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This study investigates the structural relationships among Product Quality (PQ), Brand Image (BI), Word of Mouth (WOM), and Repurchase Intention (RI) to empirically understand the sequential mechanisms driving consumer loyalty in a highly competitive market. Grounded conceptually in the Stimulus-Organism-Response (S-O-R) paradigm, the research posits that PQ acts as an external antecedent influencing RI through the mediating cognitive and behavioural constructs of BI and WOM. Data were collected from a sample of 187 Weber product consumers in Surabaya and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The empirical results confirm all hypothesized direct and indirect relationships. Specifically, PQ significantly and positively influences both BI (β=0.337, p<0.000) and WOM (β=0.351, p<0.000). Furthermore, both BI and WOM significantly predict RI, with WOM (β=0.498, p<0.000) demonstrating a markedly stronger effect compared to BI (β=0.414, p<0.000). The model successfully explains a moderate 57% of the variance in Repurchase Intention. These findings underscore the strategic imperative for management to prioritize superior product quality, which organically fosters a positive brand perception and stimulates potent word-of-mouth promotion identified as the most critical driver of repeated purchases. Future research is encouraged to integrate additional affective factors, such as customer satisfaction or perceived price fairness, to enhance the explanatory power of the consumer loyalty model.

This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

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

Tax is a mandatory contribution to the state owed by individuals or entities, which is mandatory under the law, without receiving any direct compensation and is used for state purposes for the greatest prosperity of the people. (KUP Law). The Taxation System (Coretax), which became operational in 2025, with all its news aspects, has attracted much public attention, especially from businesses and individuals, regarding developments in tax reporting, procedures, and regulations in Indonesia. The public is required to understand tax equalization and related aspects, as it can impact the sustainability of both businesses and individuals. The webinar "Smart Tax and Smart Talent: Tax Equalization in the Digital Era" was held as an educational forum for students, academics, practitioners, and the general public to understand the transformation of taxation in the digital era. Through this activity, participants are expected to gain insight into technology-based tax management strategies and develop their readiness as intelligent talents capable of contributing to the national digital economy system.

Unmonitored traffic conditions often hinder decision-making processes in traffic management, particularly on secondary roads. Jalan Raden Inten II in East Jakarta is one of the connecting routes with heavy traffic activity at certain times, yet no integrated data-based monitoring system is currently available. This study proposes an Internet of Things (IoT)-based traffic condition classification system to identify Clear, Normal, or Congested states based on vehicle counts and speed categorization. The system is designed using an ESP32 microcontroller, an HB100 sensor to detect vehicle speed, and two AJ-SR04M ultrasonic sensors to detect vehicle presence. Data on vehicle counts and the percentage of slow-moving vehicles are periodically transmitted to the ThingSpeak platform and processed using the Threshold-Based Classification method. The classification results are visualized on a dashboard-based website equipped with charts, traffic condition status, and notifications when consecutive congestion is detected. Testing was conducted using simulation data over a specific period. Qualitative validation was carried out by comparing the classification results with traffic indicators from Google Maps. The results show that the system can classify traffic conditions with a good degree of agreement with external references, although discrepancies occurred at certain times due to the limitations of simulated data. This research demonstrates that a simple IoT approach can provide an affordable and effective solution for monitoring and classifying traffic conditions, with potential for real-world implementation in future studies.

The advancement of digital technology has transformed how people search for information and access health services. RSIA Clas C Cipondoh faces challenges related to its brand image, as indicated by low patient engagement with the hospital’s website and digital platforms, based on a preliminary survey. This study aims to analyze the simultaneous and partial effects of digital literacy, website quality, and ease of access on the brand image with digital marketing strategy as a moderating variable. A quantitative research method with a cross-sectional approach was employed. The study involved 152 outpatient respondents who had accessed the hospital website. Data were analyzed using index analysis with the Three Box Method and Moderated Regression Analysis (MRA) to test the moderating effect. Findings reveal that digital literacy, website quality, and ease of access simultaneously and significantly influence the hospital’s brand image. Partially, each of these variables also has a positive and significant effect on brand image. Moreover, the digital marketing strategy effectively moderates the relationships between digital literacy, website quality, and ease of access with brand image. The Three Box Method analysis indicates that although website quality falls into the high category, weaknesses remain in the interaction quality dimension. The study concludes that strengthening digital literacy, improving website quality, and ensuring ease of access supported by an effective digital marketing strategy can enhance the hospital’s brand image. Hospitals are advised to add interactive features such as chatboxes or live chat to improve patient engagement and online service experience.

