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Department: D. Statistika
Faculty: Fakultas Matematika, Komputasi, dan Sains Data
Labs: - no laboratories available -
Affiliations
D. Arsitektur
D. Statistika
D. Matematika
D. Teknik Mesin
D. Statistika Bisnis
EXPERT MAP
Publications
CONFERENCES
Scopus
14
13
JOURNALS
16
BOOKS
0
RESEARCHS
11
PATENTS
SOCIAL RESPONSIBILITIES
1.
2019 : On the Markov Chain Monte Carlo Convergence Diagnostic of Bayesian Bernoulli Mixture Regression Model for Bidikmisi Scholarship Classification
2.
2018 : On the Bernoulli Mixture Model for Bidikmisi Scholarship Classification with Bayesian MCMC
3.
2018 : On the modeling of the average value of high school national examination in West Java using Bayesian hierarchical mixture normal approach
4.
2018 : On the Markov Chain Monte Carlo Convergence Diagnostic of Bayesian Finite Mixture Model for Income Distribution
5.
2018 : Transportation choice modeling on commuters in Jabodetabek using Bayesian network and polytomous logistic regression
6.
2017 : Bayesian Hierarchical Random Intercept Model Based on Three Parameter Gamma Distribution
7.
2017 : Bayesian mixture modeling for blood sugar levels of diabetes mellitus patients (case study in RSUD Saiful Anwar Malang Indonesia)
8.
2017 : On the Value at Risk Using Bayesian Mixture Laplace Autoregressive Approach for Modelling the Islamic Stock Risk Investment
9.
2017 : Development of reversible jump Markov Chain Monte Carlo algorithm in the Bayesian mixture modeling for microarray data in Indonesia
10.
2017 : An economic growth model based on financial credits distribution to the government economy priority sectors of each regency in Indonesia using hierarchical Bayesian method
11.
2017 : Pattern analysis of community health center location in Surabaya using spatial Poisson point process
12.
2016 : Parameter estimation of general regression neural network using Bayesian approach
13.
2012 : Model criticism for log-normal hierarchical Bayesian models on household expenditure in Indonesia
14.
2012 : Hybrid state-space model and adjusting procedure based on Bayesian approaches for spatio-temporal rainfall disaggregation
2019 : MSEPBurr Distribution: Properties and Parameter Estimation
2017 : Bayesian seemingly unrelated regression modeling of gross regional domestic product using direct Monte Carlo
2017 : Bayesian mixture model averaging for identifying the different gene expressions of chickpea (Cicer arietinum) plant tissue
2016 : Blood sugar levels of diabetes mellitus patients modeling with Bayesian mixture model averaging
2016 : On the modeling of tourists visit to tourist attraction in Surabaya using neural network
2016 : On the identification of the structural pattern of terms occurrence in a document using Bayesian Network
2015 : An algorithm for determining the number of mixture components on the bayesian mixture model averaging for microarray data
2015 : Identifying text document pattern for two terms appearances via latent semantic analysis (LSA) method and term distance between two documents
2014 : Kolmogorov-smirnov and continuous ranked probability score validation on the Bayesian model averaging for microarray data
2013 : Bayesian state space modeling for spatio-temporal rainfall disaggregation
2013 : On the multivariate time series rainfall modeling using time delay neural network
2013 : New look for DHF relative risk analysis using bayesian poisson-lognormal 2-level spatio-temporal
15.
2012 : Restructuring and expanding technology acceptance model structural equation model and bayesian approach
16.
2012 : Toward a Hierarchical Bayesian Framework for Modelling the Effect of Regional Diversity on Household Expenditure
2018 : Nur Iriawan, Pengembangan Model Detektor Ketepatan Penentuan ROI pada Citra MRI Tumor Otak dengan Pendekatan Bayesian Skew Normal Mixture Model
2018 : Nur Iriawan, Pengembangan Komputasi Statistika dalam Pemodelan Mixture Hirarki Bayesian Conditional Autoregressive Spasial (Kasus Demam Berdarah Dengue)
2018 : ALGORITMA BOOSTING UNTUK MENANGANI PEMODELANKLASIFIKASI IMBALANCED DATA PADA EVALUASI BEASISWA BIDIK MISI
2018 : Nur Iriawan, Kajian Pemetaan Profesor di ITS : Kondisi Saat ini dan Potensni untuk Program Percepatannya Dalam Rangka Mendukung ITS PTNBH
2018 : Nur Iriawan, Pemodelan dan Pemetaan Big-Data Program Bidikmisi Sebagai Early Warning System dalam Rangka Mempersiapkan SDM di Era MEA dengan Pendekatan Hierarchical Bayesian
2017 : Pemodelan Hirarki Bayes untuk Sistem Pendukung Keputusan dalam Memilih Calon Pasangan Melalui Proses Ta’aruf
2017 : Nur Iriawan, Identifikasi dan Kesamaan Pola Dokumen Marketing dengan Bayesian Network
2016 : PENDEKATAN TIME SERIES CLUSTERING UNTUK GROUP FORECASTING PADA DATA PERMINTAAN OBAT YANG BERDIMENSI TINGGI
2016 : Nur Iriawan, Small Area Estimation dengan Metode Hierarchical Bayesian General Regression Neural Network untuk Anak Putus Sekolah pada Rumah Tangga Miskin
2015 : Nur Iriawan, Small Area Estimation dengan Metode Hierarchical Bayesian General Regression Neural Network untuk Anak Putus Sekolah pada Rumah Tangga Miskin
2014 : Revitalisasi Kreatif Lokal Perumahan Etnik Madura\n
2019 : Pelatihan Pengolahan Data Statistik Sektoral untuk Perangkat Daerah Pemerintah Provinsi Jawa Timur
2018 : Implementasi Model Riset Statistika untuk Peningkatan Kualitas PTK bagi Kelompok Kerja Pengawas PAI/ Madrasah KanKemenag Kabupaten Jombang
2017 : Workshop Implementasi Statistika pada Penelitian Tindakan Kelas (PTK) bagi Musyawarah Guru Mata Pelajaran (MGMP) IPA SMK Mojokerto
2016 : WORKSHOP METODE PENGAJARAN STATISTIKA DENGAN\nPENDEKATAN TEMATIK BAGI GURU SMA
2016 : WORKSHOP PENGAJARAN STATISTIKA DI PERGURUAN TINGGI BAGI DOSEN KOPERTIS WILAYAH VII
2015 : PENINGKATAN KOMPETENSI GURU DALAM PENGAJARAN STATISTIKA DI SMA PADA MODEL PEMBELAJARAN TEMATIK KURIKULUM 2013
