Published: 2024-04-20

Classification of Drug Data Usage Using the K-Means Deep Algorithm to Minimize Drug Stock Shortages (Case Study: South Cikarang Community Health Center)

DOI: 10.35870/ijsecs.v4i1.2366

Muhamad Risvan Mantona, Ahmad Turmudi Zy, Agus Suwarno
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Abstract

Efficient utilization of medicines is essential for effective health service delivery, especially in community health centers. This research explores the application of the K-Means clustering algorithm to categorize drug usage data and minimize stock shortages. This research, conducted at the South Cikarang Community Health Center, analyzed drug use patterns to identify drugs with high and low demand. Through data collection, cleaning, and pre-processing, medication use data is converted into a format suitable for clustering analysis. The clustering method approach can be applied to analyze the level of drug use produced by utilizing data sets to record the process of drug data results. The K-Means algorithm model applied has results that show new insights, namely grouping usage levels based on 2 clusters; cluster 1 (C0) is a high potential category consisting of 3.4 data from the tested dataset, and cluster 2 (C1) is Low Potential. Consists of 7.2 tested data, right? Collaborative testing can also produce collaborative testing results that show an average figure of 0.545.

Keywords

Drug Data ; Products ; Machine Learning ; K -Means ; Clustering

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Mantona, M. R., Turmudi Zy, A., & Suwarno, A. (2024). Classification of Drug Data Usage Using the K-Means Deep Algorithm to Minimize Drug Stock Shortages (Case Study: South Cikarang Community Health Center). International Journal Software Engineering and Computer Science (IJSECS), 4(1), 225-233. https://doi.org/10.35870/ijsecs.v4i1.2366
Article Information

This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 4 No. 1 (2024)

  • Section: Articles

  • Published: %750 %e, %2024

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Author Biographies
Muhamad Risvan Mantona
Google Scholar ResearchGate ORCID

Informatics Engineering Study Program, Faculty of Engineering, Universitas Pelita Bangsa, Bekasi Regency, West Java Province, Indonesia

Ahmad Turmudi Zy
Google Scholar ResearchGate ORCID

Informatics Engineering Study Program, Faculty of Engineering, Universitas Pelita Bangsa, Bekasi Regency, West Java Province, Indonesia

Agus Suwarno
Google Scholar ResearchGate ORCID

Informatics Engineering Study Program, Faculty of Engineering, Universitas Pelita Bangsa, Bekasi Regency, West Java Province, Indonesia

References
  • Syaripudin, G. A., & Faizal, E. (2017). Implementasi Algoritma Apriori Dalam Menentukan Persediaan Obat. JIKO (Jurnal Informatika dan Komputer), 2(1), 10–14. https://doi.org/10.26798/Jiko.2017.V2i1.56.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Dacwanda, D. O., & Nataliani, Y. (2021). Implementasi k-Means Clustering untuk Analisis Nilai Akademik Siswa Berdasarkan Nilai Pengetahuan dan Keterampilan. Aiti, 18(2), 125-138. https://doi.org/10.24246/Aiti.V18i2.125-138.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Purnamayanti, A., Winantari, A. N., Parfati, N., Diana, I., Latifah, N., & Setyowati, T. (2016). Kesalahan Penggunaan Obat Ibu dan Balita Peserta Posyandu di Kecamatan Sukolilo, Surabaya. MPI (Media Pharmaceutica Indonesiana), 1(1), 35-44. https://doi.org/10.24123/Mpi.V1i1.51.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Musthafa, A., & Wibowo, A. (2020, July). Analisis Pola Penjualan Produk Vitamin Menggunakan Algoritma Apriori. In Prosiding Seminar Nasional Riset Information Science (SENARIS) (Vol. 2, pp. 62-74).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Saputra, R., & Sibarani, A. J. (2020). Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 7(2), 262-276. https://doi.org/10.35957/Jatisi.V7i2.195.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Yanto, R., & Khoiriah, R. (2015). Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat. Creative Information Technology Journal, 2(2), 102-113. https://doi.org/10.24076/Citec.2015v2i2.41.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Widi, G., Nofriansyah, D., & Dicky. (2015). Algoritma dan Pengujian Data Mining. CV Budi Utama.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Anderson, K. D. (2011). Appraisal learning networks: How university archivists learn to appraise through social interaction. University of California, Los Angeles.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Listriani, D., Setyaningrum, A. H., & Eka, F. (2016). Application of the Association Method Using the Apriori Algorithm in the Consumer Shopping Pattern Analysis Application (Case Study of the Gramedia Bintaro Bookstore). Journal of Informatics Engineering, 9(2), 120-127. https://doi.org/10.15408/Jti.V9i2.5602.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Djamaludin, I., & Nursikuwagus, A. (2017). Analisis pola pembelian konsumen pada transaksi penjualan menggunakan algoritma apriori. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 8(2), 671-678. https://doi.org/10.24176/Simet.V8i2.1566.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Hegland, M. (2007). The apriori algorithm–a tutorial. Mathematics and computation in imaging science and information processing, 209-262.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Syahril, M., Erwansyah, K., & Yetri, M. (2020). Penerapan Data Mining untuk menentukan pola penjualan peralatan sekolah pada brand wigglo dengan menggunakan algoritma apriori. Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD, 3(1), 118-136. https://doi.org/10.53513/jsk.v3i1.202.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sintia, S., Poningsih, P., Saragih, I. S., Wanto, A., & Damanik, I. S. (2019, September). Penerapan algoritma apriori dalam memprediksi hasil penjualan sparepart pc (studi kasus: toko sentra computer). In Prosiding Seminar Nasional Riset Information Science (SENARIS) (Vol. 1, pp. 910-917). https://doi.org/10.30645/Senaris.V1i0.99.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mudakir, Turmudi Zy, A., & Sunge, A. S. (2023). Penerapan Data Mining Untuk Klasifikasi Pengangkatan Karyawan Menggunakan Algoritma K-Means. Jurnal Informatika Teknologi dan Sains (Jinteks), 5(3), 489-497. https://doi.org/10.51401/Jinteks.V5i3.3369.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Kristanto, B., Zy, A. T., & Fatchan, M. (2023). Analisis Penentuan Karyawan Tetap Dengan Algoritma K-Means Dan Davies Bouldin Index. Bulletin of Information Technology (BIT), 4(1), 112-120. https://doi.org/10.47065/Bit.V4i1.521.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Syaikhuddin, M. M., & Prihandoko, P. (2017). Penerapan Algoritma K-Means dan Cure Dalam Menganalisa Pola Perubahan Belanja Dari Retail ke E-Commerce. Energy: Jurnal Ilmiah Ilmu-Ilmu Teknik, 7(2), 44-49.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
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