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All Journal ANDHARUPA Jurnal Informatika Upgris ILKOM Jurnal Ilmiah Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Citrakara Moneter : Jurnal Keuangan dan Perbankan Jurnal bahasa, sastra, seni, dan pengajarannya
Akrom, Ahmad
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Implementation of RFM Method and K-Means Algorithm for Customer Segmentation in E-Commerce with Streamlit Alzami, Farrikh; Sambasri, Fikri Diva; Nabila, Mira; Megantara, Rama Aria; Akrom, Ahmad; Pramunendar, Ricardus Anggi; Prabowo, Dwi Puji; Sulistiyawati, Puri
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1524.32-44

Abstract

E-commerce is selling and buying goods through an online or online system. One of the business models in which consumers sell products to other consumers is the Customer to Customer (C2C) business model. One thing that needs to be considered in the business model is knowing the level of customer loyalty. By knowing the level of customer loyalty, the company can provide several different treatments to its customers to maintain good relationships with customers and increase product purchase revenue. In this study, the author wants to segment customers on data in E-commerce companies in Brazil using the K-Means clustering algorithm using the RFM (Recency, Frequency, Monetary) feature and display it in the form of a dashboard using the Streamlit framework. Several stages of research must be carried out. Firstly, taking data from the open public data site (Kaggle), then merging the data to select some data that needs to be used, understanding data by displaying it in graphic form, and conducting data selection to select features/attributes. The step follows the proposed method, performs data preprocessing, creates a model to get the cluster, and finally displays it as a dashboard using Streamlit. Based on the results of the research that has been done, the number of clusters is 4 clusters with the evaluation value of the model using the silhouette score is 0.470.
Co-Authors Abi Senoprabowo Agus Setiawan Al Yaasiin, Majda Alfianto, Hafiz ALI MUQODDAS Alzami, Farrikh Auria Farantika Yogananti, Auria Farantika Cahaya Jatmoko Dwi Puji Prabowo, Dwi Puji Henry Bastian, Henry Herlambang, Bagus Teguh Khairul Mustaqin, Khairul Khamadi Khamadi Khamadi Laksana, Deddy Award Widya Megantara, Rama Aria Nabila, Mira Nur Rokhman Prabowo, D.P. Puri Sulistiyawati Ricardus Anggi Pramunendar Ritzkal, Ritzkal Sambasri, Fikri Diva Sasono Wibowo Toto Haryadi, Toto Wardhana, Ramadhan Prabu Kusuma