This study aims to test the model adoption of farmer card innovation by farmers. Data were collected through the use of the survey technique. The respondents were obtained through cluster sampling from six districts that included the greatest numbers of farmer card users in central Java. Data analysis was done through the SEM technique. As a result, from the five variables included, reconstruction and merging of the independent variables were then carried out so that three important antecedent variables appeared regarding influencing the adoption of farmer cards, namely leadership, facility conditions, and the role of government mediated by perceptions of card technology. The application of farmer cards produced such a farmer database, accuracy improvement, and government service to farmers. Future research needs to be directed toward carrying out development research related to increasing the capacity of information technology regarding farmer cards; hence it will bring better welfare to farmers. No previous research has explained how small farmers adopt information technology provided by the government. Many events have transpired, but these dynamics have not been revealed in previous research. This research resulted in an adoption model that enriches the previous Rogers’ innovation adoption theory, especially how leadership factors play an important role in the adoption of information technology innovations

Different approaches in the introduction and socialization of farmer cards resulted in the adoption rate of farmers not following the planned target even though one of the objectives of the farmer card program was to improve farmer human resources. This study aims to analyze the perceived impact of the farmer's card on the level of adoption and improvement of farmer's human resources. Respondents selected based on cluster sampling came from the 6 districts that used the most farmer cards in Central Java. The data obtained through the survey were analyzed using Structural Equation Modeling. The five variables measured consisted of transformational leadership, the role of the government, facilitating conditions, perceived farmer cards, perceived farmer card adoption, and farmer human resources. The results showed that transformational leadership, the role of government, and facilitating conditions had a significant effect on perceived farmer cards. The perceived farmer card has a significant effect on the adoption of the farmer card. Adoption of farmer's card has a significant effect on farmer's human resources. The application of the farmer card results in a farmer database increased accuracy and government services to farmers. Future research needs to be directed at conducting development research related to increasing the capacity of farmer card information technology to make farmers more prosperous.