{"id":915,"date":"2018-02-02T11:16:59","date_gmt":"2018-02-02T04:16:59","guid":{"rendered":"http:\/\/stat.fsm.undip.ac.id\/v1\/?page_id=915"},"modified":"2025-08-05T09:25:14","modified_gmt":"2025-08-05T02:25:14","slug":"dr-budi-warsito-s-si-m-si","status":"publish","type":"page","link":"https:\/\/stat.fsm.undip.ac.id\/v1\/dr-budi-warsito-s-si-m-si\/","title":{"rendered":"Dr. Budi Warsito, S.Si., M.Si"},"content":{"rendered":"

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Dr. Budi Warsito, S.Si., M.Si.<\/h1>\n

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NIP : 197508241999031003<\/strong><\/span><\/p>\n

NIDN : 0024087502<\/strong><\/span><\/p>\n

NUPTK : 9156753654130083<\/strong><\/span><\/p>\n

Jabatan : Lektor Kepala<\/strong><\/span><\/p>\n

Pangkat, Golongan : Penata Tk I, III\/d<\/strong><\/span><\/p>\n

E-mail : budiwarsitoundip<\/strong> [at] gmail [dot] com<\/strong><\/span><\/span><\/p>\n

Kepakaran : Neural Network<\/em>, Data Mining<\/em><\/strong><\/span><\/p>\n

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Dr. Budi Warsito, S.Si., M.Si. NIP : 197508241999031003NIDN : 0024087502NUPTK : 9156753654130083Jabatan : Lektor KepalaPangkat, Golongan : Penata Tk I, III\/dE-mail : budiwarsitoundip [at] gmail [dot] comKepakaran : Neural Network, Data Mining<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"

\"DSC_0065\"<\/a><\/p>

DAFTAR RIWAYAT HIDUP<\/strong><\/p>

A. Identitas Diri<\/p>
Nama Lengkap<\/td>:<\/td>Dr. Budi Warsito, S.Si., M.Si.<\/td><\/tr>
\u00a0Jabatan Fungsional<\/td>\u00a0:<\/td>Lektor<\/td><\/tr>
\u00a0Jabatan Struktural<\/td>\u00a0:<\/td>\u00a0-<\/td><\/tr>
\u00a0NIP<\/td>\u00a0:<\/td>\u00a0<\/td><\/tr>
\u00a0NIDN \/ SERDOS<\/td>\u00a0:<\/td>0024087502<\/td><\/tr>
\u00a0Tempat Tanggal Lahir<\/td>\u00a0:<\/td>Sukoharjo, 24 Agustus 1975<\/td><\/tr>
\u00a0Alamat Kantor<\/td>\u00a0:<\/td>Departemen Statistika
Gedung F Lantai 3
Fakultas Sains dan Matematika
Universitas Diponegoro
Jl. Prof. Sudarto, SH. Semarang 50275<\/td><\/tr>
\u00a0Alamat Email<\/td>\u00a0:<\/td>budiwrst2@gmail.com<\/a><\/td><\/tr>
\u00a0Lulusan yang Telah Dihasilkan<\/td>\u00a0:<\/td>\u00a0<\/td><\/tr>
\u00a0Mata Kuliah yang diampu<\/td>\u00a0:<\/td>\u00a0<\/td><\/tr><\/tbody><\/table>

B. Riwayat Pendidikan<\/p>
Jenjang<\/strong><\/td>S1<\/strong><\/td>S2<\/strong><\/td>S3<\/strong><\/td><\/tr>
Nama Perguruan Tinggi<\/strong><\/td>\u00a0UGM<\/td>\u00a0UGM<\/td>\u00a0UGM<\/td><\/tr>
Bidang Ilmu<\/strong><\/td>\u00a0Statistika<\/td>Matemaika<\/td>Matematika<\/td><\/tr>
Tahun Masuk - Lulus<\/strong><\/td>\u00a01993-1998<\/td>2002-2004<\/td>2011-2016<\/td><\/tr>
Judul Skripsi \/ Tesis \/ Disertasi<\/strong><\/td>\u00a0<\/td>\u00a0<\/td>\u00a0<\/td><\/tr>
Nama Pembimbing \/ Promotor<\/strong><\/td>Prof. Drs. Subanar, PhD.
Dr. Gunardi, M.Si<\/td>		Prof. Drs. Subanar, PhD<\/td>

