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Smirnova, A. S., and A. A. Khanova. "Conceptual Structure of the Insurance Company's Customer Database Management System." Proceedings of the Southwest State University 24, no. 2 (October 4, 2020): 122–35. http://dx.doi.org/10.21869/2223-1560-2020-24-2-122-135.
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Purpose of research is to develop a conceptual structure for managing the customer database of the insurance company based on the integration of models of data mining and system dynamics. The implementation of the conceptual structure involves clustering the customer database, modelling the dynamics of the customer database and developing strategic goals for each segment of the customer database in order to increase customer lifetime value.Methods. The article presents a theory-multiple model of the insurance company activity in the context of customer relationship management, which made it possible to determine the logical structure, system relationships as well as a set of functions performed within this process.Results. The proposed conceptual structure of the customer relationship management system includes tools for analyzing key indicators of the customer database, segmenting the database using several clustering methods and structuring by indicators of customer's profitability, satisfaction with insurance services as well as strategizing sales development for each customer segment, which includes the formation of management decisions in the form of marketing activities, optimizing costs and expenses in promoting services on the market due to rational and competent positioning.Conclusion. Based on the task set, an algorithm that allows analyzing the customer database by key indicators, segmenting, structuring customers and forming sales development strategies of the insurance company aimed not only at retaining existing customers but also at increasing the value of each one by increasing customer lifetime value and increasing sales for each cluster as well as increasing the volume of insurance premiums by attracting new customers is proposed.
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Iriqat, Raed A. M., and Mohannad A. M. Abu Daqar. "The Impact of Customer Relationship Management on Long-term Customers’ Loyalty in the Palestinian Banking Industry." International Business Research 10, no. 11 (October 13, 2017): 139. http://dx.doi.org/10.5539/ibr.v10n11p139.
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This paper aims to investigate the impact of customer relationship management on Long-term Customers’ Loyalty in the Palestinian banking industry. The data was collected through distributing questionnaires on the Palestinian banking employees. Using multiple regression analysis tests, this paper finds these results; there is a positive and strong linear relationship between dependent variable “long-term customers’ loyalty” and CRM, the CRM dimensions are service quality, customer’s database, solving customer’s problems, employees behavior, and CRM system integration. At the end, the two predictors (employee’s behavior and CRM system integration) explained 48.2% of the variance in the long-term customers’ loyalty. The scholars’ found that banks have to investigate why there is a difference in the service quality level between male and female employees where male employees more effective than females. Furthermore, banks need to update their customers’ database in order to be alerted to changes in their customers’ requirements and needs to retain their loyal relationships with customers.
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Indrajani, Indrajani. "Analisis dan Perancangan Sistem Basis Data pada Rumah Sakit." ComTech: Computer, Mathematics and Engineering Applications 1, no. 1 (June 1, 2010): 204. http://dx.doi.org/10.21512/comtech.v1i1.2226.
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The purpose of this study is to analyze and design a database to support the information needs of hospitals, especially in Customer Relationship Management (CRM). The method used is the method of collecting data by using data searching techniques that include interviews, document study, observation and literature study. Then the research uses the methods of analysis and database design database design that includes conceptual, logical, and physical. The conclusion the database system capable of storing data is integrated, hospital information needs, and improve health services to the customers in this patient in particular and society in general. Conclusions that can be gained from this research is the existence of this database system so the hospital can manage customer data and conducted traksaksi customers, improve the effectiveness in obtaining customer satisfaction and loyalty where customers are able to promote his experience to new customers, and become a hospital options through improved health services to the community.
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Łodziana-Grabowska, Joanna. "SIGNIFICANCE OF DATABASE MARKETING IN THE PROCESS OF TARGET SEGMENTS IDENTIFICATION AND SERVICE." Problems of Management in the 21st Century 6, no. 1 (April 5, 2013): 40–47. http://dx.doi.org/10.33225/pmc/13.06.40.
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The study aims at presenting the position and role of marketing databases in the enterprise’s market operations and achievement of sales targets. The study identifies the following elements pertaining to the discussed issue: essence and parts of the database marketing, significance of the database marketing in the process of target segments service, database and customer relationship management as well as the problem of the customers’ privacy in relation to their data being used and processed by market entities. It should be emphasized that the informational systems constitute the basic elements supporting the process of sales management and service of the company’s target segments. It should be stressed that for the trade marketing the identification of a recipient type is of significance, which is presented in this study with reference to the database marketing. The database may also contain the information on products, departments and sales force involved in a specific marketing action. With such database at their disposal the companies become mobile in terms of their offer adjustment to the market requirements, while by making the customer the central point of their focus, their marketing becomes an essential and effective tool of building their relationship with the customer. The database development in order to identify the potential customers is a significant project of impact on the efficiency of marketing and the process of target market service, both for small and large enterprises. Keywords: customer relationship management, database marketing, direct marketing, target market.
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Fahimnia, Fatima, Mahshid Eltemasi, Maryam Nakhoda, and Mohammad Hassanzadeh. "Conceptual Model of Customer Utility for Information Databases Used in Iran." International Journal of Asian Business and Information Management 8, no. 3 (July 2017): 52–62. http://dx.doi.org/10.4018/ijabim.2017070104.
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The purpose of this article is to address the factors that can increase the utility for customers of information databases in Iran. In order to achieve that, summarizing content analysis techniques was used. The study population consists of customers paying to use information databases in Iran. The bibliographical research has been done on utility related publications published in the 5-year period of 2011-2015, indexed on Science Direct, ProQuest and EBSCO information databases. Samples were randomly chosen from information database customers using paid services from two major information centers in Iran - University of Tehran Central library and Documentation Center and Organization for Industrial Management Library, for interviews. Results showed that the main factors affecting customer utility in using paid information databases are information needs, quality, Incentives, additional information and users' individual and social characteristics, respectively.
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Palaniappan, Shamala, Aida Mustapha, Cik Feresa Mohd Foozy, and Rodziah Atan. "Customer Profiling using Classification Approach for Bank Telemarketing." JOIV : International Journal on Informatics Visualization 1, no. 4-2 (November 15, 2017): 214. http://dx.doi.org/10.30630/joiv.1.4-2.68.
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Telemarketing is a type of direct marketing where a salesperson contacts the customers to sell products or services over the phone. The database of prospective customers comes from direct marketing database. It is important for the company to predict the set of customers with highest probability to accept the sales or offer based on their personal characteristics or behavior during shopping. Recently, companies have started to resort to data mining approaches for customer profiling. This project focuses on helping banks to increase the accuracy of their customer profiling through classification as well as identifying a group of customers who have a high probability to subscribe to a long term deposit. In the experiments, three classification algorithms are used, which are Naïve Bayes, Random Forest, and Decision Tree. The experiments measured accuracy percentage, precision and recall rates and showed that classification is useful for predicting customer profiles and increasing telemarketing sales.
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Zaki Ahmed, Ayat, and Manuel Rodríguez-Díaz. "Significant Labels in Sentiment Analysis of Online Customer Reviews of Airlines." Sustainability 12, no. 20 (October 20, 2020): 8683. http://dx.doi.org/10.3390/su12208683.
