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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.
Arjuna Subject : -
Articles 16 Documents
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Search results for , issue "Vol 33, No 2 (2019): December 2019" : 16 Documents clear
Groundwater Vulnerability to Pollution in Kasihan District, Bantul Regency, Indonesia Setyawan Purnama; Ahmad Cahyadi
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.v33i2.7672

Abstract

The groundwater vulnerability to pollution refers to the ease of pollutants reaching groundwater, so the groundwater will be polluted. The concept shows a probability that pollution will occured which basically bases on the assumption that the physical environment can prevent the flow of pollutants into the aquifer. The purpose of this study was to predict the vulnerability of groundwater in the study area against pollution. To achieve these objectives beside base on secondary data, also measured the depth of phreatic surface, slope and groundwater sampling. Location of measurement and sampling is determinated by considering location of infiltration measurement ever done by Purnama in 2017. To conduct groundwater vulnerability analysis on pollution in the study area, carried out by SINTACS Method which bases on a numerical system of weight and rating. Weight are determined based on the significance of the effect of the parameters on groundwater pollution, while the rating is determined based on the significance of the influence of variables in each parameters against groundwater pollution. As a result, it is known that groundwater vulnerability indeks in research area range from 117,0 to 189,9. According to criteria of SINTACS, the value are classified as moderate vulnerability and rather high vulnerability. Areas that include moderate levels of vulnerability generally located in Sentolo Formations that consist of limestone and has grumusol soil type. Areas that classified as rather high vulnerability is located in Yogyakarta Formation that consist of volcanic rock and has regosol soil type. Based on this phenomena, it can be said that geological aspect and type of soil greatly affect the vulnerability of groundwater to pollution in the research area.
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.
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.
Morphological Changes due to Anthropogenic Interferences in Gendol River Valley, Merapi Volcano Mukhamad Ngainul Malawani; Tiara Handayani; Jundi Muhammad Bariq; Radikal Lukafiardi
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.v33i2.8766

Abstract

This research aims to identify the morphological changes in Gendol river, Merapi volcano. After the eruption 2010, Gendol river filled up by pyroclastic materials, then utilized as mining area. As the volcanic materials are abundance in Gendol river, sand mining activities are dominant, causing antrophogenic interferences that changes the morphology of Gendol valley. In this study, the morphological changes is measured by terrestrial survey, aerial mapping, and materials analysis through petrographic and granulometric analysis. Aerial mapping was conducted in February and August 2019 in order to identify the dynamic changes during 6 months observation. Vertical changes is found in the active mining zone, in western-side of research area, while horizontal changes was found in eastern-side. The comparison of widening and narrowing valley is 13:1 due to horizontal changes. Result of petrographic analysis showes that three different sampling locations originated from similar provenance, which is undissected arc provenance but may differ in period of sedimentation. Grain material found in research are categorized as suitable material for mining with the 0,733 mm grain size. However, the mining activities should be aware of material availability to minimize the riverbank failure.
A Comparative Study of various Indices for extraction urban impervious surface of Landsat 8 OLI Iswari Nur Hidayati; R Suharyadi
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.v33i2.9179

Abstract

Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.
Suitable Proportion Sample of Holdout Validation for Spatial Rainfall Interpolation in Surrounding the Makassar Strait Giarno Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
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.v33i2.8351

Abstract

Spatial rainfall interpolation requires a number of suitable validation samples to maintain accuracy. Generally, the larger the areas which can be predicted, the better the interpolation. In addition, the data used for validation should be separated from the modelling data. Moreover, the number of samples determine optimally proportion the independent sites. The objective of this study is to determine the optimal sample ratio for holdout validation in interpolation methods; the Makassar Strait was chosen as the study location because of its daily rainfall variation. The accuracy of the sample selection is tested using correlation, root mean square error (RMSE), mean absolute error (MAE) and the indicators of contingency tables. The results show that accuracy depends on the ratio of the modelling data. Therefore, the more extensive the data used for interpolation, the better the accuracy. Otherwise, if the rain gauge data is separated according to province, there will be a variation in accuracy in the portion of independent samples. For rainfall interpolation, it is recommended to use a minimum 75% of data sites to maintain accuracy. Comparison between kriging and inverse distance weighting or IDW methods indicates that IDW is better. Moreover, rainfall characteristics affect the accuracy and portion of the independent sample.

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