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All Journal Jurnal Armada Informatika Pascal: Journal of Computer Science and Informatics
Saliana Br Selian
Universitas Budi Darma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Social Sciences

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Analysis of Website Access Patterns Using the FP-Growth Algorithm for Web Navigation Optimization Saliana Br Selian; Jhonsiman Simamora; Murdani Murdani
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

The development of internet technology has made websites the primary medium for delivering information and digital services, especially in e-commerce platforms. However, the complexity of website navigation often causes users difficulties in finding information or products quickly and efficiently. This study aims to analyze website user access patterns using the FP-Growth algorithm to optimize web navigation structures. The research method consists of several stages, including collecting user access log data, data preprocessing, transforming data into transaction forms, and applying the FP-Growth algorithm to identify frequent itemsets and association rules. The results indicate that the FP-Growth algorithm effectively identifies user access patterns, such as relationships between pages frequently visited together, including search pages, product details, carts, and checkout pages. The obtained confidence values indicate consistent navigation patterns among e-commerce website users. Based on these findings, navigation optimization recommendations were developed, including simplifying access flows, placing strategic features effectively, and improving user experience. Therefore, the implementation of the FP-Growth algorithm can help improve website navigation effectiveness in a more adaptive and efficient manner
Conceptual Design of an Internet of Things (IoT)-Based Automatic Plant Irrigation System Using ESP8266 NodeMCU and the Blynk Platform Sri Lestari Sitohang; Saliana Br Selian; Chokes Lumbantoruan; Dicky Wahyudi
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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The increasing demand for efficient plant maintenance has accelerated the adoption of Internet of Things (IoT) technologies in smart agriculture. This paper presents a conceptual design of an IoT-based automatic plant irrigation system utilizing the ESP8266 NodeMCU microcontroller and the Blynk platform for remote monitoring and control. The proposed system design includes the selection of hardware components, namely the YL-69 soil moisture sensor, a 5 V relay module, and a DC 5 V submersible water pump, as well as the development of software architecture incorporating automatic irrigation control logic and Blynk widget configuration. The proposed architecture adopts a three-layer IoT model consisting of the device layer, the Wi-Fi communication layer, and the application layer implemented through the Blynk platform. The designed system is intended to automatically activate the water pump when the measured soil moisture falls below a predefined threshold and deactivate it once sufficient soil moisture has been achieved. In addition, users can monitor soil moisture conditions in real time and manually operate the irrigation system through the Blynk mobile application. A comparative analysis of existing IoT-based irrigation studies indicates that the proposed conceptual framework provides a comprehensive integration of hardware architecture, communication mechanisms, software workflow, and user interface design. Furthermore, the selection of ESP8266 NodeMCU and the Blynk platform offers advantages in terms of ease of implementation, low deployment cost, scalability, and user-friendly operation. Although this study is limited to the conceptual design stage without prototype implementation or experimental validation, the proposed framework can serve as a practical reference for future development and implementation of IoT-based automatic irrigation systems.
Co-Authors Chokes Lumbantoruan Dicky Wahyudi Jhonsiman Simamora Murdani Murdani Sri Lestari Sitohang