Analisa Kepuasan Pengunjung di Objek Wisata Pemandian Kaliwetan Menggunakan Algoritma Naïve Bayes

P. P.P.A.N.W.Fikrul Ilmi R.H. Zer(1*), Agus Perdana Windarto(2),

(1) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(2) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(*) Corresponding Author

Abstract


This research assesses visitor satisfaction with the Kaliwetan Bathing Place tourist destination located in Karang Anyer Village, Gunung Maligas District, Simalungun Regency. These services include swimming pools, lodges, prayer rooms, canteens, toilets, and parking lots along with the use of Kaliwetan Baths and its natural water management system. Visitors who came were quite a lot in the first years, and in its development the number of tourists experienced a significant decline. In the context of applying Naïve Bayes algorithm to classify visitor satisfaction, which is very important for the growth of tourist population, this study was made. The results obtained are as follows; the model accurately predicts that 94 visitors are satisfied and 26 visitors are dissatisfied, with a data mining efficiency of 96.67%. The classification results show that although the majority of visitors are satisfied, there are 20% of visitors who are dissatisfied and the complaints may be caused by unsatisfactory facilities and services. This research provides suggestions to the manager of Kaliwetan Bath on how to improve the overall service and infrastructure that will increase the attraction of tourists to the area. The Naïve Bayes model used can be a starting point that can be used by the manager to make decisions related to services related to cleanliness, safety, and visitor comfort.

Full Text:

PDF

References


D. N. Batubara and A. P. Windarto, “Analisa Klasifikasi Data Mining Pada Tingkat Kepuasan Pengunjung Taman Hewan Pematang Siantar Dengan Algoritma,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 588–592, 2019, doi: 10.30865/komik.v3i1.1664.

M. Isa, “Pengaruh Kualitas Fasilitas Wisata Terhadap Kepuasan Pengunjung Pemandian Air Panas ‘Aek Milas Siabu’ Kabupaten Mandailing Natal,” Jesya (Jurnal Ekon. Ekon. Syariah), vol. 3, no. 2, pp. 111–125, 2020, doi: 10.36778/jesya.v3i2.184.

D. Amanah and K. Budiarta, “Kepuasan Pengunjung Tempat Wisata Pemandian Hairos Waterpark Medan,” PLANS, vol. 13, no. 1, pp. 44–50, 2018.

D. Anggraini, S. Solikhun, F. Rizki, and P. P. P. A. N. W. Fi. I. R. . Zer, “Implementasi Data Mining Untuk Menganalisa Tingkat Kepuasan Konsumen Terhadap Kualitas Pelayanan Toko Online Second Gangbrand Menggunakan Metode Algoritma C4.5,” J-MENDIKKOM, vol. 1, no. 2, 2024.

A. Natuzzuhriyyah and N. Nafisah, “Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pembelajaran Secara Daring Menggunakan Algoritma Naïve Bayes,” Techno Xplore J. Ilmu Komput. dan Teknol. Inf., vol. 6, no. 2, pp. 61–67, 2021, doi: 10.36805/technoxplore.v6i2.1377.

A. R. Damanik, S. Sumijan, and G. W. Nurcahyo, “Prediksi Tingkat Kepuasan dalam Pembelajaran Daring Menggunakan Algoritma Naïve Bayes,” J. Sistim Inf. dan Teknol., vol. 3, pp. 88–94, 2021, doi: 10.37034/jsisfotek.v3i3.49.

P. A. M. Z. R.W.P.P.Zer and I. Gunawan, “Penerapan Data Mining Naïve Bayes Dalam Klasifikasi Kepuasan Mahasiswa Berlangganan WiFi Indihome,” J. Media Inform., vol. 3, no. 2, pp. 112–118, 2022, doi: 10.55338/jumin.v3i2.488.

H. Chen, S. Hu, R. Hua, and X. Zhao, “Improved Naive Bayes Classification Algorithm for Traffic Risk Management,” EURASIP J. Adv. Signal Process., vol. 2021, no. 1, 2021, doi: 10.1186/s13634-021-00742-6.

T. H. Apandi and C. A. Sugianto, “Algoritma Naive Bayes untuk Prediksi Kepuasan Pelayanan Perekaman e-KTP,” JUITA, vol. 7, no. 2, 2019.

F. R. D. Febriantoro, H. Tazkia, and R. Ghaniy, “Penerapan Metode Naïve Bayes dalam Sistem Informasi Penentuan Kelayakan Peserta Pekan Ilmiah Mahasiswa,” Digitech, vol. 4, no. 1, pp. 169–179, 2024.

M. N. Zarti, E. Sahputra, A. Sonita, and Y. Apridiansyah, “Application Of Data Mining Using The Naïve Bayes Classification Method To Predict Public Interest Participation In The 2024 Elections,” J. Komputer, Inf. dan Teknol., vol. 3, no. 1, pp. 105–114, 2023, doi: 10.53697/jkomitek.v3i1.1192.

M. Makhtar, H. Nawang, and S. N. W. Shamsuddin, “Analysis On Students Performance Using Naive Bayes Classifier,” J. Theor. Appl. Inf. Technol., vol. 95, no. 16, pp. 3993–4000, 2017, [Online]. Available: www.jatit.org

O. P. Barus, R. Romindo, and J. J. Pangaribuan, “Classification of Hearing Loss Degrees with Naive Bayes Algorithm,” Resti, vol. 2, no. 2, 2022.

N. F. Rusland, N. Wahid, S. Kasim, and H. Hafit, “Analysis of Naïve Bayes Algorithm for Email Spam Filtering across Multiple Datasets,” IOP Conf. Ser. Mater. Sci. Eng., vol. 226, no. 1, 2017, doi: 10.1088/1757-899X/226/1/012091.

M. Anggraini, R. A. Tyas, I. A. Sulasiyah, and Q. Aini, “Implementasi Algoritma Naïve Bayes Dalam Penentuan Rating Buku,” Sistemasi, vol. 9, no. 3, p. 557, 2020, doi: 10.32520/stmsi.v9i3.915.

J. Jefriyanto, N. Ainun, and M. A. Al Ardha, “Application of Naïve Bayes Classification to Analyze Performance Using Stopwords,” JISTE (Journal Inf. Syst. Technol. Eng., vol. 1, no. 2, pp. 49–53, 2023, [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK558907/




DOI: https://doi.org/10.30645/brahmana.v5i2.464

DOI (PDF): https://doi.org/10.30645/brahmana.v5i2.464.g459

Refbacks

  • There are currently no refbacks.


Published Papers Indexed/Abstracted By: