PWAベースの廃棄物銀行情報システムの性能とカーボンフットプリント評価
Performance and Carbon Footprint Evaluation of a PWA-Based Waste Bank Information System (原題)
Muhammad Dzulfiqar, Adzanil Rachmadhi Putra, Rosyid Abdillah
🤖 gxceed AI 要約
日本語
本研究は、インドネシアの廃棄物銀行情報システム「Sibanksa」を対象に、PWAのキャッシュ機能がデータ転送量、エネルギー消費、二酸化炭素排出量を約8%削減することを実証した。一方で、ページサイズやWeb Vitals指標は推奨値を満たしておらず、Green ITの観点から改善余地を示した。
English
This study evaluates the environmental efficiency of a PWA-based waste bank information system in Indonesia, showing that service worker caching reduces data transfer, energy consumption, and carbon emissions by about 8%. However, page size and Web Vitals metrics remain suboptimal, highlighting areas for improvement in sustainable system design.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、デジタル化に伴うエネルギー消費とカーボンフットプリントの可視化が注目されており、本研究成果は情報システムの環境負荷評価の枠組みとして参考になる。特に、自治体や企業のシステム開発において、Green ITの実践に役立つ可能性がある。
In the global GX context
Globally, this study contributes to the emerging field of digital carbon footprint assessment, offering a practical framework for evaluating the environmental impact of web applications. It aligns with broader sustainability goals and can inform green software development practices.
👥 読者別の含意
🔬研究者:Provides a measurement framework for digital carbon footprint in web applications, useful for further research in green IT.
🏢実務担当者:Offers insights for developing energy-efficient PWA-based systems, potentially reducing operational costs and environmental impact.
📄 Abstract（原文）
The increasing volume of unmanaged waste in Indonesia has encouraged the adoption of digital waste bank management systems. However, the environmental impact of digital transformation, particularly regarding energy consumption and carbon emissions, remains insufficiently explored in community-scale information systems. This study evaluates the performance and environmental efficiency of Sibanksa, a Progressive Web Application (PWA)-based Waste Bank Information System, based on Green IT principles. A quantitative descriptive approach was applied by measuring four indicators: system performance, data transfer efficiency, estimated energy consumption, and digital carbon footprint under cached and non-cached loading scenarios. The results demonstrate that service worker caching significantly reduced data transfer size from an average of 4.84 MB to 20.9 kB, decreased estimated energy consumption from 0.0000594 kWh to 0.0000547 kWh, and reduced estimated carbon emissions from 0.044456 g CO₂ to 0.040886 g CO₂, representing approximately 8% improvements. Nevertheless, the overall page size remained relatively high (8.12 MB without caching and 7.46 MB with caching), while mobile rendering performance indicators, including First Contentful Paint (FCP) and Largest Contentful Paint (LCP), did not satisfy Web Vitals recommendations. This study contributes a practical measurement framework that integrates web performance analysis, energy efficiency assessment, and digital carbon footprint estimation for waste bank management systems. The findings provide empirical insights for developing more sustainable PWA-based information systems aligned with Green IT principles.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.63158/journalisi.v8i4.1821first seen 2026-09-07 04:42:40
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