@thesis{thesis,
		author={VARIAN SAYOGA  MUHAMMAD},
		title ={PERBANDINGAN METODE SIMPLE MOVING AVERAGE, 
EXPONENTIAL SMOOTHING, DAN NAIVE METHOD UNTUK 
PREDIKSI HARGA RUMPUT LAUT DI KOTA TARAKAN 
BERBASIS ANDROID},
		year={2019},
		url={http://eprints.stta.ac.id/2119/},
		abstract={Seaweed is one of the main leading commodities in Tarakan City. The 
problem that is often encountered in the field is that flutative or unstable seaweed 
prices are caused by various factors such as the drying process, long marketing 
chain, and increasing demand from domestic companies. Forecasting (forecast) is 
an activity or business that knows events that will occur at the time that will use 
historical data. The prediction method used in this system is Simple Moving 
Average, Exponential Smoothing, and Naive Method. Measuring the error rate 
used for grass price predictions using Mean Absolute Deviation (MAD). Android?based seaweed price prediction application and betting on seaweed price data in 
2018-2019. Based on the evaluation obtained by the Simple Moving Average 
method, the original price difference with the lowest prediction price is Rp. 564,8. 
Based on the error value calculated using MAD with each experiment obtained the 
Naïve Method produces an error rate called 618,33 compared to the Simple Moving 
Average, and Exponential Smoothing method.}
		}