CLASSIFICATION OF THE PROSPECTS FOR CITY TREES LIFE EXPECTANCY USING NAIVE BAYES METHOD

  • Muhammad Rifqi Firdaus (1*) STMIK Nusa Mandiri
  • Abdul Latif (2) STMIK Nusa Mandiri
  • Ipin Sugiyarto (3) STMIK Nusa Mandiri
  • Windu Gata (4) STMIK Nusa Mandiri

  • (*) Corresponding Author
Keywords: City Trees, Classification, Naive Bayes

Abstract

Besides the city is a large and extensive residential area. as a center for the activities of its citizens, both from economic, cultural, and development activities. Development in the city leads to the physical development of the city with the many facilities and infrastructure in the city, making activities in the city cause some pollution problems. To overcome this problem, the government often creates green open space in the middle of the city. Planting shade trees will help to balance the problem of pollution due to development. Trees can reduce temperatures, in addition to absorbing air and climate pollution. trees can help save energy. Naive Bayes is a classification with probability and statistical methods, namely predicting future opportunities based on experience based on the assumption of simplification that attribute values are conditionally free if given an output value. Data processing with Naive Bayes produces a Precision value of 0.840%, a recall value of 0.848%, and an AUC of 0.873%. These results indicate that the results are included in the excellent category.

Author Biographies

Abdul Latif, STMIK Nusa Mandiri

Computer Science Study Program

Ipin Sugiyarto, STMIK Nusa Mandiri

Computer Science Study Program

Windu Gata, STMIK Nusa Mandiri

Computer Science Study Program

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Published
2020-08-01
How to Cite
Firdaus, M., Latif, A., Sugiyarto, I., & Gata, W. (2020). CLASSIFICATION OF THE PROSPECTS FOR CITY TREES LIFE EXPECTANCY USING NAIVE BAYES METHOD. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 6(1), 55-60. https://doi.org/10.33480/jitk.v6i1.1405
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