{"id":923,"date":"2018-02-02T11:19:57","date_gmt":"2018-02-02T04:19:57","guid":{"rendered":"http:\/\/stat.fsm.undip.ac.id\/v1\/?page_id=923"},"modified":"2025-08-05T09:38:59","modified_gmt":"2025-08-05T02:38:59","slug":"dr-hasbi-yasin-s-si-m-si","status":"publish","type":"page","link":"https:\/\/stat.fsm.undip.ac.id\/v1\/dr-hasbi-yasin-s-si-m-si\/","title":{"rendered":"Dr. Hasbi Yasin, S.Si., M.Si."},"content":{"rendered":"

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Dr. Hasbi Yasin, S.Si., M.Si.<\/h1>\n

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NIP :\u00a0198212172006041003<\/strong><\/span><\/p>\n

NIDN :\u00a00017128201<\/strong><\/span><\/p>\n

NUPTK : 7549760661130193<\/strong><\/span><\/p>\n

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

Pangkat, Golongan : Pembina, IV\/a<\/strong><\/span><\/p>\n

E-mail :\u00a0hasbiyasin [at] live [dot] undip [dot] ac [dot] id<\/strong><\/span><\/p>\n

Kepakaran : Komputasi Statistika, Statistika Spasial<\/strong>
<\/span><\/p>\n

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Dr. Hasbi Yasin, S.Si., M.Si. NIP :\u00a0198212172006041003NIDN :\u00a00017128201NUPTK : 7549760661130193Jabatan : Lektor KepalaPangkat, Golongan : Pembina, IV\/aE-mail :\u00a0hasbiyasin [at] live [dot] undip [dot] ac [dot] idKepakaran : Komputasi Statistika, Statistika Spasial<\/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_0233\"<\/a>\r\n

