ALGORITMA C4.5 UNTUK PREDIKSI HASIL PEMILIHAN LEGISLATIF DPRD DKI JAKARTA

  • Evicienna Evicienna (1*) Komputerisasi Akuntasi AMIK BSI Jakarta
  • Hilda Amalia (2) Komputerisasi Akuntasi AMIK BSI Jakarta

  • (*) Corresponding Author
Keywords: C4.5 Algorithm, Prediciton, Election

Abstract

Elections are a means of implementation of the sovereignty of the people in the Unitary State of Indonesia based on Pancasila and 1945 Constitution. Elections held in Indonesia is to choose the leadership of both the president and vice president, member of parliament, parliament, and the DPD. The election results should be predicted accurately because of an impact on various aspects of social, economic, security, and others. Based on these problems we need a model that can accurately predict the outcome of the election. C4.5 algorithm model is a model that is easy to understand and has a good degree of accuracy. By using the C4.5 algorithm models the obtained results are of high accuracy values for the election results in the amount of 97.84% and the AUC value obtained is 0.970 with a diagnosis rate Excellent Classification

References

Borisyuk, R., Borisyuk, G., Rallings, C., & Thrasher, M. (2005). Foresting the 2005 General Election: A Neural Network Approach. The British Journal of Politics & International Relations Volume 7, Issue 2, 145-299.

Choi, J. H., & Han, S. T. (1999). Prediction of Election Results Using Discrimination of Non-Respondents. Dawson, C. W. (2009). Project in Computing and Information System A Student's Guide. England: Addison-Wesley.

Gorunescu, F. (2011). Data Mining Concepts, Model and Technique. Berlin: Springer.

Han, J., & Kamber, M. (2006). Data Mining Concepts and technique. San Francisco: Diane Cerra

Moscato, P. Mathieson, L. Mendes, A., & Berretta, R. (2004). The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction.

Sardini, N. H. (2011). Restorasi Penyelenggaraan Pemilu di Indonesia. Yogyakarta: Fajar Media Press

Undang-Undang Republik Indonesia Nomor 3 Tahun 1999. Tentang: Pemilihan Umum.

Vercellis, C. (2009). Business Intelligence: Data Mining and Optimization for Decision Making. Southern Gate, Chichester, West Sussex: John Wiley & Sons, Ltd.

Vishnuprasad, N. (2005). Building Predictive Models for Election Results In Indiana-an Application of Classification
Published
2013-03-15
How to Cite
Evicienna, E., & Amalia, H. (2013). ALGORITMA C4.5 UNTUK PREDIKSI HASIL PEMILIHAN LEGISLATIF DPRD DKI JAKARTA. Techno Nusa Mandiri: Journal of Computing and Information Technology, 10(1), 48-56. Retrieved from https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/559
Article Metrics

Abstract viewed = 52 times
PDF downloaded = 163 times