Indonesian Journal of Geography
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CA-Markov Chain Model-based Predictions of Land Cover: A Case Study of Banjarmasin City
Get PDFLand cover change is a prevalent thing in Indonesia. This phenomenon often causes deforestation rates to continue to increase every year, which can cause various natural disasters. This study will look at changes in land cover, make land cover prediction models, and see the relationship between land cover changes and the flood disaster that occurred in Banjarmasin City and its surroundings. Remote sensing is used to see changes in land cover from year to year with GlobeLand30 satellite imagery. Satellite imagery processing is carried out using the Cellular Automata – Markov Chain method to see the land cover prediction. The results show that the most significant land cover change from 2000 to 2020 is experienced by built-up land and forests, while in 2030, forests are predicted to experience deforestation of 356 km2 from 2020. The deforestation will cause catastrophic flooding in 2021, where flooding extends to areas that are not estimated to be high flood hazards, with 111 flood points located in the plantation area
The Role of Online Food Delivery Services in the Competitiveness of the Yogyakarta Culinary Industry during the Covid-19 Pandemic
Get PDFCulinary business actors in the culinary industry at Yogyakarta provide Online Food Delivery Services to facilitate the trade. This study, therefore, aims to identify the benefits of Online Food Delivery Services as well as the market reach from the providers’ point of view, and further analyzes the intrinsic role played in increasing competitiveness in the culinary industry of Yogyakarta during the Covid-19 pandemic. The process involved a qualitative method, where data was collected through semi-structured interviews, observation, and documentation. Subsequently, qualitative descriptive analysis techniques were used for analysis. Based on the study results, online food delivery services were determined to be beneficial in terms of effectiveness and efficiency in performance, organizational structure, and strategic and competitive advantage. The providers reportedly reached markets at distances up to 25 km–30 km. These actors play a significant role in increasing the competitiveness of the creative industry, particularly in the culinary sub-sector in Yogyakarta City during the pandemic. Moreover, this assumption is based on aspects of competition between similar companies, where the bargaining power of buyers, the threat of new entrants and substitute products were significant
Spatial Environmental Quality Assessment Of Settlement Area In Tangerang City
Get PDFThis study aims to describe the role of changes in the characteristics of spatial patterns on the environmental quality in Tangerang City, Indonesia. It was carried out by detecting and explaining the effect of thermal comfort on the residential area using a combination of spatial and statistical analysis methods. The results showed that the changes in the characteristics of the spatial pattern, which include building density, vegetation area, accessibility, and road network connectivity significantly affected the spatial environmental quality index (IKLS) and temperature heat index (THI). Meanwhile, the changes in THI were caused by the continuous decline in vegetation area and an increase in population due to the urbanization process of Jakarta and other cities
Geospatial approach to accessibility of referral hospitals using geometric network analysts and spatial distribution models of covid-19 spread cases based on gis in bekasi city, west java
Get PDFBekasi City has a high population density, as seen from its growth rate in 2020. Therefore, geospatial analysis is required to support and provide effective and efficient health services, evaluate the need for referral hospital capacity, and minimize the spread of COVID-19 cases in this city. The geospatial methods used in this study are Geometric Network Analyst and Geographic Weighted Regression (GWR), with Service Area (SA) used for analysis. The results based on the distance between the referral hospitals and settlements in Bekasi City showed that more than 2.201 million people, or 90%, have been well covered. Meanwhile, regarding travel time, 1.792 million people or 73% in eight sub-districts are in well-served areas. Conversely, referral hospitals do not cover four sub-districts, namely Bantar Gebang, Jati Sampurna, Medan Satria, and Jati Asih. The spatial modeling analysis results using GWR with spatial-temporal data recapitulation of data reports for eight months showed predictions for the spread of confirmed cases in six sub-districts, namely West Bekasi, North Bekasi, East Bekasi, Medan Satria, Mustika Jaya, and Rawalumbu. This implies that local governments need to suggest more referral hospitals serving people who live far from the existing referral hospitals
Spatial Analysis of Startup User Locations and Its Accuracy Values Using Spatial Data Modeling, Palembang City, Indonesia
Get PDFIncreasingly thriving businesses that utilize existing startups are a form of disruptive innovation. Today, these startup users can multiply the number of their customers online to include a broader population in downtown areas. This research aimed to analyze the locations of startup users in Palembang City, Indonesia, spatially using the Accuracy Values of Spatial Data Modeling. Frequency, a descriptive quantitative approach, and spatial data modeling analysis were the two methods applied to 364 sampling points distributed in Palembang City. The results indicated that single women with an average of high school or equivalent education dominated the demographics of the startup users. Also, on average, the startup users were 20–29 years of age. The spatial analysis revealed that their business locations formed a dispersed pattern, with an even density in the downtown area. Based on the sensitivity and specificity values on the ROC curve (receiver operating characteristic) and the accuracy level obtained from AUC (area under the ROC curve), the Spatial Data Modeling (SDM) of the density distribution showed very high-accuracy results, 98.8%
Problem and Alternative Solutions: Impact of Changes in Law concerning Regional Government on the Law of the National Sea
