@misc{eprints16218,
           month = {Desember},
           title = {PERBANDINGAN PERHITUNGAN KEKASARAN PERMUKAAN KULIT
TANGAN DENGAN METODE ANALISIS STATISTIK DAN
DIMENSI FRAKTAL},
          author = {1117041032 PUTRI YULIA DZATI IFFAH},
         address = {Universitas Lampung},
       publisher = {Fakultas Matematika dan Ilmu Pengetahuan Alam},
            year = {2015},
             url = {http://digilib.unila.ac.id/16218/},
        abstract = {Telah direalisasikan sistem perbandingan perhitungan kekasaran permukaan
kulit tangan dengan metode analisis statistik dan dimensi fraktal. Perhitungan
dilakukan berdasarkan line profile citra permukaan kulit tangan yang diolah
menggunakan software Matlab 7.8. Perhitungan analisis statistik berupa Mean
Absolute Value (MAV) Variance (VAR) dan Standard Deviation (STD) yang
dibandingkan dengan nilai dimensi fraktal berupa metode Higuchi, Katz dan
Box Counting. Nilai statistik yang kecil, akan diperoleh nilai dimensi fraktal
yang kecil dan menunjukkan kualitas kulit yang baik. Klasifikasi kulit dibagi
atas 3 katagori yaitu kasar, sedang dan halus. Berdasarkan 10 Sampel uji, 9
diantaranya kualitas sedang dan 1 sampel kualitas halus.
Kata kunci: Line Profile, Higuchi, Katz dan Box Counting



ABSTRAK BAHASA INGGRIS

It has been realized system comparison calculations surface roughness of skin
hand with statistical analysis method and fractal dimension. The calculation is
performed based on the line profile of image hand skin surface was processed
using sofware Matlab 7.8. Calculation of statistical analysis such as Mean
Absolute Value (MAV), Variance (VAR) and Standard Deviation (STD) that was
compared with the value of fractal dimension are method of Higuchi, Katz and
Box Counting. The statistical value of a small, fractal dimension value will be
small and shows good skin quality. Skin classification is divided into 3 categories
namely rough, medium and smooth. Based on 10 test samples, 9 of them medium
quality and 1 sample smooth quality.
Keywords: Line Profile, Higuchi, Katz and Box Counting.}
}