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"Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi"
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<![CDATA[Gambaran Spasial Hubungan antara Faktor Lingkungan dan Ekonomi dengan Stunting Balita di Provinsi Nusa Tenggara Timur ]]>
<![CDATA[Nashriyah, Siti Fadhilatun]]>;
<![CDATA[Makhful, Martya Rahmaniati]]>;
<![CDATA[Devi, Yuli Puspita]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.01
<![CDATA[Background: The President through Presidential Regulation Number 72 of 2021 is committed to accelerating the reduction of stunting in Indonesia. The stunting priority areas also continue to be increased from year to year. In Indonesia, East Nusa Tenggara Province is the province with the highest prevalence of stunting, namely 37.8% in 2021. Objective: To find out the spatial picture and the correlation between environmental factors and economic factors with the prevalence of stunting in East Nusa Tenggara Province in 2021. Methods: The research design is an ecological study with a spatial approach. This study uses secondary data in the form of reports issued by the Indonesian Ministry of Health (SSGI: Indonesian Nutritional Status Study) and the BKKBN (PK: Family Data Collection) in 2021 with district/city-level analysis units in East Nusa Tenggara Province. Data analysis used a correlation test and mapping was carried out using the QGIS 2.8.1 application. Results: The prevalence of stunting in NTT Province tends to be high in the eastern part while the risk factors for stunting (unfavorable environment and economy) tend to be high in the western part. The correlation test showed that the correlation between the prevalence of stunting and the poor was 0.165 (p = 0.463); with inadequate latrines of 0.420 (p = 0.052); and with inadequate drinking water sources of 0.426 (p = 0.048).]]>
<![CDATA[Tradisi Bersih Desa Putukrejo Nganjuk Jawa Timur melalui Kearifan Lokal Wayang Timplong ]]>
<![CDATA[Sri Martini]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.002
<![CDATA[This study aims to examine the Timplong Puppet Show in the Clean Village Tradition in Putukrejo Village, Nganjuk, East Java,. Wayang Timplong is a traditional art from Nganjuk, East Java. Puppet Timplong has a uniqueness including; made of wood that is inlaid until it is flat with sculptures to form faces and other ornaments that are colored. The Wayang Timplong show does not require a shadow because the shape of the puppet is clearly defined so that the puppet show can be held in the morning, afternoon, afternoon or evening. Wayang Timplong in its heyday was commonly used by the public in various events including; weddings, circumcisions, thanksgiving, village clean traditions, ruwatan and nandar. Along with the development of the Wayang Timplong era, the community began to abandon it and until now only certain events still survive using the Timplong Puppet such as; the clean tradition of the village, ruwatan and nandar because it is related to community beliefs passed down by ancestors through a tradition that the Timplong Puppet is able to ward off all kinds of disasters in a village. Wayang Timplong contains the values of life and character education which are depicted through stories with the theme of Panji.]]>
<![CDATA[Perubahan Tutupan Vegetasi terhadap Daerah Rawan Longsor di Kabupaten Cianjur, Provinsi Jawa Barat ]]>
<![CDATA[Rahmadi]]>;
<![CDATA[Wibowo, Adi]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.10
<![CDATA[Identifikasi Ketersediaan Ruang Terbuka Hijau dan Suhu Permukaan di Jakarta Selatan ]]>
<![CDATA[Dayu Ariesta Kirana Sari]]>;
<![CDATA[T. MHD. Rafli Fatani]]>;
<![CDATA[Nugraheni Setyaningrum]]>;
<![CDATA[Darmawan Listya Cahya]]>;
<![CDATA[Laili Fuji Widyawati]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.03
<![CDATA[The effect of high population density is the reduction of green space areas, which enhances the risk of climate change impact. Green space has multifunction roles in ecology, social and economics. The provision of green space can reduce heat and pollution, improve water management and support health and well-being, essentially in densely urban areas. This study aims to identify the availability of green space areas considering the vegetation density and their implication for land surface temperature in South Jakarta. A remote sensing approach is deployed with the Normalized Difference Vegetation Index (NDVI) to analyze the green space areas and LST to identify the temperature of each district. The result shows that the majority of the district in South Jakarta has increased the number of green space areas. While the surface temperature in the neighbourhood, with growing green space areas, has the lowest temperature in 2021, Setiabudi District. On the other hand, Tebet District experienced the highest land surface temperature in 2021, around 29,6oC, which dedicated only 3.54 Km2 of green spaces, the smallest area amongst districts in South Jakarta.]]>
