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The integration of autonomous systems in traffic management has become increasingly important as urban populations and vehicle numbers continue to rise, leading to significant congestion. Traditional traffic signal control systems, which rely on fixed timing, are no longer sufficient to handle the dynamic and complex nature of urban traffic. To address these challenges, the proposed explainable Deep Reinforcement Learning (DRL) framework aims to optimize traffic signal control by dynamically adjusting traffic signals based on real-time data. This approach enhances traffic flow efficiency, reduces congestion, and improves overall system performance. The framework leverages Vehicle-to-Everything (V2X) communication, which enables real-time data exchange between vehicles, infrastructure, and other road users, extending the perception range of autonomous vehicles and providing valuable insights for traffic signal optimization. Additionally, the integration of smart infrastructure, such as smart intersections, plays a crucial role in enabling adaptive traffic management and facilitating better coordination across multiple intersections. One of the key advantages of the proposed system is its transparency, achieved through the implementation of explainable AI (XAI) techniques. These mechanisms provide clear insights into the decision-making processes, ensuring that traffic management authorities and system users can understand the rationale behind the system’s decisions. Although challenges such as data accuracy, scalability, and cybersecurity risks remain, the proposed DRL framework shows great promise in revolutionizing traffic management systems. Future research directions include enhancing data collection methods, improving the scalability of the system for larger cities, and further developing explainability features to improve trust and adoption in real-world applications.

This study aims to analyze the influence of Fear of Missing Out (FoMo) and flash sales on impulsive buying behavior among Shopee users, specifically focusing on students at Universitas Jambi. The rapid development of digital technology and the rise of e-commerce have increased the prevalence of impulsive buying, particularly among younger generations who are highly influenced by social media and online promotions. This research uses a quantitative approach with a survey method involving 100 active students of Universitas Jambi who are Shopee users and have made purchases during flash sale events. The data were analyzed using multiple linear regression to examine the effect of FoMo and flash sales on impulsive buying behavior. The results indicate that both FoMo and flash sales have a positive and significant influence on impulsive buying, both partially and simultaneously. These findings suggest that marketing strategies based on urgency and the fear of missing out are effective in triggering impulsive consumer behavior among students. This research is expected to contribute to the development of more ethical marketing strategies and raise consumer awareness in managing shopping behavior.

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.

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.

Employee performance represents the ability to fulfill tasks and responsibilities according to organizational standards. At UPTD Puskesmas Kosambi, the evaluation of Non-Civil Servant (Non-ASN) healthcare workers is still done manually and tends to be subjective, primarily based on attendance. This study aims to address the issue by developing a decision support system using the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. A descriptive-applied approach and the waterfall development model were employed. Five evaluation criteria were used: attendance (25%), service quality (35%), report timeliness (20%), patient complaints (10%), and lateness (10%). Data from 20 Non-ASN healthcare workers in April 2025 were analyzed, with Anis Julianti achieving the highest MOORA score of 0.3839. The system underwent validation through black-box testing and user acceptance testing (UAT), both confirming its accuracy and usability. The findings were compared with previous studies. Harningsih et al. (2024) used the MOORA method for promotion evaluations at the North Sumatra Provincial Inspectorate Office and recorded a top score of 0.3616. Dewi Yohana br Ginting et al. (2024) applied the method at a beauty clinic and found a top score of 0.3747. These comparisons indicate that the MOORA results in this study fall within a consistent and valid range. The developed decision support system is expected to enhance the objectivity, transparency, and accountability of performance evaluations for Non-ASN employees in primary healthcare services, offering a more comprehensive alternative to manual assessment methods.

This study aims to analyze the effect of ease of use and cashback on students' repurchase intention on the Lazada marketplace. The research employs a quantitative approach with a survey method. The sample was obtained using accidental sampling, involving 55 active student users of Lazada. The instrument used a closed-ended questionnaire with a Likert scale, and both validity and reliability were tested. Data were analyzed using multiple linear regression. The results show that ease of use and cashback both have a significant partial and simultaneous effect on repurchase intention.

