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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
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Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia Heinrich Rakuasa; Yamres Pakniany
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.v36i2.19978

Abstract

The phenomenon of urban growth has become an important issue that affects the land use system and land cover in a region for several reasons, such as population growth and the economy. This phenomenon has also become one of the main environmental issues lately because it has devastated urban ecosystems. Ternate Tengah District has the highest population growth rate in Ternate City and has experienced extensive urban development due to several reasons, such as the pace of urbanization, economic growth, and population. Urbanization accelerates the demand to land for living. As a result, there will be gaps or disparities between land needs and available land, a decline in environmental carrying capacity, and potential environmental harm in the future. Spatial modeling of future land covers is needed to provide data on policy-making. GIS and remote sensing methods have been widely introduced, but the most effective one is CA-Markov. This model has been used in various areas worldwide, but its application to predicting land use change in the populous city of a small island under threat of volcanic hazards like Ternate is limited. This study aims to evaluate and forecast the land-use changes brought on by urbanization in Ternate City's Central Ternate District. We used a cellular automata-Markov chain to examine and forecast land cover changes in 2002, 2012, 2022, and 2032. The findings indicate that residential area development will increase along with population expansion and land demand. The results of this study can support the policy-making related to the future arrangement and utilization of space in The Central Ternate District.
Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China Hamim Zaky Hadibasyir; Seftiawan Samsu Rijal; Dewi Ratna Sari
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.v34i1.10862

Abstract

Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.
Sustainability Level of Heritage Cities in Malaysia Yazid Saleh; Hanifah Mahat; Mohmadisa Hashim; Nasir Nayan; Samsudin Suhaily; Mohamad Khairul Anuar Ghazali
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.v36i1.15287

Abstract

This article aims to measure the level of sustainability of heritage cities in Malaysia. A thousand residents of ten selected heritage cities throughout Malaysia were selected as the respondents based on the cluster sampling and simple random methods to complete the questionnaire. A Likert scale on questionnaires 1 to 5 was used to elicit feedback. Five sustainability constructs were used: economic, social, environmental, cultural heritage, and government/community role. The results showed that the items in each study construct achieved an acceptable reliability level, with a Cronbach Alpha value greater than 0.70, and also met the normality test requirements. Descriptive analyses of the frequencies, percentages, and average mean values were used to establish each construct's level of sustainability. The results of the study show that the cities that attracted high scores were Georgetown (3.94), Taiping (4.00), Melaka City (3.76), and Muar (3.71). Meanwhile, the cities that attracted moderate scores were Kuala Kubu Bharu (3.36), Jugra (3.23), Tampin (3.37), Kuala Lipis (3.28), Kota Bharu (3.65) and Kuching (3.51). The implications of this study can be used to indicate the actual situation of the level of sustainability of heritage cities and be a reference to carry out the process of improvement towards a more sustainable city by 2030.
Thematic Geovisualization of the Data Profile of Kaligesing, Purworejo, Central Java Sudaryatno Sudaryatno; Shafiera Rosa El-Yasha; Zulfa Nur'aini 'Afifah
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.v33i2.8876

Abstract

The scientific field has a variety of purposes, one of which is the presentation of data and information which can be used by other parties to support their decision making. Moreover, the information is presented spatially. This research aims to map the data profile of Kaligesing district to establish the region’s potential through thematic geovisualization of its data profile, such as slopes, land use, livelihoods and population. The primary data were obtained from visual interpretation of remote sensing images to extract land use information, and DEM processing to extract slope information. Secondary data were provided by the Kaligesing district government. In order to build tiered spatial modelling, each thematic map was classified and weighted according to its contribution to the potential of the region. Based on this modelling, each village was given a compilation of weights, which were used as a basis for regional potential analysis. From the results of the thematic mapping, Kaligesing has three villages that have the potential for development in the agricultural, trade and service sectors, supported by the potential of human resources, and the abundant non-residential land available.
Assessment of Watershed Carrying Capacity and Land Use Change on Flood Vulnerability Areas in Semarang City Dewi Liesnoor Setyowati; Satria Adji Wilaksono; Ananto Aji; Muhammad Amin
Forum Geografi Vol 35, No 2 (2021): December 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i2.15542

