Pandemi Covid-19 saat ini merupakan bencana besar bagi global, covid 19 penyakit yang sangat merugikan dan memiliki dampak negative resiko diakibatkan oleh tidak hanya berpengaruh pada aspek kesehatan, tetapi juga berbagai lini kehidupan seperti PHK merumahkan pekerja. Bukan berdampak sektor ekonomi, transportasi pertanian, dunia pendidikan. Selama pandemi penurunan pendaftaran terhadap Pendidi...

This study proposes a model that utilizes soft computing and Markov Chains within a data mining framework to observe the stability of customer segments. The segmentation process in this study includes clustering of existing consumers and classification-prediction of segments for existing and new customers. Both a combination and an integration of soft computing techniques were used in the propo...

This paper argues that there are four key conceptual techniques used in Customer Relationship Management (CRM) which should be considered Imperatives for contemporary 21st century e-Business today. Customer Relationship Management itself may be defined as an attempt to find the most efficient way to focus the Marketing effort in order to generate revenue. The antecedents of successful Customer ...

The case involves the detection and qualiication of the most relevant predictors for repeat-purchase modelling in a direct marketing setting. Analysis is based on a wrapped form of feature selection using a sensitivity based pruning heuristic to guide a greedy, step-wise and backward traversal of the input space. For this purpose, we make use of a powerful and promising least squares version (L...

Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing such as age, gender, interests, spending habits, and so on. One of the easiest definitions is "a group of customers with shared needs". From this definition, it's clear what we need to identify customers with shared needs. The customer segmentation...

Predicting future sales is intended to control the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfillment of consumer demand can be prepared in a timely and cooperation with the supplier company can be maintained properly so that the company can avoid losing sales and customers. This study aims to propos...

Numerous firms accumulate large quantities of data or transactions after importing information systems and services, which leads to troubles with procedure. Firms also have demands find customers’ from datasets understand how develop marketing strategies accurately adjust their operational methods. Therefore, this study proposed customer ranking combined Big Data process based on the RFM model ...

Nowadays companies increasingly derive revenue from the creation and sustenance of long-term relationships with their customers. In such an environment, marketing serves the purpose of maximizing customer lifetime value (CLV) and customer equity, which is the sum of the lifetime values of the company’s customers. A frequently-encountered difficulty for companies wishing to measure customer prof...

The association between a reduction in fetal movements (RFM) and stillbirth has been noted for at least 450 years. This was formalised from the 1970s onwards in a series of studies that noted the increased incidence of stillbirth and FGR in women presenting with RFM, which in some cases preceded intrauterine fetal death by several days. Interpretation of the literature relating RFM to stillbirt...

Customer Segmentation is the process of grouping the customers based on their purchase habit. Data mining is useful in finding knowledge from huge amounts of data. The clustering techniques in data mining can be used for the customer segmentation process so that it clusters the customers in such a way that the customers in one group behave similar when compared to the customers in the other gro...