Prediksi Customer Retention Perusahaan Asuransi Menggunakan Machine Learning
DOI:
https://doi.org/10.32736/sisfokom.v12i1.1507Keywords:
Data Mining, Machine Learning, Customer RetentionAbstract
The application of data mining technique currently is widely used in supporting business activity, especially for insurance company which has to analyze a big number of customer data. The insurance company has to predict its new customer acquisition as well as maintain its existing customers. This paper is focused on how we support insurance companies, especially PT. XYZ, to analyze their customers’ characteristics data using the best data mining algorithm technique. The research aims to analyze existing customer data and to predict as well as find optimal patterns of how many of their customers will extend their insurance policies, and how many will not. We also explore the customer retention rate discovering the optimal solution for the company. We applied 4 different algorithms were applied, i.e. support vector machine algorithm, decision tree, k-NN, and random forest algorithm, comparing the results and finding a better solution. From the analysis, we found that the random forest algorithm provides better results in predicting the status of the insurance policy extension of current customers, with an accuracy rate of 91.08% and AUC value of 0.962. This result is quite good for PT XYZ, and could be enhanced in the future by applying a good strategy to increase their customer renewal ratio.References
R. Riduan and S. Dedy, "Analysis of IndiHome Internet Network Usage System at PT. Telkom, Tbk Palembang," Universitas Bina Darma, 2020..
A. A. Mamusung, N. B. Anshary, and R. A. Sumarni, "Design of Wifi. Id Access Disturbance Monitoring System at PT Telkom East Jakarta Region Based on Netbeans," National Journal of Computing and Information Technology (JNKTI), vol. 3, no. 3, pp. 255-261, 2020.
M. L. DAMSIR, "Effect of Service Quality and Product Quality on Consumer Loyalty of IndiHome Service in Pekanbaru," State Islamic University Sultan Syarif Kasim Riau, 2019.
D. Arianty, D. Antoni, and M. Akbar, "Teacher Readiness in Using Information Technology for 2013 Curriculum Learning in SMP Negeri Kota Palembang," Journal of Information System and Informatics Development, vol. 1, no. 1, pp. 1-15, 2020.
N. A. Aulia, D. Antoni, D. Syamsuar, and W. Cholil, "Information Technology Security Management System Based on COBIT 5 Framework (Case Study: SMA NEGERI 1 PALEMBANG)," Journal of Informatics, vol. 9, no. 2, pp. 30-37, 2021.
E. Retnawiyati, D. Antoni, and M. I. Herdiansyah, "Information Technology Service Management Model Based on ITIL Version 3 in LLDIKTI Region II," Journal of Computer Information System and Technology (SISKOMTI), vol. 4, no. 1, pp. 1-9, 2021.
H. Budiman, "The role of information and communication technology in education," Al-Tadzkiyyah: Journal of Islamic Education, vol. 8, no. 1, pp. 31-43, 2017.
R. Hutami and E. Z. Astuti, "Implementation of K-Nearest Neighbor Method for Furniture Sales Prediction at CV. Octo Agung Jepara," Univ. Dian Nuswantoro Semarang, vol. 3, no. 2, pp. 40-51, 2016.
J. Avegad and A. Wibowo, "Data Mining Klasifikasi Untuk Memprediksi Status Keberlanjutan Polis Asuransi Kesehatan Dengan Algoritme Naïve Bayes," in Prosiding Seminar Nasional Teknologi Informasi dan Komunikasi (SeNTIK), vol. 3, no. 1, pp. 1-6, 2019.
D. R. Utari and A. Wibowo, "Pemodelan Prediksi Status Keberlanjutan Polis Asuransi Kendaraan dengan Teknik Pemilihan Mayoritas Menggunakan Algoritma-Algoritma Klasifikasi Data Mining," in Jurnal Sistem Informasi dan Teknologi Informasi (JSITI), vol. 5, no. 1, pp. 19-24, 2020.
S. Susanto and D. Suryadi, "Introduction to data mining: extracting knowledge from data chunks," Ed: Andi Publisher, 2010.
A. M. Siregar, S. Kom, M. K. D. A. Puspabhuana, S. Kom, and M. Kom, Data Mining: Processing Data into Information with RapidMiner. CV Kekata Group, 2017.
A. P. Natasuwarna, "Challenges facing the 4.0 revolution era-big data and data mining," SINDIMAS, vol. 1, no. 1, pp. 23-27, 2019.
