Stunting Sistem Cerdas Mendiagnosa Stunting pada Anak Menggunakan Mesin Inferensi

  • Tugiono
    STMIK Triguna Dharma

  • Afdal Alhafiz
    STMIK Triguna Dharma

  • Hafizah
    STMIK Triguna Dharma


Abstract

Stunting is an unresolved nutritional problem in Indonesia. Stunting is a physical growth disorder characterized by a decrease in growth speed and is the impact of nutritional imbalances. Stunting will cause long-term impacts, namely disruption of physical, mental, intellectual, and cognitive development. Children who are stunted until the age of 5 years will be difficult to repair so that it will continue into adulthood and can increase the risk of offspring with low birth weight. Low economic factors cause people to think twice about consulting on stunting with doctors or nutritionists. In addition, the reluctance to come to the Puskesmas is an indicator of the low level of public awareness of children's health. Whereas the Puskesmas is a place that provides information about the problem of stunting. This is one of the causes of the delay in reducing the prevalence of stunting. An expert system is a system that seeks to adopt human abilities or knowledge into computers, so that computers can work in solving a problem like an expert or someone who has knowledge in a particular field. Utilization of expert systems with certainty factor methods and forward chaining inference engines will greatly help facilitate the community in making an early diagnosis of stunting in children, so that people can take initial treatment if their child is diagnosed with stunting. With this facility, of course, the risk of increasing stunting in children can be reduced and even prevention is carried out.

