{"id":2254,"date":"2019-10-03T10:35:29","date_gmt":"2019-10-03T03:35:29","guid":{"rendered":"http:\/\/stat.fsm.undip.ac.id\/v1\/?page_id=2254"},"modified":"2025-07-30T07:34:47","modified_gmt":"2025-07-30T00:34:47","slug":"dra-suparti-m-si-e","status":"publish","type":"page","link":"https:\/\/stat.fsm.undip.ac.id\/v1\/en\/dra-suparti-m-si-e\/","title":{"rendered":"Dra. Suparti, M.Si (e)"},"content":{"rendered":"

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Dra. Suparti, M.Si.<\/h1>\n

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NIP : 196509131990032001<\/strong><\/span><\/p>\n

NIDN : 0013096508<\/strong><\/span><\/p>\n

E-mail : suparti702 [at] gmail [dot] com<\/strong><\/span><\/p>\n

Expertise : Non-Parametric Regression, Wavelet<\/strong><\/span><\/p>\n

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Dra. Suparti, M.Si. NIP : 196509131990032001NIDN : 0013096508E-mail : suparti702 [at] gmail [dot] comExpertise : Non-Parametric Regression, Wavelet<\/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\u00a0Dra.Suparti, M.Si.<\/td>\r\n<\/tr>\r\n
    \u00a0Functional Position<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Head of Lector<\/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\u00a0196509131990032001<\/td>\r\n<\/tr>\r\n
    \u00a0NIDN \/ SERDOS<\/td>\r\n\u00a0:<\/td>\r\n\u00a00013096508<\/td>\r\n<\/tr>\r\n
    \u00a0Place and Date of Birth<\/td>\r\n\u00a0:<\/td>\r\n\u00a0Sragen, 13 September 1965<\/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\u00a0supartisudargo@yahoo.co.id<\/a><\/td>\r\n<\/tr>\r\n
    \u00a0Graduates Produced<\/td>\r\n\u00a0:<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
    \u00a0Courses Taught<\/td>\r\n\u00a0:<\/td>\r\n1. Mathematics Statistics\r\n2. Non-parametric Regression Analysis\r\n3.Wavelet Method\r\n4.Basic Statistics<\/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\u00a0UGM<\/td>\r\n\u00a0-<\/td>\r\n<\/tr>\r\n
      Department<\/strong><\/td>\r\n\u00a0Mathematics<\/td>\r\nMathematics<\/td>\r\n\u00a0-<\/td>\r\n<\/tr>\r\n
      Year of Entry - Graduation<\/strong><\/td>\r\n\u00a01984-1988<\/td>\r\n1996-1999<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
      Title of Thesis \/ Dissertation<\/strong><\/td>\r\n\u00a0Isotonic Regression<\/td>\r\n\u00a0Estimation of Seamless Functions using Wavelet Method<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n
      Name of Supervisors<\/strong><\/td>\r\n\u00a0Drs. Ketut Sudana Tanaya<\/td>\r\nProf. Drs. H. Subanar,Ph.D<\/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
        \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\u00a02012<\/td>\r\n\u00a0Data Analysis of Indonesian Inflation Using the Kernel Regression Model<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a07.5<\/td>\r\n<\/tr>\r\n
        2.<\/td>\r\n\u00a02013<\/td>\r\n\u00a0Characteristics of Regencies \/ Cities in Central Java Based on the Production of Garlic, Shallot, Large Chillies, and Rawit Chillies using Biplot Analysis<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a07.5<\/td>\r\n<\/tr>\r\n
        3.<\/td>\r\n\u00a02014<\/td>\r\n\u00a0Determining the Best Model for Data Analysis on Inflation in Indonesia<\/td>\r\n\u00a0Competitive Grants Dikti<\/td>\r\n\u00a050.225<\/td>\r\n<\/tr>\r\n
        4.<\/td>\r\n\u00a02014<\/td>\r\n\u00a0Volatility Modeling for VaR Calculation Using ANN and Genetic Algorithms<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a07.5<\/td>\r\n<\/tr>\r\n
        5.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Determining the Best Model for Data Analysis of Inflation in Indonesia (Continuation)<\/td>\r\n\u00a0Competitive Grants Dikti<\/td>\r\n\u00a050.50<\/td>\r\n<\/tr>\r\n
        6.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Exploration and Development of Applied Wavelets in the Field of Statistics<\/td>\r\n\u00a0Fundamental Dikti<\/td>\r\n\u00a052.50<\/td>\r\n<\/tr>\r\n
