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

Asti Ratnasari

Abstract


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.

References


A. Riera, P. Brown, S. Online, and W. Security, “Bringing Confidence to Electronic Voting,” vol. 1, no. 1, pp. 14–21, 2003.

A.Ratnasari,“E-votingversusPemilihMuda,” 2018. [Online]. Available: https://evotingindonesia.org/2018/04/11/e-voting-versus-pemilihmuda/. [Accessed: 25-Aug-2018].

A. Ratnasari, “ANALISIS INTENSI MASYARAKAT UNTUK MENGGUNAKAN E-VOTING PADA PEMILIHAN PRESIDEN INDONESIA (Studi Kasus: Desa Gondang, Kecamatan Kebonarum, Kabupaten Klaten),” 2015.

W. Pieters, “Acceptance of Voting Technology :,” pp. 283–284, 2006.

N. P. Club, “Ten Things I Want People To Know About Voting Technology By Kim Alexander , President & Founder of the California Voter Foundation Presented to the Democracy Online Project â€TM s National Task Force,” 2001

A. Al-ameen and S. Talab, “The Technical Feasibility and Security of E-Voting,” vol. 10, no. 4, pp. 397–404, 2013.

M. Achieng and E. Ruhode, “THE ADOPTION AND CHALLENGES OF ELECTRONIC VOTING TECHNOLOGIES,” no. December, 2013.

D. Cansell and M. Dominique, “Refinement : A Constructive Approach to Formal Software Design for a Secure e-voting Interface,” vol. 183, pp. 39–55, 2007.

M. Hapsara, A. Imran, and T. Turner, “ScienceDirect ScienceDirect Beyond Organizational Motives of e-Government Adoption : The Case of e-Voting Initiative in Indonesian Villages,” Procedia Comput. Sci., vol. 124, pp. 362–369, 2018.

M. F. M. Mursi, A. Abdelhafez, and K. M. Abo, “On the Development of Electronic Voting : A Survey On the Development of Electronic Voting : A Survey,” 2013.

K. Vassil, M. Solvak, P. Vinkel, A. H. Trechsel, and R. M. Alvarez, “The diffusion of internet voting. Usage patterns of internet voting in Estonia between 2005 and 2015 ☆,” Gov. Inf. Q., vol. 33, no. 3, pp. 453–459, 2016.

M. Hapsara, “ASSESSING E-VOTING AS A CRITICAL SYSTEM FOR INDONESIA‟S PRESIDENTIAL ELECTION 2014,” no. March 2011, 2014.

O. A. Dare-abel, “Task-Technology Fit of CAD Deployment in Architectural Firms in Nigeria,” no. November 2014, 2015.

N. Valaei, S. E. Group, and S. R. Nikhashemi, “Task Technology Fit in Online Transaction Through Apps,” no. April, 2018.

F. Bukie, “Task Technology Fit and Lecturers Performance Impacts : The Technology Utilization , Satisfaction and Performance ( TUSPEM ) Dimension,” vol. 12, no. 3, 2015.

T. J. Mcgill and J. E. Klobas, “Computers & Education A task – technology fit view of learning management system impact,” Comput. Educ., vol. 52, no. 2, pp. 496–508, 2009.

B. Furneaux, Task-Technology Fit Theory: A Survey and Synopsis of the Literature. nformation Systems Theory: explaining and predicting our digital society, Vol. 1, 2012.

P. Bass, “Task-Technology Fit in The WorkPlace . Affecting Employee Satisfaction and Productivity,”no. March, 2010.

D. L. Goodhue and R. L. Thompson, “Task-technology fit and individual performance,” MIS Q. Manag. Inf. Syst., vol. 19, no. 2, pp. 213–233, 1995

Sugiono, Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta, 2008.

A. A. and P. J., Metodologi Penelitian Kedokteran dan Kesehatan Masyarakat. Jakarta Barat: Binarupa Aksara, 2003.

Jogiyanto, Metodologi Penelitian Sistem Informasi. Yogyakarta: Andi Offset, 2008.

W. Zikmund, B. J. Babin, J. C. Carr, and M. Griffin, Business Research Methods Eight Edition. Canada: Nelson Education, 2010.

I. Ghozali, Aplikasi AnalisisMultivariate Dengan Program SPSS. Semarang: Universitas Diponegoro, 2011.

A. Bere, “Applying an extended task-technology fit for establishing determinants of mobile learning: An instant messaging initiative,” J. Inf. Syst. Educ., vol. 29, no. 4, pp. 239–252, 2018.

Sudarmanto, R. G. (2005). Analisis Regresi Linear Ganda dengan SPSS. Yogyakarta: Graha Ilmu.




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

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View IJICT Stats