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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Signifikan : Jurnal Ilmu Ekonomi Media Statistika Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Sains & Teknologi Lingkungan Jurnal Matematika Sains dan Teknologi Indonesian Journal of Artificial Intelligence and Data Mining BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal Information System Development Jambura Journal of Informatics Jurnal Aplikasi Statistika & Komputasi Statistik Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems International Journal of Business, Law, and Education JUSTIN (Jurnal Sistem dan Teknologi Informasi) Malcom: Indonesian Journal of Machine Learning and Computer Science Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Robert Kurniawan, Robert
Jurusan Komputasi Statistik Sekolah Tinggi Ilmu Statistik (STIS) Jakarta
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Journal : Media Statistika

 1 
ANALISIS PERBANDINGAN METODE FUZZY C-MEANS DAN SUBTRACTIVE FUZZY C-MEANS Haqiqi, Baiq Nurul; Kurniawan, Robert
MEDIA STATISTIKA Vol 8, No 2 (2015): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.309 KB) | DOI: 10.14710/medstat.8.2.59-67

Abstract

Fuzzy C-Means (FCM) is one of the most frequently used clustering method. However FCM has some disadvantages such as number of clusters to be prespecified and partition matrix to be randomly initiated which makes clustering result becomes inconsistent. Subtractive Clustering (SC) is an alternative method that can be used when number of clusters are unknown. Moreover, SC produces consistent clustering result. A hybrid method of FCM and SC called Subtractive Fuzzy CMeans (SFCM) is proposed to overcome FCM’s disadvantages using SC. Both SFCM and FCM are implemented to cluster generated data and the result of the two methods are compared. The experiment shows that generally SFCM produces better clustering result than FCM based on six validity indices.Keywords : Clustering, Fuzzy C-Means, Subtractive Clustering, Subractive Fuzzy C-Means
PEMODELAN DATA KEMATIAN BAYI DENGAN GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION Ramadhan, Riza F.; Kurniawan, Robert
MEDIA STATISTIKA Vol 9, No 2 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.539 KB) | DOI: 10.14710/medstat.9.2.95-106

Abstract

Overdispersion phenomenon and the influence of location or spatial aspect on data are handled using Binomial Geographically Weighted Regression (GWNBR). GWNBR is the best solution to form a regression analysis that is specific to each observation’s location. The analysis resulted in parameter value which different from one observation to another between location. The Weighting Matrix Selection is done before doing The GWNBR modeling. Different weighting  will resulted in different model. Thus this study aims to  investigate the best fit model using infant mortality data that is produced by some kind of weighting such as fixed kernel Gaussian, fixed kernel Bisquare, adaptive kernel Gaussian and adaptive kernal Bisquare in GWNBR modeling. This region study covers all the districts/municipalities in Java because the number of observations are more numerous and have more diverse characteristics. The study shows that out of four kernel functions, infant mortality data in Java2012, the best fit model is produced by fixed kernel Gaussian function. Besides that GWNBR with fixed kernel Gaussian also shows better result than the poisson regression and negative binomial regression for data modeling on  infant mortality based on the value of AIC and Deviance.                                                                                    Keywords:   GWNBR, infant mortality, fixed gaussian, fixed bisquare, adaptive gaussian, adaptive bisquare.
KOMPARASI METODE PERAMALAN AUTOMATIC CLUSTERING TECHNIQUE AND FUZZY LOGICAL RELATIONSHIPS DENGAN SINGLE EXPONENTIAL SMOOTHING Endaryati, Betik; Kurniawan, Robert
MEDIA STATISTIKA Vol 8, No 2 (2015): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.696 KB) | DOI: 10.14710/medstat.8.2.93-101

Abstract

Automatic clustering technique and fuzzy logical relationships(ACFLR) is one of the forecasting method that used to predict time series data that can be applied in any data. Several previous studies said that this method has a good accuracy. Therefore, this study aims to compare the ACFLR methods with single exponential smoothing method and apply it to simulation data with uniform distribution. The performance of the method is measured based on MSE and MAPE. The results of the comparison of the methods showed that ACFLR has a higher forecasting accuracy than single exponential smoothing. This is evidenced by the value of MSE and MAPE of ACFLR is lower than single exponential smoothing.Keywords: Fuzzy, Forecasting, Automatic Clustering-Fuzzy Logic Relationships, Single Exponential Smoothing
Co-Authors Adnyana, I Kadek Surya Wisesa Agung Purwanto Agustini, Peni Aimariyadi, Wisnu Akbar, Vicha Amalia Alif Andika Putra Amalia Noviani Arie Wahyu Wijayanto Asikin, Munawar Asshidiq, Isna Aissatussiri Ayuningrum, Adinda Safira Santoso Azhar, Daris Bagus Sumargo, Bagus Baiq Nurul Haqiqi Baiq Nurul Haqiqi, Baiq Nurul Batrisybazla, Adinda Betik Endaryati, Betik Dini Arifatin Dora, Rika Fadhlullah Fadhlullah Faradinah Nasir, Fadiah Fella Ulandari Frans Judea Samosir Hasabi, Rafif Hidayat, Arief Ramadhan Rifky Hilmianto, Rizky Hutabarat, Rizky Theofilus Ignatius Sandyawan Ilmi Aulia Akbar Irman Firmansyah Ismail, Ghaffar Joshua Ariel Perkasa Kadek Angga Wicaksana Kadir Kadir Kamilia Wafa Pakuani Khamila, Azzahra Dhisa Kurniasari, Agustin Marsisno, Waris Muhammad Iqbal Muhammad Irsad Arief Muhammad Yusuf Aristyanto Murti, Sartika Andari Nashir Wahyudi Neli Agustina Nilam Novita Sari Nugroho, Yoga Dwi Nurmawati, Erna Nurmawiya - Parina, Okta Prabowo, Edhi Pratama, Ahmad R. Putri, Salwa Rizqina Ratu Kintan Karina Ribut Nurul Tri Wahyuni Rivan Destyanugraha Riza F. Ramadhan, Riza F. Safariza, Dena Sakina, Dara Sartika Andari Murti Sepnita Wulandari Silvia Ni'matul Maula Sinaga, Baginda Singrapati, Lalu Riza Siregar, Dania Sitorus, Agnes Vera Yanti Sugiarto S Sukim, Sukim Syaifudin Syaifudin, Syaifudin Tobing, Vanessa Ruth Evelyn Umbara, Danu Victor Trismanjaya Hulu Wahyu Hassapni Wahyuni, Krismanti Tri Wardani, Martha Budi Wilantika, Nori Yuniarto, Budi Zaldi, Muhammad Afif Wirdiyan Zalukhu, Bill Van Ricardo Zareka, Andi Muh. Zulfadhil