1Department of Information System, STMIK Nusa Mandiri, Jl. Raya Jatiwaringin No 2, Cipinang Melayu, Makasar, Jakarta Timur 13620, Indonesia
2Department of Computer Science, STMIK Nusa Mandiri, Jl. Raya Jatiwaringin No 2, Cipinang Melayu, Makasar, Jakarta Timur 13620, Indonesia
BibTex Citation Data :
@article{JTSISKOM13943, author = {Sri Hadianti and Dwiza Riana}, title = {Segmentasi dan pengorakan citra mikroskopik Pap smear menggunakan algoritme K-means dan J48}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {9}, number = {2}, year = {2021}, keywords = {k-means; GLCM; J48; pap smear; segmentation}, abstract = {A Pap smear is used to early detection cervical cancer. This study proposes the segmentation and analysis method of Pap smear cells images using the K-means algorithm so that cytoplasmic cells, nuclear cells, and inflammatory cells can be segmented automatically. The results of the feature analysis from the cytoplasmic, nuclear, and inflammatory cell images were classified using the J48 algorithm with 37 training data. The training resulted in an accuracy of 94.594 %, precision of 95 %, and sensitivity of 94.6 %. The classification of 24 testing images resulted in an accuracy of 91.6%, a precision of 92.5 %, and a sensitivity of 91.7 %.}, issn = {2338-0403}, pages = {113--119} doi = {10.14710/jtsiskom.2021.13943}, url = {https://jtsiskom.undip.ac.id/article/view/13943} }
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