Penerapan Algoritma K-Means Clustering Untuk Data Obat
DOI:
https://doi.org/10.30865/klik.v4i1.1117Keywords:
Drug Data Processing; Puskesmas; Data Mining; K-Means ClusteringAbstract
In the process of planning and controlling the supply of UPT drug stock. Unter Iwes Sumbawa Community Health Center is not yet optimal because the problem of inaccuracy in analyzing drug needs affects the amount needed and demand for medicine. In this study, drug data analysis was conducted by applying the K-Means Clustering algorithm. Drug data is grouped based on usage levels C1, C2, and C3 (low, medium, high) with attributes namely Drug Name, Unit, Supply, Demand and Usage. The results of this study can provide a strategy as a reference for future drug planning and needs. From the results of drug data testing from January to December 2022 with a total of 4,642 data and training data totaling 4,622. The results of the performance of grouping drugs using the Davies Bouldin method of 0.513 clusters of C1/C0 (low) data were 4433 items with 4000 uses. C2/C3 cluster (medium) is 184 items with 10,850 drug use and C3/C2 cluster (high) is 5 items with
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References
Darmawan, D., Non formal, R. P., Keguruan, F., & Pendidikan, D. I. (2022). Hasil Pemberdayaan Masyarakat Oleh Koperasi Simpan Pinjam Sebagai Upaya Mewujudkan Kesejahteraan Ekonomi Di Koperasi Serba Usaha Mandiri Kasemen, Kota Serang. Http://Dx.Doi.Org/10.30870/E-Plus.V5i2.9260
Taslim, & Fahrizal. (2018). Penerapan Algoritma K-Mean Untuk Clustering Data Obat Pada Puskesmas Rumbai. https://Doi.Org/10.31849/Digitalzone.V7i2.602
Pangestu, B. A., Kristiawan, N. A., Sulistiyowati, N., Singaperbangsa, U., & Abstract, K. (2022). Clustering Obat Untuk Menentukan Pola Pemasaran Efektif Di Apotek Amarta Sehat. Jurnal Ilmiah Wahana Pendidikan, 8(16), 115–126. https://Doi.Org/10.5281/Zenodo.7058995
Nabila, Z., Isnain, A. R., Permata, & Abidin, Z. (2021). Analisis Data Mining Untuk Clustering Kasus Covid-19 Di Provinsi Lampung Dengan Algoritma K-Means. Jurnal Teknologi Dan Sistem Informasi (Jtsi), 2. Https://Doi.Org/10.33365/Jtsi.V2i2.868
I. K. Juni Arta, G. Indrawan, and G. R. Dantes, “Data Mining Rekomendasi Calon Mahasiswa Berprestasi Di Stmik Denpasar Menggunakan Metode Technique for Others Reference By Similarity To Ideal Solution,” JST (Jurnal Sains dan Teknol., vol. 5, no. 2, pp. 11–21, 2017, doi: 10.23887/jstundiksha.v5i2.8549.
R. Haqmanullah Pambudi, B. Darma Setiawan, and Indriati, “Penerapan Algoritma C4.5 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 7, pp. 2637–2643, 2018, [Online]. Available: http://j-ptiik.ub.ac.id
N. S. Luki Ardiantoro , Soffa Zahara, “Pemanfaatan Knowledge Data Discovery(KDD) Pada Pola Permainan Atlet Bulutangkis,” Explor. IT J. Keilmuan dan Apl. Tek. Inform., vol. 11, no. 1, pp. 1–6, 2019, doi: 10.35891/explorit.v11i1.1467.