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Sentiment analysis is becoming an essential tool for analyzing the contents of online customer reviews. This analysis involves identifying the necessary labels to determine whether a comment is positive, negative, or neutral, and the intensity with which the customer’s sentiment is expressed. Based on this information, service companies such as airlines can design and implement a communication strategy to improve their customers’ image of the company and the service received. This study proposes a methodology to identify the significant labels that represent the customers’ sentiments, based on a quantitative variable, that is, the overall rating. The key labels were identified in the comments’ titles, which usually include the words that best define the customer experience. This database was applied to more extensive online customer reviews in order to validate that the identified tags are meaningful for assessing the sentiments expressed in them. The results show that the labels elaborated from the titles are valid for analyzing the feelings in the comments, thus, simplifying the labels to be taken into account when carrying out a sentiment analysis of customers’ online comments.
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Liao, Shu-hsien, and Yi-Shan Tasi. "Big data analysis on the business process and management for the store layout and bundling sales." Business Process Management Journal 25, no. 7 (October 14, 2019): 1783–801. http://dx.doi.org/10.1108/bpmj-01-2018-0027.
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Purpose In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue. Design/methodology/approach This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system. Findings Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development. Originality/value This research paper is an example to develop the BPM of database model and big data/data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry.
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Yusuf, Muhammad, and Hasanul Fahmi. "Sistem Pendukung Keputusan Untuk Menentukan Pelanggan Terbaik Pada Pizza Oei-Oei Medan Menggunakan Metode SAW." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 4, no. 3 (June 23, 2021): 203–8. http://dx.doi.org/10.32672/jnkti.v4i3.2977.
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The management of Pizza Oei-Oei Medan does not yet have a standard system in determining the best customer.m So far, this has been done randomly and without a structure in determining the best customer. Not fair to other customers. It takes a decision support system to determine the best customers who can make decisions from various alternatives and existing criteria in determining the best customers fairly. The method used is SAW (Simple Additive Weighting). SAW is a method that can determine the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. SAW method can be implemented to find out the best customers based on the criteria and weights that are determined correctly. This research is to determine the best customers at Pizza Oei-Oei Medan. The system is built with Visual Basic Studio programming language with Microsoft Access database.
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CIMPOERU, Catalin, and Anca Ioana ANDREESCU. "Predicting Customers Churn in a Relational Database." Informatica Economica 18, no. 3/2014 (September 30, 2014): 5–16. http://dx.doi.org/10.12948/issn14531305/18.3.2014.01.
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Samaan, Sama Salam. "Design and Implementation of a Pharmaceutical Inventory Database Management System." Al-Khwarizmi Engineering Journal 13, no. 1 (March 31, 2017): 118–28. http://dx.doi.org/10.22153/kej.2017.08.008.
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The main aim of this paper are the design and implementation of a pharmaceutical inventory database management system. The system was implemented by creating a database containing information about the stored medicines in the inventory, customers making transactions with the pharmaceutical trading company (which owns the inventory), medical suppliers, employees, payments, etc. The database was connected to the main application using C sharp. The proposed system should help in manag inginventory operations which include adding/updating employees’ information, preparing sale and purchase invoices, generating reports, adding/updating customers and suppliers, tracking customer payments and checking expired medicines in order to be disposed. The system can be used to facilitate smooth workflow of sale and purchase operations and bring the advantages of having the most efficient control with minimal efforts.
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Zhu, Xinjuan, Xuefei Li, Yifan Chen, Jingwei Liu, Xueqing Zhao, and Xiaojun Wu. "Interactive genetic algorithm based on typical style for clothing customization." Journal of Engineered Fibers and Fabrics 15 (January 2020): 155892502092003. http://dx.doi.org/10.1177/1558925020920035.
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Companies find it extremely difficult to predict consumers’ needs and requirements, since the spiritual significance of clothing is getting more and more attention. However, most current clothing customization platforms only allow customers to retrieve previous design components from the database and recombine them together, ignoring the customer’s personalized design requirements. In view of the above issues, an intelligent design approach of personalized customized clothing based on typical style and interactive genetic algorithm is proposed in this article. It could generate new fashion styles according to simple customer evolution. The binary coding scheme of suit coat style is presented. And an automatic suit coat design system based on interactive genetic algorithm is developed, in which 10 typical suit coats are selected as the initial population. The experimental results show that the system can alleviate customers’ fatigue and speed up convergence compared with the classic interactive genetic algorithm design, and the designed styles can better meet customers’ preferences.
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Manikandan, K., Niveditha V. R., Sudha K., Magesh S., and Radha Rammohan S. "Design and Development of Customer Relationship Management Recommendations by Clustering and Profiling of Customers Using RFM." International Journal of e-Collaboration 17, no. 4 (October 2021): 109–21. http://dx.doi.org/10.4018/ijec.2021100108.
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RFM (recency, frequency, monetary) examination is a method to perceive high-response customers in promoting progressions and to improve general response rates, which is remarkable and is comprehensively associated today. Less extensively understood is the estimation of applying RFM scoring to a customer database and evaluating customer advantage. A customer who has passed by an e-keeping cash site recently (R) and frequently (F) and influenced a huge amount of monetary to esteem (M) through portion and standing solicitations is presumably going to visit and make portions yet again. After appraisal of the customer's lead using specific RFM criteria, the RFM score is related to the bank excitement, with a high RFM score being more important to the bank by and by and later on.
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Bello-Salau, Habeeb, Adeiza James Onumanyi, David Michael, Ridwanullahi Isa, Caroline O. Alenoghena, and Henry Ohize. "A new automated smart cart system for modern shopping centres." Bulletin of Electrical Engineering and Informatics 10, no. 4 (August 1, 2021): 2028–36. http://dx.doi.org/10.11591/eei.v10i4.2762.
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Modern shopping centres are undoubtedly a beehive of intense shopping activities. However, customers are often plagued by salient challenges, which may include fatigue derived from pushing trolleys around the mall and prolonged sorting of bills by the cashier. These shopping challenges could be daunting for the elderly, disabled, pregnant and nursing mothers. In this paper, we addressed these shopping challenges by developing an autonomous shopping cart with the following characteristics; (1) it follows the customer’s movement relieving the need to push a cart, (2) it bills automatically all stock placed in the cart, (3) it prompts the customer to make payment and updates each stock via a local database. Our design adopts a Raspberry Pi, a camera and a few direct current motors programmed to achieve autonomy. We used an open-source cross platform software called XAMPP to create the database and used RFID tags to bill the items placed in the cart automatically. The system updates payments and communicates these transactions to a local database via nRF24 wireless transceivers. The experimental tests conducted demonstrate that our system successfully followed customers accurately within the mall. We consider our design a major contribution to the vision of automated shopping systems for the near future.
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Iriqat, Raed A. M., and Mohannad A. M. Abu Daqar. "The Mediating Role of Customers' Satisfaction on the Effect of CRM on Long-Term Customers Loyalty in the Banking Sector in the Palestinian Territory." Asian Social Science 14, no. 8 (July 27, 2018): 76. http://dx.doi.org/10.5539/ass.v14n8p76.
