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PEMETAAN JALUR TRACKING AGROWISATA DI DESA PANCASARI KABUPATEN BULELENG

This study aims to: 1) To determine the condition of the agro-tourism tracking line in Pancasari Village, 2) To map the distribution of the Pancasari village agro-tourism tracking line. The method used is a qualitative descriptive method, namely to determine the condition of the agro-tourism tracking line and map its distribution using the coordinate point plotting method. so that the distribution and tracking path can be determined. The results obtained in this study are in the form of a map of the distribution of the agotourism tracking path and the condition of the agrotourism tracking path in Pancasari Village. based on the attractiveness component which includes attractions, facilities, and accessibility. The analysis of the results used in this study is in the formulation of the first problem, the researcher uses descriptive quantitative methods, which type of research is used to analyze the data by describing the data that has been collected. Techniques obtained from observations/interviews related to the distribution of tourism and agriculture along the agro-tourism tracking route. Meanwhile, for the second problem formulation, the researchers used qualitative methods, which were descriptive research. The process and meaning are highlighted in qualitative research so that the focus of research is in accordance with the facts in the field because it is related to the research objectives, namely to record, map and find out the tracking path of agro-tourism in Pancasari Village

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KOREKSI GEOMETRIK DATA DRONE DENGAN METODE AFFINE DAN METODE POLYNOMIAL ORDE 2 PADA PEMETAAN LAHAN SAWAH DI BANJAR TEGAL, DESA SANGSIT

The need for geospatial data as geographic information of an area needs an update because every year the development of an area is increasing. The use of UAV or drone technology can help speed up various jobs, one of which is obtaining geospatial data. The use of drones in mapping of course regarding the accuracy of most positions is still low. So it is necessary to make geometric corrections. Geometric correction is carried out with the aim of correcting distortions in the image to match the coordinates of the actual position on the earth's surface. The purpose of this study was to determine the optimal number of GCP in the drone geometric data correction process and to determine the orthorectification mechanism in the drone geometric data correction process.The method used in this research is using the orthorectification method by combining GCP (Ground Control Point) and drone data using ArcGIS software. The determination of the number of GCPs is based on the Affine transformation method with a total of 4 GCP points and an Order-2 Polynomial transformation method with a total of 8 GCP points. The results of this study are visualization of drone data that has been rectified with a total horizontal geometric accuracy of 0,160129635 m on the Affine method and 0,06590305225 m of the second-order polynomial method. So that these two transformation methods meet the requirements for horizontal geometric accuracy on a class 1 map on a 1:1000 scale with an accuracy value of 0.2 m.

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