        7.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Analysis of Indonesia\u2019s Inflation Data on Transportation, Communication and Financial Service Sectors Using the Box-Jenkins ARIMA Model and Local Polynomial Regression<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a07.5<\/td>\r\n<\/tr>\r\n
        8.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Modeling Nonparametric Regression for Longitudinal Data with the Local-Spline Truncated Polynomial Method in the Inflation Expenditure Group<\/td>\r\n\u00a0Fundamental Dikti<\/td>\r\n\u00a050.00<\/td>\r\n<\/tr>\r\n
        9.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Model Development of Indonesia\u2019s Inflation on Transportation, Communication and Financial Service Sectors Based on Changes in Fuel Prices using the Hybrid Intervention - B Spline Model<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a050.00<\/td>\r\n<\/tr>\r\n
        10.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Development of ARIMA-ANFIS-Based Hybrid Model for Prediction of Horticultural Crop Production in Central Java<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a050.00<\/td>\r\n<\/tr>\r\n
        11.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Electric Load Modeling in Semarang City Using Local Polynomials and B-Spline<\/td>\r\n\u00a0PNBP MIPA Undip<\/td>\r\n\u00a08.50<\/td>\r\n<\/tr>\r\n
        12.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Nonparametric Regression Modeling for Longitudinal Data using Hybrid Polynomial Local-Spline Truncated and Hybrid Fourier Wavelet methods in the inflation expenditure group<\/td>\r\n\u00a0DRPM DIKTI PTUPT<\/td>\r\n\u00a0100<\/td>\r\n<\/tr>\r\n
        13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Heuristic Optimization of the Wavelet Neural Network Model for Time Series Prediction<\/td>\r\n\u00a0PNBP MIPA 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\u00a02013<\/td>\r\n\u00a0Training on Analysis of Exam Questions using the SPSS Program for Futuhiyyah High School Teachers in Mranggen District<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          2.<\/td>\r\n\u00a02014<\/td>\r\n\u00a0Population Statistics Training Using SPSS Program for Village Officials in Kedungwuni District<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          3.<\/td>\r\n\u00a02014<\/td>\r\n\u00a0Data Mining Training for Statistics<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          4.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Eviews Training for GSTAR Modeling<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          5.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0VAR Modeling Training Using Eviews<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          6.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Matlab GUI Training for VAR Modeling<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          7.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Jarimatika<\/em> (Arithmetics using Quick Finger Counting) Technique Training for RA Teachers in Banyumanik District Semarang<\/td>\r\n\u00a0DIPA MIPA<\/td>\r\n\u00a07.50<\/td>\r\n<\/tr>\r\n
          8.<\/td>\r\n\u00a02015<\/td>\r\n\u00a0Classification Method Training Using SVM with Matlab<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
          9.<\/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
          10.<\/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
          11.<\/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
          12.<\/td>\r\n\u00a02016<\/td>\r\n\u00a0Panel Data Spatial Training with Matlab GUI<\/td>\r\n\u00a0DIPA FSM<\/td>\r\n\u00a010<\/td>\r\n<\/tr>\r\n
          13.<\/td>\r\n\u00a02017<\/td>\r\n\u00a0Data Management of Waste at Sempulur Asri Gedawang<\/em> waste bank<\/td>\r\n\u00a0DIPA PNBP 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
