ALGORITMA K-MEANS DALAM IMPLEMENTASI BIDANG PEKERJAAN

Authors

  • Akmal Khansa Al Irsyad Politeknik Imigrasi
  • Priati Assiroj Politeknik Imigrasi
  • Besse Hartati Politeknik Imigrasi

DOI:

https://doi.org/10.23969/jp.v10i02.26772

Keywords:

data mining, k-means clustering, classification

Abstract

Rapid technological advances have affected various fields, especially in data management. The increasing volume of data generated from various sources demands efficient management and analysis methods. Data mining techniques offer a structured approach in processing, classifying, and grouping data to support decision making in various fields. This study is a systematic review of the application of data mining techniques, with a primary focus on the K-Means Clustering algorithm. This study analyzes the trend of data mining applications, especially in data classification and grouping to improve the effectiveness of decision making. Based on a systematic literature review, it was found that the K-Means Clustering algorithm is widely applied in sales analysis, market segmentation, stock optimization, and predictions in the social and health fields. In addition, other algorithms such as Decision Tree, Naïve Bayes, and K-Nearest Neighbor are also commonly used in predictive analysis and data classification. This study provides insight into the effectiveness of various data mining techniques and their future development opportunities.

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References

Dan, Ardilla, Y., Manuhutu, A., Ahmad, N., Hasbi, I., Agnes Manuhutu, M., Ridwan, M., Khrisna Wardhani, A., Alim, S., Romli, I., Religia, Y., Tri Octafian, D., Utan Sufandi, U., & Ernawati, I. (2021). DATA MINING. www.penerbitwidina.com

Assiroj, P. (2022). IMPLEMENTASI METODE SEARCH ENGINE OPTIMIZATION (SEO) PADA SITUS WEB IMIGRASI WONOSOBO. INFOTECH Journal, 8(1). https://doi.org/10.31949/infotech.v8i1.2239

Awailiyah, C., Oktaviana, D., & Herlambang, Y. T. (2024). Tantangan dan Peluang Teknologi dalam Dinamika Kehidupan di Era Teknologi. UPGRADE : Jurnal Pendidikan Teknologi Informasi, 1(2). https://doi.org/10.30812/upgrade.v1i2.3729

Huda Abdaul Irkham. (2020). Perkembangan Teknologi Informasi dan Komunikasi (TIK) Terhadap Kulaitas Pembelajaran Di Sekolah Dasar Irkham Abdaul Huda (Vol. 2).

L Hartono, A., Assiroj, P., Priyatna, B., Nurhayati, Fauzi, A., Yuniar Rahman, A., & Shofiah Hilabi, S. (2021). Analysis of Drug Data Mining with Clustering Technique Using K-Means Algorithm. Journal of Physics: Conference Series, 1908(1). https://doi.org/10.1088/1742-6596/1908/1/012024

Manalu, D. A., & Gunadi, G. (2022). IMPLEMENTASI METODE DATA MINING K-MEANS CLUSTERING TERHADAP DATA PEMBAYARAN TRANSAKSI MENGGUNAKAN BAHASA PEMROGRAMAN PYTHON PADA CV DIGITAL DIMENSI. Infotech: Journal of Technology Information, 8(1), 43–54. https://doi.org/10.37365/jti.v8i1.131

Putri Yuanita, S., Lutfina, E., Dimentieva, I., Naufal Pribadi, A., Shaunan Syahidan, M., Alief Fauzan Akbar Safa, M., Loekito, J., Nuswantoro PSDKU Kediri, D., Penanggungan No, J., Lor, B., Kota, K., Kediri, K., & Timur, J. (2024). Science, Technology and Management Journal Identifikasi Teknik Data Mining Metode Asosiasi: Systematic Literature Review Info Artikel. Science Technology and Management Journal, 4(2), 57. https://doi.org/10.53416/stmj.v4i2

Romadhona, W., Indarmawan Nugroho, B., & Alim Murtopo, A. (2022). Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K-Means. Jurnal Minfo Polgan, 11(2), 100–104. https://doi.org/10.33395/jmp.v11i2.11797

S, U. (2023). Penerapan Data Mining Dengan Mengimplementasikan Algoritma K-Means Dalam Proses Clustering Untuk Pengelompokan Mahasiswa Calon Penerima Beasiswa KIP. Building of Informatics, Technology and Science (BITS), 5(1). https://doi.org/10.47065/bits.v5i1.3411

Sophia, A., & Jasmir. (2024). Penerapan Data Mining dalam Pengelompokan Uang Kuliah Tunggal (UKT) Menggunakan Metode K-Means Pada Universitas Jambi (Vol. 9, Issue 1).

Syahfitri, R. I., Ayu, D., Zahroh, S., Sinaga, H., Tanjung, H. Y., Fidorova, Y., & Rahmadhona Tumanggor, S. (2024). El-Mujtama: Jurnal Pengabdian Masyarakat Analisis Pengaruh Pola Makan terhadap Gastritis Menggunakan Metode PRISMA. https://doi.org/10.47467/elmujtama.v4i2.3391

Ulfah, M., & Sri Irtwaty, A. (2022). Penerapan Data Mining Clustering Menggunakan Metode K-Means Dalam Pengelompokan Buku Perpustakaan Politeknik Negeri Balikpapan.

Wibowo, A., & Sasongko, R. (2022). PENERAPAN DATA MINING PADA SUKU BUNGA INVESTASI DEPOSITO DI INDONESIA MENGGUNAKAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN PROFITABILITAS (Application of Data Mining on Deposit Investment Rate in Indonesia Using K-Means Clustering Method for Profitability Clustering). ASCARYA, 2(1). https://doi.org/10.53754/iscs.v2i1.369

Widiya, L. (2022). Penerapan Data Mining Pengelompokan Hasil Diagnosa Pasien BPJS Berdasarkan Usia Menggunakan Metode Clustering (Studi Kasus: RSU Bidadari Binjai) The Application of Data Mining for BPJS Patient Diagnostic Results Grouping by Age Using the Clustering Method (Case Study: RSU Bidadari Binjai). In JOURNAL OF INFORMATION AND TECHNOLOGY UNIMOR. www.kaputama.ac.id

Wiryany, D., Natasha, S., & Kurniawan, R. (2022). PERKEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIKASI TERHADAP PERUBAHAN SISTEM KOMUNIKASI INDONESIA. In Jurnal Nomosleca, Oktober (Vol. 8, Issue 2).

Zafira, F., Irawan, B., & Bahtiar, A. (2024). PENERAPAN DATA MINING UNTUK ESTIMASI STOK BARANG DENGAN METODE K-MEANS CLUSTERING. In Jurnal Mahasiswa Teknik Informatika (Vol. 8, Issue 1).

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Published

2025-06-28