PENERAPAN METODE FORECASTING ANALYSIS DALAM MERAMALKAN PENJUALAN JAMU SASAMBO CV. TRI UTAMI JAYA DI KOTA MATARAM

Dianita, Dennisa (2017) PENERAPAN METODE FORECASTING ANALYSIS DALAM MERAMALKAN PENJUALAN JAMU SASAMBO CV. TRI UTAMI JAYA DI KOTA MATARAM. S1 thesis, Universitas Mataram.

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Abstract

The purpose of this research is to know the expansion of the sales in last year (2016), analyze the factors that affect sales of Jamu Sasambo and forecast sales in 2017. This research uses descriptive method. Unit of analysis is Jamu Sasambo’s sales data. The research was conducted at CV. Tri Utami Jaya. Collecting data using interviews and examination of documents. This type of data is quantitative and qualitative data. Sources of data in this research is secondary data derived from historical data sales volume at CV. Tri Utami Jaya. In this research using three forecasting analysis methods; Single Moving Average, Single Exponential Smoothing, and Trend Projection. Three methods were tested and obtained the best method to forecast sales of Jamu Sasambo 2017. The best method is Trend Projection. The results showed that: (1). Jamu Sasambo sales in 2016 illustrates the fluctuating conditions of sale with the highest sales total in Desember 9.000 pieces and lowest sales 1.250 pieces in July. (2). The average sales in the rainy season is greater when compared with the average sales during the dry season and average sales in the month of fasting is smaller compared with the average sales when not fasting month. (3). The best method is Trend Projection with formula Y = 4.250 + 246X, it means the predicted monthly sales increased in sales 246 pieces of average sales 4.250 pieces. Sales forecast in January 2017 is 7.443 pieces and sales in December is 12.847 pieces with total sales in 2017 is 121.741 pieces.

Item Type: Thesis (S1)
Keywords (Kata Kunci): Sales of Jamu Sasambo 2016, Sales Forecasting Jamu Sasambo in 2017
Subjects: S Agriculture > S Agriculture (General)
Divisions: Fakultas Pertanian
Depositing User: Ayus Suyarsih
Date Deposited: 06 Sep 2017 08:57
Last Modified: 06 Sep 2017 08:57
URI: http://eprints.unram.ac.id/id/eprint/714

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