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In today's digital era, the freight forwarding industry has become one of the fastest-growing sectors. The rapid growth of the digital economy has increased the need for fast, safe, and efficient delivery services. However, intense market competition in this industry has pushed companies to build a strong brand image. This is related to the increasingly fierce competition in the freight forwarding sector, such as JNE, SPX Standard, Tiki, and Pos Indonesia. This research is useful for companies and academics: it can serve as a shared reference for examining the influence of brand image on service usage decisions, in the development of theories and concepts in marketing and Islamic economics. The purpose of this study is to analyze the influence of brand image on the decision to use J&T Express's freight forwarding services. The research method used was quantitative, with a survey approach. A questionnaire was distributed to 117 respondents who were active users of J&T Express services. Data analysis was conducted using multiple linear regression with the help of SPSS version 26 software. The results showed that brand image had a positive and significant effect on the decision to use services, with a significance value of 0.015 (<0.05).

Digital transformation in the health sector requires hospitals to improve service effectiveness through the use of Hospital Management Information Systems (HMIS). Berkah Pandeglang Regional General Hospital, as a regional hospital, still faces challenges in utilizing HMIS, such as limitations in infrastructure and user competence. This study aims to analyze the effect of SIMRS implementation and evaluation on the effectiveness of healthcare services. The research method uses a quantitative approach with a descriptive-verificative design. The research population consists of 278 healthcare workers, and 74 respondents were selected using proportionate stratified random sampling. Data were collected through closed questionnaires and analyzed using multiple linear regression to test the influence of variables. The results of the analysis show that the implementation and evaluation of SIMRS have a positive and significant effect on the effectiveness of health worker services. The most dominant components in implementation are the availability of hardware and human resource competence, while in evaluation, the most decisive aspects are the perception of usefulness and ease of use of the system. The conclusion of this study confirms that the success of SIMRS depends on the synergy between optimal implementation and systematic evaluation. Improvements in technological facilities, user training, and periodic monitoring are recommended to strengthen the effectiveness of health worker services at Berkah Pandeglang Regional General Hospital.

This study investigates how Bahasa Medan, a distinctive regional dialect from North Sumatra, is used, transformed, and sustained within the digital environment of TikTok. Drawing on Hymes’ (1972) theory of the speech community and supported by sociolinguistic frameworks from Gumperz (1982), Holmes (2013), Bell (1984), and Bucholtz and Hall (2005), the research explores how Medanese youth employ their dialect across multimodal forms of communication—spoken performances, textual captions, and interactive comment exchanges. Using qualitative descriptive methods, the study examines content from selected TikTok creators who integrate Bahasa Medan into their videos to express humor, identity, and solidarity. The findings reveal that TikTok functions as a digital speech community where dialectal expressions such as palak, sor, beserak, slek, berondok, and merajok serve as linguistic markers of belonging and cultural pride. Furthermore, users exhibit strategic code-switching among Bahasa Medan, standard Indonesian, and English to balance local authenticity with global participation. These interactions demonstrate how linguistic creativity, humor, and social engagement enable regional dialects to thrive in transnational digital spaces. The research ultimately shows that Bahasa Medan on TikTok is not merely a form of entertainment but a dynamic expression of identity, cultural continuity, and community in the era of globalized media.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This study explores the implementation of an electronic Human Resource Management System (e-SDM) in the Gubeng sub-district of Surabaya to optimize civil servant (PNS) leave management. The primary focus is on assessing how digitalization improves efficiency, transparency, accountability, and service quality in human resource administration, particularly in leave processing. Traditionally, manual procedures required 7-14 days to approve leave requests, involved multiple steps, manual calculations, and were prone to errors, delays, and lack of transparency. The introduction of the e-SDM system significantly reduces processing time to approximately one day, enabling online submission, real-time monitoring, and electronic approval accessible anytime and anywhere via smartphones. The system automatically calculates leaves balances and prevents over-application, ensuring data accuracy and reducing misuse. Besides operational efficiency, the system enhances transparency by providing accessible real-time status updates, creating an audit trail for each decision, and making the process auditable and accountable. Despite these advantages, challenges such as user resistance, digital literacy, infrastructure issues, and system integration remain. This research employs descriptive-analytical methods, combining interviews, observations, and documentation, to analyze the effectiveness of e-SDM implementation. The findings indicate that digitalization has streamlined leave management, minimized administrative burdens, and improved data accuracy. Moreover, it fosters a fairer and more transparent work environment, reinforcing good governance principles and supporting Surabaya's vision to become a smart city. The research underscores the importance of technological adaptation within bureaucratic reforms and offers strategic recommendations for further system improvements. Overall, the successful adoption of e-SDM in Gubeng serves as a model for digital transformation in public service delivery, contributing to more efficient, transparent, and accountable governance in local government institutions.