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Prof. Drs. Subanar, PhD.<\/p>

Dr. Abdurakhman, M.Si.<\/p><\/td><\/tr><\/tbody><\/table>

C. Pengalaman Penelitian dalam 5 tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>Tahun<\/strong><\/td>Judul Penelitian<\/strong><\/td>\u00a0Sumber Pendanaan<\/strong><\/td>Jumlah Dana (Juta Rp)<\/strong><\/td><\/tr>
1.<\/td>2010<\/td>Pemodelan Wavelet Neural Network untuk Analisis Volatilitas EGARCH Data Finansial<\/td>Hibah PEKERTI DIKTI<\/td>62<\/td><\/tr>
2.<\/td>2010<\/td>Integrasi Sektor Keuangan Regional : EWS Sektor Finansial<\/td>BKF Departemen Keuangan RI<\/td>382,7<\/td><\/tr>
3.<\/td>2013<\/td>Aplikasi Model Hybrid Wavelet Neural Network untuk Mengatasi Masalah Volatilitas GARCH data finansial<\/td>Hibah Doktor DIKTI<\/td>46,5<\/td><\/tr>
4.<\/td>2014<\/td>Peramalan Data Inflasi di Indonesia<\/td>Hibah Bersaing DIKTI<\/td>50<\/td><\/tr>
5.<\/td>2015<\/td>Peramalan Data Inflasi di Indonesia (lanjutan)<\/td>Hibah Bersaing DIKTI<\/td>50<\/td><\/tr>
6.<\/td>2015<\/td>Sistem Informasi Prakiraan Hujan Berbasis Model Hybrid Wavelet Neural Network untuk Penentuan Kalender Tanaman di Sentra Produksi Beras Jawa Tengah Sebagai Antisipasi Dampak Anomali Iklim<\/td>Riset Penerapan & Pengembangan DIPA PNBP UNDIP<\/td>50<\/td><\/tr>
7.<\/td>2015<\/td>Pemodelan Volatilitas untuk Penghitungan Value at Risk (VaR) Saham LQ-45 Menggunakan Adaptive Neuro Fuzzy Inference System (ANFIS)<\/td>Hibah Fundamental DIKTI<\/td>50<\/td><\/tr>
8.<\/td>2016<\/td>Sistem Informasi Prakiraan Hujan Berbasis Model Hybrid Wavelet Neural Network untuk Penentuan Kalender Tanaman di Sentra Produksi Beras Jawa Tengah Sebagai Antisipasi Dampak Anomali Iklim (lanjutan)<\/td>Riset Penerapan & Pengembangan DIPA PNBP UNDIP<\/td>56<\/td><\/tr>
9.<\/td>2016<\/td>Pengembangan Model Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Prediksi Produksi Tanaman Pangan Sebagai Dasar Perencanaan Swasembada Pangan di Jawa Tengah<\/td>Hibah Fundamental DIKTI<\/td>50<\/td><\/tr>
10.<\/td>2016<\/td>Pemrograman Graphical User Interface untuk Model Wavelet Neural Network pada Data Time Series<\/td>Riset Unggulan Tematik Berbasis Paten dan HAKI<\/td>25<\/td><\/tr>
11.<\/td>2017<\/td>Pemodelan Spatio Temporal Unsur-Unsur Pencemar Udara Menggunakan Mixed Geographically and Temporally\u00a0 Weighted Multivariate Regressions (MGTWMR<\/td>Penelitian Unggulan Perguruan Tinggi (PUPT) DRPM DIKTI<\/td>87,5<\/td><\/tr>
12.<\/td>2017<\/td>Optimasi Heuristic pada Model Wavelet Neural Network untuk Time Series<\/td>DIPA PNBP UNDIP<\/td>40<\/td><\/tr><\/tbody><\/table>