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This study aims to investigate the mediating role of customers' satisfaction on the effect of customer relationship management on long-term customers' loyalty in the banking sector in the Palestinian Territory. Using advanced statistical methods. This study supports that there is a high level in implementing the CRM, customers' satisfaction, and long-term customers' loyalty. It showed that these three variables: CRM, customers' satisfaction, and long-term customers' loyalty have a significant role on the Banking sector. CRM and its dimensions, and both of customers' satisfaction, and long-term customers' loyalty are positively significant correlated. Also, finds that there is no role for customers' satisfaction as a mediator variable in enhancing the impact of CRM on long-term customers' loyalty. Moreover, based on SEM the study shows that there is a direct impact of CRM system integration and customers satisfaction on long-term customers' loyalty, whereas there is a direct impact for customers' database and CRM system integration on customers' satisfaction. The scholars find that the Palestinian local banks should pay more efforts to improve their competences to enhance the quality of service and their employees' behavior level. On the other side, they need to keep their customers database updated and to be aligned with the cutting edge technologies to provide better service for customers, which is appropriate and meet their needs by obtaining the accurate information about their preferences in order to build a strong competitive advantage that is hard to imitate, this leads to build a strong relationship with customers.
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Zhang, Xiao Qian. "The Application of Data Mining in Customer Management of Magazine Editing System." Advanced Materials Research 846-847 (November 2013): 1048–51. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1048.
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China's commercial magazine faces of increasingly fierce competition in the customer, so it must improve its management and marketing method to enhance competitiveness. It is the key point to strengthening customer relationship management. The study in this paper uses data mining techniques to enhance the management of the customer to explore new customers, maintain overall customers and accelerate the development of the magazine. Through the establishment of large database and data mining, we find useful data and the relevance to support decision-making and better improve the competitiveness of the magazine.
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Fan, Y.-W., Y.-F. Miao, and S.-C. Wu. "Customer complaints and service policy in electronic commerce." South African Journal of Business Management 44, no. 3 (September 30, 2013): 15–20. http://dx.doi.org/10.4102/sajbm.v44i3.158.
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Handling customer complaints is an important strategy to retain customers. Therefore, in the event of service failure, e-retailers should concentrate on recovery policies. However, studies discussing prevention policies to avoid customer complaints are scant. This study collected 5933 real customer complaint data from an electronic commerce customer-service database and classified customer complaints into 6 types. The findings showed that a number of customers were dishonest and took advantage of recovery policies. After interviewing business managers and consultants, this research suggests that e-retailers have prevention policies to guarantee accuracy of packaging and delivery processes. Prevention policies can reduce customer complaints, and avoid extra costs for businesses conducting recovery policies.
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Lee, Youngsu, Joonhwan In, and Seung Jun Lee. "Social media engagement, service complexity, and experiential quality in US hospitals." Journal of Services Marketing 34, no. 6 (May 25, 2020): 833–45. http://dx.doi.org/10.1108/jsm-09-2019-0359.
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Purpose As social media platforms become increasingly popular among service firms, many US hospitals have been using social media as a means to improve their patients’ experiences. However, little research has explored the implications of social media use within a hospital context. The purpose of this paper is to investigate a hospital’s customer engagement through social media and its association with customers’ experiential quality. Also, this study examines the role of a hospital’s service characteristics, which could shape the nature of the interactions between patients and the hospital. Design/methodology/approach Data from 669 hospitals with complete experiential quality and demographic data were collected from multiple sources of secondary data, including the rankings of social media friendly hospitals, the Hospital Compare database, the Center for Medicare and Medicaid (CMS) cost report, the CMS impact file, the Healthcare Information and Management Systems Society Analytics database and the Dartmouth Atlas of Health Care. Specifically, the authors designed the instrumental variable estimate to address the endogeneity issue. Findings The empirical results suggest a positive association between a hospital’s social media engagement and experiential quality. For hospitals with a high level of service sophistication, the association between online engagement and experiential quality becomes more salient. For hospitals offering various services, offline engagement is a critical predictor of experiential quality. Research limitations/implications A hospital with more complex services should make efforts to engage customers through social media for better patient experiences. The sample is selected from databases in the US, and the databases are cross-sectional in nature. Practical implications Not all hospitals may be better off improving the patient experience by engaging customers through social media. Therefore, practitioners should exercise caution in applying the study’s results to other contexts and in making causal inferences. Originality/value The current study delineates customer engagement through social media into online and offline customer engagement. This study is based on the theory of customer engagement and reflects the development of mobile technology. Moreover, this research may be considered as pioneering in that it considers the key characteristics of a hospital’s service operations (i.e., service complexity) when discovering the link between customers’ engagement through a hospital’s social media and experiential quality.
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Maduri, Zulika, Jeperson Hutahaean, and Sri Rezki Maulina Azmi. "Penerapan Strategi Customer Relationship Management Pada Penjualan Kerajinan Tangan." JUTSI (Jurnal Teknologi dan Sistem Informasi) 1, no. 1 (February 8, 2021): 79–88. http://dx.doi.org/10.33330/jutsi.v1i1.1048.
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Abstract: This research aims to manage sales data of various handicraft products online and improve customer service at Fahraz Glass Store using Customer Relationship Management (CRM) method. The research method used in this research is qualitative method. The application is built using php programming language and Mysql database. The implementation of Customer Relationship Management method at Fahraz Glass Store makes it easy for customers to get the latest product information and make product purchase transactions quickly. In addition, with the facilities of comments, customers can do product testimonials, submit questions, criticisms and suggestions and get answers directly from the admin so as to improve service to customers. Keywords: Customer Relationship Management, Handicraft Products, Member Abstrak : Penelitian ini bertujuan untuk mengelola data penjualan berbagai macam produk kerajinan tangan secara online dan meningkatkan pelayanan terhadap pelanggan pada Toko Glass Fahraz menggunakan metode Customer Relationship Management (CRM). Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif. Aplikasi dibangun menggunakan bahasa pemrograman PHP dan database Mysql. Hasil implementasi penerapan metode Customer Relationship Management pada Toko Glass Fahraz memberikan kemudahan bagi pelanggan untuk mendapatkan informasi produk terbaru dan melakukan transaksi pembelian produk secara cepat. Selain itu dengan adanya fasilitas komentar maka pelanggan dapat melakukan testimoni produk, menyampaikan pertanyaan, kritik mupun saran dan memperoleh jawaban langsung dari admin sehingga dapat meningkatkan pelayanan terhadap pelanggan. Kata Kunci: Customer Relationship Management, Kerajinan Tangan, Pelanggan
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V. Krishnam Raju, K., and V. N. S. Manaswini. "Analyzing Call Data Through Live Calls Using Sphinx Tool." International Journal of Engineering & Technology 7, no. 3.31 (August 24, 2018): 93. http://dx.doi.org/10.14419/ijet.v7i3.31.18273.
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For Improving the Business growth, the Business people try to know the customer's intension about their products. One of the best methods of collecting customer's feedback is telephone or mobile survey where customer service representatives(CSR) can interact with customers through phone calls and also record to analyze the customer's call data. The main issue of call data analysis through recorded files is a large amount of storage is required to store the audio files. This results increased costs, maintaining the hardware and software systems and manage a database system. In this paper we can directly convert the live calls into text files using speech to text (STT) algorithm and analyze these text files using Hadoop and MapReduce Framework for improving their future purchasing behavior.
