Analysis of Room Allocation Based on Age in Nursing Homes Using the C4.5 Decision Tree Method

Zulham Sitorus; Muhammad Indra

Authors

Zulham Sitorus Universitas Pembangunan Panca Budi, Indonesia
Muhammad Indra Universitas Pembangunan Panca Budi, Indonesia

Keywords:

Decision Tree, C4.5, Data Mining

Abstract

This study analyzes the effectiveness of the C4.5 Decision Tree algorithm in managing room allocation in nursing homes based on the residents' ages. Using a dataset of 333 entries, which includes age and room names, the study aims to determine the most suitable room placements. The analysis process involves preprocessing the data to simplify the dataset, followed by the application of the C4.5 Decision Tree model using the RapidMiner platform. The results indicate that the algorithm effectively classifies residents into room names such as Jambu, Nenas, Jeruk, and others based on their age. These findings provide insights into how age influences room placement in nursing homes and enable more optimal facility management. The study also recommends considering additional factors in further analyses to enhance the accuracy of resident placement.

References

Hermawan, A. K., Nugroho, A., & Edora. (2023). Analisa Data Mining Untuk Prediksi Penyakit Ginjal Kronik Dengan Algoritma Regresi Linier. Bulletin of Information Technology (BIT), 4(1), 37–48. https://doi.org/10.47065/bit.v3i1

Limet, O. B., & Rijal, S. (2023). Algoritma Apriori Untuk Mengklasifikasikan Penjualan Beras Pada Toko Beras Cahaya Putra. Jurnal Jurnal Sains Dan Teknologi (JSIT), 3(3), 293–300.

Mubaroq, M. A., & Ilham, M. F. (2023). Peran Teknologi dalam Peningkatan dan Efektivitas Proses Pembelajaran. MASALIQ, 3(4), 541–549. https://doi.org/10.58578/masaliq.v3i4.1209

Muhadi, A., & Octaviano, A. (2023). Penerapan Data Mining Untuk Prediksi Hasil Keuntungan Lelang Mesin X-Ray Tahun 2020 Dengan Metode K-Nearest Neighbor (Studi Kasus : PT.Ramadika Mandiri). In Jurnal Informatika MULTI (Vol. 1, Issue 2). https://jurnal.publikasitecno.id/index.php/jim126

Pangestu, F., Yasin, N., Hasugian, R. C., & Yunita. (2023). Penerapan Algoritma K-Means Untuk Mengklasifikasi Data Obat. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 12(1), 53–62. https://doi.org/10.32736/sisfokom.v12i1.1461

Sri Utami, W., Pratiwi, N., & Faisal, M. (2023). Bulletin of Information Technology (BIT) Penerapan Data Mining Menggunakan Algoritma K-Means Untuk Clustering Perokok Usia Lebih dari 15 Tahun. Bulletin of Information Technology (BIT), 4(4), 501–507. https://doi.org/10.47065/bit.v3i1

Tasia, E., Ismail, R. Z. I. Z., Loka, S. K. P., Ikhsani, Y., & Oeviani Rahweni. (2023). Klasifikasi Penyakit Gagal Jantung Menggunakan Supervised Learning. Institut Riset Dan Publikasi Indonesia (IRPI) SENTIMAS: Seminar Nasional Penelitian Dan Pengabdian Masyarakat, 1–7. https://journal.irpi.or.id/index.php/sentimas

Wahyuni, S., Saraswaty, R., & Barky, N. Y. (2022). Penerapan Tema Arsitektur Perilaku Pada Bangunan Panti. Jompo Di Deli Serdang. Undagi : Jurnal Ilmiah Arsitektur Universitas Warmadewa, 10(2), 273–279. https://ejournal.warmadewa.ac.id/index.php/undagi/index