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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
G. Christian Happy
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Computer Science & IT Mathematics Other

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APLIKASI E-COMMERCE DENGAN PERINGKAT OTOMATIS MENGGUNAKAN NAIVE BAYES PADA KAIJIN STORE G. Christian Happy
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (86.88 KB) | DOI: 10.24912/jiksi.v4i2.104

Abstract

E-Commerce Applications wtih Automatic RAting Using Naive Bayes On Store Kaijin an E-Commerce website that connects buyers and sellers with its rank is automatic. The system is made using Naive Bayes method to automatically ranked based on the comments. Ranking results are divided into two categories: positive comments and negative comments. Ranking one and two are included in the negative category, while no. three and four are included in the positive category. The test results using the confusion matrix for the evaluation process. Tests using 160 training data nd test data 40 is 40 there are 36 incoming data to the actual ratings and four the data differ from actual ratings so system accuracy of 90%.
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