1. Nama : Dr. Brodjol Sutijo Suprih Ulama, M.Si.
2. NIP : 19660125 199002 1 001
3. NIDN : 0025016603
4. Tempat dan Tanggal lahir : Malang, 25 Januari 1966
5. Program Studi : Sarjana Terapan Statistika BISNIS
Fakultas : Vokasi
Perguruan Tinggi : Institut Teknologi Sepuluh Npember 6. Alamat : Kampus ITS Sukolilo Surabaya,
Kode Pos : 60111.
No. Telpon/Fax : 0817336156 (HP)
E-mail : [email protected] No. Telpon Rumah : 031-5046028
7. Status Akademik : ( ) Dosen Departemen Statistika Bisnis 8. Nama Jabatan Struktural : Sekertaris Departemen
9. Pendidikan :
Gelar Tahun Program Studi Nama Perguruan Tinggi
Negara
Drs. 1989 Statistika ITS, Surabaya Indonesia MSi 2001 Statistika IPB, Bogor Indonesia Dr. 2008 Statistika UGM, Yogyakarta Indonesia 10. Pengalaman Penelitian :
No. Judul Tahun Sumber
Dana
1 Pengembangan Model Peramalan Regresi Neural Fuzzy Network pada Peramalan Harga Saham
2019, Dana Lokal
2 Pengembangan Pemodelan Hybrid ARIMA Fuzzy Neural Network untuk Prediksi Harga Saham Sektor Pertambangan
2018, Dana Lokal
3 Analisis Intervensi Time Series Untuk Meramalkan Jumlah Pengiriman Dokumen dan Non Dokumen di Kantor Pos Kantor regional VII Jawa Timur
2017, Dana Deprtemen
4 Small Area Estimation dengn Metode Hierarchical Bayesian General Regression Neural Network untuk Anak Putus Sekolah pada Keluarga Miskin
2015-2016, Dikti
5
Penilaian Risiko Anggota Dana perlindungan Pemodal
2014, PT P3IEI
6
Peramalan Data Spasio Temporal Hidrologi Sebagai Input Analisis Resiko Kasus DBD
2013, PUPT Pendukung
Unggulan 7
Kajian Faktor-Faktor yang berpengaruh dalam Penentuan Level Crisis Management Protocol dalam Pencegahan dan Penanganan Krisis Pasar Surat Berharga Negara
April – Nopember 2012
8
Pengembangan Metode Peramalan untuk Data Spasio Temporal
2012, Penelitian basis lab. 9
Yield Curve Modeling Consultancy,
Australia-Indonesia Partnership for Economic Governance (AIPEG) – Norton Rose Australia,
May – August, 2011
10
Pendekatan VAR untuk Pemodelan Kunjungan Wisatawan di Bali
2011, Peneli. Produktif 11
Pemodelan Multiscale AutoRegression untuk data Deret Waktu
2010-2011, Hibah Fundamental II 11
Kajian Model Intervensi pada Data Deret Waktu 2008, PHK-A3
11. Pengalaman Pengabdian :
1. Pelatihan Microsof Office bagi Guru-Guru SD di Wilayah Kecamatan Sukolilo Surabaya, 2010, Jurusan Statistika ITS
2. Pelatihan Analisis Data Bagi Taruna AAL, 2011, Jurusan Statistika ITS 3. Pelatihan Pengolahan data bagi Staf Direktorat Jenderal Pengelolaan Utang
Kementrian Keuangan, 2012, Jurusan Statistika ITS
4. Pelatihan Pengolahan Data bagi Guru-Guru IPA Kabupaten Mojokerto, 2013, MGMP IPA Mojokerto
5. Pellatihan Analisis Data Statistika bagi Taruna AAL, 2014, Departemen Teknik Lingkungan, ITS
6. Pelatihan Pembelajaran Statistika SMA Bagi guru-guru SMA di Kabupaten Jombang, 2015, MGMP Matematika Jombang
7. Pelatihan Pengolahan Data Statistika untuk Penelitian bagi Dosen-Dosen PTS Kopertis Wilayah VII Jawa Timur, 2016, Surabaya
8. Pelatihan Statistika Bagi Staf Kecamatan Kabupaten gresik, 2017, Pemerintah Daerah Kabupaten Gresik
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9. Pelatihan Statistika dasar Bagi guru-guru SMA/SMK Kabupaten Mojokerto, 2018, Dinas Pendidikan Kabupaten Mojokerto.
