The study aimed to identify factors that influence household economic decisions of corn farmers related to the allocation of time, production activities, corn consumption and policy simulation which can increase household economic of corn farmer. Research was conducted at Tesbatan and Camplong II Village, West Timor, Indonesia. Data were analysed using a system of simultaneous equations. Parameter estimation used Two Stage Least Square (2SLS) and simulation analysis was used for getting alternative policy. The result showed that household economic decisions of corn farmer were affected by the level of wages and farming area. Corn production was influenced by the farming area, the use of labor, urea fertilizer and seeds. Consumption of corn was affected by the price of corn, household income, corn production and the number of household members. Then, Consumption of purchased corn was influenced by household income, corn production and the number of household members. The policy to increase the price of corn was very effective increasing household income but reduce the consumption of corn. Furthermore, the policy of expansion of the scale of farming could increase household income and consumption of corn.

The objective of this study is to point out the factors that influence household economic decisions in the use of labor, production, and consumption. This study was undertaken in Kupang regency, East Nusa Tenggara with 114 samples of agricultural household. A specification of household economic model used a simultaneous equations system. Parameter estimation uses two-stage least squares (2SLS) method. The results showed that the act of using labor in a household for rice farming was significant influenced by agricultural wage rate, rice product price, household income, farming area, and the number of household member. While the use of wage-labor was significant influenced by wage rate, farming area, and the use of household (domestic) labor. The use of urea and SP-36 was affected by ratio of rice price to fertilizer, and farming area. Rice production was influenced by farming area, total number of labor used, and amount of fertilizer used. Rice consumption from farming was positively significant influenced by an amount of rice production produced and the number of household member. Rice consumption from purchase was negatively influenced by the number of rice production but positively influenced by the number of household member.

The purpose of the study is to describe pattern of mix farming that is managed householdally as well as to analyze the level of Household food security based on the pattern of mix farming. Stratified cluster method is used to determine the setting of the study, while simple random sampling is used to decide 114 households being involved in the study. The findings of the study show that there are three types of mix farming pattern managed Householdally, namely (1) mix farming combining crops and plantation, (2) mix farming combining crops and livestock, and (3) mix farming combining crops, plantation and livestock. Household mix farming has low food security with the average level of energy consumption per capita per day of 2,107 kcal and protein consumption of 48.33 grams. The level of food security of the Household mix farming combining crops, plantation and livestock is higher than the ones combining crops and plantation as well as combining crops and livestocks. In the pattern of mix farming combining crops, plantation and livestock, there are 98.36% households that have achieved food security. On the other hand, in the pattern of mix farming combining crops and plantation, there are 87.50% household that achieved food security, while 62.07% of the households in the pattern of mix farming combining crops and livestock that have achieved food security.