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Maiyastri, Maiyastri
Universitas Andalas
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Journal : M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika

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Modeling Classification Of Stunting Toddler Height Using Bayesian Binary Quantile Regression With Penalized Lasso Hasibuan, Lilis Harianti; Yanuar, Ferra; Devianto, Dodi; Maiyastri, Maiyastri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.928

Abstract

Stunting is a child who has a height that is shorter than the age standard. One of the main indicators of stunting is a height that is lower than the standard for toddlers. Stunting in Indonesia is of great concern due to the high prevalence of stunting. Stunting children are at risk of impaired cognitive development, which will result in the development of human resources. This study aims to develop a classification model to detect stunted toddlers based on height using the Bayesian binary quantile regression method with LASSO (Least Absolute Shrinkage and Selection Operator). This method was chosen because of its ability to handle multicollinearity and variable selection problems automatically, as well as provide better estimates on non-normally distributed data. The data used in this study includes five independent variables such as age, weight at birth, gender, how to measure height and nutritional status. The results showed that independent variables that significantly affect the height of stunting toddlers can be a concern to reduce the problem of stunting in Indonesia. The results of model show that variable age, weight at birth, and nutritional status have a significant influence to classification of stunting toddler height. Indicator of model goodness is seen from the quantile that has the smallest MSE value. The model that has the smallest MSE is in quantile 0.25 with an MSE value of 0.1622.
Co-Authors Adellara Mutya R Admi Nazra Afnanda, Afridho Ainul Mardhiyah, Ainul ARNEZDA PUTRI Arrival Rince Putri Asdi, Yudiantri Bahri, Susila Baqi, Ahmad Iqbal Baqi, Ahmad Iqbal Budi Rudianto Cintya Mukti Citra Komang Sari Darvi Mailisa Putri DEBY CINTYA RIZAL Degika Widya Tama Deva, Athifa Salsabila Devianto, Dodi DHIYA ANISAH YUNARDI Efendi Efendi Eko Fachrozi Putra Elita Rahma Putri Elsa Wahyuni Ewi Jupit Faldo Aditya Fatihatur Ramadhani Ginal Reski Hasibuan, Lilis Harianti Hazmira Yozza Helmi Iswati Helmi, Monika Rianti Hesti Yolanda Ikhlas Pratama Sandi Istiqamah . Izzati Rahmi HG Izzati Rahmi HG Jamhari Jamhari Jayanti Herli Jusri Repi Basri Yuliani Karina Foresty Khaulah Binti Afrinaldi Lana Fauziah Lara Mahlindiani Marisa Marisa Mawanda Almuhayar Mesi Oktafia Mia Mauliani mila rosa Nadia Utika Narwen Narwen Nelfa Sari Nila Choirotunnisa Nova Melisty Nova Noliza Bakar Nurhakiki . NURUL AISHAH Nurul Saadah Nurwijayanti Prawati Ningsih Radhiatul Husna Rahma Diana Safitri RAHMAT SYAHNI Rahyu Silvia Refnaldo Refnaldo Ridha Khairiyah Riri Lestari Risma Yulia Rita Diana Rizki Effendi RIZKI FITRAH Rudiyanto Rudiyanto, Rudiyanto RYAN HANDANI SARAH SARAH Sarifah Aulia Silmiati Silmiati Silvia . Siska Auqino Siska Dwi Kumala Siska Zayendra Sovia Marhamah SRI DELIMAWATI Surya Puspita Sari Surya Puspita Sari, Surya Puspita Syafwan, Mahdhivan Uqwatul Alma Wisza Wellyanti , Des Wuri Wulandari Yanuar, Ferra Yessi Oktreza Zahra, Latifah Zetra, Aidinil Zuardin, Aulia Zulakmal, Zulakmal