  Osteoarthritis is a disease found in the world, including in Indonesia. The
purpose of this study was to detect the disease Osteoarthritis using Self
Organizing mapping (SOM), and to know the procedure of artificial intelligence
on the methods of Self Organizing Mapping (SOM). In this system, there are
several stages to preserve to detect disease Osteoarthritis using Self
Organizing maps is the result of photographic images rontgen Ossa Manus normal
and sick with the resolution (150 x 200 pixels) do the repair phase contrast,
the Gray scale, thresholding process, Histogram of process , and do the last
process, where the process of doing training (Training) and testing on images
that have kept the shape data (.text). the conclusion is the result of testing
by using a data image, where 42 of data have 12 Normal image data and image
data 30 sick. On the results of the process of training data there are 8 X-ray
image revealed normal right and 19 data x-ray image of pain expressed is
correct. Then the accuracy on the process of training was 96.42%, and in the
process of testing normal true image 4 obtained revealed Normal, 9 data pain
stated true pain and 1 data imagery hurts stated incorrectly, then the accuracy
gained from the results of testing are 92,8%.
