ANALISA KOMPARASI ALGORITMA NAIVE BAYES DAN C4.5 UNTUK PREDIKSI PENYAKIT LIVER

  • Eva Rahmawati (1*) Teknik Informatika STMIK Nusa Mandiri

  • (*) Corresponding Author
Keywords: Hepatitis Disease Diagnosis, Particle Swarm Optimization, case-based reasoning, Data Mining Algorithms

Abstract

Liver disease is one of the deadliest diseases in the world. Several studies have been conducted to diagnose patients properly but still unknown what method was accurate in predicting liver disease. Data mining is the science that uses past data as a reference to get new knowledge. One of the data mining algorithms is a classification algorithm. Data are obtained from the UCI which consists of 583 records with 11 fields. In this research, comparative Naïve Bayes and C4.5 algorithms using software algorithms KNAME to know which are the most accurate in predicting liver disease. The results of the second test is known that the algorithm C4.5 algorithm has the highest accuracy value is 72.845% while the Naïve Bayes algorithm has a value of 63 362% accuracy. Thus C4.5 algorithm can more accurately predict liver disease.

References

Neshat, Mehdi, Mehdi Sargolzaei, Adel Nadjaran Toosi, dan Azra Masoumi. (2012). Hepatitis Disease Diagnosis using hybrid case-based reasoning and Particle swarm optimization. International Scholarly Research Network: ISRN Artificial Intelligence Volume 2012

Han, J., and Kember, M. (2006). Data Mining Concepts and Techniques. San Fransisco: Morgan Kauffman.

Wu, X., and Kumar, V. (2009). The Top Ten Algorithms in Data Mining. Boca Raton, London, New York: Taylor & Francis Group, LLC.

Departemen Kesehatan Republik Indonesia. (2009). Profil Kesehatan Indonesia 2009. Jakarta

Riduwan. (2008. Metode dan Teknik Menyusun Tesis. Alfabeta. (Bandung.

Witten, I. H., Frank, E., and Hall, M. A. (2011).Data Mining: Practical Machine Learning and Tools. Burlington: Morgan Kaufmann Publisher.

Sumathi, S., and Sivanandam, S. (2006). Introduction to Data Mining and its Applications. Verlag Berlin Heidelberg: Springer.

Santoso, B. (2007). Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis. Yogyakarta: Graha Ilmu.

Bramer, Max. (2007). Principles of Data Mining. London: Springer

Larose,D.T.(2005).DiscoveringKnowledgeinData.NewJersey:JohnWilley &Sons, Inc.

Maimon, Oded, and Rokach, Lior. (2010).Data Mining and Knowledge Discovery Handbook. New York: Springer.
Published
2015-09-15
How to Cite
Rahmawati, E. (2015). ANALISA KOMPARASI ALGORITMA NAIVE BAYES DAN C4.5 UNTUK PREDIKSI PENYAKIT LIVER. Jurnal Techno Nusa Mandiri, 12(2), 125-136. https://doi.org/10.33480/techno.v12i2.443
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