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Panjaitan, Cici Paramita, Iqbal Kamil Siregar, and Santoso Santoso. "Metode Customer Relationship Management untuk Stokis Luxor Cabang Kisaran Berbasis Web." J-Com (Journal of Computer) 1, no. 1 (March 26, 2021): 73–80. http://dx.doi.org/10.33330/j-com.v1i1.1091.
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Abstract : Customer relationship management is a facility to strengthen relationship between companies and customers. CRM also establishes sales programs to build and manage close ties with customers so as not to move to other competitors. This thesis presents an increase in web-based CRM in Stockist Luxor Kisaran. Luxor Stockist is a business entity engaged in marketing herbal products, the system used is still with a manual system. The results of the fundamental method on the web obtained are managing customer data, product improvement, product sales, and consumer consultation facilities to respond to questions and suggestions from customers. This application uses the PHP and MYSQL programming language for the media to make it easier for customers to interact with the company. This application is expected to help companies strengthen the good word with customers in retaining customers and to get new customers. Keyword :Customer Relationship Management, Marketing, Services, PHP language and MYSQL database Abstrak : Manajemen hubungan pada pelanggan ialah suatu fasilitas guna mempererat jalinan baik perusahaan dan pelanggan. CRM juga membentuk program penjualan guna membangun serta mengatur ikatan yang erat pada pelanggan agar tidak berpindah ke pesaing lain. Skripsi ini menyajikan peningkatan CRM berbasis web di Stokis Luxor Kisaran. Stokis Luxor merupakan badan usaha yang bergerak dalan pemasaran produk herbal, sistem yang digunakan masih dengan sistem manual. Hasil metode mendasar pada web yang didapat adalah mengatur data konsumen, peningkatan produk, penjualan produk, dan fasilitas konsultasi konsumen guna menanggapi pertanyaan maupun saran dari pelanggan. Aplikasi ini memakai bahasa program PHP dan MYSQL untuk media agar memudahkan pelanggan untuk berinteraksi dengan perusahaan.. Aplikasi ini diharap dapat membantu perusahaan dalam mempererat ikataan baik dengan pelanggan dalam mempertahankan pelanggan dan untuk mendapatkan pelanggan baru.Kata Kunci:Customer Relationship Management,Pemasaran ,Pelayanan, bahasa PHP dan database MYSQL
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Oktavia, Tanty. "Perancangan Model Basis Data Sistem Operasional Berbasiskan Customer Relationship Management." ComTech: Computer, Mathematics and Engineering Applications 4, no. 2 (December 1, 2013): 1179. http://dx.doi.org/10.21512/comtech.v4i2.2590.
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Data is a very important asset for a company since it describes the company’s running processes. Database as a part of the information system components provides a big influence in helping data integration in a company. Therefore, we need a system which can facilitate the availability of data to be processed and used as needed, This study takes a company engaged in the sale of bike and spare parts, namely PT TDI, as the object of the study. At this time, PT TDI uses an integrated system in helping the company's operations. Along with the vision and mission, PT TDI intends to build a new operating system by applying the concept of Customer Relationship Management (CRM) which is believed to assist the company in maintaining relationships with customers using web-based platform. It aims to facilitate interaction with customers so that it can be done anytime and anywhere. This study implements the database design life cycle adjusted to the component aspects of CRM. The result achieved is a model that combines database CRM systems that can help companies improve relationships with customers.
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Estrella-Ramón, Antonia. "Explaining customers’ financial service choice with loyalty and cross-buying behaviour." Journal of Services Marketing 31, no. 6 (September 11, 2017): 539–55. http://dx.doi.org/10.1108/jsm-05-2015-0189.
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Purpose This paper aims to examine the impact of the customer’s previous transaction behaviour (represented by loyalty and general cross-buying) on his/her choice of specific services offered by the same financial services provider. Design/methodology/approach This study uses a set of logistic regression models by incorporating panel data from a large bank. The database consists of 2,187 randomly selected customers, and it includes features related to individual loyalty and cross-buying behaviours, as well as demographic indicators, i.e. individual measures related to each customer and each service. Findings From the results obtained, a large variation in customer choice behaviour with regard to the studied banking services was observed. These results reveal which customer transactional behaviours drive cross-category financial services purchases. Originality/value In academic literature, little progress has been made in the study of individual and behavioural factors that affect customer choices by service category, especially within the banking sector. By understanding customer choices, the company will be able to meet customer needs in a more appropriate way, thereby increasing its competitiveness. Hence, the results from this study have both managerial and research implications, improving the strategy formulation of financial services companies.
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Carr, Mike. "Database Marketing: Talking Direct to Our Listening Customers." Marketing Intelligence & Planning 12, no. 6 (July 1994): 12–14. http://dx.doi.org/10.1108/02634509410064169.
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Alamsyah, Nur. "CUSTOMER RELATIONSHIP MANAGEMENT (CRM) UNTUK PRODUK APLIKASI HOTELMU BERBASIS WEBSITE." NUANSA INFORMATIKA 14, no. 1 (January 16, 2020): 56. http://dx.doi.org/10.25134/nuansa.v14i1.2472.
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This research aims to build information systems Customer Relationship Management for the Hotelmu Products in managing customers data, proposals data, contracts data and invoicing data. Information systems and Customer Relationship Management are also expected to facilitate the Hotelmu customers� application to convey complaints, suggestions and criticism. This information system will be designed and built with the Prototype process models and methods of object oriented development. To describe the results of analysis by Object Oriented approach to these compilers uses Unified Modeling Language (UML), among others, Use Case diagrams, Activity diagrams, Sequence Diagrams, and Class diagrams. Then it will be built with CodeIgniter programming language and MySQL as database. Information system Customer Relationship Management (CRM), is expected to ease the controlling all Hotelmu clients effectively and efficiently. So the recapitulation process of client data, making proposals, contracts, and invoices use a special application, and the data stored in the database safely and it can be searched at any time by efficiently.�Keywords : CRM, Hotelmu, Object Oriented, Prototype
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Wicaksono, Yanuar. "SEGMENTASI PELANGGAN BISNIS DENGAN MULTI KRITERIA MENGGUNAKAN K-MEANS." Indonesian Journal of Business Intelligence (IJUBI) 1, no. 2 (March 7, 2019): 45. http://dx.doi.org/10.21927/ijubi.v1i2.872.
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Customer knowledge is an important asset, in gathering, and managing from sharing customer knowledge into valuable capital for the company. This causes the company to continue to innovate in producing products and serving according to customer needs. To find out the needs of each customer, the company needs to make customer segmentation. Customer segmentation is defined as the division into different groups with similar characteristics to develop marketing strategies that are tailored to customer characteristics. The easiest, simplest, well-known and commonly used model of customer characteristics is the model of the recency, frequency, monetary (RFM) criteria. The RFM model still has weaknesses in low customer segmentation capacity and does not provide information on the continuity of customer transactions in understanding customer loyalty. The research method used is the Knowledge Discovery in Database (KDD) method. The data is transformed into another format that suits the needs of analysis and then the customer is segmented using clustering data mining techniques with the K-Means algorithm. From the experiments, the RFM model guesses loyal customers when reviews, frequency and monetary are high. In reality, the recency only provides information on the customer making the last transaction and the high number of transaction frequencies can be done without the customer's stability in making transactions each period. Implementing multi-criteria in customer segmentation can be better than just RFM criteria. So it will not be wrong to treat customers according to the groups that have been formed.
