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This study aims to evaluate and improve the user interface (UI/UX) design of the e-learning platform at MTsN 33 Jakarta using the User Centered Design (UCD) method. This method is applied to identify user needs and preferences through observation, interviews, and questionnaires, and to generate design solutions focused on comfort and ease of use. The development process begins with the creation of a wireframe (low-fidelity prototype), followed by the creation of a high-fidelity prototype using Figma software. Evaluation is conducted using the System Usability Scale (SUS) to measure the usability of the system, comparing the old system and the new design. The analysis results show that the old design has an average SUS score of 48.71, categorized as "Not Acceptable" with a "Poor" rating, while the new design achieved a score of 82.00, categorized as "Acceptable" with an "Excellent" rating. These findings indicate that the application of UCD successfully improved usability and user experience, contributing significantly to the development of a more intuitive and responsive e-learning system that meets user needs.

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.

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

This study analyzes the role of millennials and Gen Z in driving the growth of halal e-commerce in Indonesia. The global halal industry is projected to reach US$3.36 trillion by 2028, underscoring the importance of strengthening halal e-commerce in Indonesia, which has the largest Muslim population in the world (Kawsar, 2025). Millennials and Gen Z are the dominant users of the internet and digital marketplaces, thus playing a strategic role in expanding the digital halal economic ecosystem. This study uses a qualitative approach with literature studies and in-depth interviews with consumers and halal digital business actors. The analysis focuses on digital behavior, halal product preferences, and awareness of sharia economic principles. The results show that millennials and Gen Z contribute through three main roles. First, as smart consumers who show high preference and loyalty to certified halal products. Second, as creative business actors who create sharia startups and marketplaces with innovative digital marketing strategies. Third, as agents of change who promote digital halal literacy and strengthen public awareness of the importance of halal products and services. In conclusion, the role of these two generations is not only in consumption, but also in creating a sustainable digital halal business ecosystem, strengthening Indonesia's competitiveness in the global halal industry, and supporting national sharia economic development.

The Digital transformation in Indonesia’s fast-food industry has accelerated the adoption of self-ordering technology to improve operational efficiency and customer experience. However, the implementation of such systems faces several technical, operational, and social risks that may hinder success. This study aims to analyze the optimization of risk management in the development of self-ordering applications for Indonesian fast-food restaurants. A qualitative approach through a literature review was employed to identify key risk factors and mitigation strategies based on academic sources published between 2020 and 2024. The findings reveal that a comprehensive and contextual risk management approach is critical for successful implementation. Technical risks can be minimized through staged system testing and robust data security, while operational risks can be mitigated through employee training and effective change management. Moreover, adapting system design to local cultural and consumer preferences enhances user acceptance. The study concludes that applying risk management frameworks such as ISO 31000 and PMBOK can strengthen the digital transformation of Indonesia’s fast-food industry and provide practical guidance for decision-makers in managing technology-based restaurant operations.

The purpose of this study is to analyze the potential and development strategies of the historical tourism site “Jejak Bung Karno” (The Footsteps of Bung Karno) in Ende Regency, as well as to design an Android-based digital media to enhance the overall visitor experience. Ende is recognized for its profound historical value as the place where the foundational ideas of Pancasila were first conceived, and it is home to several important sites such as the Bung Karno Exile House and the Pancasila Reflection Park. However, the management of this destination remains suboptimal, particularly in terms of promotion, the application of digital technology, and the delivery of engaging tourist information. The user interface design was developed using Figma software, while user experience testing was conducted through the User Experience Questionnaire (UEQ) involving 35 participants. The results indicate that the Attractiveness (2.027) and Perspicuity (3.804) aspects received “excellent” ratings, while Efficiency, Dependability, Stimulation, and Novelty were categorized as “above average.” These findings suggest that the application interface design aligns well with user needs and preferences. Furthermore, the study highlights that the implementation of Android-based technology contributes positively to the digitalization of historical tourism, broadens promotional reach, and strengthens the identity of “Ende Bumi Pancasila” as an educational and cultural tourism destination in the era of digital transformation.

