cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Jumadi
Contact Email
jumadi@ums.ac.id
Phone
-
Journal Mail Official
jumadi_geo@ums.ac.id
Editorial Address
-
Location
Kota surakarta,
Jawa tengah
INDONESIA
Forum Geografi
Published by Universitas Muhammadiyah Surakarta
ISSN : 08520682     EISSN : 24603945     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Aim Forum Geografi is an open-access, peer-reviewed journal dedicated to advancing the field of geography by publishing original scientific articles on spatial issues. The journal prioritizes studies that employ rigorous spatial analysis and geospatial technologies—such as GIS and remote sensing—to deepen theoretical and empirical understanding of spatial patterns, processes, and interactions in both physical and human geography. Focus The primary focus of Forum Geografi is on studies that apply Geographic Information Systems (GIS) and/or remote sensing for spatial and regional analysis of physical and human geographic phenomena. Scope - Human and environment interaction - Geomorphology: process and modelling - River basin: process and modelling - GIS and/or Remote sensing-based disaster-related study - Urban, rural, and regional study
Arjuna Subject : -
Articles 1,281 Documents
 124   125   126   127   128 
Spatial Analysis on Tsunami Predictions in Pandeglang Regency Della Ayu Lestari; Novi Sofia Fitriasari; Taufiq Ejaz Ahmad; Amien Rais; Dhea Rahma Azhari
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 the potentiel to be hit by tsunamis. The plate subduction paths of Indo-Australia and Anak Krakatau Volcano make Pandeglang Regency a region with a high tsunami potential. One step that can be taken to overcome and minimize losses is to do spatial planning to protect it against potential tsunami damage. This research aimed to evaluate the spatial area of Pandeglang Regency based on the identification of potential tsunami hazards.  The concept of modelling the tsunami inundation height developed by Berryman and based on Head Regulation No.4 of 2012 of the Indonesian National Board for Disaster Management has been used to identify potential tsunami hazards. The modelling was carried out by calculating the potential distribution of tsunami wave heights in coastal areas.  Three scenarios were used to estimate the distribution. The results showed that the first scenario predicted a maximum tsunami height   of 7.5 meters above sea level with the furthest tsunami inundation reaching 1,700.12 meters. Second scenario predicted maximum height of 15 meters, with the furthest tsunami inundation reaching 3,384.62 meters. Meanwhile, the last scenario was able to predict a height of 20 meters and showed the furthest tsunami inundation reaching 5.155,11 meters. These results proved that in all scenarios, the widest inundation would occur in Panimbang Regency. This is due to the relatively small variations in roughness and slope of the surface. The same condition also occurs in the last two scenarios, in which Sumur District was the area most ffected. Therefore, the spatial plan of Pandeglang Regency needs to be evaluated and the function of residential area changed to reduce and prevent large losses.
Exploring Typology of Residents Staying in Disaster-Prone Areas: A Case Study in Tambak Lorok, Semarang, Indonesia Choirul Amin; S Sukamdi; R Rijanta
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5817

Abstract

Studies about population immobility, especially immobility associated with climate change-related disaster, are very limited. As a consequence, the explanation of population immobility in disaster prone areas is still blurred. This study contributes in explaining population immobility by exploring the typology of residents who did not move from disaster-prone areas. The survey was conducted towards the residents of Kampung Tambak Lorok Semarang, which is prone to three disasters simultaneously i.e. sea level rise, land subsidence, and tidal inundation. The study sample was 235 heads of households selected using proportional sampling area technique. Data were collected using a questionnaire consisting of two parts: (1) demographic, social, and economic characteristics of people who did not move from disaster prone areas; and (2) staying intention in disaster prone areas. Data analysis used descriptive analysis by using table and graph of respondent characteristic and relation between respondent characteristic and staying intention in research area. Three (3) typologies have been identified, namely: Type-1 are residents who wishes to stay; Type-2 are residents who still have not decided whether to stay or move; and Type-3 are residents who do not want to stay/want to move. Each of these typologies is described by place of birth, age, length of stay, education, occupation, and income. The understanding of the typology of residents living in disaster prone areas is important as inputs for policy-makers, especially regarding the relocation of people from disaster prone areas to be effective. The results of this study also contribute empirical evidence to the migration theory debate at the micro level, namely that the staying intention is a key element in the 'black box' of immobile decision-making from disaster prone areas.
Analysis of Local Spatial Data Infrastructure to Support Volcanic Mudflow Mitigation along Putih River, Magelang Regency, Central Java Province, Indonesia Afrinia Lisditya Permatasari; Ika Afianita Suherningtyas; Putu Perdana Kusuma Wiguna
Forum Geografi Vol 34, No 1 (2020): July 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i1.11169

