Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method
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Published:
May 31, 2020
Keywords:
Naïve Bayes, C4.5, Population, Public Service, Rapidminer
Section
Computer Science
Statistics Article
Article View : 130 Times
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Abstract
The Directorate General of Population and Civil Registration needs indicators for benchmarks in improving the quality of services for the community, one of which is conducting a survey of community satisfaction by using several attributes including requirements, mechanisms, completion times, product specifications, officer competencies, officer attitudes, reporting and advice as well as facilities and infrastructure where the satisfaction results can be classified using data mining. In this study, the authors tested two data mining classification methods, namely the C4.5 Algorithm method and the Naïve Bayes method using RapidMiner software. From the test method, the accuracy of 88.00% was obtained using the Naïve Bayes method and the C4.5 algorithm was obtained with an accuracy of 80.40%.
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How to Cite
Maulana, M. A., Triayudi, A. and Sholihati, I. D. (2020) “Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method: Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method”, Jurnal Mantik, 4(1), pp. 850-860. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/863 (Accessed: 18June2026).
References
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Puspa, M., & Sihotang, H. (2019). Decision Support System For Supplementary Food Recipients (PMT) By Using The Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 19-27. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/280
Purba, E., & Sihotang, H. (2019). Decision Support System For Prospective Recipients Of The Healthy Indonesia Card (Kis) In The Village Of Bah Sidua Dua With The Analytical Hierarchy Process (AHP) Method. Jurnal Mantik, 3(3, Nov), 82-90. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/320
Purba, R., & Sihotang, H. (2019). Decision Support Systems Recipient Program Keluarga Harapan (PKH) In Durian Kec.Pantai Labu Kab. Deli Serdang with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 91-98. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/325
Devi, S., & Sihotang, H. (2019). Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 112-118. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/334
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[3] E. Elisa, “Analisa dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi PT.Arupadhatu Adisesanti,” J. Online Inform., 2017, doi: 10.15575/join.v2i1.71.
[4] Hartatik dan Lestari Dewi.2019. Implemantasi Algoritma Naive Bayes Untuk Menentukan Tingkat Kepuasan Masyarakat Terhadap Pelayanan Publik (Studi Kasus: Balai Pengkajian Teknologi Pertanian Daerah Istimewa Yogyakarta). FAHMA. Jurnal Teknologi dan Ilmu Komputer. 17(2): 37-46
[5] I. Yulianti, “Analisis Komparasi Klasifikasi Algoritma C4.5 Dan Naïve Bayes Pada Prediksi Keberhasilan Software Reuse,” Swabumi, 2019, doi: 10.31294/swabumi.v7i1.5637.
[6] Kemenpan, “Peraturan Menteri Pendayagunaan Aparatur Negara Dan Reformasi Birokrasi Republik Indonesia Nomor 14 Tahun 2017 Tentang Pedoman Penyusunan Survei Kepuasan Masyarakat Unit Penyelenggara Pelayanan Publik,” Pedoman Penyusunan Survei Kepuasan Masy. Unit Penyelenggara Pelayanan Publik, 2017.
[7] Muflikhah, Lailil, dkk. 2018. Data Mining. Malang: UB Press.
[8] Nofriansyah, Dicky dan Nurcahyo, GW. 2019. Algoritma Data Mining dan Pengujian. Yogyakarta: Penerbit Deepublish.
[9] R. H. Pambudi, B. D. Setiawan, and Indriati, “Penerapan Algoritma C4 . 5 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., 2018.
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[12] T. H. Apandi and C. A. Sugianto, “Algoritma Naive Bayes untuk Prediksi Kepuasan Pelayanan Perekaman e-KTP,” JUITA J. Inform., 2019, doi: 10.30595/juita.v7i2.3608.
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Ndruru, T., & Riandari, F. (2019). Decision Support System Feasibility Lending At KSU Mitra Karya Cooperative Customer Unit XXVIII with Analytical Hierarchy Process Method. Jurnal Mantik, 3(3, Nov), 119-125. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/335
Sibagariang, R., & Riandari, F. (2019). Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method. Jurnal Mantik, 3(3, Nov), 99-103. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/327
Pamungkas, A., & Riandari, F. (2019). Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah. Jurnal Mantik, 3(3, Nov), 69-72. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/318
Ridandari, F., & Panjaitan, A. (2019). Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem. Jurnal Mantik, 3(3, Nov), 34-39. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/285
Situmorang, E., & Riandari, F. (2019). Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method. Jurnal Mantik, 3(3, Nov), 28-33. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/265
Anggraini, D., & Sihotang, H. (2019). Decision Support System For Choosing The Best Class Guardian With Simple Additive Weighting Method. Jurnal Mantik, 3(3, Nov), 1-9. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/278
Puspa, M., & Sihotang, H. (2019). Decision Support System For Supplementary Food Recipients (PMT) By Using The Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 19-27. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/280
Purba, E., & Sihotang, H. (2019). Decision Support System For Prospective Recipients Of The Healthy Indonesia Card (Kis) In The Village Of Bah Sidua Dua With The Analytical Hierarchy Process (AHP) Method. Jurnal Mantik, 3(3, Nov), 82-90. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/320
Purba, R., & Sihotang, H. (2019). Decision Support Systems Recipient Program Keluarga Harapan (PKH) In Durian Kec.Pantai Labu Kab. Deli Serdang with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 91-98. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/325
Devi, S., & Sihotang, H. (2019). Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 112-118. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/334