Penentuan Jenis Tanaman Berdasarkan Kemiringan Lahan Pertanian Menggunakan Adopsi Linier Programming Berbasis Pengolahan Citra

The slope is a measure of the slope of the land relative to the flat plane which is generally expressed in percent or degree. Agricultural land that has a slope of more than 15 ° can be more easily damaged. In this study, a value of 2.5 ° was used in determining the normal slope. The process of implementing a decision support system used linear programming adoption in determining the slope angle of the land, rotation of the slope of the land and determining whether or not the normalization of the input image was necessary or not. The purpose of this research is to determine the time needed to determine the type of plant based on rotation or the angle of setting determined by the user. The results of the study are the greater the height and width of an object the longer the time needed to determine the type of plant, land price or slope of the land. The results of the study were obtained in five tests. Tests 1 and 2 images with height and image width ranged from 150-480 obtained time for normalization of 15-30, testing 3.4.5 images with height and image widths ranging from 322 and 788 requiring 54- 108. Keywords: Slope, Adopting Linear Programming, Decision Support Systems