural education that can build virtual communities and a strong cultural identity. This study recommends strengthening digital training for artists, cross-sector collaboration, and creative content innovation to maintain the relevance and sustainability of Wayang Golek in the modern era. Adapting digital technology is an important strategy to align the preservation of traditional arts with the development of the times without losing the essence of cultural values and the messages contained within.

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.

Advances in information and communication technology (ICT) have revolutionized various aspects of life, including the education sector. The application of technology in education enables more flexible, interactive, and personalized learning, as well as expanding access for students in various regions, including remote areas. SMK Negeri 2 Binjai is one of the vocational education institutions in Binjai City that is currently facing challenges in the process of determining recipients of educational assistance, particularly the Indonesia Pintar (PIP) Program, which is intended for underprivileged students. Until now, the selection mechanism for PIP recipients has been carried out manually, making it prone to subjectivity, lack of transparency, and limited integrated data. To overcome this problem, a decision support system is needed to help schools determine the recipients of educational assistance objectively and structurally using the Weighted Aggregated Sum Product Assessment (WASPAS) method, which is an effective multi-criteria decision-making technique for processing various assessment criteria to produce the best alternative ranking. The results of the calculation using the WASPAS method produced different preference values (Qi) for each student alternative. The highest score was obtained by Ilyas Ramadhanu with a Qi of 0.6899, followed by Binar Sembiring with a Qi of 0.5963, and Dimas Dwi Andika with a Qi of 0.5790. The lowest value was obtained by Adit Rahmazi with a Qi of 0.3852.

The rapid development of information technology requires training institutions to adapt in order to provide services that are effective, efficient, and aligned with user needs. Don Bosco Sumba Vocational Training Center (BLK) as an institution focused on enhancing community skills faces challenges in providing a system that is easily accessible and usable by trainees, instructors, and administrators. This study aims to design and develop a web- and mobile-based application using the User-Centered Design (UCD) approach to produce a system that truly fits user needs and preferences. The UCD method was applied through several stages, including user and context identification, needs analysis, solution design, and iterative evaluation of the developed prototype. Data were collected through interviews, observations, and questionnaires administered to various users within Don Bosco Sumba BLK. The findings show that the implementation of the UCD method improved usability, streamlined administrative processes, and enhanced user satisfaction with the developed system. Therefore, the development of this UCD-based application not only supports the improvement of service quality but also strengthens the effectiveness of training management at Don Bosco Sumba BLK. The implications of this study highlight the importance of applying a user-centered approach in the development of information systems within the vocational training sector.

Initial survey results show that consumers in the Makale region have specific preferences for tempeh packaging and quality, but business actors have not incorporated these preferences into their production and marketing strategies. This gap calls for an intervention to develop a strategy based on a systematic, contextual mapping of consumer preferences. Using a mixed methods approach with an explanatory sequential design, the study was conducted in two stages: first, quantitative data collection and analysis, followed by qualitative data collection and analysis to clarify and deepen the results. The study found that consumer preferences for Jeslyn tempeh are primarily influenced by sensory qualities (taste, texture, aroma), cleanliness, affordability, hygienic packaging, distribution ease, and promotion. The Likert scale analysis showed that most indicators had an average value above 4.20 (percentage index > 84%), indicating high to very high consumer satisfaction. Taste (mean 4.52; index 90.4%) and texture (mean 4.44; index 88.8%) were the most influential factors, followed by price and cleanliness. Consumer loyalty is built through consistent quality and emotional attachment to local products. Producers should maintain product quality, improve hygiene, introduce simple innovations, and use social media for cost-effective promotion.

The implementation of the Frequent Pattern Growth (FPG) algorithm in a web-based drug purchasing application at Sumber Sehat Pharmacy aims to improve efficiency and accuracy in analyzing customer drug purchasing patterns. The FPG algorithm is a method used to identify frequent purchase patterns or frequent itemsets in purchase transactions, which can then be used to make relevant drug recommendations for customers. This study uses a case study at Sumber Sehat Pharmacy to explore drug purchasing patterns and provide a data-driven solution that can help pharmacies improve service and adjust drug stocks according to customer needs. The results show that the application of the FPG algorithm can identify significant purchasing patterns and assist pharmacies in determining more appropriate promotional strategies and inventory management. By using a web-based application that implements this algorithm, Sumber Sehat Pharmacy can provide drug recommendations that are more in line with customer preferences, thereby increasing customer satisfaction and pharmacy operational efficiency.

