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All Journal Jurnal Geografi The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Mangapul Parlindungan
Unknown Affiliation
Earth & Planetary Sciences Education Environmental Science Social Sciences

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PEMETAAN KERENTANAN COVID-19 DI KABUPATEN KONAWE Septianto Aldiansyah; Mangapul Parlindungan; Rudi Parluhutan
JURNAL GEOGRAFI Vol 10 No 2 (2021)
Publisher : Jurusan Geografi Fakultas Ilmu Sosial Universitas Negeri Padang

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Abstract

Konawe Regency is one of the regencies in Southeast Sulawesi Province that has a high number of confirmed Covid-19 cases. The Covid-19 vulnerability mapping is carried out to facilitate decision making and formulate effective policies to minimize the spread and transmission of the disease. This study aims to examine the parameters that affect the spread and transmission of Covid-19 and the level of susceptibility to Covid-19. The method used is a Chi Square-based Geographic Information System (GIS). The parameters used include Population, Population Density, Elderly Age, Distance from Activity Centers, Distance from Road and Distance from Covid-19 Referral Hospital. The results showed that the population, old age and distance from the Covid-19 referral hospital had an effect on the spread and transmission of Covid-19 with a significance value of 0.000. The most vulnerable areas are in Wawotobi sub-district and Unaaha sub-district with an area of ​​127.68 km2 (5.38%). Areas with a medium level of vulnerability are 1606.57 km2 (67.74%) and low are 637.40 km2 (26.88%). There needs to be an increase in awareness of the use of masks, washing hands, maintaining distance and avoiding crowds because these activities can increase the chance of spreading and transmitting Covid-19.
TEA PLANT HEALTH RESEARCH USING SPECTROMETER Dwi Hastuti; Masita Dwi Mandini Manessa; Mangapul Parlindungan
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3831

Abstract

Tea leaves are the most important part for consumption. Leaves that are healthy have a distinct color, while leaves that are not healthy have a color that is very different from the original. Chlorophyll in leaves effects the reflection of infrared light, allowing healthy plants to reflect more infrared light than unhealthy plants. Leaf color and chlorophyll have an important role in showing the growth and health of tea plants. Remote sensing consists of collecting information about objects and features without contacting the equipment. The Normalized Difference Vegetation Index (NDVI), one of the first remote sensing analysis products used to simplify the complexity of multispectral imaging, is now the most commonly used index for botanical assessment. inconsistencies in NDVI depending on sensor-specific spatial and spectral resolutions. Different parts of the leaf have discolored spots due to health conditions or nutritional stress, so there are different spectral values on different parts of the leaf. Unhealthy tea leaves have low NIR values due to disease, insects, and sunburn, which damage the chloroplast structure of the leaves, weaken the absorption of the appropriate band, and increase reflectance. There is a difference between the measurement results of the NDVI spectrometer and the sentinel image. This is due to the fact that the Sentinel-2 image can only retrieve image pixels with a resolution and not diseased leaf parts, as with the use of a spectrometer, which directly extracts the value of the infected area from the normal part of the plant
Co-Authors DWI HASTUTI Masita Dwi Mandini Manessa Rudi Parluhutan Septianto Aldiansyah