THE PROVISION PREDICTION AT BANDENG PRESTIGE COMPANY USING NAIVE BAYES ALGORITHM

WIDJAJA, MANUEL RENO (2019) THE PROVISION PREDICTION AT BANDENG PRESTIGE COMPANY USING NAIVE BAYES ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Bandeng duri lunak are a typical food from Semarang. There are also many types of processed Bandeng duri lunak such as bandeng pindang, otak-otak bandeng, dan pepes bandeng. Providing processed bandeng duri lunak is difficult for many companies. This happens because of the uncertain sales order each day making the company hesitate in providing processed bandeng duri lunak products. With this erratic sale can make company loss due to the nature of the bandeng duri lunak that is not durable. To solve this problem, this project makes a program that can predict what processed bandeng duri lunak should be provided. The method to be used in this project is Naive Bayes algorithm. This algorithm can calculate based on the existing data. Then, the algorithm produces output in the form of effective or less effective in each type of processed bandeng duri lunak. This project also provides recommendation results from data training using the existing data. The result from this program is the more parameters used for calculation and the more data used for training the algorithm that produce more accurate predictive data. With this project data and testing on 2017 data, the accucary result is 60%. Keyword: bandeng duri lunak, Naive Bayes, providing, forecasting, prediction, provision, milkfish

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 22 Nov 2019 01:14
Last Modified: 22 Nov 2019 01:14
URI: http://repository.unika.ac.id/id/eprint/20041

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