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

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. © 2022 IEEE. View source

Author(s)

Riyanto B., Judianto C. T., Prihanto I. G., Sofan P., Priyatna M., Gunawan H., Prasetio W., Jayati A.,

Year

2022

Secondary Title

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2022 - Proceedings

Publisher

Institute of Electrical and Electronics Engineers Inc.

DOI

https://doi.org/10.1109/ICARES56907.2022.9993509

Keyword(s)

best worst method, Hotspot, remote sensing, technology acceptance model, Fires, Smoke, Space optics, BAD methods, Best bad method, Forestlands, Hotspots, Indonesia, OR applications, Remote sensing data, Remote-sensing, Technology acceptance model, Trans-boundary, Remote sensing

Classification

Form: Conference Paper
Geographical Area: Indonesia