<![CDATA[Analisis Spasial Temporal Perubahan Tutupan Lahan di Sekitar Waduk Pendidikan Diponegoro menggunakan Data Google Earth ]]>
<![CDATA[Astuty, Yulia Indri]]>;
<![CDATA[Wibowo, Adi]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.05
<![CDATA[The Diponegoro Education Reservoir is located in Tembalang District, Semarang City, Central Java Province. This reservoir was built for academic purposes and also to control floods around its neighbourhood. Semarang City has a high level of floods vulnerability. Located in the northern part of Java Island which is close to the Java Sea added with limited land availabilty and increased number of human population, make Semarang City is prone to flood. Based on data from the Central Statistics Agency, in 2007 the population in Semarang City was around 1.45 million people, in 2015 it rose to 1.59 million people, and in 2021 it will again increase to 1.65 million people. This increase in population cause various spatial problems that have an impact on flood vulnerability, one of which is the problem of land use. Therefore, a land cover analysis around the Diponegoro Education Reservoir is needed. This study conducted a temporal spatial analysis of land cover for 2007, 2015 and 2022 using Google Earth data. The method used is on screen digitization to obtain 3 classes of land cover classification, namely bodies of water, built-up land and non-built-up land. The hope is that the results of this research can present land cover data around the Diponegoro Education Reservoir in 2007, 2015 and 2022 as input to policy makers regarding spatial planning and disaster for sustainable development.]]>
<![CDATA[Model Learning by Doing terhadap Kemampuan Literasi Bencana Konteks Gempabumi di MTS Negeri 1 Pulau Morotai ]]>
<![CDATA[Amelia, Risky]]>;
<![CDATA[Hasmawati]]>;
<![CDATA[Marwis]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.08
<![CDATA[Morotai Island has a high earthquake hazard potential, but it is not matched by high regional capacity in disaster management. Areas with high potential hazards and vulnerable community conditions have a high potential for disaster risk. So it is necessary to do Disaster Risk Reduction (DRR) from all sectors, one of which is through education by increasing disaster literacy. The purpose of this study was to determine the effect of the learning by doing model on disaster literacy skills in the context of the earthquake at MTs Negeri 1 Morotai Island. The research approach used a quasi experiment design with a pretest-postest control group experiment design. Data analysis with parametric statistics for hypothesis testing is analysis of covariance (Anacova) using SPSS 22 for windows with a significance level of 0.05 which was previously carried out Normality test and Homogeneity test. The results of this study indicate that there is a difference in the effect of learning between the learning by doing model and conventional learning on disaster literacy skills in the context of the earthquake with a Sig value. 0,00.]]>
<![CDATA[Data Pesawat Udara Tanpa Awak Untuk Pendukung Analisis Dinamika Pesisir dan Erosi Pantai: Studi Kasus Pantai Pandansimo, Bantul, Daerah Istiwewa Yogyakarta ]]>
<![CDATA[Fatchurohman, Hendy]]>;
<![CDATA[Indrawati, Like]]>;
<![CDATA[Ningtiyas, Iswanti Rahayu]]>;
<![CDATA[Nadhira, Nur Anisa]]>;
<![CDATA[Meliyasari, Sasvita Gevi]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.04
<![CDATA[The coastal area is one of the most vulnerable areas to the threat of disaster due to the acceleration of climate change. One of the almost universal threats in coastal areas worldwide is coastal erosion. The coastal area of Bantul District, Special Region of Yogyakarta, is one of the areas that is quite severely affected by coastal erosion. This research aims to (1) determine the dynamics of the coastal area in the Pandansimo Beach area; (2) map the rate of abrasion at Pandansimo Beach, and (3) determine the leading causes of the coastal erosion that occurs. High-resolution Pleiades satellite data with a 50cm spatial resolution is used to determine the temporal changes in the coastline. In addition, satellite imagery from Google Earth is also used for the analysis from 2010-2021. The changes in the coastline are calculated using the DSAS software. Detailed morphological data was obtained from the acquisition of aerial photos using a multirotor unmanned aircraft. Based on the analysis, it was found that the process of coastal erosion dominated the dynamics of the coastal area. The average coastline regression value was recorded at 2.46 meters/year. Hydrodynamic and morphodynamic factors such as wind and wave forces, diminishing of fluvial sediment supply, and climate change are believed to cause coastal erosion.]]>
