{"id":2257,"date":"2019-10-03T10:38:58","date_gmt":"2019-10-03T03:38:58","guid":{"rendered":"http:\/\/stat.fsm.undip.ac.id\/v1\/?page_id=2257"},"modified":"2025-07-30T08:16:41","modified_gmt":"2025-07-30T01:16:41","slug":"dr-hasbi-yasin-s-si-m-si-e","status":"publish","type":"page","link":"https:\/\/stat.fsm.undip.ac.id\/v1\/en\/dr-hasbi-yasin-s-si-m-si-e\/","title":{"rendered":"Dr. Hasbi Yasin, S.Si., M.Si. (e)"},"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

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

Expertise : Computational Statistics, Spatial Statistics<\/strong>
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[\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Dr. Hasbi Yasin, S.Si., M.Si. NIP :\u00a0198212172006041003 NIDN :\u00a00017128201 E-mail :\u00a0hasbiyasin [at] live [dot] undip [dot] ac [dot] id Expertise : Computational Statistics, Spatial Statistics<\/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":"\"\"<\/a>\r\n\r\nCURRICULUM VITAE<\/strong>\r\n

    \r\n \t
  1. Profile<\/li>\r\n<\/ol>\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
    Full Name<\/td>\r\n:<\/td>\r\n\u00a0Hasbi Yasin, S.Si, M.Si<\/td>\r\n<\/tr>\r\n
    \u00a0Functional Position<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Lector<\/td>\r\n<\/tr>\r\n
    \u00a0Structural Position<\/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
    \u00a0Place and Date of Birth<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Pekalongan, 17 December 1982<\/td>\r\n<\/tr>\r\n
    \u00a0Office Address<\/td>\r\n\u00a0:<\/td>\r\nStatistics Department\r\nBuilding F, 3rd Floor\r\nFaculty of Science and Mathematics\r\nDiponegoro University\r\nJl. Prof. Sudarto, SH. Semarang 50275<\/td>\r\n<\/tr>\r\n
    \u00a0Email Address<\/td>\r\n\u00a0:<\/td>\r\n\u00a0hasbiyasin@live.undip.ac.id<\/a><\/td>\r\n<\/tr>\r\n
    \u00a0Graduates Produced<\/td>\r\n\u00a0:<\/td>\r\n\u00a0S-1= 30 Persons<\/td>\r\n<\/tr>\r\n
    \u00a0Courses Taught<\/td>\r\n\u00a0:<\/td>\r\n\r\n
      \r\n \t
    1. Statistical Computing<\/li>\r\n \t
    2. Data Mining<\/li>\r\n \t
    3. Simulation Technique<\/li>\r\n \t
    4. Numerical Method<\/li>\r\n \t
    5. Artificial Neural Network<\/li>\r\n \t
    6. Statistics Spatial<\/li>\r\n \t
    7. Queue Theory<\/li>\r\n \t
    8. Advanced Statistical Computing<\/li>\r\n<\/ol>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
        \r\n \t
      1. Educational Background<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
        Degree<\/strong><\/td>\r\nS1<\/strong><\/td>\r\nS2<\/strong><\/td>\r\nS3<\/strong><\/td>\r\n<\/tr>\r\n
        University<\/strong><\/td>\r\n\u00a0Undip<\/td>\r\n\u00a0ITS<\/td>\r\n\u00a0-<\/td>\r\n<\/tr>\r\n
        Department<\/strong><\/td>\r\n\u00a0Mathematics<\/td>\r\nStatistics<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
        Year of Entry - Graduation<\/strong><\/td>\r\n\u00a02001-2005<\/td>\r\n\u00a02009-2019<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
        Title of Thesis \/ Dissertation<\/strong><\/td>\r\n\u00a0Estimation of Non-Parametric Regression using Wavelet Method Shrinkage on Permanent Design Models<\/td>\r\nMixed Geographically Weighted Regression Model (Case Study: Percentage of Poor Households in Mojokerto in 2008)<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
        Name of Supervisors<\/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\u00a0<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
          \r\n \t
        1. Research Experiences in the Last 5 Years<\/li>\r\n<\/ol>\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\nYear<\/strong><\/td>\r\nResearch Title<\/strong><\/td>\r\n\u00a0Funding Sources<\/strong><\/td>\r\nTotal Fund (in Million Rp)<\/strong><\/td>\r\n<\/tr>\r\n
          1.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Volatility Modeling for Calculating Value at Risk (VaR) of LQ-45 Shares Using Adaptive Neuro Fuzzy Inference System (ANFIS) (Year 2)<\/td>\r\n\u00a0Fundamental Research 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 (MKSVR) in Volatility Modeling for Calculating Value At Risk (VaR))<\/td>\r\n\u00a0Competitive Research Grant DIKTI<\/td>\r\n\u00a055<\/td>\r\n<\/tr>\r\n
          3.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia on Transportation, Communication and Financial Service Sectors Using the ARIMA Box-Jenkins and Local Polynomial Regression Models<\/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\u00a0Early Detection of Diabetes Mellitus Using Graphical User Interface Neural Network (GUI NN) Application<\/td>\r\n\u00a0DIPA FSM Undip<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