Abstract

One of the most devastating disasters in Indonesia was the Mount Merapi eruption in 2010. After the eruption there still exists the secondary hazard of volcanic mudflow, which has caused damage and casualties. Volcanic mudflow is a mixture of pyroclastic material and rainwater, meaning that in the rainy season the area along rivers becomes a high volcanic mudflow hazard, including the area along Putih River in Magelang Regency, Central Java Province. The development of Spatial Data Infrastructure (SDI) plays an important role in disaster management, especially in disaster mitigation efforts. Building an SDI which shares information on spatial conditions in the area along the Putih River could save many lives and reduce the risk from volcanic mudflow. This research was conducted employing interview surveys, field surveys and secondary data collection at government institutions. The results of the analysis have provided a geoportal prototype as an information gateway for the mitigation of volcanic mudflow along the Putih River and the reduction of disaster risk both for the government and community.
Factors Affecting Adoption of Climate Change Adaptation Strategies by Small Holder Farmers in Mountain and Lowland Agro-ecological Zones of Eastern Uganda Remigio Turyahabwe; Loy Gumisiriza Turybanawe; Joyfred Asaba; Andrew Mulabbi; Mukisa Geofrey
Forum Geografi Vol 36, No 2 (2022): December 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i2.16231

Abstract

Farmers in tropical rural areas are confronted with several challenges but outstandingly climate change which can only be overcome by adopting to climate change resilience strategies. This study assessed the factors affecting adoption of climate change resilience strategies in Muyembe sub-county, Bulambuli district, Uganda. We used questionnaires, interviews, focused group discussions and field observations to collect the required data, which was analyzed using basic descriptive statistics and logistic regression model. Results indicate that, the dominant climate change resilience strategies adopted in the study were, soil/water conservation (65%), drought resistant crop varieties (59.4%), and irrigation (55.6). Results of the logistic regression indicated that, gender and family size were the most important factors that influenced adoption of climate change resilience strategies with coefficient -0.86 and P0.05, and0.18 and P0.05 respectively. On the other hand, the barriers to adoption of the same by majority farmers were dominated by financial constraints and adulteration of farm inputs at 93.4% and 74% respectively. We concluded that, many farmers are still locked in indigenous practices that have made them vulnerable to climate change effects characterized by low yields, crop failure hence low incomes, poverty and food insecurity. We recommended that, government should support the adaptation strategies to climate change by the smallholder farmers technically by providing both ground and surface water irrigation facilities and financially by providing agricultural loans as well as focusing on promoting awareness and advancing education on climate change to farmers through knowledge and skill sharing platforms such as training, conferences, and seminars.
Species Distribution of Styrax sumatrana in North Sumatra using Maxent Modelling Approach Muhammad Hadi Saputra; Saut Aritua Hasiholan Sagala; Han Soo Lee
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.9056

Abstract

Styrax sumatrana is the prestigious tree from North Sumatra. The resin which is a product from this tree has high demand and take a role as the primary income for farmer around the forest. However, the climate change along with the land conversion, threatens the species distribution . This paper aims to analyse the variable that contributes to Styrax sumatrana distribution and predict the potential distribution area of the species in North Sumatra Province . Several variables, such as elevation, slope, aspect, climate condition and land use land cover (LULC), were used to analyse the contribution for Styrax sumatrana distribution. The analysis uses the Maximum entropy model to examine the variable contribution for species distribution. The result shows that the mean temperature of the coldest quarter has a higher contribution for species distribution followed by elevation and LULC. The climate condition has a great impact by 28.5% than the other variable. The potential area that is suitable for Styrax sumatrana distribution was 8.91% or around 663,221.94 ha from a total of region.
Spatial and Seasonal Patterns of Flood Inundation in Lokoja, Kogi State, Nigeria Usman Umar Jimoh
Forum Geografi Vol 36, No 1 (2022): July 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i1.15968

