Analisis Kepuasan Pelanggan Menggunakan Algoritma C5.0
DOI:
https://doi.org/10.47065/jimat.v2i2.160Keywords:
Water; PDAM Tirta Lihou; Customer Satisfaction; Data Mining; Algorithm C5.0Abstract
Water is one of the necessities that are needed by living things, especially humans. In everyday life, humans cannot be separated from the need for air. PDAM is a regional-owned business unit, which is engaged in the distribution of clean water for the general public. However, along the way, along with receiving complaints from the public or customers, public complaints about the increasing difficulty of getting clean water are still an obstacle that can be completely overcome, for example in the North Sumatra area, precisely in Gunung Malela District. On the one hand, public demand will increase, but the quality of services provided is not comparable to meeting the demands of the community. Therefore, this study was conducted to determine customer satisfaction with PDAM Tirta Lihou in Gunung Malela District. Many branches of computer science study various algorithms, one of which is data mining methods, DSS, ANN, and others. This study uses a data mining method with the C5.0 algorithm to solve the problem of factors that affect customer satisfaction with PDAM Tirta Lihou, Gunung Malela District
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References
Ruziqa, “Analisis Kepuasan Pelanggan Menggunakan Algoritma C4 . 5 Eki Ruziqa Maris,” pp. 1–14, 2019.
B. Saidani et al., “Analisis Pengaruh Kualitas Website,” vol. 10, no. 2, pp. 425–444, 2019.
I. Mubarok et al., “Kepuasan Mahasiswa Terhadap Pelayanan Sim Online,” 2019.
S. Husen, K. Khotimah, and E. Sutisna, “Membangun Kepuasan Pelanggan Untuk Mengatasi Gap Antara Pengaruh Customer Experience Terhadap Loyalitas Pelanggan Pada Ud. Anwarudin Dan Apms …,” J. Bus. …, 2021.
S. Wulandari, P. Poningsih, and W. Saputra, “Penerapan Metode Naive Bayes dalam Menentukan Pengaruh Penasihat Akademik pada Kelulusan Mahasiswa Tingkat Akhir,” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 661, 2019.
F. Hadi, S. Kom, and M. Kom, “Penerapan Data Mining Dalam Menganalisa Pemberian Pinjamana Dengan Menggunakan Metode Algoritma C5 . 0 (Studi Kasus?: Koperasi Jasa Keuangan Syariah Kelurahan Lambung Bukik),” vol. 4, no. 2, pp. 214–223, 2017.
M. Pardede, E. Buulolo, and E. Ndruru, “Implementasi Algoritma C5.0 Pada Kelulusan Peserta Ujian Kemahiran Berbahasa Indonesia (Ukbi) Pada Balai Bahasa Sumatera Utara,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 64–72, 2019.
M. Afdal and M. Rosadi, “Penerapan Association Rule Mining Untuk Analisis Penempatan Tata Letak Buku Di Perpustakaan Menggunakan Algoritma Apriori,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 5, no. 1, p. 99, 2019.
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Copyright (c) 2022 Dandi Junandi Purba, Muhammad Ridwan Lubis, Zulia Almaida Siregar
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