Publication Search

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

The purpose of this study is to focus on the role of innovative governance in supporting the digitalization of sustainable mobility to improve the efficiency and accessibility of urban transportation. This study aims to investigate the potential of the bright governance concept to accelerate digital transformation in Makassar City's transportation system. The research method used is a qualitative approach with data collection techniques through in-depth interviews, field observations, policy document analysis, and Focus Group Discussions (FGD). Key informants include local governments, transportation operators, academics, and community users of transportation services. The data obtained were analyzed using NVivo 12 Plus to identify patterns and relationships in digital transportation policies. The findings of this study indicate that transportation digitalization in Makassar City through Teman Bus Trans Mamminasata, QRIS payments, and intelligent transportation systems has successfully improved the efficiency, transparency, and quality of public services, as seen from the increase in the number of passengers despite still facing challenges such as declining interest in paying fares, public preference for private vehicles, limited information, and competition from other modes. The sustainability of this innovation depends on the implementation of an innovative governance model with cross-sector collaboration, data transparency, public participation, and analytics-based decision-making to realize modern, inclusive, and sustainable urban mobility in Makassar.

This study aims to analyze the diffusion of the SIMPEL-DUKCAPIL innovation in population administration services in Bengkalis Regency. The study employs a descriptive qualitative approach using Everett M. Rogers’ diffusion of innovation theory, which includes five attributes: relative advantage, compatibility, complexity, trialability, and observability. Data were collected through interviews, observation, documentation, and triangulation involving 19 informants consisting of officials from the Population and Civil Registration Office and service users. Data analysis was conducted using the Miles and Huberman interactive model, including data reduction, data display, and conclusion drawing. The results show that SIMPEL-DUKCAPIL provides relative advantages in improving time efficiency, cost savings, and service accessibility, particularly for communities in archipelagic areas. The data indicate 2,311 application users in 2025 with unequal distribution across sub-districts, along with 107 blank spot areas that hinder digital service access. The compatibility and observability dimensions are relatively strong, as the application aligns with service needs and its benefits are directly perceived by users. However, the adoption process remains suboptimal due to challenges in complexity and trialability, including low digital literacy, limited internet infrastructure, technical system issues, and user preference for face-to-face services. This study highlights that innovation diffusion in archipelagic regions is not solely determined by application quality, but also by infrastructure readiness, socialization strategies, and community digital capabilities.

This study aims to analyze the influence of perceived enjoyment and perceived playfulness on intention to continue using the Netflix application, focusing on Generation Z users in Kolaka Regency. The rapid development of digital technology has transformed entertainment consumption behavior from conventional media toward streaming-based services that are more flexible, personalized, and easily accessible. Netflix has become one of the widely used digital entertainment platforms because it offers diverse content, personalized recommendations, and viewing experiences that align with users’ preferences. In the context of Generation Z, enjoyable and engaging user experiences are particularly important because this group is characterized as digital natives, tends to prefer varied content, and is likely to switch to other platforms when the experience does not meet their expectations. This study employed a quantitative approach using a survey method. The sample consisted of 100 Netflix users residing in Kolaka Regency, selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed with Structural Equation Modeling-Partial Least Square (SEM-PLS). The results indicate that perceived enjoyment has a positive and significant effect on intention to continue using. This finding suggests that the higher the comfort, satisfaction, and enjoyment perceived by users, the stronger their intention to continue using Netflix. Furthermore, perceived playfulness also has a positive and significant effect on intention to continue using. This means that an interesting, curiosity-arousing, and attention-focused experience can strengthen users’ continuance intention. This study confirms that the continued use of digital entertainment applications is influenced not only by functional aspects but also by emotional value and interactive experiences perceived by users.

The development of digital technology has significantly transformed consumer purchasing behavior in recent years. Shopping activities that were previously conducted in person have now shifted to e-commerce and social commerce platforms that offer greater convenience, speed, accessibility, and a variety of attractive promotions. Two platforms experiencing rapid growth in Indonesia are Shopee and TikTok Shop, both of which have gained popularity among diverse consumer segments. These platforms not only offer a wide range of products but also provide interactive shopping experiences through features such as promotions, live shopping, consumer reviews, personalized recommendations, and ease of transactions. This situation has led to notable changes in consumers' purchasing decision-making processes and preferences. Factors such as app usability, promotional strategies, consumer trust, social media influence, user engagement, and evolving digital lifestyles are becoming increasingly dominant in determining purchasing decisions. Therefore, this study aims to analyze the key factors influencing consumer purchasing decisions on the Shopee and TikTok Shop platforms in the digital era, as well as to provide deeper insights into consumer behavior in an increasingly digital marketplace.

