Rancang Bangun Media Informasi Berbasis Multimedia Untuk Mencegah Risiko Stunting Pada Anak Balita
DOI:
https://doi.org/10.32627/internal.v6i2.869Keywords:
Anak Balita, Multimedia, Multimedia Development Life Cycle (MDLC), StuntingAbstract
Stunting is a growth disorder that describes the failure to growth potential as a result of inadequate health status or nutrition. Child stunting data in 2022 has fallen to 21.6%, but according to the World Health Organization (WHO) criteria, the percentage is still high (20%). One prevention in reducing the risk of stunting is to increase the knowledge of parents about stunting and the intake of good food to be consumed by children. The dissemination of information about stunting and nutritional food intake is often found in the media of information such as text, video, and images but the distribution of information is not organized in one medium. The development phase uses the Multimedia Development Life Cycle (MDLC) methodology with five (five) stages: concept, design, material collection, assembly, and testing. The result of this study is a multimedia-based information media in dasawisma RT 05 Bumi Orange, Cimekar Village, Bandung Regency, with a selection of stunting material menus including complementary foods for breast milk (MPASI), children's weight and height standards, child nutrition, and food intake.
References
A. R. Atmadja and A. Purwarianti, “Comparison on the rule based method and statist [1] Akbar, F. K., Binti, I. A. H., Darmiati, Hermawan, A., & Muspiati, A. M. (2021). Strategi Menurunkan Prevalensi Gizi Kurang pada Balita - Google Books (Syamsidar (Ed.); Vol. 3, Issue 1). CV Budi Utama.
Azijah, I., & Adawiyah, A. R. (2020). Pertumbuhan dan Perkembangan Anak Balita (Miranti (Ed.); Vol. 1). Lindan Bestari.
Herliafifah, R. (2021). Perkembangan Balita Usia 1-5 Tahun. Hello Sehat. https://hellosehat.com/parenting/anak-1-sampai-5-tahun/perkembangan-balita/tahap-perkembangan-balita/
Prawirohartono, E. P. (2021). Stunting?: Dari Teori dan Bukti ke Implementasi Lapangan (H. Prasetyo (Ed.)). Gadjah Mada University Press.
Kemenkes. (2022). Apa itu Stunting. Kementrian Kesehatan Direkorat Jenderal Pelayanan Kesehatan. https://yankes.kemkes.go.id/view_artikel/1516/apa-itu-stunting#:~:text=· Stunting adalah masalah kurang gizi,tidak sesuai dengan kebutuhan gizi.
Andriani, P., Aisyah, I. S., Wirawan, S., Hasanah, L. N., Idris, Nursiah, A., Yulistianingsih, A., & Siswati, T. (2022). Stunting Pada Anak (Oktavianis & R. M. Sahara (Eds.)). Global Eksekutif Teknologi.
Finaka, A. W. (2023). Usia Berapa Stunting Terjadi Pada Anak. Indonesia Baik.Id. https://indonesiabaik.id/infografis/usia-berapa-stunting-terjadi-pada-anak#:~:text=Usia Kasus Stunting Indonesia,dengan persentase 26%2C2%25
Unit Pelayanan Kesehatan. (2023). 4 Cara Mencegah Stunting. Unit Pelayanan Kesehatan. https://upk.kemkes.go.id/new/4-cara-mencegah-stunting
Putri, E. B. A., Nurbaeti, T. S., Dhewi, S., Conterius, R. E. B., Badi’ah, A., Afrinis, N., Rozi, F., Saragih, M., Bintanah, S., Widyarni, A., Pijaryani, I., Utami, K. D., Sambriong, M., Wahyuni, L. E. T., Wahyuningrum, D. R., Siddiq, M. N. A. A., Inayah, H. K., Lasepa, W., Juwita, H. Y. L., … Majiding, C. M. (2023). Ilmu Gizi dan Pangan (Teori dan Penerapan).pdf (A. Munandar (Ed.)). Media Sains Indonesia.
Saurik, H. T. T., Purwanto, D. D., & Hadikusuma, J. I. (2019). Teknologi Virtual Reality untuk Media Informasi Kampus. Jurnal Teknologi Informasi Dan Ilmu Komputer, 6(1), 71–76.
Nana. (2020). PENGEMBANGAN BAHAN AJAR (S. Nuraisiah (Ed.); I). Penerbit Lakeisha.ical based method on emotion classification for Indonesian Twitter text,” 2015 Int. Conf. Inf. Technol. Syst. Innov. ICITSI 2015 - Proc., 2016, doi: 10.1109/ICITSI.2015.7437692.
Y. A. Gerhana, A. R. Atmadja, W. B. Zulfikar, and N. Ashanti, “The implementation of K-nearest neighbor algorithm in case-based reasoning model for forming automatic answer identity and searching answer similarity of algorithm case,” in 2017 5th International Conference on Cyber and IT Service Management (CITSM), 2017, pp. 1–5, doi: 10.1109/CITSM.2017.8089233.
W. B. Zulfikar, M. Irfan, C. N. Alam, and M. Indra, “The comparation of text mining with Naive Bayes classifier, nearest neighbor, and decision tree to detect Indonesian swear words on Twitter,” in 2017 5th International Conference on Cyber and IT Service Management, CITSM 2017, 2017, doi: 10.1109/CITSM.2017.8089231.
D. S. Maylawati, H. Aulawi, and M. A. Ramdhani, “The Concept of Sequential Pattern Mining for Text,” in AASEC 2018, 2018.
M. Irfan, J. P. Syopiansyah, and A. R. Muhammad, “The Readiness Model of Information Technology Implementation among Universities in Indonesia,” IOP Conf. Ser. Mater. Sci. Eng., 2018.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 R. Yadi Rakhman Alamsyah, Reni Nursyanti, Resvina Alya Putri
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
