JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 5, No 1 (2017): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI

SISTEM PENUNJANG KEPUTUSAN DIAGNOSIS PENYAKIT HIPERTENSI DENGAN METODE NAIVE BAYES CLASSIFIER

Randy Ramadhiansa (Unknown)



Article Info

Publish Date
25 Aug 2017

Abstract

Decision Support System is useful to make a decision. One example of  decision support system is Naive Bayes Classifier. The purpose of this application is to help the general public in diagnosis hypertension disease. So, public can also be quickly treat hypertension disease This method will help decision makers  make decisions only by requiring small amount of training data to determine parameter, Criteria used in the application are age, pulse, blood pressure (diastolic and systolic), height and weight. Evaluation and testing on this application using questionnaires. The questionnaires have been distributed to the user, and the results from testing these applications can be concluded is already fit for use to the public in early diagnosis of hypertension disease, that this application is suitable for use in the community to diagnosis hypertension.

Copyrights © 2017






Journal Info

Abbrev

jiksi

Publisher

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 ...