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Zhu, Chao, Gang Du, Yun Tao Gou, and Qian Li. "The Study on Wireless Location Based on SQlite Database and ZigBee Technology." Applied Mechanics and Materials 440 (October 2013): 293–98. http://dx.doi.org/10.4028/www.scientific.net/amm.440.293.
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Applying SQlite database and ZigBee technology to the development of the smart supermarket shopping guide system and by prompting customers the target area and locating the real-time position of them, this paper solves the problem that customers can't find target goods quickly in large supermarkets. When customers want to search target goods quickly, firstly the monitor terminal installed in a shopping cart queries SQlite database table to obtain the position of the target area and display it on the electronic map, then it locates the real-time position of customers by ZigBee wireless network and refreshes coordinates of customers constantly. According to the electronic map, customers can go to the target area quickly and find the target goods easier.
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Sharma, Savita, and Sidharth Srivastava. "Relationship between Service Quality and Customer Satisfaction in Hotel Industry." TRJ Tourism Research Journal 2, no. 1 (October 24, 2018): 42. http://dx.doi.org/10.30647/trj.v2i1.20.
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In the competitive hotel industry, individual hotels find ways to be unique to make their products and services shine amongst others. Hotels do not leave any stone unturned to deliver best of the services to magnetize the customers. Therefore, the purpose of this review paper is to study whether high level of quality service actually leads to satisfied customers and makes them loyal towards a particular hotel brand. Further, the study intends to explore whether SERVQUAL model is applicable for the hotels to satisfy their customers. Papers related to service quality and customer satisfaction were reviewed from the online database. This paper contributes to the existing literature to explore the relationship between service quality and customer satisfaction and suggests that SERVQUAL method can be applied to the hotel industry to measure the customer satisfaction on the basis of five factors known as assurance, empathy, reliability, and tangibility, which will further lead the hoteliers to improvise customer services
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Ms. Meenu Garg and Dr. Bhoomi Gupta, Tarun Garg. "Food Ordering Web Application for the Fitness freaks." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 18, 2020): 449–54. http://dx.doi.org/10.46501/ijmtst061286.
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The online food ordering system provides conveniencefor the customers. It overcomes the disadvantages of the traditional queuing system. This system increases the takeaway of foods than visitors. Therefore, this system enhances the speed and standardization of taking the order from the customer. It provides a better communication platform. the user’s details are noted electronically. The online food ordering system set up menu online and the customers easily places the order with a simple mouse click. also with a food menu online you can easily track the orders, maintain customer's database and improve your food delivery service. This system allows the user to select the desired food items from the displayed menu. The user orders the food items. The payment can be made online or pay-ondelivery system. The user’s details are maintainedconfidential because it maintains a separate account for each user. An id and password is provided for each user. Therefore it provides a more secured ordering.
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Haitami, Muhammad Whildan. "Design and Build a Digital Loyal Customer Card System for an RFID-Based Moshi-Moshi Ramen Restaurant." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 9, no. 2 (June 19, 2019): 51–56. http://dx.doi.org/10.33795/jartel.v9i2.210.
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Loyal customers at a restaurant definitely want a reward for their loyalty to the restaurant, Moshi-Moshi Ramen created the Loyal Customers program as an appreciation for loyal customers. The program is made using a paper card with 10 empty boxes which is stamped by the cashier when the customer pays for food. The current era of globalization allows all areas of life to be assisted by the presence of technology. One of the technologies developed in the culinary field is the design of a digital loyal customer card system based on Radio Frequency Identifier (RFID) which has been linked to the Firebase web database as a medium for storing data. It was found that there were deficiencies in the loyalty program, namely the card that was not safe to hold, especially if the card was lost, the customer could not claim the number of stamps So, to solve this problem, RFID and pin numbers are used as a safer system of loyal customer cards and the database for storing registered customer data to transform the existing loyalty customer program into a smarter system. Making a digital loyal customer card system using an RFID tag can be done using the Arduino Uno R3 microcontroller which has a reading sensitivity of up to a distance of 4.5 cm and an android application for ordering food. As well as all functions that can run well, including comparison of transaction times using manual and digital systems with a time difference of 10 seconds.
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Güçdemir, Hülya, and Hasan Selim. "Integrating multi-criteria decision making and clustering for business customer segmentation." Industrial Management & Data Systems 115, no. 6 (July 13, 2015): 1022–40. http://dx.doi.org/10.1108/imds-01-2015-0027.
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Purpose – The purpose of this paper is to develop a systematic approach for business customer segmentation. Design/methodology/approach – This study proposes an approach for business customer segmentation that integrates clustering and multi-criteria decision making (MCDM). First, proper segmentation variables are identified and then customers are grouped by using hierarchical and partitional clustering algorithms. The approach extended the recency-frequency-monetary (RFM) model by proposing five novel segmentation variables for business markets. To confirm the viability of the proposed approach, a real-world application is presented. Three agglomerative hierarchical clustering algorithms namely “Ward’s method,” “single linkage” and “complete linkage,” and a partitional clustering algorithm, “k-means,” are used in segmentation. In the implementation, fuzzy analytic hierarchy process is employed to determine the importance of the segments. Findings – Business customers of an international original equipment manufacturer (OEM) are segmented in the application. In this regard, 317 business customers of the OEM are segmented as “best,” “valuable,” “average,” “potential valuable” and “potential invaluable” according to the cluster ranks obtained in this study. The results of the application reveal that the proposed approach can effectively be used in practice for business customer segmentation. Research limitations/implications – The success of the proposed approach relies on the availability and quality of customers’ data. Therefore, design of an extensive customer database management system is the foundation for any successful customer relationship management (CRM) solution offered by the proposed approach. Such a database management system may entail a noteworthy level of investment. Practical implications – The results of the application reveal that the proposed approach can effectively be used in practice for business customer segmentation. By making customer segmentation decisions, the proposed approach can provides firms a basis for the development of effective loyalty programs and design of customized strategies for their customers. Social implications – The proposed segmentation approach may contribute firms to gaining sustainable competitive advantage in the market by increasing the effectiveness of CRM strategies. Originality/value – This study proposes an integrated approach for business customer segmentation. The proposed approach differentiates itself from its counterparts by combining MCDM and clustering in business customer segmentation. In addition, it extends the traditional RFM model by including five novel segmentation variables for business markets.
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Nur’Ahya Anisa, Yuliazmi Yuliazmi, and Grace Gata. "Application of E-CRM in Salon Business in Increasing Loyalty and Service to Customers." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 2 (April 19, 2020): 268–75. http://dx.doi.org/10.29207/resti.v4i2.863.