            \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\u00a0Analysis of Factors Affecting the Number of Motor Vehicle Insurance Claims Using the ZIP Regression Model (Case Study at PT Asuransi Sinar Mas<\/em>, Semarang Branch in 2010)<\/td>\r\n\u00a0Vol. 5\/ No. 1\/Th 2012, page 49-61<\/td>\r\n\u00a0\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
            \u00a0Journal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/td>\r\n<\/tr>\r\n
            \u00a02.<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia Using the Spline Regression Model<\/td>\r\n\u00a0Vol. 6\/ No. 1\/Th 2013, page 1-9<\/td>\r\n\u00a0Journal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a03.<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia After TDL and BBM Increase in 2013 Using the Kernel Regression Model<\/td>\r\n\u00a0Vol. 6\/ No. 2\/Th 2013, page 103-112<\/td>\r\nJournal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a04.<\/td>\r\n\u00a0Using Biplot Analysis to Know the Characteristics of Regencies \/ Cities in Central Java Based on the Production of Garlic, Shallot, Large Chillies, and Rawit Chillies<\/td>\r\n\u00a0Vol. 7\/ No. 1\/Th 2014, page 47-52<\/td>\r\n\u00a0\u00a0Journal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a05.<\/td>\r\n\u00a0Modeling Volatility for Calculating Value At Risk (Var) Using Feed Forward Neural Network and Genetic Algorithms<\/td>\r\n\u00a0Vol. 7\/ No. 2\/Th 2014, page 53-61<\/td>\r\n\u00a0Journal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a06.<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia Using the Local Polynomial Regression Model<\/td>\r\n\u00a0Vol 2 no 1, 2014, page 65-78<\/td>\r\n\u00a0\u00a0IndoMS Journal on Statistics ISSN 2301-8410<\/td>\r\n<\/tr>\r\n
            \u00a07.<\/td>\r\n\u00a0Data Analysis of Indonesia\u2019s Inflation Using the Integrated Moving Average (Arima) Autoregressive Model With the Addition of Outliers<\/td>\r\n\u00a0Vol. 8\/ No. 1\/Th 2015, page 1-11<\/td>\r\n\u00a0\u00a0Journal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a08.<\/td>\r\n\u00a0Modeling of Indonesia\u2019s Inflation Data on Transportation, Communication and Financial Service Sectors Using the Kernel and Spline Method<\/td>\r\n\u00a0Vol. 8\/ No. 2\/Th 2015, page 103-110<\/td>\r\nJournal\u00a0 Statistics Media ISSN\u00a0 1979-3693<\/td>\r\n<\/tr>\r\n
            \u00a09.<\/td>\r\n\u00a0Modeling of Indonesian Inflation Data in The Transportation, Communication and Financial Services Sector Using Local Polynomial Regression<\/td>\r\n\u00a0Indexed International Journal<\/td>\r\n\u00a0\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
            Journal International Applied Mathematical Sciences (accepted on October 2015)\r\n\r\nISSN: 1312-885X(Print)\r\nISSN: 1314-7552(Online)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/td>\r\n<\/tr>\r\n
            \u00a010.<\/td>\r\nModeling 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
            \u00a011.<\/td>\r\n\u00a0The Shift Invariant Discrete Wavelet Transform (SIDWT) with Inflation Time Series Application<\/td>\r\n\u00a0Vol 48, No. 4, August 2016<\/td>\r\n\u00a0Journal of Mathematics Research, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 ISSN 1916-9795 (Print)\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 ISSN 1916-9809 (on line)<\/td>\r\n<\/tr>\r\n
            \u00a012.<\/td>\r\n\u00a0Modelling Local Polynomial for Longitudinal Data a case study: inflation sectors in Indonesia<\/td>\r\n\u00a0Vol. 11 No. 23 December 2016<\/td>\r\n\u00a0ARPN Journal of Engineering and Applied Sciences; ISSN 1819-6608<\/td>\r\n<\/tr>\r\n
            \u00a013.<\/td>\r\nVolatility Modeling of Financial Time Series Data Using ANFIS<\/td>\r\n\u00a0Vol. 23, No. 4, April 2017, pp.6562-6566<\/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
