SIMULASI PEMODELAN MATEMATIKA SEIR TERHADAP PENGARUH SANITASI PADA KASUS STUNTING DI INDONESIA
DOI:
https://doi.org/10.30605/proximal.v6i1.2230Keywords:
Stunting, Sanitasi, Model Matematika, Model SEIRAbstract
Penelitian ini bertujuan untuk membangun model matematika untuk menggambarkan perubahan jumlah kasus stunting dengan faktor sanitasi tipe SEIR (Susceptible – Exposed - Infected – Recovered) di Indonesia. Model matematika yang telah dibuat kemudian dianalisis kestabilan modelnya. Setelah kestabilan model dianlisis, dilanjutkan dengan simulasi model menggunakan software Maple 18. Simulasi dilakukan sebanyak 3 kali dengan nilai faktor sanitasi yang berbeda yaitu 0.0002, 0.451, dan 0.5217. Hasil simulasi menunjukkan semakin tinggi angka sanitasi maka angka kasus stunting lebih cepat menurun
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References
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Sudarman, S., Aswadi, A., Syamsul, M., & Gabut, M. (2021). Faktor Yang Berhubungan Dengan Kejadian Stunting Pada Balita di Wilayah Kerja Puskesmas Pannambungan Kota Makassar. Al GIZZAI: Public Health Nutrition Journal, 1–15. https://doi.org/10.24252/algizzai.v1i1.19078
Wadu, L. B., Gultom, A. F., & Pantus, F. (2020). PENYEDIAAN AIR BERSIH DAN SANITASI: BENTUK KETERLIBATAN MASYARAKAT DALAM PEMBANGUNAN BERKELANJUTAN. Jurnal Pendidikan Kewarganegaraan, 10(2), Article 2. https://doi.org/10.20527/kewarganegaraan.v10i2.9318
Yahya, M. (2022). Algoritma K-Means Untuk Klasifikasi Provinsi di Indonesia Berdasarkan Paket Pelayanan Stunting. PANRITA: Journal of Science, Technology, and Arts, 1(2), Article 2.
Arsyati, A. M. (2019). PENGARUH PENYULUHAN MEDIA AUDIOVISUAL DALAM PENGETAHUAN PENCEGAHAN STUNTING PADA IBU HAMIL DI DESA CIBATOK 2 CIBUNGBULANG. PROMOTOR, 2(3), Article 3. https://doi.org/10.32832/pro.v2i3.1935
Dimas, B. (2021). Prevalensi Stunting di Indonesia Capai 24,4% pada 2021. Dataindonesia.id. https://dataindonesia.id/ragam/detail/prevalensi-stunting-di-indonesia-capai-244-pada-2021
Sanusi, W., Pratama, M. I., Rifandi, M., Sidjara, S., Irwan, & Side, S. (2021). Numerical Solution of SIRS model for Dengue Fever Transmission in Makassar Citywith Runge Kutta Method. Journal of Physics: Conference Series, 1752(1), 012004. https://doi.org/10.1088/1742-6596/1752/1/012004
Side, S., Sanusi, W., Aidid, M. K., & Sidjara, S. (2016). Global Stability of SIR and SEIR Model for Tuberculosis Disease Transmission with Lyapunov Function Method. Asian Journal of Applied Sciences, 9(3), 87–96. https://doi.org/10.3923/ajaps.2016.87.96
Side, S., Sanusi, W., & Bohari, N. A. (2021). Pemodelan Matematika SEIR Penyebaran Penyakit Pneumonia pada Balita dengan Pengaruh Vaksinasi di Kota Makassar. JMathCos (Journal of Mathematics, Computations, and Statistics), 4(1), Article 1. https://doi.org/10.35580/jmathcos.v4i1.20444
Sudarman, S., Aswadi, A., Syamsul, M., & Gabut, M. (2021). Faktor Yang Berhubungan Dengan Kejadian Stunting Pada Balita di Wilayah Kerja Puskesmas Pannambungan Kota Makassar. Al GIZZAI: Public Health Nutrition Journal, 1–15. https://doi.org/10.24252/algizzai.v1i1.19078
Wadu, L. B., Gultom, A. F., & Pantus, F. (2020). PENYEDIAAN AIR BERSIH DAN SANITASI: BENTUK KETERLIBATAN MASYARAKAT DALAM PEMBANGUNAN BERKELANJUTAN. Jurnal Pendidikan Kewarganegaraan, 10(2), Article 2. https://doi.org/10.20527/kewarganegaraan.v10i2.9318
Yahya, M. (2022). Algoritma K-Means Untuk Klasifikasi Provinsi di Indonesia Berdasarkan Paket Pelayanan Stunting. PANRITA: Journal of Science, Technology, and Arts, 1(2), Article 2.
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Published
2023-02-01
How to Cite
Muh. Isbar Pratama, & Lismayani, A. (2023). SIMULASI PEMODELAN MATEMATIKA SEIR TERHADAP PENGARUH SANITASI PADA KASUS STUNTING DI INDONESIA. Proximal: Jurnal Penelitian Matematika Dan Pendidikan Matematika, 6(1), 224–231. https://doi.org/10.30605/proximal.v6i1.2230
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