D. Pengalaman Pengabdian Kepada Masyarakat 5 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>Tahun<\/strong><\/td>Judul Pengabdian Kepada Masyarakat<\/strong><\/td>\u00a0Sumber Pendanaan<\/strong><\/td>Jumlah Dana (Juta Rp)<\/strong><\/td><\/tr>
1.<\/td>2011<\/td>Pelatihan model Respon Acak sebagai upaya Peningkatan Kualitas Survey<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
2.<\/td>2011<\/td>Pelatihan Penulisan Ilmiah Menggunakan Latex<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
3.<\/td>2011<\/td>Teknik Pengolahan Data Statistika menggunakan R<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
4.<\/td>2012<\/td>Pelatihan Simulasi Antrean Dengan Menggunakan Simulator Extend 6.0<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
5.<\/td>2012<\/td>Pelatihan Analisis Statistika Spasial dengan Menggunakan GWR 4<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
6.<\/td>2012<\/td>Pelatihan Statistika Kependudukan menggunakan program SPSS bagi Perangkat Desa di Kecamatan Banyumanik Semarang<\/td>DIPA UNDIP<\/td>7,5<\/td><\/tr>
7.<\/td>2013<\/td>Pembuatan Bahan Ajar Berbasis Web bagi Guru-guru SMPN 1 Karimunjawa Kabupaten Jepara<\/td>BOPTN DIKTI<\/td>16,9<\/td><\/tr>
8.<\/td>2014<\/td>IbM Elearning untuk SMP di Kabupaten Blora<\/td>IbM DIKTI<\/td>45<\/td><\/tr>
9.<\/td>2015<\/td>IbM pembelajaran online menggunakan kelas virtual untuk SMA di kota Semarang<\/td>IbM DIKTI<\/td>45<\/td><\/tr>
10.<\/td>2015<\/td>Pelatihan Metode Klasifikasi Menggunakan Support Vector Machine dengan Matlab<\/td>DIPA PNBP UNDIP<\/td>10<\/td><\/tr>
11.<\/td>2016<\/td>IbM Otomasi Perpustakaan untuk SMP di Kabupaten Blora<\/td>IbM DIKTI<\/td>45<\/td><\/tr>
12.<\/td>2017<\/td>IbPUD Bagi UKM Batik Kontemporer di Kota Semarang Jawa Tengah<\/td>IbPUD DIKTI<\/td>90<\/td><\/tr>
13.<\/td>2017<\/td>Pengelolaan Data Persampahan pada Bank Sampah Sempulur Asri Gedawang<\/td>DIPA PNBP UNDIP<\/td>8<\/td><\/tr><\/tbody><\/table>

