Penerapan Algoritma K-Means Untuk Pendataan Obat Berdasarkan Laporan Bulanan Pada Dinas Kesehatan Kabupaten Lombok Timur

Authors

  • suhartini Suhartini Universitas Hamzanwadi
  • Lalu kerta wijaya universitas hamzanwadi
  • Nur Arini Pratiwi Universitas Hamzanwadi

DOI:

https://doi.org/10.29408/jit.v3i2.2315

Keywords:

K-Means, Drug, Record

Abstract

Medicine is one of the most important components in terms of health both to prevent reducing or cure a disease or symptoms of the disease bydoing medication processing every month can be a source decision making to ensure the availability of more effective and efficient drugs. However, the implementation of medicine for the health services district in lombok east has been affected by the difficulties dealt with with drug data documentation that resulted in increased drug use, and the distribution of drugs was hampered not only. Therefore there needs to be a method that helps the system of drug-filing systems based on monthly reports. K-means is expected to be able to group monthly medications that can be used as a model for planning medical supplies the following year, and the information generated from them can be used as a recommendation in both community centers and hospitals to improve public health services. The criteria for the most drugs in the East Lombok District Health Office were 193 items. This is because the usage is seen the most from monthly usage. There are 2 slices of drug use there are 2 slices, namely the first drug with group number 4, the item is less use than group 1. Second, there are drugs with group 3 number, the item which has the least use of group 1 and group 2.

DOI : 10.29408/jit.v3i2.2315

References

M. H. Adiya and Y. Desnelita, “Jurnal Nasional Teknologi dan Sistem Informasi Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan Pada RSUD Pekanbaru,†vol. 1, pp. 17–24, 2019.

M. A. Amri, D. Hartama, A. P. Windarto, G. F. K-means, and A. D. A. N. Pembahasan, “Penerapan Data Mining Pada Presentasi Penerimaan Imunisasi Anak-Anak Menurut Provinsi Menggunakan K-Means Clustering,†2020.

T. Anjarsari and A. Putra, “Pengelompokan Penyebaran Penyakit Ispa Di Wilayah Kota Sekayu Menggunakan Algoritma K-Means Clustering ( Studi Kasus : Rsud Sekayu ),†pp. 174–184, 2019.

A. S. Dzihni, R. Andreswari, and M. A. Hasibuan, “ScienceDirect ScienceDirect Business Process Analysis and Academic Information System Audit of Helpdesk Application using Genetic Algorithms a Process Mining Approach,†Procedia Comput. Sci., vol. 161, pp. 903–909, 2019.

C. Astria, A. P. Windarto, A. Wanto, and E. Irawan, “Metode K-Means Pada Pengelompokan Wilayah Pendistribusian Listrik,†pp. 306–312, 2019.

D. N. Batubara, A. P. Windarto, D. Hartama, and H. Satria, “Analisis Metode K-MEANS Pada Pengelompokan Keberadaan Area Resapan Air Menurut Provinsi,†no. x, pp. 345–349, 2019.

M. Anjelita, A. P. Windarto, and A. Wanto, “Analisis Metode K-Means pada Kasus Ekspor Barang Perhiasan dan Barang Berharga Berdasarkan Negara Tujuan,†pp. 476–482, 2019.

D. Novianti and N. Palasara, “Novianti, Klasterisasi Negara Pendaftar Paten Di Indonesia Menggunakan K-Means 446,†vol. 8, no. September, pp. 446–457, 2019.

V. Game, “Penerapan Algoritma K-Means Clustering pada Karakter Permainan Multiplayer Online Battle Arena,†vol. 6, no. 2, pp. 246–254, 2021.

A. M. Hemeida, S. Alkhalaf, A. Mady, E. A. Mahmoud, M. E. Hussein, and A. M. Baha, “Implementation of nature-inspired optimization algorithms in some data mining tasks,†Ain Shams Eng. J., vol. 11, no. 2, pp. 309–318, 2020.

I. P. E.- Issn, “Computer Based Information System Journal ANALISIS CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS Mesri Silalahi,†vol. 2, pp. 20–35, 2018.

M. G. Sadewo et al., “PENERAPAN ALGORITMA CLUSTERING,†vol. 2, pp. 311–319, 2018.

I. W. S. Wicaksana, “Data Mining Dengan Rapid Miner,†p. 8, 2015.

R. Setiawan and N. Tes, “PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING UNTUK MENENTUKAN STRATEGI PROMOSI MAHASISWA BARU ( Studi Kasus : Politeknik LP3I Jakarta ),†vol. 3, no. 1, pp. 76–92, 2016.

W. Gunawan et al., “ScienceDirect ScienceDirect Named-Entity Recognition for Indonesian Language using Named-Entity Recognition for Indonesian Language using Bidirectional LSTM-CNNs Bidirectional LSTM-CNNs,†Procedia Comput. Sci., vol. 135, pp. 425–432, 2018.

F. Sun, B. Yan, and D. Xin, “Biomedicine & Pharmacotherapy Data mining and systematic pharmacology to reveal the mechanisms of traditional Chinese medicine in Mycoplasma pneumoniae pneumonia treatment,†Biomed. Pharmacother., vol. 125, no. December 2019, p. 109900, 2020.

Published

31-07-2020

How to Cite

Suhartini, suhartini, wijaya, L. kerta, & Pratiwi, N. A. (2020). Penerapan Algoritma K-Means Untuk Pendataan Obat Berdasarkan Laporan Bulanan Pada Dinas Kesehatan Kabupaten Lombok Timur. Infotek: Jurnal Informatika Dan Teknologi, 3(2), 147–156. https://doi.org/10.29408/jit.v3i2.2315

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

<< < 1 2 3 4 > >> 

You may also start an advanced similarity search for this article.