Yahoo Cari Web

Sign in

Hasil Pencarian

  1. www.its.ac.id › statistika › dosen-staffDr. Suhartono, M.Sc - Departemen Statistika

    Gedung T Lantai 2 Kampus ITS Sukolilo Surabaya, Indonesia 60111 Phone. +62 31 5943352 Mobile. +62 812-3442-0500 Fax. +62 31 5922940 Email: statistika@its.ac.id

  2. Gambar

    • ITS Pertahankan Peringkat Empat Besar Webometrics
    • Suhartono SUHARTONO | Head of Department | PhD | Institut Teknologi ...
    • Dr. Suhartono ITS Surabaya, Peramalan dengan Statistical Machine ...
    • 1047-Suhartono-statistics-Paper Suhartono ITS Revision (Color Mark ...
    • Turut Berduka Cita Atas Meninggalnya Dr. Suhartono, S.Si., M.Sc ...

    Lihat semua

  3. scholar.google.com › citations‪Suhartono‬ - ‪Google Scholar‬

    Heri Kuswanto Department of Statistics, Institut Teknologi Sepuluh Nopember (ITS) Verified email at statistika.its.ac.id

  4. www.its.ac.id › mt › profil-dr-suhartono-s-si-m-scProfil Dr. Suhartono, S.Si., M.Sc - Program Pascasarjana...

    Institut Teknologi Sepuluh Nopember. Pendidikan S2. University of Manchester Institute of Science and Technology. Pendidikan S3. Universitas Gadjah Mada. Kompetensi. Time series forecasting, Multivariate data analysis, Machine learning, Spatio Temporal Model. Sinta. Scholar.

  5. www.its.ac.id › mist › enProfil Dr. Suhartono, S.Si., M.Sc - Inovasi Sistem dan Teknologi

    Nama Dosen: Dr. Suhartono: Email address: suhartono@statistika.its.ac.id: NIP: 197109291995121001: NIDN: 0029097102: Pendidikan S1: Institut Teknologi Sepuluh Nopember

  6. www.researchgate.net › profile › Suhartono-Suhartono-3Suhartono SUHARTONO | Head of Department | PhD | Institut...

    Suhartono SUHARTONO, Head of Department | Cited by 1,727 | of Institut Teknologi Sepuluh Nopember, Surabaya (ITS) | Read 181 publications | Contact Suhartono SUHARTONO

  7. scholar.its.ac.id › en › publicationsA hybrid singular spectrum analysis and neural networks for...

    This study proposes hybrid methods by combining Singular Spectrum Analysis and Neural Network (SSA-NN) to forecast the currency circulation in the community, i.e. inflow and outflow.

  8. scholar.its.ac.id › en › publicationsHybrid SSA-TSR-ARIMA for water demand forecasting

    The aim of this research is to propose hybrid methods based on Singular Spectrum Analysis (SSA) decomposition, Time Series Regression (TSR), and Automatic Autoregressive Integrated Moving Average (ARIMA), known as hybrid SSA-TSR-ARIMA, for water demand forecasting.