E. Pengalaman Penulisan Artikel Ilmiah dalam Jurnal dalam 5 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>\u00a0Judul Artikel<\/strong><\/td>Volume \/ Nomor \/ Tahun<\/strong><\/td>Nama Jurnal<\/strong><\/td><\/tr>
\u00a01.<\/td>Pemodelan General Regression Neural Network pada Data Pencemaran Udara Kota Semarang<\/td>Vol 1 Nomor 1 tahun 2009<\/td>Jurnal Media Statistika<\/td><\/tr>
\u00a02.<\/td>Prediksi Curah Hujan Sebagai Dasar Perencanaan Pola Tanam Padi dan Palawija Menggunakan General Regression Neural Network<\/td>Vol 7 Nomor 1 tahun 2009<\/td>Jurnal Litbang Provinsi Jawa Tengah<\/td><\/tr>
\u00a03.<\/td>Prediksi Terjangkitnya Penyakit Jantung dengan Metode Learning Vector Quantization<\/td>Vol 3 Nomor 1 tahun 2010<\/td>Jurnal Media Statistika<\/td><\/tr>
\u00a04.<\/td>Wavelet Decomposition for Time Series: Determining Input Model by Using mRMR Criterion<\/td>Vol 44 issue 1 2015<\/td>Hacettepe Journal of Mathematics and Statistics (SJR: 0.282)<\/td><\/tr>
\u00a05.<\/td>Comparison of Some Designs of Wavelet Model for Time Series<\/td>Vol 1707\/ 080004\/2016<\/td>American Institute of Physic (AIP) Conf. Proc.<\/td><\/tr>
\u00a06.<\/td>Rainfall Prediction by Using Wavelet General Regression Neural Network<\/td>Vol 54 issue 3 March 2016<\/td>International Journal of Applied Mathematics & Statistics (SJR : 0.201)<\/td><\/tr>
\u00a07.<\/td>Constructing Volatility Model of Portfolio Return By Using GARCH<\/td>Vol.12, issue 2 2016<\/td>International Journal of Applied Mathematics & Statistics (SJR : 0.201)<\/td><\/tr>
\u00a08.<\/td>The Shift Invariant Discrete Wavelet Transform (SIDWT) with Inflation Time Series Application<\/td>Vol. 8 No.4 Agustus 2016<\/td>Journal of Mathematics Research; E-ISSN 1916-9809<\/td><\/tr>
\u00a09.<\/td>Hybrid Genetic Algorithm in Wavelet Neural Network Model<\/td>Submitted, id: PJSOR 2962<\/td>Pakistan Journal of Statistics and Operation Research (SJR : 0.131)<\/td><\/tr>
\u00a010.<\/td>D-Optimal Design for Logistic Model with Maple<\/td>Vol. 23, No 7, 6567\u20136570, 2017<\/td>Advanced Science Letters<\/td><\/tr>
\u00a011.<\/td>Mixed Geographically Weighted Regression Using Adaptive Bandwidth to Modeling of Air Polluter Standard Index<\/td>Vol 12 No 15 August 2017<\/td>ARPN Journal of Engineering and Applied Sciences<\/td><\/tr>
\u00a012.<\/td>Model Stokhastik Antrian Non Poisson pada Pelayanan Perbankan<\/td>Vol. 5 No. 1, 2017<\/td>Jurnal Statistika Unimus<\/td><\/tr><\/tbody><\/table>

F. Pengalaman Penyampaian Makalah Secara Oral pada Pertemuan \/ Seminar Ilmiah dalam 5 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>Nama Pertemuan \/ Seminar Ilmiah<\/strong><\/td>\u00a0Judul Artikel Ilmiah<\/strong><\/td>\u00a0Waktu dan Tempat<\/strong><\/td><\/tr>
\u00a01.<\/td>International Conference on Management and Innovation Technology<\/td>Neural Network Modelling with Wavelet Discrete Transform as Pre-processing at Financial Time Series Data<\/td>Gumaya Hotel, Semarang,\u00a027 Oktober 2010<\/td><\/tr>
\u00a02.<\/td>Seminar Nasional Matematika dan Pendidikan Matematika<\/td>Perbandingan Model FFNN dan GARCH pada Data IHSG Bursa Efek Jakarta<\/td>Jurusan Pend. Matematika FMIPA UNY, 27 November 2010<\/td><\/tr>
\u00a03.<\/td>Seminar Nasional Statistika<\/td>Beberapa Metode Optimasi pada Model Wavelet Neural Network untuk Data Time Series<\/td>Prodi Statistika FMIPA UNDIP, 21 Mei 2011<\/td><\/tr>
\u00a04.<\/td>Simposium Nasional Penelitian Perubahan Iklim, UNDIP - Kementerian Lingkungan Hidup<\/td>Konstruksi Pemodelan Neural Network untuk Prediksi Curah Hujan : Tinjauan Beberapa Model<\/td>Hotel Gumaya Semarang, 11 Juni 2011<\/td><\/tr>
\u00a05.<\/td>Konferensi Nasional Matematika XVI<\/td>Penentuan Bobot Model Neural Network Untuk Data Time Series Menggunakan Algoritma Genetika<\/td>Universitas Padjajaran, Bandung, 3-6 Juli 2012<\/td><\/tr>
\u00a06.<\/td>Seminar Nasional Statistika<\/td>Pemodelan Time Series dengan Maximal Overlap Discrete Wavelet Transform<\/td>Jurusan Statistika FSM UNDIP, 14 September 2013<\/td><\/tr>
\u00a07.<\/td>IndoMS International Conference on Mathematics and\u00a0 its Applications<\/td>Incremental Contribution Method to Determine the Size of Neural Network Optimized by Genetic Algorithm<\/td>Jurusan Matematika FMIPA UGM, 6-7 November 2013<\/td><\/tr>
\u00a08.<\/td>the 10th IMT-GT International Conference on Mathematics, Statistics and its Applications (ICMSA)<\/td>Wavelet Neural Network with Genetic Optimization in Time Series Modeling<\/td>Universiti Malaysia Terengganu, 14-16 Oktober 2014<\/td><\/tr>
\u00a09.<\/td>The 4th Int. Seminar on New Paradigm and Innovation on Natural Science and its Applications (ISNPINSA)<\/td>The Analysis of Indonesia Inflation Data using Box-Jenkins Model<\/td>Diponegoro University, 28 October 2014<\/td><\/tr>
\u00a010.<\/td>International Conference on Science and Science Education (ICONSSE)<\/td>Performance of Neural Network Model in Forecasting Indonesian Inflation<\/td>Satya Wacana Christian University, 1 Agustus 2015<\/td><\/tr>
\u00a011.<\/td>The 7th SEAMS-UGM Int. Conference on Mathematics & Its Applications, AIP Conf. Proc. 1707 (2016)<\/td>Comparison of Some Designs of Wavelet Model for Time Series<\/td>Gadjah Mada University, 18 \u2013 21 Agustus 2015<\/td><\/tr>
\u00a012.<\/td>The 6th Int. Seminar on New Paradigm and Innovation on Natural Science and its Applications (ISNPINSA<\/td>D-Optimal Designs for Logistic Model with Maple<\/td>Diponegoro University, 5-6 October 2016<\/td><\/tr><\/tbody><\/table>