Haviluddin, Sukmono, Y., Suprihanto, D., Harjanto, A., & Murtiyoso, O. A. (2022). Model Clustering Pemakaian Obat Menggunakan Algoritma K-Means. Journal Of Computing Engineering, System And Science. Https://doi.org/10.47024/js.v10i3.510
Rizki, M. Y., Maysaroh, S., & Windarto, A. P. (2021). Implementasi K-Means Clustering Dalam Pengelompokkan Minat Membaca Penduduk Menurut Wilayah. Jurnal Sistem Informasi, Teknologi Informasi Dan Komputer, 11. https://Doi.Org/10.24853/Justit.11.2.41-49
Chusyairi, A., & Saputra, P. R. N. (2019). Pengelompokan Data Puskesmas Banyuwangi Dalam Pemberian Imunisasi Menggunakan Metode K-Means Clustering. 12. Http://Dx.Doi.Org/10.35671/Telematika.V12i2.848
Pangestu, B. A., Kristiawan, N. A., Sulistiyowati, N., Singaperbangsa, U., & Abstract, K. (2022a). Clustering Obat Untuk Menentukan Pola Pemasaran Efektif Di Apotek Amarta Sehat. Jurnal Ilmiah Wahana Pendidikan, 8(16), 115–126. https://Doi.Org/10.5281/Zenodo.7058995
Denny Jollyta, William Ramadhan, & Muhammad Zarlis. (2020). Konsep Data Mining Dan Penerapan (Dwi Novidianntoko, Ed.). September 2020.
Nasir, J. (2020). Penerapan Data Mining Clustering Dalam Pengelompokan Buku Dengan Metode K-Means. In Jurnal Simetris (Vol. 11). Https://doi.org/10.33022/ijcs.v10i1.3008
Gustientiedina, Adiya, M. H., & Desnelitab, Y. (2019). Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan Pada Rsud Pekanbaru. Jurnal Nasional Teknologi Dan Sistem Informasi, 2019, 017–024. https://Doi.Org/10.25077/Teknosi.V5i1.2019.17-24
A. Damuri, U. Riyanto, H. Rusdianto, and M. Aminudin, “Implementasi Data Mining dengan Algoritma Naïve Bayes Untuk Klasifikasi Kelayakan Penerima Bantuan Sembako,” JURIKOM (Jurnal Ris. Komputer), vol. 8, no. 6, p. 219, 2021, doi: 10.30865/jurikom.v8i6.3655.
N. Yahya and A. Jananto, “Komparasi Kinerja Algoritma C.45 Dan Naive Bayes Untuk Prediksi Kegiatan Penerimaanmahasiswa Baru (Studi Kasus?: Universitas Stikubank Semarang),” in Prosiding SENDI, 2019, no. 2014, pp. 978–979. [Online]. Available: https://www.unisbank.ac.id/ojs/index.php/sendi_u/article/view/7389/2369
S. Hartati, N. A. Ramdhan, and H. A. San, “Prediksi Kelulusan Mahasiswa Dengan Naïve Bayes Dan Feature Selection Information Gain Student Graduation Prediction With Naïve Bayes and Feature Selection Information Gain,” J. Ilm. Intech Inf. Technol. J. UMUS, vol. 4, no. 02, pp. 223–234, 2022, [Online]. Available: http://jurnal.umus.ac.id/index.php/intech/article/view/889
D. H. Kamagi and S. Hansun, “Implementasi Data Mining dengan Algoritma C4.5 untuk Memprediksi Tingkat Kelulusan Mahasiswa,” J. Ultim., vol. 6, no. 1, pp. 15–20, 2014, doi: 10.31937/ti.v6i1.327.
K. N. Anjumi, “Penerapan Data Mining untuk Analisis Pola Pembelian Pelanggan menggunakan Algoritma Apriori (Studi Kasus: Toko Diengva Bandar Jaya)”, Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia, Bandar Lampung, 2020.
H. I. Muttaqiin, “Penerapan Data Mining pada Penjualan Sembako menggunakan Algoritma Apriori pada Amanah Pasuruan dalam Menentukan Strategi Penjualan,” thesis, Program Studi Teknik Informatika, Fakultas Rekayasa Sistem, Universitas Teknnologi Sumbawa, 2021.
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