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Hybrid Model GSTAR-SUR-NN For Precipitation Data Sulistyono, Agus Dwi; Nugroho, Waego Hadi; Fitriani, Rahma; Iriani, Atiek
CAUCHY Vol 4, No 2 (2016): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.925 KB) | DOI: 10.18860/ca.v4i2.3490

Abstract

Spatio-temporal model that have been developed such as Space-Time Autoregressive (STAR) model, Generalized Space-Time Autoregressive (GSTAR), GSTAR-OLS and GSTAR-SUR. Besides spatio-temporal phenomena, in daily life, we often find nonlinear phenomena, uncommon patterns and unidentified characteristics of the data. One of current developed nonlinear model is a neural network. This study is conducted to form a hybrid model GSTAR-SUR-NN to develop spatio-temporal model that has better prediction. This research is conducted on ten-daily rainfall data at 2005 - 2015 for Blimbing, Singosari, Karangploso, Dau, and Wagir region. Based on the results of this research, indicated that the accuracy of GSTAR ((1), 1,2,3,12,36)-SUR model used cross-covariance weight has relatively similar to GSTAR ((1), 1,2,3 , 12.36)-SUR-NN (25-14-5) for  Blimbing and Singosari region with 5% error level. While Karangploso, Dau, and Wagir, GSTAR ((1), 1,2,3,12,36)-SUR-NN (25-14-5) model has better accuracy in predicting the precipitation at three locations with the value of R2prediction for each location is 0.992, 0.580, and 0.474.
Comparison of Inverse Distance Weighted and Natural Neighbor Interpolation Method at Air Temperature Data in Malang Region Musashi, Jaka Pratama; Pramoedyo, Henny; Fitriani, Rahma
CAUCHY Vol 5, No 2 (2018): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1040.43 KB) | DOI: 10.18860/ca.v5i2.4722

Abstract

The purpose of this study was to compare the results of Inverse Distance Weighted (IDW) and Natural Neighbor interpolation methods for spatial data of air temperature in the Malang Region.  Interpolation is one way to determine a point of events from several points around the known value.  Spatial interpolation can be used to estimate an area that does not have a data record using the value of its known surroundings.  38 points observation air temperature of Malang Region in 2016 is used as a sample point to interpolate the surrounding air temperature.  Obtained optimum parameter power value is 2 for IDW interpolation method.  The RMSE comparison results show that IDW method is better to be used than the Natural Neighbor Interpolation method with the RMSE values of 1,2292 for the IDW method and 1,6173 for the NN method.
ACCELERATED FAILURE TIME MODEL CURE RATE Primandari, Liduina Asih; Pramoedyo, Henny; Fitriani, Rahma
Jurnal Industri Inovatif Vol 3 No 2 (2013): Jurnal Industri INOVATIF
Publisher : PRODI TEKNIK INDUSTRI S1 ITN MALANG

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Abstract

Accelerated Failure Time (AFT) adalah metode yang digunakan untuk mengetahui hubungan antar peubah yang mempengaruhi waktu survival. Metode ini diperluas dengan menggunakan model cure rate. Model cure rate digunakan apabila data survival terbagi menjadi dua kelompok pasien yaitu susceptible dan immune. Pasien dikatakan susceptible apabila pasien mengalami kejadian yang diamati (kematian) dan dikatakan immune apabila pasien tersebut masih hidup pada akhir penelitian. Model AFT dengan penambahan model cure rate diterapkan dalam 3 sebaran yakni sebaran Eksponensial, Weibull dan Log – Logistik kemudian diaplikasikan untuk mengetahui hubungan antara usia pasien (Y1) dan waktu menunggu hingga memperoleh donor (Y2) terhadap waktu survival pasien penerima sumsum tulang belakang (X). Berdasarkan hasil penelitian, diperolehkesimpulan bahwa model AFT parametrik dapat digabungkan dengan model cure rate dengan terlebih dahulu membentuk fungsi survival dari model AFT parametrik. Model AFT parametrik dengan penambahan model curerate hanya dapat digunakan apabila waktu survival terbagi menjadi dua kelompok pasien, yakni susceptible dan immune. Penambahan model cure rate memberikan tambahan informasi, yakni dapat diketahui pula proporsi individu yang masih hidup (tersensor) dalam kasus ini. Informasi ini dapat berguna untuk mengetahuikeefektifan dari pengobatan yang telah dilakukan
Estimator’s Property of Spatially Corrected Blundell-Bond on Dynamic of Spatial Durbin Panel Model Using Monte Carlo Simulation reza, widya; Pramoedyo, Henny; Fitriani, Rahma
ComTech: Computer, Mathematics and Engineering Applications Vol 10, No 2 (2019): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v10i2.5665