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D'Moze Salon is a company engaged in the sale of salon services established in 2009 with its first branch located in Tanjung Duren, West Jakarta. Some of the factors faced by D 'Moze Salon are handling verbally delivered complaints, a large number of customers visit make a long waiting list for treatment, and it is difficult to identify and retain loyal customers. Implementing CRM is one way for companies to be able to create good relationships with customers and mutual benefits. Along with the development of information technology requires companies to apply technology in business because business competition is increasingly high. By applying the Electonic Customer Relationship Management (E-CRM) model that provides a means of interface for customers that can help solve existing problems so that they can benefit both customers and the company. The interface provided is a web-based E-CRM system created with the PHP programming language and MySQL database. Using this E-CRM system D'Moze Salon is easier to manage the provision of services so the level of customer satisfaction increases also their loyalty. Thus, complaints will be reduced, testimonials from satisfied customers are increasing. This will capture potential new customers to choose D’Moze as the salon for treatment.
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Babar, Maissy P., and Mardhalia Saitakela. "IMPLEMENTASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PADA KLINIK VALERIE BEAUTY." JITU : Journal Informatic Technology And Communication 3, no. 1 (May 31, 2019): 58–63. http://dx.doi.org/10.36596/jitu.v3i1.74.
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Valerie Beauty Clinic is a beauty care services company. The problem that arises is that even though the customer is still recorded in the recipe book, Valerie Beauty Clinic still has difficulty in providing information, products, schedule changes, changes in schedule services, events, or the latest things to customers. This problem occurs because all customers remain systemically unregulated. Another problem that arises is that all beauty products have not been recorded in a computerized database, this is what causes difficulties in conducting product data searches. Furthermore, customers also cannot do clients or suggestions and also good dissatisfaction because of the unavailability of media. If this is allowed to continue, customers can just go to another salon. The purpose of creating a website at the Valerie Beauty Clinic is to provide satisfying services to customers through a CRM (Customer Relationship Management) strategy by looking at existing problems. The methodology that will be used is conducting interviews, observations and literatures. With the existence of a website-based system with the implementation of CRM, it can facilitate customers and clinics in providing information, products, changes in schedule services, events, or the latest things to customers, computerize all products and provide clients with complaints or suggestions online. Your data is stored in accordance with our privacy statement.
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Dhiman, Karan. "Online Food Ordering Management System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 25, 2021): 2096–107. http://dx.doi.org/10.22214/ijraset.2021.36835.
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The main purpose of the Online Food Ordering Management System is to use it in the food-service industry. This feature helps hotels and restaurants to increase their online food ordering systems. Customers can choose from a wide range of food menu items within just a few minutes. In today’s modern food business, it's also able to deliver fast and easily to a customer’s place. The work presented as Online Food Ordering Management System simplifies the ordering process. The proposed solution presents a user interface and changes the menu to include all available options, creating customer work easier. Allows customers to order any item that they like and adjust the quantity of the food item. The order confirmation is displayed to the customer on the Homepage of the website. The order is put to the queue, updated across both the database and the admin panel, and provided in real-time. This system aids the staff with checking over orders in real-time and executing them effectively and easily with few errors. Here, the customer can also reserve a table at a restaurant of his/her choice and will get the confirmation of their reserved table on the homepage of our website.
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Lehotay-Kéry, Péter, and Attila Kiss. "Process, Analyze and Visualize Telecommunication Network Configuration Data in Graph Database." Vietnam Journal of Computer Science 07, no. 01 (December 11, 2019): 65–76. http://dx.doi.org/10.1142/s2196888820500037.
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In network telemetry systems, nodes produce vast number of configuration files based on how they are configured. Steps were taken to process these files into databases to help the work of the developers, testers and customer support to focus on the development and testing and to be able to give advice to the customers about how to configure the nodes. However, the processing of these data in relational database manager system is slow, hard to query and the storage takes huge disk space. In this paper, we are presenting a way to store the data produced by these nodes in graph database, changing from relational database to NoSQL environment. With our approach, one can easily represent and visualize the network of machines. In the end, we are going to compare the inserting, querying time and storage size in different database manager systems. The results could also be used for other types of configuration data too from other kinds of machines to show the connection between them and query them easily.
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Jain, Arushi, and Vishal Bhatnagar. "Analysis of Grievances in the Banking Sector through Big Data." International Journal of Service Science, Management, Engineering, and Technology 7, no. 4 (October 2016): 21–36. http://dx.doi.org/10.4018/ijssmet.2016100102.
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Banking sector is one of the sectors which face the problem because of the huge amounts of data coming in at a rapid pace. In this paper the authors analyzed grievances in the banking sector through big data. The customers may have a wide variety of complaints and suggestions regarding the working style and other procedural methods which are followed by the banks for effective customer dealing and satisfaction. Quick rectification of complaints and working on customer suggestions can help banks gain a good name in the market, win customers' loyalties and attract new customers. To accomplish this gargantuan task, banks must maintain a complaints database which stores the information on customer complaints across the above mentioned categories along with the response to the complaints by the relevant employees which is collected over a period of time can reveal crucial and critical information for effective CRM in the organizations. In this paper, authors had analyzed the grievances to uncover the valuable suggestions of the customer to provide them a higher level of satisfaction
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G, MANIMANNAN, SANDHYA P, and NISHANTHI R. "Perceptual map for customer preferences of car brands using multi dimensional scaling." Journal of Management and Science 7, no. 1 (June 30, 2017): 142–49. http://dx.doi.org/10.26524/jms.2017.17.
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This research attempts to identify customer preferences among various car brands. The primary database was collected from Tambaram Municipality using simple random sampling method. The total samples 300 were collected from different customers, the questionnaire divided into two sections, they are (i) demographic details and customer preference like, price, performance, brand name, colors, etc. The main objectives of this research paper to identify which brand has attracted nore number of customers. The application of multidimensional scaling establishes the results of their scores on two dimensions and conclude tMaruti got the first position based on their price and performance, currently a good brand image, but brands like Hyundai and Ford posses second third positions respectively. Ford and Hyndai attract the customers on the basis of prizeperceptions. The perceptual map shows, brands like, Hyundai and Ford perceived to be similar, where as Maruti is a standalone brand.
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Salmon, Marcia. "ProQuest Coronavirus Research Database." Charleston Advisor 22, no. 2 (October 1, 2020): 43–47. http://dx.doi.org/10.5260/chara.22.2.43.
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Coronavirus Research Database is created and maintained by ProQuest. It is freely available to existing ProQuest customers and is an authoritative source of information on Coronavirus Disease pandemic (Covid-19) and past coronavirus epidemics such as Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). It has a robust search engine and a clean user interface. ProQuest Coronavirus Research Database has become a reputable and reliable research source for coronavirus research and the virus’s impact on public health.
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Tudenga, Heldi Diana, and Yohanis Malelak. "LAYANAN E-COMMERCE PENJUALAN PAKAIAN BERBASIS WEB DENGAN PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT." JITU : Journal Informatic Technology And Communication 2, no. 2 (May 31, 2018): 9–16. http://dx.doi.org/10.36596/jitu.v2i2.35.
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badi Collection Shop is a business entity engaged in the sale of clothing located on the roadRoundabout PU Tuak Daun Merah II. In conducting its business processes the Abadi Collection Shopstill uses the conventional mechanism, the customer must come directly to the outlet to see and searchfor products sold by Abadi Collection Shop. In order to support the business run by Abadi CollectionShop, the existence of customers is not only a source of company income but also as a long term assetthat needs to be managed and maintained through Customer Relationship Management. The purposeof this research is to design and build an Application Service E-commerce Web Based Clothing Salesby applying Customer Relationship Management at Abadi Collection Shop. Data collecting method bywriter is literature study, observation and interview, tool of analysis of system design in the form ofdocument flow, context diagram, data flow diagram, and proposed database of entity relationshipdiagram. While making the software in this thesis, the writer uses PHP and Adobe Dreamwaver CS6and MySQL database. The results of this study system designed to support order transactions as wellas a promotional event that can facilitate customers in communication and provide input for AbadiCollection Shop.