E. Prasetyowati, DATA MINING: Clustering Data for Information and Evaluation. Duta Media Publishing, 2017.
M. Fauzy and I. Asror, "Penerapan metode association rule menggunakan algoritma apriori pada simulasi prediksi hujan wilayah kota bandung," Jurnal Ilmiah Teknologi Infomasi Terapan, vol. 2, no. 3, pp. 221-227, 2016.
W. Alimuddin, E. Tungadi, and Z. Saharuna, "Analisis Tingkat Kecelakaan Lalu Lintas Dengan Metode Association Rule Menggunakan Algoritma Apriori Analisis Tingkat Kecelakaan Lalu Lintas Dengan Metode Association Rule, January, 2018.
O. Pahlevi, A. Mulyani, and M. Khoir, "Sistem Informasi Inventori Barang Menggunakan Metode Object Oriented di PT. Livaza Teknologi Indonesia Jakarta," PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer, vol. 5, no. 1, pp. 27-35, March 31, 2018.
I. P. Astuti, "Algoritma Apriori Untuk Menemukan Hubungan Antara Jurusan Sekolah Dengan Tingkat Kelulusan Mahasiswa," Jurnal Teknik Informatika, vol. 12, no. 1, pp. 69-78, 2019.
I. D. Id, Machine Learning: Teori, Studi Kasus dan Implementasi Menggunakan Python. Unri Press, 2021.
B. Santoso and A. I. Azis, Machine Learning & Reasoning Fuzzy Logic Algoritma, Manual, Matlab, & Rapid Miner. Deepublish, 2020.
A. M. Simanullang, "Makalah Machine Learning," 2021.
Y. Heryadi and T. Wahyono, Konsep Dan Implementasi, 2020.
R. Viryawan, A. Suroso, and R. Hasbullah, "Integrasi Dan Pengembangan Sistem Machine Learning Pada Kegiatan Maintenance Unit Bgmf Pt. Fi," Jurnal Aplikasi Bisnis dan Manajemen (JABM), vol. 7, no. 3, pp. 787-787, 2021.
T. Wahyono, Python for Machine Learning. Gava Media Yogyakarta, 2018.
R. S. Bahri and L. Lahindah, "Cross Channel Integration Dalam Meningkatkan Retensi Pelanggan Pada Industri Ritel," Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), vol. 3, no. 3, pp. 495− 501-495− 501, 2022.
R. S. Bahri, "Kajian Literature Strategi Ritel Omnichannel Sebagai Pengembangan Dari Strategi Ritel Multichannel Pada Industri Ritel," Journal of Accounting and Business Studies, vol. 5, no. 2, pp. 69-81, 2020.
N. S. Ying, et al., "The Antecedents and Outcome of Perceived Social Media Advertising Value (PSMAV) on Smartphone: Evidence from Malaysian Consumer Perspective," Journal of Xi’an University of Architecture & Technology, vol. 12, no. 3, pp. 3428-436, 2020.
R. Bramulya, I. Primiana, E. Febrian, and D. Sari, "Impact of Relationship Marketing, Service Quality and Customer Orientation of Service Employees on Customer Satisfaction and Behavioral Intentions and its Impact on Customer Retention," International Journal of Economics, Commerce and Management, vol. 4, no. 5, pp. 151-163, 2016.
M. J. Sembiring, A. Fattah, and S. Wahyudi, "Kapabilitas Manajemen Hubungan Pelanggan Offline to Online Sebagai Pondasi Pemberdayaan Pengrajin Hasil Olahan Ikan Laut Masyarakat Pesisir Jawa Timur," 2019.
K. Gengeswari, P. Padmashantini, and S. Sharmeela-Banu, "Impact of Customer Retention Practices on Firm Performance," International Journal of Academic Research in Business and Social Sciences, vol. 3, no. 7, pp. 68, 2013.
F. Rangkuti, "Customer Care Excellence: Meningkatkan Kinerja Perusahaan Melalui Pelayanan Prima Plus Analisis Kasus Jasa Raharja," Gramedia Pustaka Utama, 2017.
E. Winata, "Pengaruh Bauran Pemasaran Jasa Terhadap Loyalitas Konsumen Pada Grand Serela Hotel & Convention Medan," Jurnal Mutiara Manajemen, vol. 2, no. 1, pp. 104-117, 2017.