              \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\u00a0Computer Science National Seminar<\/td>\r\nSpeaker with paper entitled \u201cAnalysis of City Bus Queue at Purabaya Main Terminal Surabaya\u201d<\/td>\r\n12 May 2012\r\n\r\nPS\u00a0 Computer Science Undip<\/td>\r\n<\/tr>\r\n
              \u00a02<\/td>\r\n\u00a0Statistics National Seminar<\/td>\r\nSpeaker with paper entitled \"Data Analysis of Inflation in Indonesia Using the Kernel Regression Model\"<\/td>\r\n14 September 2013\r\n\r\nStatistics Department Undip<\/td>\r\n<\/tr>\r\n
              \u00a03<\/td>\r\n\u00a0International Proceeding Seminar 4th<\/sup> ISNPINSA<\/td>\r\n\u00a0The Analysis Of Indonesia Inflation \u00a0Data\u00a0\u00a0 Using Box-Jenkins Models<\/td>\r\n28 October 2014\r\n\r\nPatra Jasa Hotel Semarang<\/td>\r\n<\/tr>\r\n
              \u00a04<\/td>\r\nMathematics and Science and Information Technology Proceeding Seminar MIPA UNS<\/td>\r\n\u00a0Data Analysis on Inflation in Indonesia using ARIMA Box-Jenkins, Kernel and Spline Models<\/td>\r\n25 April 2015\r\n\r\nUNS Surakarta<\/td>\r\n<\/tr>\r\n
              \u00a05<\/td>\r\n\u00a0International Proceeding Seminar IconSSE UKSW Salatiga,<\/td>\r\n\u00a0Performance of Neural Network Model in Forecasting Indonesian Inflation<\/td>\r\n1 August 2015\r\n\r\nUKSW Salatiga<\/td>\r\n<\/tr>\r\n
              \u00a06<\/td>\r\nNational Seminar SENDMATSA Unissula 2016<\/td>\r\n\u00a0Data Analysis of Inflation in Indonesia on transportation, communications and financial service sectors using ARIMA with Outliers<\/td>\r\n19 March 2016\r\n\r\nUNISSULA Semarang<\/td>\r\n<\/tr>\r\n
              \u00a07<\/td>\r\nNational Seminar SENDMATSA Unissula 2016<\/td>\r\n\u00a0Adaptive Spline Threshold Autoregressive (ASTAR) on the Modeling of Sea Surface Altitude in Semarang City<\/td>\r\n19 March 2016\r\n\r\nUNISSULA Semarang<\/td>\r\n<\/tr>\r\n
              \u00a08<\/td>\r\n\u00a0International Seminar ISNPINSA 2016 , Undip<\/td>\r\n\u00a0Volatility Modeling of Financial Time Series Data Using ANFIS<\/td>\r\n5- 6 October 2016\r\n\r\nGrand Candi Hotel Semarang<\/td>\r\n<\/tr>\r\n
              \u00a09<\/td>\r\nInternational Conference on Theoretical and Applied Statistics (ICTAS ) ITS 2016<\/td>\r\n\u00a0Modelling of Intervention Multi Input : A Case Study Inflation in Central Java Based on Price Changing Fuel Oil in Indonesia<\/td>\r\n19-20 October 2016\r\n\r\nMajapahit Hotel Surabaya<\/td>\r\n<\/tr>\r\n
              \u00a010<\/td>\r\n\u00a0International Conference on Theoretical and Applied Statistics (ICTAS ) ITS 2016<\/td>\r\n\u00a0Modelling Inflation of Transportation, Comunication, and Service Sectors in Indonesia Using Intervention Model<\/td>\r\n19-20 October 2016\r\n\r\nMajapahit Hotel Surabaya<\/td>\r\n<\/tr>\r\n
              \u00a011<\/td>\r\n\u00a0National Seminar Science and Technology Education 2017<\/td>\r\n\u00a0The Study of Spline Modeling for Longitudinal Data as a Development of Nonparametric Regression<\/td>\r\n7 October 2017\r\n\r\nMuhammadiyah University Semarang<\/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\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. 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\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. 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\u00a0<\/td>\r\n\u00a0<\/td>\r\n\u00a0<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\u00a0","_et_gb_content_width":"","footnotes":""},"class_list":["post-2254","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2254","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=2254"}],"version-history":[{"count":8,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2254\/revisions"}],"predecessor-version":[{"id":6079,"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/pages\/2254\/revisions\/6079"}],"wp:attachment":[{"href":"https:\/\/stat.fsm.undip.ac.id\/v1\/wp-json\/wp\/v2\/media?parent=2254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}