文件搜索应用或数字档案中的算法实现概述

Hanifah Permatasari, T. Triyono, E. Purwanto
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引用次数: 0

摘要

随着时间的推移,公司的文件或文件或档案的数量不断增加。这些文件的形式有资料收集、活动报告、责任报告、工作建议、函件、法令、规章等。起初,该公司试图将纸质文件转换为数字文件,然后利用几个免费平台来存储这些文件。此外,由于非集中存储,企业发现难以控制数字文件。最后,公司正在尝试创建各种信息系统,使他们能够集中管理数字文件。其中大量的数字文件使得搜索过程更加漫长,因此有必要对搜索功能进行优化。本研究的目的是回顾在以前的研究中已经实现的优化文件搜索的几种算法。本研究选取了2015年至2022年Google Scholar中印度尼西亚的科学文章。本研究的结果是对以往研究中算法使用的解释,从而为进一步的研究提供参考和建议。本研究发现,每个管理公司文件或档案的信息系统或应用程序都需要一个搜索算法来提高系统性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Overview of Algorithms Implementation in File Search Applications or Digital Archives
As time goes by, the number of documents or files or archives in a company continues to increase. These files are in the form of data collection, activity reports, accountability reports, work proposals, letters, decrees, regulations, and so on. At first, the company tried to convert paper-based files into digital files, then took advantage of several free platforms to store them. Furthermore, companies find it difficult to control digital files because of the non-centralized storage. Finally, companies are trying to create various information systems that allow them to centrally manage digital files. A large number of digital files in it makes the search process even longer, so it is necessary to optimize the search features. The purpose of this study is to review several algorithms that have been implemented to optimize file searches in previous studies. This research takes Indonesian scientific articles from Google Scholar from 2015 to 2022. The result of this research is the explanation of the use of algorithms in previous studies so that this research can become a reference and suggestion for further research. This study found the fact that every information system or application that functions to manage company files or archives requires a search algorithm to improve system performance
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