APLIKASI CRM JASA SERVIS AIR CONDITIONER PADA JAYA SERVICE BERBASIS ANDROID

In the current era, many Android applications have been used in the process of requesting goods or services that can facilitate activities, especially placing orders, especially in the case study below using services made by the company CV. Jaya Service, this service is difficult to promote by CV. Jaya Service because it only posts small banners on the side of the road so that the income level of this ac service does not increase or even decrease. In addition, the current process, customers always order ac service directly to the location, this takes a long time, and in the sales inspection process it becomes difficult and takes a long time. Customer relation management is needed to maximize activities or Many marketing items, sales, and sales processes are currently done automatically. Analytical customer relation management is very useful in exploiting data from customers in order to increase the quality value of the company, through a CRM business strategy that will be combined with a process, humans, with technology. assist in the process of adding customers related to sales, converting the company to permanent members, and maintaining existing permanent members, satisfied and loyal permanent members. This study aims to design a CRM Service AC Service on Android-based Jaya Service. From the results of this study, the system built can make it easier for customers to order ac service easily directly via cellphones and can provide convenience to Jaya Service in seeing incoming orders and the results of service order transactions.

CRM Software for Small and Medium Agro enterprises.

The key enabler for long-term sustenance of any organization, greatly depends on its ability to maintain strong and continuous relationship with its customers. In support to that, any technology enhanced, all-inclusive electronic Customer Relation Management (e-CRM) software, would directly complement the organization's performance by offering help in terms of identifying the potential customers and further plan various smart strategies to retain them. This article describes one such application built by using a free and open source Sugar CRM software developed at ICAR-NAARM to assist Small and Medium Agro-enterprises for automating their sales, marketing and customer service functions.

COMPARISON INTENT RECOGNITION ON FOOD DELIVERY SERVICE COMPLAINT IN TWITTER WITH RECURRENT AND CONVOLUTIONAL NEURAL NETWORK

In this research, the case of intent classification for Customer Relation Management (CRM) how to handle complaints as a domain to be followed up, where datasets are extracted from the conversation on Twitter. The research objectives support three key findings to comparing the CNNs and BRNNs model to intent recognition by vectorization text: (1) Which architecture performs better (accuracy) depends on how important it is to semantically understand the whole sequence and (2) Learning rate changes performance relatively smoothly, while the optimal result iterated by change hidden size and batch size result in large fluctuations. (3) Last, how word vectorization is able to define sub-domain of the complaints by word vector classification.

IMPACT OF E-COMMERCE ON ORGANISATIONAL PERFORMANCE: A DIAGNOSTIC APPROACH

The objective of this paper is to measure the impact of e-business implementation from the e-business process frame work. We have presented here some basic terms of influences with some observations. Basic considerations are from e-procurement and e-ordering. This paper provides a scientific basis for e-business strategies to find the basic impact of efficiency and effectiveness of e-procuring and e-ordering and strengthen customer relationship management. INDEX TERMS: e-procurement, e-business strategies, e-ordering, customer relation management

For Better Healthcare Mining Health Data

Data mining has great contributions to the healthcare such as support for effective treatment, healthcare management, customer relation management, fraud and abuse detection and decision making. The common data mining methods used in healthcare are Artificial Neural Network, Decision trees, Genetic Algorithms, Nearest neighbor method, Logistic regression, Fuzzy logic, Fuzzy based Neural Networks, Bayesian Networks and Support Vector Machines. The most used task is classification. Because of the complexity and toughness of medical domain, data mining is not an easy task to accomplish. In addition, privacy and security of patient data is a big issue to deal with because of the sensitivity of healthcare data. There exist additional serious challenges. This chapter is a descriptive study aimed to provide an acquaintance to data mining and its usage and applications in healthcare domain. The use of Data mining in healthcare informatics and challenges will be examined.