Choosing a strategic business location is a key factor in building a successful enterprise, especially in Lautem Municipality, Timor-Leste. This area presents various opportunities for businesses such as grocery shops, small restaurants, repair workshops, and agricultural ventures. However, entrepreneurs often face challenges like poor road infrastructure, limited purchasing power, and inadequate transport access. This study developed a web-based Decision Support System (DSS) using the ELECTRE method to help business owners select the most suitable location. The system evaluates multiple location options based on important criteria such as population density, transportation access, and economic activity. By using this approach, entrepreneurs can reduce the risk of choosing an unprofitable location and improve their chances of success. The results show that implementing the ELECTRE method in a DSS is effective for identifying optimal business sites. These findings are expected to serve as a practical reference for entrepreneurs in Lospalos and nearby areas, while also supporting local economic development in the region.

Advancements in information technology have created significant opportunities for more efficient spatial data management, including the mapping of government buildings. To support this effort, this study develops a web-based geographic information system for mapping government buildings in Bandung City using Leaflet.js. The system aims to facilitate interactive map visualization and provide more accurate and structured access to spatial data. The Agile method is applied in the system development process, consisting of six main stages: needs identification, design, development, testing, implementation, and evaluation. The system is designed using the Laravel or CodeIgniter framework as the backend and Leaflet.js for dynamic spatial data presentation. The research results indicate that the system can display geographic information accurately and interactively while supporting search, filtering, and responsive map display features across various devices. Additionally, the Agile approach has proven to enhance development efficiency and user experience. With this system, the government can manage building data more effectively, transparently, and efficiently to support planning and decision-making based on spatial data.

Sentiment analysis of guest reviews is a crucial aspect in improving the quality of hotel services. This study aims to analyze the sentiment of guest reviews regarding the services of Grand Diamond Hotel Yogyakarta using a machine learning approach with the Support Vector Machine (SVM) algorithm. SVM was chosen because it can handle high-dimensional data such as text and is capable of forming an optimal separating hyperplane between sentiment classes. The research data was obtained through web scraping from Traveloka, yielding 1,119 reviews, which were processed through preprocessing, translation, and sentiment labeling using the TextBlob library. After TF-IDF weighting, the data was divided into 80% for training and 20% for testing. The linear kernel SVM model achieved 80% accuracy in classifying the reviews into positive, negative, and neutral categories. The results of this study were implemented in a web-based application equipped with data visualization and model evaluation features, allowing hotel management to efficiently monitor and analyze guest sentiment and support data-driven service quality improvement.

In this study, an interactive learning medium was developed to practice German A1-level vocabulary with the theme “Freizeit”, based on a website created using Genially. This research is classified as development research, in which the development process of the learning medium employed the ADDIE model, consisting of five stages: analysis, design, development, implementation, and evaluation. The study was conducted in the German Language Education Study Program at Universitas Negeri Medan. The research data consisted of vocabulary on the theme “Freizeit”, taken from the Netzwerk textbook and other online sources. The research subjects were second-semester students of the 2024 cohort. The instruments used included questionnaires, pretest and posttest, expert validation sheets, and documentation. The results of the validation from media experts and material experts indicated that the medium was suitable for use in learning, with scores of 92% and 89%, respectively. The trial conducted with students showed a positive response with an average score of 91%. The students’ average pretest score was 58.3, which increased to 84.7 in the posttest. Statistical tests revealed that the calculated t-value (12.45) was greater than the critical t-table value (2.045), indicating a significant difference between the pretest and posttest results. Thus, the use of the Genially interactive learning medium proved effective in improving German A1 vocabulary mastery and was able to create a more engaging and interactive learning atmosphere while supporting independent learning.