Abstract

Human behavior can cause watershed problems, in which the use and carrying capacity of the watershed do not correspond. The objectives of this research are to determine the land use conditions and carrying capacity of the watersheds, and to analyze this capacity based on changes in land use and flood vulnerability areas. The research was conducted in five watersheds flowing are in flood-prone areas of Semarang City, namely Babon, Banjir Kanal Timur, Garang, Silandak, and Beringin, with a research area of 48,994.62 Ha. A quantitative analysis approach was used to calculate the land-use change and watershed carrying capacity; the capacity variables included land conditions, water quality, population, water building, and watershed space utilization. The results show that 1) an average of 12.27% of land in each watershed unit has been converted into settlements, with the most extensive conversion being in the Banjir Kanal Timur watershed; 2) the carrying capacity of this watershed got 113 scores, which fell into the poor category; and 3) at the watershed level, the surge in land conversion into settlements correlates with the carrying capacity of the watershed. Conversion of land into settlements is one of the determinants of the carrying capacity of the watershed. If the land use arrangement in the watershed is made with consideration of flood-vulnerability areas, this will be able to reduce watershed damage and reduce the frequency of floods.
Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach Sudaryatno Sudaryatno; Prima Widayani; Totok Wahyu Wibowo; Bagus Wiratmoko; Wahyu Nurbandi
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.v33i1.7592

Abstract

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.
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).
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait G Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
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.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Using Hydrological Mapping to Evaluate the Effectiveness of the Bener Dam Development in Reducing Flood Risk in Purworejo Regency, Central Java Sudaryatno Sudaryatno; Bagus Wiratmoko; Winanda Winanda; Shelly Yeni Saputri
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.v34i2.10980

Abstract

The Bogowonto Hulu sub-watershed has high flooding potential, especially during the rainy season. This flooding causes physical, social, and economic losses for the local community and so the Bener Dam was built to reduce the volume of flooding in the area. This research aims to find out the effectiveness of the Bener Dam in overcoming the problem of flooding around the Bogowonto Hulu sub-watershed. The effectiveness of dams can be analysed by comparing the volume of the dam reservoir with the peak discharge amount generated. The value of peak discharge can be obtained using remote-sensing data and mathematical calculations following the rational method. Using this method, the estimated peak discharge value obtained for the watershed was 302.3 m3/s while the value of dam capacity was only 210 m3/s, giving 92.3 m3/s of flooding potential. It is necessary to reduce the potential for flooding by building an IR reservoir in the catchment area, so that rainwater is accommodated rather than being immediately depleted, and to reduce concentration time.
Sugarcane Growing and the Livehoods of Small-Scale Farmers in Jinja District, Uganda Muhamud Wambede Nabalegwa; Robert Tweheyo; Joyfred Asaba; Muhamed Waibi
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.v36i2.16279

Abstract

This study focused on establishing the relationship between sugarcane growing and the livelihood of small-scale farmers in Jinja District.  It was guided by three objectives namely: to characterize individual farmers and their farms, establish benefits from sugarcane farming to the farmer’s livelihoods and find out the effect of sugarcane growing on household food security in the area. The study adopted descriptive research design. The target population of this study were sugarcane growing households’ heads and Village Chairpersons of sugarcane out-growers association.  The study employed the purposive and simple random sampling techniques. A sample size of 42 respondents from a population of 362 small-scale farmers.  The methods of data collection included; use of questionnaires, interviewing, focus group discussions and observation.  The study generated both qualitative and quantitative data. The data collected was analysed by computing percentages while qualitative data was analysed by coding and establishing common themes. The study findings revealed that although women are fully involved in sugarcane growing, ownership of farms is dominated by men. The dominant age group among the sugarcane farmers is between 30 to 60 years, with mainly primary education graduates. The average farm size was 3 acres and the larges part of the farm land is devoted to sugarcane growing. There are some positive benefits from sugar growing, though many challenges have been identified. Most smallholder farmers are experiencing food insecurity.  Based on the findings of the study it was recommended that there was need to encourage people owning land less than five acres to practice mixed farming, use scientific methods of farming such as intercropping, crop rotation, use fertilizers to facilitate better yields and crop diversification to improve both on their earnings and food security.

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