KSA Methods for Better Agricultural Statistics

Statistical data collection on food agriculture integrated with the ASF method is a new method that aims to improve data collection methods to be more objective and modern by involving the role of technology in it, so that data becomes more accurate and timely. Data collection using the ASF method was carried out throughout Indonesia with the coverage of rice and corn commodities.

The objective of the KSA survey is to calculate the estimated harvested area for rice and secondary crops (maize) commodities. The estimated harvest area with the productivity of these commodities will be the production figures for rice and maize commodities.

The implementation of KSA itself combines a map of the raw area of ​​rice fields obtained from remote sensing technology (satellite imagery) as a sampling frame and the use of Android devices for field observations. Data collection through KSA is done by using the segment area as a sample calculation. Segment observations are carried out on the last seven days of each month.

Still in the midst of the Covid-19 pandemic and in Rembang Regency itself, at this time it coincided with the arrival of the rainy season, it did not dampen the steps and enthusiasm of KSA officers to carry out data collection in the field. As scheduled, the officers returned to the field to observe and shoot the land in various phases of plant growth (rice and maize) at the location at the coordinate point.

Of course there was a feeling of relief and joy when the officers managed to reach point by point of observation. This is a small contribution from fellow field workers. It looks small. Hopefully this ASF approach technique is useful for food crop statistics, particularly in supporting the planning of a national food security program. (Jq)