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

A. Identitas Diri<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Nama Lengkap<\/td>\r\n:<\/td>\r\n\u00a0Hasbi Yasin, S.Si, M.Si<\/td>\r\n<\/tr>\r\n
\u00a0Jabatan Fungsional<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Lektor<\/td>\r\n<\/tr>\r\n
\u00a0Jabatan Struktural<\/td>\r\n\u00a0:<\/td>\r\n\u00a0-<\/td>\r\n<\/tr>\r\n
\u00a0NIP<\/td>\r\n\u00a0:<\/td>\r\n\u00a019821217 200604 1 003<\/td>\r\n<\/tr>\r\n
\u00a0NIDN \/ SERDOS<\/td>\r\n\u00a0:<\/td>\r\n\u00a00017128201<\/td>\r\n<\/tr>\r\n
\u00a0Tempat Tanggal Lahir<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Pekalongan, 17 Desember 1982<\/td>\r\n<\/tr>\r\n
\u00a0Alamat Kantor<\/td>\r\n\u00a0:<\/td>\r\nDepartemen Statistika\r\nGedung F Lantai 3\r\nFakultas Sains dan Matematika\r\nUniversitas Diponegoro\r\nJl. Prof. Sudarto, SH. Semarang 50275<\/td>\r\n<\/tr>\r\n
\u00a0Alamat Email<\/td>\r\n\u00a0:<\/td>\r\n\u00a0hasbiyasin@live.undip.ac.id<\/a><\/td>\r\n<\/tr>\r\n
\u00a0Lulusan yang Telah Dihasilkan<\/td>\r\n\u00a0:<\/td>\r\n\u00a0S-1= 30 Orang<\/td>\r\n<\/tr>\r\n
\u00a0Mata Kuliah yang diampu<\/td>\r\n\u00a0:<\/td>\r\n\r\n
    \r\n\t
  1. Komputasi Statistika<\/li>\r\n\t
  2. Data Mining<\/li>\r\n\t
  3. Teknik Simulasi<\/li>\r\n\t
  4. Metode Numerik<\/li>\r\n\t
  5. Jaringan Syaraf Tiruan<\/li>\r\n\t
  6. Statistika Spatial<\/li>\r\n\t
  7. Teori Antrian<\/li>\r\n\t
  8. Komputasi Statistika Lanjut<\/li>\r\n<\/ol>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nB. Riwayat Pendidikan\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    Jenjang<\/strong><\/td>\r\nS1<\/strong><\/td>\r\nS2<\/strong><\/td>\r\nS3<\/strong><\/td>\r\n<\/tr>\r\n
    Nama Perguruan Tinggi<\/strong><\/td>\r\n\u00a0Undip<\/td>\r\n\u00a0ITS<\/td>\r\n\u00a0-<\/td>\r\n<\/tr>\r\n
    Bidang Ilmu<\/strong><\/td>\r\n\u00a0Matematika<\/td>\r\nStatistika<\/td>\r\n<\/td>\r\n<\/tr>\r\n
    Tahun Masuk - Lulus<\/strong><\/td>\r\n\u00a02001-2005<\/td>\r\n\u00a02009-2019<\/td>\r\n<\/td>\r\n<\/tr>\r\n
    Judul Skripsi \/ Tesis \/ Disertasi<\/strong><\/td>\r\n\u00a0Estimasi Regresi Non Parametrik dengan Metode Wavelet Shrinkage pada Model Rancangan Tetap<\/td>\r\nModel Mixed Geographically Weighted Regression<\/em> (StudiKasus: Persentase Rumah Tangga Miskin di Kabupaten Mojokerto Tahun 2008)<\/td>\r\n<\/td>\r\n<\/tr>\r\n
    Nama Pembimbing \/ Promotor<\/strong><\/td>\r\n\r\n
      \r\n\t
    1. Dra. Suparti, M.Si.<\/li>\r\n<\/ol>\r\n2. Drs. Rukun Santoso, M.Si.<\/td>\r\n
    		Dr. Purhadi, M.Sc.<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nC. Pengalaman Penelitian dalam 5 tahun Terakhir\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\nJudul Penelitian<\/strong><\/td>\r\n\u00a0Sumber Pendanaan<\/strong><\/td>\r\nJumlah Dana (Juta Rp)<\/strong><\/td>\r\n<\/tr>\r\n
    1.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Pemodelan Volatilitas Untuk Penghitungan Value at Risk (VaR) Saham LQ-45 Menggunakan Adaptive Neuro Fuzzy Inference System<\/em> (ANFIS) tahun kedua<\/td>\r\n\u00a0Penelitian Fundamental DIKTI<\/td>\r\n\u00a052,50<\/td>\r\n<\/tr>\r\n
    2.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Multiple Kernel Support Vector Regression<\/em> (MKSVR) dalam Pemodelan Volatilitas untuk Penghitungan Value At Risk<\/em> (VaR)<\/td>\r\n\u00a0Penelitian Hibah Bersaing DIKTI<\/td>\r\n\u00a055<\/td>\r\n<\/tr>\r\n
    3.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Analisis Data Inflasi di Indonesia pada Sektor Transportasi, Komunikasi dan Jasa Keuangan Menggunakan Model ARIMA Box-Jenkins dan Regresi Polinomial Lokal<\/td>\r\n\u00a0DIPA FSM Undip<\/td>\r\n\u00a07,5<\/td>\r\n<\/tr>\r\n