G. Pengalaman Penulisan Buku dalam 5 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>Judul Buku\u00a0<\/strong><\/td>Tahun<\/strong><\/td>Jumlah Halaman\u00a0<\/strong><\/td>Penerbit<\/strong><\/td><\/tr>
\u00a01.<\/td>Kapita Selekta Statistika Neural Network<\/td>\u00a02009<\/td>183<\/td>\u00a0BP UNDIP<\/td><\/tr><\/tbody><\/table>

H. Pengalaman Perolehan HKI dalam 5-10 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>\u00a0Judul \/ Tema HKI<\/strong><\/td>Tahun<\/strong><\/td>Jenis\u00a0<\/strong><\/td>Nomor P\/ID\u00a0<\/strong><\/td><\/tr>
1.<\/td>Metode Penentuan Arsitektur Optimal untuk Model Kombinasi Wavelet dan Jaringan Syaraf Tiruan<\/td>2016<\/td>\u00a0Paten<\/td>\u00a0Terdaftar No P00201606681<\/td><\/tr><\/tbody><\/table>

I. Pengalaman Merumuskan Kebijakan Publik \/ Rekayasa Sosial Lainnya dalam 5 Tahun Terakhir<\/p>
\u00a0No.<\/strong><\/td>Judul \/ Tema \/ Jenis Rekayasa Sosial lainnya yang telah diterapkan<\/strong><\/td>Tahun<\/strong><\/td>Tempat Penerapan<\/strong><\/td>Respons Masyarakat<\/strong><\/td><\/tr>
1.<\/td>\u00a0<\/td>\u00a0<\/td>\u00a0<\/td>\u00a0<\/td><\/tr><\/tbody><\/table>

J. Penghargaan yang Pernah diraih dalam 10 Tahun Terakhir (Dari Pemerintah, Asosiasi atau Institusi Lainnya)<\/p>
\u00a0No.<\/td>\u00a0Jenis Penghargaan<\/strong><\/td>Institusi Pemberi Penghargaan\u00a0<\/strong><\/td>Tahun<\/strong><\/td><\/tr>
\u00a01.<\/td>Dosen Berprestasi Tingkat II Fakultas MIPA\u00a0 Universitas Diponegoro<\/td>\u00a0UNDIP<\/td>\u00a02009<\/td><\/tr><\/tbody><\/table>","_et_gb_content_width":"","footnotes":""},"class_list":["post-915","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/915","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/comments?post=915"}],"version-history":[{"count":18,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/915\/revisions"}],"predecessor-version":[{"id":6323,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/915\/revisions\/6323"}],"wp:attachment":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/media?parent=915"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}