Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45
Keywords:
Data mining, Satisfaction Level, Online Service, Algoritma C4.5, Rapid Miner
AbstractOnline service is a service that uses the help of the internet. This service can solve various types of business without having to meet directly with employees. This can be done quickly and on time. Especially when we are currently experiencing the Covid-19 pandemic, all existing services are carried out online and this is increasingly being done by many parties, because they can maximize in helping people's affairs online. This service makes it easier for the public to register which will be done online during this pandemic. The data that will be processed in this online service from 2019 to 2020 is about data about people who do not understand online services, negative community responses, positive community expectations. The method used in this study is the method with the C4.5 algorithm where this is one of the algorithms that will be used to determine a classification or group of data and will be predictive. The advantage of this algorithm is that it can produce a decision tree which will make it easier to implement and will have an acceptable level of accuracy. The results of this study are able to predict a value or determine the level of community satisfaction in 2021 appropriately. Therefore, this study can be used as a reference to determine the level of satisfaction at the Padang City Population and Civil Registration Office. The method used in this study is the prediction method using the C4.5 algorithm by using as many as 14 attributes. The data used in this study is sourced from data from online questionnaires and stored in the Disdukcapil database which has as many as 50 community data which have been presented in a CSV file. The analysis in this study uses the help of tools in the form of rapid miner software version 5.3,000. The results of this study are that there are 3 rules from the data processing process using the C4.5 algorithm where the rule is the final result of the decision tree form. Downloads
Download data is not yet available.
References
[1] Gaol, N. Y. L. (2020). Prediksi Mahasiswa Berpotensi Non Aktif Menggunakan Data Mining dalam Decision Tree dan Algoritma C4.5. Jurnal Informasi & Teknologi, 2, 23–29. https://doi.org/10.37034/jidt.v2i1.22
[2] Utami, yohana T., Shofiana, D. A., & Heningtyas, Y. (2020). Penerapan Algoritma C4.5 Untuk Prediksi Churn Rate Pengguna Jasa Telekomunikasi. Jurnal Komputasi, 8(2), 69–76. https://doi.org/10.23960/komputasi.v8i2.2647 [3] Afni, N., Susanti, M., & Zulfajri, Z. (2020). Prediksi Kepuasan Tenant Pada Gedung Wisma Keiai Menggunakan Algoritma C4.5. Jurnal Infortech, 2(2), 238–243. https://doi.org/10.31294/infortech.v2i2.9247 [4] Rufiyanto, A., Rochcham, M., & Rohman, A. (2021). Prediksi Kepuasan Mahasiswa dengan Menggunakan Algoritma C4.5 terhadap Pelayanan Akademik. Jurnal Transformatika, 18(2), 210. https://doi.org/10.26623/transformatika.v18i2.2692 [5] Dengen, C. N., Kusrini, K., & Luthfi, E. T. (2020). Implementasi Decision Tree Untuk Prediksi Kelulusan Mahasiswa Tepat Waktu. Sisfotenika, 10(1), 1. https://doi.org/10.30700/jst.v10i1.484 [6] Ferdiansyah, B., & Goeirmanto, L. (2020). Prediksi Loyalitas dalam Keterikatan Karyawan terhadap Perusahaan Menggunakan Algoritma C4.5* (Studi Kasus PT.XYZ). Jurnal Sistem Dan Teknologi Informasi (JUSTIN), 8(1), 87. https://doi.org/10.26418/justin.v8i1.33606 [7] H. M. Nawawi, S. Rahayu, M. ja’far Shidiq, and J. J. Purnama, “Algoritma C4.5 untuk Memprediksi Pengambilan Keputusan Memilih Deposito Berjangka,” vol. 16, no. 1, pp. 65–72, 2019 https://doi.org/10.34010/jati.v8i1.906 [8] Hikmatulloh, R., Putri, H. M., & Aini, Q. (2020). Penerapan Decision Tree untuk Prediksi Kepuasan Pengguna Bus Transjakarta. Innovation in Research of Informatics (INNOVATICS), 2(2), 40–46. https://doi.org/10.37058/innovatics.v2i2.2014 [9] Ibad, I., Mu’alim, Z. A., & Putra, A. F. (2020). Strategi Pelayanan E-Ktp Di Dinas Kependudukan Dan Pencatatan Sipil Kota Malang. Prosiding Simposium Nasional, 5(2), 821–850. https://doi.org/10.36312/jisip.v5i2.2045 [10] Darmawan, A., Kustian, N., Rahayu, W., Tabebuya, T., & Pengunjung, K. (2018). IMPLEMENTASI DATA MINING MENGGUNAKAN MODEL SVM. 2(3), 299–307. https://doi.org/10.30998/string.v2i3.2439 [11] Dewi, D. C., Utami, V. Y., & Yusuf, S. Y. M. (2021). Jurnal Ranah Publik Indonesia Kontemporer. 1, 1–12. https://doi.org/10.25157/jmr.v1i2.699 [12] Ariani, F., & Taufik, A. (2020). Perbandingan Metode Klasifikasi Data Mining Untuk. 16(1), 1–6. https://doi.org/10.33372/stn.v6i2.666 [13] Lumban Gaol, L. Y., Safii, M., & Suhendro, D. (2021). Prediksi Kelulusan Mahasiswa Stikom Tunas Bangsa Prodi Sistem Informasi Dengan Menggunakan Algoritma C4.5. Brahmana : Jurnal Penerapan Kecerdasan Buatan, 2(2), 97–106. https://doi.org/10.30645/brahmana.v2i2.71 [14] Fitriani, Y., Defit, S., Nurcahyo, G. W. (2021). Prediksi Hasil Belajar Siswa Secara Daring pada Masa Pandemi COVID-19 Menggunakan Metode C4.5. Jurnal Sistem Informasi dan Teknologi, 3(3), 118-125. http://doi.org/ 10.37034/jsisfotek.v3i3.149 [15] Fauziah, F., Hartama, D., & Damanik, I. S. (2020). Analisa Kepuasan Pelanggan Menggunakan Klasifikasi Data Mining. Brahmana : Jurnal Penerapan Kecerdasan Buatan, 2(1), 41–48. https://doi.org/10.30645/brahmana.v2i1.47 [16] Ani, S. (2021). Analisa Decision Tree untuk Kepuasan Penggunaan Sinyal dari Base Transceiver Station ( BTS ) Decision Tree Analysis for Signal Use at Base Transceiver Station ( BTS ). 9(2), 199–205. https://doi.org/10.26418/justin.v9i2.43425 [17] Umam, K., Puspitasari, D., & Nurhadi, A. (2020). Penerapan Algoritma C4.5 Untuk Prediksi Loyalitas Nasabah PT Erdika Elit Jakarta. Jurnal Media Informatika Budidarma, 4(1), 65. https://doi.org/10.30865/mib.v4i1.1652 |
Published
2021-09-03
Issue
Section
Articles
How to Cite
Lestari, Y. I. (2021). Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45. Jurnal Informatika Ekonomi Bisnis, 3(4), 148-154. https://doi.org/10.37034/infeb.v3i4.104
Copyright (c) 2021 This work is licensed under a Creative Commons Attribution 4.0 International License. |