R. Ridwana, A. Al Kautsar, F. Saleh, S. Himayah, R. Arrasyid, T.D. Pamungkas
Rice crops (Oryza sativa L) is a very important food crop in Indonesia. According to data from the FAO (Food and Agriculture Organization), in 2015 Indonesia was in third place after India and China as rice producing countries in the world with a total production of 75.6 million tons. The depletion of land due to land conversion (conversion) is one of the factors causing the downturn in the agricultural sector in Indonesia today. The narrowing of rice fields does not have an impact on decreasing rice production but also at the stage of Indonesian society whose livelihoods are farmers. Data and information on the development of rice plants are very important as a database for the formulation of sustainable food crop agricultural policies mandated in the Law of the Republic of Indonesia Number 41 of 2009. In addition, the covid-19 pandemic which is now sweeping the world, requires the government to adopt large-scale social rights policies. It also needs to be assessed whether it has an effect on agricultural production. The use of remote sensing technology is an effective and efficient alternative for spatial and temporal estimation and monitoring in obtaining information on land cover for rice plants. Through multispectral image classification using guided classification (supervised classification), with the maximum possible possibility (maximum likelihood), it is known that local food security in Tasikmalaya City during the COVID-19 pandemic is still guaranteed. This is with the current population of not less than 808,506 people, while the land cover area for rice crops consecutively from 2017 - 2020 are 454 ha; 606, 94 ha; 463, 23 ha; and 673.8 ha. So it can be denied that large-scale rebels have no effect on the productivity of agricultural land in Tasikamalaya City. © 2022 Institute of Physics Publishing. All rights reserved.
Department of Geography Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung, 40154, Indonesia; Study Program of Geography Information Science, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung, 40154, Indonesia; Department of Geography, Universitas Halu Oleo, Kampus Hijau Bumi Tridharma, Anduonohu, Kec. Kambu, Sulawesi Tenggara, Kota Kendari, 93232, Indonesia
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