Hubungan Sebaran Titik Panas (Hotspot) Terhadap Kesehatan Masyarakat Kota Pontianak

Rozi, Fachrur; Akbar, Aji Ali; Kadaria, Ulli

doi:10.26418/jtsft.v20i2.43531

Cited by 3 publications

(3 citation statements)

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“…Titik panas berdampak pada jumlah masyarakat yang terserang ISPA. Semakin tinggi jumlah titik panas semakin banyak pula masyarakat yang dilaporkan mengidap ISPA, dengan sebaran titik panas terbanyak di tahun 2019 berada di Kabupaten Ketapang [12]. Sementara itu, korelasi ISPA dan titik panas di Kubu Raya pada tahun 2015 adalah 0,57, yang berarti jumlah titik panas memiliki hubungan dengan kategori sedang menuju kuat terhadap jumlah pasien yang terdiagnosis ISPA [13].…”

Section: Pendahuluanunclassified

Study on the Relationship between Hotspots and Air Pollution Standard Index Based on Carbon Monoxide Concentration in West Kalimantan

Dillayati,

Wahyuni,

Adriat

et al. 2024

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Hotspots, indicating active fires and potential sources of air pollution, are a major concern due to their impact on air quality in West Kalimantan. In this study, an analysis was carried out regarding the relationship of hotspots to the Air Pollution Standard Index (ISPU) based on the carbon monoxide (CO) parameter. This study aimed to determine the relationship between forest fires and air pollution levels. The data used in this study is in the form of monthly average CO concentration data and coordinates of hotspots in 2017-2021. To determine the effect of CO concentration, CO concentration was converted into ISPU and then mapped using the Inverse Distance Weighting (IDW) interpolation method. In addition, the overlay technique is also applied to the map and the correlation coefficient calculation between ISPU data and hotspot data. The study results show that the annual average number of hotspots ranges from 769 to 3,612, while the average ISPU ranges from 22.21 to 59.03. The highest average number of hotspots occurred in 2019, with 3,612 hotspots and the highest average ISPU value of 59.03, categorized as moderate. However, when examined monthly, the highest average number of hotspots is observed in August and September, with 8,505 and 8,321 hotspots, respectively, and average ISPU values of 55.36 and 88.32, categorized as moderate. Furthermore, the correlation coefficient between the average number of hotspots and the average ISPU per month is 0.91, and per year is 0.98, indicating a very high relationship. Spatially, clustered hotspot locations correspond to higher ISPU values. This implies that as the number of hotspots increases, the ISPU value based on CO concentration increases.

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Section: Pendahuluanunclassified

Study on the Relationship between Hotspots and Air Pollution Standard Index Based on Carbon Monoxide Concentration in West Kalimantan

Dillayati,

Wahyuni,

Adriat

et al. 2024

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“…Titik panas merupakan salah satu sumber utama asap dan merupakan sumber pencemaran yang mengandung unsur-unsur yang berbahaya bagi kesehatan bila terhirup dalam konsentrasi tinggi [3]. Hotspot adalah suatu daerah yang suhu permukaannya relatif lebih tinggi dari daerah sekitarnya berdasarkan ambang batas suhu tertentu yang dipantau oleh satelit penginderaan jauh (bpbd.babelprov.go.di 2018).…”

Section: Pendahuluanunclassified

Kebakaran Hutan Implementasi Metode CLARA Clustering Untuk Pengelompokan Data Potensi Kebakaran Hutan/Lahan Berdasarkan Persebaran Titik Panas (Hotspot)

Lidrawati

Bahri

Zubaedi

et al. 2022

JoSYC

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Forest or land fires are events that often occur in various countries in the world that require serious handling from all parties because they have an impact on all lines of life. Therefore, early treatment is needed, one of which is by grouping fire-prone areas using hotspot data. Hotspots can be obtained by satellite in this study taking hotspots from NASA satellites. The data used are latitude, longitude, brightness and confidence. The method used is the Clara Clustering method because this method has the advantage of being resistant to outliers and can be used in large amounts of data. This study concludes that the Clara method can process 16,579 hotspot data with the best Shilhoutte Coefficient value of 0.89 with 2 clusters while the potential possessed by cluster 1 is included in high potential with an average brightness of 3670K and a confidence value of 1 or hight. Meanwhile, cluster 2 has moderate potential with an average brightness of 3490K and a confidence value of 3 or nominal.

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“…Fires increase every dry season and with land clearing (Kumalawati et al, 2023;Sastry, 2002;Stole, 2003) and forests burning (Kumalawati et al, 2020). The impact of forest and land fires is quite numerous and very detrimental because it can cause damage to the environment and ecosystem and affect social, economic, transportation, and health conditions (L. Tacconi, 2016;AJ Wulan et al, 2016;R.Ajin et al, 2016;Ikhwan, 2016;RP Nugraha et al, 2019;Rozi et al 2020;AA Fitriani et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)

Kumalawati,

Yuliarti,

Raharjo

et al. 2023

J. Presipitasi

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East Kalimantan Province is planned as the new national capital city (IKN). Forest and land fires occur regularly every year and their frequency is increasing, especially during the dry season. This research uses secondary data, namely hotspot data. Hotspot data was obtained from the results of the 2012-2022 S-NPP VIIRS image recording. Data analysis in this study used descriptive and statistical analysis. The results of processing and analysis of the distribution of hotspots are overlaid with administrative maps so that the distribution of hotspots in each district in the study area can be identified. The results of the study show that hotspots distribution from the 2012-2022 S-NPP VIIRS image recording in East Kalimantan Province is varies quite a bit in each district. The highest hotspots distribution is in Kutai Kartanegara Regency and the lowest is in Mahakam Ulu and Penajam Paser Utara Regency. The higher number of hotspots is the higher incidence for forest and land fires. The distribution of hotspots needs to be known because it can be a form of early detection and fire mitigation so that the negative impact of fires can be minimized.

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Hubungan Sebaran Titik Panas (Hotspot) Terhadap Kesehatan Masyarakat Kota Pontianak

Cited by 3 publications

References 0 publications

Study on the Relationship between Hotspots and Air Pollution Standard Index Based on Carbon Monoxide Concentration in West Kalimantan

Study on the Relationship between Hotspots and Air Pollution Standard Index Based on Carbon Monoxide Concentration in West Kalimantan

Kebakaran Hutan Implementasi Metode CLARA Clustering Untuk Pengelompokan Data Potensi Kebakaran Hutan/Lahan Berdasarkan Persebaran Titik Panas (Hotspot)

Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)

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