Open AccessFUZZY TIME SERIES MODEL CHENG UNTUK MERAMALKAN VOLUME HASIL PANEN PADA TANAMAN GARUT
Author(s) -
Rifki Indra Perwira,
Danang Yudhiantoro,
Endah Wahyurini
Publication year - 2020
Publication title -
telematika
Language(s) - English
Resource type - Journals
eISSN - 2460-9021
pISSN - 1829-667X
DOI - 10.31315/telematika.v17i1.3400
Subject(s) - sowing , volume (thermodynamics) , mathematics , horticulture , harvest time , air temperature , crop , fuzzy logic , agronomy , biology , computer science , geography , physics , meteorology , artificial intelligence , quantum mechanics
Arrowroot is an alternative food substitute that can be used as processed flour or starch. This arrowroot can also produce several processed products such as arrowroot chips. The number of arrowroot requests from various regions causes the need for accurate calculations related to the volume of harvest from the arrowroot. Fuzzy logic is a method that can be used to predict arrowroot yields every period to meet 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, fertilizing, planting media). The results of this study are in the form of an application to predict the volume of arrowroot crop yields based on these parameters. From the results of MAPE, get a percentage of 11.7% which indicates that the level of accuracy using the fuzzy cheng time series model is said to be useful for forecasting on arrowroot plants.