Open Conference Systems, The 3rd International Undergraduate Conference on Agriculture & Life Sciences

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Energy Requirement Projection for Agricultural Machinery in Paddy Cultivation using LEAP Software in Baturraden District, Banyumas Regency Central Java Province
Alfaen Haydar Salim, Ropiudin Ropiudin, Priswanto Priswanto, Kavadya Syska

Last modified: 2023-12-07

Abstract


The surge in population and agricultural advancements poses unprecedented challenges in fulfilling the energy demands for Agricultural Machinery. This research focuses on the Baturraden District, renowned as a pivotal paddy farming center in the Banyumas Regency. The primary objective is to project the energy needs for agricultural machinery in paddy cultivation, utilizing the Long-range Energy Alternatives Planning System (LEAP) software to forecast requirements under sustainable agricultural scenarios. The research aims to predict agricultural machinery energy requirements in Baturraden District's paddy cultivation for the next decade. Employing LEAP software, the research estimates energy demand, comparing scenarios of Business as Usual (BAU) and Government's energy conservation (GOV) in agricultural machinery energy needs. Combining field surveys with LEAP simulation modeling, the research identifies agricultural machinery operational data, encompassing types, capacities, and frequency of usage in Baturraden. The LEAP model then projects agricultural machinery energy needs, considering factors like land area, productivity, and crop types. The findings disclose a significant uptick in agricultural machinery energy demands for paddy cultivation in Baturraden. LEAP projections reveal an annual 2.1% reduction in fuel consumption for two-wheel tractors from 2023 to 2032. Projected fuel consumption stands at 51,823.8 liters/hectare/year, correlating with a 2.1% annual drop in agricultural land conversion rates in Baturraden. BAU scenario indicates higher fuel consumption, with the GOV scenario projecting 51,305.5 liters/hectare/year in 2032, 1% lower than BAU. This research offers key insights into agricultural machinery energy needs in Baturraden's paddy cultivation, providing a foundational framework for sustainable energy planning in agriculture. Dynamic factors influencing agricultural sector growth are integral considerations in this comprehensive analysis.