Perpustakaan
DESKRIPSI DATA LENGKAP
JudulPREDIKSI KEHADIRAN TANGKASI DAN PEMODELAN SPASIAL HABITAT DI DESA KAMARORA KECAMATAN NOKILALAKI KABUPATEN SIGI PROVINSI SULAWESI TENGAH
Nama: MUHAMAD FAJRAN PAKAYA
Tahun: 2025
Abstrak
Abstrack This research was conducted for three months, from February 2024 to April 2024, in Kamarora Village, Nokilalaki District, Sigi Regency, Central Sulawesi Province. This study used the Species Distribution Model (SDM) method. This is one method that can predict the geographical distribution of species by only using species presence data and environmental variables that are thought to affect the presence of a species. The results of this study indicate that the Tangkasi presence probability model in Kamarora Village produced is very good. According to Araújo and Guisan (2006), model performance is indicated by the high AUC value, where a value of 0.6-0.7 is considered low, 0.7-0.8 the model is considered moderate, 0.8-0.9 the model is considered good and more than 0.9 indicates a high level of accuracy in measuring presence and absence. The AUC value for the Tangkasi presence probability model in TNLL in this study shows a high level of performance (AUC = 0.937) with a standard deviation of 0.007. The red line shows the average AUC value with the blue line showing the average standard deviation value. The closer the red line is to the left (approaching a value of 1) and the smaller the standard deviation value, the better the model performance. Keywords : Prediction, Models, Tangkasi, Spacial

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