The rapid development of information technology has had a significant impact on various aspects of life, including the decision-making process that requires precision and objectivity. One of the problems often faced is product selection with various complex criteria, for example in selecting a quality drum. Drums as a percussion instrument have many variations in terms of sound quality, material, design, price, and durability, so a system is needed that can assist users in making a more rational choice. This study aims to develop a website-based Decision Support System (DSS) using the Weighted Product (WP) method to provide recommendations for drum selection. The WP method was chosen because it is able to perform calculations by considering the weight of each criterion so that the recommendation results are more objective. The system implementation is carried out through the design of a user-friendly web-based interface, making it easier for users to access, compare alternatives, and obtain recommendations without having to perform manual assessments that are time-consuming and potentially subjective. System testing was carried out by comparing the results of the system's recommendations with expert assessments, which obtained an accuracy level of 95%. These results indicate that the developed system has a high level of reliability and is suitable for use as an aid in decision-making in selecting quality drums. With this system, it is hoped that users, both beginners and professionals, will find it easier to choose drums that suit their needs and preferences.

The existence of a new design of this sortali is able to provide satisfaction to users in Batak Toba cultural events themselves. This writing aims to tell an interesting design in the more modern development of sortali. The design results in the form of a documentary video that provides information related to the existence of a new design on sortali that is ready to be used for major Batak Toba cultural events, especially weddings. The new design of sortali in Batak Toba culture brings fresh perspectives to the traditional accessory, which has long been a symbol of cultural pride and identity. The updated design not only maintains the core values of Batak Toba craftsmanship but also integrates modern touches that cater to the preferences of today’s younger generation. This innovative approach is expected to meet the demands of Batak Toba cultural events, where authenticity and tradition are highly valued, while also introducing a more contemporary aesthetic that appeals to a wider audience. The documentary video serves as an informative tool to highlight this evolution in sortali design. Through engaging visuals and interviews with local artisans and cultural experts, the video offers an in-depth look at the process of redesigning this iconic piece of cultural attire. It sheds light on the challenges and successes of merging tradition with modernity, demonstrating how the new design respects Batak Toba heritage while embracing innovation. By featuring real-life applications of the redesigned sortali in major cultural events, especially weddings, the video illustrates its functionality and versatility in contemporary settings. Moreover, the design of the new sortali is not just about aesthetics; it is also a statement about preserving cultural heritage in the face of modernization.

The study also emphasizes the growing role of technology in enhancing the travel experience for senior citizens. With the rapid digitalization of various industries, including the travel sector, the elderly population is increasingly using mobile applications to plan and book trips. However, older adults often face challenges in adapting to new technologies due to physical, cognitive, or sensory limitations. This study’s results underscore the importance of addressing these barriers in the design of travel applications for seniors. The ease of use and perceived usefulness of these applications are not just about functional features but also about how accessible and user-friendly the design is for older users. In addition to the perceived usefulness and ease of use, it is essential for developers to consider the specific needs and preferences of senior travelers, such as larger fonts, clear navigation, and easy-to-understand instructions. Ensuring that these features are incorporated can greatly enhance the adoption of travel applications among the elderly and improve their overall experience. The findings also suggest that fostering trust and confidence in technology among older users can increase their willingness to engage with digital platforms. Furthermore, future research could explore how other factors, such as social influence or experience with technology, interact with perceived ease of use and perceived usefulness to further explain seniors’ behavioral intentions toward digital travel applications. By addressing these factors, developers can create more inclusive and accessible services that cater to an aging population. As the digital landscape continues to evolve, it is crucial to ensure that seniors are not left behind, and that they can enjoy the same convenience and benefits that digital travel services offer to younger generations.

The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.

Gojek, as a leading on-demand service company in Indonesia, continues to leverage technological advancements and shifts in consumer behavior from offline to online shopping. One of its flagship services, GoFood, faces challenges in maintaining its market position and increasing the number of transactions due to increasing competition in the food delivery industry. This study aims to explain the role of positive emotions in mediating the influence of promotional appeals on impulse purchases among GoFood customers. This study uses consumer behavior theory and the Stimulus-Organism-Response (S-O-R) model as a theoretical basis. The study was conducted in Denpasar City, involving 180 respondents through a survey method using questionnaires distributed offline and online. The sampling technique used was non-probability sampling with a purposive sampling approach. Data analysis was carried out using path analysis, classical assumption tests, Sobel tests, and Variance Accounted For (VAF) tests with the help of SPSS 25 software. The results showed that all proposed hypotheses were accepted. Promotional appeals had a positive and significant effect on impulse purchases. Promotional appeals also had a positive and significant effect on positive emotions. Furthermore, positive emotions also significantly influence impulse buying. Positive emotions have been shown to partially mediate the effect of promotional appeal on impulse buying. Practical implications of this research suggest that GoFood optimize attractive discount promotions by providing users with greater flexibility and control to evoke positive emotions that encourage impulse buying behavior. Discount promotions should be designed creatively and personally, using engaging visuals, persuasive language, and offers tailored to customer preferences.