Abstract

The study examines spatial patterns of flood inundation in Lokoja, Kogi state, Nigeria. Maximum Likelihood Classifier algorithm of the supervised land use/cover classification technique was utilized. The results obtained from the analysis were used to estimate the magnitude and visualize the seasonal and spatial pattern of flood inundation event. Eight Landsat Images comprising of two sets for each year (dry and wet seasons) were acquired from the portal of United States Geological Survey (2018). The Landsat images were classified into land cover classes such as Built Up, Vegetation and Water Body. After completing the land cover classification, the area of each class was determined and converted to square kilometers and percentages for both wet and dry seasons. Based on the classification, the brown colour depicts the built-up areas, blue for water body, and green for vegetation. Finally, accuracy assessment was carried out using historical Google Earth images, informed knowledge of the area, and GPS coordinates. ArcMap 10.5 was used to produce land use/cover maps for the study period. The result overall, revealed the effect of flood inundation to be more intense on vegetation. 1.62%, 4.60%, 23.05% and 6.43% of vegetated land was lost in 1999, 2009, 2012 and 2018, respectively.  Therefore, efforts to improve resilience against variable weather, flood inundation and seasonal uncertainties should be encouraged.
Tourist Attraction Popularity Mapping based on Geotagged Tweets Totok Wahyu Wibowo; Ahmad Faizan Bustomi; Anggito Venuary Sukamdi
Forum Geografi Vol 33, No 1 (2019): July 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i1.8021

Abstract

The development of tourist attractions is now highly influenced by social media. The speed at which information can be disseminated via the Internet has become an essential factor in enabling distinct tourist attractions to potentially gain high popularity in a relatively short time. This condition was not as prevalent several years ago when tourism promotion remained limited to a certain kind of media. As a consequence, rapid change in the relative popularity of tourist attractions is inevitable. Against this, knowledge of tourist attraction hotspots is essential in tourism management. This means there is a need to study how to both quickly determine the popularity level of tourist attractions and encompass a relatively large area. This article utilised tweet data from microblogging website Twitter as the basis from which to determine the popularity level of a tourist attraction. Data mining was conducted using Python and the Tweepy module. The tweet data were collected at the end of April and early May 2017, at times when there are several long holiday weekends. A Tweet Proximity Index (TPI) was used to calculate both the density and frequency of tweets based on a defined search radius. A Density Index (DI) was also used as a technique for determining the popularity. The results from both approaches were then compared to a random survey about people’s perceptions of tourist attractions in the study area. The result shows that geotagged tweet data can be used to determine the popularity of a tourist attraction, although it still only achieved a medium level of accuracy. The TPI approach used in this study produced an accuracy of 76.47%, while the DI achieved only 58.82%. This medium accuracy does indicate that the two approaches are not yet strong enough to be used for decision-making but should be more than adequate as an initial description. Further, it is necessary to improve the method of indexing and the exploration of other aspects of Twitter data.
Analysis of Groundwater Quality for Clean Water Supply in Pasaran Island, Bandar Lampung City, Indonesia Maryadi Budi Wiyono; Tjahyo Nugroho Adji
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.v35i1.12270

Abstract

Pasaran is the only productive small island functioning as the anchovy and green clam production center in Bandar Lampung. Its water use has, however, increased since its designation as an economically fishery-based development area or minapolitan in 2012. This is due to the fact that groundwater resources in small island ecosystems surrounded by seawaters with a narrow diameter are easily affected by the insistence of seawater. Moreover, population pressure and land-use change are also feared to be affecting groundwater quality. Therefore, this research was conducted to analyze and evaluate groundwater resource quality in Pasaran Island using five wells on the entire island as sampling points selected based on census. The samples were tested for physical, chemical, and biological parameters in the laboratory and compared with water quality standards (Minister of Health’s Regulation No. 32/2007). The results showed relatively low water quality because the samples contained up to 3900 μS/cm salinity, 3771.9 mg/l chlorides, 31.7–141.52 mg/l nitrates, and 6.8–170 MPN/100ml total coliform which exceed the standards for drinking water. Meanwhile, wells 1, 4, and 5 were found to be safe for sanitation-hygiene purposes and well 1 was suitable for public baths even though they are not of drinking quality. This means the groundwater quality generally met Class II-water requirements for clean water supplies.
Validation of Satellite Daily Rainfall Estimates Over Indonesia Fatkhuroyan Fatkhuroyan; Trinah Wati; Alfan Sukmana; Roni Kurniawan
Forum Geografi Vol 32, No 2 (2018): December 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i2.6288

