Penerapan K-Means Clustering pada Dataset Global Disaster Response Menggunakan RapidMiner
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Abstract
This study applies the K-Means clustering method to the Global Disaster Response dataset from 2018 to 2024 to identify disaster patterns based on impact and response characteristics. The research employs a quantitative descriptive approach using data mining techniques and follows the Knowledge Discovery in Database (KDD) framework, including data understanding, preprocessing, clustering, evaluation, and interpretation. Data processing and clustering were performed using RapidMiner. The K-Means algorithm was tested with cluster numbers ranging from K = 2 to K = 10, and cluster quality was evaluated using the average within-centroid distance (avg). The results show a consistent decrease in avg values, from 6.336 (K2), 5.303 (K3), 4.824 (K4), 4.446 (K5), 4.245 (K6), 3.999 (K7), 3.844 (K8), 3.681 (K9), to 3.558 (K10). Based on the Elbow Method analysis, the most significant reduction occurs between K2 and K3, indicating that K = 3 is the optimal number of clusters. The resulting clusters represent low, medium, and high disaster risk levels. These findings demonstrate that the integration of K-Means and the Elbow Method using RapidMiner is effective for segmenting global disaster data and supporting disaster risk analysis and mitigation planning.
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References
Ainurrohma. (2021). Akurasi Algoritma Klasifikasi pada Software Rapidminer dan Weka. PRISMA, Prosiding Seminar Nasional Matematika, 4, 493–499. https://journal.unnes.ac.id/sju/index.php/prisma/
Hafiz, A. (2022). SOSIALISASI UNDANG-UNDANG NOMOR 16 TAHUN 2019 TENTANG PERKAWINAN TERHADAP PROBLEMATIKA NIKAH DINI DI DESA DASAN BARU KECAMATAN KOPANG KABUPATEN LOMBOK TENGAH. Jurnal Pengabdian Ruang Hukum, Vol 1, No 1 (2022): Januari. http://journal.ummat.ac.id/index.php/jprh/article/view/7926/4137
Khoirunnisa, F., & Rahmawati, Y. (2024). KOMPARASI 2 METODE CLUSTER DALAM PENGELOMPOKAN INTENSITAS BENCANA ALAM DI INDONESIA. Jurnal Informatika Dan Teknik Elektro Terapan, 12(1 SE-Articles). https://doi.org/10.23960/jitet.v12i1.3619
Nanggala, D. A. A. (2023). Membangun Gerakan Literasi Sekolah dengan Mereview Buku Menggunakan Teknik Ishikawa Fishbone (Studi Kasus pada Kelas V SDN Cinangka 03 Kabupaten Bandung). Journal on Education, Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023, 1979–1986. http://jonedu.org/index.php/joe/article/view/3182/2693
Novitasari, N., Nuris, N. D., & Herdiana, R. (2023). Penerapan Algoritma K-Means untuk Clustering Data Jumlah Penduduk Miskin Berdasarkan Kota/Kabupaten di Jawabarat menggunakan Rapidminer. Jurnal Informatika Terpadu, 9(1 SE-Artikel), 68–73. https://doi.org/10.54914/jit.v9i1.660
Pambudhi, G. A., Homaidi, A., & Santoso, F. (2024). KOMPARASI ALGORITMA K-MEANS DENGAN K-MEDOIDS DALAM KLASTERISASI WILAYAH RAWAN BENCANA DI KABUPATEN SITUBONDO. E-Link: Jurnal Teknik Elektro Dan Informatika, 19(2 SE-Articles), 173–179. https://doi.org/10.30587/e-link.v19i2.8329
Payung, T. F. E. D. P. D. (2021). PENGARUH PEMBERIAN ROOTONE F TERHADAP PERTUMBUHAN STEK RAMIN (Gonystylus bancanus). Jurnal Sylva Scienteae, Vol 4, No 1 (2021): Jurnal Sylva Scienteae Volume 4 No 1 Edisi Februari 2021, 174–183. https://ppjp.ulm.ac.id/journals/index.php/jss/article/view/3105/2429
Prima, P. I. L. E. (2020). Peran Ruang Publik Terpadu Ramah Anak Bagi Anak Usia Dini. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, Vol 4, No 1 (2020), 471–481. https://obsesi.or.id/index.php/obsesi/article/view/396/pdf
Putri, N. S. S. Z. H. A. A. G. A. K. (2022). The Role of Nahdlatul Ulama in Strategizing Vaccine Communication during Covid-19. Journal of Comparative Study of Religions (JCSR), Vol 2, No 2 (2022): Journal of Comparative Study of Religions, 87–103. https://ejournal.unida.gontor.ac.id/index.php/JCSR/article/view/7257/9985
Rosaliyah, I., & Nurhakim, B. (2023). CLUSTERING KEJADIAN BENCANA ALAM di JAWA BARAT BERDASARKAN JENIS BENCANA MENGGUNAKAN K-MEANS. E-Link: Jurnal Teknik Elektro Dan Informatika, 18(1 SE-Articles), 10–16. https://doi.org/10.30587/e-link.v18i1.5318
Siagian, R. M. V. (2021). Apakah Efektivitas Komite Audit dan Kualitas Audit mempengaruhi Manajemen Laba. JURNAL MANEKSI, Vol 10, No 2 (2021): Desember 2021, 215–222. https://ejournal-polnam.ac.id/index.php/JurnalManeksi/article/view/870/481
siswanto, handryan. (2022). Strategi Komunikasi Pemasaran Kedai Kopi Ipok Aleuh. Communicology: Jurnal Ilmu Komunikasi, Vol 10 No 1 (2022): Communicology: Jurnal Ilmu Komunikasi, Volume 10 No 1 Juli 2022, 104–113. http://journal.unj.ac.id/unj/index.php/communicology/article/view/22521/12861
Sofiah, E. (2020). Metode Mood Understand Recall Digest Expand Review (Murder) untuk Meningkatkan Kemampuan Pemahaman Siswa, Pemecahan Masalah Matematis Siswa, serta Sikap Belajar Siswa Kelas XI. Educatif Journal of Education Research, Vol 2 No 4 (2020): October, 194–203. https://pub.mykreatif.com/index.php/educatif/article/view/195/178
Sudrajat, wahyu, Idahm Cholid, & Johannes Petrus. (2022). Penerapan Algoritma K-Means Clustering untuk Pengelompokan UMKM Menggunakan Rapidminer. JUPITER: Jurnal Penelitian Ilmu Dan Teknologi Komputer, 14(1 SE-Articles), 27–36. https://doi.org/10.5281./4467/5.jupiter.2022.04
Yuliana Seftiani; Astuti, Laily Widya, N. U. (2021). PENGARUH METODE MENTORING TERHADAP PENINGKATAN PENGETAHUAN MAHASISWA D3 KEPERAWATAN DALAM PEMBUATAN TUGAS ASUHAN KEPERAWATAN. Jurnal Kesehatan Samawa, Vol. 6 No. 1 (2021): Jurnal Kesehatan Samawa, 1–5. https://e-journallppmunsa.ac.id/index.php/jks/article/view/675/656
En.wikipedia.org. (2025). k-means clustering. En.Wikipedia.Org. https://en.wikipedia.org/wiki/K-means_clustering#Description