Purpose of this study is to determine the Application of Products, Prices, Places, Promotions in Increasing Papua Noken Sales. Method: A qualitative / descriptive or narrative approach in this study. Primary data is direct data from the noken seller. Secondary data, namely indirect data from informants from brochures, magazines, and others. Data collection techniques: Observation, namely observing the object / place of research. Interviewing is conducting a series of questions and answers to informants who know best about the object of research. Questionnaire: contains structured questions to informants. The informants in this study were 5 Yanti Noken and Syria Noken. Result 1). Application of Product, Price, Place, Promotion for noken sales in increasing revenue, models that must be applied: Application of Product Strategy Models, Application of Price Strategy Models, Application of Place Strategy Models, Application of Promotion Strategy Models. The four models must be worked on together because these models are interrelated. In this model, promotion in the midst of the Covid 19 pandemic is the most effective. Promotion that must be done by salespeople, especially through the online social media (Facebook). The seller must be responsible for delivering the order to the customer's place. 2). The implementation of this Promotion Strategy Model must be carried out, in order to increase income, particularly the Merauke buying and selling forum. The price must be affordable according to the pockets of the community, and still listen to government advice to stay at home and keep the distance.
The study aims to identify and analyze the Compensation Effect on Performance of Government Apparatus Village Onggari Malind District district. Merauke. The research method in this study is a case study approach, this type of research is descriptive quantitative, and the nature of the research is the explanation (explanatory). Method of data collection through interviews and questionnaires. Analysis of the data used is a simple linear regression. The population of the village is Onggari Apparatus Malind District Merauke district, amounting to 30 respondents. Determination of the number of samples in this study uses total sampling so that the number of samples taken as many as 30 people. The results of the data analysis was conducted on all data obtained, it can be concluded that the compensation effect on performance. This is evidenced by the value of t is greater than t table value is 4.588> 1.943 with a significant level of 0.01 <0.05. showed that 42.9% Compensation variables affect the performance. while as many as 57.1% is explained by other variables not examined in this study.
The problem to be studied is how the sales forecasting method is applied in the company and what variables influence sales forecasting. with the aim, for the company can apply optimal sales forecasting method for the survival of the company and know the variables that affect sales forecasting. In this study the data obtained then tested by the following methods: (1) Linear Trend Analysis Method, General equation form (Sofyan Assauri, 1984, pp. 53-56): Y = a + bt, (2) Method of Exponental Trends (a) Constant, with forecasting function: (b) Linear, with the logarithmic method, Y = a + b log t The function of this method is: forecasting function: Y_t = a + bt and (4) Decomposition Method. Result of research The best forecasting method to predict the sales of bottled drinking water in CV Tirta Alam Jaya Merauke in the next period, is the method of Exponental Trend. This method is chosen because it has the lowest error rate value when compared with other forecasting method, that is for forecasting sales Bottled drinking water obtained MAD value of 932.65, MSE of 20,581,918.63 and MAPE of 34.94%. Sales forecasting results Bottled drinking water using Exponental trend method calculation is 14,104 Carton in January 2016
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