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All Journal Teknosains: Media Informasi Sains dan Teknologi JPLED IECON: International Economics and Business Conference Outline Journal of Community Development
M. Salim
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : Teknosains: Media Informasi Sains dan Teknologi

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KLASIFIKASI TUTUPAN LAHAN PERKOTAAN MENGGUNAKAN NAIVE BAYES BERBASIS FORWARD SELECTION M. Salim
Teknosains Vol 10 No 2 (2016): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v10i2.1897

Abstract

Urban growth as one of the economic symptoms related to theprocess of urbanization and population displacement in a major way fromthe countryside to urban areas has fueled the city's growth issues. Thesedevelopments will bring up a number of problems when faced with thereality of the limited City area. Urban land cover data that has manyattributes with 9 types of target classification using the best attributes ofsearch techniques by applying the forward algorithm selection and naivebayes which merit independently in target and requires only a small amountof training data to determine the required parameter estimation inclassification process where accuracy 87,04% better compared to testingusing random forest algorithm-based forward selection at the level of72,72% accuracy. so it can be inferred with previous studies using randomforest algorithm with 84,42% accuracy. but better with naive bayesalgorithm-based forward selection with increased accuracy percentage levelof 2.62%.
Co-Authors Chairus Suryati Melky Suhery Simamora Rosyidi, Zudan Sulistiawati Rahayu Ahmad