{"title":"A Design of Cloud-Based Billing and Monitoring System for an Electric Company","authors":"John Benedic R. Enriquez","doi":"10.25147/IJCSR.2017.001.1.21","DOIUrl":null,"url":null,"abstract":"Purpose – This descriptive study developed a cloud-based billing and monitoring system for an electric company named Quezelco1. The developed system was implemented in a web-based environment using a third party cloud infrastructure. After the development, the study gathered feedback from both end-users and technical experts to evaluate the proposed system in terms of content, functionality, reliability, maintainability, and features. Their comments and suggestions on the proposed system were also gathered. Method – Interviews with the head of Consumer Area Department (CAD) head, IT personnel and Area Manager who fully understand the transactions and processes in electric billing of the company revealed that there was a need for an electric billing and monitoring system. After the software was developed, a questionnaire was utilized to necessary information on developing a system, and surveys to gather comments and suggestions from the respondents. The developed software was evaluated by the endusers; while the administrator page was assessed by the technical experts. Results – All items of software criteria had at least acceptable ratings (Content: End-users, M = 4.42, Technical Expert, M = 4.42 = 4.32; Functionality: End-users, M = 4.42 = 4.47, Technical Expert, M = 4.42 = 4.49; Reliability: End-users, M = 4.42 = 4.40, Technical Expert, M = 4.42 = 4.42; Maintainability: End-users, M = 4.42 = 4.46, Technical Expert, M = 4.42 = 4.47; Features: End-users, M = 4.42 = 4.57, Technical Expert, M = 4.42 = 4.58). Test of difference between means revealed that there are no significant differences on the ratings of end-users and technical experts.","PeriodicalId":33870,"journal":{"name":"International Journal of Computing Sciences Research","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computing Sciences Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25147/IJCSR.2017.001.1.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose – This descriptive study developed a cloud-based billing and monitoring system for an electric company named Quezelco1. The developed system was implemented in a web-based environment using a third party cloud infrastructure. After the development, the study gathered feedback from both end-users and technical experts to evaluate the proposed system in terms of content, functionality, reliability, maintainability, and features. Their comments and suggestions on the proposed system were also gathered. Method – Interviews with the head of Consumer Area Department (CAD) head, IT personnel and Area Manager who fully understand the transactions and processes in electric billing of the company revealed that there was a need for an electric billing and monitoring system. After the software was developed, a questionnaire was utilized to necessary information on developing a system, and surveys to gather comments and suggestions from the respondents. The developed software was evaluated by the endusers; while the administrator page was assessed by the technical experts. Results – All items of software criteria had at least acceptable ratings (Content: End-users, M = 4.42, Technical Expert, M = 4.42 = 4.32; Functionality: End-users, M = 4.42 = 4.47, Technical Expert, M = 4.42 = 4.49; Reliability: End-users, M = 4.42 = 4.40, Technical Expert, M = 4.42 = 4.42; Maintainability: End-users, M = 4.42 = 4.46, Technical Expert, M = 4.42 = 4.47; Features: End-users, M = 4.42 = 4.57, Technical Expert, M = 4.42 = 4.58). Test of difference between means revealed that there are no significant differences on the ratings of end-users and technical experts.