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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 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 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 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.

The development of generative artificial intelligence has opened opportunities for strengthening Islamic legal learning through a digital forum that remains connected to authoritative textual references. This study aims to design and build a web-based bahtsul masail discussion system using a multi-agent AI architecture and the Retrieval-Augmented Generation (RAG) method. The proposed system simulates the deliberative roles commonly found in pesantren-based Islamic legal discussion, namely Moderator, Mubahits, Mu'aridh, and Mushahih. The research applies a Research and Development approach with the Waterfall model, covering requirement analysis, interface design, multi-agent workflow design, implementation, functional testing, and evaluation. RAG is implemented by allowing users to upload PDF documents of kitab kuning and assign the documents to particular agent roles. The uploaded texts are then used as contextual grounding so that each agent can formulate arguments, rebuttals, and final decisions based on traceable references rather than unsupported model memory. The application is implemented using HTML, CSS, and JavaScript on the front end, while the AI reasoning process is orchestrated through an API-based large language model. Functional testing shows that the system can complete five sequential stages of bahtsul masail, display role-based responses, manage uploaded references, and present discussion history. The main contribution of this study is a system design that combines pesantren deliberation procedures with AI-based retrieval support to provide an interactive learning medium for Islamic law, while emphasizing that the final authority of legal validation remains with qualified scholars

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.

This study aims to identify the factors that influence the implementation of interactive digital books as a communication medium at the Museum Kepresidenan RI Balai Kirti. The research method used is qualitative, with data collection through in-depth interviews with museum staff and surveys of visitors. Data were analyzed using the Cognitive Theory of Multimedia Learning (CTML) to understand how the design of the digital book affects the user experience, as well as SWOT analysis to map the strengths, weaknesses, opportunities, and threats related to its implementation. The research results highlight that interactive digital books offer opportunities to improve museum information accessibility and visitor engagement. Its implementation is also influenced by factors such as the quality of the book's content, audio-visual elements, language use, and the richness of the information presented. This study concludes that the success of interactive digital books as a museum communication medium requires a comprehensive strategy that considers the various aspects.

A paradigm shift in public services has occurred rapidly due to the advent of digital technologies, which has led to the creation of more efficient, transparent and user-oriented systems. The study aims to examine how the quality of e-services, reputation, trust in e-services and electronic word of mouth affect user satisfaction with technology-enabled public services. A quantitative approach using multiple linear regression analysis is used to confirm the validity of the model. This method includes validity, reliability and classical assumptions testing. The results show that all four independent variables have a positive effect on user satisfaction both in general and individually. The quality of service, which encompasses factors such as ease of access, speed, system availability, and data security, has been demonstrated to enhance satisfaction. On the other hand, positive feedback and trust in the integrity and competence of the institution strengthen the relationship with users. Electronic word of mouth is crucial to create positive perceptions and attract consumers to services. The results show that to increase user satisfaction and loyalty in digital government services, the integration of these four elements is a key strategy.

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem

This study aims to develop a junior high school mathematics e-module based on local culture at the Van der Wijck Fortress complex to enhance students’ mathematical reasoning skills and learning interest. Specifically, the objectives are: (1) to describe the characteristics of the local culture-based e-module that can improve reasoning ability and learning motivation, and (2) to produce a high-quality e-module that meets the criteria of validity, practicality, and effectiveness. The research employed the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The participants consisted of one teacher, 31 students in the experimental class, and 32 students in the control class at a public junior high school in Kebumen Regency. The instruments used included validation sheets for media and material, competency tests, mathematical reasoning tests, learning interest questionnaires, and practicality assessment forms for teachers and students. The results showed that the e-module possesses characteristics of being self-instructional, self-contained, stand-alone, adaptive, and user-friendly. Product validity was confirmed through expert validation with average scores of 4.26 for media and 4.35 for material (very valid). The validation of instruments obtained average scores ranging from 4.5 to 4.92, categorized as very valid. Practicality was demonstrated through teacher assessments of 92%, student assessments of 85%, and learning implementation of 94% (all very practical). Effectiveness testing using the Multivariate Hotelling’s T² test indicated significant differences between experimental and control classes in competency test scores, mathematical reasoning, and learning interest. Therefore, the local culture-based mathematics e-module is proven valid, practical, and effective in enhancing students’ mathematical reasoning and learning motivation.

