Performance analysis from native chicken farming with smart farm prototypes using data envelopment analysis
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Abstract
This research aims to design and prototype a smart farm for native chicken farming. It also explores the efficiency of native chicken farming by comparing traditional farms and prototypes of smart farms. The research process starts with inquiring with farmers about the demand for farming and transforming the demand data into quality houses to design and prototype smart farms. It was found that the prototype of the smart farm consists of five systems: a food system, a water system, a lighting system, a ventilation system, and a farm control system. The inputs include breeding costs, food costs, vaccines and medicines, floor-laying materials costs, water, electricity, labor costs, farm maintenance costs, and equipment costs. The output includes revenue from chicken sales, and it was found that the efficiency of native chicken farming with smart farm prototypes is 11.0 percent higher than traditional farms if farmers spend cash creating smart farms. The payback period was discovered to be 11 months. However, farmers can choose to use any system in the smart farm prototypes to be applied to chicken farming as appropriate to the conditions of that particular farm to facilitate chicken farming for farmers further.
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