Ujian Tertutup Mahasiswa S3 Matematika atas nama Winita Sulandari yang dilaksanakan tanggal 9 Agustus 2019.
Judul disertasi Model Peramalan Berbasis Singular Spectrum Analisys pada Runtun Waktu Berpola Musiman dengan pembimbing Prof. Drs. Subanar, Ph.D., Dr. Suhartono, S.Si., M.Si dan Dr. Herni Utami, S.Si., M.Si.

Ujian Tertutup dilaksanakan di Ruang Sidang Gedung KPTU FMIPA UGM (lantai 2) berlangsung selama kurang lebih 2,5 jam dengan Ketua Tim Penguji: Dr. Edi Suharyadi, M.Si. dan 6 anggota Tim Penguji yaitu: Tim Promotor, Prof. Drs. Subanar, Ph.D., Dr. Suhartono, S.Si., M.Si dan Dr. Herni Utami, S.Si., M.Si. Penguji Prof. dr. Sri Haryatmi, M.Sc., Drs. Danardono, M.P.H., Ph.D., Dr. Abdurakhman, S.Si., M.Si., Dr. Gunardi, S.Si., M.Si.,
dan penguji tamu dari Luar Bidang. Dr. Agus Sihabudin, S.si., M.Kom. read more

Ujian Tertutup Mahasiswa S3 Matematika atas nama Sutrima yang dilaksanakan tanggal 9 Juli 2019.
Judul disertasi Semigrup Kuasi Kontinu Kuat dan Sistem Kendali Linear Bergantung Waktu dengan pembimbing Prof. Dr. Ch. Rini Indrati, M.Si. dan Dr. Lina Aryati, M.S.

Ujian Tertutup dilaksanakan di Ruang Sidang Gedung KPTU FMIPA UGM (lantai 2) berlangsung selama kurang lebih 2,5 jam dengan Tim Penguj: Tim Promotor Prof. Dr. Christiana Rini Indrati, M.Si., Dr. Lina Aryati, M.S., Prof. Dr. Supama, M.Si., Atok Zulijanto, S.Si., M.Si., Ph.D., Prof. Dr. Widodo, M.S., Imam Sholekhudin,S.si., m.Si., Ph.D. dan penguji tamu dari Fakultas Matematika dan Ilmu Pengetahuan Alam ITB: Drs. Yudi Soeharyadi, M.Si., Ph.D. read more

The research entitled  “wavelet Neural Network Modeling With Genetic Algorithm” was conducted by Budi Warsito under the guidance of Prof. Drs. Subanar, Ph.D.,  and Dr. Abdurakhman, M.Si. in 2017.

The following is the abstract of this research.

ABSTRACT

Neural Network (NN) is one of the non-linear model which has been developed a lot in statistical modeling, especially in time series analysis. Many researches have shown the advantages of this model compared to the others. However, there are still some problems in NN modeling for time series, including the handling of the input preprocessing, inconsistency of the estimation results and the selection of optimal architecture. The handling of the input preprocessing problem is carried out through the separation of data based on the original components and the noise using wavelet decomposition. Wavelet coefficients resulting from the decomposition are then become the inputs of NN model.Wavelet transformation which is regarded more appropriate for time series data is Maximal Overlap Discrete Wavelet Transform (MODWT), because each level of the decomposition contained wavelet coefficients and scaling coefficients as many as the length of the data. This advantage reduces the weaknesses of filtering by Discrete Wavelet Transform (DWT) which can not be performed on any sample size. The next problems arising is how to determine the level of decomposition and the number of coefficients in each level. In this study, the Maximal Relevance Minimum Redundancy (mRMR) criteria is applied in MODWT decomposition to obtain the optimal input. The criteria based on the Mutual Information (MI) value has been selected due to consider the redundancy between the input variable itself, as well as its value is based on the relevance of input variables with the target. read more

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The research entitled  “The Wavelet Radial Basis Model for Forecasting Time Series With Jumps” was conducted by Rukun Santoso under the guidance of Prof. Drs. Subanar, Ph.D., Prof. Dr. Dedi Rosadi, M.Sc., and Dr. Suhartono, M.Sc. in 2017.

The following is the abstract of this research.

ABSTRACT

This dissertation research has resulted new computation mathematics model called as Wavelet Radial Basis (WRB) model. This model can be used for nonlinear time series forecasting, especially when clustering effect was occurred. The model construction consist of three stage, i.e. prepossessing through wavelet transformation, filtering the clustering effect through radial basis function, and estimation of model parameters. If the result of radial basis filtering support the linear regression assumption, then ordinary least squared method can be used for parameters estimation. In other case, an empirical solution becomes an alternative solution. One of the recommended solution can be reached by neural network (NN) method. read more

Ujian Tertutup Mahasiswa S3 Matematika atas nama Burhanudin Arif Nurnugroho yang dilaksanakan tanggal 7 Februari 2019.
Judul disertasi Operator Linear pada Ruang Modular-2 dengan pembimbing Prof. Dr. Supama, M.Si. dan Atok Zulijanto, S.Si., M.Si., Ph.D.

Ujian Tertutup dilaksanakan di Ruang Sidang Gedung KPTU FMIPA UGM (lantai 2) berlangsung selama kurang lebih 2,5 jam dengan Ketua Tim Penguji: Dr.rer.nat. Ari Suparwanto, M.Si. dan 6 anggota Tim Penguji yaitu: Tim Promotor, Prof. Dr. Christiana Rini Indrati, M.Si., Dr. Imam Solekhudin, S.Si., M.Si., Prof. Dr. Soeparna Darmawijaya dan penguji tamu dari Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Brawijaya: Prof. Dr. Marjono, M.Phil. read more

Ujian Tertutup Mahasiswa S3 Matematika atas nama Fitriyani yang dilaksanakan tanggal 6 Februari 2019.

Judul Disertasi Modul U-Bebas, dengan Pembimbing Dr.rer.nat. Indah Emilia Wijayanti, M.Si. dan Dr. Budi surodjo, M.Si.

Ujian Tertutup yang dilaksanakan di Ruang Sidang Gedung KPTU FMIPA UGM (lantai 2) berlangsung selama kurang lebih 2,5 jam dengan Ketua Tim Penguji: Dr.rer.nat. Nurul Hidayat Aprilita, M.Si. dan 7 anggota Tim Penguji yaitu: Tim Promotor, Prof. Dr. Sri Wahyuni, S.U., Dr.rer.nat. Ari Suparwanto, M.Si., Dr. Muchtadi Intan Detiena, S.Si., M.Si. (dari Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Teknologi Bandung), Prof. Dr. Christiana Rini Indrati, M.Si. dan Dr. Diah Junia Eksi Palupi, S.U. read more

Perpanjangan Studi 2019

COMPREHENSIVE EXAMINATION
DOCTORAL PROGRAM IN MATHEMATICAL SCIENCES

Student: Hermansah
Day/Date: Wednesday, May 8, 2019
Time: 8:30 AM – 11:30 AM
Location: Meeting Room 1, Department of Mathematics, 1st Floor

Examination Committee: