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All Journal Journal of Computation Physics and Earth Science
Syarqiyah, Syahrajad Al
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Dampak Urban Heat Island terhadap Perubahan Pola Cuaca di Sidoarjo dan Malang: Analisis Data Harian BMKG Abdullah, Assajdah; Albukhori, Muhammad Zaki; Dewi, Krisna; Hutagalung, Wyra Steven; Ilmany, Muhammad Yazid; Syarqiyah, Syahrajad Al; Mokoginta, Zulfitrah
Journal of Computation Physics and Earth Science (JoCPES) Vol 5 No 1 (2025): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v5i1.13

Abstract

The Urban Heat Island (UHI) phenomenon is an increase in surface temperature in urban areas compared to the surrounding, more rural areas. This phenomenon can affect shifts in weather patterns, including an increase in average temperature, changes in rainfall patterns, and an increase in extreme weather events. This study aims to analyse the impact of UHI on shifting weather patterns in Indonesia using BMKG daily climate data. The method used includes a quantitative approach withtime series analysis to understand the trend of changes in air temperature and rainfall in Sidoarjo and Malang. The results showed a correlation between UHI intensity and changes in weather patterns,where areas with high UHI intensity experienced a significant increase in temperature and changes in rainfall patterns. This research is expected to provide insights for more sustainable urban planning in the face of UHI impacts in Indonesia.
Inovasi Teknologi Sensor Biaya Rendah dalam Pemantauan Kualitas Udara: Tinjauan Literatur Sistematis tentang Peluang Efisiensi Anggaran Publik Salsabila, Thalia; Mokoginta, Diah Putri Aravena; Bonde, George Jonathan Imanuel; Nubala, Ahmad Aqila; Pambela, Galung Wisnu; Mokoginta, Zulfitrah; Syarqiyah, Syahrajad Al
Journal of Computation Physics and Earth Science (JoCPES) Vol 5 No 1 (2025): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v5i1.14

Abstract

Air quality monitoring is critical in supporting environmental and public health policies, but conventional station-based methods still have limitations in cost and area coverage. Alternatively, low-cost sensor technologies based on the Internet of Things (IoT) and Artificial Intelligence (AI) offer solutions that are more economical, flexible, and capable of real-time monitoring. However, low-cost sensors face the challenge of lower accuracy compared to conventional sensors and require regular calibration for reliable measurement results. This paper analyzes the development of low-cost sensor technology, its effectiveness compared to conventional technology, and its impact on public budget efficiency. The results show that the integration of AI and IoT can improve the accuracy of low-cost sensors, while the citizen science model has the potential to expand monitoring coverage by involving the public in data collection. With the right strategy, low-cost sensors can be an inclusive and sustainable solution to support more cost-effective and data-driven environmental policies. 
Co-Authors Abdullah, Assajdah Albukhori, Muhammad Zaki Bonde, George Jonathan Imanuel Hutagalung, Wyra Steven Ilmany, Muhammad Yazid Krisna Dewi, Krisna Mokoginta, Diah Putri Aravena Mokoginta, Zulfitrah Nubala, Ahmad Aqila Pambela, Galung Wisnu Salsabila, Thalia