    4.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Deteksi Dini Penyakit Diabetes Mellitus<\/em> Menggunakan Aplikasi Graphical User\u00a0 Interface <\/em>Neural Network<\/em> (GUI NN)<\/td>\r\n\u00a0DIPA FSM Undip<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    5.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pemodelan Unsur-Unsur Pencemar Udara Menggunakan Geographically And Temporally <\/em>\u00a0Weighted Multivariate Regressions<\/em> (GTWMR)<\/td>\r\n\u00a0Penelitian Fundamental DRPM Dikti<\/td>\r\n\u00a050<\/td>\r\n<\/tr>\r\n
    6.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Multiple Kernel Support Vector Regression<\/em> (MKSVR) dalam Pemodelan Volatilitas untuk Penghitungan Value At Risk<\/em> (VaR)<\/td>\r\n\u00a0Penelitian Hibah Bersaing DIKTI<\/td>\r\n\u00a050<\/td>\r\n<\/tr>\r\n
    7.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Analisis Klasifikasi Risiko Kredit Menggunakan Weighted Probabilistic Neural Network<\/em> (WPNN)<\/td>\r\n\u00a0DIPA FSM Undip<\/td>\r\n\u00a08,50<\/td>\r\n<\/tr>\r\n
    8.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pengembangan Teknologi Material Maju Ramah Lingkungan dari Mineral Alam untuk Pengolahan Air Limbah Organik Terintegrasi (Studi Kasus: Proses Bioetanol dari Tandan Kosong Kelapa Sawit)<\/td>\r\nINSINAS Ristek Dikti<\/td>\r\n\u00a0120<\/td>\r\n<\/tr>\r\n
    9.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pengembangan Model Distribusi Pangan Sebagai Upaya Penguatan Stabilitas Pasokan dan Harga PanganProfessorship PNBP Undip<\/td>\r\n\u00a0Professorship PNBP Undip<\/td>\r\n\u00a080<\/td>\r\n<\/tr>\r\n
    10.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pemrograman Graphical User Interface untuk Model Wavelet Neural Network pada Data Time Series<\/td>\r\n\u00a0DIPA FSM Undip<\/td>\r\n\u00a025<\/td>\r\n<\/tr>\r\n
    11.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Pengembangan Teknologi Material Maju Ramah Lingkungan dari Mineral Alam untuk Pengolahan Air Limbah Organik Terintegrasi (Studi Kasus: Proses Bioetanol dari Tandan Kosong Kelapa Sawit)<\/td>\r\n\u00a0INSINAS Pratama Individu Ristek Dikti<\/td>\r\n\u00a0120<\/td>\r\n<\/tr>\r\n
    12.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Pengembangan Model Distribusi Pangan Sebagai Upaya Penguatan Stabilitas Pasokan dan Harga Pangan<\/td>\r\n\u00a0Professorship PNBP Undip<\/td>\r\n\u00a075<\/td>\r\n<\/tr>\r\n
    13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Pemodelan Spatio Temporal Unsur-unsur Pencemar Udara Menggunakan Mixed Geographically and Temporally Weighted Multivariate Regressions (MGTWMR)<\/td>\r\n\u00a0PTUPT Kemenristek Dikti<\/td>\r\n\u00a087,5<\/td>\r\n<\/tr>\r\n
    14.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Optimasi Heuristic pada Model Wavelet Neural Network untuk Prediksi Time Series<\/td>\r\n\u00a0DIPA Undip<\/td>\r\n\u00a040<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nD. Pengalaman Pengabdian Kepada Masyarakat 5 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\nJudul Pengabdian Kepada Masyarakat<\/strong><\/td>\r\n\u00a0Sumber Pendanaan<\/strong><\/td>\r\nJumlah Dana (Juta Rp)<\/strong><\/td>\r\n<\/tr>\r\n
    1.<\/td>\r\n\u00a02015<\/td>\r\nPelatihan Metode Klasifikasi Menggunakan Support Vector Machine dengan Matlab<\/td>\r\n\u00a0DIPA PNBP FSM Undip<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    2.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Pelatihan GUI Matlab untuk Pemodelan Vector Autoregresive (VAR)<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    3.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Pelatihan Pemodelan Vector Autoregressive (VAR ) Menggunakan eviews<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    4.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Pelatihan Eviews untuk Pemodelan Generalized Space-Time Autoregressive (GSTAR)<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    5.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Pelatihan Teknik Jarimatika untuk Guru-guru RA se Kecamatan Banyumanik<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    6.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0IbPE Kerajinan Tenun Troso di Kabupaten Jepara Jawa Tengah<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a085<\/td>\r\n<\/tr>\r\n
