Peningkatan Kemampuan Kader Posyandu Ibnu Sina Gampong Barabung dalam Menentukan Status Gizi Balita Menggunakan Instrumentasi Digital
DOI:
https://doi.org/10.58835/nawadeepa.v2i2.182Keywords:
Stunting, Posyandu, Cadres, Digital, MeasuringAbstract
The number of stunting children in the Aceh Besar region until the end of 2022 reached 1,211 cases, so that the Aceh Government and all stakeholders were very focused on reducing the number of stunting cases according to the target set by the Government of the Republic of Indonesia. To help determine the stunting case in Aceh Besar, an accurate digital measuring device is needed so that the prevention process is carried out on the right target. This community service activity is carried out continuously by applying the results of research measuring automatic nutritional status in children through high measurement and weight implemented at the Gampong Barabung Posyandu by training 12 Posyandu cadres in order to use the measuring instrument correctly. The method carried out is through practice and trials so that posyandu cadres that have been trained can determine the number of stunting cases in their area appropriately.
References
Ahmad, A., Madanijah, S., Dwiriani, C. M., & Kolopaking, R. (2018). Complementary feeding practices and nutritional status of children 6-23 months old: Formative study in Aceh, Indonesia. Nutrition Research and Practice, 12(6), 512–520. https://doi.org/10.4162/nrp.2018.12.6.512
Apriawan, D. Y. (2018). ALAT UKUR PANJANG DAN BERAT BADAN BALITA UNTUK MENENTUKAN KATEGORI STATUS GIZI BERBASIS ARDUINO UNO. 07, 8.
Kumar, P., Bijalwan, V., Patil, N., Daniel, A., Sinha, R., Dua, R., & Seth, A. (2018). Comparison between Weight-for-Height Z-Score and Mid Upper Arm Circumference to Diagnose Children with Acute Malnutrition in five Districts in India. Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine, 43(3), 190–194. https://doi.org/10.4103/ijcm.IJCM_310_17
Purbasari, A., Rinawan, F. R., Zulianto, A., Susanti, A. I., & Komara, H. (2021). CRISP-DM for Data Quality Improvement to Support Machine Learning of Stunting Prediction in Infants and Toddlers. 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 1–6. https://doi.org/10.1109/ICAICTA53211.2021.9640294
Rahman, S. M. J., Ahmed, N. A. M. F., Abedin, M. M., Ahammed, B., Ali, M., Rahman, M. J., & Maniruzzaman, M. (2021). Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach. PLoS ONE, 16(6 June 2021). https://doi.org/10.1371/journal.pone.0253172
Roni, M., Syauqy, D., & Primananda, R. (n.d.). Rancang Bangun Sistem Deteksi Dini Status Gizi dan Risiko Stunting pada Balita berdasarkan Tinggi dan Berat Badan menggunakan Metode JST Backpropagation. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer E-ISSN, 2548, 964X.
Seetharaman, N., Chacko, T. V., Shankar, S. L. R., & Mathew, A. C. (2007). Measuring malnutrition-The role of Z scores and the composite index of anthropometric failure (CIAF). Indian Journal of Community Medicine, 32(1), 35.
Shahriar, M. M., Iqubal, M. S., Mitra, S., & Das, A. K. (2019). A Deep Learning Approach to Predict Malnutrition Status of 0-59 Month’s Older Children in Bangladesh. 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 145–149.
Siswati, T., Hookstra, T., & Kusnanto, H. (2020). Stunting among children Indonesian urban areas: What is the risk factors. Jurnal Gizi Dan Dietetik Indonesia (Indonesian Journal of Nutrition and Dietetics), 8(1), 1–8.
Wigati, M., Nurlita, A. N., Gunawan, I. M. A., Hendarta, N. Y., Hasanbasri, M., & Helmyati, S. (2022). Anthropometric Kit Development for Stunted Early Detection among Children Under-two Years Old: Providing a Portable Body Length Measurer. Open Access Macedonian Journal of Medical Sciences, 10(E), 852–859.
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