IMPLEMENTASI FUZZY INFERENCE SYSTEM METODE TSUKAMOTO PADA PREDIKSI JUMLAH PENYEDIAAN STOK VOUCER INTERNET (STUDI KASUS LAWU DATA)
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Institusion
Universitas Muhammadiyah Ponorogo
Author
Pribadi, Dewa
Subject
TK Electrical engineering. Electronics Nuclear engineering
Datestamp
2023-09-15 04:16:22
Abstract :
Konter Data is an individual retail business as an internet package provider. In conditions that are all online like now the use of the internet is needed. Increased buyer needs need to be balanced with the provision of a large stock of vouchers. Due to the various types of vouchers, it is necessary to have a prediction system that can estimate the number of vouchers that need to be provided each month. This aims to reduce losses due to internet vouchers that are not sold immediately. From these problems, a web-based prediction application system was created using the Tsukamoto fuzzy method to carry out the prediction process. This prediction application system has an accuracy of the average MAPE value for each product of 0.1111790895 so that it can be said that the system is very accurate. With this accuracy, the prediction system can help Konter Lawu Data owners determine the number of vouchers that must be provided each month.
Konter Data is an individual retail business as an internet package provider. In conditions that are all online like now the use of the internet is needed. Increased buyer needs need to be balanced with the provision of a large stock of vouchers. Due to the various types of vouchers, it is necessary to have a prediction system that can estimate the number of vouchers that need to be provided each month. This aims to reduce losses due to internet vouchers that are not sold immediately. From these problems, a web-based prediction application system was created using the Tsukamoto fuzzy method to carry out the prediction process. This prediction application system has an accuracy of the average MAPE value for each product of 0.1111790895 so that it can be said that the system is very accurate. With this accuracy, the prediction system can help Konter Lawu Data owners determine the number of vouchers that must be provided each month.
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