Klasifikasi Tingkat Pigmentasi Smoker Melanosis Melalui Citra Gingiva Perokok

Dharma, I Gede Maha Prastya Budhi (2022) Klasifikasi Tingkat Pigmentasi Smoker Melanosis Melalui Citra Gingiva Perokok. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Merokok merupakan salah satu penyebab timbulnya berbagai penyakit di dalam tubuh. Merokok juga dapat menimbulkan kondisi abnormal yang bersifat patologik maupun fisiologik dalam di dalam rongga mulut salah satunya smoker melanosis. Gambaran klinis pigmentasi smoker melanosis yaitu adanya bercak berwarna coklat yang menyebar dengan diameter kurang dari 1 cm dan letaknya paling sering berada pada gingiva. Data diambil dengan menggunakan metode pengambilan citra oral photograph menggunakan kamera resolusi 12MP, dengan ketentuan jarak objek dari kamera 6 cm dan kondisi flash menyala. Dengan melakukan penganalisaan citra digital dari citra gingiva perokok, derajat pigmentasi gingiva dinilai berdasarkan klasifikasi GPI yang diajukan oleh Hedin yang membandingkan luas bidang dan dengan Derajat Warna Pigmentasi Oral Dummett yang membandingkan tingkat kepekatan warna dari pigmentasi smoker melanosis. Dalam penelitian ini dilakukan proses klasifikasi dengan algoritma KNN dengan menggunakan fitur hasil dari pengolahan citra digital yang berupa luas area segmentasi, nilai rata – rata tingkat warna merah, hijau dan biru. Proses klasifikasi menggunakan k-value terdekat bernilai 3 dan nilai p sebesar 2 yang digunakan untuk mengukur jarak ketetanggaan terdekat dengan rumus minkowski distance. Didapatkan hasil akurasi (1.0) dengan nilai F1 score setiap kelas DOPI 0 = 1.0, DOPI 1= 1.0, DOPI 2 = 1.0, DOPI 3= 1.0.
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Smoking is one of the causes of various diseases in the body. Smoking can also cause abnormal conditions that are pathological and physiological in the oral cavity, one of which is smoker melanosis. The clinical picture of pigmentation smoker melanosis is the presence of scattered brown spots with a diameter of less than 1 cm and is most often located on the gingiva. The data was taken by using the oral photograph image capture method using a 12MP resolution camera, provided that the object distance from the camera was 6 cm and the flash was on. By analyzing the digital image of the smoker's gingival image, the degree of gingival pigmentation was assessed based on the GPI classification proposed by Hedin which compared the area of the field and with Dummett's Oral Color Degree of Pigmentation which compared the level of color density of the melanosis smoker pigmentation. In this study, the classification process was carried out with the KNN algorithm using features resulting from digital image processing in the form of the segmentation area, the average value of the red, green and blue color levels. The classification process uses the nearest neighbor value of 3 and a p value of 2 which is used to measure the distance to the nearest neighbor using the minkowski distance formula. The results of the test data accuracy (1.0) with F1 scores for each class for test data DOPI 0 = 1.0, DOPI 1 = 1.0, DOPI 2 = 1.0, DOPI 3 = 1.0.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	KNN, Gingiva, Pigmentation, Image Processing, Smoker Melanosis. KNN, Gingiva, Pigmentasi, Pengolahan Citra, Smoker Melanosis.
Subjects:	R Medicine > R Medicine (General) > R857.M3 Biomedical materials. Biomedical materials--Testing.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	18 Jun 2026 07:12
Last Modified:	18 Jun 2026 07:12
URI:	http://repository.its.ac.id/id/eprint/133898

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