Task Technology Fit Model on E-voting Technology Election of High School Student Council SMK Muhammadiyah 1 Bantul

Asti Ratnasari


E-voting is a tool that supports the voting process, starting from recording, voting, and counting votes using electronic devices. E-voting promises a faster voting process, reduced budget costs, lost votes due to damaged ballot papers during the voting process, and others. E-voting became known in the high school student council elections (Pemilos SMA). Various high schools have started using e-voting applications to replace conventional Pemilos. High school age or entering the age of 17 have entered the voter list or are often known as first-time voters. The introduction of e-voting needs to be carried out continuously, especially for first-time voters who have great potential in the success of the General Election (Pemilu) using e-voting. Beginner voters are more computer literate and interested in using new technology (e-voting) than older voters and adults. Moreover, the Agency for the Assessment and Application of Technology (BPPT) continues to develop e-voting which will be applied nationally in the General Election. This can increase voter participation if e-voting is felt to improve individual duties when voting compared to conventional voting. Voter participation in a democratic system is essential for the sustainability of democracy in Indonesia. This study aims to determine the suitability of e-voting in Pemilos SMA to support user tasks compared to conventional Pemilos. Furthermore, this study is to determine whether task characteristics have a positive effect on task-technology fit, whether individual characteristics have a positive effect on task-technology fit, whether individual characteristics have a positive influence on task-technology fit. on performance impacts on Pemilos SMA using e-voting. Multiple regression analysis was used to determine the effect between independent variables on the dependent variable with a significance level of 5% (= 0.05). The output and target of this research are scientific articles published in international journals, thus contributing to new scholars regarding e-voting and evaluation models using Task-Technology Fit. Technology Readiness Level (TKT) in this study uses TKT level 3.


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DOI: http://doi.org/10.11591/ijict.v10i3.pp%25p


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