Get PDFAs one of the largest archipelagic countries in the world, Indonesia has an area of inland waters of 3.11 million km2 and a territorial sea area of 290,000 km2. Indonesia also has 17,504 islands, 34 provinces, and 514 cities/districts. For orderly administration, the government and parliament established Law No. 32/2004 amended by Law No. 23/2014 concerning regional governance. In both laws, there is little regulation on the management of marine areas in the provinces and districts/cities. Since the Law No. 32 of 2004 on amendments became Law No. 23 of 2014, some problems arose, namely vertical references, management authority, and archipelagic provinces or districts/cities. This paper describes the problems and alternative solutions to address the problems caused by the amendments to Law no. 32/2004 into Law no. 23/2014. The method used is to compare the vertical references used by Law no. 32/2004 namely LWL with Law. No. 23/2014 namely HWL. The results of this study recommend that to return to the vertical reference used, it must return to HWL by UNCLOS 1982. In addition, the authority for managing marine areas must also be returned to the district and city governments and there is recognition of districts/cities and archipelagic provinces that are not separated by the sea
Urban Form and Transportation Energy Consumption in Depok, Indonesia
Get PDFBy combining transportation energy use per capita for main, side, and weekend activities, this study explores the correlation between transportation energy consumption and urban form at a village scale. Conducted in Depok, a satellite city of the Jabodetabek metropolitan area, Indonesia, four different urban form variables were measured, including population density, land use mix, street connectivity, and public transportation range area. Four other socio-economic variables, i.e., private vehicle ownership, driving license ownership, job type, and monthly income, were also considered in the analysis. Data on individual energy consumption in the transportation sector was acquired through an online questionnaire. The results of correlation analysis and one-way analysis of variance highlighted three main findings related to transportation energy consumption. First, the population density and the street connectivity were found to be correlated with the amount of transportation energy consumed. Second, the middle urban form compactness level outweighed the high compactness level in terms of energy consumption per capita per week. Finally, differences in private vehicle ownership, driving license ownership, and job type resulted in different transportation energy usage
Migration Trajectories among Rural Households in Indonesia
Get PDFInternational migration trajectory is one of the important aspects discussed when viewing the migration culture of a region. The specific types and patterns created are unique and dependent on the length of the migration history. Therefore, this study is aimed to explain the migration history carried out by residents in Ponorogo Regency, East Java Province, and the factors that influence international migration. This is a survey research of 515 international migrants. The results showed that the migration pattern in Ponorogo Regency was divided into one, two, and three destination countries with temporal space-related cultural factors used to determine an important influence on rural households' ability to work abroad. Similar to other studies, age and gender are the two key variables related to migration trajectories in Ponorogo Regency
Sea Surface Temperature (SST) and Rainfall Trends in the Singapore Strait from 2002 to 2019
Get PDFStudying Singapore Strait waters condition as a form of maritime mitigation is necessary because it is an international shipping lane. The dominant weather changes include rainfall, wind flows, and sea surface temperature (SST). This study aims to reveal the relationship between rainfall and SST activity in the Singapore Strait for over 18 years, from 2002 to 2019. The results showed a negative correlation, where the SST decreases as rainfall increases and vice versa. In addition, the high rainfall and low SST distribution occur in the Western season (December–February). The low rainfall intensity and high (warm) SST distribution occur yearly in the transition from West to East (March–August). Also, the distribution pattern is influenced by rainfall intensity and the water mass from the South China Sea and the Malacca Strait, where the strait is a mixture of these masses. The neural network model confirmed the negative correlation. Hence a small change in SST causes rainfall if it is cooler, and less precipitation if warmer
Importance of Tropospheric Correction to C-band InSAR Measurements: Application in the 2018 Palu Earthquake
Get PDFLong-term InSAR-based observations are prone to atmospheric delay interference. The active-phase signals emitted and recorded back by sensors during imaging are easily disturbed by the electron content in the ionospheric layer and the water vapor content in the tropospheric layer. Given that the short wavelength of the C-band used by Sentinel-1 is more sensitive to tropospheric delay than to ionospheric delay, in this work, we utilized InSAR Sentinel-1 data to observe the postseismic deformation that occurred following the 2018 Palu earthquake and to evaluate the effect of tropospheric delay on the estimated interferogram time series. The cloud computation of Looking into Continent from Space with Synthetic Aperture Radar (LiCSAR) and LiCSBAS was used to generate interferograms and analyze the time series. Here the atmospheric delay was modeled by using Generic Atmospheric Correction Online Service (GACOS) and removed from the generated interferograms. Results showed that the annual velocity and cumulative line-of-sight (LOS) displacement were refined by correcting the atmospheric delay. Specifically, by applying GACOS, the standard deviation of the generated interferograms decreased by up to 76.6%. GNSS observations were utilized to verify the improvement due to the removal of tropospheric noise. We found that LOS displacement with GACOS correction better fitted the GNSS observation than LOS displacement without GACOS correction. Therefore, atmospheric correction plays an important role in long-term InSAR-based observations, especially in avoiding any bias in the interpretation of the estimated time series