The agglomeration review is mostly carried out by identifying the physical and economic dispersal... more The agglomeration review is mostly carried out by identifying the physical and economic dispersal processes of the two growth poles. Many researchers conclude on the result of agglomeration rather than the process nor the forecasts. This study tries to examine the process of urban agglomeration in the metropolitan city of Malang. This is done by combining city fractal theory and urban percolation. The DBSCAN clustering approach at the intersection is used to identify the agglomeration process between the growth poles. While Minkowski’s Dimensional theory is used to identify the fractals that occur. The calculation results show that the maximum Minkowski dimension distribution figure is 200m. It indicates the fractals that occur in the road network data. The DBSCAN clustering modeling at 200m has a strong correlation with the number of light intensity values in the 2021 nighttime light satellite imagery. On the other hand, modeling at 250m to 350m provides an overview of the future agglomeration. This research can be the basis for urban planners to analyze the agglomeration process and predict the future.
IOP Conference Series: Earth and Environmental Science
The agglomeration review is mostly carried out by identifying the physical and economic dispersal... more The agglomeration review is mostly carried out by identifying the physical and economic dispersal processes of the two growth poles. Many researchers conclude on the result of agglomeration rather than the process nor the forecasts. This study tries to examine the process of urban agglomeration in the metropolitan city of Malang. This is done by combining city fractal theory and urban percolation. The DBSCAN clustering approach at the intersection is used to identify the agglomeration process between the growth poles. While Minkowski’s Dimensional theory is used to identify the fractals that occur. The calculation results show that the maximum Minkowski dimension distribution figure is 200m. It indicates the fractals that occur in the road network data. The DBSCAN clustering modeling at 200m has a strong correlation with the number of light intensity values in the 2021 nighttime light satellite imagery. On the other hand, modeling at 250m to 350m provides an overview of the future a...
Menelaah morfologi kota memiliki kelebihan dalam menjelaskan bentuk struktur dan karakteristik se... more Menelaah morfologi kota memiliki kelebihan dalam menjelaskan bentuk struktur dan karakteristik sebuah kota dan perubahannya dari waktu ke waktu. Berbagai metode banyak dihasilkan untuk mengidentifikasi morfologi kota namun sering kali menemui kesulitan dalam penyediaan datanya dikarenakan skala kota yang cukup besar. Perkembangan teknologi yang pesat memungkinkan penggunaan alat pengindraan jauh seperti foto satelit cahaya malam membantu mengidentifikasi morfologi kota. Penelitian ini bertujuan untuk mengidentifikasi morfologi Kota Malang dengan menggunakan data Remote Sensing Light Pollution Map hasil dari Nighttime Light Imagery yang diolah dengan alat analisis clock board zones. Clock board merupakan sistem zonasi untuk analisis perkotaan dengan membagi wilayah perkotaan seperti jam atau papan panah. Clock Board yang digunakan pada penelitian ini membagi Kota Malang menjadi 4 Ring dan 20 Segmen. Pengambilan data sekunder Night time Light (NTL) dilakukan secara series di tahun 20...
Economic growth, regional development, and human activities are some of the things that are very ... more Economic growth, regional development, and human activities are some of the things that are very strongly related and influence each other. Approaches to forecasting the growth of the three are mostly carried out using both conventional and non-conventional data. Utilization of Nighttime Light Imagery satellite imagery is included in a non-conventional approach to forecasting Gross Regional Domestic Product. This study applies the use of satellite imagery to predict the regional development of East Java Province, to find patterns of agglomeration and the formation of clusters of economic development in the future.
International Journal of Environmental Research and Public Health
Cities across the world, during the last period, have been shocked by the outbreak of the COVID-1... more Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views and points of view. However, one of the needs for this planning is an appropriate evaluation of the geographic structure of existing health facilities, in order to properly provide consideration for future urban planning. This study attempts to provide an integrated model of how to evaluate the geographic structure of health facilities with a case study in Makassar City, Indonesia. By combining big data and spatial analysis, it is expected that it will find patterns and directions for acceptable health facilities planning.