The increasingly rapid use of information technology is now an important need for various sectors of people's lives. The various conveniences offered, such as speed and accuracy in data processing, make information technology difficult to separate from daily life, especially in the world of education. At SMP Negeri 1 Tanarighu, the processing of student payment data is still carried out conventionally, which risks causing errors in data processing. Therefore, it is very necessary to have an information system that can process student payment data centrally and integrated. This information system is expected to reduce human error and increase efficiency in the administrative process. The Scrum method, known for its ability to manage projects with limited time and dynamic needs, is very appropriate to apply in the design of this information system. By using the Scrum method, the process of creating information systems can be carried out faster and more flexibly, adjusting to evolving needs, and ensuring more accurate and efficient data management at SMP Negeri 1 Tanarighu.

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.

This community service activity was carried out by lecturers of the College of Administrative Sciences (STIA) Satya Negara Palembang as part of fulfilling the obligations of the Tridarma of Higher Education, specifically in the aspect of community service. This program aims to increase citizen participation in public service evaluation by implementing a web-based digital suggestion box system at the Palembang City Tourism Office. This activity is motivated by the low effectiveness of conventional suggestion boxes, which are often less transparent, difficult to access, and slow to implement. Through a participatory approach and the use of digital technology, this system is designed to enable people to convey their aspirations, criticisms, and suggestions online with guaranteed identity confidentiality. The results of the implementation showed a significant increase in the number of suggestions, a reduction in response time from seven to two working days, and a community satisfaction rate of 92.74%. The implementation of this system also forms a more open and participatory pattern of public communication between the community and local governments. This activity has practical, academic, and policy implications as a model for implementing digital participatory governance that supports the principles of good governance and digital transformation of public services.

This community service activity was carried out by lecturers of the College of Administrative Sciences (STIA) Satya Negara Palembang as part of fulfilling the obligations of the Tridarma of Higher Education, specifically in the aspect of community service. This program aims to increase citizen participation in public service evaluation by implementing a web-based digital suggestion box system at the Palembang City Tourism Office. This activity is motivated by the low effectiveness of conventional suggestion boxes, which are often less transparent, difficult to access, and slow to implement. Through a participatory approach and the use of digital technology, this system is designed to enable people to convey their aspirations, criticisms, and suggestions online with guaranteed identity confidentiality. The results of the implementation showed a significant increase in the number of suggestions, a reduction in response time from seven to two working days, and a community satisfaction rate of 92.74%. The implementation of this system also forms a more open and participatory pattern of public communication between the community and local governments. This activity has practical, academic, and policy implications as a model for implementing digital participatory governance that supports the principles of good governance and digital transformation of public services.

Geographic Information Systems (GIS) play a vital role in managing and analyzing data related to geographical locations. This research aims to develop a Geographic Information System to map the distribution of internship students at Stella Maris University, Sumba, based on their geographical locations. This system is expected to provide clearer and more detailed information regarding the distribution of internship students, making it easier for the university to plan and manage internship activities more efficiently. This system is built using web-based GIS software, with location data obtained from the university's internship management system. By utilizing GIS technology, users can easily access digital maps that show the locations of students' internships and analyze their distribution. The implementation of this system is expected to benefit students, the university, and partner companies in monitoring the progress of the internship program and ensuring its successful implementation. The advantage of this system is its ease of access and use, as well as its ability to provide more accurate and visual data. It is hoped that this system will serve as a reference for the development of similar systems in the future and contribute positively to higher education in Sumba

The implementation of the Frequent Pattern Growth (FPG) algorithm in a web-based drug purchasing application at Sumber Sehat Pharmacy aims to improve efficiency and accuracy in analyzing customer drug purchasing patterns. The FPG algorithm is a method used to identify frequent purchase patterns or frequent itemsets in purchase transactions, which can then be used to make relevant drug recommendations for customers. This study uses a case study at Sumber Sehat Pharmacy to explore drug purchasing patterns and provide a data-driven solution that can help pharmacies improve service and adjust drug stocks according to customer needs. The results show that the application of the FPG algorithm can identify significant purchasing patterns and assist pharmacies in determining more appropriate promotional strategies and inventory management. By using a web-based application that implements this algorithm, Sumber Sehat Pharmacy can provide drug recommendations that are more in line with customer preferences, thereby increasing customer satisfaction and pharmacy operational efficiency.

