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All Journal SMATIKA Smatika Jurnal : STIKI Informatika Jurnal
I Ketut Adhi Wiraguna
Pasca Sarjana Tehnologi Informasi, Institut Sains Dan Tehnologi Terpadu Surabaya
Computer Science & IT Education

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Prediksi Anak Stunting Berdasarkan Kondisi Orang Tua Dengan Metode Support Vector Machine Dengan Study Kasus Di Kabupaten Tabanan-Bali I Ketut Adhi Wiraguna; Endang Setyati; Edwin Pramana
SMATIKA JURNAL Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.662

Abstract

Stunting is one of the nutritional problems faced by children in the world. Stunting is a condition where the child's height is below the established standard and is a chronic nutritional problem caused by food intake that is not in accordance with nutritional needs. The state of Indonesia has a high commitment to preventing stunting so that Indonesian children can grow and develop optimally accompanied by ready emotional, social and physical abilities. to learn. This effort is shown through the National Strategy for the Acceleration of Stunting Prevention or known as Stranas Stunting, which will be implemented in 2018-2024. Tabanan Regency is one of the priority cities in the 2020 Stranas Stunting program. To give a good and efficient result, the researchers conducted research on how to predict stunting children based on the condition of their parents using the Support Vector Machine method. In this study, the data used is data from the Tabanan district office where the data is 300 data consisting of 22 variables tested with 3 kernel models from the Support Vector Machine to find the highest accuracy. In this study, The trial was carried out 15 times with Matlab and the highest accuracy value was obtained using 18 variables from a total of 22 variables of 0.9889 or 98.89%, and the kernel with the highest accuracy was using a polynomial.
Prediksi Anak Stunting Berdasarkan Kondisi Orang Tua Dengan Metode Support Vector Machine Dengan Study Kasus Di Kabupaten Tabanan-Bali I Ketut Adhi Wiraguna; Endang Setyati; Edwin Pramana
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.662

Abstract

Stunting is one of the nutritional problems faced by children in the world. Stunting is a condition where the child's height is below the established standard and is a chronic nutritional problem caused by food intake that is not in accordance with nutritional needs. The state of Indonesia has a high commitment to preventing stunting so that Indonesian children can grow and develop optimally accompanied by ready emotional, social and physical abilities. to learn. This effort is shown through the National Strategy for the Acceleration of Stunting Prevention or known as Stranas Stunting, which will be implemented in 2018-2024. Tabanan Regency is one of the priority cities in the 2020 Stranas Stunting program. To give a good and efficient result, the researchers conducted research on how to predict stunting children based on the condition of their parents using the Support Vector Machine method. In this study, the data used is data from the Tabanan district office where the data is 300 data consisting of 22 variables tested with 3 kernel models from the Support Vector Machine to find the highest accuracy. In this study, The trial was carried out 15 times with Matlab and the highest accuracy value was obtained using 18 variables from a total of 22 variables of 0.9889 or 98.89%, and the kernel with the highest accuracy was using a polynomial.
Co-Authors Edwin Pramana Endang Setyati