Perancangan Sistem Enkripsi dan Dekripsi File Dokumen Berbasis Web Pada Google Drive Menggunakan Algoritma Advanced Encryption Standard (AES)

Data security is a very important aspect, especially when using storage services such as Google Drive. Although Google Drive is equipped with an encryption system, users still need additional protection to ensure the security of their files. This study aims to design and develop a web-based system that can encrypt and decrypt documents using the AES (Advanced Encryption Standard) algorithm. Files supported by this system include text files (.txt), Word documents (.docx), PowerPoint (.pptx), and Excel (.xlsx). The developed system provides an intuitive interface, including an auto-upload feature that allows users to directly upload encrypted files to Google Drive by simply clicking the button provided. This integration aims to improve the user experience in securing data, as well as prevent potential unauthorized access from other parties who may have access to file links on Google Drive without user permission. This system works by encrypting files before they are uploaded to Google Drive and decrypting files after they are downloaded, so that only users who have access can open the files. The system creation process is carried out through several stages, starting from needs analysis, interface design, integration with Google Drive, to testing. The test results show that the system functions well and is able to maintain the security of user files. This system can be an additional solution to protect files stored on Google Drive.

Authors

Publication Details

Journal
Blantika Multidisciplinary Journal
Published
2025-06-02
DOI
https://doi.org/10.57096/blantika.v3i6.369
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perancangan Sistem Enkripsi dan Dekripsi File Dokumen Berbasis Web Pada Google Drive Menggunakan Algoritma Advanced Encryption Standard (AES)

Jessica Anastasia, M. Bóna, Ignasius Kosat, Mayela K. Sifa et al.
Blantika Multidisciplinary Journal
Computer Science and Engineering
article

Perancangan Sistem Enkripsi dan Dekripsi File Dokumen Berbasis Web Pada Google Drive Menggunakan Algoritma Advanced Encryption Standard (AES)

Jessica Anastasia, M. Bóna, Ignasius Kosat, Mayela K. Sifa, Falentina Sallu
article en

Abstract

Data security is a very important aspect, especially when using storage services such as Google Drive. Although Google Drive is equipped with an encryption system, users still need additional protection to ensure the security of their files. This study aims to design and develop a web-based system that can encrypt and decrypt documents using the AES (Advanced Encryption Standard) algorithm. Files supported by this system include text files (.txt), Word documents (.docx), PowerPoint (.pptx), and Excel (.xlsx). The developed system provides an intuitive interface, including an auto-upload feature that allows users to directly upload encrypted files to Google Drive by simply clicking the button provided. This integration aims to improve the user experience in securing data, as well as prevent potential unauthorized access from other parties who may have access to file links on Google Drive without user permission. This system works by encrypting files before they are uploaded to Google Drive and decrypting files after they are downloaded, so that only users who have access can open the files. The system creation process is carried out through several stages, starting from needs analysis, interface design, integration with Google Drive, to testing. The test results show that the system functions well and is able to maintain the security of user files. This system can be an additional solution to protect files stored on Google Drive.

Blantika Multidisciplinary JournalVol. 3(6)
Openalex Percentile: Top 90%
Computer Science and Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.