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All Journal Sistemasi: Jurnal Sistem Informasi JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) ESTIMASI: Journal of Statistics and Its Application Basis : Jurnal Ilmiah Matematika
Anna Islamiyati
Universitas Hasanuddin
Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Mathematics Public Health Other

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Journal : ESTIMASI: Journal of Statistics and Its Application

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Pengaruh Indeks Massa Tubuh dan TrigliseridaTerhadap Gula Darah dengan Model Regresi Nonparametrik Spline Biprediktor Dewi Rahma Ente; Anna Islamiyati; Raupong Raupong
ESTIMASI: Journal of Statistics and Its Application Vol. 2, No. 2, Juli, 2021 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v2i2.10262

Abstract

The regression approach can be carried out using three approaches namely parametric, nonparametric and semiparametric approaches. Nonparametric regression is a statistical method used to see the relationship between the response variable and the predictor variable when the shape of the data curve is unknown. Diabetes mellitus (DM) or commonly called diabetes is a disease that is found and observed in various parts of the world today. DM is often marked by a significant increase in blood sugar levels. In this study using blood sugar levels as response variables, body mass index and triglycerides as predictor variables. Data were analyzed using truncated linear spline with one, two and three point knots experiments. The best model is obtained based on the minimum generalized cross validation (GCV) value. The results obtained that the best model is linear spline using three point knots.
Co-Authors Afifah Afifah Ainun Mawaddah Abdal Andi Kresna Jaya Anisa Anisa Dewi Rahma Ente Edy Saputra Rusdi Jusmawati Massalesse Kasbawati Kasbawati Kezia Agra Palinoan Muhammad Yusran Muralia Hustim Naimah Aris Najhah Aris Nur Erawaty Nurdin Nurdin Raupong, Raupong Siswanto Siswanto Sitti Sahriman Sri Astuti Thamrin