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Forum Geografi
Published by Universitas Muhammadiyah Surakarta
ISSN : 08520682     EISSN : 24603945     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Forum Geografi, Indonesian Journal of Spatial and Regional Analysis (For. Geo) is an open access, peer-reviewed journal that will consider any original scientific article for expanding the field of geography. The journal publishes articles in both physical and human geography specialties of interest to spatial analysis and regional analysis in (but not limited) Indonesia by applying GIS and/or remote sensing techniques.
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Articles 12 Documents
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Search results for , issue "Vol 35, No 1 (2021): July 2021" : 12 Documents clear
Geographical Weighted Regression of Risk Factor of Stunting in Malang Regency, Indonesia Yudono, Adipandang; Purnomo, Joko; Damayanti, Ratnaningsih
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12273

Abstract

Stunting has become a global concern. The incidence of stunting globally contributes to 15% of under-five mortality, with 55 million children losing their health (Bhutta, 2013) and it is estimated to reduce the country's GDP level up to 7% (Galasso and Wagstaff, 2018). In Indonesia, the incidence of stunting has become one of the main health problems that needs to be solved immediately. Malang Regency is one of the districts in East Java Province that has received the spotlight regarding the problem of stunting. It is estimated by the Regent of Malang Regency that there were 30,323 toddlers from a total of 154,188 toddlers in Malang Regency who are stunted (Plenary Meeting of the Malang Regency DPRD, 2018). This stunting rate in 2018 generated confusion because based on data from the Malang Regency’ People Representative Assembly (DPRD), since 2017, Malang Regency has had no stunting problems as a result of the implementation of the Contraceptive for Women at Risk (CONTRA WAR) program and the Community-Based Integrated Epidemiological Surveillance program (SUTERA EMAS). This research was conducted to examine risk factors of stunting in Malang Regency through Geographical Weighted Regression (GWR). GWR was carried out to calculate the correlation between predetermined demographic variables (population density, education, early marriage), health variables (number of health facilities, number of health workers, access to health facilities, availability of clean water and sanitation, number of malnutrition) and economic variables (income, numbers of poor population, prosperous rice distribution) which are assumed to have an influence on the incidence of stunting.
Geographical influence on Tsunami Predictions in Pandeglang Regency, West Java, Indonesia Lestari, Della Ayu; Fitriasari, Novi Sofia; Ahmad, Taufiq Ejaz; Rais, Amien; Azhari, Dhea Rahma
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12367

Abstract

Pandeglang Regency is an area that has a large potential level of Tsunamis. This is based on the fact that Geographically Pandeglang Regency located near the Krakatau Anak Volcano and plate subduction path of Indo-Australia in the Sunda Strait cause Pandeglang Regency to become one of the regions that has a tsunami potential. Therefore, it is necessary to mitigate from an early age in order to overcome and prevent large losses. One of the steps that can be taken is to identify the potential coverage area of the inundation. The results of the calculations from these data are then entered into the Tsunami scenario modeling. Which in this case is divided into 3 scenarios, for Pandeglang Regency, the first scenario with a 100-year period the maximum tsunami height from the coastline is 7.5 meters. For the second scenario with a 2000-year period with a predicted maximum height of 15 meters and the last scenario with a period of 2500 years with a predicted height of 20 meters. The results show that in the Tsunami wave modeling 7.5 m of the widest inundation occurs in Panimbang District this is due to land cover consisting of ponds, rice fields, irrigation, plantations and gentle slopes. The conditions that occur in the well-sphere cause this area to become a flooded area with the highest area at the tsunami wave modeling of 15 m. Sumur Sub-district is also the area with the largest inundation at the 20 m tsunami wave modeling.
Spatial Analysis to Mitigate the Spread of Covid-19 Based on Regional Demographic Characteristics Ghazali, Mochamad Firman; Tridawati, Anggun; Sugandi, Mamad; Anesta, Aqilla Fitdhea; Wikantika, Ketut
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12325

