Employing Binary Logistic Regression in Modeling the Effectiveness of Agricultural Extension in Clove Farming: Facts and Findings from Sidrap Regency, Indonesia

Abstract

The research objective was to examine the factors influencing the effectiveness of agricultural extension in clove farming in Sidrap Regency. Primary data were collected using structured interviews with 140 selected clove farmers to achieve this objective. The binary logistic regression model was employed to test the influence of fourteen independent variables on the dependent variable. The research results indicated that the variables of family size, mass communication approach, electronic media, and clove cultivation material significantly and positively impacted the effectiveness of agricultural extension in clove farming. Meanwhile, the variables of educational attainment, farming experiences, farmers’ cosmopolitanism, print media, and land area had a negative significant effect, and the other variables had no significant effect. These findings are important indicators and valuable insights in promoting and encouraging the effectiveness of extension in clove farming. The findings emphasize the significant role of family characteristics, agricultural extension approaches, and communication delivery methods in the diffusion of agricultural technology and enhancing the effectiveness of agricultural extension. Based on the research results, policy recommendations are proposed to enhance extension effectiveness in clove farming, specifically, augmented farmer education on clove cultivation and the intensification and extensification of mass extension methods, as well as using electronic media in extension activities.

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