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Journal : STATISTIKA: Forum Teori dan Aplikasi Statistika

Model Multinomial Bayesian Network pada Data Simulasi Curah Hujan Rizki, Nanda Arista; Syaripuddin, Syaripuddin; Wahyuningsih, Sri
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 12, No 2 (2012)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bayesian Networks is one of simple Probabilistic Graphical Models are built from theory of bayes probability and graph theory. Probability theory Is directly related to data while graph theory directly related to the form representation to be obtained. Multinomial Bayesian Network method is one method that involves the influence of spatial linkages suggest a link between rainfall observation stations. The objective of this study was seek the result of  the model probabilistic a graph Multinomial Bayesian Network and apply it in forecasting with Oldeman classification based on one or two rainfall stations are known. This research uses simulated data for 14 stations respectively each 300 sets of data. The data generated is normal distribution of data based on parameters that have been determined and classified using the classification Oldeman. Bayesian Network structure constructed using the K2 algorithm. Markov chain transition matrix is formed based on the Bayesian of the nodes are directional. Model of Multinomial Bayesian Network was established based on Markov transition matrices. The result of probability model can predict the probability of rainfall in some stations based on one or two rainfall stations are known, which is a model graph with 14 nodes and 13 arcs.
Updating Reservoir Models Using Ensemble Kalman Filter Darwis, Sutawanir; GUNAWAN, AGUS YODI; WAHYUNINGSIH, SRI; SUNUSI, NURTITI; MUTAQIN, ACENG KOMARUDIN; FITRIYATI, NINA
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 10, No 1 (2010)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Ensemble Kalman Filter (EnKF) has gain popularity as a methodology for real time updates ofreservoir models. A sample of models is updated whenever observation data available. Successfulapplication of EnKF to estimate reservoir properties has been reported. A flow modeling is missing inthis research area. This paper presents the applicability of EnKF in flow modeling for three cases:infinite reservoir, bounded reservoir and one dimensional composite reservoir. The solution of flowequation was derived and used as a modeling component of state space modeling of Kalman filterupdating formula. This three reservoir models shows that the EnKF methodology can be used forupdating the reservoir models.
Model Multinomial Bayesian Network pada Data Simulasi Curah Hujan Rizki, Nanda Arista; Syaripuddin, Syaripuddin; Wahyuningsih, Sri
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 12, No 2 (2012)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bayesian Networks is one of simple Probabilistic Graphical Models are built from theory of bayesprobability and graph theory. Probability theory Is directly related to data while graph theory directlyrelated to the form representation to be obtained. Multinomial Bayesian Network method is onemethod that involves the influence of spatial linkages suggest a link between rainfall observationstations. The objective of this study was seek the result of the model probabilistic a graphMultinomial Bayesian Network and apply it in forecasting with Oldeman classification based on oneor two rainfall stations are known. This research uses simulated data for 14 stations respectively each300 sets of data. The data generated is normal distribution of data based on parameters that havebeen determined and classified using the classification Oldeman. Bayesian Network structureconstructed using the K2 algorithm. Markov chain transition matrix is formed based on the Bayesianof the nodes are directional. Model of Multinomial Bayesian Network was established based onMarkov transition matrices. The result of probability model can predict the probability of rainfall insome stations based on one or two rainfall stations are known, which is a model graph with 14 nodesand 13 arcs.
Model Multinomial Bayesian Network pada Data Simulasi Curah Hujan Rizki, Nanda Arista; Syaripuddin, Syaripuddin; Wahyuningsih, Sri
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 12, No 2 (2012)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v12i2.1062

Abstract

Bayesian Networks is one of simple Probabilistic Graphical Models are built from theory of bayesprobability and graph theory. Probability theory Is directly related to data while graph theory directlyrelated to the form representation to be obtained. Multinomial Bayesian Network method is onemethod that involves the influence of spatial linkages suggest a link between rainfall observationstations. The objective of this study was seek the result of the model probabilistic a graphMultinomial Bayesian Network and apply it in forecasting with Oldeman classification based on oneor two rainfall stations are known. This research uses simulated data for 14 stations respectively each300 sets of data. The data generated is normal distribution of data based on parameters that havebeen determined and classified using the classification Oldeman. Bayesian Network structureconstructed using the K2 algorithm. Markov chain transition matrix is formed based on the Bayesianof the nodes are directional. Model of Multinomial Bayesian Network was established based onMarkov transition matrices. The result of probability model can predict the probability of rainfall insome stations based on one or two rainfall stations are known, which is a model graph with 14 nodesand 13 arcs.
Updating Reservoir Models Using Ensemble Kalman Filter Darwis, Sutawanir; GUNAWAN, AGUS YODI; WAHYUNINGSIH, SRI; SUNUSI, NURTITI; MUTAQIN, ACENG KOMARUDIN; FITRIYATI, NINA
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 10, No 1 (2010)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v10i1.1007