          5.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Modeling of Air Pollutant Elements Using Geographically and Temporally Weighted Multivariate Regressions (GTWMR)<\/td>\r\n\u00a0Fundamental Research 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 (MKSVR) in Volatility Modeling for Calculating Value At Risk (VaR))<\/td>\r\n\u00a0Competitive Research Grant DIKTI<\/td>\r\n\u00a050<\/td>\r\n<\/tr>\r\n
          7.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Analisis Credit Risk Classification Using Weighted Probabilistic Neural Network (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\u00a0Development of Advanced Environmentally Friendly Material Technology from Natural Minerals for Integrated Organic Wastewater Processing (Case Study: Bioethanol Process from Empty Coconut Bunches)<\/td>\r\nINSINAS Ristek Dikti<\/td>\r\n\u00a0120<\/td>\r\n<\/tr>\r\n
          9.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Development of Food Distribution Model as an Attempt to Strengthen the Stability of Food Supply and PriceProfessorship 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\u00a0Programming Graphical User Interface for Wavelet Neural Network Model in 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\u00a0Development of Advanced Environmentally Friendly Material Technology from Natural Minerals for Integrated Organic Wastewater Processing (Case Study: Bioethanol Process from Empty Coconut Bunches)<\/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\u00a0Development of Food Distribution Model as an Attempt to Strengthen the Stability of Food Supply and Price<\/td>\r\n\u00a0Professorship PNBP Undip<\/td>\r\n\u00a075<\/td>\r\n<\/tr>\r\n
          13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Spatio Temporal Modeling of Air Pollutant Elements using 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\u00a0Heuristic Optimization of the Wavelet Neural Network Model for Time Series Prediction<\/td>\r\n\u00a0DIPA Undip<\/td>\r\n\u00a040<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
            \r\n \t
          1. Community Service Experiences in the Last 5 Years<\/li>\r\n<\/ol>\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\nYear<\/strong><\/td>\r\nTitle of Community Service<\/strong><\/td>\r\n\u00a0Funding Sources<\/strong><\/td>\r\nTotal Fund (in Million Rp)<\/strong><\/td>\r\n<\/tr>\r\n
            1.<\/td>\r\n\u00a02015<\/td>\r\nClassification Method Training Using Support Vector Machine with 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\u00a0Matlab GUI Training for Vector Autoregresive (VAR) Modeling<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            3.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Vector Autoregressive (VAR) Modeling Training Using eviews<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            4.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Eviews Training for Generalized Space-Time Autoregressive (GSTAR) Modeling<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            5.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Jarimatika<\/em> (Arithmetics using Quick Finger Counting) Technique Training for RA Teachers in Banyumanik District<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            6.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0IbPE for Troso<\/em> Weaving Craft in Jepara Regency, Central Java<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a085<\/td>\r\n<\/tr>\r\n
            7.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Technical and Fundamental Analysis of Stock Price Movements using Yahoo! Finance Simulation<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            8.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Genetic Algorithms in Statistical Modeling with the MATLAB Program<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            9.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Spatial Data Panel Training using Matlab GUI<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            10.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0MS Word Feature Optimization Training for Writing Scientific Papers<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
