Analisis Kepuasan Wisatawan Pada Daerah Kota Binjai Menggunakan Algoritma C4.5 Berbasis Mobile

  • Yelansya Ela * Mail Universitas Pembangunan Panca Budi, Indonesia
  • Eko Hariyanto Universitas Pembangunan Panca Budi, Indonesia
DOI: https://doi.org/10.47065/bit.v4i1.513

Abstract

Rating is a way or method to obtain information in any form that can be used as a basis for decision making. Ratings of a tourist object is often a standard for tourists to determine tourist destinations. Ratings made by tourists indicate the level of satisfaction with the services provided by each tourist attraction that has been visited. This study aims to determine and analyze the level of tourist satisfaction, especially in the city of Binjai using the C4.5 algorithm. Algorithm C4.5 is a technique in data mining to classify data with the concept of a decision tree. The data used to analyze the level of tourist satisfaction is data collected from respondents using an application built on the Android platform. Respondents who collected as many as 30 people were tourists who visited the Binjai City tourist attraction. The results of this study indicate that tourists are satisfied with the Cleanliness indicator which is indicated by the highest gain value of 0.283. While the lowest indicator is obtained in the parking variable with a gain value of 0.085. Based on the results of this research, it is hoped that it can become a reference for evaluating the services provided to increase tourist satisfaction

References

A. . Muljadi, Pengantar Pariwisata Indonesia. PT. Raja Grafindo Persada, 2009.

F. Kalebos, “Faktor-Faktor Yang Mempengaruhi Kepuasan Wisatawan Yang Berkunjung Ke Daerah Wisata Kepulauan,” J. Ris. Bisnis dan Manaj. Vol 4 ,No.3, Ed. Khusus Pemasar. Keuang. 2016 489-502, vol. 4, pp. 489–502, 2016.

B. HSSINA, A. MERBOUHA, H. EZZIKOURI, and M. ERRITALI, “A comparative study of decision tree ID3 and C4.5,” Int. J. Adv. Comput. Sci. Appl., vol. 4, no. 2, 2014, doi: 10.14569/specialissue.2014.040203.

J. R. Quinlan, C4.5: Programs for Machine Learning. 2014.

Nazruddin Safaat H, Android : Pemrograman Aplikasi Mobile Smartphone dan Tablet PC Berbasis Android (Edisi Revisi). 2012.

D. Telaumbanua and I. Kurniawati, “Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Pada Jasa Layanan Pengiriman,” JoMMiT J. Multi Media dan IT, vol. 6, no. 1, 2022, doi: 10.46961/jommit.v6i1.524.

I. Düntsch and G. Gediga, “Confusion Matrices and Rough Set Data Analysis,” J. Phys. Conf. Ser., vol. 1229, no. 1, 2019, doi: 10.1088/1742-6596/1229/1/012055.

D. Normawati and S. A. Prayogi, “Implementasi Naïve Bayes Classifier Dan Confusion Matrix Pada Analisis Sentimen Berbasis Teks Pada Twitter,” J. Sains Komput. Inform. (J-SAKTI, vol. 5, no. 2, pp. 697–711, 2021, [Online]. Available: http://ejurnal.tunasbangsa.ac.id/index.php/jsakti/article/view/369.

A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis ( MOOSRA ) dalam Penentuan Lulusan Mahasiswa Terbaik,” vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.

M. Bobbi, K. Nasution, A. Karim, and S. Esabella, “Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC,” vol. 4, no. 1, pp. 130–136, 2022, doi: 10.47065/bits.v4i1.1619.

N. Oktari, D. P. Utomo, S. Aripin, and A. Karim, “Penerapan Metode Operational Competitiveness Rating Analysis ( OCRA ) Dalam Penerimaan Karyawan Perjanjian Kerja Waktu Tertentu ( PKWT ),” vol. 3, no. 3, pp. 218–226, 2022, doi: 10.47065/josh.v3i3.1471.

A. Ernawati, “Penerapan Algoritma Entropy Dan Aras Menentukan Penerima Beasiswa Mahasiswa Berprestasi Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 2, pp. 74–84, 2022.

A. Karim and Dkk, “SISTEM PAKAR DIAGNOSA KEGAGALAN KONEKSI TCP/IP PADA JARINGAN KOMPUTER MENGGUNAKAN METODE FORWARD CHAINING,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. I, pp. 138–144, 2017.

M. Bobbi, K. Nasution, S. Suryadi, and A. Karim, “Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA,” vol. 4, no. 3, pp. 1284–1292, 2022, doi: 10.47065/bits.v4i3.2610.

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Published
2023-03-27
How to Cite
Ela, Y., & Hariyanto, E. (2023). Analisis Kepuasan Wisatawan Pada Daerah Kota Binjai Menggunakan Algoritma C4.5 Berbasis Mobile. Bulletin of Information Technology (BIT), 4(1), 89 - 98. https://doi.org/10.47065/bit.v4i1.513
Issue
Vol 4 No 1: Maret 2023
Section
Articles

Copyright (c) 2023 Yelansya Ela, Eko Hariyanto

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