FUZZY TIME SERIES TO PREDICT THE VOLUME OF YIELD OF ARROWROOT

Perwira, Rifki Indra and Yudhiantoro, Danang and Wahyurini, Endah (2020) FUZZY TIME SERIES TO PREDICT THE VOLUME OF YIELD OF ARROWROOT. Urban Development and Lifestyle. ISSN 978-1-53618-560-7

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Abstract

Arrowroot is a superior plant in Kadireso village, Pajangan sub-district, Bantul, Yogyakarta. Arrowroot can produce several processed products, such as arrowroot flour and arrowroot chips. The high demand for arrowroot from various regions causes the need for accurate calculations related to the volume of the yield of arrowroot. Cheng's Fuzzy time series is a method that can be used to predict the volume of arrowroot yields in each period to meet the market demand.
The parameters used in this system are based on environmental data (temperature humidity, climate, altitude), genetic data (age and variety), and cultivation technique data (seed quality, fertilization, planting media). This research aims to predict the volume of the yields of arrowroot.
The result of this study is in the form of application to predict the volume of arrowroot yields based on the aforesaid parameters. From the results of MAPE, the percentage of I I. 7% indicates that the level of accuracy using Cheng's Fuzzy time series is useful in predicting the yields of arrowroot.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Medicine, Health and Life Sciences > School of Biological Sciences
Depositing User:	SP. M.Si ENDAH WAHYURINI
Date Deposited:	10 Apr 2023 01:33
Last Modified:	10 Apr 2023 03:13
URI:	http://eprints.upnyk.ac.id/id/eprint/34292

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