Abstract

The area of agricultural land in Merauke Regency according to data from Bappeda (Agency for Regional Development) of Merauke Regency is for about 4.6 million hectares in 2015 and within the next 5 years will be cultivated as much as 1.2 hectares, especially for rice field and secondary crops plants [1].This study has purpose to estimate the value of rice production by using dry-milled rice with a land suitability approach using decision tree analysis and remote sensing methods in Merauke Regency. Remote sensing that has been corrected geometrically and radio-metrically is analyzed by using decision tree analysis to derive information on paddy/rice and non-rice field land use and which is reclassified by using field unit information based on field observations which will result in accuracy of use and producer. The rice field data is then processed to derive information on the rotation pattern of rice by using a decision tree analysis that is using input data on land characteristics which will produce total accuracy. Information on rice field area and rotation patterns are complemented by land productivity (tons / ha) sourced from BPS (Central Statistics Agency) data and interviews with land cultivators and local residents (farmers) were used to calculate the total rice production value on dry-milled rice The results of calculations by using this method are expected to have a fairly large surplus of calculations, both data from BPS (Central Bureau of Statistics) and data from interviews with land cultivators and local residents (farmers). Thus, these results are expected to show that the land suitability approach by using remote sensing methods for estimating rice production can be used to produce information on rice field area and rotation patterns with moderate to high accuracy.

Highlights

  • INTRODUCTIONRice contributed an economic value of 262 trillion rupiah in 2011 as confirmed by the ministry of agriculture [3]

  • Rice is a food crop commodity that is important for food consumption for the majority of the population in Indonesia.Revised Manuscript Received on October 20, 2020. * Correspondence Author© The Authors

  • The calculation of rice production uses 3 components, they are such as harvested area, rotation pattern and land productivity

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Summary

INTRODUCTION

Rice contributed an economic value of 262 trillion rupiah in 2011 as confirmed by the ministry of agriculture [3] This number shows that rice plays an important role in supporting food security and economy in Indonesia. In Indonesia, the production estimates for agricultural commodity yields are often not as expected as in 2010 where the data showed that a rice surplus of 5 million tons but in the field area, there was not enough rice [5]. Regression statistical function are reliable techniques for solving short-term and long-term prediction problems, for example for cases such as prediction of crop yields, prediction of spread of infectious diseases [8], determine the regional prioritized areas [9], and prediction of tourist visits [10];[11] This vegetation index is used to measure biophysical aspects of plants such as bush canopy [12], chlorophyll content and wheat LAI [13], biomass, Photosynthesis. Soil samples taken in the field are tested in the laboratory to obtain soil physical and chemical properties

RESEARCH METHOD
DISCUSSION
The Calculation of Harvested Area
Determination of the Rotation Pattern of Rice Planting
METHOD USE RECOMMENDATIONS
CONCLUSSION
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