Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C4.5
Keywords:
Satisfaction Level, Service, Online, Prediction, C4.5 Algorithm
AbstractOnline services are services that are carried out with the help of internet technology. This service allows various types of business to be completed easily without having to meet face-to-face with officers. Everything can run quickly and in real time. Especially during the Covid-19 pandemic as it is affecting the world, including Indonesia. Services that are carried out online are increasingly being carried out. Because it can help people to register online, so there is no need to meet face to face. make it easier for the public to register for the upcoming Adminduk and find out the increase or decrease in face-to-face services due to the pandemic. The data that is 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 is the C4.5 algorithm, which is one of the algorithms used to perform classification or segmentation or grouping and is predictive in nature. The advantages of this method are that it can produce a decision tree that is easy to interpret, has an acceptable level of accuracy, is efficient in handling type attributes. discrete and can handle both discrete and numeric type attributes. The results of this study can predict the value or level of community satisfaction in 2021 quickly and accurately. Therefore, this study can be used as a reference to determine the level of satisfaction in the population and civil registration office of Padang City. The method used is Prediction with C4.5 Algorithm using 14 attributes. The data used in this study is the data from the questionnaire research through the Disdukcapil database of 50 population data which has been presented in a csv file. The analysis in this study uses software tools Rapid Miner version 5.3000. The result of this research is to get 3 rules. So that this research can be used as a reference in predicting the level of online service satisfaction very well Downloads
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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
2022-06-11
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How to Cite
Indah, Y. (2022). Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C4.5. Jurnal Informatika Ekonomi Bisnis, 4(2), 59-64. https://doi.org/10.37034/infeb.v4i2.99
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