The rapid advancement of smartphone technology has shaped consumer buying behavior, especially among students who depend on these devices for learning and social interaction. This research examines how product features and price perceptions influence students’ decisions to purchase Oppo smartphones in Malang City. Using a quantitative research design, data were obtained through questionnaires distributed to 428 respondents and processed using multiple linear regression analysis. The findings indicate that both product features and perceived price positively and significantly affect purchasing decisions, with product features demonstrating a more dominant role. The proposed model accounts for 66.2% of the variance in purchase decisions, suggesting that these two factors play a substantial part in shaping consumer choices. The results highlight the need for manufacturers like Oppo to focus on continuous feature improvements and maintain competitive pricing to strengthen market appeal. It is also suggested that future studies integrate additional variables such as brand image, marketing promotions, or user experience to offer a broader and more in-depth explanation of the determinants influencing smartphone purchase behavior.

This study aims to implement an information retrieval system for cryptocurrency data using an attribute-based approach integrated with the Vector Space Model (VSM). The primary objective is to develop a system capable of retrieving the most relevant digital asset information according to specific search attributes, including positive sentiment, price fluctuation, and prediction confidence level. The research adopts a descriptive qualitative method combined with an experimental approach to evaluate the retrieval performance of the cosine similarity algorithm on normalized numerical data. Data preprocessing and attribute weighting were conducted to ensure consistency and improve retrieval accuracy. The experiment demonstrates that the proposed system achieves a Precision@5 value of 1.0, which indicates that all top-five retrieved results are fully relevant to user queries. These findings validate the effectiveness of the attribute-based VSM in analyzing multidimensional cryptocurrency datasets. Overall, this research contributes to the advancement of information retrieval applications in the cryptocurrency domain, particularly for supporting data-driven decision-making and intelligent financial analysis.

This study aims to examine and explain the influence of customer experience, service quality, and promotion on the decision to use the OVO application among Uniska Kediri students. The research applied a probability sampling method using a saturated sample approach for an unknown population, calculated through the Hair formula, and obtained 114 respondents. The data were analyzed using several statistical tests, including validity, reliability, normality, multicollinearity, heteroscedasticity, linearity, and determination (R²), processed through SPSS version 25.The research findings show that the customer experience variable does not have a significant effect on the decision to use the OVO application, with a significance value of 0.380 > 0.05 and a t-count of 0.882 < t-table of 1.981. Similarly, the service quality variable also does not significantly affect the decision to use, with a significance value of 0.833 > 0.05 and a t-count of 0.211 < t-table of 1.981. In contrast, the promotion variable has a significant positive effect on the decision to use the OVO application, with a significance value of 0.001 < 0.05 and a t-count of 3.287 > t-table of 1.981. Simultaneously, customer experience, service quality, and promotion collectively have a significant influence, with a significance value of 0.000 < 0.05 and an F-count of 6.883 > F-table of 2.69. The R² value reflects the combined effect of these variables on user decisions.