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This research discussed the properties of Spatially Corrected Blundell-Bond (SCBB) in overcoming the problem of endogeneity and spatial dependence that occur in dynamic Spatial Durbin Model (SDM) panels. The properties of the estimator tested were unbiased and normality. The properties test of the estimator was carried out using the Monte Carlo simulation approach. From the results of this research, it finds that the SCBB estimator has unbiased properties and follows a normal distribution. Based on the property of the estimator obtained, the SCBB parameter estimation method in the dynamic SDM panel model works well in overcoming endogeneity and spatial dependence problems.
PERWATAKAN TOKOH DALAM NOVEL MARIPOSA KARYA LULUK HF Fitriani, Rahma; Priyadi, Antonius Totok; Seli, Sesilia
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 8, No 10 (2019): Oktober 2019
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

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AbstractThis study examines the characters in the novel Mariposa by Luluk HF, and to describe character analytically, character dramatically; and thatis to decribe implementation of the results into the Indonesian intructions at school. The benefit of this study are devide into two categories: practical and theoritical. This psychological analysis study was conducted by referring to Albertine Minderop's theory. This study using descriptive methods and psychoanalysis approach. The data sources in this research is Mariposa novel, while the data are words, phrases and expressions. The data collection in this study uses documentary study technique. Data collections tool in this study is direct research as a key instrument. The analysis shows that 1) the analytic character of the Mariposa novel by Luluk HF. 2) Mariposa's dramatic character novel by Luluk HF. 3) The results are implemented into Indonesian language and art subject matter in basic competencies 3,9 and 4,9 from third grade in high school. Keywords: Character, Psychology, novel
PENDEKATAN PARTIAL LEAST SQUARE REGRESSION UNTUK MENGATASI MULTIKOLINIERITAS DALAM REGRESI LOGISTIK ORDINAL Lestari, Kartika Ayu; Mitakda, Maria Bernadetha; Fitriani, Rahma
Jurnal Mahasiswa Statistik Vol 1, No 1 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PERBEDAAN METODE GEOGRAPHICALLY WEIGHTED LASSO (GWL)-LOKAL DAN GEOGRAPHICALLY WEIGHTED LASSO (GWL) GLOBAL DALAM MENGATASI KASUS MULTIKOLINIERITAS PADA MODEL GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Ramadhan, Apry Zakaria; Pramoedyo, Henny; Fitriani, Rahma
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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KEPEKAAN METODE WHITE’S ROBUST STANDARD ERROR DALAM MENGATASI MASALAH HETEROSKEDASTISITAS POLA LINIER DAN KUADRATIK PADA ANALISIS REGRESI LINIER SEDERHANA Maharani, Kasih; Fitriani, Rahma; Pramoedyo, Henny
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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ANALISIS DISKRIMINAN LINIER ROBUST PADA PENGKLASIFIKASIAN BERAT BAYI BARU LAHIR Dianiati, Aldila Nur; Fitriani, Rahma; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PEMODELAN SPATIAL PADA DATA POISSON DENGAN SPATIAL AUTOREGRESSIVE (SAR) POISSON Korniasari, Leli Dwi; Fitriani, Rahma; Pramoedyo, Henny
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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