Applying the Multi-Attribute Utility Theory (MAUT) to Accurately Determine Stunting Susceptibility Levels in Toddlers
Abstract
Stunting is a condition of impaired growth and development in toddlers due to prolonged nutritional deprivation. In the Kota Timur Community Health Center, stunting is traditionally assessed based solely on body weight and height, neglecting other crucial factors such as socioeconomic status, maternal nutrition during pregnancy, history of illness, and dietary intake. This limited approach leads to inaccurate decision-making and misdiagnoses of stunting. This research applied the Multi-Attribute Utility Theory (MAUT) to identify stunting susceptibility levels in toddlers by integrating various determinants, including body weight, height, socioeconomic conditions, maternal nutrition during pregnancy, morbidity, and dietary intake. MAUT effectively integrates multiple criteria and manages data uncertainties through its utility concept, allowing for comparison across different alternatives to facilitate accurate decision-making. The results showed that Arbi, Manaf, and Aisyah were susceptible to stunting, with evaluation scores of 0.028, 0.288, and 0.299, respectively, while Daffa and Zayyan were not susceptible, with scores of 0.900 and 0.966, respectively. Therefore, the system utilizing MAUT to determine stunting susceptibility levels in toddlers can be adopted by health workers at the Kota Timur Community Health Center to enable efficient, quick, and accurate diagnosis by integrating multiple determinants of stunting susceptibility.
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References
N. L. Rohmatika, B. A. Azhali, and H. Garna, “Hubungan Stunting dengan Kerentanan Penyakit pada Anak Usia 1 – 5 Tahun di Desa Panyirapan Kecamatan Soreang Kabupaten Bandung,” J. Integr. Kesehat. Sains Online, vol. 2, no. 1, pp. 76–80, 2019.
Rokom, “Ini Penyebab Stunting Pada Anak,” Sehat Negeriku. [Online]. Available: https://sehatnegeriku.kemkes.go.id/baca/umum/20180524/4125980/penyebab-stunting-anak/
S. E. Martina and R. Siregar, “Deteksi Dini Stunting Dalam Upaya Pencegahan Stunting Pada Balita Di Desa Durin Tonggal, Pancur Batu, Sumatera Utara,” J. Abdimas Mutiara, vol. 1, no. 1, pp. 42–47, 2020.
E. Setiawan, R. Machmud, and M. Masrul, “Faktor-faktor yang berhubungan dengan kejadian stunting pada anak usia 24-59 bulan di Wilayah Kerja Puskesmas Andalas Kecamatan Padang Timur Kota padang Tahun 2018,” J. Kesehat. Andalas, vol. 7, no. 2, pp. 275–284, 2018.
N. Retnowati, R. N. Karimah, and R. A. Sutantio, “Pelatihan Dan Konseling Gizi Bagi Ibu Hamil Pada Rumah Rumpi Sehat Sebagai Upaya Mencegah Terjadinya Stunting Anak Di Wilayah Kecamatan Sumbersari Kabupaten Jember,” Semin. Nas. Has. Pengabdi. Masy. dan Penelit. Pranata Lab., pp. 150–155, 2019.
M. A. Jihad Plaza R, H. Haliq, and C. Irawan, “Sistem Pendukung Keputusan Balita Teridentifikasi Stunting Menggunakan Metode Saw,” J. Inform., vol. 22, no. 1, pp. 19–32, 2022, doi: 10.30873/ji.v22i1.3157.
T. Limbong, Sistem Pendukung Keputusan: Metode dan Implementasi. Yayasan Kita Menulis, 2020.
J. Saragih and A. Simangunsong, “Penerapan Metode Analytical Hierarchi Process (AHP) Dalam Menentukan Tingkat Kerentanan Stunting (Gizi Buruk) Desa Di Kecamatan Juhar,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 5, pp. 331–339, 2021, doi: 10.32672/jnkti.v4i5.3389.
V. Hayon, “Sistem Pendukung Keputusan Identifikasi Balita Stunting Menggunakan Metode Promethee,” HOAQ (High Educ. Organ. Arch. Qual. J. Teknol. Inf., vol. 14, no. 1, pp. 28–37, 2023, doi: 10.52972/hoaq.vol14no1.p28-37.
N. Nuratika, “Sistem Pendukung Keputusan Pendeteksi Stunting dengan Metode Naive Bayes Berbasis Website,” Politeknik Negeri Bengkalis, Riau, 2022.
G. Riadhi and S. Anardani, “Rancang Bangun Sistem Pendukung Keputusan Penentuan Kondisi Stunting Dengan Metode Moora,” Semin. Nas. Teknol. Inf. dan Komun., pp. 157–166, 2023.
G. S. Parnell and S. N. Tani, Foundations of Decision Analysis. 2013. doi: 10.1002/9781118515853.ch3.
H. C. Sox, M. C. Higgins, and D. K. Owens, Medical Decision Making, Second Edition, Second Edi. UK: John Willey & Sons, Ltd., 2013.
N. Hadinata, “Implementasi Metode Multi Attribute Utility Theory (MAUT) Pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 7, no. 2, pp. 87–92, 2018, doi: 10.32736/sisfokom.v7i2.562.
M. A. Amri, H. Hafizan, T. P. Ramadhana, R. Winanjaya, and J. T. Hardinata, “Penerapan Multi Attribute Utility Theory (MAUT) dalam Pemilihan Pewarna Rambut,” Semin. Nas. Sains dan Teknol. Inf., pp. 599–602, 2021.
A. Rizka, Metode Multi-Attribute Utility Theory (MAUT) untuk Pemilihan Produk Terlaris. Medan: Tahta Media Group, 2023.
Menteri Kesehatan RI, Peraturan Menteri Kesehatan Republik Indonesia Nomor 2 Tahun 2020 Tentang Standar Antropometri Anak. 2020. [Online]. Available: http://journal.um-surabaya.ac.id/index.php/JKM/article/view/2203
Z. Allah Bukhsh, I. Stipanovic, G. Klanker, A. O’ Connor, and A. G. Doree, “Network level bridges maintenance planning using Multi-Attribute Utility Theory,” Struct. Infrastruct. Eng., vol. 15, no. 7, pp. 872–885, 2019, doi: 10.1080/15732479.2017.1414858.
A. Triayudi, J. D. Rajagukguk, and M. Mesran, “Implementasi Metode MAUT Dalam Menentukan Prioritas Produk Unggulan Daerah Dengan Menerapkan Pembobotan ROC,” J. Comput. Syst. Informatics, vol. 3, no. 4, pp. 452–460, 2022, doi: 10.47065/josyc.v3i4.2216.
D. Safitri, H. K. Siradjudin, and Rosihan, “Sistem Pendukung Keputusan Pembelian Mobil Baru Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut),” JUKOMIKA (Jurnal Ilmu Komput. dan Inform., vol. 4, no. 2, pp. 85–92, 2021, doi: 10.54650/jukomika.v6i1.503.
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