Klasifikasi Desa Wisata di Provinsi Jawa Tengah Menggunakan Algoritma C4.5
(1) Institut Teknologi Telkom Purwokerto, Indonesia
(2) Institut Teknologi Telkom Purwokerto, Indonesia
(*) Corresponding Author
Abstract
Central Java is part of a province on the island of Java that develops the tourism industry. Based on Central Java provincial regulation No. 2 of 2019, regarding the empowerment of tourism villages in Central Java Province, it is stated that tourism villages play an important role in advancing public welfare, equitable distribution of trade and employment, optimization of economic potential and regional characteristics, as well as promoting and protecting cultural, religious, and national values and natural preservation. This relates to the importance of identifying tourist villages that can be developed as tourist destinations. For this reason, classification in data mining can be done using the C4.5 algorithm. The C4.5 algorithm can be used in obtaining a decision tree that is easy to understand in classifying tourist villages. This research aims to classify tourist villages by implementing the decision tree classifier C4.5 algorithm. The research data was obtained from the Central Java Province data portal dataset in 2019 and the problem solving in this study raised the Knowledge Discovery Database process. The results of this study are in the form of testing the C4.5 algorithm using confusion matrix and obtaining accuracy of 86%, recall of 88% and precision of 86%.
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Y. Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4.5,” Edik Inform., vol. 2, no. 2, pp. 213–219, 2017, doi: 10.22202/ei.2016.v2i2.1465.
S. B. Helpiastuti, “Pengembangan Destinasi Pariwisata Kreatif Melalui Pasar Lumpur (Analisis Wacana Grand Opening ‘Pasar Lumpur’ Kawasan Wisata Lumpur, Kecamatan Ledokombo, Kabupaten Jember),” J. Tour. Creat., vol. 2, no. 1, pp. 13–23, 2018, [Online]. Available: https://jurnal.unej.ac.id/index.php/tourismjournal/article/download/13837/7204/.
N. Nazeriandy, Y. Syahra, and M. Syaifudin, “Penerapan Data Mining Untuk Memprediksi Penggunaan Daya Listrik Pada PT.PLN (Persero) Rayon Medan Selatan Dengan Menggunakan Metode Regresi Linier Berganda,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 20, no. 1, p. 20, 2021, doi: 10.53513/jis.v20i1.2431.
A. S. Chan, “Prediksi Kedatangan Wisatawan Pada Pariwisata Kota Batam Dengan Menggunakan Teknik Knowledge Data Discovery,” J. Ilm. Inform., vol. 6, no. 01, p. 11, 2018, doi: 10.33884/jif.v6i01.432.
A. Alfiani Mahardhika, R. Saptono, and R. Anggrainingsih, “Sistem Klasifikasi Feedback Pelanggan Dan Rekomendasi Solusi Atas Keluhan Di UPT Puskom UNS Dengan Algoritma Naive Bayes Classifier Dan Cosine Similiarity,” J. Teknol. Inf. ITSmart, vol. 4, no. 1, p. 36, 2016, doi: 10.20961/its.v4i1.1806.
E. P. Cynthia and E. Ismanto, “Metode Decision Tree Algoritma C.45 Dalam Mengklasifikasi Data Penjualan Bisnis Gerai Makanan Cepat Saji,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 3, no. July, p. 1, 2018, doi: 10.30645/jurasik.v3i0.60.
M. Ardiansyah Sembiring, M. Fitri Larasati Sibuea, A. Sapta, P. Studi Sistem Informasi, and S. Royal, “Analisa Kinerja Algoritma C.45 Dalam Memprediksi Hasil Belajar,” J. Sci. Soc. Res., vol. 1, no. February, pp. 73–79, 2018, [Online]. Available: http://jurnal.goretanpena.com/index.php/JSSR.
R. Nursyahfitri, A. N. Maharadja, R. A. Farissa, and Y. Umaidah, “Klasifikasi Penentuan Jenis Obat Menggunakan Algoritma Decision Tree,” J. Inform. Polinema, vol. 7, no. 3, pp. 53–60, 2021, doi: 10.33795/jip.v7i3.629.
A. Faricha, Suwito, M. Rivai, M. A. Nanda, D. Purwanto, and R. P. R. Anhar, “Design of electronic nose system using gas chromatography principle and Surface Acoustic Wave sensor,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 4, pp. 1458–1467, 2018, doi: 10.12928/TELKOMNIKA.v16i4.7127.
A. Sepharni, I. E. Hendrawan, and C. Rozikin, “Klasifikasi Penyakit Jantung dengan Menggunakan Algoritma C4.5,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 7, no. 2, p. 117, 2022, doi: 10.30998/string.v7i2.12012.
S. Tangirala, “Evaluating the impact of GINI index and information gain on classification using decision tree classifier algorithm,” Int. J. Adv. Comput. Sci. Appl., vol. 11, no. 2, pp. 612–619, 2020, doi: 10.14569/ijacsa.2020.0110277.
DOI: http://dx.doi.org/10.30645/j-sakti.v8i1.776
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