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Analisis Spasial Daya Dukung Lahan Kabupaten Majalengka Mardalena, Ayu; Banurea, Dedy Swandy; Purwanti, Renita
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 4 No. 1 (2024): Journal of Demography, Etnography and Social Transformation
Publisher : Pusat Kajian Demografi, Etnografi dan Transformasi Sosial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v4i1.2376

Majalengka Regency is one of the administrative areas in West Java Province which has a high population density of 1,096 people/km2. The large population density in this area results in a large amount of land conversion which can cause a decrease in the carrying capacity of land in Majalengka Regency. This study aims to analyze the land carrying capacity of each sub-district in the Majalengka Regency and analyze the efforts that can be made based on the physical characteristics of the region and the RTRW of the Majalengka Regency. The methods used are descriptive quantitative and spatial analysis in the evaluation of land suitability. The results of this study are that out of 26 sub-districts in Majalengka Regency, 18 sub-districts are included in the deficit category while 8 sub-districts are included in the surplus category. Efforts in the management of each region are different according to the characteristics of the local area and the direction of regional functions based on the RTRW.

The Effect Of Urbanization On Flood Mitigation and Food Security: A Comparative Study Of Rome (Italy) and Semarang (Indonesia) Mardalena, Ayu
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 4 No. 1 (2024): Journal of Demography, Etnography and Social Transformation
Publisher : Pusat Kajian Demografi, Etnografi dan Transformasi Sosial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v4i1.2735

The rapid acceleration of urbanization, without proper urban spatial policy planning, can have a significant impact on flood mitigation and regional food security, particularly in the urban areas of Rome and Semarang. This study aims to investigate, review, and compare the influence of land use change on food security and flood mitigation in Rome, Italy, and Semarang, Indonesia. The methods used include a literature review and a comparative analysis of scientific publications, reports, and findings from journals published between 2020 and 2023. The findings revealed that urbanization in Rome had a twofold negative effect compared to forest expansion. Moreover, the decrease in natural land in Rome reduced 249,838 tons in productive agricultural areas. On the other hand, urbanization in Semarang resulted in an increase in built-up land area and a decrease in land elevation, leading to a rise in the number of flood events from 23 in 2020 to 63 in 2022. Additionally, urbanization also led to a decrease in agricultural land, reduced water availability for agriculture, and raised the cost of food transportation due to increased distances between production areas and urban centers. Urbanization in both cities poses a threat to the safety of urban residents, particularly through the heightened risk of urban flooding and decreased food security. It is crucial for the government to take charge and establish sustainable regional development by formulating spatial policies for urban areas.

SPATIAL TEMPORAL ANALYSIS OF LAND USE CHANGES IN AREAS VULNERABLE TO EARTHQUAKES AND LANDSLIDES, (Case Study: Cianjur Regency) Noer, Marwah; Mardalena, Ayu; Astuty, Yulia Indri; Rahmadi, Rahmad; Manessa, Masita Dwi Mandini
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 21, No 1 (2024)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3896

Cianjur Regency is a regency that is vulnerable to earthquakes and landslides. This is because the Cianjur Regency is crossed by the Cimandiri Fault which is actively moving. Meanwhile, the population growth rate in Cianjur district has increased based on data from Badan Pusat Statistik (BPS) for 2020-2021. Population growth causes many problems, especially the problem of space. Built-up land will be higher as the population increases. This study uses the temporal spatial analysis method of land use with variables of land use in 2013 and 2022, Earthquake Vulnerability Index, and Landslide Vulnerability Index. This variable was obtained based on the processing of Landsat 8 Satellite Imagery data in 2013 and 2022 and disaster vulnerability raster data from Badan Nasional Penanggulangan Bencana (BNPB). The results of this study are a temporal spatial analysis of changes in land use from 2013 - 2022 for earthquake-vulnerable areas and landslide-vulnerable areas. Changes in the use of built-up land to the Landslide Vulnerability Index experienced an increase in area in all categories. In contrast, the Earthquake Vulnerability Index only experienced an increase in the medium and high categories.