The web-based MSME Data Collection Information System at the Central Sumba Cooperative, SME, Industry and Trade Office aims to improve efficiency in managing data and information related to Micro, Small and Medium Enterprises (MSMEs) in the Central Sumba region. This system is designed to simplify the process of data collection, monitoring, and reporting on MSMEs, which was previously done manually. Using web-based technology, this system can be accessed by MSME managers, local governments, and other relevant parties in order to accelerate data-driven decision making. This information system provides MSME data collection features, structured data storage, MSME development reporting, and statistical analysis that can assist in policy planning to improve the competitiveness and welfare of MSMEs in Central Sumba. With this system, it is hoped that it can support the development of the MSME sector in Central Sumba to be more transparent, accurate, and integrated.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

The objective of this research was to determine the influence of website quality, ease of use, and customer experience on purchase intention in Tokopedia e-commerce . The objectives include to determine the influence of website quality on purchase intention, to determine the influence of ease of use on purchase intention, and to determine the influence of customer experience on purchase intention. This study uses a descriptive quantitative approach with data collection methods of questionnaires, interviews, and documentation. The population in this study is the community of Jalan Garu II Medan Amplas and the sample as respondents of this study will be taken using probability sampling with the Slovin formula, namely 93 people who were met during the study. The data obtained in this study were analyzed using multiple linear regression analysis with the SPSS 26.0 program. The results of this study indicate that the calculated F value of 369.097 is greater than the F table of 2.474, which means that simultaneously there is an influence on website quality (X1), ease of use (X2), and customer experience (X3) on purchase intention in Tokopedia e-commerce. Partially, it can be seen that the website quality variables ( ¬X1), ease of use (X2), and customer experience (X3) have an effect on purchase intention (Y), namely the website quality variable (X1 ¬) of 3.227 is greater than the t table of 1.661, ease of use of 2.607 is greater than the t table of 1.661 and customer experience (X3) of 5.253 is greater than the t table of 1.661. Based on the results seen from the coefficient of determination of the website quality variables (X1 ¬), ease of use (X2), and customer experience (X3) have an effect, namely with an R2 value of 0.950 or 95%.

Thisl study aims lto determine lthe health llevel of lPT. Bank lSyariah Indonesia (lBSI) Tbk inl 2021-2024. The assessmentl indicators usedl in lthis study lare Capital, lAsset Quality, lManagement, Earning, andl Liquidity lor abbreviated las CAMEL. Thel Camel methodl is one of the factors lthat greatly ldetermines the healthl of la bank. Thisl study wasl conducted withl a lquantitative descriptive lapproach, namely usingl secondary ldata obtained lfrom library sources such as academic journals, government publications and annual lfinancial reports published lon the lcompany's officiall website, lby analyzing lthe CAR, lNPF, PDN, lROA, ROE, lBOPO, NI, land FDR lratios. The resultsl of thel study lshowed that lthe CAR lratio for the 2021-2024 periodl was given the predicatel "very lhealthy". The lNPF ratio lfor the 2021-2023l period was given thel predicate "lhealthy", whilel in 2024 lit was lgiven the lpredicate "veryl healthy". lThe PDN ratiol for thel 2021-2024 period lwas given lthe predicate "quite lhealthy". The ROAl ratio lin 2021-2024 was givenl the lpredicate "very healthy". lThe ROE lratio in 2021-2024 lwas given lthe predicate "lhealthy". The BOPO ratio in 2021-2024 lwas given lthe predicate "veryl lhealthy". The lNI ratio lin 2021-2024 lwas given lthe predicate "lhealthy". The lFDR ratio lin 2021 was lgiven the lpredicate "very lhealthy". However, inl 2022-2024 itl decreased and was givenl the lpredicate "healthy". lThe findings show lthat based lon these lindicators, the performance of Bank Syariahl Indonesial lTbkl in 2021-2024 was on average in the "very healthy" category, which indicates goodl financial health laccording to lthe overall lassessment.