            11.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0IbPE for Troso<\/em> Weaving Craft in Jepara Regency, Central Java<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a090<\/td>\r\n<\/tr>\r\n
            12.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0IbPUD of Bakaran<\/em> Batik Craft in Pati Regency, Central Java<\/td>\r\n\u00a0DRPM Dikti<\/td>\r\n\u00a090<\/td>\r\n<\/tr>\r\n
            13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0The Making of Population Database to Support the Digital Village Program for PKK Support Team in Meteseh, Tembalang, Semarang<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a08<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
              \r\n \t
            1. Scientific Journals Writing Experiences in the Last 5 Years<\/li>\r\n<\/ol>\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\u00a0Article Title<\/strong><\/td>\r\nVolume \/ Number \/ Year<\/strong><\/td>\r\nJournal Title<\/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, July 2015<\/td>\r\n\u00a0International Journal of Science and Engineering (IJSE), ISSN: 1086-5023<\/td>\r\n<\/tr>\r\n
              \u00a02.<\/td>\r\n\u00a0Modeling Sea Tide Height in Semarang City using Maximal Overlap Discrete Wavelet Transform (MODWT)<\/td>\r\n\u00a0Vol. 2 No.2 June 2015<\/td>\r\n\u00a0Journal of Meteorology, Climatology and Geophysics, 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 June 2016<\/td>\r\n\u00a0Statistics Media 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 August 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 July 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 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\u00a0Surface Response Method and Its Application in Black Leachate Wastewater Treatment Using the Fenton Reaction<\/td>\r\n\u00a0Vol. 8 No. 1 Year 2017<\/td>\r\nIndustrial Pollution Prevention Technology Research Journal (JRTPPI)<\/td>\r\n<\/tr>\r\n
              \u00a09.<\/td>\r\n\u00a0Crude Palm Oil (CPO) Forecasting Using Support Vector Regression Kernel Radial Based<\/td>\r\n\u00a0Vol. 7 No. 1 Year 2017<\/td>\r\nMathematics Journal\r\n\r\nISSN: 1693-1394<\/td>\r\n<\/tr>\r\n
              \u00a010.<\/td>\r\n\u00a0Data Classification of Babies\u2019 Birth-Weight Using Weighted Probabilistic Neural Network (WPNN) (Case Study at Sultan Agung Islamic Hospital Semarang)<\/td>\r\n\u00a0Vol. 10 No. 1 June 2017<\/td>\r\n\u00a0Statistics Media 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 August 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\n
                \r\n \t
              1. Experiences in Presenting Papers Orally in Scientific Meetings \/ Seminars in the Last 5 Years<\/li>\r\n<\/ol>\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\nTitle of the Scientific Meeting \/ Seminar<\/strong><\/td>\r\n\u00a0Scientific Article Title<\/strong><\/td>\r\n\u00a0Time and Place<\/strong><\/td>\r\n<\/tr>\r\n
                \u00a01<\/td>\r\n\u00a0Statistics National Seminar Undip 2013<\/td>\r\n\u00a0Rainfall Prediction in Semarang City using the Kalman Filter Method<\/td>\r\n\u00a014 September 2013 at Prof. Soedarto Building, S.H. Tembalang Semarang<\/td>\r\n<\/tr>\r\n
                \u00a02<\/td>\r\n\u00a0Mathematics National Conference (KNM) XXVII- 2014<\/td>\r\n\u00a0Modeling Stock Volatility Using Artificial Neural Network and Genetic Algorithms<\/td>\r\n\u00a011 - 14 June 2014, ITS, Surabaya<\/td>\r\n<\/tr>\r\n
                \u00a03<\/td>\r\n\u00a0Computer Science National Seminar UNNES 2014<\/td>\r\n\u00a0General Regression Neural Network (GRNN) Modeling with Input Data Return Variables for Hangseng Index Forecasting<\/td>\r\n\u00a011 October 2014, Unnes Semarang<\/td>\r\n<\/tr>\r\n
                \u00a04<\/td>\r\n\u00a0International Seminar 4th<\/sup> ISNPINSA<\/td>\r\n\u00a0Prediction of Weekly Rainfall in Semarang City use Support Vector Regressions<\/td>\r\n\u00a028 October 2014 at Patra Jasa Hotel Semarang<\/td>\r\n<\/tr>\r\n
                \u00a05<\/td>\r\n\u00a0Statistics National Seminar IV Unpad<\/td>\r\n\u00a0Prediction of Natural Gas Production using General Regression Neural Network (GRNN)<\/td>\r\n\u00a01 November 2014 at Unpad Jatinangor Campus<\/td>\r\n<\/tr>\r\n
                \u00a06<\/td>\r\n\u00a0Meteorology and Climatology Seminar, 65th World Meteorological Day<\/td>\r\n\u00a0Modeling Sea Tide Height in Semarang City using Maximal Overlap Discrete Wavelet Transform (MODWT)<\/td>\r\n27-28 March 2015\r\n\r\nBMKG Office, Jakarta<\/td>\r\n<\/tr>\r\n