In the rapidly evolving realm of digital communication, typography serves not only as a medium for conveying information but also as an expressive tool that bridges readability and emotional resonance. This study explores typographic expression in multilingual digital media, aiming to identify design strategies that enhance both legibility and affective impact across linguistic contexts. Employing a qualitative approach, the research analyzes case studies of contemporary digital platforms and conducts user testing with participants from diverse language backgrounds. The findings reveal that typeface selection, spacing, and typographic hierarchy significantly influence users' emotional perception and reading efficiency. Furthermore, the interplay between script-specific features and universal design principles emerges as a key factor in achieving balanced communication. The study concludes by proposing a framework for typographic design that harmonizes aesthetic sensibility with functional clarity, particularly in multilingual digital environments. These insights are intended to inform designers, developers, and researchers aiming to craft emotionally engaging yet readable digital interfaces for global audiences.

The implementation of Electronic Medical Records (EMR) in outpatient services aims to improve the efficiency, accuracy, and accessibility of clinical information. However, the effectiveness of such systems is highly dependent on user satisfaction. This study evaluated the satisfaction of health personnel using outpatient EMR at Sultan Fatah Regional Hospital, Indonesia, by employing the End User Computing Satisfaction (EUCS) model. The research addressed issues related to incomplete data, low system responsiveness, and interface usability that may affect the quality of service delivery. A qualitative descriptive method was used, involving in-depth interviews, direct observations, and document analysis from 21 informants selected purposively across multiple service units. The EUCS dimensions—content, accuracy, format, ease of use, and timeliness—were used to assess user experience. The findings indicate that users encountered problems such as incomplete patient data and duplicate records (accuracy), non-intuitive interfaces (format and ease of use), and delays in accessing medical information (timeliness). Observations and documentation review further revealed a reliance on manual backups and inconsistencies between digital and physical records. Overall, the study highlights the need for better data integration, enhanced user training, interface redesign, and system infrastructure upgrades to ensure real-time and comprehensive EMR usage. The study concludes that addressing technical and human factors through the EUCS model can enhance user satisfaction and system utilization in outpatient healthcare settings.

The purpose of this study was to see how promotions and live streaming features impact the decision of Shopee users to purchase fashion products in the 2022 intake. This quantitative study involved 54 respondents from a population of 117 students selected through a simple random sampling method. Primary data were collected through online questionnaires and analyzed using multiple regression using SPSS. Validity, reliability, classical assumptions, and hypothesis tests were also conducted. The study shows that students of Economics Education, Sebelas Maret University, 2022 intake significantly choose fashion products because of promotions and Shopee's live streaming features. Promos are considered to be able to save consumer spending, thus increasing interest and enthusiasm for transacting through the Shopee application. Meanwhile, the live streaming feature makes it easier for consumers to see products directly, assess quality, and make purchases more practically. As for further researchers, it is recommended to add other variables (for example, consumer trust), compare with other e-commerce platforms, use mixed methods, analyze different user segments, and examine the long-term impact on brand loyalty.

This study investigates the impact of cashless payment technologies, specifically e-toll and Garda Total Objek (GTO), on customer satisfaction and travel efficiency on the Tangerang-Merak Toll Road. The research demonstrates that the implementation of these technologies significantly enhances travel time efficiency and overall user satisfaction, providing a more seamless and convenient toll payment experience. Despite these positive outcomes, the study identifies several technical challenges that hinder optimal performance. Notably, there is an 18% transaction failure rate, primarily caused by malfunctions in card reader devices and server disruptions, which negatively affect the customer experience. In addition to technological reliability, the quality of service delivered by field staff and the degree of customer loyalty emerge as critical factors influencing sustained use of the digital payment system and overall satisfaction levels.The study underscores the importance of time efficiency and customer loyalty as key drivers for improving service quality and encouraging the widespread adoption of cashless systems. To address these challenges, the study recommends enhancing the reliability of payment devices and network infrastructure through regular maintenance and upgrades. Furthermore, the adoption of Multi-Lane Free Flow (MLFF) technology is suggested to allow toll transactions without stopping, thereby reducing traffic congestion and waiting times at toll plazas. Continuous staff training is essential to improve service response and technical troubleshooting. Additionally, customer loyalty programs offering incentives like discounts and rewards could increase user engagement. The study also emphasizes the need for increased public education on cashless payment systems and their features to minimize resistance and misunderstandings. Finally, ongoing monitoring and evaluation based on user feedback are critical for promptly addressing issues and sustainably improving customer satisfaction.

