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KAJIAN PARAMETER KEBERADAAN VEKTOR PENYAKIT DEMAM BERDARAH DENGUE (DBD) MENGGUNAKAN DUKUNGAN PENGINDERAAN JAUH (REMOTE SENSING) DI KOTA PONTIANAK Asmadi Asmadi; Akhmad Arif Amin; Sri Budiarti; Machmud Arifin Raimadoya
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 1 No. 1 (2011): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.1.1.16

Abstract

Dengue Hemorrhagic Fever (DHF) transmission dynamic is naturally influenced by fluctuating environmental conditions that could be locally specific even at the level of urban areas. Remote sensing technology is increasingly recognized as a powerful tool to scan DHF endemic areas and could be used to monitor DHF vectors fluctuation and the related biogeographical environment. A study was conducted to estimate the DHF transmission intensity in four endemic distric in Pontianak urban areas West Borneo. The estimation was based on environmental condition and the most of the data were obtained through remote sensing using the satellite IKONOS and NOAA. The study subjects were the environmental conditions of the urban areas considered as the risk factors for DHF transmission. Data were collected either through field observations and remote sensing. Data set was analyzed with the discriminant analysis module using the SPSS 17.0. The results of the study showed that there were predictor variables of the environment risk factors should be considered in the estimation of DHF transmission intensity in certain DHF endemic distric. Those variables included: (1) air temperature, (2) mosquito vector density, (3) relative humidity and (4)building density. Linear discriminant function was obtained to predict the incidence of DHF outbreak. Applying this model, DHF transmission intensity in certain distric could be estimated with a high accuracy. The result showed that the assessment model could be built following the formula:Y = 237,490 + 113,474 x (vector) – 121,828 x (temperature) – 98,999 x (relative humidity) + 78,782 x (building) that could be as high accuracy as 90,9 %. Keywords: Remote sensing technology, Dengue Hemorrhagic Fever (DHF), DHF transmission intensity, Mosquito vektor density, IKONOS, NOAA
Penilaian Kualitas Air Sungai Kapuas dan Risiko Kesehatan Masyarakat yang Terkait dengan Praktik Higiene dan Sanitasi Masyarakat Wahyudi, Reza; M. Fauzi, Anis; Budiarti, Sri; Pertiwi, Setyo; Sintawardhani, Neni
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 2 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.2.201

Abstract

The Kapuas River is the main source of water for the community in Sanggau Regency, West Kalimantan; however, increasing anthropogenic pressure has raised concerns about water quality and public health risks. This study integrated the Exceedance Ratio (ER), Pollution Index (PI), and Quantitative Microbiological Risk Assessment (QMRA) to evaluate surface water quality from 2021to 2023 at four monitoring locations. Based on Class I standards, parameters that did not meet standards included iron (Fe) (ER = 4.00; 82% exceeded the limit), COD (ER = 2.37; 91%), BOD (ER = 2.10; 81%), and fecal coliforms (ER = 2.50; 82%). The PI values ranged from 2.16 to 5.07, classifying the rivers as lightly to moderately polluted, with a significant increase in 2023 (mean PI = 3.75 ± 0.82; p = 0.015). Although the Class II standards were nearly met, the QMRA indicated that the annual infection risk exceeded the WHO threshold (10⁻⁴ per person per year) at all locations. The exceedance factor (EF) in 2021–2022 ranged from 2.9–4.5 (adults) and 7.7–12 (children), increasing sharply in 2023 to 120 (adults) and 310 (children) at the water quality monitoring sites. These findings reveal a critical gap between regulation and health, highlighting the urgent need to strengthen sanitation management and health-based monitoring to support sustainable river governance and achieve Sustainable Development Goal (SDG) 6.