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Arfita Rahmawati
Nusa Cendana University
Education Environmental Science Social Sciences

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THE ACCESSIBILITY ANALYSIS OF COVID-19 REFERRAL HOSPITALS TO THE LOCATION OF FUNDAMENTAL STUDENT Bella Theo Tomi Pamungkas; Arfita Rahmawati
GeoEco Vol 7, No 2 (2021): GeoEco July 2021
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v7i2.45326

Abstract

The Covid-19 pandemic that occurred in all parts of the world has had an impact on the various sectors. Not only in the economic sector but also in the educational sector. Until Month June Year 2020, the Indonesian government had carried out a new-normal policy. The purpose of the study was to analyze the affordability of the Covid-19 referral hospital to the position of students during the new-normal era. The affordability could be observed by the distance traveled by students to the nearest Covid-19 referral hospital.  This study used the OD matrix layer from ArcMap 10.3. The sample used in this study was 87 students with 11 Covid-19 referral hospitals in East Nusa Tenggara Province. Based on the research results in the form of maps produced, showed that from 87 students observed, only 59 or 67.82% could reach the Covid-19 referral hospitals.  Meanwhile, the other 28 students or 32.18% couldn’t be reached by the hospitals. The amount of students observed, located less than 15 km from the Covid-19 referral hospitals were 35 or 40.22% from the total of 87 students. The hospital which students refer to based on their location was the WZ. Yohanes hospital.
UTILIZATION OF LANDSAT 7 AND 8 IMAGES FOR MAPPING OF CHANGES IN THE NORTH COAST MANGROVE AREA, AESESA DISTRICT Maria Matilda Wea; Arfita Rahmawati; Muhammad Husain Hasan
GeoEco Vol 9, No 2 (2023): GeoEco July 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i2.72467

Abstract

In 2019 there was damage to the mangrove forest which was converted into fish ponds by cutting down 200 hectares of mangrove land in Aeramo Village, which is the northern coastal area of Aesesa District, Nagekeo Regency. This study aims to map changes in mangrove areas and determine mangrove density values.This study uses the NDVI (Normalized Difference Vegetation Index) analysis technique to determine the density of mangrove vegetation in 2011, 2016 and 2021 using Landsat 7 and Landsat 8 imagery and uses an overlay analysis technique from the results of classifying mangrove density classes to determine changes in the area of mangrove areas. The results of the study show that the mangrove area on the north coast of Aesesa District shows density values that vary with The range of vegetation density index in Landsat 7 imagery in 2011 is from -0.573770464 to 0.54666682, in 2016 it has a vegetation density index range from -0.291984737 to 0.609456897 and in 2021 it has a vegetation density index range from -0.067266561 to 0.579148531 which is divided into 5 density classes namely; very rare, rare, moderate, rare and very tight. Based on the classification results, the results of changes in the mangrove area decreased to the medium class with forest area from 102.35 hectares to 66.86 hectares from 2011 to 2016 and experienced the largest increase in the very dense class in 2011-2016 where the forest area was in the very dense class. meeting from 128.86 hectares to 210.65 hectares.
MAPPING OF LANDSLIDE-PRONE AREAS ON ENDE-WOLOWARU ROAD SECTION ENDE REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEM Maria Sonya Kae; Arfita Rahmawati; Bella Theo Tomi Pamungkas
GeoEco Vol 10, No 1 (2024): GeoEco January 2024
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v10i1.73223

Abstract

Landslides on the Ende - Wolowaru road, Ende Regency often occur every year, especially in the rainy season. Therefore, research was carried out to determine the level of vulnerability to landslides on the Ende - Wolowaru road section, Ende Regency, using an estimation model referring to Puslittanak research in 2004. Mapping of landslide-prone areas was carried out at a radius of 250 meters along the Ende - Wolowaru road section, Ende Regency with area 2,514 ha. The analysis used GIS analysis, such as: scoring and overlay methods based on 2004 Puslittanak Department of Agriculture estimation model. The parameters used are rainfall, rock type, slope, land cover and soil type. The results of the analysis in this study show that the level of vulnerability to landslides at the research location consists of a non-prone class covering an area of 13.38 ha, a vulnerable class covering an area of 1,620.38 ha and a very vulnerable class covering an area of 880.65 ha and (2) the level of validation mapping results that is equal to 88%.
Co-Authors Bella Theo Tomi Pamungkas Maria Matilda Wea Maria Sonya Kae Muhammad Husain Hasan