Kartika Fithriasari
Kartika Fithriasari
Department of Statistics, Institut Teknologi Sepuluh Nopember
Verified email at statistika.its.ac.id
Title
Cited by
Cited by
Year
Klasifikasi Berita Indonesia Menggunakan Metode Naive Bayesian Classification dan Support Vector Machine dengan Confix Stripping Stemmer
D Ariadi, K Fithriasari
Jurnal Sains dan Seni ITS 4 (2), 2016
452016
Klasifikasi berita online menggunakan metode support vector machine dan k-nearest neighbor
SN Asiyah
Institut Teknologi Sepuluh Nopember, 2016
422016
UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation
AA Pravitasari, N Iriawan, M Almuhayar, T Azmi, K Fithriasari, ...
Telkomnika 18 (3), 1310-1318, 2020
202020
Prediction of hourly rainfall using Bayesian neural network with adjusting procedure
K Fithriasari, N Iriawan, BSS Ulama, H Kuswanto
The third basic science international conference, 2013
112013
On The Multivariate Time Series Rainfall Modeling Using TDNN
K Fithriasari, N Iriawan, BSS Ulama
International Journal of Applied Mathematics and Statistics 44 (14), 193-201, 2013
11*2013
Implementasi Text Mining pada Analisis Sentimen Pengguna Twitter Terhadap Media Mainstream Menggunakan Naive Bayes Classifier dan Support Vector Machine
T Kurniawan
Institut Teknologi Sepuluh Nopember, 2017
102017
Comparative study of brain tumor segmentation using different segmentation techniques in handling noise
N Iriawan, AA Pravitasari, K Fithriasari, SW Purnami, W Ferriastuti
2018 International Conference on Computer Engineering, Network and …, 2018
82018
Drought risk mapping in East Nusa Tenggara Indonesia based on return periods
H Kuswanto, K Fithriasari, R Inas
Asian J. Sci. Res 11 (4), 489-497, 2018
82018
Clustering stationary and non-stationary time series based on autocorrelation distance of hierarchical and k-means algorithms
MAA Riyadi, DS Pratiwi, AR Irawan, K Fithriasari
International Journal of Advances in Intelligent Informatics 3 (3), 154-160, 2017
82017
Data Mining Peramalan Konsumsi Listrik dengan Pendekatan Cluster Time Series sebagai Preprocessing
MAA Riyadi, K Fithriasari, DA Widodo
Jurnal Sains dan Seni ITS 5 (1), D121-D126, 2016
82016
ANALISIS DAMPAK COVID-19 BAGI UMKM DI JAWA TIMUR
A Aminy, K Fithriasari
Seminar Nasional Official Statistics 2020 (1), 15-22, 2020
72020
Topic modeling twitter data using latent dirichlet allocation and latent semantic analysis
S Qomariyah, N Iriawan, K Fithriasari
AIP conference proceedings 2194 (1), 020093, 2019
72019
Bayesian Bernoulli mixture regression model for Bidikmisi scholarship classification
NUR Iriawan, K Fithriasari, BSS Ulama, W Suryaningtyas, I Susanto, ...
Jurnal Ilmu Komputer dan Informasi 11 (2), 67-76, 2018
72018
Pengelompokan Kabupaten/Kota di Jawa Timur Berdasarkan Indikator Kesehatan Masyarakat Menggunakan Metode Kohonen SOM dan K-Means
MM Putri
Institut Technology Sepuluh Nopember, 2015
72015
On the Bernoulli mixture model for bidikmisi scholarship classification with Bayesian MCMC
W Suryaningtyas, N Iriawan, K Fithriasari, BSS Ulama, I Susanto, ...
Journal of Physics: Conference Series 1090 (1), 012072, 2018
62018
Pendekatan Modified Particle Swarm Optimization dan Artificial Bee Colony pada Fuzzy Geographically Weighted Clustering (Studi Kasus pada Faktor Stunting Balita di Provinsi …
BS Hadi
Institut Teknologi Sepuluh Nopember, 2017
62017
Klasifikasi Kesejahteraan Rumah Tangga di Provinsi Papua dengan Metode Regresi Logistik dan Support Vector Machine
RP Sahitayakti, K Fithriasari
Jurnal Sains dan Seni ITS 4 (2), 2016
62016
On the Markov chain Monte Carlo convergence diagnostic of Bayesian finite mixture model for income distribution
I Susanto, N Iriawan, H Kuswanto, K Fithriasari, BSS Ulama, ...
Journal of Physics: Conference Series 1090 (1), 012014, 2018
52018
Komparasi Metode EM-GMM (Expectation Maximization-Gaussian Mixture Model) dan FCM (Fuzzy C-Means) dalam Segmentasi Citra Otak MRI (Magnetic Resonance Imaging) di RSUD Soetomo …
WHG Sianipar
Intitut Teknologi Sepuluh Nopember, 2017
52017
Analisis Pengaruh Pertumbuhan Ekonomi terhadap Dimensi Pembangunan Manusia dengan Menggunakan Response Based Unit Segmentation In Partial Least Square (REBUS PLS)
HA REAGAN
Institut Teknologi Sepuluh Nopember, 2016
52016
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