Aplikasi E-Voting Berbasis Mobile Menggunakan Optical Character Recognation

Putra, Fajri Profesio; Huda, Oka Nurul; Jaroji, Jaroji

doi:10.33795/jip.v4i3.199

Cited by 2 publications

(2 citation statements)

References 1 publication

(1 reference statement)

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“…BEM berperan di tingkat atau level Universitas dan memiliki struktur organisasi masing-masing. Dan kepengurusan BEM secara regular diganti setiap dua semester atau satu tahun [1].…”

Section: Pendahuluan Badan Eksekutif Mahasiswa (Bem) Universitasunclassified

E-Voting Pemilihan Ketua Bem Universitas Timor Berbasis Mobile Menggunakan Metode Waterfall

Gelu

Nababan

Kelen

2022

JITU

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The Student Executive Board (BEM) of the University of Timor is a student organization located at the State University of Timor. In its implementation, BEM at the University of Timor acts as a forum or means for all students of the University of Timor to be able to express their opinions and to develop various potentials that students have. The election of the chairman of the BEM of the University of Timor is directly elected by the students by a general election process. The process of selecting the chairman of the BEM is still done manually so that there is a lack of interest from voters to participate because they have to go to the polling station. Therefore, the development of information technology today has brought great changes for humans, including to carry out voting so that the term e-voting (electronic voting) appears which provides convenience in voting. E-Voting is a general election process that utilizes information technology facilities or electronic devices, where part or all of the implementation process, from voter registration, voting, to vote counting, is carried out digitally. The function of voting is to gather the aspirations of all students, and then find a way out that is considered a good cross. Therefore, the researchers helped the election system easily and created an application for the election with the title "E-voting for the election of the chairman of the Mobile-based Student Executive Board (BEM) of the University of Timor using the waterfal method".

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“…BEM berperan di tingkat atau level Universitas dan memiliki struktur organisasi masing-masing. Dan kepengurusan BEM secara regular diganti setiap dua semester atau satu tahun [1].…”

Section: Pendahuluan Badan Eksekutif Mahasiswa (Bem) Universitasunclassified

E-Voting Pemilihan Ketua Bem Universitas Timor Berbasis Mobile Menggunakan Metode Waterfall

Gelu

Nababan

Kelen

2022

JITU

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“…Analyzing public sentiment towards election results through platforms like Twitter using methods like Naive Bayes has further enriched the understanding of quick count dynamics [25][26]. Efforts to streamline the voting process have led to developing technologies such as evoting applications, leveraging tools such as Optical Character Recognition for swift and accurate data collection [27]. Furthermore, integrating big data from social media platforms has been explored to analyze election outcomes and public engagement [28].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the 2024 Governor Election Quick Count with Extreme Gradient Boosting (XGBoost) to Increase Voting Prediction Accuracy

Suacana,

Suhariyanto,

Nuru

2024

ijsecs

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This research aims to increase the accuracy of vote predictions in the Quick Count process in the 2024 Governor Election using the XGBoost algorithm. Quick Count is a fast method for obtaining estimates of election results based on some of the data that has been calculated. The XGBoost algorithm was chosen because it has proven effective in various applications, including predictive modeling. This research analyzes the implementation of the XGBoost algorithm in modeling vote predictions for Quick Count, especially in the context of the 2024 gubernatorial election. By using various evaluation metrics such as accuracy, precision, recall, and F1-score, this research provides a comprehensive understanding of the performance of the XGBoost model. The research results show that the XGBoost algorithm achieves high accuracy, precision, recall, and F1 score, demonstrating its ability to classify sounds accurately. The practical implications of this research are significant in improving the integrity of the democratic process by providing more reliable and transparent election results. Additionally, this research paves the way for developing more sophisticated Quick Count methods by leveraging insights from previous research on machine learning techniques and data security.

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Aplikasi E-Voting Berbasis Mobile Menggunakan Optical Character Recognation

Cited by 2 publications

References 1 publication

E-Voting Pemilihan Ketua Bem Universitas Timor Berbasis Mobile Menggunakan Metode Waterfall

E-Voting Pemilihan Ketua Bem Universitas Timor Berbasis Mobile Menggunakan Metode Waterfall

Optimizing the 2024 Governor Election Quick Count with Extreme Gradient Boosting (XGBoost) to Increase Voting Prediction Accuracy

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