No abstract

Market  retribution market is one of sources of local revenue in Hulu Sungai Utara. The purpose of this study is to measure the potential revenue, market in Hulu Sungai Utara, which results will be used as a basic reference potential measure the effectiveness of revenue, market, in order to assess the results of the performance of market fee collection. This type of research is research diskiptif, while the data analysis method in use is the qualitative method, ie with a portrait, explain, and interpret the date obtained and analyzed to obtain conclusions.Contribution revenue, market on revenue is relatively small with only contributes a percentage rate 5%, from the year 2009 until the year 2012 revenue, always increasing but retribution market acceptance of is not comparable to the total revenues of local revenue Hulu Sungai Utara. Development of retribution market has increased every year, but in 2012 the increase in 2011 the difference is slight. Revenue, market the Department of Revenue in Hulu Sungai Utara against the target revenue, the market has not reached that yet effective, this is due to the realization of revenue, the market does not meet the expected targets, while potential market acceptance levy of 11 kinds of receipts in Hulu Sungai Utara Rp 1.947.378.000. The number is the whole of the potential is there, but can be developed by adding new facilities.

No abstract

The market of Fast-Moving Consumer Goods (FMCG) companies in Indonesia is enormous. Unilever has 400 brands in more than 190 countries, making it a global business that is as influential in the consumer product market as it is in Indonesia. Sales forecasting at this company is very useful for planning expenses and the company's total costs on the business strategy. This study uses trend moment method to forecast the sales and earnings of Unilever Indonesia companies at the end of the year. This article aims to test the performance of the trend moment method calculation on the prediction of net sales and profits in FMCG companies. At the end of the analysis process, it can be concluded that forecasting using trend moment method is going very well. This indicator of success is shown by the error level of MAPE, which is below 10%.