An Improved Customer Relationship Management Model for Business-to-Business E-commerce Using Genetic-Based Data Mining Process

Makinde, Ayodeji Samuel; Vincent, Olufunke Rebecca; Akinwale, Adio T.; Oguntuase, Adebayo; Acheme, Ijegwa David

doi:10.1109/icmcecs47690.2020.240875

Cited by 6 publications

(10 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pengetahuan dari berbagai bidang dapat diterapkan ke dalam bidang teknologi sehingga dapat membantu manusia dalam melakukan banyak hal seperti melakukan prediksi pengenalan pola wajah, pengenalan suara, dan banyak lagi. Dengan melakukan pendekatan ini maka manusia membuat komputer yang dapat berpikir seperti cara manusia berpikir dan memecahkan sebuah masalah sehingga komputer seolah-olah memiliki kecerdasan (Makinde, Vincent, Akinwale, Oguntuase, & Acheme, 2020;Saura, Palacios-Marqués, & Ribeiro-Soriano, 2021;Simanullang, Silalahi, & Sartika, 2022). Halaman 145…”

Section: Pendahuluanunclassified

Supervised Learning Metode K-Nearest Neighbor Untuk Prediksi Diabetes Pada Wanita

Silalahi

Simanullang

2023

jmika

View full text Add to dashboard Cite

Supervised learning is a technique of machine learning by doing learning that has a reference value to direct something, one of which is the K-Nearest Neighbor (KNN) method. This method is for object classification through learning data that is closest to the object (neighbor) using euclidean distance to calculate the distance. KNN can be used for data classification that already has a reference, in this case the dataset used is the diabetes mellitus dataset in women. DM is a disease that can cause complications in parts of the body that cause death. DM in women can be seen from several parameters such as glucose levels, blood pressure, skin thickness, insulin hormone, body index mass, age, number of pregnancies, and the number of family history of diabetes. In this research, KNN will be used for the classification of diabetes in women with two classes, namely DM Positive and DM Negative, in other words, a woman can be predicted to suffer from DM disease or not. This method will be implemented into a system with PHP programming language and Codeigniter Framework. KNN testing is carried out with three test scenarios, the 1st test with 150 test data gets an 82% accuracy rate, the 2nd data test with 200 test data gets an 84% accuracy rate, and the 3rd data test with 300 test data gets an 82% accuracy rate.

show abstract

Section: Pendahuluanunclassified

Supervised Learning Metode K-Nearest Neighbor Untuk Prediksi Diabetes Pada Wanita

Silalahi

Simanullang

2023

jmika

View full text Add to dashboard Cite

show abstract

“…By melding CRM with e-commerce platforms, enterprises can delve into granular customer data analysis, tailor services to individual preferences, and heighten engagement with customers via online conduits [7], [28], [51]. This integration allows businesses to attain a deeper comprehension of customer needs and inclinations, optimize marketing endeavors, and enhance customer loyalty in the dynamic e-commerce arena.…”

Section: Enhanced E-commerce Integrationmentioning

confidence: 99%

“…Elevated costs within CRM implementation are frequently attributed to pricy system selection, intricate customization, and integration processes, in addition to the necessary investments in training and support [4], [25], [28], [48]. These financial burdens can strain budgets and divert resources from other critical initiatives.…”

Section: Cost Overrunsmentioning

confidence: 99%

“…The lack of engagement and leadership from management can be attributed to an underestimation of their pivotal role in CRM implementation or a lack of commitment to support the initiative [4], [9], [11], [28]- [30], [51], undermining the strategic alignment of CRM objectives and corporate targets. Their active involvement is essential to steer the initiative, communicate its significance, and ensure its seamless integration into the organizational fabric.…”

Section: Absence Of Leadership and Management Involvementmentioning

confidence: 99%

“…Subpar quality and quantity of data are often the result of vague data collection, management, and maintenance protocols [13], [14], [24], [28], [47], [53]. These inadequacies hinder accurate predictions of tailored customer service, affecting the ability to provide personalized experiences and meet customer expectations.…”

Section: Deteriorated Data Quality and Quantitymentioning

confidence: 99%

See 2 more Smart Citations

Exploring Customer Relationship Management: Trends, Challenges, and Innovations

Fernando,

Sutomo,

Prabowo

et al. 2023

J. Inf. Syst. Informatics

View full text Add to dashboard Cite

This study presents a comprehensive exploration of recent advancements in Customer Relationship Management (CRM), acknowledging its pivotal role in fostering crucial connections both within the industry and with customers at large. The study delves deeply into CRM, aiming to enhance overall customer satisfaction. The primary focus of this study centers around critical facets of CRM, encompassing strategies for managing customer relationships, applications of information technology, analysis of customer data, and approaches for customer retention. Employing a literature review methodology, this research rigorously examines the most recent journals germane to the field of CRM. A total of 46 articles sourced from reputable journal databases constitute the foundation of this investigation. The findings of this study yield an enriched comprehension of contemporary developments concerning challenges, factors driving success, relevant domains, and implementation goals within the realm of Customer Relationship Management.

show abstract

An Enhanced Bank Customers Churn Prediction Model Using A Hybrid Genetic Algorithm And K-Means Filter And Artificial Neural Network

Yahaya

Abisoye

Bashir

2021

2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA)

View full text Add to dashboard Cite

An Improved Customer Relationship Management Model for Business-to-Business E-commerce Using Genetic-Based Data Mining Process

Cited by 6 publications

References 31 publications

Supervised Learning Metode K-Nearest Neighbor Untuk Prediksi Diabetes Pada Wanita

Supervised Learning Metode K-Nearest Neighbor Untuk Prediksi Diabetes Pada Wanita

Exploring Customer Relationship Management: Trends, Challenges, and Innovations

An Enhanced Bank Customers Churn Prediction Model Using A Hybrid Genetic Algorithm And K-Means Filter And Artificial Neural Network

Contact Info

Product

Resources

About