Article Per Year (5 Year)
p-Index From 2020 - 2025
1.686
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) iBuss Management Intra JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Business and Finance Journal Jurnal Performa : Jurnal Manajemen dan Start-up Bisnis Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Jurnal Pendidikan dan Sosial Humaniora JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Christina Christina
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Mathematics Public Health Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)

 1 
KAJIAN TENTANG SISTEM PENGENALAN SEL DARAH PUTIH DENGAN METODE FLVQ Christina Christina; Lina Lina; Arlends Chris
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i2.3120

Abstract

White blood cells recognition is developed to help the medical world in diagnosing deseases. In this paper, an artificial neural network algorithm, Fuzzy Learning Vector Quantization is used to recognize the white blood cells. A total of 198 images of white blood cell were used, and were divided into five classes, which are Basofil, Eosinofil, Limfosit, Monosit, and Neutrofil. Experiment was done in 11 types, which are Greyscale, Red, Green, Blue, Hue, Saturation, Value, RGB, HSV, RGB by Voting, and  HSV by Voting. Experiment was also done using different value of β and γ, the constant values to increase and decreasing the fuzziness of the reference vectors. In the first experiment the ratio of the training images and testing images were 3:2, and in the second experiment, the ratio were increased to 3:1.  Experiment using HSV by Voting has shown a better recognition rate among the others
Co-Authors Alexander Fabian Kodrati Arlends Chris Deni Faisal Mirza Erwent Wilidyo Indah Falina Arvi Indrajani Indrajani Irma Christin Marpaung Jennifer Meilisa Lina Lina Lisa Dona Br Sitompul Megaria Megaria Muhammad Fauzul Akbar Niko Liswandi Novriyanti Novriyanti Paulina Paulina Raden Bagus Wahyu Ricky Bagus Thrisnady Rosalina Rosalina Rusdianto Roestam Rusmala Uli Panjaitan Sriti Mayang Sari Teddy Saputra Theresia Andjani Theodora Veronika Ginting Winny Olivia