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All Journal Indonesian Council of Premier Statistical Science
Mufarida, Abdilla
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Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health Social Sciences

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Modeling of Educated Unemployment Rates in Indonesia Using Geographically Weighted Regression Mufarida, Abdilla; Marizal, Muhammad
Indonesian Council of Premier Statistical Science Vol 4, No 1 (2025): February 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i1.35855

Abstract

Modeling the Educated Unemployment Rate (EUR) in Indonesia is an effort to reduce the number of unemployed, especially the unemployed who are able to complete their education at least high school. The SATKERNAS survey stated that more than half of the unemployed in Indonesia in 2022 were educated unemployed. Modeling was generally carried out to see the relationship between independent variables and dependent variables using linear regression analysis and specifically using Geographically Weighted Regression (GWR) analysis to understand significant differences in independent variables between provinces in Indonesia. In accordance with the model goodness criteria, GWR produces a model that has a smaller AIC value than the general model generated by linear regression. From linear regression analysis, EUR in Indonesia in 2022 is influenced by TPT, JPUP, and Investment. In addition to these variables, the PG variable also affects EUR in Aceh, North Sumatra, West Sumatra, and Riau Provinces according to GWR analysis with a fixed gaussian weighting function
Analisis Kurva Survival Kaplan Meier Menggunakan Uji Log Rank Pada Pasien Penyakit Kanker Serviks Mufarida, Abdilla; Saputra, Nanda; Yuriska, Rizki Tiara; Liaunillah, Yasyrifah
Indonesian Council of Premier Statistical Science Vol 2, No 1 (2023): February 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v2i1.25324

Abstract

Kanker serviks adalah salah satu kanker yang menempati peringkat teratas penyebab kematian perempuan di seluruh dunia termasuk Indonesia. Tingginya angka kematian disebabkan karena rendahnya kesadaran perempuan melakukan deteksi dini. Sebagian besar pasien kanker serviks datang ke rumah sakit sudah dalam stadium lanjut. Akibatnya pengobatan kanker serviks menjadi lebih sulit dan hasilnya tidak memuaskan, bahkan cenderung mempercepat kematian. Salah satu parameter yang dapat digunakan untuk menilai keberhasilan pengobatan adalah probabilitas ketahanan hidup. Penelitian ini mengangkat permasalahan ketahanan hidup pasien kanker serviks di RSUD Dr. Soetomo Surabaya menggunakan metode nonparametrik yaitu Kaplan Meier dan Uji Log Rank yang didasarkan pada enam faktor yaitu usia, stadium, jenis pengobatan, penyakit penyerta, komplikasi, dan status anemia. Metode non parametrik tidak mensyaratkan waktu survival mengikuti distribusi tertentu (free distribution). Sedangkan berdasarkan Kaplan Meier dari setiap variabel diduga terdapat perbedaan kurva survival pada stadium, jenis pengobatan, penyakit penyerta dan komplikasi. Kemudian dilanjutkan dengan uji Log Rank yang menunjukkan bahwa terdapat perbedaan kurva survival pada stadium, jenis pengobatan , dan komplikasi
Co-Authors Liaunillah, Yasyrifah M Marizal Saputra, Nanda Yuriska, Rizki Tiara