Purpose of this research was to forecasting analysis using arima in indonesia's big trade price index group of agricultural commodities in 2000-2019. In this study aims to see the forecast prediction on the Agricultural Commodity Big Price Index in the next 1 years. In Indonesian economy, indicators for looking at economic development in general and as an ingredient in market and monetary analysis are by measuring the average intertemporal price changes of a package of goods in wholesale trade. In Indonesia in the period of 2000 until 2019, agricultural commodities in the index The Big Trade Price is the most dominant commodity among other commodities. This study uses method the Arima model with several stages of identifying, estimating, diagnosing and forecasting. the results of this study have shown that the arima model can forecast in the agricultural sector.
Malang, East Java Indonesia, is a tourist city with natural beauty and a large variety of food and beverage industries, including Coffee Shops. The purpose of this study was to evaluate the compliance of the internal control implementation of the SMEs (Small Medium Enterprises) food and beverage based on the COSO Framework. This research is qualitative research with a case study method that uses components of the COSO Framework as basis analysis of four coffee shops in Malang City. The results show that there are differences between theory and practice in the field. Generally, among five components of the COSO Framework, the Control Activities component has not been considered important in internal control. Hence, there are some cases of irregularities that create or negligence in each coffee shop. It can be concluded that SME still need control over their business to eliminate fraud; therefore, separation of duties is required.
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