Pengelompokan Data Kasus Keracunan Makanan Biologis Berdasarkan Faktor Penyebab Menggunakan Metode Clustering

Dwi Astuti; Relita Buaton; Magdalena Simanjuntak

doi:10.62951/bridge.v2i4.199

Pengelompokan Data Kasus Keracunan Makanan Biologis Berdasarkan Faktor Penyebab Menggunakan Metode Clustering

Authors

Dwi Astuti STMIK Kaputama
Relita Buaton STMIK Kaputama
Magdalena Simanjuntak STMIK Kaputama

DOI:

https://doi.org/10.62951/bridge.v2i4.199

Keywords:

Data Mining, K-Means Algoritm, Food Poisoning

Abstract

Cases of biological food poisoning can be caused by several causative factors, one of which is a food processing site that does not meet health requirements. According to the BPOM report (2016) cases of food poisoning in Indonesia in 2016 reached 1,068 cases. In 2016, 60 extraordinary events (KLB) of food poisoning were reported by 31 BB/BPOM throughout Indonesia. From the many cases of food poisoning that occur, it is necessary to take action in prevention by processing data on existing cases of poisoning to follow up on existing problems to reduce the number of cases of food poisoning by using a system on a computer so that the managed data can be processed quickly to obtain further information. Therefore the author wants to use a system with the clustering method to assist in processing data on biological poisoning cases grouping objects based on the characteristics of each object. Based on the research conducted, it can be seen that in cluster 2 in the dasta group of biological poisoning cases there are 11 data with centroid point age (x) 2, namely 12-16 years, centroid point on the type of poisoning (y) 6.36, namely sandwiches, and centroid point on the causative factor (z) 2.9, namely Gram-negative rod-shaped bacteria which are usually found in the intestines of humans and warm-blooded animals.

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Published

2024-08-28

How to Cite

Dwi Astuti, Relita Buaton, & Magdalena Simanjuntak. (2024). Pengelompokan Data Kasus Keracunan Makanan Biologis Berdasarkan Faktor Penyebab Menggunakan Metode Clustering. Bridge : Jurnal Publikasi Sistem Informasi Dan Telekomunikasi, 2(4), 19–31. https://doi.org/10.62951/bridge.v2i4.199