Rapid developments in information technology have made laptops an essential device for students, especially those in their final year of study. Choosing the right laptop plays an important role in supporting academic productivity, such as writing theses, analyzing data, and developing software. This study aims to classify the preferences of mathematics students at Gorontalo State University in choosing laptops based on usage characteristics and factors that influence purchasing decisions. The method used is Kernel Discriminant Analysis (KDA) with a Gaussian kernel function and an optimal bandwidth of 0.8. The research data involved 268 respondents divided into training and testing data. The analysis results show that the KDA model has an accuracy rate of 60% on the training data and 52% on the testing data, which indicates the model's ability to recognize student preference patterns despite a decrease in accuracy on new data. Based on the kernel density estimation results, Acer is the most widely used laptop brand, while Zyrex and Apple are rarely chosen. The most influential factor in purchasing decisions is processor specifications, with a contribution of 35.739%, followed by brand, warranty, and price. These findings indicate that hardware characteristics are the main consideration in laptop selection, with most students choosing laptops with Intel Core i5 processors, a minimum of 8GB of RAM, and SSD storage. The results of this study can also be used by universities to provide recommendations for selecting laptops that suit students' academic needs.  

This study aims to describe: 1) Formulation of mackerel fish nuggets with the addition of seaweed (Eucheuma cottonii); 2) to detemine the level of panelists’ preference for the resulting product. This study uses a quantitative method with an experimental approach. Data colletion uses an observation method by distributing preference test sheet to the public (consumers). Then analyzed using quantitative descriptive. Research results: 1) Formulation using 350 gr mackerel surimi, 70 gr seaweed (Eucheuma cottonii), 60 gr eggs, 100 gr wheat flour, 15 gr garlic, 30 gr shallots, 2,5 gr ground pepper, 10 gr salt, 5 gr sugar; 2) The preference test results indicated that the inner color (4,38), outer color (4,58), solid inner texture (4,44), crispy outer texture (4,26), aroma (4,36), natural taste (4,48), and shape (4,6) were in the very liked category, while the chewy inner texture (4,08) and savory taste of the spices (4,14) were in the liked category. Overall, mackerel nuggets with the addition of seaweed (Eucheuma cottonii) were categorized as very liked and had the potential to become an innovative product that was accepted by the the general public.

The rapid growth of online transportation services has significantly transformed urban mobility patterns, including in Abepura District, Jayapura City. This study is grounded in the concept of smart mobility, which emphasizes technological integration, efficiency, and accessibility within the smart city framework. The theoretical foundation draws on consumer preference theory and the Customer Satisfaction Index (CSI) model. A quantitative approach was applied through questionnaires distributed to 100 respondents, supported by secondary data on digital infrastructure and local transport regulations. The analytical methods included conjoint analysis to identify user preferences, CSI analysis to assess smart mobility readiness, and spatial analysis to map infrastructure support. The findings indicate that fare and safety are the most influential attributes shaping user preferences, followed by application usability, transport mode, and travel time. Maxim emerged as the most widely used application, followed by Grab and Gojek. The CSI score reached 77.60%, categorized as “highly ready,” though gaps remain in intermodal integration and waiting time efficiency. Spatial analysis confirmed that the coverage of 16 BTS towers in Abepura adequately supports online transportation operations. In conclusion, online transportation services in Abepura District demonstrate strong readiness to support the implementation of smart mobility, yet further improvements are needed in modal integration and operational efficiency to ensure sustainable and inclusive urban mobility.

This study investigates the influence of coffee brewing device branding on the sensory perception of coffee flavor at TEFA Javanica, Politeknik Negeri Banyuwangi. Focusing on three V60 dripper brands—Hario (Japanese brand), Indotara (local generic brand), and One Two Cup (local brand with English naming)—the research employs an experimental quantitative approach combining blind and branded taste tests. The blind test eliminates brand influence, allowing assessment of the inherent coffee taste, while the branded test examines how brand expectations affect flavor experience and consumer perception. Sensory evaluation follows the Specialty Coffee Association's standardized cupping protocol, assessing aroma, taste, aftertaste, balance, and overall impression. Data from 45 purposively selected experienced coffee tasters were analyzed using the McNemar test to statistically compare preferences between blind and branded conditions. Results show significant brand effects on consumer perception for two of the three brands tested, highlighting branding’s role in shaping sensory experience. These findings offer valuable insights for coffee producers and marketers to optimize brewing device selection and branding strategies, enhancing customer satisfaction and competitive positioning. Academically, the study enriches literature on sensory branding in coffee, emphasizing the importance of equipment branding in specialty coffee markets. This research also lays groundwork for future studies exploring marketing and consumer psychology aspects within the specialty coffee industry.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving economic growth at the local level and enhancing community welfare. This study aims to examine the potential of small businesses in strengthening the local economy through a case study of the Minang Restaurant MSME located on Jl. Prof. H. M. Yamin in Medan City. The research employs a qualitative descriptive method with a case study approach, involving field observations, in-depth interviews, and document analysis to obtain comprehensive data. The findings indicate that the presence of this MSME makes a significant contribution to job creation, stimulates local economic circulation, fosters entrepreneurial creativity, and expands community access to traditional culinary products. Moreover, the business demonstrates resilience in facing market competition by emphasizing high-quality products and excellent customer service. The study also highlights that the MSME’s ability to adapt to changing consumer preferences and utilize local resources strengthens its sustainability and competitiveness.Overall, small businesses, particularly culinary MSMEs, have substantial potential to enhance the local economy by empowering the workforce, increasing household incomes, promoting entrepreneurship, and preserving cultural heritage. The findings suggest that supporting and developing MSMEs can serve as an effective strategy for fostering inclusive economic growth and enhancing social and cultural vitality within local communities.

