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I Made Sumertajaya’s Publications

Gusalinda, A., Sumertajaya, I. M., & Rahardiantoro, S. (2019). Penerapan Metode VAR-X untuk Pemodelan Data Deret Waktu dengan Calendar effects. Xplore: Journal of Statistics, 8(1).
Novkaniza, F., Djuraidah, A., Fitrianto, A., & Sumertajaya, I. (2019). Simulation study for comparison of spatial autoregressive probit estimation methods. In IOP Conference Series: Earth and Environmental Science (Vol. 299, p. 012030). IOP Publishing.
Rochayati, I., Syafitri, U. D., Sumertajaya, I. M., & others. (2019). KAJIAN MODEL PERAMALAN KUNJUNGAN WISATAWAN MANCANEGARA DI BANDARA KUALANAMU MEDAN TANPA DAN DENGAN KOVARIAT. Indonesian Journal of Statistics and Its Applications, 3(1), 18–32.
Muslim, A., Fitrianto, A., Sumertajaya, I. M., & Djuraidah, A. (2019). Generalized Spatial Three-Stage Least Square (GS3SLS) for Unemployment Rate and Economic Growth Modelling in East Java. In IOP Conference Series: Earth and Environmental Science (Vol. 299, p. 012032). IOP Publishing.
Pusponegoro, N. H., Djuraidah, A., Fitrianto, A., & Sumertajaya, I. M. (2019). Geo-additive Models in Small Area Estimation of Poverty. Journal of Data Science and Its Applications, 2(1), 11–18.
Septiani, A., Sumertajaya, I. M., & Aidi, M. N. (2019). Vector Autoregressive X (VARX) Modeling for Indonesian Macroeconomic Indicators and Handling Different Time Variations with Cubic Spline Interpolation. Repositories-Dept. of Statistics, IPB University, 175–180.
Safitri, E., Sumertajaya, I. M., & Rizki, A. (2018). Penggerombolan Provinsi di Indonesia Berdasarkan Produktivitas Tanaman Pangan Tahun 2005-2015 Menggunakan Metode K-Error. Xplore: Journal of Statistics, 2(1), 25–32.
Munthe, A. D., Sumertajaya, I. M., & Syafitri, U. D. (2018). PENGGEROMBOLAN DESA/KELURAHAN BERDASARKAN INDIKATOR KEMISKINAN DENGAN MENERAPKAN ALGORITMA TSC DAN K-PROTOTYPES. Indonesian Journal of Statistics and Its Applications, 2(2), 63–76.
Yulianti, D., Sumertajaya, I. M., & Sulvianti, I. D. (2018). Pemodelan Harga Beras di Pulau Sumatera dengan Menggunakan Model Generalized Space Time ARIMA. Xplore: Journal of Statistics, 2(2), 49–57.
Suhaeni, C., Sumertajaya, I. M., & Djuraidah, A. (2018). KAJIAN SIMULASI PENDUGAAN SELANG KEPERCAYAAN BOOTSTRAP BAGI ARAH MEDIAN DATA SIRKULAR. Indonesian Journal of Statistics and Its Applications, 2(1), 35–45.
Albasia, M. A. Y., Susetyo, B., & Sumertajaya, I. M. (2018). Klasifikasi Keberhasilan Melanjutkan Pendidikan Tingkat SMA Provinsi Banten Menggunakan CART dan Random Forest. Xplore: Journal of Statistics, 7(3).
Arina, F., Wigena, A. H., Sumertajaya, I. M., & Syafitri, U. (2018). Split Plot Mixture Process Variable Experiment on Steel Slag Concrete. In IOP Conference Series: Earth and Environmental Science (Vol. 187, p. 012049). IOP Publishing.
Arina, F., Wigena, A. H., Sumertajaya, I. M., & Syafitri, U. (2018). Mixture Designs for Quadratic Models with Constrained Experimental Regions on Ground Granulated Blast Furnace Slag Concrete. Applied Mathematical Sciences, 12(26), 1251–1258.
Oktasari, D., Aidi, M. N., & Sumertajaya, I. M. (2018). A Comparison of Univariate ARIMA and Multivariate to Estimate Absorption Pattern in Stronsium Tittanate Dop Variation.
Andayani, N., Sumertajaya, I. M., Ruchjana, B. N., & Aidi, M. N. (2018). Comparison of GSTARIMA and GSTARIMA-X Model by using Transfer Function Model Approach to Rice Price Data. In IOP Conference Series: Earth and Environmental Science (Vol. 187, p. 012052). IOP Publishing.
Dewi, A. P., Sumertajaya, I. M., & Wigena, A. H. (2018). Aplikasi Structural Equation Modeling-Partial Least Squares dalam Menentukan Faktor yang Mempengaruhi Kinerja Karyawan. Xplore: Journal of Statistics, 7(3), 28–35.