                \u00a07<\/td>\r\n\u00a05th ISPINSA FSM Undip International Seminar<\/td>\r\n\u00a0Volatility Modeling Using Hybrid Autoregressive Conditional Heteroskedasticity (ARCH) \u2013 Support Vector Regression (SVR)<\/td>\r\n\u00a07-8 October 2015 in Semarang<\/td>\r\n<\/tr>\r\n
                \u00a08<\/td>\r\n\u00a0Mathematics Education National Seminar Unissula<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia on transportation, communications and financial service sectors using ARIMA with Outliers<\/td>\r\n\u00a019 March 2016 at Unissula Semarang<\/td>\r\n<\/tr>\r\n
                \u00a09<\/td>\r\n\u00a06th ISPINSA FSM Undip International Seminar<\/td>\r\n\u00a0Modeling of Air Polluter using Mixed Geographically Weighted Multivariate Regressions (MGWMR)<\/td>\r\n\u00a05 \u2013 6 October 2016, Grand Candi Hotel Semarang<\/td>\r\n<\/tr>\r\n
                \u00a010<\/td>\r\n\u00a0National Variance Seminar UNM Makassar<\/td>\r\n\u00a0Modeling of NO2 Air Pollutants Using Geographically and Temporally Weighted Regression<\/td>\r\n\u00a010 \u2013 11 October 2016, Grand Asia Hotel Makassar<\/td>\r\n<\/tr>\r\n
                \u00a011<\/td>\r\n\u00a0National Variance Seminar UNM Makassar<\/td>\r\n\u00a0Credit Risk Classification Using Weighted Probabilistic Neural Network (WPNN)<\/td>\r\n\u00a010 \u2013 11 October 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 December 2016, ITB Jatinangor, West Java<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
                  \r\n \t
                1. Book Writing Experiences in the Last 5 Years<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n
                  \u00a0No.<\/strong><\/td>\r\nBook Title\u00a0<\/strong><\/td>\r\nYear<\/strong><\/td>\r\nNumber of Pages\u00a0<\/strong><\/td>\r\nPublisher<\/strong><\/td>\r\n<\/tr>\r\n
                  \u00a01.<\/td>\r\n\u00a0Geographically Weighted Regression (GWR), A Geographic Regression Approach<\/td>\r\n\u00a02017<\/td>\r\n164<\/td>\r\nMobius, Yogyakarta<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
                    \r\n \t
                  1. Experiences in Receiving HKI in the Last 10 Years<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n
                    \u00a0No.<\/strong><\/td>\r\n\u00a0HKI Title \/ Theme<\/strong><\/td>\r\nYear<\/strong><\/td>\r\nType\u00a0<\/strong><\/td>\r\nP\/ID Number\u00a0<\/strong><\/td>\r\n<\/tr>\r\n
                    1.<\/td>\r\nThe Optimal Architecture Determination Method for the Combination of Wavelet and Artificial Neural Network Models<\/td>\r\n2016<\/td>\r\n\u00a0Patent<\/td>\r\nRegistered:\r\n\r\nNo. P00201606681<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
                      \r\n \t
                    1. Experiences in Formulating Public \/ Other Social Engineering Policies in the Last 5 Years<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n
                      \u00a0No.<\/strong><\/td>\r\nTitle \/ Theme \/ Type of Other Social Engineering that was Applied<\/strong><\/td>\r\nYear<\/strong><\/td>\r\nPlace of Application<\/strong><\/td>\r\nSociety's Response<\/strong><\/td>\r\n<\/tr>\r\n
                      1.<\/td>\r\n\u00a0<\/td>\r\n\u00a0<\/td>\r\n\u00a0<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
                        \r\n \t
                      1. Awards Received in the Last 10 Years (From the Government, Associations or Other Institutions)<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n
                        \u00a0No.<\/td>\r\n\u00a0Type of Award<\/strong><\/td>\r\nAward-Giver Institution\u00a0<\/strong><\/td>\r\nYear<\/strong><\/td>\r\n<\/tr>\r\n
                        \u00a01.<\/td>\r\n\u00a0Satyalancana Karya Satya 10 Years<\/td>\r\n\u00a0President of Republic of Indonesia<\/td>\r\n2017<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","_et_gb_content_width":"","footnotes":""},"class_list":["post-2257","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2257","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=2257"}],"version-history":[{"count":4,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2257\/revisions"}],"predecessor-version":[{"id":6119,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2257\/revisions\/6119"}],"wp:attachment":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/media?parent=2257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}