The rapid growth of financial technology has led to the emergence of digital wallets as an efficient and practical means of payment. One of the most widely used services in Indonesia is Shopeepay, particularly among Generation z, who are known for their adaptability to new technologies. This study aims to examine to influence of perceived usefulness (X1) and perceived risk (X2) on the intention to use digital wallets (Y), with Shopeepay payment method (M) as a moderating variable. This research employed a quantitative approach by distributing questionnaires to 60 University students who actively use Shopeepay. The collected data were analyzed using multiple linier regression and Moderated Regression Analysis (MRA). The findings reveal that perceived usefulness has a positive and significant effect on the intention to use Shopeepay (sig. 0,004<0,05). Perceived risk also shows a significant effect in thr multiple regression test (sig. 0,003<0,05), but becomes insignificant when tested with MRA (sig. 0,094>0,05). This suggests that impact of risk tends to weaken when moderated by the payment methode. Furthermore, the Shopeepay payment method itself does not significantly influence user intention (sig. 0,067>0,05) collectively, perceived usefulness and perceived risk significantly affect the intention to use Shopeepay (sig. 0,001).

The Family Welfare Empowerment (PKK) is a vital community organization with a significant role in addressing social issues. One such issue is the increasing number of juvenile delinquency cases in schools, which has become a major concern for both educational institutions and parents. Schools must be proactive in monitoring their students to address this problem effectively. However, traditional manual monitoring processes are inefficient and time-consuming. To overcome this, there is a need for an efficient, user-friendly, and multi-user monitoring system that enables both schools and parents to access information about their children's behavioral violations. This student violation monitoring system is designed to be web-based, utilizing UML (Unified Modeling Language) for system design and employing the Waterfall development method. The goal of this system is to provide an effective solution for managing and tracking student violations, allowing for better control and prevention of delinquent behavior within the school environment. By implementing this system, both school authorities and parents will be able to collaborate more effectively in monitoring and addressing student behavior.

Customer Loyalty is critically influenced by several factors, including Service Quality, Customer Trust, and Price.1 This study aims to analyze the partial and simultaneous influence of Service Quality (X_1), Customer Trust (X_2), and Price (X_3) on Customer Loyalty (Y) toward Maxim online transportation services in Semarang City.1 Utilizing a quantitative associative method, data were collected from a sample of 100 Maxim users (N=100) via incidental sampling and analyzed using multiple linear regression (SPSS).1 The analysis confirmed that all three independent variables positively and significantly influence Customer Loyalty (all t_{hitung} > 1.98498).1 Service Quality (X_1) was determined to be the most dominant factor (\beta = 0.400, t=4.500), highlighting that driver performance, service assurance, and responsiveness are the primary drivers of long-term loyalty., 10 The overall regression model demonstrated a strong explanatory power, with an estimated Adjusted R^2 of 0.650, indicating that 65.0\% of the variation in Customer Loyalty is explained by these three factors. Managerial implications suggest focusing resources on continuous service improvement and maintaining high integrity (Trust) to convert consumer satisfaction into sustainable loyalty.

This study analyzes the influence of Service Quality, Facilities, Supervision, and Effectiveness on Parking Levies (Retribusi Parkir) in Blitar City. Motivated by the Blitar City Transportation Agency's failure to meet its 2022 Local Own-Source Revenue (PAD) target from parking levies, this quantitative study employs Multiple Linear Regression (MLR) on a sample of 100 parking service users. Classical assumption tests confirm the regression model is normally distributed and free from multicollinearity and heteroscedasticity issues. Partially, all independent variables Service Quality (\beta=0.38), Facilities (\beta=0.200), Supervision (\beta=0.331), and Effectiveness (\beta=0.329) were found to have a positive and significant effect on Parking Levies. The Adjusted R Square value of 86.8% indicates a high predictive power of the model. Crucially, the findings highlight that Supervision and Effectiveness factors, reflecting internal governance and regulatory enforcement, are the primary determinants of successful parking levy collection, surpassing the influence of direct Facilities and Service Quality. The implications suggest a need for governance reform focusing on strict supervision and digitalization to mitigate revenue leakage.