This study aims to determine the influence of marketing communications through Instagram on Generation Z's shopping interest in Makassar, with a focus on dyaozha clothing products. A qualitative approach was adopted, utilizing methods such as observation, documentation, and in-depth interviews with Generation Z consumers. The research participants included shop owners and followers of the dyaozha Instagram account. The findings reveal that marketing communications through Instagram—particularly through the use of engaging visual content, appealing design implementation, and active interaction—play a crucial role in shaping Generation Z's shopping interest. Instagram features such as Stories, Reels, interactive polls, and comment sections enable brands to connect more personally with potential buyers. Attention-grabbing content helps build initial interest, while endorsements and testimonials contribute to trust and credibility. Furthermore, consistent interaction between the brand and followers fosters emotional connection and brand loyalty. These factors collectively influence both interest and purchasing decisions among the Gen Z demographic. The study concludes that dyaozha’s strategic use of Instagram marketing communications has proven effective in influencing the shopping behavior of its target audience. Recommendations for dyaozha include the continuous optimization of Instagram's interactive features—such as Q&A sessions, behind-the-scenes content, and user-generated content campaigns—to sustain engagement and improve conversion rates. Additionally, it is suggested that dyaozha expands its reach by targeting broader market segments and utilizing data-driven content strategies to adapt to evolving consumer preferences. This research highlights the vital role of social media in modern marketing strategies, especially when targeting digitally native audiences like Generation Z.

This study aims to explore the behavioral dynamics of Generation Z (Gen Z) toward digital culinary brands on TikTok, a platform increasingly central to youth consumer engagement. The research investigates how Gen Z interacts with, interprets, and forms relationships with culinary content in a digital environment shaped by algorithmic trends and participatory culture. Employing a qualitative phenomenological approach, data were collected through in-depth interviews with 12 Gen Z participants aged 18–24 years who actively engage with culinary brand content on TikTok. Additional data were obtained from observational analysis of brand-related content and user interactions on the platform. Thematic analysis revealed three core themes: emotional engagement with sensory-rich food content, digital consumption as identity performance, and expectations of brand authenticity and interactivity. Participants expressed strong affective responses to visually appealing and immersive content, linked their brand preferences to personal values and social identity, and favored brands that demonstrated responsiveness, humor, and human-like interaction. These findings highlight the role of TikTok not only as a marketing tool but as a cultural space where brand perception and loyalty are socially constructed. This study contributes to the theoretical understanding of consumer engagement by situating Gen Z’s behavior within a sociocultural and digital framework. Practically, it offers insights for culinary brands to develop more authentic, interactive, and value-driven content strategies. The findings also suggest implications for digital marketing policies and content regulation. Future research is recommended to explore cross-platform behaviors and cultural variations in digital brand engagement.

The need for adaptive and personalized learning systems is increasing along with the advancement of information technology. Informatics students face challenges in choosing materials that suit their abilities and interests. This research aims to design and evaluate an Generative AI-based independent learning recommendation system in Indonesian that can help students navigate the learning process more efficiently. The system utilizes a generative language model to provide relevant learning material suggestions based on students' individual learning history and preferences. This study uses a software engineering approach and experimental evaluation. The dataset is collected from various reference sources of learning and user interaction with the system. The Generative AI model is trained to generate contextual and Indonesian-language content recommendations. The results of the evaluation show that this system is able to increase the effectiveness and satisfaction of students' independent learning. These findings confirm the great potential of generative AI technology in supporting higher education, particularly in supporting personalized learning in local languages.

