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All Journal Media Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Mahasiswa Statistik Journal of Innovation and Applied Technology Mutiara Medika: Jurnal Kedokteran dan Kesehatan Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) ComTech: Computer, Mathematics and Engineering Applications Industri Inovatif : Jurnal Teknik Industri Pakem : Jurnal Pengabdian Kepada Masyarakat
Henny Pramoedyo
Prodi Statistika Jurusan Matematika FMIPA Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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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

Abstract

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.
PENDEKATAN METODE GEOGRAPHICALLY WEIGHTED ORDINAL LOGISTIC REGRESSION (GWOLR) MENGGUNAKAN METODE SEMIPARAMETRIC (S-GWOLR) Amelia, Okky Ariska; Pramoedyo, Henny; Wardhani, Ni Wayan Surya
Jurnal Mahasiswa Statistik Vol 1, No 1 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PENDEKATAN STRUCTURAL EQUATION MODELLING (SEM) DENGAN MODEL GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA DATA SPASIAL Rizkiyani, Cirairina; Pramoedyo, Henny; Handoyo, Samingun
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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PERBANDINGAN METODE PARTIAL LEAST ABSOLUTE DEVIATION REGRESSION DAN METODE PARTIAL ROBUST M REGRESSION PADA KASUS DATA OUTLIER Maghfiroh, Aulia; Astuti, Ani Budi; Pramoedyo, Henny
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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PEMODELAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) SEBAGAI PENDEKATAN MODEL GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) YANG MELIBATKAN PARAMETER GLOBAL Sariyya, Hanah Rista; Sumarminingsih, Eni; Pramoedyo, Henny
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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REDUKSI FIXED COEFFICIENT PADA GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION SEMIPARAMETRIC DENGAN METODE STEPWISE Khoirunnisa, Elsa Azizah; Pramoedyo, Henny; Handoyo, Samingun
Jurnal Mahasiswa Statistik Vol 1, No 2 (2013)
Publisher : Jurnal Mahasiswa Statistik

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Co-Authors Achmad Efendi Alfi Fadliana Amelia, Okky Ariska Ani Budi Astuti Ani Budi Astuti Ardianti, Deby Arif, Nur Fitriyah Atiek Iriany Chairunissa, Abela Danang Ariyanto Fachri Faisal Fernandes, Adji Achmad Handoyo, Samingun Heni Kusdarwati Jaka Pratama Musashi Jannah, Friendtika Miftaqul Khoirunnisa, Elsa Azizah Korniasari, Leli Dwi Kurniawan, Galih Widhi Kusdarwati, Heni Liduina Asih Primandari, Liduina Asih Loekito Adi Soehono Luthfatul Amaliana, Luthfatul Maghfiroh, Aulia Maharani, Kasih Megasari, Dannys Mitakda, Maria Bernadetha Mudjiono Mudjiono, Mudjiono Ni Wayan Surya Wardhani Ni Wayan Surya Wardhani Novi Nur Aini, Novi Nur Nur Azizah Nurjannah Nurjannah Rahma Fitriani Ramadhan, Apry Zakaria Ramadhan, Rajuliaddin Ridwan, Yusrina Layli Riza, Sativandi Rizkiyani, Cirairina Sa’adah, Zumrotus Saniyawati, Fang You Dwi Ayu Shalu Sariyya, Hanah Rista Septiani, Kurniawati Setiarini, An Nisa Dwi Shara, Yoeniarti Suci Astutik Sumarminingsih, Eni Widya Reza Wigbertus Ngabu Yanuari, Anindita Yuli Triana, Eka Putri