This study aims to analyze the influence of Service Quality, Price Perception, and Trust on the User's Interest in the ferry service of KMP Gili Iyang on the Paciran-Bawean route operated by PT. ASDP Indonesia Ferry (Persero) Cabang Paciran. This route plays a critical role as an essential logistics and social link for Bawean Island. The quantitative research used a survey method with an Incidental Sampling technique, involving 100 respondents who are users of the service. The collected data were analyzed using Multiple Linear Regression with SPSS V25. The partial hypothesis test results (t-test) show that Service Quality (β=0.80; p=0.033), Price Perception (β=0.69; p=0.038), and Trust (β=0.587; p=0.000) individually have a positive and significant impact on the User's Interest. The Trust variable was found to be the most dominant predictor, emphasizing the importance of integrity, competence, and operational consistency in essential and high-risk maritime transportation services. The adjusted R-squared value of 60.% indicates that this model provides a strong explanation for the variation in User's Interest. This study provides important implications for managing ferry services by improving service quality, competitive pricing, and building customer trust to increase user interest.

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.

Information technology (IT) has emerged as a critical component of public administration, offering significant potential to enhance transparency and accountability in governance. This comprehensive qualitative case study research examined how information technology implementation influences transparency and accountability mechanisms in public policy administration, while identifying critical challenges and success factors. The research employed embedded multi-case study methodology, collecting data through 118 semi-structured interviews with government officials (n=45), citizen-users (n=38), IT professionals (n=15), civil society representatives (n=12), and academic researchers (n=8), complemented by document analysis and direct observation (280 hours) across four case sites representing diverse governance contexts. Key findings demonstrate that information technology implementation significantly enhances government transparency through multiple mechanisms: public information portals increased citizen information access from 25-30% to 78-82%, mobile applications extended service accessibility from 15-20% to 42-55% in rural areas, and social media platforms reached 60-70% of citizens with policy information. Similarly, IT implementation strengthened accountability through online complaint systems that reduced government response times from 28-45 days to 5-12 days (60-75% improvement), automated audit systems that detected 35-55% more compliance violations, and real-time monitoring systems that reduced audit completion time by 40-50%.  The findings have implications for government practitioners seeking evidence-based guidance for IT implementation, policymakers developing governance policies leveraging technology, and academic researchers studying digital governance and public administration innovation.

This study analyzes the partial and simultaneous influence of four factors—Publication (X_1), Access Convenience (X_2), Perceived Ease of Use (X_3), and Trust (X_4)—on the dependent variable, Intention to Use/Purchase (Y) Tiket.com for airline ticket purchases in Semarang City.1 Using an associative quantitative method, data were collected from 100 Tiket.com users (N=100) and analyzed via Multiple Linear Regression (SPSS 25.0).1 The analysis confirmed that all four independent variables positively and significantly influence the Intention to Use (all t_{hitung} > t_{tabel} 1.98498).1 The variable Perceived Ease of Use (X_3) was identified as the most dominant factor, showing the highest regression coefficient (\beta = 0.375), suggesting that the intuitive and effort-free experience of the application is the primary psychological driver for adoption among Semarang users.1, The overall model demonstrated a very strong explanatory capability, with an Adjusted R^2 of 0.792. This means 79.2\% of the variation in Intention to Use Tiket.com is jointly explained by these four variables, with 20.8\% attributed to factors outside the model.1 Managerial implications suggest prioritizing user experience design, clear information presentation, and maintaining transaction security to convert high interest into committed use.  