This study aims to examine how the construction of sexuality is represented and perceived through Instagram social media. As a dominant visual platform, Instagram plays an important role in shaping body image, gender, and intimate relationships that are often influenced by popular culture, media algorithms, and prevailing social norms. Using a qualitative approach and in-depth interview method with six informants, this study found that the representation of sexuality on Instagram generally reflects ideal body standards, which can cause social and psychological pressures, such as body anxiety, insecurity, and objectification. On the other hand, some users also see Instagram as a space for self-expression, empowerment, and education, especially for those who have a critical awareness of the social construction behind the content. Perceptions of ideal sexuality also vary widely, depending on the cultural background, personal experiences, and visual preferences of each user. These findings emphasize the importance of media literacy and critical reflection so that social media can become a healthier, fairer, and gender-inclusive digital space.

This study aims to analyze the influence of social media on consumer behavior in online purchases among Generation Z, focusing on the Shopee e-commerce platform. Generation Z, which is the age group born between 1997 and 2012, is known to be an active social media user, which influences their purchasing decisions. Through a survey conducted on Shopee users from Generation Z, this study identified factors that influence consumer behavior, including the influence of advertising, product reviews, and interactions with influencers on social media. The results of the study show that social media plays a significant role in shaping the preferences and purchasing decisions of Generation Z. Interesting advertisements and positive reviews from other users on social media can increase purchasing interest, while interactions with influencers can provide additional trust in the products offered. This study provides important insights for marketers to design effective and relevant marketing strategies with Generation Z consumer behavior in the digital era.

Consumer behavior, especially in online shopping, has evolved significantly due to advances in digital technology. The researcher aims to examine how price and product quality affect customer purchases on Tokopedia. A quantitative research approach was used, involving 52 active Tokopedia users as respondents. Data were analyzed using multiple linear regression through IBM SPSS version 29. The findings show that product quality and price have a significant influence and lead to a positive impact in shaping consumer purchasing decisions. Between the two, price has a greater influence, with a coefficient value of 0.413 compared to 0.272 for product quality. The R² value of 0.419 indicates that both elements contribute 41.9% of the variance in purchasing decisions. These results highlight the importance of a competitive pricing strategy and providing products that meet customer expectations to drive sales on digital platforms. However, other elements such as customer reviews, service quality, and seller reputation should also be considered to support better purchasing decisions.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

TikTok has transformed into an effective digital marketing platform, not only for introducing products but also for shaping impulsive shopping behavior. This study aims to analyze the impulsive shopping behavior of Generation Z on TikTok Shop. The research was conducted using a qualitative descriptive approach, with data obtained from digital searches and observations. The findings indicate that Generation Z has a strong interest in utilizing the TikTok Shop feature within the TikTok application, making it one of their preferred alternatives for online shopping transactions. TikTok significantly influences Generation Z’s shopping behavior, as they tend to purchase products after seeing them on the platform. Businesses leverage TikTok as an efficient marketing tool, particularly through creative content, short videos, and influencer recommendations. By utilizing an algorithm that tailors content to users’ preferences, TikTok Shop creates offers that appear attractive to consumers. Generation Z is often influenced to buy items they do not actually need. Sudden purchases driven by emotions—such as low prices or limited-time offers—often lead them to overlook product quality. As a generation living in the digital era, Gen Z needs to better regulate their impulsive consumer behavior. Wisely utilizing technology and understanding the marketing strategies used by platforms like TikTok Shop can help them avoid excessive impulsive spending. By prioritizing needs over wants and carefully considering the value and benefits of a product before purchasing, Gen Z can become smarter and more responsible consumers.

The 2024 National Financial Literacy and Inclusion Survey shows that many Indonesians still do not understand financial fundamentals. This condition contributes to difficulty in managing personal finances. Therefore, financial education from an early age is needed to help people develop healthy financial habits. One effective medium for delivering financial education is a children’s savings book. However, most available savings books are less attractive and do not align with children’s preferences. This study aims to develop a children’s savings book design by integrating educational elements, such as a temporary money storage, based on users’ preferences. The Quality Function Deployment (QFD) approach was used to translate customer needs into product visualization. Data were collected through expert discussion, interviews, and questionnaires distributed using purposive sampling. The results show that the highest-priority feature for further development is the temporary money storage integrated into the book’s cover. This element was then incorporated into the children’s savings book design, while considering both functional and educational aspects.