Penerapan Algoritma C4.5 Untuk Klasifikasi Pola Kepuasan Pelayanan E-KTP Di Kantor Camat Pematang Bandar
DOI:
https://doi.org/10.30865/resolusi.v2i3.313Abstract
This study applies the C4.5 algorithm for the classification of satisfaction patterns of E-KTP services at the Pematang Bandar Sub-District Office. This type of research is a classification with the concept of data mining by involving 140 questionnaire data on the satisfaction of E-KTP services at the Pematang Bandar Sub-District Office which are categorized as: very satisfied, satisfied, quite satisfied, dissatisfied. There are four attributes that affect the satisfaction of E-KTP services including: registration, recording, time, service. The method used in this research is knowledge discovery in database (KDD) to determine data accuracy. The results showed that there was an accuracy rate of 95.24%, with a class precision value of 93.33% for satisfied predictions and a class precision value of 100.00% for dissatisfied predictions. Class recall for satisfied is 100.0% and class recall for dissatisfied is 85.71%. From the results of research that has been done by researchers, it can be concluded. E-KTP service satisfaction can be classified by utilizing data mining techniques using the C4.5 algorithm for classification of E-KTP service satisfaction patterns.
Downloads
References
Eka Satria Pribadi, Poningsih, and H. S. Tambunan, “Analisa Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengadilan Agama Pematangsiantar Menggunakan Algoritma,” vol. 2, no. 1, pp. 33–40, 2020.
L. Swastina, “Penerapan Algoritma C4.5 untuk Penentuan Jurusan Mahasiswa,” J. Gema Aktual., vol. 2, no. 1, pp. 93–98, 2013.
T. R. I. B. Tusarwenda, “Penerapan data mining dengan algoritma c4.5 dalam prediksi penjualan botol pada cv. seribukilo,” 2018.
K. F. Irnanda and A. P. Windarto, “Penerapan Klasifikasi C4.5 Dalam Meningkatkan Kecakapan Berbahasa Inggris dalam Masyarakat,” Semin. Nas. Teknol. Komput. Sains, pp. 304–308, 2020.
S. Haryati, A. Sudarsono, and E. Suryana, “Implementasi Data Mining Untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5 (Studi Kasus: Universitas Dehasen Bengkulu),” J. Media Infotama, vol. 11, no. 2, pp. 130–138, 2015.
Dimas Bayu Febriyanto, “Implementasi Algoritma C4 . 5 Untuk Klasifikasi Tingkat Kepuasan Pembeli Online Shop,” J. Ris. Komput., vol. 5, no. 6, pp. 569–575, 2018.
K. A. Saputra, J. T. Hardinata, M. R. Lubis, and S. R. Andani, “Klasifikasi Algoritma C4 . 5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online,” vol. 1, no. 3, pp. 113–118, 2020.
A. D. I. Suradi, “Penerapan data mining untuk menentukan rekomendasi beasiswa dengan metode algoritma c4.5,” 2018.
N. Fajira, “Analisis Kepuasan Pelanggan Terhadap Kualitas Pelayanan Pada Kentucky Fried Chicken Cabang Palembang Square Mall,” Polsri, pp. 14–20, 2014.
L. N. Rani, “Klasifikasi Nasabah Menggunakan Algoritma C4.5 Sebagai Dasar Pemberian Kredit,” J. KomTekInfo Fak. Ilmu Komput., vol. 2, no. 2, pp. 33–38, 2015.
S. Takalapeta, “Penerapan Data Mining Untuk Menganalisis Kepuasan Konsumen Menggunakan Metode Algoritma C4.5,” J I M P - J. Inform. Merdeka Pasuruan, vol. 3, no. 3, pp. 34–38, 2018, doi: 10.37438/jimp.v3i3.186.
Hendrianto, “Manajemen Strategi Pengelolaan Pasar Dalam Meningkatkan Pendapatan Pedagang Perspektif Ekonomi Islam (Studi di Pasar Segamas Purbalingga),” pp. 1–94, 2018.
R. I. P. Jimmy Pratama, “Perancangan Dan Implementasi Animated Sticker Sebagai Media Edukasi Mengenai COVID-19 dengan Menggunakan Metode MDLC,” Pap. Knowl. . Towar. a Media Hist. Doc., vol. 7, no. 2, pp. 1–12, 2021.
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, p. 75, 2017, doi: 10.30645/jurasik.v1i1.12.
P. Alkhairi, I. S. Damanik, and A. P. Windarto, “Penerapan Jaringan Saraf Tiruan untuk Mengukur Korelasi Beban Kerja Dosen Terhadap Peningkatan Jumlah Publikasi,” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 581, 2019, doi: 10.30645/senaris.v1i0.65.
A. H. Nasrullah, “Penerapan Metode C4.5 untuk Klasifikasi Mahasiswa Berpotensi Drop Out,” Ilk. J. Ilm., vol. 10, no. 2, p. 244, 2018, doi: 10.33096/ilkom.v10i2.300.244-250.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Algoritma C4.5 Untuk Klasifikasi Pola Kepuasan Pelayanan E-KTP Di Kantor Camat Pematang Bandar
ARTICLE HISTORY
Issue
Section
Copyright (c) 2022 Jaya Tata Hardinata, Purnama Nuraini, Yuegilion Pranayama Purba
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