    7.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Analisa teknikal dan fundamental pergerakan harga saham dengan simulasi Yahoo! Finance<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    8.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Algoritma genetika pada pemodelan Statistika dengan Program Matlab<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    9.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pelatihan Spasial Data Panel dengan GUI Matlab<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    10.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Pelatihan Optimalisasi Fitur MS Word untuk Penulisan Karya Ilmiah<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
    11.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0IbPE Kerajinan Tenun Troso di Kabupaten Jepara Jawa Tengah<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a090<\/td>\r\n<\/tr>\r\n
    12.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0IbPUD Kerajinan Batik Bakaran di Kabupaten Pati Jawa Tengah<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a090<\/td>\r\n<\/tr>\r\n
    13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Pembuatan Basis Data Kependudukan untuk Mendukung Program Desa Digital bagi Tim Penggerak PKK di Kelurahan Meteseh, Kec. Tembalang Kota Semarang<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a08<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nE. Pengalaman Penulisan Artikel Ilmiah dalam Jurnal dalam 5 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\n\u00a0Judul Artikel<\/strong><\/td>\r\nVolume \/ Nomor \/ Tahun<\/strong><\/td>\r\nNama Jurnal<\/strong><\/td>\r\n<\/tr>\r\n
    \u00a01.<\/td>\r\n\u00a0Prediction of Weekly Rainfall in Semarang City Use Support Vector Regression (SVR) with Quadratic Loss Function<\/td>\r\n\u00a0Vol. 9 No.1, Juli 2015<\/td>\r\n\u00a0International Journal of Science and Engineering (IJSE), ISSN: 1086-5023<\/td>\r\n<\/tr>\r\n
    \u00a02.<\/td>\r\n\u00a0Pemodelan Tinggi Pasang Air Laut Di Kota Semarang Dengan Menggunakan Maximal Overlap Discrete Wavelet Transform (MODWT)<\/td>\r\n\u00a0Vol. 2 No.2 Juni 2015<\/td>\r\n\u00a0Jurnal Meteorologi Klimatologi dan Geofisika, ISSN: 2355-7206<\/td>\r\n<\/tr>\r\n
    \u00a03.<\/td>\r\n\u00a0Constructing Vollatility Model of Portofolio Return by Using GARCH<\/td>\r\n\u00a0Vol. 12 No. 2 2016<\/td>\r\n\u00a0Global Journal of Pure and Applied Mathematics (GJPAM) ISSN: 0973-1768<\/td>\r\n<\/tr>\r\n
    \u00a04.<\/td>\r\n\u00a0Tmes Series Analysis Using Copula Gauss and AR(1)-N.GARCH(1,1)<\/td>\r\n\u00a0Vol. 9 No.1 Juni 2016<\/td>\r\n\u00a0Media Statistika ISSN No.1979-3693<\/td>\r\n<\/tr>\r\n
    \u00a05.<\/td>\r\n\u00a0The Shift Invariant Discrete Wavelet Transform (SIDWT) with Inflation Time Series Application<\/td>\r\n\u00a0Vol. 8 No.4 Agustus 2016<\/td>\r\n\u00a0Journal of Mathematics Research; E-ISSN 1916-9809<\/td>\r\n<\/tr>\r\n
    \u00a06.<\/td>\r\n\u00a0Modeling of Air Pollutants SO2 Elements using Geographically Weighted Regression (GWR), Geographically Temporal Weighted Regression (GTWR) and Mixed Geographically Temporal Weighted Regression (MGTWR)<\/td>\r\n\u00a0Vol. 11 No. 13 Juli 2016<\/td>\r\n\u00a0ARPN Journal of Engineering and Applied Sciences; ISSN 1819-6608<\/td>\r\n<\/tr>\r\n
    \u00a07.<\/td>\r\n\u00a0Effects of\u00a0 Mediators for Ligninolytic Enzyme Production and Kinetic Studies on Degradation of Pentachlorobenzene by Trametes versicolor<\/em> U80<\/td>\r\n\u00a0Vol. 227(9), 2016, DOI: 10.1007\/s11270-016-3006-9<\/td>\r\n\u00a0Water, Air, Soil Pollution; ISSN:<\/td>\r\n<\/tr>\r\n