This study presents an advanced AI-powered framework to detect and prevent cyberbullying across diverse social media platforms using a multiclass classification approach. Addressing the growing complexity and linguistic diversity of online abuse, the research integrates various machine learning (RF, LR, SVM) and deep learning (Bi-LSTM, BERT) models trained on a balanced dataset covering bullying categories based on religion, age, ethnicity, gender, and neutral content. Data preprocessing, tokenization, feature extraction via TF-IDF and CountVectorizer, and class balancing using SMOTE were applied to enhance model accuracy. The proposed system further supports real-time detection through social media APIs, offering dynamic monitoring and intervention capabilities. Among the tested models, Random Forest and BERT achieved the highest classification performance with 94% accuracy. Despite its robust architecture, limitations include dependence on English-language datasets, exclusion of multimodal data (e.g., memes, audio), and API restrictions that challenge scalability. Future development will focus on incorporating vision-language models and optimizing the system for real-time, multilingual, and multimodal environments. This study contributes to digital safety efforts by proposing a scalable and adaptive detection system suitable for safeguarding users from evolving forms of online harassment.

The rapid population growth in South Tangerang City has led to an increasing demand for housing, public facilities, and adequate community activity spaces. This phenomenon presents a challenge in providing proper and multifunctional spaces efficiently. This study aims to formulate architectural design strategies through a mixed-use development approach as a solution to mitigate the impact of population density in satellite urban areas. A mixed-methods approach, combining both quantitative and qualitative methods, was employed. Data were collected through questionnaires, field observations, spatial analysis, and in-depth interviews with residents and area users. Quantitative analysis was used to measure spatial needs and activity patterns, while qualitative analysis aimed to understand social preferences and local cultural contexts. The findings indicate that integrating residential, commercial, and public facility functions within a single area can improve land-use efficiency, reduce daily mobility, and strengthen inclusive social interaction spaces. The proposed design strategies include vertical spatial organization, flexible zoning, and the provision of green open spaces that support social and ecological sustainability. This research provides a foundation for the development of adaptive, participatory, and sustainable architectural designs for high-density urban areas such as South Tangerang City.

The advancement of information technology has shifted marketing strategies from conventional to digital platforms, with TikTok emerging as a key driver of modern consumer behavior, including impulse buying. This phenomenon is evident in the local perfume industry, such as SAFF & Co, which has successfully captured a significant market share through strong content strategies. This study aims to analyze thej nfluence of Content Marketing, Price Discount, and Online Customer Review on Impulse Buying of SAFF & Co perfume via the TikTok application in Surabaya. A quantitative associative approach was employed, using an online questionnaire distributed to 100 TikTok users who have purchased the product. The data were analyzed using multiple linear regression. The results indicate that Content Marketing and Price Discount have a positive and significant effect on Impulse Buying, while Online Customer Review does not show a significant partial effect. However, simultaneously, all three variables positively and significantly influence Impulse Buying. These findings imply that businesses can stimulate consumer impulse purchases through effective content and discount strategies, while the role of customer reviews still requires optimization to strengthen their psychological impact on consumer purchasing decisions in social media environments.

This research investigates how e-service quality and customer experience influence customer satisfaction among GoRide users in Bandar Lampung. The study is motivated by the growing reliance on online transportation services in Indonesia and the crucial role of customer satisfaction in fostering user loyalty. Employing a quantitative method with a survey design, data were gathered through questionnaires from 125 purposively selected respondents. The data were analyzed using multiple linear regression via SPSS. Findings indicate that both e-service quality and customer experience positively and significantly affect customer satisfaction, both individually and collectively. Key elements such as the app’s efficiency, security, and reliability, along with user experience factors like accessibility, promise fulfillment, and personalized service, are shown to be major contributors to the satisfaction of GoRide users in the area.

