EFFICIENCY OF TECHNOLOGICAL INNOVATION OF JAJAR LEGOWO SISTEM IN RICE FARMING IN LINGSAR DISTRICT, WEST LOMBOK REGENCY WEST NUSA TENGGARA
Halil Halil (a*), Nurtaji Wathoni (a), Tajidan Tajidan (a), Muhammad Nursan (a), Asri Hidayati (a)

(a) Study Program of Agribusiness Department of Agricultural Socioeconomics Faculty of Agriculture, University of Mataram
hkholil50[at]gmail.com

Abstract

This study aims to analyze inputs influence significantly rice production, production efficiency includes technical and allocative efficiency of technological innovation of Jajar-Legowo System on rice farming. The descriptive quantitative method with survey techniques was implemented. The cross-sectional data for 2022 were gathered from 60 interviewees were used. They were determined by quota and proportional random sampling. The Stochastic Frontier Production Function Approach with the Cobb Douglas production function was used for analysing data. The inputs influence rice production significantly were inputs of land area, seeds and chemical fertilizers. Meanhwhile, pesticides were not technically efficient even though they were in the rational stage of pruduction, while organic fertilizer and labor were inefficient and they were in the irrational stage. Allocative efficiency analysis of input use on rice farming system illustrates that the inputs of land, seeds, chemical fertilizers, and pesticides were not economically efficient with indicated by the value of the allocative efficiency them greater than one. It indicated that farmers have an opportunity to allocate more inputs to increase outputs for increasing return. The average area of arable land on rice farming system was less than one Hectare, an average production achievement of 69.19 tones/hectare and income of rice was IDR 18,076,941 per hectare. Farmers are advised to use good seed and chemical fertilizers per hectare. The additional use of these inputs can significantly increase rice production

Keywords: Technical and allocative efficency, Technological Innovation, Jajar Legowo, Stochastic Frountier

Topic: Agricultural Socio-Economics