Implementation of a Stack Data Structure for Browsing History Management in the Form of a Chrome Web Browser Extension

Browsing history is a fundamental feature in modern browsers, yet its management remains inefficient in many implementations. This research develops a Chrome extension utilizing the Stack data structure, leveraging its Last In, First Out (LIFO) principle to store, search, delete, and open browsing history URLs efficiently. The system is designed with Chrome's API to monitor tab activities, store data locally, and provide an interactive user interface. The findings demonstrate that the stack-based approach is more efficient than conventional methods. The system also offers users straightforward features for managing history, including search and individual deletion capabilities.

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Publication Details

Journal
IJEDR Indonesian Journal of Education and Development Research
Published
2024-12-29
DOI
https://doi.org/10.57235/ijedr.v3i1.4576
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
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article

Implementation of a Stack Data Structure for Browsing History Management in the Form of a Chrome Web Browser Extension

Fanny Ramadhani, Ega pratama, Muhammad Kautsar, Urip Harahap et al.
IJEDR Indonesian Journal of Education and Development Research
Web Data Mining and Analysis
article

Implementation of a Stack Data Structure for Browsing History Management in the Form of a Chrome Web Browser Extension

Fanny Ramadhani, Ega pratama, Muhammad Kautsar, Urip Harahap, Muhammad Rizki Andrian Fitra
article en

Abstract

Browsing history is a fundamental feature in modern browsers, yet its management remains inefficient in many implementations. This research develops a Chrome extension utilizing the Stack data structure, leveraging its Last In, First Out (LIFO) principle to store, search, delete, and open browsing history URLs efficiently. The system is designed with Chrome's API to monitor tab activities, store data locally, and provide an interactive user interface. The findings demonstrate that the stack-based approach is more efficient than conventional methods. The system also offers users straightforward features for managing history, including search and individual deletion capabilities.

IJEDR Indonesian Journal of Education and Development ResearchVol. 3(1)
State University of Medan (ID)
Openalex Percentile: Top 61%
Web Data Mining and Analysis
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