Klasifikasi Calon Nasabah Baru Menggunakan C.45 Sebagai Dasar Pemberian Pertanggungan Asuransi di PT Asuransi Central Asia Pematangsiantar
- Retno Ayu Syahfitri STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Agus Perdana Windarto STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
-
Harly Okprana
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
(*) Corresponding Author
Abstract
The problem that often arises in insurance problems is the number of customers who are in arrears in paying premiums, therefore a system is needed that can classify which prospective customers are in the eligible group and which customers are in the unfit group in submitting as insurance customers. so that the insurance company can solve the problem early. In this study, an information system for the classification of acceptance of prospective insurance customers was built using the Classification Tree C4.5. Classification tree C4.5 is used to generate the rules needed for the smooth classification process of customers in paying premiums and is formed from the conversion result of the construction of a classification tree (classification tree). The C4.5 algorithm is considered an algorithm that is very helpful in classifying data because the characteristics of the classified data can be obtained clearly, both (decision tree) and in the form of rules or If - then rules, making it easier for users to extract information on the data in question
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References
Azwanti, Nurul, ‘Analisa Algoritma C4.5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning’, Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer, 13.1 (2018), 33 <https://doi.org/10.30872/jim.v13i1.629>
Fitrianda, Meilina Indah, ‘Digital Digital Repository Repository Universitas Universitas Jember Jember Digital Digital Repository Repository Universitas Universitas Jember’, 2013
Putra, Dede Wira Trise, ‘Algoritma C4.5 Untuk Menentukan Tingkat Kelayakan Motor Bekas Yang Akan Dijual’, Jurnal TEKNOIF, 4.1 (2016), 16–22
Rani, Larissa Navia, ‘Klasifikasi Nasabah Menggunakan Algoritma’, Jurnal KomTekInfo Fakultas Ilmu Komputer, 2.2 (2015), 33–38
Yuli, Mardi, ‘Jurnal Edik Informatika Data Mining : Klasifikasi Menggunakan Algoritma C4 . 5 Data Mining Merupakan Bagian Dari Tahapan Proses Knowledge Discovery in Database ( KDD ) . Jurnal Edik Informatika’, Jurnal Edik Informatika, 2.2 (2017), 213–19
Defiyanti, Sofi, ‘Integrasi Metode Klasifikasi Dan Clustering Dalam Data Mining’, January 2015, 2015, 39–44
Santoso, Teguh Budi and Dela Sekardiana. 2019. “Penerapan Algoritma C4.5 Untuk Penentuan Kelayakan Pemberian Kredit ( Studi Kasus : Koperia - Koperasi Warga Komplek Gandaria ) Implementation of C4 . 5 Algorithm To Determine The Feasibility of Loan.” Jurnal Algoritma, Logika Dan Komputasi ll(1):130–37.
Firmansyah, Meidy and Rusito Aufany. 2016. “Implementasi Metode Decision Tree Dan Algoritma C4.5 Untuk Klasifikasi Data Nasabah Bank.” Infokam XII(1):1–12.
Hidayatus Sholihah, Fiqih Satria. 2018. “Implementasi Data Mining Klasifikasi Nasabah Potensial Menggunakan Algoritma C4.5 (Studi Kasus Adira Dinamika Multi Finance).” 2:179.
Purnamasai, Dewi and Bambang Hendrawan. 2013. “Analisis Kelayakan Bisnis Usaha Roti Ceriwis Sebagai Oleh-Oleh Khas Kota Batam Dewi.” Jurnal Akuntansi, Ekonomi Dan Manajemen Bisnis 3(1):83–87.
Maulana, Algifanri and Alfannisa Annurullah Fajrin. 2018. “Penerapan Data Mining Untuk Analisis Pola Pembelian Konsumen Dengan Algoritma Fp-Growth Pada Data Transaksi Penjualan Spare Part Motor.” Klik - Kumpulan Jurnal Ilmu Komputer 5(1):27.
Fitrianda, Meilina Indah. 2013. “Digital Digital Repository Repository Universitas Universitas Jember Jember Digital Digital Repository Repository Universitas Universitas Jember.”
Sucipto, Adi. 2015. “Pada Koperasi Simpan Pinjam Dengan Menggunakan METODE Algoritma Klasifikasi C4.5.” JUrnal DISPROTEK 6(1):75–87.
Fatmawati, Fatmawati. 2016. “Perbandingan Algoritma Klasifikasi Data Mining Model C4.5 Dan Naive Bayes Untuk Prediksi Penyakit Diabetes.” None 13(1):50–59.
Yuli, Mardi. 2017. “Jurnal Edik Informatika Data Mining : Klasifikasi Menggunakan Algoritma C4 . 5 Data Mining Merupakan Bagian Dari Tahapan Proses Knowledge Discovery in Database ( KDD ) . Jurnal Edik Informatika.” Jurnal Edik Informatika 2(2):213–19.
Iswandy, Eka, Dosen Sekolah Tinggi Manajemen Informatika Komputer, and STMIK Jayanusa Padang. 2015. “Sistem Penunjang Keputusan Untuk Menentukan Dan Santunan Sosial Anak Nagari Dan Penyaluran Bagi Mahasiswa Dan Pelajar Kurang Mampu.” Jurnal TEKNOIF 3(2).
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Pages: 40-48
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