Every individual has different manners for making choices, including choosing a need and desire. In the modern world of today has come a wide selection of products both local and international standards one of which is a food product. Namely food production in the country for food products imported from abroad, as well as processed food products such as cottage industries. Existing halal label on food products would have been very impact and influence for consumers, particularly Muslim consumers are encouraged to consume Thayyib food and halal. For this study will focus on the effect of consumer behavior and halal label food products by household to consumption decisions in Palangka Raya (Student Association of Islamic Economics at IAIN Palangka Raya) to determine the effect of consumer behavior and halal label food products by households to consumption decision analysis techniques Correlation Product Moment using SPSS 18.0. This research is quantitative descriptive research type ex post facto, and perform data analysis with multiple regression test. Data collection methods the authors used observations and questionnaires. From the test result perfomed on the instrument 20 respondents to the question number 40 items declared valid and can be used to collect the data in the study sample. The population in this study were all students of Islamic Economics at IAIN Palangka Raya in force from 2012 to 2015. While the study sample were 75 respondents students of Faculty of Islamic Economics and Business, Departement of Islamic Economics at IAIN Palangka Raya, and from the number of respondents were given a questionnaire to be answered. Data analysis technique used is Multiple Regression. The result of this study indicate that obtained from the F test (simultaneous) amounted tp 7.132, then in accordance with the F test criteria then Ho is rejected. This means that there are significant effect between consumer behavior and halal label together or simultaneously on consumption decisions, the results obtained from the value of R Square of 0.165 which means that the consumer behavior variables (X1) and label halal food products household (X2) 16,5% have influence on consumer decision variable (Y). while the remaining 83,5% is influenced by other factors.

To assess the success of development in agriculture can be done by looking at the level of welfare of farmers, which can be measured from the Farmer Exchange Rate (NTP). NTP is the ratio between the price index value received by farmers and the price index value paid by farmers. NTP is suspected to have a relationship with various factors, where to determine the influence of these factors can be done through modeling both as response variables and predictor variables. NTP values in several sectors can be observed from an object of research in a certain period of time. Therefore, panel data regression can be used in modeling the relationship between NTP and the factors that influence it. The purpose of this research is to analyze the factors that are thought to influence the Food Crop Farmer Exchange Rate (NTTP) by using panel data regression. The factors referred to are land area, harvested area, production, productivity, GRDP of the agricultural sector, inflation, and the consumer price index.. The data used comes from the five largest rice-producing provinces in Indonesia according to data from the Ministry of Agriculture in 2020. This research data is sourced from the website of the Badan Pusat Statistik (BPS) and the Indonesian Ministry of Agriculture for the 2008-2017 time period. The independent variabels in the study were land area, harvested area, production, productivity, agricultural sector GDP, inflation, and the consumer price index, while the dependent variabel was NTTP. The results of the regression analysis, it can be concluded that the Common Effect Model is the best model of the NTTP panel regression in 5 provinces of Indonesia with an R-Squared value of 53.25% and an error value of 7.55% accuracy of the estimation results using MAPE. This shows that the factors that are thought to affect NTTP such as Productivity, Inflation, and CPI have a significant influence, while the variabels of Land Area, Harvest Area, Production, GRDP of the Agricultural Sector are not significant in the regression model and the rest is influenced by other factors. outside of this research. The value of the MAPE accuracy error rate shows a percentage below 10% which means the forecast value is very accurate.

Regression analysis is a statistical technique used to explain the relationship between an independent variable (independent) as a predictor variable (X) and the dependent variable as a response variable (Y) which can be expressed as a form of mathematical model. In linear regression analysis there are two models, namely a simple linear regression model where the independent variable is only one and a multiple linear regression model where the independent variable is more than one. This study aims to infer the parameters of the linear regression model both estimation and hypothesis testing and to apply the inference results to the export and import case of South Kalimantan province in 2020. This research method uses a literature study by collecting all materials and data, be it books, journals, web.site or other references that support and are relevant to the material to be discussed and researched. From the results of research on exports and imports of South Kalimantan province in 2022, inference results are obtained in the form of explicit forms for each parameter for point and interval estimates from linear regression models. Furthermore, an inference is obtained about hypothesis testing for each parameter, the results of which show that both significant parameters are included in the linear regression model

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