Abstract

COVID-19 is currently the hot topic of conversation because of its ability to spread relatively quickly, in line with everyday human activities. It is unknown exactly the dominant environmental factors and their influence on the spread of COVID-19 in the last four months. Its distribution ability is no longer locally but has succeeded in making several countries stop its important activities globally. Non-spatial data such as positive confirmed population data, population-based on age, and Landsat 7 satellite imagery data were used to determine the spatial characteristics of the COVID-19 distribution until October September 2020. Inverse distance weighted (IDW), Moran's I and Local Indicator Spatial Association (LISA), as well as the ratio of the old population to the population, confirmed positive (+) were used as an approach to determine the characteristics of its distribution. Besides information on residential areas, surface temperature, and surface humidity based on supervised classification, land surface temperature (LST), and the normalized difference water index (NDWI) of Landsat 7 satellite imagery is used to enrich the spatial analysis carried out. The study results show a population concentration of COVID-19 towards the city of Bandung, with Moran's I result in not showing a good correlation. Meanwhile, the LISA results show that areas with a large or small number of elderly residents do not always have high positive COVID-19 numbers. The relation between the positive population (+) COVID-19 population and the built-up area (settlement), the surface temperature in the built-up area, surface humidity, and old age population based on the coefficient of determination (R2) is 0.03, 0.28, 0.25, and 0.019. This shows the level of vulnerability of the area is low. So, in the end, a recommendation for handling can be produced by taking into account the demographic characteristics of the area appropriately
Spatial Analysis to Mitigate the Spread of Covid-19 Based on Regional Demographic Characteristics Mochamad Firman Ghazali; Anggun Tridawati; Mamad Sugandi; Aqilla Fitdhea Anesta; Ketut Wikantika
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12325

Abstract

COVID-19 is currently the hot topic of discussion by scientists because of its ability to quickly spread, in line with everyday human activities. One of the environmental factors related to climatic parameters, such as the air temperature, contributed to the spreading of COVID-19 in the last four months. Its distribution ability is no longer local as it successfully halts the important activities in many countries globally. This study aims to explain the opportunity of geospatial analysis in handling the COVID-19 distribution locally based on the characteristics of demographic data. Various data, including the confirmed positive for COVID-19, age-based population, and Landsat 8 satellite imagery data were used to determine the spatial characteristics of the COVID-19 distribution per September 2020 in Bandung, Indonesia. An inverse distance weighted (IDW), Moran's I index and local indicator spatial association (LISA), and a proposed ratio of the elderly population against the population with confirmed positive for COVID-19 (CoVE) were used as the approach to determine its distribution characteristics. The information derived from Landsat 8 satellite imagery, such as the residential area, surface temperature, and humidity based on the supervised classification, land surface temperature (LST), and the normalized difference water index (NDWI) was used to perform the analysis.  The results showed that the positive population of COVID-19 was concentrated in Bandung city. However, with a Moran's I value of 0.316, not all are grouped into the same category. There are only 8, 2, 5, and 3 districts categorized as HH, HL, LL, and LH. However, the areas with a large or small number of elderlies do not always correlate with the high number of confirmed positives for COVID-19. There are only 3, 1, and 3 districts classified as HH, HL, and LL. They were represented by the values of Moran's I, for about 0.057. The positive relationship between confirmed positive for COVID-19 and the built-up area, surface temperature, humidity, and the elderly population based on the coefficient of determination (R2) were 0.03, 0.28, 0.25, and 0.019, respectively. The study also shows that the vulnerability of those areas is relatively low. The study shows that the vulnerabilities in these areas are relatively low and the recommendation for COVID-19 widespread mitigation has to consider the demographic characteristics precisely in the large scale social restrictions (LSSR).
Flickr Photos Analysis for Beach Tourism Management in Bantul Regency, Indonesia: Popularity and Tourist Attractions Arief Wicaksono; Nur Mohammad Farda; Nurul Khakhim; Totok Wahyu Wibowo
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.13007

