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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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Analysis of Geographically and Temporally Weighted Regression (GTWR) GRDP of the Construction Sector in Java Island Sugi Haryanto; Muhammad Nur Aidi; Anik Djuraidah
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.v33i1.7332

Abstract

The construction sector is one of the sectors that have strategic value in the national economy. Economic activity in an area is measured using the Gross Regional Domestic Product (GRDP). The development of economic activities in the construction sector can be seen from the GRDP of the construction sector. The Geographically and Temporally Weighted Regression (GTWR) model is a development of the Geographically Weighted Regression (GWR) model taking into account the diversity of locations and times. This study used secondary data, namely the data of GRDP the construction sector as a response variable and four explanatory variables, namely the number of population, local revenue, area, and the number of construction establishments. The purpose of this study is to determine the factors that influence each regency/municipality and each year observing the GRDP of the construction sector in Java with the GTWR model. GTWR model is more effective to describe the value of GRDP the construction sector of regencies/municipalities in Java Island in 2010-2016. This is indicated by the decrease in values of Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD), and the Mean Absolute Percentage Error (MAPE).
Erosion Analysis in the Mrica Reservoir Catchment Area in Indonesia using the Soil Erosion Status Method Beny Harjadi
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.v35i2.13943

Abstract

The reservoir catchment area (RCA) of Mrica in Banjarnegara district is a powerplant in Central Java with a capacity of 184.5 MW. Mrica Dam, also called the dam of Great Commander General Sudirman, has seen its functions gradually decrease due to sedimentation from massive erosion that has occurred in the upland regions. RCA Mrica, with the upland area in Wonosobo district, has an area of 93,546.4 hectares, consisting of six sub-watersheds, Lumajang, Serayu upstream, Begaluh, Serayu, Tulis and Merawu. In 2017, sedimentation in the dam reached 238,236,588.20 m3/year, resulting from an erosion rate of 524,948.33 tons/year. In light of this serious erosion problem in the Mrica RCA, this study aims to estimate the distribution of the erosion level, categorised as slight, moderate and severe, using the SES (soil erosion status) formula. SES was calculated by mapping the level of each influential aspect: aspect, drainage, land cover, slope and soil texture. The calculation used SRTM (Shuttle Radar Topography Mission) satellite imagery and 2017 Landsat TM7 images. The results show slight erosion (50 tons/ha/year) in 1,468.7 ha (1.6%); moderate erosion (50-100 tons/ha/yr) in 56,258.8 ha (60.1%); and severe erosion ( 100 tons/ha/year) in 35,818.9 ha (38.29%). Sampling in the field took into account the slope class of nine classes and was repeated three times, so the number of samples taken in the field was 27. From field visits to the 27 location points, there was conformity in the results of the sensing analysis is much more than 85%”.  The results of the erosion calculation using the SES method showed severe erosion of 27.9% (26,137 ha); moderate erosion of 70.2% (65,679 ha); and slight erosion =of 1.8% (1,731 ha).  Further erosion calculation using the SES method needs to be compared with calculation using other methods.
Acknowledgement for Reviewers Volume 32 2018 Jumadi Jumadi
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.v32i2.7596

Abstract

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.
Karst of Gunung Sewu Land Use and Land Covers Dynamics: Spatio-Temporal Analysis Hilary Reinhart; Rakhmat Dwi Putra; Muhamad Rifki Rafida; Muhammad Adrian Majiid; Nadhine Salsa Maulita
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.v36i2.19868

Abstract

A study of karst land use and land cover dynamics is critical for managing karst areas, which provide many pivotal services for people. This study aims to study such dynamics, especially in relation to the karst of Gunung Sewu, due to its development as a new emerging sector. Using a mixed methods approach, the study combines spatial data analysis with qualitative analysis. Spatial analysis was performed to examine the dynamic of the land cover derived from 2013 and 2021 Landsat 8 imagery, analyzed with the Google Earth Engine tool, together with analysis of spatial patterns using Global Moran’s I and LISA. The spatial analysis results were complemented by a qualitative analysis of the environmental history and development trends, as an explanatory method. The land cover analysis reveals a conversion from vegetation to agriculture, while the spatial pattern analysis shows that such conversion has mostly taken place in the northern part of the study area of Wonosari Basin. The environmental history of teak forest exploitation and agriculture is key to understanding current land use related to the emerging tourism sector, which is fundamental to the region. To manage the negative impacts, sustainable land use with a firm policy framework urgently needs to be implemented.
Developing an Extraction Method of Urban Built-Up Area Based on Remote Sensing Imagery Transformation Index Iswari Nur Hidayati; R Suharyadi; Projo Danoedoro
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.v32i1.5907

Abstract

Studying urban areas using remote sensing imagery has become a challenge, both visually and digitally. Supervised classification, one of the digital classification approaches to differentiate between built-up and non-built-up area, used to be leading in digital studies of urban area. Then the next generation uses index transformation for automatic urban data extraction. The extraction of urban built-up land can be automatically done with NDBI although it has one limitation on separating built-up land and bare land. The previous studies provide opportunities for further research to increase the accuracy of the extraction, particularly using index transformation. This study aims to obtain the maximum accuracy of the extraction by merging several indices including NDBI, NDVI, MNDWI, NDWI, and SAVI. The merging of the indices is using four stages: merging of two indices, three indices, four indexes and five indices. Several operations were experimented to merge the indices, either by addition, subtraction, or multiplication. The results show that merging NDBI and MNDWI produce the highest accuracy of 90.30% either by multiplication (overlay) or reduction. Application of SAVI, NDBI, and NDWI also gives a good effect for extracting urban built-up areas and has 85.72% mapping accuracy.
Analysis of Settlements along Abandoned Railway Tracks in Majalaya Subdistrict, Bandung Regency, Indonesia Septi Sri Rahmawati; Sudrajat Sudrajat; Sri Rum Giyarsih
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.v34i1.10924

