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Hasibuan, Lilis Harianti
Universitas Islam Negeri Imam Bonjol Padang
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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 Afrimayani, Afrimayani Amelia Putri Annur, Lathifah Arham, Aulia Asfa'ani, Ezhari Asfa’ani, Ezhari Audinta Sakti Firmansyah Bagus Pribadi, Bagus Darvi Mailisa Putri Devianto, Dodi Fadhila Putri Indriani Fitri Rahmah Ul Hasanah Gusti Muhammad Rosyadi Hijriati, Naimah Indah Permata Sari Indah Permata Sari Juwita Lasterina La Ode Nashar Lilis Suriani M Syahrul Ridho Nasution Maiyastri, Maiyastri Mardika, Fitria MIFTAHUL JANNAH Miftahul Jannah Miftahul Jannah Miftahul Jannah Miftahul Jannah Mochammad Idris Mohamad Syafi’i Muhammad Naufan Rizqullah Musthofa, Syarto Nor Hidayati Novia Lestari Novita Hasanah Novizal Wendry, Novizal Nur, Rizki Amalia Putri, Rani Kurnia Rahma Yulia Rani Kurnia Putri Rani Kurnia Putri Raudhatul Jannah Rianjaya, Ilham Dangu Ririn Hayatun Nufus Riza, Ozzy Secio Rudiyanto Rudiyanto, Rudiyanto Sabran, La Ode Salsabila, Unik Hanifah Saman Abdurrahman Sari, Anisa Rizki Sepri, Domi Sheryn Amelia Puteri Sholih, Ahmad Shubhi Subhan Ajrin Sudirman Susi Sulastri Lubis Syahadah, Nadila Syarto Musthofa Syarto Musthofa Ul Hasanah, Fitri Rahmah Winda Fransiska Yanuar, Ferra Yuharnida, Yuharnida