Analisis Perubahan Penggunaan Lahan di Kabupaten Cianjur Astuty, Yulia Indri; Mardalena, Ayu; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 1 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.231.01

Cianjur Regency is one of the regencies located in West Java Province that is vulnerable to disasters because it is passed by the Cimandiri fault. Furthermore, according to BPS the population of Cianjur districts during year 2013 – 2021 increased by around 12.64%. The increasing number of population may cause various problems, including that is related to the spatial problems and land use issues. Moreover, the vulnerability of natural disasters is highly related to the land use of the area. Hence, research regarding land use in Cianjur districts to seek the its relation with the vulnerability of natural disasters is needed. This study conducted a land use analysis using Landsat 8 satellite imagery for 2013 and 2022 in 6 sub-districts in Cianjur district. To obtain land use classification of study area, an unsupervised classification of Landsat imagery is conducted with using Iso class algorithms. There three classes of land use resulted, namely namely built-up land, high vegetation and low vegetation. The overall accuracy of the data from year 2013 is 82.67% with kappa index of 0.74. Moreover the overall accuracy of the data from year 2022 is 89.33% with kappa index of 0.84. Changes of land use can be seen when these two different year data are overlay. Overall, the main differences are increasing number of built-up area and high vegetation land use classification while the low vegetation shows a decreasing number. It is hoped that this research can contribute to policy makers in establishing decisions related to spatial planning for sustainable development in disaster-prone areas around Cianjur district.

Pemodelan Spasial Lahan Terbangun Kota Jambi Mardalena, Ayu; Supriatna, Supriatna; Dimyati, Muhammad
Majalah Geografi Indonesia Vol 39, No 1 (2025): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.98027

Abstrak. Kota Jambi memiliki kepadatan penduduk tertinggi di Provinsi Jambi, yang mendorong perubahan penggunaan lahan akibat ketidakseimbangan antara pertumbuhan populasi dan ketersediaan lahan. Penelitian ini bertujuan untuk menganalisis dinamika penutup lahan terbangun dari tahun 2013 hingga 2023 dan mensintesis prediksi penutup lahan terbangun tahun 2033 terhadap Rencana Tata Ruang Wilayah (RTRW). Penelitian ini menggunakan metode klasifikasi terbimbing dengan algoritma Random Forest (RF) pada citra satelit Landsat 8 untuk menganalisis perubahan dari tahun 2013, 2016, 2019, hingga 2023 yang telah diuji akursi dan validasi menggunakan indeks kappa. Untuk prediksi penutup lahan masa depan tahun 2033, digunakan metode MLP-CAMC melalui perangkat lunak Terrset 2020, dengan mempertimbangkan variabel seperti lereng, jarak dari jalan, jarak dari badan air (sungai dan danau), jarak dari pusat ekonmi, jarak dari sekolah, dan jarak dari prasarana tranportasi. Hasil penelitian menunjukkan bahwa luas lahan terbangun di Kota Jambi diproyeksikan meningkat secara signifikan hingga mencapai 11.892,52 hektar atau 70,41% dari total luas wilayah pada tahun 2033 Peningkatan ini terkonsentrasi di wilayah dengan kemiringan tanah datar hingga landai, dengan jarak dari jalan sebagai faktor paling berpengaruh. Pertumbuhan pesat lahan terbangun terutama terjadi di Kecamatan Paal Merah, Alam Barajo, dan Kota Baru. Dari sisi analisis kesesuaian dengan RTRW, pada tahun 2033 lahan terbangun diproyeksikan memiliki tingkat kesesuaian sebesar 90,5% terhadap kategori peruntukan lahan terbangun yang direncanakan, sementara 9,5% sisanya tergolong tidak sesuai. Penelitian ini menekankan pentingnya pengelolaan tata ruang yang terencana untuk mengantisipasi dampak negatif pertumbuhan lahan terbangun. Pengawasan ketat dan evaluasi RTRW secara berkala diperlukan guna mendukung pembangunan berkelanjutan di Kota Jambi. Abstract. Jambi experiences the highest population density in Jambi Province, which significantly impacts land use due to the mismatch between population growth and land availability. This study aims to analyze the dynamics of built-up area from 2013 to 2023 and synthesize projections for built-up area in 2033 in accordance with the Regional Spatial Plan (RTRW). The research employs a supervised classification method utilizing the Random Forest (RF) algorithm on Landsat 8 satellite imagery to track changes from the years 2013, 2016, 2019, and 2023, with accuracy validated using the kappa index. For forecasting land cover in 2033, the MLP-CAMC method was applied through Terrset 2020 software, incorporating factors such as slope, proximity to roads, distance from water bodies (including rivers and lakes), distance to economic centers, proximity to schools, and access to transportation infrastructure. The findings indicate a significant projected increase in built-up land in Jambi City, reaching 11,892.52 hectares or 70.41% of the total area by 2033. This growth is primarily concentrated in flat to gently sloping areas, with proximity to roads identified as the most influential factor. Notable expansion of built-up land is particularly observed in the subdistricts of Paal Merah, Alam Barajo, and Kota Baru. In terms of alignment with the RTRW, the projected built-up land for 2033 is anticipated to achieve a compatibility rate of 90.5% with the designated land-use categories, while 9.5% is classified as non-compliant. This study highlights the necessity of strategically planned spatial management to mitigate the adverse effects of built-up land expansion. Rigorous monitoring and regular evaluations of the RTRW are crucial to support sustainable development in Jambi City.Submitted: 2024-07-09 Revisions: 2024-12-06 Accepted: 2025-02-17 Published: 2024-02-17

