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Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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PREDICTION OF PUBLIC SERVICE SATISFACTION USING C4.5 AND NAÏVE BAYES ALGORITHM
Keywords:
accurasy, precision, recall, f-measure
Abstract
One of the things that has often been questioned lately is in the field of public services, especially in terms of the quality or service quality of government agencies to the community, the Manpower and Transmigration Office of Kab. Karawang is a government agency in charge of public services. where one of the tasks is to make an AK.1 card (yellow card), based on this problem the Manpower and Transmigration Office of Kab. Karawang Regency. Karawang seeks to improve service quality in order to satisfy consumers by distributing questionnaires to every consumer who is making an AK card.1. In this study, we will apply the C4.5 and Naïve Bayes algorithms to predict the satisfaction of public services with the nominal type of dataset used. The evaluation is done based on a comparison of the level of accuracy, precision, recall, and F-Measure using a confusion matrix. From the research that has been carried out, the Naïve Bayes algorithm with 70% training data distribution and 30% testing is able to provide better predictive results than the C4.5 algorithm as evidenced by the accuracy value = 96.89%, precision = 95.50%, recall = 95.00% and f-measure = 94.60%.
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References
Angraeni, R. (2014). Hubungan Kualitas Pelayanan Pembuatan Kartu Kuning Dengan Kepuasan Pencari Kerja Pada Dinas Tenaga Kerja.
Farid, F., Enri, U., & Umaidah, Y. (2021). Sistem Pendukung Keputusan Rekomendasi Topik Skripsi Menggunakan Naïve Bayes Classifier. JOINTECS (Journal of Information Technology and Computer Science), 6(1), 35. https://doi.org/10.31328/jointecs.v6i1.2076
Hakim, A. N. (2016). Prediksi Tingkat Kepuasan Pelanggan Rumah Makan Menggunakan Algoritma Naive Bayes. Fik, 1(1), 1–2.
Han, J., Kamber, M., & Pei, J. (2012). Data Mining Concepts and Techniques. In Data Mining. https://doi.org/10.1016/b978-0-12-381479-1.00001-0
Irmaini, Z., & Sugiarti. (2009). Aplikasi Importance-Performance Analysis Dalam Menilai Kualitas Pelayanan Pembuatan Kartu Ak.1 Pada Dinas Tenaga Kerja Dan Transmigrasi Kabupaten Cilacap. STIE SATRIA Purwokerto, 1–15.
Listiana, M., Sujalwo, S., & Gunawan, D. (2015). Perbandingan Algoritma Decision Tree (C4.5) Dan Naïve Bayes Pada Data Mining Untuk Identifikasi Tumbuh Kembang Anak Balita (Studi Kasus Puskesmas Kartasura) [Universitas Muhammadiyah Surakarta]. In Institusional Repository. http://eprints.ums.ac.id/36124/
Mochamad Rizki Ilham, P. (2016). Implementasi Data Mining Menggunakan Algoritma C4.5 Untuk Prediksi Kepuasan Pelanggan Taksi Kosti. Simplementasi Data Mining Menggunakan Algoritma C4.5 Untuk Prediksi Kepuasan Pelanggan Taksi Kosti, Vol. 4, No(5), 11.
Nugroho, Y. S., & Haryati, S. N. (2015). Klasifikasi dan Klastering Penjurusan Siswa SMA Negeri 3 Boyolali. Khazanah Informatika: Jurnal Ilmu Komputer Dan Informatika, 1(1), 1. https://doi.org/10.23917/khif.v1i1.1175
Prasetyo, E. (2014). Data Mining Konsep dan Aplikasi Menggunakan Matlab. Andi Publisher.
Rezkika, F., Sari, B. N., & Irawan, A. S. Y. (2021). Klasifikasi Masa Tunggu Alumni Untuk Mendapatkan Pekerjaan Berdasarkan Kompetensi Menggunakan Algoritma C4.5 (Studi Kasus : Fasilkom Unsika). Progresif: Jurnal Ilmiah Komputer, 17(2), 95–106. http://ojs.stmik-banjarbaru.ac.id/index.php/progresif/article/view/652
Risqianti, & Ismanto, B. (2017). Analisis Komparasi Algoritma Naive Bayes Dan C4-5 Untuk Waktu Kelulusan Mahasiswa. IC-Tech, XII(1), 33–38.
Rohman, I. F. (2015). Penerapan Algoritma C.45 Pada Kepuasan Pelanggan Perum Damri. Ilmu Komputer, 1–14.
Santosa, B. (2007). Data Mining Teknik Pemanfaatan Data Untuk Keperluan Bisnis. Graha Ilmu.
Sugiyono. (2015). Metode Penelitian Pendidikan, Pendekatan Kuantitatif, Kualitatif, dan R&D. In Penerbit Alfabeta Bandung. https://doi.org/10.1103/PhysRev.47.506
Tarigan, H. D., Destiawati, F., & Fitriansyah, A. (2017). Implementasi Algoritma C4.5 Terhadap Kepuasan Pelanggan. Ethos (Jurnal Penelitian Dan Pengabdian Masyarakat), Vol. 6, No, 80–86.
Published
2021-09-08
How to Cite
Umaidah, Y., & Enri, U. (2021). PREDICTION OF PUBLIC SERVICE SATISFACTION USING C4.5 AND NAÏVE BAYES ALGORITHM. Jurnal Pilar Nusa Mandiri, 17(2), 143-148. https://doi.org/10.33480/pilar.v17i2.2403
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