This study analyzes the influence of internal operational variables—Process, Service Quality, and Facilities—on the Export Performance of PT. Panah Perdana Logisindo, a freight forwarding company in Semarang. Maritime logistics plays a crucial role in national competitiveness, but company performance often faces challenges amidst the complexity of global supply chains . Employing a quantitative approach with a sample of 100 export service users, multiple linear regression analysis indicates that all three independent variables positively and significantly affect Export Performance (Y). The results reveal that Process has the most dominant influence (\beta=0.309), followed closely by Facilities (\beta=0.302) and Service Quality (\beta=0.255). The model explains 53.0% of the variance in the company's Export Performance (Raja Ferry, 2025 2). These findings confirm the necessity of strengthening micro-operational aspects (efficient procedures, robust networks, and staff professionalism) as a core strategy for enhancing profitability and customer loyalty amidst macro-logistical challenges in Indonesia.

This research was conducted in Bima City. The purpose of this study was to determine and analyze the influence of Green Product and Green Marketing on purchasing decisions for Cushion Skintifik beauty products in Bima City. The population in this study were all users of Cushion Skintifik beauty products in Bima City. While the sample in this study amounted to 70 respondents. The sampling technique used was purposive sampling. Data collection techniques were by distributing questionnaires, observation and interviews, and documentation studies. Data analysis used multiple linear regression analysis. The conclusion in the study that Green Product does not have a significant effect on Purchasing Decisions for Cushion Skintifik Beauty Products in Bima City. Green Marketing has a significant effect on Purchasing Decisions for Cushion Skintifik Beauty Products in Bima City. Green Product and Green Marketing have a significant effect on Purchasing Decisions for Cushion Skintifik Beauty Products in Bima City. Adjusted R Square is: 0.307, thus indicating the suitability of the model and the large contribution of Green Products and Green Marketing to Purchasing Decisions of 0.307 or 30.7% and the remaining 69.3% contribution to the Purchasing Decision variable is through other variables not examined in this study.

This research is entitled “Implementation of Lumi H5P in Mathematics Learning Media at SDK PERO Using the MDLC Method.” The aim of this research is to create a digital-based interactive learning medium designed to enhance students’ understanding of the subject matter. media that can help students understand mathematics lessons, particularly on the topics of whole numbers and multiples, in an engaging and easy-to-understand way. The approach applied in this research is the MDLC method.. Each stage was carried out systematically to produce an interactive and high-quality learning media. The learning media application was developed using LUMI H5P, which provides various interactive features such as text, images, videos, and interactive exercises in the form of single choice sets and drag-and-drop activities. The results of the study show that the implementation of Lumi H5P-based learning media can increase students’ learning interest and facilitate their understanding of the material. Moreover, the simple interface design and user-friendly features make this application effective for both classroom learning and independent study. Therefore, the implementation of Lumi H5P in mathematics learning The media can act as an innovative solution to promote a learning process that is more engaging and effective.

Mobile navigation interfaces continue to be plagued by a key usability problem, particularly when widely accepted design traditions fail to address the specific requirements and mental models of local user populations. This research addresses this significant limitation by using a comprehensive user-focused measurement framework to identify and investigate context-dependent navigation problems in mobile applications. The research employed a multi-method qualitative approach, using in-depth questionnaires, semi-structured interviews, and laboratory-based usability testing of 15 participants on an interactive Figma prototype that simulated real-world navigation tasks. Our analysis, step by step, revealed significant navigation issues in the local context, as evidenced by a 73% task-completion rate and an average participant error of 2.8 across the core navigation tasks. The most significant usability issues were ambiguous iconography, inconsistent application of platform design patterns, and insufficient system feedback mechanisms. The results conclusively demonstrate that localized usability testing is not merely beneficial but necessary while creating genuinely good and accessible mobile experiences. The study provides a replicable, practical context-aware evaluation approach and tangible, right-now-applicable design recommendations, such as enhancing icons with descriptive text labels and using instant visual feedback mechanisms. The study provides developers and designers with tangible takeaways for significantly enhancing navigation user experience without sacrificing methodological availability or implementation convenience across different development environments.