Vol. 4 No. 1 (2025): June 2025

The rapid growth of e-commerce has significantly reshaped retail practices and consumer behavior in Indonesia. Digital platforms such as Shopee, Tokopedia, and Bukalapak have become integral to daily transactions, yet their long-term success depends on how users perceive the quality of services provided through their websites. This study applies the WebQual 4.0 framework to evaluate three critical dimensions of website quality—usability, information quality, and service interaction quality—and their influence on user satisfaction. A quantitative approach was employed, involving a survey of 120 active e-commerce users in Aceh Besar. Data collection was conducted through structured questionnaires, and the results were analyzed using validity and reliability testing, supported by regression analysis to test the proposed hypotheses.The findings reveal that all three WebQual 4.0 dimensions significantly affect user satisfaction. Among them, usability emerged as the most dominant factor, reflecting the importance of ease of navigation, intuitive design, and functional accessibility in shaping consumer experiences. Information quality also plays a crucial role, particularly in ensuring that consumers trust the accuracy and clarity of product descriptions. Service interaction, while less influential compared to the other two dimensions, remains essential in fostering customer trust and loyalty. Comparative analysis shows that Shopee outperformed Tokopedia and Bukalapak across all dimensions, suggesting that continuous innovation in interface design and user support has strengthened its market position.These results confirm that enhancing website quality is not only vital for increasing satisfaction but also for sustaining consumer loyalty in the competitive e-commerce environment. For practitioners, the study emphasizes the necessity of prioritizing usability while simultaneously improving content reliability and responsiveness to user needs. For future research, expanding the scope to include additional variables such as pricing strategies, digital promotions, or cross-platform shopping experiences may provide broader insights into consumer decision-making patterns in online retail.

This study develops a web-based recommendation system to assist consumers in identifying the lowest product prices across Indonesian online stores by applying Tsukamoto fuzzy logic with two sets. The research is motivated by Indonesia’s rapidly expanding digital economy, projected to reach USD 100 billion by 2025, where competitive pricing plays a central role in consumer decision-making. The system was designed and implemented using PHP and MySQL, with input variables comprising product price (Rp0–Rp10,000,000) and store ratings (1–5 scale). Data were collected through literature review, observation, interviews, and website analysis, followed by system design, development, and evaluation. Testing on 50 electronic products produced an average recommended price of Rp2,625,000, with a 95% accuracy rate compared to manual searches and an average response time of 1.5 seconds. User evaluation, involving 30 respondents, indicated a 90% satisfaction rate, emphasizing ease of use and responsiveness. The Tsukamoto fuzzy logic approach demonstrated effectiveness in handling uncertainty between price and rating variables, generating precise recommendations through monotonic membership functions and α-predicate calculations. However, the system showed reduced accuracy for mid-range ratings, reflecting limitations of using only two fuzzy sets and aligning with previous findings comparing Tsukamoto and Sugeno methods. Additionally, frequent price fluctuations in online marketplaces necessitate periodic data updates. The study concludes that this system provides a practical and accurate tool to support online shopping decisions in Indonesia’s dynamic e-commerce landscape. Future improvements may include introducing a third fuzzy set, integrating real-time data retrieval, and enhancing consumer preference analysis through sentiment-based approaches.

This study focuses on designing and implementing a web-based savings and loan information system for the Village-Owned Enterprise (BUMDes) in Lolong Village, Nagawutung Subdistrict, Lembata Regency, East Nusa Tenggara. The system addresses inefficiencies in manual financial management, previously reliant on notebooks and spreadsheet software, by utilizing PHP and MySQL to streamline the handling of member data, savings, loans, and installment records. A modified Waterfall methodology guides the development process, employing a structured sequence of stages to ensure alignment with operational needs. Unified Modeling Language (UML) diagrams, including Use Case and Activity Diagrams, map user interactions and process workflows, facilitating a clear design framework. Data collection, conducted between April and May 2023, involved observing operational challenges and gathering requirements to create an intuitive interface accessible through web browsers. The system enables administrators to process transactions rapidly and accurately, while members can view their savings and loan details via personal accounts, fostering greater transparency in village financial operations. Compared to earlier manual methods, the system minimizes errors and reduces risks of mismanagement, offering a reliable tool for rural financial administration. Challenges such as managing credit risks and ensuring user adoption highlight the need for additional features, such as enhanced security measures like two-factor authentication and comprehensive user training programs. The resulting system provides a scalable solution for improving financial management in rural settings, with opportunities for future enhancements to support long-term sustainability and broader community participation in economic activities.

 The rapid development of Internet of Things (IoT) technologies has intensified the need for compact, cost-effective actuators that can be seamlessly integrated into smart devices such as home automation systems and portable robotics. This study presents the design, construction, and optimization of a low-cost direct current (DC) electric motor using readily available materials, including copper wire, an iron core, and neodymium magnets. A series of experiments were conducted to evaluate the influence of coil turns, magnet strength, input voltage, and pulse-width modulation (PWM) duty cycles on torque, rotational speed, and efficiency. Results demonstrated that a configuration with a 100-turn coil, a 0.4 Tesla magnet, and a 9 V power input achieved a rotational speed of 160 RPM with an efficiency of 34%, confirming suitability for low-power IoT devices. Finite Element Analysis (FEA) was employed to validate and refine the experimental design, showing a 20% improvement in magnetic flux density and a close correlation with measured torque values. Furthermore, the motor was integrated with an ESP32 microcontroller, enabling precise speed regulation and remote operation via Wi-Fi and MQTT protocols, as demonstrated in a prototype smart fan application. With a total manufacturing cost of under $5, the proposed motor design offers a scalable and affordable solution for resource-constrained environments, addressing barriers to widespread IoT adoption in developing regions. The findings highlight the potential of combining simple construction methods with digital control and simulation tools to create efficient, accessible, and IoT-compatible actuators that support ongoing advancements in smart device technology.

This study analyzes the design and implementation of an integrated system using N8N for Bank Koperasi Syariah Indonesia in Aceh Province (Kopebi Aceh). The five operational modules were developed using a Research and Development (R&D) approach with a prototype model. These modules include Point of Sale, Sharia Financing, Financial Reporting, and Membership Management. The system uses N8N as a workflow automation platform, connecting various services through webhooks and embedding Sharia-compliant business logic using Function Nodes. Performance evaluation conducted two months after implementation showed significant technical improvements: response time was reduced by 88.6%, throughput increased by 466.7%, and downtime was reduced by 94.1%. Operational efficiency also experienced a remarkable increase, with transaction processing time reduced by 85.6%, data entry errors reduced by 96.6%, and monthly reporting time reduced by 99.2%. These improvements resulted in improved organizational outcomes, including a 23.3% increase in operating revenue, a 65.3% decrease in operating expenses, a 29.2% increase in profit margins, and a 47.1% increase in member profit sharing. User surveys indicated a positive perception of the system, with all dimensions scoring above 4.5 on a 5-point scale. Compliance with Sharia principles also increased from 85% to 99%, reflecting compliance with Islamic financial standards. Low-code/no-code platforms such as N8N can effectively facilitate the digitalization of Sharia cooperatives without requiring significant investment in software development. The proposed development model is a practical reference for other Sharia cooperatives in Indonesia seeking to improve efficiency and ensure regulatory compliance.