Implementasi Sistem Rekomendasi Tipe Rumah Menggunakan Metode Naïve Bayes
Article Sidebar
Main Article Content
Abstract
This research aims to overcome the challenges faced in the marketing sector, where data recording is still done manually, which can lead to data loss and time inefficiencies in the department. Finance department organizes data. Data used in this study were collected through stakeholder interviews and direct field observations. The data used for Naïve Bayes classification were obtained from the results of questionnaires completed by buyers, with a total of 62 data collected. The information system proposed in this study is built on a web platform using MySQL database and PHP programming language, using Laravel Framework. To understand the system flow in a structured way, architectural diagrams are used, while functional workflows are explained using diagrams. The result of this research is to design a system that can help housing development companies manage management and make house type recommendations to potential buyers.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Nawangsih, I. and Setyaningsih, A., 2019. Penerapan Algoritma Naive Bayes Untuk Menentukan Klasifikasi Produk Terlaris Pada Penjualan Pulsa. Jurnal SIGMA, 10(4), pp.9-15.
Damayanti, L., Gunawan, A.H. and Elkana, S.R., 2022. Prediksi Penggunaan Obat Peserta Jaminan Kesehatan Nasional Menggunakan Algoritma Naïve Bayes Classifier. Journal of Applied Computer Science and Technology, 3(1), pp.144-150. DOI: https://doi.org/10.52158/jacost.v3i1.295.
Putro, H.F., Vulandari, R.T. and Saptomo, W.L.Y., 2020. Penerapan Metode Naive Bayes Untuk Klasifikasi Pelanggan. Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), 8(2), pp. 19-22. DOI: http://dx.doi.org/10.30646/tikomsin.v8i2.500.
Rahmadanti, T.F., Jajuli, M. and Purnamasari, I., 2021. Klasifikasi Pengguna Shopee Berdasarkan Promosi Menggunakan Naïve Bayes. Generation Journal, 5(2), pp.81-90. DOI: https://doi.org/10.29407/gj.v5i2.15998.
Utami, G.A.P., 2021. SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH SECARA ONLINE MENGGUNAKAN METODE NAIVE BAYES (Skripsi, STMIK AKAKOM).
Mia, S.A., 2022. HOUSING MARKETING INFORMATION SYSTEM IN CV. WIRA BUMI: SISTEM INFORMASI PEMASARAN PERUMAHAN PADA CV. WIRA BUMI. Jurnal Sistem Siber Sosial (JSSS), 1(1), pp.10-15.
Devega, M., Nasution, N. and Saputri, R., 2019. Sistem Informasi Perumahan pada PT. MAHKOTA HUTAMA PROPERTI Berbasis Web. ZONAsi: Jurnal Sistem Informasi, 1(1), pp.38-47. DOI: https://doi.org/10.31849/zn.v1.2374.
Kusrini, E.T.L. and Taufiq, E., 2009. Algoritma data mining. Yogyakarta: Andi Offset.
Ibrahim, A., 2016. Analisis implementasi manajemen kualitas dari kinerja operasional pada industri ekstraktif di Sulawesi Utara. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 4(2). DOI: https://doi.org/10.35794/emba.4.2.2016.13279.
Widiasa, I.K., 2007. Manajemen perpustakaan sekolah. Jurnal Perpustakaan Sekolah, Tahun, 1, pp.1-14.
Sidik, A., Sutarman, S. and Marlenih, M., 2017. Perancangan Sistem Informasi Penjualan Perumahan Citra Raya. Jurnal Sisfotek Global, 7(1), pp. 56-65. DOI: http://dx.doi.org/10.38101/sisfotek.v7i1.129.
Rosadi, D. and Lousiani, U., 2012. Aplikasi Pembuatan Laporan Keuangan Berbasis Web. Jurnal Computech & Bisnis, 6(2), pp.96-100.
Yusup, M., Aryani, D. and Suhendi, S., 2019. Desain Aplikasi Tracer Study Berbasis Web Menggunakan Laravel Framework. Journal Cerita, 5(2), pp.215-222.
Hermanto, B., 2019. Sistem Informasi Manajemen Keuangan pada PT. Hulu Balang Mandiri Menggunakan Framework Laravel. Jurnal Komputasi, 7(1), pp.17-26.