This study aims to analyse the strategies implemented by Kopi Kenangan MSMEs, particularly the branch at Jl. Pancing No. 184 Medan, in facing the challenges of globalisation and penetrating the international market. The method used is a case study with a descriptive qualitative approach through interviews, observations, and documentation. The results of the study show that Kopi Kenangan is well prepared to compete in the global market through strengthening internal management, utilising digital technology, and building a brand image based on Indonesian coffee identity. The expansion strategies implemented include selecting markets with cultural proximity, adapting products to local preferences, and collaborating with international partners. The main obstacles faced include competition with global brands, differences in consumer tastes, financial constraints, and export regulations. However, business opportunities remain wide open in line with the increasing global coffee consumption trend, interest in authentic local products, and government support in promoting and facilitating MSMEs. This study concludes that the success of MSME internationalisation is largely determined by the synergy between internal company quality, digitalisation, partnership networks, and external support from the government.

This study examines the relationship between business environment dynamics and the sustainability of microenterprises in the culinary sector, focusing on a case study of dim sum businesses in Medan City. The business environment is conceptualized as a set of external factors, including competitive intensity, local economic conditions, regulations, shifts in consumer preferences, and the strategic role of business location. A qualitative approach was employed using a case study method, with data collected through semi-structured interviews and participant observation of operational activities. The findings indicate that high levels of competition, particularly from new entrants offering lower prices, directly influence the survival strategies of business owners. Adaptive adjustments were implemented through menu innovation, product quality maintenance, and strengthening relationships with loyal customers. Furthermore, the presence of educational institutions and socio-economic activities around business locations supports demand stability, especially from student segments. Strategic physical location enhances both visibility and accessibility but simultaneously intensifies competition. Conceptually, this study highlights that the sustainability of small-scale culinary enterprises is determined not only by internal management capacity but also by the ability to interpret, anticipate, and respond to external dynamics. Consequently, continuous adaptive strategies, product differentiation, and consumer network strengthening are essential prerequisites for culinary micro and small enterprises to maintain competitiveness in a highly competitive market.

This study aims to analyze the influence of Customer Experience and sales promotions on repurchase intention of Nivea Men consumers in Medan City. The background of the study is based on the increasing competition in the men's skincare industry which demands effective marketing strategies to maintain consumer loyalty. The research method uses a quantitative approach with an associative research type. The research sample consisted of 96 respondents determined by purposive sampling technique. The results showed that Customer Experience has a positive and significant effect on repurchase intention, with the Sense indicator as the dominant factor. Sales promotions also proved to have a positive and significant effect, with promotion quality as the most influential indicator. Simultaneously, both variables have a significant effect on repurchase intention, with Exploratory Interest as the highest indicator, which confirms that positive experiences and quality promotions can encourage consumers to make repeat purchases while exploring other products from the same brand. The implications of this study emphasize the importance of strengthening the Relate dimension in Customer Experience, consistent promotion frequency at strategic moments, and product differentiation to strengthen consumer preferences.

The younger generation born in the digital age has great potential to support tax collection. However, the low level of tax compliance among the younger generation is a major concern, especially in the digital age, where the use of online tax services is not yet optimal, tax literacy is still limited, and a lack of socialization is an obstacle to utilizing digital services. This study aims to analyze the influence of preferences for digital tax services and tax literacy on tax compliance among the younger generation at the Majalaya Tax Office. The study uses a quantitative approach with surveys as the data collection method. The sample consists of young taxpayers registered at the Majalaya Tax Office, and the data is analyzed using linear regression to test the partial and simultaneous effects of independent variables on tax compliance. The results show that digitalization preferences have a positive and significant effect on tax compliance, indicating that younger generations who are more responsive to digital services tend to be more compliant. Tax literacy also has a positive and significant effect, showing that a sufficient understanding of tax rights, obligations, and regulations encourages compliance. Simultaneously, the combination of digitalization preferences and tax literacy significantly affects tax compliance, with a coefficient of determination of 0.438, meaning that 43.8% of the variation in compliance can be explained by these two variables. The findings of this study emphasize the importance of integrating easy access to digital services and improved tax literacy to encourage tax compliance among the younger generation.

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition