Acceptance of Information on the Distribution of Smoke and Locations of Fire (HotSpot) Resulted from Remote Sensing Data

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI:10.1109/ICARES56907.2022.9993509

Budhi Riyanto, Chusnul Tri Judianto, I. G. Prihanto, P. Sofan, M. Priyatna, Hendy Gunawan, Wiji Prasetio, Adis Jayati

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Abstract

Forest/land fire is one of the causes of economic and health losses that have a massive impact. Forest/land fires can also disrupt relations between countries when the transboundary haze rises. Remote sensing data produces the fire hotspots (HotSpot) in daily observation. The HotSpot products are disseminated to users through a website or application with an android interface. This research examined the user responses in receiving HotSpot information using the approach Technology Acceptance Model (TAM) and Best Worst Method (BWM) in Indonesia. The results show that the factors influencing the acceptance of space-based smoke and HotSpot information are Attitude Toward System (ATT) and Facilitating Conditions (FC). In addition, the level of acceptance is at the level of being accepted by the user with a criterion weight index of 5.077 and a consistency value ratio (CR) of 0.024 < 0.4747.

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接受遥感数据产生的烟雾分布和火灾(热点)位置信息

森林/土地火灾是造成巨大影响的经济和健康损失的原因之一。当跨境雾霾上升时，森林/土地火灾也会破坏国与国之间的关系。在日常观测中，遥感数据产生火灾热点(HotSpot)。HotSpot产品通过带有android界面的网站或应用程序传播给用户。本研究在印度尼西亚使用技术接受模型(TAM)和最佳最差方法(BWM)方法检查了用户在接收热点信息时的反应。结果表明，影响天基烟雾和热点信息接受度的因素是系统态度(ATT)和便利条件(FC)。另外，验收水平处于用户可接受的水平，标准权重指数为5.077，一致性值比(CR)为0.024 < 0.4747。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)

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