PENERAPAN ALGORITMA KLASIFIKASI C4.5 REVIEW PELANGGAN DALAM BERTRANSAKSI PADA PT. DAPOER MAMIH
DOI:
https://doi.org/10.69714/p6wz6n47Keywords:
Classification, C4.5, Customer Reviews , Decision Trees , Data MiningAbstract
Wahana Indra Komala (19242542), Andri Yansah (19242561), Resti Pebrina (19242563), Implementation of C4.5 Classification Algorithm Customer Review in Transactions at PT. Dapoer Mamih
Dapoer Mamih is a company engaged in the culinary field and is committed to providing the best service to its customers. One way to radiate service quality and customer satisfaction is by analyzing customer Reviews. This study aims to classify customer Reviews in transactions using the C4.5 classification algorithm. The C4.5 algorithm was chosen because of its ability to form an effective Decision Tree in handling categorical and numeric data and handling missing data values. The data used in this study came from customer Reviews collected by the company. The analysis process begins with the data preprocessing stage, attribute selection, model training, and evaluation of model classification performance. The results of the study show that the C4.5 algorithm is able to group customer Reviews into certain categories such as positive, neutral, and negative with an adequate level of accuracy. These findings can be the basis for companies to make strategic decisions in improving service quality and customer experience.
Keywords: Classification; C4.5; Customer Reviews; Decision Trees; Data Mining.
References
V. Haekal, et al., “Perkembangan E-Commerce di Era Industri 4.0,” Jurnal Teknologi Informasi, vol. 7, no. 2, pp. 45–53, 2021.
L. B. Rahayu, “Analisis Penerapan E-Commerce dalam Bisnis UMKM,” Jurnal Manajemen Bisnis, vol. 9, no. 1, pp. 12–20, 2021.
Emantonio, et al., “Pertumbuhan E-Commerce dan Perubahan Gaya Hidup Masyarakat Digital,” Jurnal Ekonomi Digital Indonesia, vol. 5, no. 1, pp. 33–41, 2025.
D. Juhana, A. T. Komara, and I. Sidharta, “Kontribusi E-Commerce terhadap Pertumbuhan Ekonomi Domestik,” Jurnal Ekonomi dan Bisnis, vol. 10, no. 3, pp. 77–89, 2024.
Prasetyo, “Dampak E-Commerce terhadap Perekonomian Global,” Jurnal Bisnis Internasional, vol. 8, no. 2, pp. 55–64, 2023.
Wardhono, “E-Government sebagai Metode Transaksi Publik,” Jurnal Sistem Pemerintahan Digital, vol. 6, no. 1, pp. 21–31, 2023.
Syaepudin and D. Nurlukman, “Model E-Government dalam Pengadaan Barang dan Jasa,” Prosiding Seminar Nasional Teknologi Informasi, pp. 102–109, 2022.
H. Halim and A. Tyra, “Analisis Review Pelanggan sebagai Umpan Balik Kualitas Layanan,” Jurnal Manajemen Pemasaran, vol. 9, no. 1, pp. 17–25, 2020.
Yendrizal, “Klasifikasi Data Mining: Perbandingan ID3, C4.5, dan CART,” Jurnal Ilmu Komputer, vol. 4, no. 2, pp. 66–75, 2022.
Jollyta, et al., “Implementasi Algoritma C4.5 dalam Klasifikasi Data,” Jurnal Teknologi dan Sistem Informasi, vol. 11, no. 2, pp. 115–124, 2023.
Oktalia and Zakaria, “Perbandingan C4.5 dan Naïve Bayes dalam Analisis Review JNE di Google Playstore,” Jurnal Sistem Informasi, vol. 13, no. 1, pp. 44–53, 2024.
N. Angie, et al., “Analisis Faktor Review dan Rekomendasi pada Marketplace Shopee dengan Algoritma C4.5,” Jurnal Sistem Informasi, vol. 12, no. 3, pp. 88–97, 2025.
Uape and Elisa, “Decision Tree pada Penilaian Layanan Driver Gojek dengan C4.5,” Jurnal Informatika dan Sistem Cerdas, vol. 9, no. 1, pp. 15–23, 2023.
Siahaan and R. Muliono, “Klasifikasi Kualitas Kopi Berdasarkan Review Pelanggan dengan C4.5,” Jurnal Teknologi Pangan Digital, vol. 7, no. 2, pp. 50–59, 2024.
Viska and Elisa, “Penerapan Algoritma C4.5 dalam Analisis Kepuasan Pelanggan Fashion Thrift,” Jurnal Sistem Informasi, vol. 8, no. 4, pp. 91–99, 2023.
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