Abstract

Rainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the daily rainfall data from GSMaP Moving Kalman Filter (MVK) to readings from 152 rain-gauge observation stations across Indonesia from March 2014 to December 2017. The results show that the correlation coefficient (CC) provides better validation in the rainy season while root mean square error (RMSE) is more accurate in the dry season. The highest proportion correct (PC) value is obtained for Bali-NTT, while the highest probability of detection (POD) and false alarm ratio (FAR) values are obtained for Kalimantan. GSMaP-MVK data is over-estimated compared to observations in Indonesia, with the mean accuracy for daily rainfall estimation being 85.47% in 2014, 85.74% in 2015, 82.73 in 2016, and 82.59% in 2017.
GIS-based Flood Susceptibility Mapping Using Overlay Method in Central Sulawesi Rheinhart Christian Hutauruk; Solih Alfiandy; Hermanto Asima Nainggolan; Mas Harya Fitra Yudo Raharjo
Forum Geografi Vol 34, No 2 (2020): December 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i2.10667

Abstract

Central Sulawesi is the largest province on the Sulawesi island with a dominant sloping topographic condition and has a variety of soil types, flow density, land use and rainfall that makes this region vulnerable to flooding. Flooding is a hydrometeorological disaster that will adversely affect aspects of human life such as social and economic activities in an area because it can cause environmental damage, casualties and disrupt economic activity. Because of its enormous impact, the purpose of this research study is to find out areas in the province of Central Sulawesi that are suscept to flooding. The method used in this research study is scoring the classification of flood hazard parameters such as slope level, elevation, soil type, rainfall, land use and flow density which are then overlay using ArcGis 10.2.2. The results obtained that the province of Central Sulawesi has three categories of areas suscept to flooding with a low category 6630.3 km2, moderate 46081.9 km2 and high category 7104.7 km2. Based on the results and discussion, it can be concluded that Central Sulawesi province has a dominant level of vulnerability which is moderate.