As an archipelagic nation with the fourth largest population in the world, Indonesia faces challenges in employment opportunities due to the imbalance between population growth and job availability. Consequently, both central and regional governments are now focusing on the development of the informal sector, which contributes significantly to the economy and employment creation. In the era of the digital economy, this sector benefits from technological advancements. However, informal entrepreneurs continue to face obstacles such as limited access to technology, human resources, and capital. This study aims to examine the influence of education, capital, and information technology on the income of informal sector actors who utilize e-commerce in Denpasar City, both simultaneously and partially. The data used in this study consists of both primary and secondary sources, collected through interviews with 100 respondents selected using purposive sampling. The analytical methods employed include descriptive analysis and multiple linear regression analysis. The results show that the variables of education, capital, and information technology simultaneously have a significant influence on the income of the informal sector. Partially, each of these variables also exerts a positive and significant influence on income. Based on these findings, it is recommended to increase attention to education and training in digital technology utilization, as well as improve access to capital for informal entrepreneurs. These efforts can enhance sales performance, expand market reach, and consequently increase income.

The rapid digital transformation has had a significant impact on various aspects of life, while simultaneously increasing the complexity of cyber threats faced by nations, including Indonesia. As a country with a high number of internet users, Indonesia is in a vulnerable position regarding cyberattacks that could threaten national stability. This study aims to analyze Indonesia’s national security strategy in responding to cyber threats through a descriptive qualitative approach based on literature review and document analysis. The findings show that Indonesia has implemented various strategic policies, including the establishment of the National Cyber and Crypto Agency (BSSN), the enactment of regulations such as the Personal Data Protection Law, as well as the strengthening of international cooperation, human resource development, and the utilization of security technologies. However, significant challenges such as weak inter-agency coordination, low digital literacy, and limited infrastructure remain major obstacles to effective implementation. This study recommends strengthening governance, increasing institutional capacity, and involving multiple stakeholders to build a national cybersecurity system that is adaptive, inclusive, and sustainable.

Canva learning media is an online learning platform for graphic design in various creative designs to facilitate its users such as designing posters, infographics and presentations. Not only for designing but can be used as a learning medium for teachers, students and schools in classroom learning. The purpose of this study was to determine the influence of perceptions on the use of Canva interactive media and students' learning interests on students' Mathematics learning outcomes at SMPN 2 Cianjur. This study uses a Quantitative Approach with the Survey method. The research design used is multiple linear regression analysis. The research sample was 35 students at SMPN 2 Cianjur. Based on the results of the research data analysis, 76% of responses were obtained based on the questionnaire distributed, respondents agreed that there was an influence of perceptions on the use of Canva interactive media and students' learning interests on mathematics learning outcomes.

The Electronic Chart Display and Information System (ECDIS) has become a vital tool in modern maritime navigation. This study investigates the implementation of ECDIS in enhancing navigational accuracy and minimizing the risk of collisions at sea. Using a qualitative approach supported by observational data and interviews with ship officers, the research analyzes the effectiveness of ECDIS in real-time navigation and decision-making. The findings indicate that ECDIS significantly improves situational awareness by integrating multiple navigational data sources, such as GPS, AIS, and radar, into a single digital interface. Moreover, the system's ability to generate route suggestions and collision warnings enhances operational safety. However, optimal results depend on user competence and the proper maintenance of equipment. The study highlights the importance of continuous training and adherence to international regulations in maximizing the benefits of ECDIS. These insights contribute to safer maritime operations and underscore the critical role of digital navigation technologies in reducing human error at sea.

The integration of social media into digital education has transformed how communities engage in collaborative learning. While social media platforms were initially designed for communication, they have evolved into micro-ecosystems that support community-based e-learning. This study conducts a Systematic Literature Review (SLR) to examine the role of social media as a micro-ecosystem in enhancing collaborative learning environments. Using the PRISMA protocol, 450 articles were initially identified from Scopus, Web of Science, IEEE Xplore, and Google Scholar. After multiple screening stages, 80 articles met the inclusion criteria and were analyzed in-depth. The findings indicate that platforms such as WhatsApp, Facebook, YouTube, and Edmodo significantly enhance learning engagement, collaboration, and knowledge sharing. Specifically, student engagement increased by up to 40% compared to traditional LMS-based methods, with satisfaction rates exceeding 80% among Edmodo users. Moreover, WhatsApp communities achieved a message open rate of 98%, demonstrating high responsiveness and interaction quality. However, challenges such as low digital literacy, data privacy concerns, and distractions from non-academic content were also identified. This research contributes a comprehensive synthesis of how social media can function as a micro-ecosystem to foster inclusive, flexible, and community-driven learning. It also offers strategic recommendations for educators and policymakers to optimize the use of social platforms for education in the digital era.