Pengembangan Aplikasi Sistem Pakar Preferensi ‘Bahasa Cinta’ Manusia Berbasis Web

The purpose of this research is to produce a web-based expert system application to identify a person's love language using the nave Bayes classifier method. This expert system application to identify a person's love language is intended for people who have not realized how important it is to know which love language is relevant to them. This expert system application to identify a person's love language provides guidance in the form of questions about the type of love language. The answers to the questions asked will lead to the final decision on the results of the expert system diagnosis. Sources of expert system application knowledge base obtained from books and the internet. In making the application using the extreme programming software development method. Extreme programming consists of four stages, namely: planning, design, coding, and testing. The result of this research is the application of an expert system of love language identification that works on a web base.

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Publication Details

Journal
KALBISIANA Jurnal Sains Bisnis dan Teknologi
Published
2024-09-09
DOI
https://doi.org/10.53008/kalbisiana.v10i3.1363
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
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article

Pengembangan Aplikasi Sistem Pakar Preferensi ‘Bahasa Cinta’ Manusia Berbasis Web

Daniel Bimo Yudiantara
KALBISIANA Jurnal Sains Bisnis dan Teknologi
Decision Support System Applications
article

Pengembangan Aplikasi Sistem Pakar Preferensi ‘Bahasa Cinta’ Manusia Berbasis Web

Daniel Bimo Yudiantara
article en

Abstract

The purpose of this research is to produce a web-based expert system application to identify a person's love language using the nave Bayes classifier method. This expert system application to identify a person's love language is intended for people who have not realized how important it is to know which love language is relevant to them. This expert system application to identify a person's love language provides guidance in the form of questions about the type of love language. The answers to the questions asked will lead to the final decision on the results of the expert system diagnosis. Sources of expert system application knowledge base obtained from books and the internet. In making the application using the extreme programming software development method. Extreme programming consists of four stages, namely: planning, design, coding, and testing. The result of this research is the application of an expert system of love language identification that works on a web base.

KALBISIANA Jurnal Sains Bisnis dan TeknologiVol. 10(3)
Institut Teknologi dan Bisnis Kalbe (ID)
Openalex Percentile: Top 76%
Decision Support System Applications
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