ระบบจัดการข้อมูลการปล่อยก๊าซเรือนกระจกของสำนักทรัพยากรการเรียนรู้คุณหญิงหลง อรรถกระวีสุนทร ตามเกณฑ์มาตรฐานสำนักงานสีเขียว

Abstract

This study aims to present an information system design approach for data management and data visualization of Carbon Footprint at Khunying Long Learning Resources Center (KYL) according to Green Office Criteria 2021. The scope of the study includes information on electricity consumption, water consumption, fuel consumption, paper consumption, waste production, methane emission and carbon footprint equivalence. The design and development utilize an Agile SDLC Model for rapid development within the limited timeframe. The development is divided into two phases: Phase 1 - Development of data management: the researcher designed a web application for collecting, storing, and processing data within the specified scope and set restricted access for an authorized group of people to control the accuracy and reliability of the information within the system. Phase 2 - Development of data visualization: the researcher designed a logical algorithm for the system and a suitable display pattern for the specified data set on the web application to help users understand the information more easily without any complications, together with being able to fully answer the Green Office Assessment Criteria. The results showed that the system can perfectly display the result of Carbon Footprint Emission and Natural Resources Usage at KYL as defined in the Green Office Criteria that Carbon Footprint gets lower than the previous year for 44.9% and the resources has been decreased in all 6 targets. The system has also received an adequate result at average 4.8 on the satisfaction assessment survey from the Green Office Audit Committee and KYL executives’ team which can be interpreted as a very high level. In addition, the system can correctly function on most commonly used operating systems, including Windows, MacOS, Android, and iOS, which helps increase the ease of use for the KYL Green Library Committee and other stakeholders in order to access or use the data for further analysis.