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This research is inspired by the extraordinary success of the domestic animated film titled Jumbo, which managed to set a new record and trigger a wave of overwhelmingly positive sentiment responses on the Instagram social media platform. Its main focus is to provide a deep qualitative interpretation of audience sentiment data that was previously collected and quantitatively evaluated by Prasetia (2025) from 764 original comments, which were then filtered down to 221 samples. The approach applied involves secondary data analysis by reviewing the frequency of Prasetia's data through the lens of social identity theory and collective efficacy theory. The results of the analysis reveal that the prevalence of positive sentiment at 68.7% does not merely reflect a simple evaluation of the film but also serves as a fundamental expression of shared pride and in-group preference. Expressions of support that emphasize appreciation for the achievement and national pride over the work of local creators act as a tool for strengthening social bonds, reinforcing the national identity linked to achievements in the film sector while also demonstrating the audience's collective belief in the potential of the domestic animation industry (mastery experience). Practically, the recommendation for local film promotion strategies is to highlight narratives about shared accomplishment and national pride to build audience loyalty and continuous interaction in the digital environment.

This study aims to synthesize the relationship between learning styles and instructional media in optimizing 21st-century skills among Diploma Three (D3) vocational students. The research employed a simple literature review method by analyzing 20 national and international journal articles published between 2018 and 2024. The results reveal that the alignment between learning styles (visual, auditory, kinesthetic) and the types of instructional media significantly influences the development of critical thinking, creativity, communication, and collaboration skills. Technology-based media, such as interactive videos, learning management systems (LMS), and virtual simulations, effectively accommodate diverse learning preferences while enhancing students’ motivation and engagement. Furthermore, integrating such media not only supports individual learning needs but also fosters a more dynamic and inclusive educational environment. The study concludes that integrating learning styles with digital-based media serves as an effective strategy to produce competent and adaptive vocational graduates who are well-prepared to face the challenges of Industry 4.0 and Society 5.0.

This systematic literature review examines the relationship between learning styles and learning media in optimizing 21st-century skills among Diploma Three (D3) vocational students. Through systematic analysis of 74 relevant national and international journal articles published between 2018 and 2024 from Scopus database, this study reveals that the alignment between learning styles (visual, auditory, kinesthetic) and learning media significantly influences the development of critical thinking, creativity, communication, and collaboration skills. Technology-based media such as interactive videos, learning management systems (LMS), and virtual simulations effectively accommodate diverse learning preferences while enhancing students' motivation and engagement in the learning process. The findings indicate that e-modules integrating problem-based learning (PBL) demonstrate effectiveness rates of 65-85% in improving critical thinking skills. This research concludes that the integration of learning styles with digital-based learning media serves as an effective strategy to produce competent and adaptive vocational graduates who are well-prepared to face the challenges of Industry 4.0 and Society 5.0.

The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus are crucial. To address these shortcomings, we propose "ArchEvolve," a novel framework designed to facilitate collaborative, multi-architect decision-making. ArchEvolve employs a cooperative coevolutionary model that concurrently evolves a population of candidate architectures and distinct populations representing each architect's unique preferences. This structure guides the search towards high-quality consensus solutions that accommodate diverse, often conflicting, stakeholder viewpoints. An integrated Artificial Neural Network (ANN) serves as a preference learning module, trained on explicit team feedback to act as a surrogate evaluator. This active learning cycle substantially reduces the number of required human interactions and alleviates user fatigue. Empirical evaluation on two industrial case studies (E-Commerce System and Healthcare Management System) compared ArchEvolve to a state-of-the-art interactive baseline. Results indicate that ArchEvolve achieves statistically significant improvements in both solution quality and consensus-building. The preference learning module demonstrated over 90% accuracy in predicting team ratings and reduced human evaluations by up to 46% without compromising final solution quality. ArchEvolve provides a practical, scalable framework supporting collaborative, consensus-driven architectural design, making interactive optimization a more viable and efficient tool for real-world software engineering teams by intelligently integrating cooperative coevolutionary search with a preference learning surrogate.

In January 2025, automatic motorcycles recorded a fantastic market share of 93.75% of total sales. This figure confirms Indonesian consumers' preference for the practicality and comfort offered by automatic motorcycles. This trend shows a shift in consumer interest, with consumers now preferring automatic motorcycles for their daily mobility needs over manual motorcycles. The purchase decision is a stage in the decision-making process until the consumer actually buys the product. Based on the background of the research through interviews, the researcher found that sales of Honda Beat motorcycles at the Taruna Adi Prima branch in Pati city fluctuated annually. Based on this background, the researcher was interested in determining the influence of price, product quality, and brand image on purchasing decisions. The number of respondents was 100 who had purchased Honda Beat motorcycles at the Taruna Adi Prima branch in Pati City, which became the sample for this quantitative study. Based on the research results, the price variable did not have an influence on purchasing decisions, but product quality had a positive and significant influence, and brand image also had a positive and significant influence with a significance value (sig) of 0.000 < 0.05.