Abstract

Photos shared by social media users act as an approach in identifying tourist activity. Popular tourist attractions are judged based on the large number of photos or high photo density. In Bantul Regency, Indonesia, beaches have diverse attractions which tourists can enjoy and immortalize through photos. Analyzing the contents of photos on Flickr provides information on the type(s) of beaches or coastal attractions preferred by tourists. This study examined the availability of geotagged Flickr photos to assist in making relevant beach tourism management policies. It employed pattern analysis with the average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction as the variable, and overlay analysis to formulate recommendations for beach tourism management based on the popularity level of the attractions. The results indicate that each of the local beaches offers different attractions with varying popularity levels and that natural beauty is the main feature attracting tourists to visit all beaches, except Baros. Based on the pattern analysis, the Flickr photos are clustered on several beaches of high popularity, such as Parangtritis, Baros, Depok, and Cemara Sewu. By using geotagged Flickr photo data and refers to the concept of tourism supply and demand, recommendations for developing the attractive features on these beaches have been compiled according to their respective themes and popularity levels to target specific tourist market segments and design integrated tour or travel packages.
Identification of Andesite Resource Potential In Kalirejo Area, Kokap Sub-District, Kulon Progo Using Resistivity Method Rizqi Prastowo; Hurien Helmi; Obrin Trianda; Rofiqul Umam
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.13507

Abstract

In the last five years, the need for materials to build infrastructure in Kulon Progo Regency has increased with the construction of an international airport. In the construction process, strong earth or rock materials are needed to make buildings resistant to earthquakes, one of which is andesite rock. This study aims to determine andesite rocks' resources using a three-dimensional model based on the value of resistivity in Kalirejo district Kokap Kulon Progo. The research was conducted by geological and geophysical survey. Based on data on the distribution of rocks in the research area included in the intermediate igneous rocks, andesite. These rocks are intrusions that develop in research areas. Petrography analysis is used to determine the types of minerals in andesite rocks and determine which levels of rock changes have changed or not to affect the strength of rocks. These rocks are intrusions that develop in research areas. Geophysical survey is by resistivity method using configuration dipole-dipole with five lines, and each stretch is 200 m. Based on three-dimensional model resistivity, fresh andesite is at a depth of between 5-10 m. Value of andesite resistivity is more than 668 Ωm, while the value of weathered andesite resistivity ranges from 256-536 Ωm and andesite resources about 332,580 tons.
The Adaptation Strategy of Flash Flood Victims in Urban Areas, Garut Kota Sub-District Ulfa Azhari Shabira; Sri Rum Giyarsih
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.13356

Abstract

In 2016, various settlements in Garut Regency, notably Garut Kota Sub-District, located along the Cimanuk River, were affected by a flash flood. As a result, many residents relocated to other places, far from the city. This research was conducted in three residential relocation areas: Gadok Housing, Kopi Lombang Housing and Cisereuh Housing. The purpose of the study is to determine the adaptation strategies of relocating communities. The research was conducted using mixed-methods techniques with descriptive quantitative and qualitative data analysis. The results are shown in the adaptation strategies of the affected communities and demonstrate that the relocated communities living in new settlements pursued adaptation strategies such as adjustment and adaptation with reaction. Adaptation by adjustment was carried out by accepting the post-relocation situation and taking up jobs in different sectors. Meanwhile, adaptation by reaction entailed making changes to the physical form of buildings, planting mixed gardens or constructing pet cages in the yard. Relocating residents often lacked the motivation to move to alternative shelters due to financial inability and a sense of comfort in their new settlement.
Do Disaster Literacy and Mitigation Policy Affect Residents Resettling in Tsunami Prone Areas? Study from the City of Banda Aceh, Indonesia Khairunnisa Khairunnisa; Yusya Abubakar; Didik Sugianto
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.11510