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Wang, Ming Jun, and Shu Xian Deng. "Research to E-Commerce Customers Losing Predict Based on Rough Set." Applied Mechanics and Materials 58-60 (June 2011): 164–70. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.164.
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The present paper based on rough set theory is to analyze the reason of an e-commerce customers losing. The e-commerce is virtual, customers purchase behavior is random, and there is the 20/80 theory. The focus to the e-commerce customers losing predict is to bring enterprise 80percent profits or frequent buying clients, they will be the study samples. Therefore, we must first find out these clients from numerous customers, analyze their purchasing behavior, and it is one of the important links loss prediction. This process may be realized by customer behavior data clustering. We have analyzed the data in one e-commerce database, and according to a certain algorithm has classified these customers, one kind is superior customers, one kind is general customers, the rest is temporary customers. And a lot of questionnaire survey have been done to these kinds of customers, and then combining e-commerce expert opinions formed the customers data analysis and decision table, then the algorithm, which is the decision table blindly delete attribute reduction algorithm, is adopted to process the attributes reduction to the decision table. Then, we get the reduction table of the customers’ data analysis and decision. According to the reduction table, we summarize e-commerce customers’ loss decision rule. Through these decision-making rules, we can predict these losing customers, and take timely measures necessary to retain.
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Feng, An Song, Jian Li, Qing Hui Wang, and Li Feng Wei. "The Design of Queue System in an Embedded Platform." Advanced Materials Research 433-440 (January 2012): 5641–46. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5641.
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The design of the Queue-Based ARM development uses embedded technology to develop Windows CE-based ARM core platform Queue System. The Queue system can queue up calling number, customer evaluation, queuing information storage, queuing information tips and other functions. Call queuing function support repeat calls, priority calls, queues and merging functions; Customer evaluation function to support customers on operational staff operating results of evaluation; queuing information storage functions will queue information and customer evaluation information stored in back-end database. This design comparing with the market Queue System has the advantage of using an embedded operating platform. The host computer system is small. A new type of ACD (Automatic Call distributing) call end systems that support customer evaluation system is used with using embedded database to store data files. Data storage is more flexible.
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Bitran, Gabriel, and Susana Mondschein. "Why individualized contact policies are critical in the mass affluent market." Academia Revista Latinoamericana de Administración 28, no. 2 (June 1, 2015): 251–72. http://dx.doi.org/10.1108/arla-03-2014-0037.
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Purpose The purpose of this paper is to study the optimal contact policies for customers that belong to the mass affluent market. Design/methodology/approach The authors formulate a stochastic dynamic programming model to determine the optimal frequency of contacts in order to maximize the expected return of the company. Findings The authors show that personalized marketing strategies provide a competitive advantage to companies that contact their customers directly through, for example, phone calls or meetings. The authors show that a threshold policy is only optimal for customers with increasing sensitivity to contact. In all other cases, optimal policies might have a less intuitive structure. The authors also study the importance of the size of the customer database and determine the optimal maximum recency when maintenance costs are present. Practical implications Contact policies should be tailored for each company/industry individually, due to their sensitivity to customers’ purchasing behavior.
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Sanjaya, Reni, Ujang Sumarwan, and Kirbrandoko. "Hubungan Customer Relationship Management dengan Loyalitas Nasabah (Studi Kasus: PT Bank XYZ Cabang Bogor)." MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah 10, no. 2 (October 29, 2015): 151–62. http://dx.doi.org/10.29244/mikm.10.2.151-162.
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Purpose of this study is to analyze the relationship between customer relationship management (CRM) which is measured through customer perception with the level of customer loyalty. The models used in this study are recency, frequency and monetary (RFM) that measures loyalty and CRM through people, process and technology. The analysis used is descriptive analysis, correspondence analysis, chi-square analysis and regression analysis. The data used are primary and secondary data. Primary data were collected with a structured interview based on the Likert scale. The population in this study is using purposive sampling, the customers of tabungan SiAga with nominal savings Rp25 million up to <175 million as many as 100 people are taken by the census method. The analyses of CRM the people variable with the indicators consist of enthusiasm, friendliness and ability; the process variables measured by indicators of profile identification, communication, souvenirs, and handling customer complaints and customized; the technology variable which indicators consist of customer database and communication media. While RFM analysis is measured by variables Recency, Frequency and Monetary. Based on segmentation RFM there are five segments; the segments are platinum segment, gold segment, silver segment, blue segment and black segment. The study states that the majority of tabungan SiAga XYZ costumers are in the silver segment (57 percent) with a high degree of recency; while the frequency and monetary aspects tends to be low, while for customers with a level of RFM that are high (platinum segment) about 12 percent. Meanwhile perception of the customers about CRM by Bank XYZ based on people, process and technology produce that the highest perception is in conformity of the customer database (technological aspects). However, customers have not been using the technological facilities and yet feel about the ease of transaction with technology. Based on regression analysis between CRM and loyalty, aspect of the business processes most affect the frequency and monetary, and then followed with the technological aspects that affect monetary. For people aspect does not affect the high or low value of RFM. The more loyal customer, the higher perception about the Bank XYZ is seen from the aspect of people, process and technology
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Arvio, Yozika, Iriansyah BM Sangadji, Hengki Sikumbang, and Meilinda Devi Anjarwati. "Pendekatan Implementasi Model Substractive Clustering Dalam Memetakan Dan Klasifikasi Data Perilaku Konsumen Listrik Tegangan Rendah Studi Kasus : Pelanggan PT PLN (Persero) UP3 Cengkareng." PETIR 12, no. 2 (September 25, 2019): 251–61. http://dx.doi.org/10.33322/petir.v12i2.553.
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Electrical energy is one of the most important and vital human needs that cannot be released from daily needs. Customers also have begun to be critical of the purchase costs that must be paid every month. So by increasing electricity rates, improving efficiency in the use of electric power is a major consideration. The Advanced Measurement Infrastructure System (AMI) provides information on the use of granular energy for needs and customers. The IT system at AMI one of which uses EMS (Energy Management System) is an application to collect data from every smart meter installed in the customer, to store it in a database, and to connect the analysis and statistics of the data stored below. In this study aims to provide an analysis of electricity usage patterns by implementing AMI / Smart meters PT. PLN (Persero) by conducting a cluster of 1 phase and 3 phase electricity usage in customers of PT PLN (Persero) UP3 Cengkareng, namely the distribution booths DK60, TG70 and DK242 for 4 months, from November 2018 to February 2019. From the results of the study sought for customers 1 phase DK 60 with a radius of 0.5 produces 1 cluster that is stable every month depending on the customer at this substation is a household class customer, TG 70 requires stable and spending usage in December 2018, and DK 242 fix stable and use customers in the month December 2018 and January 2019, while for 3-phase DK 60 customers tend to be unstable because the customers of this apartment are different, starting from shops, production sites, and CV. TG 70 substations are predominantly places of worship, namely mosques and mosques, so the average use of mosques is higher, and for DK 242 3-phase customers need to be stable and use the highest in January 2019.AMI, System, EMS, Distribution Substation, Phase.