    \u00a08.<\/td>\r\n\u00a0Metode Permukaan Respon dan Aplikasinya pada Pengolahan Air Limbah Lindi Hitam dengan Menggunakan Reaksi Fenton<\/td>\r\n\u00a0Vol. 8 No. 1 Tahun 2017<\/td>\r\n\u00a0Jurnal Riset Teknologi Pencegahan Pencemaran Industri (JRTPPI)<\/td>\r\n<\/tr>\r\n
    \u00a09.<\/td>\r\n\u00a0Peramalan Crude Palm Oil (CPO) Menggunakan Support Vector Regression Kernel Radial Basis<\/td>\r\n\u00a0Vol. 7 No. 1 Tahun 2017<\/td>\r\nJurnal Matematika\r\n\r\nISSN: 1693-1394<\/td>\r\n<\/tr>\r\n
    \u00a010.<\/td>\r\n\u00a0Klasifikasi Data Berat Bayi Lahir Menggunakan Weighted Probabilistic Neural Network (WPNN) (Studi Kasus di Rumah Sakit Islam Sultan Agung Semarang)<\/td>\r\n\u00a0Vol. 10 No. 1 Juni 2017<\/td>\r\n\u00a0Media Statistika ISSN No.2477-0647<\/td>\r\n<\/tr>\r\n
    \u00a011.<\/td>\r\n\u00a0Mixed Geographically Weighted Regression Using Adaptive Bandwidth To Modeling Of Air Polluter Standard Index<\/td>\r\n\u00a0Vol. 12 No. 15 Agustus 2017<\/td>\r\n\u00a0ARPN Journal of Engineering and Applied Sciences; ISSN 1819-6608<\/td>\r\n<\/tr>\r\n
    \u00a012.<\/td>\r\n\u00a0Modeling of Air Polluter NO2<\/sub> and SO2<\/sub> Using Geographically Weighted Multivariate Regressions (GWMR)<\/td>\r\n\u00a0Vol. 23, No. 4, April 2017, pp. 6545\u20136547<\/td>\r\n\u00a0Advanced Science Letter (ASL) p-ISSN:1936-6612; e-ISSN:1936-7317<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nF. Pengalaman Penyampaian Makalah Secara Oral pada Pertemuan \/ Seminar Ilmiah dalam 5 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\nNama Pertemuan \/ Seminar Ilmiah<\/strong><\/td>\r\n\u00a0Judul Artikel Ilmiah<\/strong><\/td>\r\n\u00a0Waktu dan Tempat<\/strong><\/td>\r\n<\/tr>\r\n
    \u00a01<\/td>\r\n\u00a0Seminar Nasional Statistika Undip 2013<\/td>\r\n\u00a0Prediksi Curah Hujan di Kota Semarang dengan Metode Kalman Filter<\/td>\r\n\u00a014 September 2013 di Gedung Prof. Soedarto, S.H. Tembalang Semarang<\/td>\r\n<\/tr>\r\n
    \u00a02<\/td>\r\n\u00a0Konferensi Nasional Matematika (KNM) XXVII- 2014<\/td>\r\n\u00a0Pemodelan Volatilitas Saham Menggunakan Jaringan Syaraf Tiruan dan Algoritma Genetika<\/td>\r\n\u00a011 - 14 Juni 2014, ITS, Surabaya<\/td>\r\n<\/tr>\r\n
    \u00a03<\/td>\r\n\u00a0Seminar Nasional Ilmu Komputer UNNES 2014<\/td>\r\n\u00a0Pemodelan General Regression Neural Network<\/em> (GRNN) dengan Peubah Input Data Return untuk Peramalan Indeks Hangseng<\/td>\r\n\u00a011 Oktober 2014, Unnes Semarang<\/td>\r\n<\/tr>\r\n
    \u00a04<\/td>\r\n\u00a0Seminar Internasional 4th<\/sup> ISNPINSA<\/td>\r\n\u00a0Prediction of Weekly Rainfall in Semarang City use Support Vector Regressions<\/td>\r\n\u00a028 Oktober 2014 di Hotel Patra Jasa Semarang<\/td>\r\n<\/tr>\r\n
    \u00a05<\/td>\r\n\u00a0Seminar Nasional Statistika IV Unpad<\/td>\r\n\u00a0Prediksi Produksi Gas Bumi dengan General Regressions Neural Network <\/em>(GRNN)<\/td>\r\n\u00a01 November 2014 di Kampus Jatinangor Unpad<\/td>\r\n<\/tr>\r\n
    \u00a06<\/td>\r\n\u00a0Seminar Meteorologi dan Klimatologi Hari Meteorologi Dunia ke-65<\/td>\r\n\u00a0Pemodelan Tinggi Pasang Air Laut di Kota Semarang dengan Menggunakan Maximal Overlap Discrete Wavelet Transform<\/em> (MODWT)<\/td>\r\n27-28 Maret 2015\r\n\r\nKantor BMKG Jakarta<\/td>\r\n<\/tr>\r\n
    \u00a07<\/td>\r\n\u00a0Seminar Internasional 5th<\/sup> ISPINSA FSM Undip<\/td>\r\n\u00a0Volatility Modeling Using Hybrid Autoregressive Conditional Heteroskedasticity (ARCH) \u2013 Support Vector Regression (SVR)<\/td>\r\n\u00a07-8 Oktober 2015 di Semarang<\/td>\r\n<\/tr>\r\n
    \u00a08<\/td>\r\n\u00a0Seminar Nasional Pendidikan Matematika Unissula<\/td>\r\n\u00a0Analisis Data Inflasi di Indonesia pada sektor transportasi, komunikais dan jasa keuangan menggunakan ARIMA dengan Outlier<\/td>\r\n\u00a019 Maret 2016 di Unissula Semarang<\/td>\r\n<\/tr>\r\n