10. Pelatihan Pengolahan Data bagi Staf PT Pos Indonesia Regional VII Surabaya di UPT Kantor Pos Sidoarjo, 2019
12. Pembicara
1. “Pengelolaan Laboratorium”, pada Penguatan kegitan berbasis Laboratorium di Sekolah Tinggi Ilmu Statistika, 2014
2. “Pengelolaan dan Manajemen Lembaga Pusat Karir di ITS”, pada revitalisasi Lembaga Pusat Karir di Universitas Muhamadiyah Sidoarjo, 2014
3. “ Pemodelan Data Deret Waktu dengan metode Radial Basis Function Network” Pada Seminar Nasional Matematika 2015 di Surabaya 4. “Monitoring dan Laporan Pendataan Tamu Kunjungan Kerja di Pemkot
Surabaya” tahun 2017-2019
13. Publikasi Ilmiah : Jurnal Internasional
1. Suhartono, Ulama, B.S.S., Endharta, A.J., (2010), Seasonal Time Series data Forecasting by Using Neural Networks Multiscale Autoregressive Model, American Journal of Applied Sciences 7 (10) : 1372-1378 (ISSN 1546-9239)
2. Ulama, B.S.S, Suhartono and Endharta, A.J., (2010), Forecasting Tourism Data Using Neural Networks - Multiscale Autoregressive Model, Jurnal Matematics and Natrural Sciences, ITB, April, 2010.
3. Ismartini,P., Iriawan, N., Setiawan, Ulama B.S.S., (2012), Toward a Hierarchical Bayesian Framework for Modelling the Effect of Regression Diversity on Household Expenditure, Journal of Mathematics anf Statistics 8(2) : 283-291. (ISSN : 1549-3644)
4. Puspitasari I., Ulama BSS., Suhartono., (2013), Model Selection in Adaptive Neuro Fuzzy Inference Systen (ANFIS) by Using Inference of R2 Incremental for Time Series forecasting, International Jurnal Science and Research, Vol 2, Issue 2, (ISSN :2319-7064)
5. Fitriasari K., Iriawan N., Ulama BSS., (2013), On The Multivariate Time Series Rainfall Modelling Using Time Delay Neural Network, International
Journal Applied of Mathematics and Statistics, Vol 44, Issue 14, (ISSN : 0973-7545)
6. Baharuddin, Suhariningsih, Ulama B.S.S., (2014), Geographically Weighted Regression Modeling for Analyzing Spatial Heterogenity on Relationship between Dengue Hemorrhagic Fever Incidence and Rainfall in Surabaya, Indonesia, Modern Applied Science, Vol. 8, No 3., (ISSN 1913-1844).
7. Ulama, B.S.S, Prastuti, M., Oktaviana, P.P. (2018), Modeling Coal Company Stock by Using Fuzzy-RBFNN, International Journal of Mechanical Engineering and Technology (IJMET), Volume 9, Issue 12, December 2018, pp. 858–865, ISSN Print: 0976-6340 and ISSN Online: 0976-6359, © IAEME Publication
Seminar Internasional
1. Ulama, B.S.S., Subanar and Guritno, S., Optimization Radial Basis Function Neural Network, Presedted at International Conference on Mathematics and Its Applications, SEAMS - Gadjah Mada University, July 2007.
2. Ulama, B.S.S., Suhartono and Endharta, A.J., (2009), Forecasting Seasonal Data Using Neural Networks - Multiscale Autoregressive Model, Proceeding International Conference Mathematics and Statistics, Lampung, Agust, 2009.,
3. Ulama, B.S.S., Suhartono and Endharta, A.J., (2010), Forecasting Tourism Data Using Neural Networks - Multiscale Autoregressive Model, Proceeding of International Conference on Applied Mathematics (ICAM05), ITB, Bandung, Nopember 2010.
4. Ulama, B.S.S., Suharsono, A.,(2011), Structural VAR Approach on Time Series Data, Proceeding of International Conference on Applied Mathematics and Natural Sciences (ICoMS), ITS, Surabaya, Oktober 2011 .
