Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)

Analysis of Community Comfort in the Semarang Area Based on Temperature Distribution Values Using the Temperature Humidity Index

Authors
Dicky Heru Saputra1, Hamim Zaky Hadibasyir1, *, Danardono1, Mohd Hairy Ibrahim2
1Faculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, 57162, Central Java, Indonesia
2Department of Geography and Environment, Faculty Human Sciences, Sultan Idris Education University, 35900 Tg. Malim, Perak, Malaysia
*Corresponding author. Email: hamim.zaky.h@ums.ac.id
Corresponding Author
Hamim Zaky Hadibasyir
Available Online 26 June 2023.
DOI
10.2991/978-2-38476-066-4_9How to use a DOI?
Keywords
Community Comfort; Temperature Humidity Index; Semarang Area
Abstract

The Semarang Area is the center of socio-economic activity, and manifold people come to improve their living standards. The increasing population growth in Semarang Area due to the rate of urbanization initiates the conversion of vegetation land into built-up land, which has implications for decreasing comfort. This study aimed to analyze community comfort based on the distribution of temperature and the Temperature Humidity Index (THI) in 1999, 2009, and 2019, analyze trends in community comfort based on the level of THI area and analyze the regression and correlation between temperature values and THI. Data processing applied Landsat 5 TM satellite imagery (1999, 2009) and Landsat 8 OLI satellite imagery (2019), google earth engine was utilized to obtain a temperature value. The quantitative data analysis method employed stratified random sampling. The data processing results obtained the highest temperature distribution (>31 °C) in the activity center area, while the temperature < 24 °C–29 °C in vegetated areas in Semarang Regency. Semarang City is recognized for its extremely high THI value (<27 ℃ (uncomfortable category)). In 1999, the area of THI of class 3 was 20219.8 ha, it increased to 28616.3 ha in 2009, and the largest area was in 2019 with 65481.7 ha. The THI value represents a high value, meaning that the area has a low comfort level, causing less comfortable for people to live in and vice-versa. The simple linear regression correlation test presented that the significant data were normally distributed and the graphs were positively related.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
26 June 2023
ISBN
978-2-38476-066-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-066-4_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dicky Heru Saputra
AU  - Hamim Zaky Hadibasyir
AU  - Danardono
AU  - Mohd Hairy Ibrahim
PY  - 2023
DA  - 2023/06/26
TI  - Analysis of Community Comfort in the Semarang Area Based on Temperature Distribution Values Using the Temperature Humidity Index
BT  - Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
PB  - Atlantis Press
SP  - 134
EP  - 151
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-066-4_9
DO  - 10.2991/978-2-38476-066-4_9
ID  - Saputra2023
ER  -