Page 126 of 129 | Total Record : 1281

 124   125   126   127   128 

Filter by Year

1990 2023


Reset
Filter By Issues
All Issue Vol 37, No 2 (2023): December 2023 Vol 37, No 1 (2023): July 2023 Vol 36, No 2 (2022): December 2022 Vol 36, No 1 (2022): July 2022 Vol 35, No 2 (2021): December 2021 Vol 35, No 1 (2021): July 2021 Vol 34, No 2 (2020): December 2020 Vol 34, No 1 (2020): July 2020 Vol 33, No 2 (2019): December 2019 Vol 33, No 1 (2019): July 2019 Vol 32, No 2 (2018): December 2018 Vol 32, No 2 (2018): December 2018 Vol 32, No 1 (2018): July 2018 Vol 32, No 1 (2018): July 2018 Vol 31, No 2 (2017): December 2017 Vol 31, No 2 (2017): December 2017 Vol 31, No 1 (2017): July 2017 Vol 31, No 1 (2017): July 2017 Vol 30, No 2 (2016): December 2016 Vol 30, No 2 (2016): December 2016 Vol 30, No 1 (2016): July 2016 Vol 30, No 1 (2016): July 2016 Vol 29, No 2 (2015): December 2015 Vol 29, No 2 (2015): December 2015 Vol 29, No 1 (2015): July 2015 Vol 29, No 1 (2015): July 2015 Vol 29, No 2 (2015): Forum Geografi Vol 29, No 1 (2015): Forum Geografi Vol 28, No 2 (2014): December 2014 Vol 28, No 2 (2014): December 2014 Vol 28, No 1 (2014): July 2014 Vol 28, No 1 (2014): July 2014 Vol 28, No 2 (2014) Vol 28, No 1 (2014) Vol 27, No 2 (2013): December 2013 Vol 27, No 2 (2013): December 2013 Vol 27, No 1 (2013): July 2013 Vol 27, No 1 (2013): July 2013 Vol 26, No 2 (2012): December 2012 Vol 26, No 2 (2012): December 2012 Vol 26, No 1 (2012): July 2012 Vol 26, No 1 (2012): July 2012 Vol 25, No 2 (2011): December 2011 Vol 25, No 2 (2011): December 2011 Vol 25, No 1 (2011): July 2011 Vol 25, No 1 (2011): July 2011 Vol 24, No 2 (2010): December 2010 Vol 24, No 2 (2010): December 2010 Vol 24, No 1 (2010): July 2010 Vol 24, No 1 (2010): July 2010 Vol 23, No 2 (2009): December 2009 Vol 23, No 2 (2009): December 2009 Vol 23, No 1 (2009): July 2009 Vol 23, No 1 (2009): July 2009 Vol 22, No 2 (2008): December 2008 Vol 22, No 2 (2008): December 2008 Vol 22, No 1 (2008): July 2008 Vol 22, No 1 (2008): July 2008 Vol 21, No 2 (2007): December 2007 Vol 21, No 2 (2007): December 2007 Vol 21, No 1 (2007): July 2007 Vol 21, No 1 (2007): July 2007 Vol 20, No 2 (2006): December 2006 Vol 20, No 2 (2006): December 2006 Vol 20, No 1 (2006): July 2006 Vol 20, No 1 (2006): July 2006 Vol 19, No 2 (2005): December 2005 Vol 19, No 2 (2005): December 2005 Vol 19, No 1 (2005): July 2005 Vol 19, No 1 (2005): July 2005 Vol 18, No 2 (2004) Vol 18, No 2 (2004) Vol 18, No 1 (2004) Vol 18, No 1 (2004) Vol 17, No 2 (2003) Vol 17, No 2 (2003) Vol 17, No 1 (2003) Vol 17, No 1 (2003) Vol 16, No 2 (2002) Vol 16, No 2 (2002) Vol 16, No 1 (2002) Vol 16, No 1 (2002) Vol 15, No 2 (2001): December 2001 Vol 15, No 2 (2001): December 2001 Vol 15, No 1 (2001): July 2001 Vol 15, No 1 (2001): July 2001 Vol 14, No 2 (2000) Vol 14, No 2 (2000) Vol 14, No 1 (2000) Vol 14, No 1 (2000) Vol 13, No 2 (1999) Vol 13, No 2 (1999) Vol 13, No 1 (1999) Vol 13, No 1 (1999) Vol 12, No 2 (1998) Vol 12, No 2 (1998) Vol 12, No 1 (1998) Vol 12, No 1 (1998) Vol 11, No 2 (1997) Vol 11, No 2 (1997) Vol 11, No 1 (1997) Vol 11, No 1 (1997) Vol 10, No 2 (1996) Vol 10, No 2 (1996) Vol 10, No 1 (1996) Vol 10, No 1 (1996) Vol 9, No 1 (1995) Vol 9, No 1 (1995) Vol 8, No 2 (1994): December 1994 Vol 8, No 2 (1994): December 1994 Vol 8, No 1 (1994): July 1994 Vol 8, No 1 (1994): July 1994 Vol 7, No 2 (1993): December 1993 Vol 7, No 2 (1993): December 1993 Vol 7, No 1 (1993): July 1993 Vol 7, No 1 (1993): July 1993 Vol 6, No 2 (1992): December 1992 Vol 6, No 2 (1992): December 1992 Vol 6, No 1 (1992): July 1992 Vol 6, No 1 (1992): July 1992 Vol 5, No 2 (1991): December 1991 Vol 5, No 2 (1991): December 1991 Vol 5, No 1 (1991): July 1991 Vol 5, No 1 (1991): July 1991 Vol 5, No 1 (1991) Vol 4, No 2 (1990): December 1990 Vol 4, No 2 (1990): December 1990 Vol 4, No 2 (1990) More Issue