Model Prediction of Built-Up Land Use on Flood-Prone Areas (a Systematic Literature Review) Mardalena, Ayu
BUMI: International Journal of Environmental Reviews Vol. 2 No. 01 (2024): BUMI: International Journal of Environmental Reviews
Publisher : UIN Sulthan Thaha Saifuddin Jambi, Pusat Kajian Lingungan Hidup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/bumi.v2i01.2415

Land use is dynamic due to the influence of population growth in an area. High population growth leads to uncontrolled and unplanned changes in land use in an area, resulting in environmental damage, especially in disaster-prone areas. The aim of this study is to review various models suitable for predicting changes in land use concerning flood-prone areas using a literature review method with PRISM guidelines and visualizing literature results using VosViewer software (1.6.19). The results of this study show that SD (System Dynamic Model) and CA-MC (Cellular Automata â€“ Markov Chain) are the most commonly used models in land use change prediction. Meanwhile, the variables most suitable for land use studies, especially built-up land in relation to flood disasters, are population, growth rate, rainfall, slope, GDP, distance from (roads, rivers, and city centers), and LULC.

Analisis Spasial Daya Dukung Lahan Kabupaten Majalengka Mardalena, Ayu; Banurea, Dedy Swandy; Purwanti, Renita
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 4 No. 1 (2024): Journal of Demography, Etnography and Social Transformation
Publisher : LPPM UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v4i1.2376

Majalengka Regency is one of the administrative areas in West Java Province which has a high population density of 1,096 people/km2. The large population density in this area results in a large amount of land conversion which can cause a decrease in the carrying capacity of land in Majalengka Regency. This study aims to analyze the land carrying capacity of each sub-district in the Majalengka Regency and analyze the efforts that can be made based on the physical characteristics of the region and the RTRW of the Majalengka Regency. The methods used are descriptive quantitative and spatial analysis in the evaluation of land suitability. The results of this study are that out of 26 sub-districts in Majalengka Regency, 18 sub-districts are included in the deficit category while 8 sub-districts are included in the surplus category. Efforts in the management of each region are different according to the characteristics of the local area and the direction of regional functions based on the RTRW.

The Effect Of Urbanization On Flood Mitigation and Food Security: A Comparative Study Of Rome (Italy) and Semarang (Indonesia) Mardalena, Ayu
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 4 No. 1 (2024): Journal of Demography, Etnography and Social Transformation
Publisher : LPPM UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v4i1.2735

The rapid acceleration of urbanization, without proper urban spatial policy planning, can have a significant impact on flood mitigation and regional food security, particularly in the urban areas of Rome and Semarang. This study aims to investigate, review, and compare the influence of land use change on food security and flood mitigation in Rome, Italy, and Semarang, Indonesia. The methods used include a literature review and a comparative analysis of scientific publications, reports, and findings from journals published between 2020 and 2023. The findings revealed that urbanization in Rome had a twofold negative effect compared to forest expansion. Moreover, the decrease in natural land in Rome reduced 249,838 tons in productive agricultural areas. On the other hand, urbanization in Semarang resulted in an increase in built-up land area and a decrease in land elevation, leading to a rise in the number of flood events from 23 in 2020 to 63 in 2022. Additionally, urbanization also led to a decrease in agricultural land, reduced water availability for agriculture, and raised the cost of food transportation due to increased distances between production areas and urban centers. Urbanization in both cities poses a threat to the safety of urban residents, particularly through the heightened risk of urban flooding and decreased food security. It is crucial for the government to take charge and establish sustainable regional development by formulating spatial policies for urban areas.

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