References

[1] E. M. Masereka, A. Kiconco, E. Katsomyo, and C. Munguiko, “The Prevalence and Determinants of Stunting among Children 6 - 59 Months of Age in One of the Sub-Counties in the Rwenzori Sub-Region, Western Uganda,” Open J. Nurs., vol. 10, no. 03, pp. 239–251, 2020, doi: 10.4236/ojn.2020.103016.
[2] Y. E. Purnamaningrum, K. D. Pertiwi, Margono, and D. Iswara, “ Analysis of Factors Related to Stunting Prevention in Children Aged 2-5 Years,” J. Ilmu Kesehat. Interes., vol. 10, no. 2, pp. 262–274, 2021.
[3] E. Maywita, “Faktor Risiko Penyebab Terjadinya Stunting Pada Balita Umur 12-59 Bulan Di Kelurahan Kampung Baru Kec. Lubuk Begalung Tahun 2015,” J. Ris. Hesti Medan Akper Kesdam I/BB Medan, vol. 3, no. 1, p. 56, 2018, doi: 10.34008/jurhesti.v3i1.24.
[4] B. Basiroh and S. W. Kareem, “Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method,” Int. J. Artif. Intell. Res., vol. 5, no. 1, pp. 44–52, 2021, doi: 10.29099/ijair.v5i1.203.
[5] K. E. Setyaputri, A. Fadlil, and S. Sunardi, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018, doi: 10.15294/jte.v10i1.14031.
[6] S. Nugraha, “Sistem Pakar Diagnosis Gizi Pada Balita Menggunakan Metode Certainty Factor Dengan Mesin Inferensi Forward Chaining Berbasis Website,” JATI (Jurnal Mhs. Tek. Inform., vol. 2, no. 1, pp. 167–175, 2018, [Online]. Available: https://ejournal.itn.ac.id/index.php/jati/article/view/1264.
[7] R. M. Rahayu, E. P. Pamungkasari, and C. Wekadigunawan, “The Biopsychosocial Determinants of Stunting and Wasting in Children Aged 12-48 Months,” J. Matern. Child Heal., vol. 03, no. 02, pp. 105–118, 2018, doi: 10.26911/thejmch.2018.03.02.03.
[8] H. Marlina, A. Triana, and E. Fanora, “Causes of Stunting in Toddlers: Literature Review,” Int. J. Multidiscip. Res. Growth Eval., no. March, pp. 138–142, 2022, doi: 10.54660/anfo.2021.3.1.11.
[9] E. Kusumawati, S. Rahardjo, and H. P. Sari, “Model of Stunting Risk Factor Control among Children under Three Years Old,” Kesmas Natl. Public Heal. J., vol. 9, no. 3, p. 249, 2015.
[10] S. Liem, D. R. F. Marta, and P. D. phil. H. Panggabean, “Sanitation Behavior and Risk of Stunting: Understanding the Discourse of a Public Service Announcement,” J. Messenger, vol. 11, no. 2, p. 168, 2019, doi: 10.26623/themessenger.v11i2.1317.
[11] A. H. Angkat, Penyakit Infeksi dan Praktek Pemberian MP-ASI Terhadap Kejadian Stunting Pada Anak Usia 12-36 Bulan di Kecamatan Simpang Kiri Kota Subulussalam, vol. 1, no. 1. 2018.
[12] J. West et al., “Stunting-Related Knowledge: Exploring Sources of and Factors Associated with Accessing Stunting-Related Knowledge among Mothers in Rural Indonesia,” Health (Irvine. Calif)., vol. 10, no. 09, pp. 1250–1260, 2018, doi: 10.4236/health.2018.109096.
[13] S. Eilat-Adar, I. Periquito, A. Mo, A. Zeev, R. Golan, and N. Gunaratnam, “Nutritional Intervention at a Girl’s Orphanage in Sri Lanka Decreased Stunting after One Year,” Health (Irvine. Calif)., vol. 13, no. 01, pp. 60–67, 2021, doi: 10.4236/health.2021.131006.
[14] S. A. Sakti, “Pengaruh Stunting pada Tumbuh Kembang Anak Periode Golden Age,” J. Ilm. Fak. Kegur. dan Ilmu Pendidik., vol. 6, no. 1, pp. 169–175, 2020, [Online]. Available: http://ejournal.unsub.ac.id/index.php/FKIP.
[15] Indah Budiastutik and Muhammad Zen Rahfiludin, “Faktor Risiko Stunting pada anak di Negara Berkembang ,” Amerta Nutr., vol. 3, no. 3, pp. 122–129, 2019, doi: 10.2473/amnt.v3i3.2019.122-129.
[16] M. D. P. Nazidah, R. Fauziah, R. Hafidah, J. Jumiatmoko, and N. E. Nurjanah, “Pengaruh Stunting pada Kognitif Anak Usia Dini,” Yinyang J. Stud. Islam Gend. dan Anak, vol. 17, no. 1, pp. 59–72, 2022, doi: 10.24090/yinyang.v17i1.4964.
[17] F. Wajidi and D. N. Nur, “Sistem Pakar Diagnosis Penyakit Stunting pada Balita menggunakan Metode Forward Chaining,” J. Inform. Univ. Pamulang, vol. 6, no. 2, pp. 401–407, 2021, [Online]. Available: http://openjournal.unpam.ac.id/index.php/informatika401.
[18] Y. Yuliana, P. Paradise, and K. Kusrini, “Sistem Pakar Diagnosa Penyakit Ispa Menggunakan Metode Naive Bayes Classifier Berbasis Web,” CSRID (Computer Sci. Res. Its Dev. Journal), vol. 10, no. 3, p. 127, 2021, doi: 10.22303/csrid.10.3.2018.127-138.
[19] D. Sutio, “Analisis Faktor-Faktor Risiko terhadap Kejadian Stunting pada Balita,” J. Dep. Gizi Fak. Kesehat. Masarakat, vol. Vol. 28 No, pp. 247–256, 2017.
[20] D. Susanto, A. Fadlil, and A. Yudhana, “Application of the Certainty Factor and Forward Chaining Methods to a Goat Disease Expert System,” Khazanah Inform., vol. 6, no. 2, pp. 158–164, 2020, [Online]. Available: https://journals.ums.ac.id/index.php/khif/article/view/10867.
[21] R. Rachman, “Penerapan Sistem Pakar Untuk Diagnosa Autis Dengan Metode Forward Chaining,” J. Inform., vol. 6, no. 2, pp. 218–225, 2019, doi: 10.31311/ji.v6i2.5522.
[22] I. Sumartono et al., “Expert System of Catfish Disease Determinants Using Certainty Factor Method,” Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 202–209, 2017, doi: 10.23883/ijrter.2017.3405.tcyz2.
[23] A. Supiandi and D. B. Chandradimuka, “Sistem Pakar Diagnosa Depresi Mahasiswa Akhir Dengan Metode Certainty Factor Berbasis Mobile,” J. Inform., vol. 5, no. 1, pp. 102–111, 2018, doi: 10.31311/ji.v5i1.2872.
[24] R. Rachman and A. Mukminin, “Penerapan Metode Certainty Factor Pada Sistem Pakar Penentuan Minat dan Bakat Siswa SD,” Khazanah Inform. J. Ilmu Komput. dan Inform., vol. 4, no. 2, p. 90, 2018, doi: 10.23917/khif.v4i2.6828.
[25] H. Fahmi, “Sistem Pakar Mendiagnosa Penyakit Mata KatarakDengan Metode Certainty Factor Berbasis Web,” Matics, vol. 11, no. 1, p. 27, 2019, doi: 10.18860/mat.v11i1.7673.
Published
2022-12-31
Section
Articles
How to Cite
Tugiono, Alhafiz, A., & Hafizah. (2022). Stunting Sistem Cerdas Mendiagnosa Stunting pada Anak Menggunakan Mesin Inferensi. Jurnal Informasi Dan Teknologi, 4(4), 236-241. https://doi.org/10.37034/jidt.v4i4.237