Comparison of Model in Predicting Customer Churn Based on Users' habits on E-Commerce

Lubis, Arif Ridho; Prayudani, Santi; Julham, -; Nugroho, Okvi; Lase, Yuyun Yusnida; Lubis, Muharman

doi:10.1109/isriti56927.2022.10052834

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…The factors that influence customer churn can vary, and it is important for companies to understand these factors in order to address them and retain customers. The following is a discussion of customer churn and its factors, as well as some ways to overcome it [9] [12]. First, one important factor that can cause customer churn is lack of customer satisfaction.…”

Section: Customer Churnmentioning

confidence: 99%

Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction

Lukita

2023

J. Appl. Data Sci.

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This research aims to predict and analyze customer churn using Data Mining and Machine Learning methods. The background of this research is based on the importance of understanding the factors that influence customer decisions to churn, as well as improving the effectiveness of customer retention strategies in a business context. The method used in this research involves the use of a customer bank dataset that includes information about customers who left in the past month, services registered by customers, customer account information, and demographic info about customers. The factors most influential to churn were identified through heatmap analysis, including MonthlyCharges, PaperlessBilling, SeniorCitizen, PaymentMethod, MultipleLines, and PhoneService. This research compares the performance of several machine learning algorithms, including Random Forest, Logistic Regression, Adaboost, and Extreme Gradient Boosting (XGBoost), to predict customer churn. Accuracy metrics and confusion matrix results are used to evaluate the performance of these algorithms. The results showed that XGBoost proved to be the best algorithm in predicting customer churn with high accuracy. The factors that have been correctly identified do not provide missed precision, showing a significant influence on customer churn decisions. The novelty and uniqueness of this research lies in focusing on the factors that have the most influence on customer churn and comparing the performance of machine learning algorithms. This research provides more specific and relevant insights for companies in developing effective customer retention strategies. However, this research has some limitations. One of them is the use of a dataset limited to a customer bank, so the generalizability of the findings of this research may be limited to that business context. In addition, other factors that are not the focus of this research may also contribute to the prediction of customer churn.

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Section: Customer Churnmentioning

confidence: 99%

Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction

Lukita

2023

J. Appl. Data Sci.

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“…Pupuk organik adalah pupuk yang tersusun dari materi makhluk hidup, seperti pelapukan sisasisa tanaman, hewan, dan manusia [1] [2]. Pupuk organik dapat berbentuk padat atau cair yang digunakan untuk memperbaiki sifat fisik, kimia, dan biologi tanah.…”

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Implementation of the Smart Method in Determining Organic Fertilizer in Palm Oil Plantations At PTPN IV Bah Jambi

Hafiz,

Lubis,

Irwan

2023

CoSIE

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Organic fertilizer is fertilizer composed of living creature material, such as weathered remains of plants, animals and humans. Organic fertilizer can be in solid or liquid form and is used to improve the physical, chemical and biological properties of soil. Organic fertilizer contains more organic material than its nutrient content. Sources of organic material can be compost, green manure, manure, harvest residues (straw, stover, corn cobs, sugar cane bagasse, and coconut husks), livestock waste, industrial waste that uses agricultural materials, and municipal waste (garbage). One solution for choosing the best organic fertilizer is to use a decision support system for selecting the best organic fertilizer using the Specific, Measurable, Achievable, Relevant and Timely (SMART) method. Where the author carries out calculations using the formulas available in the SMART method. A web-based application that has been created with a decision support system can make it easier for workers to choose the best organic fertilizer. The method used, namely the SMART method, has quite accurate results by going through several calculation processes.

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“…Saat ini banyak para pemilik jasa bordir komputer yang mulai bersaing. Persaingan tidak lepas dari media periklanan yang ditujukan untuk mempromosikan produk dan jasa [3] [4]. Media periklanan adalah media yang baik untuk mempromosikan suatu produk [5] [6].…”

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Designing Advertising Videos as Promotional Media In 3D Animation Based Computer Embroidery Services

Amartya,

Khairani,

Sarudin

2023

CoSIE

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The embroidery services business in Indonesia, starting from mid-2009, has begun to show its prospects. Until early 2016, the embroidery service business was growing rapidly since the advent of computer embroidery. Currently, many computer embroidery service owners are competing for the continuity of the service. Competition cannot be separated from advertising media aimed at promoting products and services. The problem in this research is how to promote computer embroidery services in increasing business productivity, how to introduce the public to computer embroidery services and how to design promotional advertising videos based on 3D animation. The computer embroidery business currently only relies on catalogs, where catalogs are only able to display information in the form of images in 2 dimensions to carry out promotions, so it needs to be developed further to create an attractive computer embroidery business model so that consumers are interested in using computer embroidery services. Consumers will be very interested if the catalog can present a form of visualization in the form of a 3-dimensional model that can be seen from various sides. This research implements 3D animation for marketing computer embroidery services using Blender software, the results of which will be used as promotional media. This research uses Blender software and aims to produce 3D animated advertising videos in order to market and promote computer embroidery services as well as as a medium of information and promotion to the public or consumers of computer embroidery services. The results of this research are in the form of advertising videos as promotional media for 3D animation-based computer embroidery services.

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Comparison of Model in Predicting Customer Churn Based on Users' habits on E-Commerce

Cited by 3 publications

References 35 publications

Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction

Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction

Implementation of the Smart Method in Determining Organic Fertilizer in Palm Oil Plantations At PTPN IV Bah Jambi

Designing Advertising Videos as Promotional Media In 3D Animation Based Computer Embroidery Services

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