Social media has brought significant changes in the way humans interact, construct meaning, and shape social identities. In Indonesia, TikTok is the most widely accessed social media platform, reaching 32% of users. TikTok is not only a medium of entertainment but also a space for the production and reproduction of values, tastes, and social standards. The TikTok algorithm presents personalized content according to user preferences, creating a continuous flow of information that is visually and repetitively consumed. From an anthropological perspective, this article aims to analyze how algorithms influence the formation of digital identity and generate new status symbols in virtual spaces. This research uses a qualitative approach with ethnographic methods and literature studies on TikTok usage practices. The results of the study show that indicators of popularity such as the number of views, followers, likes, and interaction rates become new forms of status symbols that represent users’ social influence in the digital world. From an anthropological perspective, TikTok can be understood as a new cultural space where algorithms act as structural agents that influence social practices, identity production, and symbolic hierarchies within digital society. This study emphasizes that algorithms function not only as technical technologies but also as cultural forces that shape how individuals understand themselves and their social positions within the social media ecosystem.

The structural realignment of public sector governance, catalyzed by rapid technological evolution, has compelled PT Pos Indonesia to institute the Pospay digital ecosystem. Nonetheless, this paradigm shift frequently collides with deeply entrenched sociological resistance in empirical settings. This inquiry endeavors to scrutinize the service quality of Pospay while exploring the systemic challenges posed by conventional transaction habits at the Main Branch Post Office in Surabaya. Adopting a descriptive qualitative approach, empirical data were garnered through semi-structured interviews, non-participant field observations, and institutional document analysis. Informants were selected via purposive sampling, encapsulating the operational manager, a front-line service officer, and a service consumer. Data processing adhered to the interactive analysis framework of Miles, Huberman, and Saldaña (2014). Framed through Parasuraman’s SERVQUAL model, the analytical results demonstrate that while the responsiveness and assurance parameters operate at an optimal level, the reliability dimension remains disrupted by sporadic system latency. More significantly, a profound cultural lag actively decelerates this technological migration. Service users manifest a chronic reliance on physical counters, structured by marginal digital literacy, a psychological mandate for physical artifacts as transaction validation, and a preference for real-time interpersonal encounters. Adaptive institutional countermeasures specifically on-site digital mentorship and hybrid validation mechanisms have been strategically deployed to attenuate this sociocultural disconnect.

The development of artificial intelligence technology is a great opportunity for the fashion industry, especially in designers based on personalization and consumer needs. This study aims to examine Midjourney's AI technology in the design personalization process by integrating solid data and consumer style preferences. This research is expected to support the concept of mass customization in the fashion industry and increase the relevance of design to user character. This research uses a mixed method method by combining quantitative data and qualitative data. The research stages include body data collection and style preferences, prompt formulation, data-driven prompt formulation, design generation using Midjourney, design validation by experts and consumers, and integrated data analysis.The results showed that the majority of the designs produced were considered feasible in terms of construction (83%) and in accordance with the character of the consumer's body (75%). The modest and minimalist style categories received the highest personalization scores. The qualitative findings reinforce the quantitative results, showing that consumers feel the fit of the style and proportions of the design with the character of their bodies.The study concludes that Midjourney's AI integration in the fashion design process is able to effectively support design personalization, although it still requires the role of designers in technical refinement. This approach has the potential to be an innovative solution in the development of data-driven fashion design.

The development of digital technology has significantly transformed music consumption and marketing strategies in the creative industry. The shift from physical media to digital platforms, especially short-form video-based social media like TikTok, has created a new ecosystem that emphasizes interactivity, community participation, and organic music distribution. TikTok allows users to incorporate song snippets into creative content, positioning music as both entertainment and a symbol of digital identity. This shift reveals that music popularity is now primarily driven by recommendation algorithms and user-generated content rather than traditional promotion. This study adopts a qualitative descriptive approach with phenomenological analysis to explore the relationship between music consumption behavior and marketing strategies on TikTok. Findings indicate that algorithms act as digital curators, influencing audience preferences, while user participation accelerates the viral spread of songs through challenges, remixes, and content reproduction. Effective music marketing strategies must be data-driven, trend-responsive, and capable of leveraging users' emotional and social engagement. TikTok thus serves not only as a distribution platform but also as a space for constructing global popular culture. This study contributes to digital media scholarship and offers practical implications for designing sustainable marketing strategies in the ever-evolving digital ecosystem.

This study critically examines the emerging phenomenon of celebrity preachers as a significant form of religious commodification within the realm of digital da’wah. The rapid proliferation of social media has fundamentally transformed how religious messages are disseminated, with platforms like YouTube, Instagram, and TikTok becoming primary channels. Utilizing a quantitative methodology that combines comprehensive literature studies with online questionnaires distributed to social media users, this research investigates public perceptions regarding digital da’wah practices and high-profile preachers. The findings reveal a commodification process characterized by three key aspects: the tailoring of content to suit market preferences, the shift of audiences into active consumers, and the strategic construction of public images by preachers to sustain popularity. While respondents value the accessibility of digital da’wah, they strongly emphasize the necessity of ethical boundaries to preserve its spiritual essence. Consequently, digital da’wah requires sincerity, scholarly integrity, and moral responsibility to remain an authentic medium for Islamic teachings.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

This study aims to analyze the influence of terminal users’ perceptions on business development opportunities at Mangkang Type A Terminal, Semarang City, managed by the Central Java Class I Transportation Management Agency (BPTD). As a major transportation hub, the terminal functions not only as a passenger transit point but also as a strategic economic area with potential for commercial facility development. However, the utilization of business opportunities at Mangkang Terminal remains suboptimal, necessitating an evidence-based analysis of the factors that shape these opportunities. This research employs a quantitative approach using a survey method involving terminal users, including passengers, public transport drivers, and terminal visitors. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression to examine the influence of user perceptions on business potential, which includes interest in facility usage, demand for additional services, and preferences for commercial space utilization. The findings indicate that perceptions related to comfort, safety, cleanliness, accessibility, and service quality significantly affect business development opportunities. Comfort and service quality emerge as the most dominant factors driving user interest in commercial facilities. These results emphasize that improving terminal service quality can serve as an effective strategy to expand business opportunities and enhance non-tax revenue.

