Bandung Conference Series Statistics最新文献

{"title":"Implementasi Zero Inflated Beta Regression Model pada Proporsi Kematian Ibu di Kota Bandung Tahun 2020","authors":"Labana Kaulika, Nusar Hajarisman","doi":"10.29313/bcss.v3i2.7879","DOIUrl":"https://doi.org/10.29313/bcss.v3i2.7879","url":null,"abstract":"Abstract. Zero inflated beta is a mixture of the continous distribution on (0, 1) and the generated distribution which can produce a non-negative probability to 0. Zero Inflated Beta Regression (BeZI) is a method that can handle or model data that has a high proportion of zeros or there are excess zeros in the data. In this study, the response variable y has a mix between the beta distribution and the point mass at zero. Estimation of the regression parameters from the zero inflated beta regression model uses the Maximum Likelihood Estimation (MLE), where the estimation process is solved numerically. The numerical method used is the Fisher’s scoring method based on the score vector and the Fisher Information matrix to estimate the parameters of the maternal mortality rate in the city of Bandung in 2020. The results of the research on the count regression model show that the percentage variable K1 has a negative effect on the proportion of maternal deaths in Bandung City in 2020, while in the zero inflation model it is found that there are no variables that have an influence on the proportion when maternal deaths do not occur.
 Abstrak. Zero inflated beta merupakan campuran distribusi kontinu pada (0, 1) dan distribusi yang dibangkitkan dimana dapat menghasilkan probabilitas non-negatif ke 0. Zero Inflated Beta Regression (BeZI) merupakan metode yang dapat menangani atau memodelkan suatu data yang memiliki proporsi nol yang tinggi atau terdapat excess zero dalam data. Dalam skripsi ini, variabel respon memiliki percampuran antara distribusi beta dan titik massa pada nol. Penaksiran parameter regresi dari model regresi zero inflated beta menggunakan Maximum Likelihood Estimation (MLE), dimana proses penaksirannya diselesaikan secara numerik. Metode numerik yang digunakan yaitu metode Fisher’s scoring berdasarkan pada vektor skor dan matriks informasi Fisher untuk menaksir parameter dari angka kematian ibu di kota bandung tahun 2020. Hasil penelitian pada model count regression diperoleh bahwa variabel persentase K1 memiliki pengaruh negatif terhadap proporsi kematian ibu Kota Bandung tahun 2020, sedangkan pada model zero inflation diperoleh bahwa tidak ada variabel yang memiliki pengaruh terhadap proporsi pada saat tidak terjadinya kematian ibu.","PeriodicalId":497140,"journal":{"name":"Bandung Conference Series Statistics","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135398927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metode Regresi Elastic-net untuk Mengatasi Masalah Multikolinearitas pada Kasus Tingkat Pengangguran Terbuka di Provinsi Jawa Barat","authors":"Astri Handayani, Lisnur Wachidah","doi":"10.29313/bcss.v3i1.5757","DOIUrl":"https://doi.org/10.29313/bcss.v3i1.5757","url":null,"abstract":"Abstract. Linear regression is used to study the relationship between dependent variables and one or more independent variables. The most widely used linear regression parameter estimation is the Least Squares Method (MKT). Multiple linear regression involves more than one independent variable. The common problem that is often encountered in multiple linear regression is the problem of multicollinearity. Multicollinearity in multiple linear regression occurs when there is a correlation between independent variables, with multicollinearity it is often difficult to see the effect of the independent variables on the dependent variables. Multicollinearity handling can be done using the elastic-net regression method where this method can reduce the regression coefficient to exactly zero, besides that the regression nets also select variables simultaneously and can select groups of correlated variables. In 2020 the open response rate in West Java Province was relatively high, namely 10.46, exceeding the national average of 7.07. This study uses data regarding the open response rate in West Java Province in 2020. Based on the results of testing the independent variables that influence the open response rate in West Java, namely the dependency ratio, average length of schooling, human development index, percentage of poor people, wages minimum district/city, and population density.
 Abstrak. Regresi linier digunakan untuk mempelajari hubungan antara peubah tak bebas dengan satu atau lebih peubah bebas. Pendugaan parameter regresi linier yang paling banyak digunakan yaitu Metode Kuadrat Terkecil (MKT). Regresi linier berganda melibatkan lebih dari satu peubah bebas. Masalah umum yang sering dijumpai pada regresi linier berganda yaitu adanya masalah multikolinearitas. Multikolinearitas pada regresi linier berganda terjadi apabila terdapat korelasi antar peubah bebas, keberadaan multikolinearitas seringkali menyulitkan untuk melihat pengaruh antara peubah bebas terhadap peubah tak bebas. Penanganan multikolinearitas dapat dilakukan menggunakan metode regresi elastic-net dimana metode ini dapat menyusutkan koefisien regresi tepat nol, selain itu regresi elastic-net juga melakukan seleksi peubah secara simultan dan dapat memilih kelompok peubah yang berkorelasi. Pada tahun 2020 tingkat pengangguran terbuka di Provinsi Jawa Barat relatif tinggi yaitu sebesar 10,46 melebihi nilai rata-rata nasional sebesar 7,07. Penelitian ini menggunakan data mengenai tingkat pengangguran terbuka di Provinsi Jawa Barat pada tahun 2020. Berdasarkan hasil pengujian peubah bebas yang memberikan pengaruh tehadap tingkat pengangguran terbuka di Jawa Barat yaitu dependency ratio, rata-rata lama sekolah, indeks pembangunan manusia, presentase penduduk miskin, upah minimum kabupaten/kota, dan kepadatan penduduk.","PeriodicalId":497140,"journal":{"name":"Bandung Conference Series Statistics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135654389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}