5. Ismartini,P., Iriawan, N., Setiawan, Ulama B.S.S., A Hierarchical Structured Data Analysis for Household Expenditure using a Bayesian Hierarchical Model, International Conference on Mathematics and
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Sciences (ICOMSc) ITS, 12-13 Oktober 2011, Surabaya, Indonesia, ISBN: 978-602-1
6. Ismartini, P., Iriawan, N., Setiawan, Ulama B.S.S., Model Criticism for Log-Normal Hierarchical Bayesian Models on Household Expenditure in Indonesia. International Conference on Statistics in Science, Business and Engineering 2012 (ICSSBE2012), University Teknologi Mara, Langkawi, Kedah, Malaysia. IEEE Computer Society, 2012. ISBN: 978-1-4673-1581-4,
7. Ulama, B.S.S. Mahmudin, A., (2012), Air Temperture Modelling Air Temperature Modelling by Using Artificial Neural Network , Proceeding International Conference on Mathematics, Statistics and its Applications 2012 (ICMSA 2012) ISBN 978-979-96152-7-5
8. Fithriasari, K., Iriawan, N., Ulama, B. S. S., Sutikno, Kuswanto, H., (2012) Daily rainfall prediction using time delay neural networks , Proceeding International Conference on Mathematics, Statistics and its Applications 2012 (ICMSA 2012) ISBN 978-979-96152-7-5
9. Mukhsar, Iriawan N., Ulama, B. S. S., Sutikno, and Kuswanto, H. (2012). Spatial Bayesian Poisson-Lognormal Analysis of Dengue Relative Risk Incidence in Surabaya on 2010, Proceedings of International Conference Mathematics Statistics and Its Application 2012, (ICMSA 2012) ISBN 978-979-96152-7-5
10. Fitriasari K, Nur Iriawan, Ulama B.S.S., (2013), Bayesian Neural Network for Time Series Modelling, Proceeding South East Asia Confrence on Mathematics and its Application 2013, ITS, Surabaya, 14-15 Nopember 2013.
11. Muksar, Nur Iriawan, Ulama, B.S.S., (2013), Full Conditional Distribution of Bayes Poisson Log Normal 2 level Spatio Temporal Extension for DHF Risk Analisis, Proceeding South East Asia Confrence on Mathematics and its Application 2013, ITS, Surabaya, 14-15 Nopember 2013.
12. Ulama, B.S.S., Hediati H., (2014), Obesity Indonesia Children Detection According to Macronutrients by Using Binary Logistic Regression and Radian Basis Function Neural Networks, Proceeding ICSM 2014, ITS Surabaya, Nopember 2014.
13. Qudsi, J.S., Iriawan, N., Ulama, B.S.S., (2015), Mixture Survival Model on Length of School Time of Children in East Java by
Bayessian Approach, Proceeding of The 7th SEAMS_UGM Conference 2015.
14. Ulama, B.S.S., Prastuti, M., Oktaviana, P. P. (2018), ANFIS Approach for Modelling Mining Sector Stock, The International Conference on Engineering Technology, Advanced Science and Industrial Application, ITS Surabaya, September 2018
15. Ulama, B.S.S., Prastuti, M., Oktaviana, P. P. (2019), Neural Fuzzy Regressiion for Forecasting, IndoMS, International Conferrence on Mathematics and Its Applied, Tanjungpura University Pontianak, September 2019
Seminar Nasional
1. Ulama, B.S.S., Suhartono dan Hafidah, Pemodelan Time series pada data yang mengandung outlier, Prosiding Seminar Nasional Mate-matika dan Statistika, Jurusan Statistika ITS, Surabaya, 11 Oktober 2003, hal 47-52. (ISBN : 979-96700-1-2)
2. Ulama, B.S.S., Subanar and Guritno, S., Efek Regulasi dalam estimasi fungsi dengan pendekatan Jaringan fungsi Radial Basis, Prosiding Seminar Nasional Matematika dan Informatika, Jurusan Matematika UNS, Surakarta, 7 Mei 2005, hal 115-125. (ISBN : 979-99529-0-5)
3. Ulama, B.S.S., Subanar dan Guritno, S., Konstruksi Model Fungsi Radial Basis Neural Networks, Prosiding Seminar Nasional Statistika VII, Jurusan Statistika ITS, Surabaya, 2005, hal. 47-52. (ISBN : 979-96700-1-2)
4. Ulama, B.S.S, (2009), Pendekatan Kointegrasi Pada Pemodelan data Ekonomi Sektor Pertanian, Prosiding Seminar Nasional Statistika IX, Jurusan Statistika ITS, Surabaya, 2009,
5. Ulama, B.S.S. (2011), Evaluasi Penerapan SLPTT dengan Pendekatan Regresi Hedonik, Prosiding Seminar Nasional MIPA, FMIPA Universitas Tanjung Pura, 2011.
6. Ulama, B.S.S. dan Mirawanti, Y., (2014), Klasifikasi Rumah Tangga Miskin dengan Jaringan Syaraf Tiruan Fungsi radial Basis, Konferensi Nasional Matematika, ITS, Surabaya
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