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Lie, Fei, and Tjahjaning Tingastuti Suryosuseno. "Sistem Pendukung Keputusan Pemilihan Laptop Menggunakan Metode Topsis." CAHAYAtech 7, no. 2 (July 8, 2019): 119. http://dx.doi.org/10.47047/ct.v7i2.99.
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Competition in the banking sector requires every bank to compete to make types of credit products that are able to attract customers to want to transact with banks. Marketing with a product centric strategy needs to be combined with a customer centric to keep Customer Relationship Management in good order with customers. Customer identity can be used to realize the concept of a customer centric marketing strategy. This study describes the role of Data Mining on customer data accompanied by the application of Decision Tree techniques with the C4.5 algorithm to identify the most influential fields in predicting loan products.
The customer data fields used in this study include total balance, date of birth, occupation, and status. Selection of fields based on the terms and conditions that apply to each type of loan. The results of applying the C4.5 algorithm to customer data in the formation of loan product prediction decision trees show that the work attribute is the dominant attribute (highest Gain value) among the other attributes. Prediction results are validated with Confusion Matrix with an accuracy value for loan product prediction of 82%.
The results of this study concluded that the customer database is a source of data in the prediction process of loan products to be offered to customers, which can be used to support the marketing of bank loan products with a customer centric orientation.
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Amir, Sanusi, and Heri Abijono. "Penerapan Data Mining untuk Mendukung Pemasaran Produk Pinjaman Bank." CAHAYAtech 7, no. 2 (July 8, 2019): 161. http://dx.doi.org/10.47047/ct.v7i2.102.
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Competition in the banking sector requires every bank to compete to make types of credit products that are able to attract customers to want to transact with banks. Marketing with a product centric strategy needs to be combined with a customer centric to keep Customer Relationship Management in good order with customers. Customer identity can be used to realize the concept of a customer centric marketing strategy. This study describes the role of Data Mining on customer data accompanied by the application of Decision Tree techniques with the C4.5 algorithm to identify the most influential fields in predicting loan products.
The customer data fields used in this study include total balance, date of birth, occupation, and status. Selection of fields based on the terms and conditions that apply to each type of loan. The results of applying the C4.5 algorithm to customer data in the formation of loan product prediction decision trees show that the work attribute is the dominant attribute (highest Gain value) among the other attributes. Prediction results are validated with Confusion Matrix with an accuracy value for loan product prediction of 82%.
The results of this study concluded that the customer database is a source of data in the prediction process of loan products to be offered to customers, which can be used to support the marketing of bank loan products with a customer centric orientation.
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Dash, Mihir. "Web mining for e-commerce websites using repeat-purchase models." Journal of Management and Science 6, no. 1 (June 30, 2017): 6–10. http://dx.doi.org/10.26524/jms.2016.2.
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e-retailing and database marketing are two emerging industries that require strong support from the CRM system. It is important for a website to keep its customers interested and come back frequently to visit. As web data and direct marketing data are available in huge volumes, data mining is an important and popular tool for both industries to develop good CRM systems to target loyal customers. Since most of this data is primary purchasing data, one could even go one step further to develop models to describe and predict behaviour of customers.In this study two statistical models from the theory of repeat purchase behaviour were used to analyse customer loyalty. The models were able to predict the percentage of repeat-customers, and were able to identify marketing variables which affect the repeat-rate.
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Khusna, Arfiani Nur. "PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) BERBASIS SMS GATEWAY PADA ONLINE SHOP TOKOFARAH." Telematika 13, no. 1 (January 3, 2016): 40. http://dx.doi.org/10.31315/telematika.v13i1.1719.
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SMS applications has become a promising business opportunities in the consumer and industrial markets in the world. One part that can not be separated from the SMS business is the role of an SMS Gateway, a system used by service providers to send and receive SMS automatically. Online shop tokofarah an online web business venture engaged in the production and sales of baby clothes and children. The problems that exist in the online shop tokofarah is the absence of communication between the customer and tokofarah thus reduced customer loyalty, customers are unaware of the latest promos and discounts, so the application of CRM (Customer Relationship Management) is very necessary to help communication. Alternative solutions in addition to implementing CRM also develop and implement SMS technology as a service via SMS Gateway online. Where customers can easily find information on the latest promos and discounts, customers can simply type a certain key word and send it to a specific number that has been provided, the store can also inform customers about the latest promos and products through SMS brodcast. In this study, using Gammu as tools liaison between the device with a computer modem. Making the program using the programming language PHP as an interface, a database maker MySQL tools. The results of the implementation of the concept of SMS Gateway technology is that it can provide convenience for online customers shop tokofarah in knowing the promo and the latest product information and can order via SMS.
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Marchand, André, Michael Paul, Thorsten Hennig-Thurau, and Georg Puchner. "How Gifts Influence Relationships With Service Customers and Financial Outcomes for Firms." Journal of Service Research 20, no. 2 (December 14, 2016): 105–19. http://dx.doi.org/10.1177/1094670516682091.
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Service companies invest billions of dollars to develop and maintain long-term customer relationships by offering corporate gifts. Yet several questions remain regarding such relationship marketing instruments: What impact do different kinds of gifts have on customers? Which perceptions allow gifts to affect customer behavior? What financial outcomes do these gifts imply for firms? To answer these questions, the authors use data from 1,950 airline customers—combining a longitudinal field experiment with internal customer database information—and explore the effects of different gift designs on customer perceptions and actual spending behavior. The experiment manipulates four gift designs (economic related/unrelated; social related/unrelated) and measures customer perceptions and behavior at different points in time. Multivariate analyses of covariance (MANCOVAs) and spotlight analyses reveal that the congruent combinations of economic related and social unrelated gift dimensions have the strongest effects on customer perceptions of relationship investment. Serial mediation analyses further reveal that the impact of gifts on customer spending is fully mediated by customer perceptions of perceived relationship investment and repurchase intention. Economic related gifts produce the highest contribution margins. Service managers may use these findings to design effective gifts and management processes (e.g., gift success tracking).
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He, Lu, and Yan Mei Zhang. "Database Dynamic Programming Based on B/S." Applied Mechanics and Materials 310 (February 2013): 601–4. http://dx.doi.org/10.4028/www.scientific.net/amm.310.601.
Full textAbstract:
Short for Browser/Server, B/S is designed to centralize the core part of system functions on the server side, when users just need to install a browser on the client side, such as Internet Explorer, Firefox. Thus, the browser can be used for data exchange through the Web Server anywhere, as long as the computer accesses to the Internet. As a result, there is no doubt that the development of B/S structure system has become main-stream as the Internet has developed rapidly today [1]. As we all know, it is increasingly challenging that customers are having more and more requirements of details and depths, which demands more of a software developer. Now we are exploring a new method of programming by configuring database in order to improve the traditional three layer architecture (3-tier application). It would be quicker and more convenient for developers to modify functions according to the requirement changes from customers, largely reducing the workload either in development or maintenance.