Analysis of k-medoids clustering on toddler immunization in north sumatra province

Authors

  • Lena Sapura STIKOM Tunas Bangsa
  • M. Safii STIKOM Tunas Bangsa

DOI:

https://doi.org/10.35335/computational.v11i3.50

Keywords:

Data Mining, Clustering, K-Medoids, Immunization

Abstract

Immunization is a process to increase the body's immune system by inserting a vaccine, namely a virus or bacteria that has been weakened, killed, or parts of the bacteria (virus) have been modified. The purpose of this study was to group children's immunization data according to districts/cities in North Sumatra Province using the K-Medoids Data Mining algorithm. The K-Medoids algorithm or pattern known as PAM (Partitioning Around Medoids) uses the partitioning clustering method to group a set of n objects into a number of K clusters. The data in this study is sourced from the Central Bureau of Statistics of North Sumatra. The grouping was carried out based on the number of recipients of the DPT-HB and Measles/MR vaccines from 33 districts/cities in North Sumatra Province. The results of the study are expected to be taken into consideration for local governments, especially the Ministry of Health in the distribution of immunization for children under five with the type of immunization to achieve the national target set by the Ministry of Health, which is 79.1%.

References

L. E. Duijzer, W. van Jaarsveld, and R. Dekker, “Literature review: The vaccine supply chain,” Eur. J. Oper. Res., vol. 268, no. 1, pp. 174–192, 2018, doi: https://doi.org/10.1016/j.ejor.2018.01.015.

A. Negussie, W. Kassahun, S. Assegid, and A. K. Hagan, “Factors associated with incomplete childhood immunization in Arbegona district, southern Ethiopia: a case--control study.,” BMC Public Health, vol. 16, p. 27, Jan. 2016, doi: 10.1186/s12889-015-2678-1.

N. Najikhah, N. Nurjannah, M. Mudatsir, S. Usman, and I. Saputra, “Determinants of Complete Basic Immunization in Children Aged 12-23 Months in Indonesia,” Budapest Int. Res. Exact Sci. (BirEx Journal), vol. 3, no. 4, pp. 304–318, 2021.

R. Thapar et al., “Vaccine hesitancy among mothers of under-five children in Coastal South India: a facility-based cross-sectional study.,” F1000Research, vol. 10. 2021, doi: 10.12688/f1000research.28293.2.

D. A. Salmon, L. H. Moulton, S. B. Omer, M. P. deHart, S. Stokley, and N. A. Halsey, “Factors Associated With Refusal of Childhood Vaccines Among Parents of School-aged Children: A Case-Control Study,” Arch. Pediatr. Adolesc. Med., vol. 159, no. 5, pp. 470–476, May 2005, doi: 10.1001/archpedi.159.5.470.

D. Greyson and J. A. Bettinger, “How do mothers’ vaccine attitudes change over time?,” SSM - Qual. Res. Heal., vol. 2, p. 100060, 2022, doi: https://doi.org/10.1016/j.ssmqr.2022.100060.

A. K. Simon, G. A. Hollander, and A. McMichael, “Evolution of the immune system in humans from infancy to old age.,” Proceedings. Biol. Sci., vol. 282, no. 1821, p. 20143085, Dec. 2015, doi: 10.1098/rspb.2014.3085.

E. Parasidis and D. J. Opel, “Parental Refusal of Childhood Vaccines and Medical Neglect Laws.,” Am. J. Public Health, vol. 107, no. 1, pp. 68–71, Jan. 2017, doi: 10.2105/AJPH.2016.303500.

S. Samudi, S. Widodo, and H. Brawijaya, “The K-Medoids Clustering Method for Learning Applications during the COVID-19 Pandemic,” SinkrOn, vol. 5, p. 116, Oct. 2020, doi: 10.33395/sinkron.v5i1.10649.

H. D. Tampubolon, S. Suhada, M. Safii, S. Solikhun, and D. Suhendro, “Penerapan Algoritma K-Means dan K-Medoids Clustering untuk Mengelompokkan Tindak Kriminalitas Berdasarkan Provinsi,” J. Ilmu Komput. dan Teknol., vol. 2, no. 2, pp. 6–12, 2021, doi: 10.35960/ikomti.v2i2.703.

E. F. T. Butarbutar and M. Safii, “Journal of Artificial Intelligence and Engineering Applications K-Medoids Algorithm Analysis in Grouping Students’ Level of Understanding of Subjects,” vol. 1, no. 1, pp. 6–13, 2021, [Online]. Available: https://ioinformatic.org/.

D. D. Angraini, M. Safii, and F. Anggraini, “A Oil Palm Harvest Grouping Using K-Medoids Algorithm,” Int. J. Basic Appl. Sci., vol. 10, no. 2, pp. 60–68, 2021, doi: 10.35335/ijobas.v10i2.56

Downloads

Published

2022-11-30

How to Cite

Sapura, L., & M. Safii. (2022). Analysis of k-medoids clustering on toddler immunization in north sumatra province. International Journal of Mechanical Computational and Manufacturing Research, 11(3), 143–148. https://doi.org/10.35335/computational.v11i3.50

Issue

Vol. 11 No. 3 (2022): November: Mechanical Computational And Manufacturing Research

Section

Articles

License

Copyright (c) 2022 Lena Sapura, M. Safii

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.