The Ar-Royyan Islamic boarding school is a multi-level Islamic educational institution with a focus on preparing graduates who are ready to synergize with the society. To attain this objective, it is imperative to have educational personnel well-versed in the field of information technology. One strategic approach involves training Ustadz and prospective Ustadz through digital learning innovations. Open Broadcast Software (OBS) emerges as an innovative choice for crafting learning materials because it supports various media sources and offers user-friendly settings. Participants can combine video recordings, video from cameras, text, images, sound, and so on the types of input received. The resulting output manifests in the form of the videos available in common formats such as MKV, MOV, FLV, MP4, and MPEG-TS. Evaluation was conducted using a pre-test and post-test, consisting of a response questionnaire and Likert scale. The results indicate an enhanced understanding of OBS among participants, employed in the creation of digital learning media. The majority of participants responded positively to the conducted activities. Several elements that need attention in promoting the use of OBS for learning media creation include color selection, motivational delivery, and effective word choice. Combining OBS with other editing applications can yield unique variations of learning media, incorporating elements such as images, sound, video, and other supported media editing applications

This study aims to analyze the influence of Brand Image and Product Innovation on Consumer Loyalty toward iPhone smartphones, with the research focused on university students in sleman regency. The increasing use of iPhones among students who are known to be critical and selective in choosing technology products forms the basis of this research. A quantitative approach was employed using a survey method, where questionnaires were distributed to 100 respondents who are iPhone users among university students in sleman regency. Data were analyzed using multiple linear regression with the assistance of SPSS version 26.

Asus is one of the laptop brands from Taiwan that is widely recognized among students due to its products offering good quality, reliable performance, and competitive pricing, making it popular among students. This study aims to examine the influence of Product Quality, which includes performance, durability, and the features offered. In addition, price plays an important role in the purchase decision, although in some cases it may be influenced by the consumer’s perception of the product's value. Brand Equity includes factors such as brand awareness, brand image, and consumer loyalty, and is also considered a highly influential element in the Purchase Decision of Asus Laptops among students of the FISIP Faculty at Universitas Mulawarman. This study employs a quantitative approach with a survey method. The sampling technique used is probability sampling with a simple random sampling method, involving 98 respondents. Data is collected through questionnaires distributed to FISIP students at Universitas Mulawarman who are users or buyers of Asus laptops. Data analysis is performed using multiple linear regression to determine the relationship and influence between independent variables (product quality, price, and brand equity) and the dependent variable (purchase decision). The results indicate that product quality, price, and brand equity both partially and simultaneously have a positive and significant effect on the purchase decision, meaning that the greater the likelihood of students purchasing an Asus laptop. These findings show that these three variables are key factors influencing consumer behavior in making a purchase decision for Asus laptops. This study provides valuable insight into the factors influencing technology product purchase decisions among students.

This study provides an in-depth analysis of the benefits of implementing a SAP-based Enterprise Resource Planning (ERP) system for end-users at PT XY, an Indonesian airport management company. A qualitative case study approach was applied through comprehensive in-depth interviews and direct observations of accounting division staff who actively utilize the SAP Financial Accounting (FI), Controlling (CO), and Materials Management (MM) modules as part of their daily operations. The findings demonstrate that SAP implementation significantly enhances work efficiency, data accuracy, and overall operational productivity across multiple business processes. The system facilitates seamless cross-departmental integration, reduces manual errors, accelerates financial reporting, and supports real-time, data-driven decision-making. Furthermore, SAP strengthens internal coordination by providing consistent, centralized, and easily accessible information to all relevant stakeholders. Key challenges identified include limited network access, server congestion during peak hours, and difficulties with remote connections when accessing the system outside the office environment. The company addressed these issues through regular user training, provision of secure Virtual Private Network (VPN) access, expansion of server capacity, and a strategic plan to migrate to cloud-based SAP S/4HANA to improve flexibility, scalability, and long-term system reliability. The findings not only enrich the literature on ERP adoption, with practical guidance for other organizations seeking to plan, implement, and evaluate ERP systems to meet their own business needs, including effective human resource planning and change management strategies.

Mikrotrans Jaklingko is one of the public transportation modes managed by PT Transjakarta and is designed as an alternative solution to meet the daily mobility needs of urban communities. Unlike conventional public minibuses (angkot), the Mikrotrans service operates with stricter regulations, such as fixed routes, designated stops, and more orderly service management. The program aims to encourage people to shift from using private vehicles to public transportation while improving user comfort and satisfaction in the Jakarta metropolitan area. This study specifically analyzes the influence of service quality and facilities on user satisfaction with the Mikrotrans Jaklingko service. The research employed a quantitative approach, with data collected through field observations and questionnaires distributed to 100 active Mikrotrans users. The data were processed and analyzed using SPSS through a series of tests, including validity, reliability, classical assumption testing, coefficient analysis, multiple linear regression, and hypothesis testing using both t-tests and F-tests. The findings reveal that service quality has a significant effect on user satisfaction. Furthermore, the available facilities, such as vehicle comfort, safety, and the adequacy of supporting infrastructure, also have a positive and significant effect on satisfaction levels. Simultaneously, both independent variables contribute significantly to enhancing user satisfaction. These results highlight that improving service quality and facilities should be a strategic priority to ensure greater comfort for the public when using Mikrotrans. Ultimately, these improvements will strengthen government efforts to encourage a transition from private vehicles to public transportation in Jakarta, thereby supporting sustainable urban mobility.

