PENERAPAN ALGORITMA NAÏVE BAYES UNTUK MENGETAHUI KUALITAS PRODUKSI HELMET HONDA PADA PT TERANG PARTS INDONESIA
Abstract
The vehicle used, and the condition of the road and the environment around the road Safety driving is one of the efforts made to reduce the high number of traffic accidents, driving safety can be created based on safety riding behavior applied by drivers. Industrial companies that use materials, in their production process, companies are always required to produce a product that is of high quality and in accordance with customer wishes, and pays attention to service quality and ability to fulfill market demand. PT Terang Parts Indonesia is a company engaged in the Manufacturing Industry, this company produces various kinds of accessories and spare parts for two-wheeled and four-wheeled vehicles, which are distributed to several well-known automotive companies including Honda, Toyota and Daihatsu. The materials used in the production process at PT Terang Parts Indonesia, especially for Helmet products, motorbike and car number plate mats, stainless steel, and several other products consist of several materials and child parts which are supplied from several different vendors, in the production process. , defects often occur in making products such as what happened in the production of Honda Helmets. One approach to explaining solutions to problems that occur is to model or formulate these into data mining language, so that it is hoped that they can be used to help find solutions related to these problems. Naïve Bayes is a method of classifying data based on probabilities that could occur in the future. This method is considered simple and effective to apply in company analysis. The aim of this method is to classify probabilities based on machine learning over other probabilities. This technique can be used to evaluate many things.
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