A. Handijono, R. I. Gunarto, and S. Marpitasa, "Menjaga Loyalitas Pelanggan Dengan Strategi CRM pada PT. Desalite, Pamulang," RESWARA: Jurnal Pengabdian Kepada Masyarakat, vol. 2, no. 1, pp. 64-71, 2021
D. C. Y. Simanjuntak and P. Y. Purba, "Peran Mediasi Customer Satisfaction dalam Customer Experience Dan Loyalitas Pelanggan," Jurnal Bisnis dan Manajemen, vol. 7, no. 2, pp. 2020-11-30, 2020, doi: 10.26905/jbm.v7i2.4795.
R. Nurfajriah and K. Widiawati, "Strategi Pemasaran Produk Wheater Strip Pada PT Toyota Auto Body Tokai Extrusion Bekasi," Jurnal Mahasiswa Bina Insani, vol. 5, no. 1, pp. 11-20, Aug. 2020.
N. A. Lilawangsa and A. Triyono, "Strategi Komunikasi Pemasaran Terpadu PT. Rumawan Pusaka Negeri Dalam Mempertahankan Loyalitas Pelanggan," Universitas Muhammadiyah Surakarta, 2022.
R. Munandar, N. Afrilla, and R. Y. Septa, "Strategi Customer Retention Marketing (CRM) Pada Distributor Duta Parfum Center Dalam Mempertahankan Pelanggan," Universitas Sultan Ageng Tirtayasa, 2018.
C. Thendywinaryo, A. Sidik, and F. Goenawan, "Analisis Strategi Customer Relationship Management Untuk Mempertahankan Loyalitas Pelanggan Umkm Retail Non-Makanan Di Indonesia Timur (Studi Kasus Pada New Em Collection)," Jurnal e-Komunikasi, vol. 9, no. 2, 2021.
S. Nasir, "Customer retention strategies and customer loyalty," in Advertising and Branding: Concepts, Methodologies, Tools, and Applications, IGI Global, 2017, pp. 1178-1201.
H. Haron, S. Abu Bakar, H. Haron, and H. K. Hui, "Critical success factors on delivery preferences of e-commerce in Malaysia," International Journal of Academic Research in Business and Social Sciences, vol. 7, no. 11, pp. 1383-1393, 2017.
G. Adnan, D. Rukminingsih, M. Adnan Latief, E. Munastiwi, and H. Ardi (Eds.), Metode Penelitian Pendidikan: Penelitian Kuantitatif, Penelitian Kualitatif, Penelitian Tindakan Kelas, Erhaka Utama, 2020, p. 170.
A. Masri, "Persepsi siswa terhadap kompetensi profesional guru agama hubungannya dengan intensitas belajar siswa pada mata pelajaran PAI: penelitian pada siswa kelas VIII di SMP PGRI 10 Kota Bandung," UIN Sunan Gunung Djati Bandung, 2010.
H. A. Imron, "Peran Sampling dan Distibusi Data dalam Penelitian Komunikasi Pendekatan Kuantitatif," Jurnal Studi Komunikasi dan Media, vol. 21, no. 1, pp. 111-126, 2017.
Y. Kartika and N. Husna, "Meningkatkan Pemahaman Konsep Siswa Pada Materi Sifat-Sifat Bangun Ruang Dengan Model Pembelajaran Project Based Learning Di Kelas VI SD Negeri 1 Sawang," Jurnal Pendidikan Almuslim.
E. Barlian, "Metodologi penelitian kualitatif & kuantitatif," 2018.
R. Handayati, "Pengaruh Karakteristik Individu terhadap Kinerja Karyawan di Bank Jatim Cabang Lamongan (Suatu Studi pada Bank Jatim Cabang Lamongan)," Jurnal Penelitian Ekonomi dan Akuntansi (JPENSI), vol. 1, no. 2, pp. 14 Halaman, 2016.
R. Sharda, D. Delen, and E. Turban, "Business intelligence analytics and data science: A managerial perspective," in Business Intelligence Analytics and Data Science: A Managerial Perspective, 2022.
Salesforce, "How to Improve Your Customer Retention Rate," https://www.salesforce.com/resources/articles/customer-retention-rate/, accessed 21, 2022.
R. Ahmad and F. Buttle, "Customer retention management: a reflection of theory and practice," Marketing Intelligence & Planning, vol. 20, no. 3, pp. 149-161, 2002, doi: 10.1108/02634500210428003.
