JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi

PERSONAL IDENTIFICATION BERBASIS WEB MENGGUNAKAN MULTINOMIAL NAÏVE BAYES

Andreas Khosasi (Unknown)
Viny Christanti Mawardi (Unknown)
Meiske Yunitree Suparman (Unknown)

Article Info

Publish Date
09 Jan 2017

Abstract

Personality is a whole way an individual reacts and interacts with other individuals[1] In this personal identification using the basic theory of Hippocrates. The method used for classification is Multinomial Naïve Bayes. There are several stages of preprocessing such as casefolding, tokenizing with unigram and Bigram well as term frequency. The results of the classification is divided into four categories: sanguine, melancholic, plegmatis and choleric. Confusion matrix is used as evaluation  with 85 %  accuracy value of 160 training data and  40 testing data consist each category.

Copyrights © 2016




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
86.04 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Website

Abbrev

jiksi

Publisher

Universitas Tarumanagara

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...