The agglomeration review is mostly carried out by identifying the physical and economic dispersal... more The agglomeration review is mostly carried out by identifying the physical and economic dispersal processes of the two growth poles. Many researchers conclude on the result of agglomeration rather than the process nor the forecasts. This study tries to examine the process of urban agglomeration in the metropolitan city of Malang. This is done by combining city fractal theory and urban percolation. The DBSCAN clustering approach at the intersection is used to identify the agglomeration process between the growth poles. While Minkowski’s Dimensional theory is used to identify the fractals that occur. The calculation results show that the maximum Minkowski dimension distribution figure is 200m. It indicates the fractals that occur in the road network data. The DBSCAN clustering modeling at 200m has a strong correlation with the number of light intensity values in the 2021 nighttime light satellite imagery. On the other hand, modeling at 250m to 350m provides an overview of the future agglomeration. This research can be the basis for urban planners to analyze the agglomeration process and predict the future.
IOP Conference Series: Earth and Environmental Science
The agglomeration review is mostly carried out by identifying the physical and economic dispersal... more The agglomeration review is mostly carried out by identifying the physical and economic dispersal processes of the two growth poles. Many researchers conclude on the result of agglomeration rather than the process nor the forecasts. This study tries to examine the process of urban agglomeration in the metropolitan city of Malang. This is done by combining city fractal theory and urban percolation. The DBSCAN clustering approach at the intersection is used to identify the agglomeration process between the growth poles. While Minkowski’s Dimensional theory is used to identify the fractals that occur. The calculation results show that the maximum Minkowski dimension distribution figure is 200m. It indicates the fractals that occur in the road network data. The DBSCAN clustering modeling at 200m has a strong correlation with the number of light intensity values in the 2021 nighttime light satellite imagery. On the other hand, modeling at 250m to 350m provides an overview of the future a...
Menelaah morfologi kota memiliki kelebihan dalam menjelaskan bentuk struktur dan karakteristik se... more Menelaah morfologi kota memiliki kelebihan dalam menjelaskan bentuk struktur dan karakteristik sebuah kota dan perubahannya dari waktu ke waktu. Berbagai metode banyak dihasilkan untuk mengidentifikasi morfologi kota namun sering kali menemui kesulitan dalam penyediaan datanya dikarenakan skala kota yang cukup besar. Perkembangan teknologi yang pesat memungkinkan penggunaan alat pengindraan jauh seperti foto satelit cahaya malam membantu mengidentifikasi morfologi kota. Penelitian ini bertujuan untuk mengidentifikasi morfologi Kota Malang dengan menggunakan data Remote Sensing Light Pollution Map hasil dari Nighttime Light Imagery yang diolah dengan alat analisis clock board zones. Clock board merupakan sistem zonasi untuk analisis perkotaan dengan membagi wilayah perkotaan seperti jam atau papan panah. Clock Board yang digunakan pada penelitian ini membagi Kota Malang menjadi 4 Ring dan 20 Segmen. Pengambilan data sekunder Night time Light (NTL) dilakukan secara series di tahun 20...
Economic growth, regional development, and human activities are some of the things that are very ... more Economic growth, regional development, and human activities are some of the things that are very strongly related and influence each other. Approaches to forecasting the growth of the three are mostly carried out using both conventional and non-conventional data. Utilization of Nighttime Light Imagery satellite imagery is included in a non-conventional approach to forecasting Gross Regional Domestic Product. This study applies the use of satellite imagery to predict the regional development of East Java Province, to find patterns of agglomeration and the formation of clusters of economic development in the future.
International Journal of Environmental Research and Public Health
Cities across the world, during the last period, have been shocked by the outbreak of the COVID-1... more Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views and points of view. However, one of the needs for this planning is an appropriate evaluation of the geographic structure of existing health facilities, in order to properly provide consideration for future urban planning. This study attempts to provide an integrated model of how to evaluate the geographic structure of health facilities with a case study in Makassar City, Indonesia. By combining big data and spatial analysis, it is expected that it will find patterns and directions for acceptable health facilities planning.
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