Prediksi Klasemen Akhir Kompetisi Sepakbola Indonesia Menggunakan Metode Perluasan Ekspektasi Phytagoras

Mutaqin, Aceng Komarudin; Adri, Yhupi Praga

doi:10.24815/jda.v2i1.14123

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…It means that the parameter estimator is close to the actual parameter value. The AIC calculation is formulated as equation (12). In the calculation process, an element that influences the log-likelihood value is the weighting, where the greater weighting value makes the greater log-likelihood value.…”

Section: Selection Of the Best Modelmentioning

confidence: 99%

Geographically Weighted Negative Binomial Regression Modeling using Adaptive Kernel on the Number of Maternal Deaths during Childbirth

Fauwziyah¹,

Astutik²,

Pramoedyo³

2022

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The standard model that is used for count data is Poisson Regression. In fact, most of the count data is overdispersed, which means that the response variable has greater variance than the mean. So the Poisson Regression cannot be used because overdispersion can cause inaccurate parameter estimators. One of the most widely used methods to overcome overdispersion is Negative Binomial Regression. If there are spatial effects such as spatial heterogeneity that are taken into Negative Binomial model, the appropriate method to analyze is Geographically Weighted Negative Binomial Regression (GWNBR). A spatial weighting matrix is required in the GWNBR model. In this study, three weighting functions were used, that is Adaptive Gaussian Kernel, Adaptive Bisquare Kernel, and Adaptive Tricube Kernel. From the three weighting functions, a model will be formed and the best model will be selected based on the smallest AIC. Count data used in this study is maternal deaths during childbirth in West Java Province, which is the highest case in Indonesia. The results of the analysis show that based on the smallest AIC, the best modeling in maternal deaths during childbirth in West Java is the GWNBR model using the Adaptive Gaussian Kernel weight. The results of the best model were obtained from three groups based on the predictor variables that had a significant effect.

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Section: Selection Of the Best Modelmentioning

confidence: 99%

Geographically Weighted Negative Binomial Regression Modeling using Adaptive Kernel on the Number of Maternal Deaths during Childbirth

Fauwziyah¹,

Astutik²,

Pramoedyo³

2022

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“…Daya tarik ini sebagian besar karena sifat olahraga yang tidak dapat diprediksi (Butler et al, 2021). Melakukan prediksi hasil akhir terhadap sebuah pertandingan olahraga sudah banyak dilakukan orang-orang seperti prediksi liga Indonesia (Mutaqin & Adri, 2019), prediksi kemenangan atlet (Rainarli & Romadhan, 2017).…”

Section: Pendahuluanunclassified

Prediksi Klasemen Akhir English Premier League Untuk Keputusan Penanaman Modal Dengan Metode Distribusi Poisson

2021

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Nowadays, people often talk about machine learning, it is a technique which gives a system a skill to learn and develop automatically based on the experience in the past. With machine learning, it hopes could help the decission making process to decide the result of English Premiere Leauge' final standigs. In this research, the researcher will develop a machine learning using Poisson Distribution Method, which is a distribution of random variables (x) which refer to the number of experimental results that occur in a certain time interval or in a certain area. By predicting the final results of the standings, the researcher hopes that the result could show which club who has promising prospect that could be a reference for capital investment.

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Prediksi Klasemen Akhir Kompetisi Sepakbola Indonesia Menggunakan Metode Perluasan Ekspektasi Phytagoras

Cited by 2 publications

References 2 publications

Geographically Weighted Negative Binomial Regression Modeling using Adaptive Kernel on the Number of Maternal Deaths during Childbirth

Geographically Weighted Negative Binomial Regression Modeling using Adaptive Kernel on the Number of Maternal Deaths during Childbirth

Prediksi Klasemen Akhir English Premier League Untuk Keputusan Penanaman Modal Dengan Metode Distribusi Poisson

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