Abstract

Settlements in urban areas expand as the population grows and are influenced by growth centres. This research was designed to identify the quality of informal settlements along abandoned railwaytracks in the Majalaya District, an industrial centre in Bandung Regency, Jawa Barat Province, Indonesia. A quantitative method was employed, with proportional random sampling and the use of  both primary and secondary data. The primary data referred to the conditions of the slum areas, while the secondary data were images, Regional Spatial Planning (RTRW) documents and RTRW maps. The quantitative analysis employed scoring through slum settlement assessment indicators, while spatial analysis was supported by regional data. The results from the research show that although housing construction quality varies, most settlements are illegal and prone to flooding, fire, and contagious diseases. The research should be beneficial for the government in promoting and implementing slum eradication programmes in urban areas.
The Values of Natural Disaster Mitigation in Discourse: The True Story of the Acehnese Tsunami Victims Denni Iskandar; Tengku Silvana Sinar; Iskandar Abdul Samad; Ahmad Nubli Gadeng
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.v35i2.14032

Abstract

This article aims to investigate the values of natural disaster mitigation among Acehnese Tsunami Victims. Natural disaster mitigation is an important issue for people who live in disaster-prone country such as Indonesia. Hermeneutical approach was employed in this study to reveal the values of disaster mitigation contained in the book about true story of the survivors of the Earthquake and Tsunami that occurred on December 26, 2004. The results of this research indicate that there are eighteen values of natural disaster mitigation, with details of 9 mitigation values about what to do when a tsunami occurs, 3 mitigation values about what should be avoided, and 6 mitigation values about preventive measures to reduce tsunami risk. Finally, this research reveals that these empirical facts can corroborate the theories and concepts of mitigation of the Earthquake and Tsunami disaster and also as reference to various educational context.
Remote Sensing Imagery and GIS for Monitoring the Pyroclastic Material of Mount Sinabung Cahyadi Setiawan; Muzani Muzani; Warnadi Warnadi; Fauzi Ramadhoan A'Rachman; Qismaraga Qismaraga; Ermalia Ermalia
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.v33i2.9223

Abstract

The purpose of this study was to determine the extent of changes in land cover around the Mount Sinabung area after the 2009-2019 eruption by monitoring through remote sensing imagery and GIS. The method used in this research is descriptive quantitative. The technique of data collection used document study techniques by collecting Landsat images are among the widely used satellite remote sensing data and their spectral, spatial and temporal resolution made them useful input for mapping and planning projects (Sadidy et al. 1981). Changes in land cover that occurred around the Mount Sinabung area were dominated by pyroclastic material due to eruption. In addition, changes in land cover also occur due to the abandonment of potential lands, such as local residents who work in the plantation sector are forced to leave that, so they eventually turn into shrubs. The direction of the dominant pyroclastic material slides was directed towards the east-south and southeast of Mount Sinabung, where the area was dominated by the plantation sector. The impact of the eruption of Mount Sinabung was directly and indirectly. The total land cover changes due to pyroclastic material in 2010 was an area of 26.27 Ha, in 2014 it was 475.82 Ha, 2017 was 1339.75 Ha, and 2019 was 1196.11 Ha.
Analysis of Vulnerability to Transmission of the Covid-19 based on Building Function at Padukuhan Mancasan Kleben, Pandowoharjo, Sleman, Yogyakarta Afrinia Lisditya Permatasari; Ika Afianita Suherningtyas; Erik Febriarta; Putu Perdana Kusuma Wiguna
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.v35i2.13755

Abstract

Coronavirus Disease (COVID-19) pandemic is currently being a concern in all parts of the world, including Indonesia. Yogyakarta Special Region, especially Sleman Regency, is a red zone, which is an area that has a very high transmission rate of Covid-19. Padukuhan Mancasan Kleben, is one of the hamlets located near the government center of Sleman Regency where community activity and mobility are quite high. There are many business buildings located along the main road. The purpose of this research is to analyze the vulnerability to transmission of Coronavirus Disease (COVID-19) based on building function using Analytical Hierarchy Process (AHP) and Spatial Multi Criteria Evaluation (SMCE) methods. Types of buildings as houses and store are identified using Unmanned Aerial Vehicle (UAV) image. Types of buildings used as physical variables in the analysis. Based on the result, from total of 363 buildings, there are 35 buildings that have a high level of vulnerability and 328 buildings with low vulnerability. A low level of vulnerability is found in buildings that function as shophouse. Meanwhile, the low level of vulnerability is found in buildings used as houses and public facilities. This is because during the pandemic, several public facilities in Mancasan Kleben are not yet operational. Mitigation efforts that need to be implemented are increasing awareness of ourselves and the surrounding environment. The implementation of healthy living habits by implementing CITA MAS JAJAR, avoiding crowds and not traveling if it is not too important, can help prevent the transmission of Coronavirus Disease (COVID-19)

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