    \u00a09<\/td>\r\n\u00a0Seminar Internasional 6th<\/sup> ISPINSA FSM Undip<\/td>\r\n\u00a0Modeling of Air Polluter using Mixed Geographically Weighted Multivariate Regressions (MGWMR)<\/td>\r\n\u00a05 \u2013 6 Oktober 2016, Hotel Grand Candi Semarang<\/td>\r\n<\/tr>\r\n
    \u00a010<\/td>\r\n\u00a0Seminar Nasional VARIANSI UNM Makassar<\/td>\r\n\u00a0Pemodelan Unsur Pencemar Udara NO2<\/sub> Menggunakan Geographically <\/em>and Temporally Weighted Regression<\/em><\/td>\r\n\u00a010 \u2013 11 Oktober 2016, Grand Asia Hotel Makassar<\/td>\r\n<\/tr>\r\n
    \u00a011<\/td>\r\n\u00a0Seminar Nasional VARIANSI UNM Makassar<\/td>\r\n\u00a0Klasifikasi Risiko Kredit Menggunakan Weighted Probabilistic Neural Network<\/em> (WPNN)<\/td>\r\n\u00a010 \u2013 11 Oktober 2016, Grand Asia Hotel Makassar<\/td>\r\n<\/tr>\r\n
    \u00a012<\/td>\r\n\u00a0International Joint Conference on Science and Technology (IJCST) 2016<\/td>\r\n\u00a0Modeling of Air Polluter Standard Index Based on Geographically Weighted Regression Approach Using Adaptive Bandwidth<\/td>\r\n\u00a012 \u2013 13 October 2016, Bali, Indonesia<\/td>\r\n<\/tr>\r\n
    \u00a013<\/td>\r\n\u00a0International Conference on Actuarial Science and Statistics (ICASS) 2016<\/td>\r\nStock Price Modeling using Localized Multiple Kernel Support Vector Regression (LMKSVR)<\/td>\r\n\u00a05-6 Desember 2016, ITB Jatinangor, Jawa Barat<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nG. Pengalaman Penulisan Buku dalam 5 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\nJudul Buku\u00a0<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\nJumlah Halaman\u00a0<\/strong><\/td>\r\nPenerbit<\/strong><\/td>\r\n<\/tr>\r\n
    \u00a01.<\/td>\r\n\u00a0Geographically Weighted Regression (GWR) Sebuah Pendekatan Rgresi Geografis<\/td>\r\n\u00a02017<\/td>\r\n164<\/td>\r\nMobius, Yogyakarta<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nH. Pengalaman Perolehan HKI dalam 5-10 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\n\u00a0Judul \/ Tema HKI<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\nJenis\u00a0<\/strong><\/td>\r\nNomor P\/ID\u00a0<\/strong><\/td>\r\n<\/tr>\r\n
    1.<\/td>\r\nMetode Penentuan Arsitektur Optimal untuk Model Kombinasi Wavelet dan Jaringan Syaraf Tiruan<\/td>\r\n2016<\/td>\r\n\u00a0Paten<\/td>\r\nTerdaftar:\r\n\r\nNo. P00201606681<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nI. Pengalaman Merumuskan Kebijakan Publik \/ Rekayasa Sosial Lainnya dalam 5 Tahun Terakhir\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/strong><\/td>\r\nJudul \/ Tema \/ Jenis Rekayasa Sosial lainnya yang telah diterapkan<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\nTempat Penerapan<\/strong><\/td>\r\nRespons Masyarakat<\/strong><\/td>\r\n<\/tr>\r\n
    1.<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nJ. Penghargaan yang Pernah diraih dalam 10 Tahun Terakhir (Dari Pemerintah, Asosiasi atau Institusi Lainnya)\r\n\r\n\r\n\r\n\r\n
    \u00a0No.<\/td>\r\n\u00a0Jenis Penghargaan<\/strong><\/td>\r\nInstitusi Pemberi Penghargaan\u00a0<\/strong><\/td>\r\nTahun<\/strong><\/td>\r\n<\/tr>\r\n
    \u00a01.<\/td>\r\n\u00a0Satyalancana Karya Satya 10 Tahun<\/td>\r\n\u00a0Presiden RI<\/td>\r\n2017<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","_et_gb_content_width":"","footnotes":""},"class_list":["post-923","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/923","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=923"}],"version-history":[{"count":24,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/923\/revisions"}],"predecessor-version":[{"id":6333,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/923\/revisions\/6333"}],"wp:attachment":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/media?parent=923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}