Abstract

The Ensemble Kalman Filter (EnKF) has gain popularity as a methodology for real time updates ofreservoir models. A sample of models is updated whenever observation data available. Successfulapplication of EnKF to estimate reservoir properties has been reported. A flow modeling is missing inthis research area. This paper presents the applicability of EnKF in flow modeling for three cases:infinite reservoir, bounded reservoir and one dimensional composite reservoir. The solution of flowequation was derived and used as a modeling component of state space modeling of Kalman filterupdating formula. This three reservoir models shows that the EnKF methodology can be used forupdating the reservoir models.
Co-Authors ', Isjoni . Indarto . Sukrasno Abdullah, Teuku Aceng Komarudin Mutaqin Achmad subhi Gumilar Adyatma, Rengga Agus Supriyadi Agus Yodi Gunawan Ahmad Sofwan Ahmad Yusron, Ahmad Akriono, Muhammad Luqman Amri, Khabib Saiful Andries Lionardo, Andries Ani Rusilowati anim anim Anis Khiyaroh, Anis Arca Datam Sugiarto, Arca Datam Arif Budi Satrio Ash Shiddiq, Dimas Ghufron Ash-Shiddiq, Dimas Ghufron Askin, Askin Askin, Askin Asrul Sani Astuti, Desi Widi Aulanni’am a Aziza, Siti Nur Bambang Herry Purnomo, Bambang Herry Budi Prayitno BUDI SETIADI DARYONO Cahyono Purbomartono DAHRI, IRSYAD Dani, Andrea Tri Rian Dedy Wirawan Soedibyo Denny Irbianto Devi, Mike Indriana Dinda, Susanne Dini Siswani Mulia Djumadi Djumadi Edijatno Edijatno Eka Dewi Nurjayanti Eka Haryani, Eka Eko Prasetyo Eko Pudjadi, Eko Elida Novita Endah Subekti Endang Semiarti Erly Anna Rosita Ernawiati, Eti Ervi Rachma Dewi, Ervi Rachma Eva Dolorosa F. Parasmawati Fauziah, Normalita Feti Fatimatuzzahroh, Feti Firman Fuad Wirakusumah Firmansyah, Moh Ruky Nur Fitri, Susi Gofar Ismail Hafidz, Moh. salman A. Hamid Ahmad Hardiyanto Hardiyanto Hari Wijayanto Harsi D. Kusumaningrum Heri Nugroho Hermawan, Agnesa Arunggi Gaumanda Hery Maryanto, Hery Humayro, Aisyah Husaini . Husin, Farid I Wayan Suteja Idah Andriyani Ikhwanudin Ikhwanudin Imami, Rizky Fathonah Imelda Imelda Indarto - Indarto Indarto Indriani . Ishak Abdulhak Ismiyatun Ismiyatun Istanto Istanto Istianah Istianah Izza, Raudlotul Jang, Soenghoe JB. Suparyatmo Suparyatmo, JB. Suparyatmo Jenny Ratna Suminar Joko Suryanto Joko Tri Sujiwo Kamaruddin Oemar, Kamaruddin Karim, Muhamad Derajat Karunia, Nurlita Endah Karunia, Nurlita Endah Khairunnissa, Aulia Khoiriyah, Naila Ulfa Komalasari, Gantina Lalu A. Zaenuri Larasati, Ratri Mauluti Latipah, Latipah Lawrie, Muhammad Dylan Lepong, Piter Lepong, Piter lina marlina, lina LUKMAN ILHAM, LUKMAN Lutfi Aris Sasongko M Nur Ihsan Mahfut Mahfut, Mahfut Mahraenanto, Bambang Malihatin Munawaroh, Malihatin Martha Lulus Lande, Martha Lulus Masyhudi, Lalu Masyhudi, Lalu Mateus Sakundarno Adi, Mateus Sakundarno Moh. Djazari Muhamad Afandi, Muhamad Muhammad Ade Salim Muhammad Sudia Muhardjo Pudjojono, Muhardjo Muslim, Khaerul N, Karina Nadjadji Anwar Nafrida Ulfah, Nafrida Nanang Sugiarto Nanda Arista Rizki Nasir Saleh Nathan Hindarto Nieke Karnaningroem Nina Fitriyati Ningtias, Rahayu Ninik Hasanah, Ninik Nuada, I Wayan Nugraha E. Suyatma, Nugraha E. Nugroho Arifianto Nur Ducha Nur Hidayah, Afifah Nurjazuli Nurjazuli NURTITI SUNUSI Pradana, Hendra Andiananta Pradana, Hendra Andiananta Pramudya Annisa Firdausi Prasetyo, Firza Ersalina Pratiwi Trisunuwati Rahma Wati Rahmadiyanti, Ridhani Ramdani, Aulia Ratna P, Kenah Renan Subantoro Rini Rita T. Marpaung Risma Sake, Risma Rita Irma, Rita Rossi Prabowo Rosyid Ridho Royaningsih, Nanik RUBEN DHARMAWAN Saefudin Saefudin Sahat, Afro Aransa Salsabilah, Salsabilah Sasono Wibowo Satrijo Budiwibowo, Satrijo Saud Irsyad, Nasihin Savitri, Intan Maya Setiawan Setiawan Setyono, Bagus Dwi Hari Shinta Arum Wahyuningsih, Shinta Arum Shofia Nur Awami Sitti Raodhah, Sitti Soekarsono Hardjono, Soekarsono Sri Hartini Sri Heny Wahyuningsih, Sri Heny Sri Suparwitri, Sri St. A. Rahayuningsih Stiawan, Agus Sucipto Sucipto Sudaryati ., Sudaryati Suhardjo Widodo Dan, Suhardjo Widodo Suhartono Suhartono Suharyo Hadisaputro sujarwo, Moh Wawan Sukadi, Desi Rahmawati Sukarti Moeljopawiro Suprapti Supardi Suprati Supardi Supriyanto Supriyanto Suryaningtias, Siska Susanne Dida Susiarno, Hadi Sutawanir Darwis Sutiman B. Sumitro Sutrisno sutrisno Suyadi Suyadi Suyitno Suyitno Suyoto Suyoto Syahrul Basri Syaripuddin Syaripuddin Tino Bachtiar, Tino TITIK SUNDARI Tri Jalmo Trinil Susilawati Utami Dyah Syafitri Utami Kurniawati Widiyani', Aniya Yanti Setianti Yudhatama, Tri Galih Yudi Widodo Yuki Novia Nasution, Yuki Novia Yulianto Nugroho Yulianty Yulianty Yulinah S, Elin Yulinah, Ellin Yuwono Yuwono Zulkifli Zulkifli