Area of Interest:

Bayesian Inference

100%

Data Mining

62%

Computational Statistics

90%

Neural Network

75%

Order Statistics

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Warsito, B., T. Tarno, S. Suparti, S. Sugito and S. Sumiyati, 2018. [Management of Garbage data at the Garbage bank Sempulur Asri Gedawang]. E-DIMAS: J. Pengabdian Kepada Masyarakat, 9: 262-271.
CrossRef | Direct Link |
Warsito, B., R. Santoso, Suparti and H. Yasin, 2018. Cascade forward neural network for time series prediction. J. Phys. IOP Conf. Ser., Vol. 1025. 10.1088/1742-6596/1025/1/012097.
CrossRef | Direct Link |
Warsito, B., R. Santoso, H. Yasin and Suhartono, 2018. Gradient based optimization in cascade forward neural network model for seasonal data. J. Theor. Applied Inform. Technol., 96: 7007-7017.
Direct Link |
Warsito, B., H. Yasin, D. Ispriyanti and A. Hoyyi, 2018. Robust geographically weighted regression of modeling the Air Polluter Standard Index (APSI). J. Phys.: Conf. Ser., Vol. 1025. 10.1088/1742-6596/1025/1/012096.
CrossRef | Direct Link |
Prahutama, A., B. Warsito and M. Abdul Mukid, 2018. Analysis of the number infant and maternal mortality in Central Java Indonesia using spatial-poisson regression. Media Statistika, 11: 135-145.
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Widiharih, T., Y. Wilandari and B. Warsito, 2017. D-optimal design for logistic model with maple. Adv. Sci. Lett., 23: 6567-6570.
CrossRef | Direct Link |
Widiharih, T. and B. Warsito, 2017. Rancangan D-optimal model gompertz dengan maple. Media Statistika, 10: 33-46.
Direct Link |
Ispriyanti, D., H. Yasin, B. Warsito, A. Hoyyi and K. Winarso, 2017. Mixed geographically weighted regression using adaptive bandwidth to modeling of air polluter standard index. ARPN J. Eng. Applied Sci., 12: 4477-4482.
Direct Link |
Warsito, B., Subanar and Abdurakhman, 2016. Comparison of some designs of wavelet model for time series. AIP Conf. Proc., Vol. 1707. 10.1063/1.4940861.
CrossRef | Direct Link |
Warsito, B., R. Gernowo and A. Sugiharto, 2016. Rainfall prediction by using wavelet general regression neural network. Int. J. Applied Math. Stat., 54: 32-41.
Tarno, Yasin, H. and B. Warsito, 2016. Constructing volatility model of portfolio return by using GARCH. Global J. Pure Applied Math., 12: 1201-1210.
Direct Link |
Suparti, R., B. Warsito and H. Yasin, 2016. The shift invariant discrete wavelet transform (SIDWT) with inflation time series application. J. Math. Res., 8: 14-20.
Warsito, B., Subanar and Abdurakhman, 2015. Wavelet decomposition for time series: Determining input model by using mRMR criterion. Hacettepe J. Math. Stat., 44: 229-238.
Hidayati, N. and B. Warsito, 2010. [Prediction of heart disease using learning vector quantization method]. Media Statistika, 3: 21-30.
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Warsito, B., Tarno and A. Sugiharto, 2009. [Rainfall predictions as the basis for planning of planting pattern of rice and crops using general regression neural network]. J. Litbang Provinsi Jawa Tengah, 7: 71-80.
Direct Link |
Warsito, B., A. Rusgiyono and M.A. Amirillah, 2008. [General regression neural network modeling at air pollution data in semarang]. Media Statistika, 1: 43-51.
Direct Link |