ANALISA KLASIFIKASI DATA MINING PADA TINGKAT KEPUASAN PENGUNJUNG TAMAN HEWAN PEMATANG SIANTAR DENGAN ALGORITMA

 (*)Dinda Nabila Batubara Mail (, —)
 Agus Perdana Windarto (, —)

(*) Corresponding Author

Abstract

The purpose of the study is to provide recommendations for the satisfaction of visitors to the animal park using the C4.5 datamining classification data laminating technique. Data sources were obtained from interviews with the management of the Pematangsiantar City Animal Park and the giving of questionnaires to random visitors as many as 150 people. Attributes used as parameters for assessing visitor satisfaction include: Ease of access to locations (C1), Infrastructure Facilities (C2), Parking lots (C3), Security (C4), Service Officers (C5) and Cleanliness (C6). The results of processing the C4.5 method using the help of RapidMiner software are the attributes of infrastructure (C2) and service officers (C5) being the attributes that most influence the level of satisfaction of visitors to the park. And the performance data shown on the suitability of the C4.5 method with the satisfaction of visitors to the animal park is 95%

Keywords: Datamining, Classification, C4.5 Method, Visitors, Satisfaction, Animal Park

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References

Zelmiati, Waryono, and Youmil, “PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PENGUNJUNG DI OBJEK WISATA MINANG FANTASI KOTA PADANG PANJANG,” 2017.

S. M. Dewi and A. P. Windarto, “Analisis Metode Electre Pada Pemilihan Usaha Kecil Home Industry Yang Tepat Bagi Mahasiswa,” Sist. J. Sist. Inf., vol. 8, no. 3, pp. 377–385, 2019.

D. R. S. P, A. A. Muin, and M. Amin, “PEMILIHAN FACIAL WASH UNTUK KULIT WAJAH BERMINYAK DENGAN METODE PROMETHEE II,” CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 222–229, 2019.

C. Astria, A. P. Windarto, and Z. Musiafa, “PEMILIHAN PRODUK SAMPO SESUAI JENIS KULIT KEPALA DENGAN METODE PROMETHEE II,” CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 178–185, 2019.

D. N. Batubara, A. P. Windarto, and M. R. Raharjo, “PENERAPAN PROMETHEE II PADA PEMILIHAN PRODUK CONDITIONER SEBAGAI UPAYA PENINGKATAN MINAT BELI KONSUMEN,” CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 191–197, 2019.

D. N. Batubara, D. R. S. P, and A. P. Windarto, “Penerapan Metode PROMETHEE II Pada Pemilihan Situs Travel Berdasarkan Konsumen,” J. SISFOKOM, vol. 8, no. 1, pp. 46–52, 2019.

A. P. Windarto, “Penerapan Datamining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering Method,” Techno.Com, vol. 16, no. 4, pp. 348–357, 2017.

M. G. Sadewo et al., “PENERAPAN ALGORITMA CLUSTERING DALAM MENGELOMPOKKAN BANYAKNYA DESA / KELURAHAN MENURUT UPAYA ANTISIPASI / MITIGASI BENCANA ALAM MENURUT PROVINSI DENGAN K-MEANS,” vol. 2, pp. 311–319, 2018.

H. Siahaan, H. Mawengkang, S. Efendi, A. Wanto, and A. P. Windarto, “Application of Classification Method C4 . 5 on Selection of Exemplary Teachers,” in IOP Conference Series, 2018, pp. 1–6.

Sudirman, A. P. Windarto, and A. Wanto, “Data mining tools | rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia,” IOP Conf. Ser. Mater. Sci. Eng., vol. 420, p. 12089, 2018.

S. Azhar, H. Latipa, S. Leni, and N. Zulita, “Sistem Pakar Penyakit Ginjal Pada Manusia Menggunakan Metode Forward Chaining,” J. Media Infotama, vol. 10, no. 1, pp. 16–26, 2014.

T. Budiharjo, Soemartono, T., Windarto, A.P., Herawan, “Predicting tuition fee payment problem using backpropagation neural network model,” Int. J. Adv. Sci. Technol., 2018.

T. Budiharjo, Soemartono, T., Windarto, A.P., Herawan, “Predicting school participation in indonesia using back-propagation algorithm model,” Int. J. Control Autom., 2018.

A. P. Windarto, M. R. Lubis, and Solikhun, “MODEL ARSITEKTUR NEURAL NETWORK DENGAN BACKPROPOGATION PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF BANK UMUM KONVENSIONAL,” Kumpul. J. Ilmu Komput., vol. 5, no. 2, pp. 147–158, 2018.

A. P. Windarto, M. R. Lubis, and Solikhun, “IMPLEMENTASI JST PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF BANK UMUM KONVENSIONAL DENGAN BACKPROPAGATION,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 411–418, 2018.

Sumijan, A. P. Windarto, A. Muhammad, and Budiharjo, “Implementation of Neural Networks in Predicting the Understanding Level of Students Subject,” Int. J. Softw. Eng. Its Appl., vol. 10, no. 10, pp. 189–204, 2016.

D. W. T. Putra, “Algoritma C4.5 untuk Menentukan Tingkat Kelayakan Motor Bekas yang Akan Dijual,” J. TEKNOIF, vol. 4, no. 1, pp. 16–22, 2016.

Y. S. Luvia, A. P. Windarto, S. Solikhun, and D. Hartama, “Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Keberhasilan Mahasiswa Di Amik Tunas Bangsa,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 1, no. 1, pp. 75–79, 2017.

M. G. Sadewo, A. Eriza, A. P. Windarto, and D. Hartama, “Algoritma K-Means Dalam Mengelompokkan Desa / Kelurahan Menurut Keberadaan Keluarga Pengguna Listrik dan Sumber Penerangan Jalan Utama Berdasarkan Provinsi,” pp. 754–761, 2019.

G. Syahputra, “Penerapan Algoritma C4 . 5 Dalam Analisa Kelayakan Penerima Bonus Tahunan Pegawai ( Studi Kasus : PT . Multi Pratama Nauli Medan ),” J. Mantik Penusa, vol. 16, no. 2, 2014.

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