Mubarak, F., Sumertajaya, I., & Aidi, M. N. (2017). The Best Spatial Weight Matrix Order of Radius for GSTARIMA. International Journal of Engineering and Management Research (IJEMR), 7(2), 494–497.
Andayani, N., Sumertajaya, I. M., Ruchjana, B. N., & Aidi, M. N. (2017). Development of space time model with exogenous variable by using transfer function model approach on the rice price data. Applied Mathematical Sciences, 11(36), 1779–1792.
Zaikarina, H., Sumertajaya, I. M., & others. (2017). EVALUASI KEPUASAN PENGGUNA JASA LABORATORIUM KIMIA PT KRAKATAU STEEL (PERSERO) TBK TAHUN 2012-2013. Indonesian Journal of Statistics and Its Applications, 1(1), 24–38.
Setiawan, I., Sumertajaya, I. M., & Afendi, F. M. (2017). Forecasting The Broad Proportion Attack of Rice Blast Disease in Indonesia. Repositories-Dept. of Statistics, IPB University, 766–770.
Setyono, S., Sumertajaya, I., Kurnia, A., & Mattjik, A. (2016). KERAGAAN REGRESI LS, LAD, DAN MLAD PADA DATA DELIVERY TIME (The Performance of LS, LAD, and MLAD Regression on Delivery Time Data). JURNAL AGRONIDA, 2(1).
Andayani, N., Sumertajaya, I., Ruchjana, B. N., & Aidi, M. N. (2016). Comparison ARIMA-X and VARMA-X Model to Space Time Data: A Case Study of Rice Price in Six Provinces on Java Island. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 55(3), 145–153.
Setiawan, A., Aidi, M. N., & Sumertajaya, I. M. (2015). Modelling of Forecasting Monthly Inflation by using VARIMA and GSTARIMA Models. In Forum Statistika dan Komputasi (Vol. 20).
Pongoh, F., Sumertajaya, I. M., & Aidi, M. N. (2015). Geographichal Weighted Regression and Mix Geographichal Weighted Regression. International Journal of Statistics and Applications, 5(1), 1–4.
Suhaeni, C., Si, M., & Sumertajaya, I. M. (2015). Circular Descriptive Statistic for Describing Students Sleeping Time. Statistics, Mathematics, Teaching, and Research, 130.
Wijaya, F. B., & Sumertajaya, I. M. (2015). Comparison of Autoregressive (AR), Vector Autoregressive (VAR), Space Time Autoregressive (STAR), and Generalized Space Time Autoregressive (GSTAR) in Forecasting (Case: Simulation study with Autoregressive pattern). International Journal of Applied Engineering Research, 10(21), 42388–42395.
Iqbal, T. A., Meranti, K. I., Sadik, K., Sumertajaya, I., & others. (2014). Pemodelan pengukuran luas panen padi nasional menggunakan Generalized Autoregressive Conditional Heteroscedastic model (GARCH).
Aidi, M. N., Sumertajaya, I. M., & Yusuf, L. M. (2014). Geographical Weighted Regression with Kernel Gaussian Weighted Function in Life Expectancy Rate (Case Study: Life Expectancy Rate of Regencies/Cities in East Java Province).
Wijayanto, H., Sumertajaya, I. M., Fitrianto, A., & Wahyuni, S. (2014). Statistical models for chili productivity. Applied Mathematical Sciences, 8(2), 69–79.
Herawan, S. Y., Sumertajaya, I. M., & Silvianti, P. (2013). UJI MULTILOKASI MELALUI ANALISIS AMMI MULTIRESPON (Studi Kasus: Penelitian Galur Tanaman Tembakau Madura). Xplore: Journal of Statistics, 1(1).
Mattjik, A., & Sumertajaya, I. (2013). Experimental Design with SAS Applications and Minitab. Bogor (ID): IPB Press.
Suhartono, D., Saefuddin, A., & Sumertajaya, I. M. (2013). Survival Analysis Of Customer In Postpaid Telecommunication Industry. In Forum Statistika dan Komputasi (Vol. 18).
Sumampouw, S., Aidi, M. N., & Sumertajaya, I. M. (2013). ANALISIS DISKRIMINAN LOGISTIK UNTUK KLASIFIKASI SEKOLAH STANDAR INTERNASIONAL BERDASARKAN STATUS AFILIASI. Xplore: Journal of Statistics, 1(2).
Mattjik, A., & Sumertajaya, I. (2013). Design of Experiments with Applications of SAS and Minitab. Bogor (ID): IPB Press.
Mattjik, A. A., & Sumertajaya, M. (2013). Perancangan percobaan dengan aplikasi SAS dan Minitab:... PT Penerbit IPB Press.