Abstract

It has been a decade and a half since the tsunami struck Aceh in 2004. Half of the city of Banda Aceh was destroyed. However, this tsunami-prone area has regained population density with households and communities growing despite the efforts of the local government to socialize disaster literacy and mitigation policy. Have these policies affected people in their decision to resettle in this disaster-prone area?  This is the issue considered in this study. It aims to examine and analyse the impact of disaster literacy and mitigation policies on residents’ decision to occupy a post-disaster area in Banda Aceh. This study employs a quantitative approach. It utilises random sampling. A set of questionnaires were distributed among 225 samples (households) across 5 sub-districts in the tsunami red-zone area. These questionnaires have been analysed using SPSS, employing a multiple linear regression technique. The outcome indicated that disaster literacy had a significant positive affect (p value=0.000, β=0.410), while the mitigation policies were not statistically significant for residents’ decisions to resettle in disaster-prone areas.  As the tsunami area remains vulnerable, a resulting policy recommendation is for the local government to be more active in disseminating its mitigation policies, and in helping residents to develop a fuller understanding of them (including implications of the disaster risk index and the disaster risk map). This would help achieve and put into practice the objectives of the mitigation policies.
Geographical Weighted Regression of Risk Factor of Stunting in Malang Regency, Indonesia Adipandang Yudono; Joko Purnomo; Ratnaningsih Damayanti
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12273

Abstract

Stunting has become a global concern. The incidence of stunting in the world contributes to 15% of under-five mortality, with 55 million children losing their health, and it is estimated to reduce the country's GDP level by up to 7%. In Indonesia, the incidence of stunting has become one of the main health problems that need to be solved immediately. Malang Regency is one of the districts in East Java Province that has received the spotlight regarding this problem. This research examined the risk factors of stunting in Malang Regency through Geographically Weighted Regression (GWR). GWR was carried out to calculate the correlation between predetermined demographic, health, and economic variables, which were assumed to influence risk factors of stunting. GWR allocation and model examinations are important in understanding risk factors of stunting in the study of disease transmission in the investigation zone. Based on GWR analysis, the research shows that only four (4) sub-variables were significant: the number of poor people, level of education, number of health facilities, and access to health facilities. We also found that Lawang, Gondanglegi, and Turen districts have high-risk areas to stunting. Therefore, within this study that correlates to government policy to decrease or eliminate stunting incidents, districts belonging to the high-risk class should be prioritized or concerned. Moreover, based on LISA, some districts are affected by the risk factors of stunting from the surrounding districts with higher stunting potential value such as Gondanglegi and Pagelaran Districts.
Fishing Ground Mapping Model in The Semi-Enclosed Saleh Bay, West Nusa Tenggara Anang Dwi Purwanto; Ulung Jantama Wisha; Erick Karno Hutomo
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.11782

Abstract

Saleh Bay is a semi-enclosed area of water in Nusa Tenggara Barat Province that is enriched by fisheries resources. The bay’s strategic position, surrounded by several small islands, makes it an area of fertile water. An area of water is considered a potentially ideal fishing ground if it contains several oceanographic phenomena, including thermal fronts and upwelling. Fishing activities in Saleh Bay have been found to be ineffective and inefficient due to local people’s continued use of traditional methods such as fishing by signs of nature (instincts), wind direction, astrological signs and previous experience. This study aimed to create a mapping model of the fishing grounds in Saleh Bay based on remote sensing satellite data. Spatial analysis of daily level 3 images from the Suomi-National Polar-Orbiting Partnership (SNPP) was conducted throughout January and August 2019. The image acquisition period was adapted based on the seasonal system of Indonesia. The study area was determined based on thermal front events as identified by sea surface temperature (SST) data analysed using statistical regression with a Non-Linear Multi-Channel SST (NLSST) approach. An ideal fishing ground is characterised by several oceanographic settings such as upwelling and thermal front occurrence. The average SST distribution in January 2019 was relatively high, ranging from 30.39 to 33.70 oC, while in August 2019, the temperature declined significantly, ranging from 25.09 to 29.30 oC. Concerning the fishing ground model, a plethora of potential fishing ground areas were identified in August compared to January 2019, at 144 and 42 points respectively. This reflected the density of the fishing grounds observed. The fishing grounds were most likely to be concentrated in the bay mouth during the southwest monsoon and within the bay near the plateau during the northeast monsoon. The seasonal variability of Saleh Bay played a significant role in the spatial extraction of the fishing ground data.

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