<![CDATA[Literasi informasi mitigasi bencana banjir terhadap kesiapsiagaan bencana masyarakat di desa bulubonggu kecamatan dapurang ]]>
<![CDATA[Novarita, Amalia]]>;
<![CDATA[Samsul]]>;
<![CDATA[Widyastuti]]>;
<![CDATA[Nisa', Zumrotin]]>;
<![CDATA[Ismail]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.06
<![CDATA[Bulubonggu Village is one of the villages that is often affected by floods, this is proven in 2020 the flood height reached an average of 1-2 m. The village is close to the watershed and has a flat land topography. This flood disaster caused several people's houses and agricultural land to fail crops. This happened due to the lack of understanding of disaster information literacy by the people of Bulubonggu village. This research uses qualitative methods with a spatial approach. The research subject of the Bulubonggu village community. Data collection techniques and instruments are carried out through observation, and interviews. Qualitative descriptive data analysis techniques. The results are a total of 29 people or 36.25% of understanding of disaster information literacy in the Bulubonggu village community was in the medium category, a total of 32 people or 40% had an understanding of disaster information literacy in the community in the low category, and a number of 35 people or 43.75% had an understanding of disaster information literacy in the very low category in the Bulubonggu village community]]>
<![CDATA[Perbandingan Algoritma Classification and Regression Tree (CART) dan Random Forest (RF) untuk Klasifikasi Penggunaan Lahan pada Google Earth Engine ]]>
<![CDATA[Al Farikhi, Faiz]]>;
<![CDATA[Pramono, Retno Widodo Dwi]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.09
<![CDATA[Land Use and Land Cover (LULC) change are increasing along with the population growth and their activity-followed. Quick and accurate analyses are neded to support the land use management. One of the effective and accurate platforms to generate LULC classification maps are Google Earth Engine (GEE), a cloud-based geospatial by utilising multi-spectral imagery and various processing algorithms.There are at least two LULC classifier methode using the decision tree algorithm: Classification And Regression Tree (CART) and Random Forest (RF). Differences classifier method are allowed to produce difference accuracy level. Few studies have explained how the accuracy level and effectiveness of these two methods.This research aims to identify an accurate and effective LULC classifier method by comparing the accuracy values of the two methods on Landsat 8 and Sentinel 2A imagery. The RF algorithm shows higher accuracy result than the CART algorithm on both Landsat 8 and Sentinel 2A images. The most optimal sample proportion is 60:40 with higher accuracy result on both image and classifier algorithm. The Landsat 8 imagery with sample proportion 60:40 shows the highest accuracy result (OA=93,94 and Kappa=0,927).]]>
<![CDATA[Pengaruh Peningkatan Lahan Terbangun Terhadap Penurunan Permukaan Tanah Di Kota Jakarta Utara Tahun 2014-2022 ]]>
<![CDATA[Syahidan, Muhammad Ihsan]]>;
<![CDATA[Andri, Andri Noor Ardiansyah]]>;
<![CDATA[Bahar, Syairul]]>
<![CDATA[ Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi ]]>
Publisher : <![CDATA[Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta ]]>
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DOI: 10.21009/spatial.232.07
<![CDATA[This study aims to determine the effect of increased built-up land on land subsidence in North Jakarta City in 2014-2022. This research uses a quantitative approach and descriptive research type. This research uses remote sensing and geographic information system (GIS) processing techniques using Landsat 8 and Sentinel 1 image data in 2014 and 2022, processing is done through the Google Earth Engine platform. In the variable increase in built-up land, the analysis was carried out using the supervised classification method into 2 classifications, namely built-up land and non-built-up land. And to get the value of land subsidence, DInSAR (Different Interferometric Synthetic Aperture Radar) analysis was conducted. Then to determine the value of the influence between the variable increase in built-up land (x) and the variable land subsidence (y), a simple linear regression analysis was carried out with the equation Y = 6.413 + 13.178X resulting in a significance value of 0.000 <0.05. The R Square value is 0.466 which means that there is an effect of increasing built-up land on land subsidence by 46.6%. While the tcount value obtained a result of 9.239 and the ttable value of 0.1966 and means tcount> ttable. So it can be concluded that Ha is rejected and Ha is accepted, which means that there is a significant influence between the increase in built-up land on land subsidence in North Jakarta City in 2014-2022]]>