This study aims to analyze the effect of promotional strategies on consumer purchasing decisions for Freedom Street Wear products on the Shopee platform. The research population consists of Shopee users who have purchased products from official stores. A quantitative approach using a survey method was applied, and data was collected from 100 respondents selected through non-probability sampling. Multiple linear regression analysis was used to test the influence of each variable, both partially and simultaneously. The findings show that Double Date Discount has a positive and significant effect on purchasing decisions. Meanwhile, Free Shipping and Cash on Delivery (COD) did not have a significant effect, although COD showed a positive trend. Simultaneously, these three variables were found to have a significant effect on consumer purchasing decisions. In addition to examining the individual effects of promotional strategies, this study also explored the interactive relationships between the variables. It was found that while Free Shipping and COD did not individually influence purchasing decisions, their combination with other promotional strategies like Double Date Discount enhanced the overall effectiveness of the promotions. This suggests that promotional strategies should be strategically integrated to maximize their impact on consumer behavior. Furthermore, the study highlights the growing importance of e-commerce platforms like Shopee in influencing purchasing decisions and shaping consumer perceptions. As online shopping continues to grow, understanding the nuances of promotional strategies is essential for businesses aiming to attract and retain customers in a competitive market. The findings contribute to a deeper understanding of the factors driving consumer purchasing decisions and offer valuable insights for businesses looking to optimize their promotional efforts in the online retail environment.

This systematic literature review examines the philosophy of science approaches to user security in distributed devices, such as IoT and Federated Learning. The review was conducted in response to the exponential growth of connected devices and the increasing security threats, including cyberattacks, data breaches, and unauthorized access. As distributed systems become more complex, traditional security approaches, such as cryptography and differential privacy, are often insufficient to address the ethical, philosophical, and contextual challenges that arise in these ecosystems. Distributed devices, especially in IoT and Federated Learning contexts, rely on vast amounts of personal data. This data, often stored or processed in decentralized environments, creates significant risks to user privacy and system integrity. As the number of connected devices grows, security risks multiply, creating challenges in maintaining user trust, privacy, and overall system resilience. Conventional techniques, such as encryption, only focus on technical aspects, often neglecting the deeper philosophical dimensions, such as the nature of knowledge, privacy, and fairness in these systems. These gaps highlight the need for a more nuanced approach that incorporates philosophical perspectives into security frameworks. This study uses a systematic literature review method based on the PICOC (Population, Intervention, Comparison, Outcome, Context) framework to analyze the relevance of epistemology, ontology, and ethics in strengthening system security. By examining the foundational principles of how knowledge is constructed (epistemology), what entities exist in the system (ontology), and the ethical considerations around data and user privacy (ethics), the review provides a comprehensive understanding of how philosophical concepts can be integrated into the design and implementation of security systems in distributed environments. The results reveal that epistemological principles, such as the verification and validation of data sources and models, can significantly improve the reliability and trustworthiness of distributed systems.  

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.

This study aims to determine the perceptions of library users towards the multicultural literacy program at the Sibolga City Public Library, as a response to the importance of literacy in building an inclusive society amidst cultural diversity. The method used is descriptive quantitative with a survey technique through a questionnaire to 73 active library users. The research instrument includes 15 statements on the independent variable (multicultural literacy program) based on James A. Banks' theory, and 10 statements on the dependent variable (librarian perception) based on the Ruch and Zimbardo framework. The results of the analysis show that library users' perceptions of the program are in the good category, with an average score of 40.23 out of a maximum of 50, and a standard deviation of 2.89, which indicates the consistency of respondents' responses. For the multicultural literacy program variable, an average score of 60.9 out of a maximum of 75, and a standard deviation of 3.68, is obtained. This indicates that library users feel that this program is very useful in increasing their understanding of cultural diversity. More than 78% of respondents agreed or strongly agreed that the program helped them understand other cultures, think critically about stereotypes, and feel proud of their own cultural identities. Furthermore, 54.79% of respondents expressed their willingness to promote the program to the surrounding community. These findings confirm that the Sibolga City Public Library has successfully fulfilled its role as an inclusive literacy space. The multicultural literacy program not only helps users improve their understanding of culture but also strengthens social cohesion and strengthens intercultural relationships. With this program, the library has functioned as an important agent of social change in creating a more inclusive and tolerant society. It is hoped that this program will continue to develop and be implemented more widely.