Application of the C4.5 Algorithm to Predict the Effectiveness of Google Adwords Ads
Abstract
Google Adswords is a product that you can use to promote your business, help sell products or services, raise awareness, and increase traffic to your site. Nayaka Technology is currently using the services of Google Adswords as a way to boost sales and expand the network. However, because broadcast planning was not carried out in advance, the results obtained were not satisfactory. In the next campaign, planning will be carried out first using the history on the previous campaign's broadcast reports, the data is processed using data mining techniques to predict the market. The model used is the C4.5 algorithm, the results of the C4.5 algorithm model are tested using a confusion matrix and get 92.70% of accuracy, 78.23% of precision and 97.25% of recall.
Keywords: Google Adswords, Algoritma C4.5, Data Mining.
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R. Oktalyra, C. Dwi, and K. Ananda, “Pelatihan Penggunaan Media Sosial Untuk Promosi Usaha Atau Bisnis Bagi Remaja Di Daerah Cikokol Tangerang,” ADI Pengabdi. Kpd. Masy., vol. 1, no. 2, pp. 54–59, 2021, doi: 10.34306/adimas.v1i2.432.
S. Lindawati, M. Hendri, and J. Hutahaean., Pemasaran Digital. Yayasan Kita Menulis, 2020.
F. R. Pratiwi and A. Rachman, “Rancang Bangun Iklan Web Banner Clothing Menggunakan Google Web Designer Pendekatan Metode Design Sprint,” J. Tekno Kompak, vol. 15, no. 2, p. 127, 2021, doi: 10.33365/jtk.v15i2.1243.
S. Yoon, J. Koehler, and A. Ghobarah, “Prediction of advertiser churn for google adwords,” JSM Proc., 2010.
G. Chakti, The Book Of Digital Marketing: Buku Pemasaran Digital. Celebes Media Perkasa, 2019.
J. Liang, H. Yang, J. Gao, C. Yue, S. Ge, and B. Qu, “MOPSO-based CNN for keyword selection on google ads,” IEEE Access, vol. 7, pp. 125387–125400, 2019, doi: 10.1109/ACCESS.2019.2937339.
G. Inc., “Google Ads : Definisi,” support.google.com, 2020. .
S. Shakya, “A Self Monitoring and Analyzing System for Solar Power Station using IoT and Data Mining Algorithms,” J. Soft Comput. Paradig., vol. 3, no. 2, pp. 96–109, 2021, doi: 10.36548/jscp.2021.2.004.
R. Asmara, M. F. Ardiansyah, and M. Anshori, “Analisa Sentiment Masyarakat terhadap Pemilu 2019 berdasarkan Opini di Twitter menggunakan Metode Naive Bayes Classifier,” INOVTEK Polbeng - Seri Inform., vol. 5, no. 2, p. 193, 2020, doi: 10.35314/isi.v5i2.1095.
E. D. Sikumbang, “Penerapan Data Mining Penjualan Sepatu Menggunakan Metode Algoritma Apriori,” J. Tek. Komput. AMIK BSI, vol. Vol 4, No., no. September, pp. 1–4, 2018.
I. Nurdiyanto, O. Nurdiawan, R. Nining, A. I. Purnamasari, and D. A. Kurnia, “Penentuan Keputusan Pemberian Pinjaman Kredit Menggunakan Algoritma C.45,” vol. 2, no. 1, pp. 1–5, 2022.
H. Sulaiman, “Perbandingan Algoritma Decision Tree C4.5 Dan Naive Bayes pada Analisa Tekstur Gray Level Co-Occurrence Matrix Menggunakan Citra Wajah,” Sistemasi, vol. 10, no. 2, p. 470, 2021, doi: 10.32520/stmsi.v10i2.1305.
Y. Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4.5,” Edik Inform., vol. 2, no. 2, pp. 213–219, 2017, doi: 10.22202/ei.2016.v2i2.1465.
J. Eska, “Penerapan Data Mining Untuk Prediksi Penjualan Wallpaper Menggunakan Algoritma C4.5,” vol. 2, 2018, doi: 10.31227/osf.io/x6svc.
L. Y. Lumban Gaol, M. Safii, and D. Suhendro, “Prediksi Kelulusan Mahasiswa Stikom Tunas Bangsa Prodi Sistem Informasi Dengan Menggunakan Algoritma C4.5,” Brahmana J. Penerapan Kecerdasan Buatan, vol. 2, no. 2, pp. 97–106, 2021, doi: 10.30645/brahmana.v2i2.71.
U. Enri and E. P. Sari, “Government Policies Modeling in Controlling Indonesia’S Covid-19 Cases Using Data Mining,” J. Pilar Nusa Mandiri, vol. 17, no. 1, pp. 67–72, 2021, doi: 10.33480/pilar.v17i1.2206.
DOI: https://doi.org/10.32520/stmsi.v12i1.1978
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