Detail Inovasi Perguruan Tinggi

Tema: Seminar Nasional Teknologi Informasi (SNTI) 2016
Judul: Penentuan Kualitas Ikan Nila Menggunakan Teknik GLCM (Gray-Level Co-Occurrence Matrix) Dengan Metode Algoritma Naïve Bayes Dan SVM (Support Vector Machine)
Perguruan Tinggi: Universitas Widyatama
Jenis/sdm: dosen/0415078402

Tahun: 2016

Tilapia is a freshwater fish that contains omega 6 is very high and is one of our largest export producer of tilapia is an area of Sumatra and Java easier for cultivated fish, and many European and American consumption country. To determine the quality of the fish is particularly important as the economic value, one method of determining the quality of tilapia could from the images of the fish were processed with techniques GLCM (Gray-Level Co-Occurrence Matrix), the sample data used was taken from the three types of image tilapia ie red tilapia, blue tilapia, and Gift tilapia, each of the 10 samples taken of the total 30 tilapia image data are then analyzed using a Naive Bayes algorithm values, obtained classification accuracy of 80% in the reading process quality types of tilapia, while using the SVM function to classify types of tilapia with 96% accuracy.