N. W. Wardani, G. R. Dantes, and G. Indrawan, "Prediksi customer churn dengan algoritma decision tree C4. 5 berdasarkan segmentasi pelanggan untuk mempertahankan pelanggan pada perusahaan retail," in Jurnal RESISTOR (Rekayasa Sistem Komputer), vol. 1, no. 1, pp. 16-24, 2018.
D. Gunawan, D. Riana, D. Ardiansyah, F. Akbar, and S. Alfarizi, "Komparasi Algoritma Support Vector Machine Dan Naive Bayes Dengan Algoritma Genetika Pada Analisis Sentimen Calon Gubernur Jabar 2018-2023," in Seminar Nasional Informatika (SNIf), 2020, vol. 1, pp. 135-138.
S. Hendrian, "Algoritma Klasifikasi Data Mining Untuk Memprediksi Siswa Dalam Memperoleh Bantuan Dana Pendidikan," in Faktor Exacta, vol. 11, no. 3, 2018.
N. Nurajijah, D. A. Ningtyas, and M. Wahyudi, "Klasifikasi Siswa SMK Berpotensi Putus Sekolah Menggunakan Algoritma Decision Tree, Support Vector Machine dan Naive Bayes," in Jurnal Khatulistiwa Informatika, vol. 7, no. 2, pp. 11-2019, doi: 10.31294/jki.v7i2.6839.
M. Yusa and W. Sindu, "Evaluasi Model Decision Tree C4.5 Guna Prediksi Posibilitas Resiko Obesitas," in Seminar Nasional Informatika (SNIf), vol. 1, no. 1, pp. 147-152, 2017.
A. M. Siregar, "Klasifikasi Algoritma TF dan Neutral Network dalam Sentimen Analisis," Jurnal Accounting Information System (AIMS), vol. 1, no. 2, pp. 93-100, 2018.
G. A. Panharesi and I. G. Anugrah, "Klasifikasi Waktu Penyelesaian Skripsi Mahasiswa Menggunakan Metode Weighted Naive Bayes (Studi Kasus: Program Studi Teknik Informatika Universitas Muhammadiyah Gresik)," 2022.
A. Kurniawan and S. A. Indriati, "Analisis Sentimen Opini Film Menggunakan Metode Naive Bayes dan Lexicon Based Features," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer e-ISSN, vol. 2548, p. 964X, 2019.
I. Daqiqil, Y. Andriani, and E. Mahdiyah, "Strategi TIK untuk Meningkatkan Peringkat Webometric Universitas Riau Menggunakan Metode GAP Analysis," Sistemasi: Jurnal Sistem Informasi, vol. 10, no. 2, pp. 300-322, 2021.
R. B. Ugra Wijaya St, "Analisis Stabilitas Lereng Berdasarkan Receiver Operating Characteristic (ROC) Daerah Pekandangan, Kecamatan Banjarmangu, Kabupaten Banjarnegara, Provinsi Jawa Tengah," UPN "Veteran" Yogyakarta, 2022.
B. T. R. Doni, S. Susanti, and A. Mubarok, "Penerapan Data Mining untuk Klasifikasi Penyakit Hepatocellular Carcinoma Menggunakan Algoritma Naive Bayes," Jurnal Responsif: Riset Sains dan Informatika, vol. 3, no. 1, pp. 12-19, 2021.
A. Darmawan, N. Kustian, and W. Rahayu, "Implementasi Data Mining Menggunakan Model SVM untuk Prediksi Kepuasan Pengunjung Taman Tabebuya," STRING (Satuan Tulisan Riset dan Inovasi Teknologi), vol. 2, no. 3, pp. 299-307, 2018.
W. Nengsih, M. M. Zein, and N. Hayati, "Coarse-Grained Sentiment Analysis Berbasis Natural Language Processing–Ulasan Hotel," Jurnal Nasional Teknik Elektro dan Teknologi Informasi, vol. 10, no. 1, pp. 41-48, 2021.
L. A. Utami, "Analisis Sentimen Opini Publik Berita Kebakaran Hutan Melalui Komparasi Algoritma Support Vector Machine Dan K-Nearest Neighbor Berbasis Particle Swarm Optimization," Jurnal Pilar Nusa Mandiri, vol. 13, no. 1, pp. 103-112, 201.
M. R. Faisal and D. T. Nugrahadi, Belajar Data Science: Klasifikasi dengan Bahasa Pemrograman R, 2017.
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