Research aims to explore the influence of robo-advisor usage, trust in artificial intelligence (AI), financial literacy, and risk tolerance on investment behavior and its impact on the portfolio performance of retail investors in Indonesia. This study applies a quantitative approach, collecting data from 100 respondents who use investment applications such as Bibit, Ajaib, and Bareksa through the distribution of structured questionnaires with a 5-point Likert scale. Data analysis was carried out using the Structural Equation Modeling (SEM) technique. The results indicate that the four independent variables robo-advisor usage, trust in AI, financial literacy, and risk tolerance significantly affect investment behavior, which in turn has a positive effect on portfolio performance. High trust in AI combined with strong financial literacy fosters more disciplined and rational investment behavior. These findings highlight the importance of effective AI technology integration, improving financial literacy, and managing risk preferences to enhance investment decision-making quality and financial well-being. The study contributes to behavioral finance literature and offers practical implications for fintech developers and policymakers in emerging markets.

Digital transformation in Indonesia's financial sector has accelerated the adoption of cashless payment systems, with QRIS (Quick Response Code Indonesian Standard) as the main innovation since its introduction by Bank Indonesia in 2019. Generation Z, as a digital native group, is the dominant user of QRIS due to their preference for fast, practical, and connected services. This study aims to empirically analyze the influence of lifestyle, ease of use, trust, and financial attitudes on the decision to use QRIS by Generation Z in Bogor Regency, as well as test the role of financial literacy as a moderation variable. The research approach uses quantitative methods through inferential statistical analysis. The results showed that only the variables of ease of use and financial attitude had a significant effect on the decision to use QRIS, with a significance value of < 0.05 and t calculated > t table. These findings reinforce the Technology Acceptance Model (TAM) model, which emphasizes the importance of the perception of convenience in driving the adoption of digital payment technology. Meanwhile, the variables of lifestyle and trust did not have a significant effect, which may be due to the level of general trust that has been formed in QRIS and the digital lifestyle of respondents who have not fully developed. These results confirm the need to develop a more intuitive user experience and increase education related to digital financial literacy to strengthen the sustainable use of QRIS among Generation Z.

This study aims to determine the influence of brand awareness, brand association, and brand loyalty associated with brand equity on consumer purchase decisions in using GO-JEK services in Depok City. These three variables were analyzed both partially and simultaneously to identify the degree of their influence on consumers' decisions in choosing online transportation services. The research method used is a quantitative approach with the distribution of questionnaires as a data collection instrument, while the analysis is carried out using inferential statistical techniques. The results show that partially the variables of brand association and brand loyalty have a significant and dominant influence on purchasing decisions. This indicates that consumers' perception of the image and emotional connection with the GO-JEK brand plays an important role in the decision to choose the service. In addition, the results of the simultaneous test showed that brand awareness, brand association, and brand loyalty together had a positive and significant influence on purchasing decisions. These findings confirm that strong brand equity is an important factor in increasing consumer interest and preference for GO-JEK services. Therefore, companies need to maintain and strengthen branding strategies to increase competitiveness and maintain customer loyalty.

This study explores how resource-constrained small and medium-sized enterprises (SMEs) in Indonesia’s advertising sector adapt digital transformation strategies to achieve sustainable development. Using the case of Roxy Maharewa, an SME in Makassar–Gowa, the research examines strategic trade-offs between investing in advanced digital platforms and operationally transformative physical assets. Guided by the Resource-Based View, Strategic Trade-off Theory, and Contingency Theory, this qualitative case study employs semi-structured interviews with key decision-makers. Findings reveal that prioritizing high-capacity production equipment eliminated structural cost disadvantages from outsourced printing, enabling twice to fourth times potential profit margin gains and strengthening market competitiveness. Rather than adopting a fully digital-first approach, the firm employed a hybrid strategy leveraging low-cost digital tools for internal efficiency while maintaining offline relationship management to align with client preferences and infrastructural realities. This asset-led hybrid model demonstrates how SMEs in emerging markets can integrate selective digital adoption with tangible investments to achieve both rapid returns and long-term sustainability. The paper contributes to the discourse on digital transformation by providing a context-sensitive perspective for policymakers and practitioners, emphasizing that in heterogeneous digital readiness environments, blended strategies can deliver superior economic and social.

The assessment of student achievement is one of the main indicators in measuring the effectiveness of the educational process in Islamic boarding schools. The assessment process that has been carried out manually tends to be subjective, so it has the potential to cause a discrepancy between the student's achievement and the results of the evaluation received. This research aims to develop a decision support system that is able to assess student achievement in an objective, measurable, and transparent manner by applying the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method. This method is used because it has the ability to manage various assessment criteria simultaneously to produce fair and rational alternative rankings. The research approach used is quantitative descriptive by involving a number of students as research samples. The data was analyzed through the stages of determining weight, calculating preference values, and determining the values of leaving flow, entering flow, and net flow as the basis for determining the final ranking. The results of the study show that the PROMETHEE method can provide consistent and accurate ranking results, by placing students who have academic excellence, discipline, and positive personalities in the top position. These findings prove that the PROMETHEE method is effective in overcoming the subjectivity of the assessment and increasing the transparency of the evaluation process. Practically, the resulting system can help the pesantren in determining outstanding students more efficiently and based on data, as well as theoretically strengthen the application of multicriteria decision-making methods in the context of Islamic education.’

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 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.

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.

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.

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.  

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.