Urban mobility in Surabaya faces serious challenges due to the high ownership of private vehicles and the low use of public transportation. The Surabaya City Government launched Suroboyo Bus Electric in November 2024 as a sustainable transportation innovation on the Purabaya–ITS route. This study aims to analyze commuter preferences for the Suroboyo Bus Electric mode over private vehicles, by emphasizing functional factors (cost, travel time, comfort) and symbolic factors (status, identity, modern image). The research method used a quantitative descriptive approach with 400 respondents, primary data was obtained through questionnaires, while secondary data came from government documents and literature. The analysis was carried out through descriptive statistics, chi-square tests, and logistic regression. The results showed that the majority of respondents chose Suroboyo Bus Electric as the main mode (62%), with the dominance of young, middle-income users, and mostly women. Most of the respondents have one unit of private vehicle, but still use electric buses as a mode of complementing mobility. Travel destinations are dominated by social, economic, and educational activities, with an average travel time of 16–30 minutes. In terms of cost, more than half of the respondents spent Rp 5,000-Rp 10,000 per trip, indicating the affordability of fares. Symbolic factors also play an important role, where Suroboyo Bus Electric is perceived as a modern, clean, and sustainable city identity.

This study aims to investigate the impact of social media advertising on clothing choices at Universitas Dinamika Bangsa Jambi students. In today's world, where many people, especially young people who frequently shop online, often struggle to accurately determine the quality of items. A quantitative approach was employed, with a survey as the primary method of data collection. A questionnaire was distributed online via Google Forms and successfully elicited responses from 102 active students who are also social media users. The sampling technique used was purposive sampling, with participants selected based on criteria that matched the focus of the study. The data were then processed using SmartPLS 4 software with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the relationship between variables. The main findings indicate that social media promotions have a strong positive influence on students' clothing purchasing decisions. This underscores the crucial role of targeted advertising strategies in the digital world in shaping consumer preferences. This research is expected to serve as a guide for clothing entrepreneurs in developing online marketing plans that better suit the tastes and needs of students as their target market.

Rapid adoption of cashless payments has reshaped everyday spending, especially among young consumers. While e-wallets deliver speed and convenience, constant exposure to discounts, cashbacks, and one-click checkouts may also foster more frequent discretionary purchases. This study examines the relationship between e-wallet usage intensity and consumptive lifestyle, focusing on how convenience and promotional stimuli relate to spending tendencies. Using a cross-sectional online survey of students and early-career workers, we collected self-reports on payment habits and consumption patterns with validated Likert-type instruments. Data were screened and analyzed with correlation and linear regression after basic assumption checks. The results indicate a positive and statistically meaningful association between e-wallet usage and consumptive lifestyle; respondents who transact more often via e-wallets tend to report stronger preferences for instant gratification, hedonic purchases, and impulse buying. Convenience features (e.g., stored cards, fast checkout) and promotional exposure (e.g., limited-time deals) emerged as salient correlates of the relationship. The findings add contextual evidence from Indonesia’s digital economy and suggest practical implications for users, platforms, and educators. Financial-wellbeing interventions such as digital budgeting tips, in-app nudges, spend limits, or post-purchase reflections may help align seamless payments with healthier consumption decisions. Future work can test causal mechanisms and evaluate design features that encourage prudent, goal-consistent spending without diminishing user experience.

The rapid development of artificial intelligence has encouraged the widespread use of chatbots on social media platforms, transforming patterns of digital communication and interaction. This study aims to examine the role of chatbots in shaping social interaction, fandom dynamics, and users’ digital identities within contemporary online culture. The research employs a literature review approach using grounded theory as an analytical framework to identify patterns, themes, and emerging concepts from relevant academic publications published between 2021 and 2025. Articles were collected through academic databases and systematically selected based on predefined inclusion and exclusion criteria. The findings indicate that chatbots have shifted from being purely functional technological tools to becoming cultural actors that influence emotional engagement, community formation, and identity expression in digital spaces. Chatbots contribute to creating perceived emotional closeness, strengthening fandom interactions, and facilitating self-expression, particularly within popular culture and creative industries. However, the study also highlights several challenges, including emotional dependency, algorithm-driven homogenization of preferences, gender bias, and aggressive behavior in human–machine interactions. Cultural context plays a significant role in shaping user acceptance and interpretation of chatbots. These findings imply that chatbot development and implementation should consider not only technical efficiency but also social, psychological, and ethical dimensions to ensure responsible and inclusive digital interaction.

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.

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.

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 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.