Firmansyah, Yoga Aditya (2021) Perbandingan Fuzzy Inference System Metode Tsukamoto dengan Metode Sugeno dalam Menentukan Jumlah Produksi Bakpia (Studi Kasus : Bakpia Pathok “Terbit” Kabupaten Gunungkidul). ["eprint_fieldopt_thesis_type_tugasakhir" not defined] thesis, University of Technology Yogyakarta.
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Abstract
ABSTRACT Production is a vital activity in an industry. So far, the prediction of Bakpia production at CV. Bakpia Pathok "Terbit" always relies on estimates from the operations manager only. With this, there are many deficiencies that result in losses for the company. Production prediction is carried out aimed at obtaining the number of bakpia that will be produced. The purpose of this study is to provide accurate production prediction results by comparing the two fuzzy methods in the case of bakpia production and determining which method is more effective for the production prediction process. Prediction is done by using two variables, namely supply and demand, and one production variable to compare the two methods, and using four fuzzy rules which are then used in each of the inferences. Determination of the prediction of bakpia production using the Tsukamoto Method and Sugeno Method. These two methods are used to determine the prediction results of bakpia production. The results of this prediction can be concluded that the results of the Sugeno method are more accurate because the error percentage is smaller with a percentage value of 10.8% while the Tsukamoto method has a percentage error with a value of 32.43%. Keywords : Prediction, Production, Fuzzy, Tsukamoto Method, Sugeno Method, Supply, Demand.
| Item Type: | Thesis (["eprint_fieldopt_thesis_type_tugasakhir" not defined]) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 26 Mar 2021 08:23 |
| Last Modified: | 26 Mar 2021 08:23 |
| URI: | http://eprints.uty.ac.id/id/eprint/7173 |
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