| Issue |
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 12 | |
| Section | Environmental Developments & Sustainable Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202668701014 | |
| Published online | 15 January 2026 | |
Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models
1 Department of Informatics, Universitas Pignatelli Triputra, 57145 Indonesia
2 Department of Information System, Universitas Pignatelli Triputra, 57145 Indonesia
3 Department of Software Engineering, Universitas Pignatelli Triputra, 57145 Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The transition toward the WFA model marks a major change in organizational operations, supported by rapid digital innovation and the increasing need for flexible work arrangements. By utilizing cloud services, virtual collaboration platforms, and secure remote access systems to enable employees to perform their task efficiently regardless of geographic location. However, this model also brings new cybersecurity challenges. Threats such as social engineering attacks, the use of personal devices outside formal security controls, and exposure to unsecured public networks. Despite these risks, adopting remote working practices also contributes to environmental sustainability. Consequently, the adoption of flexible work models not only addresses productivity demands but also delivers tangible contributions to carbon-reduction initiatives. The reduction in carbon emissions derived from employee commuting distances can be further processed into a unique digital representation. Each unit of carbon savings is assigned a unique digital stamp, serving as a code for environmentally friendly work activities. This positive impact can be assessed with greater accuracy using technological tools, such as calculating the distance between home and the central office using the Google Maps API. Through this technological integration, the study proposes a geolocation-based WFA framework that ensures security and reliability within the digital work ecosystem.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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