Pembuatan Evoting dengan Model Multi Vote Berdasarkan Kategori Menggunakan Hashing SHA-256

Voting at SMK Plus YSB Suryalaya has traditionally been carried out manually, resulting in a time-consuming process that is prone to errors. Therefore, to improve the efficiency and accuracy of the election process, an online voting system is needed. This research aims to develop a web-based E-Voting system with a Multi-Vote model, allowing voters to vote for multiple candidates across different election categories. This system is designed to simplify the election process at the school, with features such as candidate registration, voter registration, real-time voting, and automatic processing and tabulation of election results. The system was tested using Black Box Testing to ensure its functionality and security, and the results show that the system performs well and meets user requirements. With this system, it is expected that the election process at SMK Plus YSB Suryalaya can be carried out more efficiently, transparently, and with fewer errors.

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Publication Details

Journal
Bridge
Published
2025-07-04
DOI
https://doi.org/10.62951/bridge.v3i3.538
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Pembuatan Evoting dengan Model Multi Vote Berdasarkan Kategori Menggunakan Hashing SHA-256

Tatang Nugraha
Bridge
Data Mining and Machine Learning Applications
article

Pembuatan Evoting dengan Model Multi Vote Berdasarkan Kategori Menggunakan Hashing SHA-256

Tatang Nugraha
article en

Abstract

Voting at SMK Plus YSB Suryalaya has traditionally been carried out manually, resulting in a time-consuming process that is prone to errors. Therefore, to improve the efficiency and accuracy of the election process, an online voting system is needed. This research aims to develop a web-based E-Voting system with a Multi-Vote model, allowing voters to vote for multiple candidates across different election categories. This system is designed to simplify the election process at the school, with features such as candidate registration, voter registration, real-time voting, and automatic processing and tabulation of election results. The system was tested using Black Box Testing to ensure its functionality and security, and the results show that the system performs well and meets user requirements. With this system, it is expected that the election process at SMK Plus YSB Suryalaya can be carried out more efficiently, transparently, and with fewer errors.

BridgeVol. 3(3)
Telkom Institute of Management (ID)
Openalex Percentile: Top 74%
Data Mining and Machine Learning Applications
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