Suhaeni, C., Sumertajaya, I. M., & Djuraidah, A. (2012). PENDUGAAN SELANG KEPERCAYAAN BOOTSTRAP BAGI ARAH RATA-RATA DATA SIRKULAR (Bootstrap Confidence Interval Estimation of Mean Direction for Circular Data). In Forum Statistika dan Komputasi (Vol. 17).
Mattjik, A. A., Sumertajaya, I. M., Hadi, A., & Wibawa, G. (2011). Pemodelan Additive Main-effect & Multiplicative Interaction (AMMI): Kini dan yang akan datang. IPB Press, Bogor.
Mattjik, A. A., Sumertajaya, I., Wibawa, G. N. A., & Hadi, A. F. (2011). Sidik peubah ganda dengan menggunakan SAS.
Nurussadad, A. A., Sumertajaya, I. M., & Mattjik, A. A. (2011). PENGARUH PEMILIHAN ARAH ACUAN 00 DAN ARAH ROTASI PADA ANALISIS KORELASI DAN REGRESI LINIER-SIRKULAR (STUDI KASUS: PETA KAWASAN RAWAN BENCANA LETUSAN GUNUNG. In Forum Statistika dan Komputasi (Vol. 16).
Mattjik, A., & Sumertajaya, I. (2011). Multivariate Analisys using SAS. Bogor, Indonesia: Institut Pertanian Bogor.
Mattjik, A., & Sumertajaya, I. (2011). Sidik Peubah Ganda dengan Menggunakan SAS (Bandung. IPB Press.
Andanawari, A. G., Sumertajaya, I., & Syafitri, U. (2010). Faktor-faktor yang mempengaruhi minat siswa melanjutkan pendidikan ke perguruan tinggi dengan menggunakan regresi logistik (Studi kasus: Minat siswa SMU/sederajat di Kabupaten Garut terhadap STAI Al-Musaddadiyah)[Factors that affect the interests of the students continue their education to college using logistic regression (Case study: The interest of high school students in Garut to Al-Musaddadiyah Islamic Religious School)](Undergraduate thesis). Tesis. Bogor: Institut Pertanian Bogor.
Silvianti, P., Notodiputro, K. A., & Sumertajaya, I. M. (2010). Multi-locations trials play an important role in plant breeding and agronomic research. Study concerning genotype-environment interaction is needed in the selection of genotype to be released. AMMI (Additive Main Effect and Multiplicative Interaction) is one of the statistical techniques used to analyze data from multi-locations trials. The analysis of AMMI is a combination of analysis between additive main effect and principal component analysis. Multi-location sampling data which were collected several years on several planting season used these analyzed separately. To obtain more comprehensive information of multi-location sampling data, an analysis which combines all of the information through out the years are needed. One of the alternatives is the Bayesian approach. This method utilizes initial information on the estimated parameters and information from samples. The simulation states that prediction with Bayesian methods will produce a better estimator, because the MSE of the Bayesian estimator is smaller than the MSE estimator generated using least squares method. In Forum Statistika dan Komputasi (Vol. 15).
Hadi, A. F., Mattjik, A., & Sumertajaya, I. (2010). Generalized AMMI models for assessing the endurance of soybean to leaf pest. Jurnal Ilmu Dasar, 11(2), 151–159.
Novianti, P., Mattjik, A. A., & Sumertajaya, I. M. (2010). Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understanding genotype and environment interaction (GEI) in plant breeding research. The interpretation of AMMI based on biplot visualizes the first two component of principle components analysis. Biplot of AMMI is only an exploration analysis and it does not provide the hypothesis testing, so it can conduct different interpretation by plant breeding researchers. The aim of this research is to find a systematic approach through bootstrap resampling method. Bootstrap resampling method in AMMI model produces confidence region of the first two interaction principle component (and) for genotype and environment respectively. Bootstrap confidence region of and estimated the stability of genotype, thus making AMMI analysis more precise and realiable for characterization and selection of genetic environment. In Forum Statistika dan Komputasi (Vol. 15).
Novianti, P., Mattjik, A., & Sumertajaya, I. (2010). Pendugaan kestabilan genotipe pada model AMMI menggunakan metode resampling bootstrap. In Forum Statistika dan Komputasi (Vol. 15, pp. 28–35).
Soleh, A. M., Safitri, U. D., & Sumertajaya, I. (2010). Ipteks Bagi Masyarakat (IbM) Desa Petir.
Jaya, I., Sumertajaya, I. M., & Mattjik, A. A. (2008). Partial Least Square-Mixed Ammi Dalam Analisis Interaksi Genotipe X Lingkungan. In Prosiding Seminar Nasional Sains dan Teknologi-II.
Jaya, I., & Sumertajaya, I. M. (2008). Structural Equation Modeling With Partial Least Square. Proceedings Semnas Mathematics and Mathematics Education.
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