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Urban Heat Island Assessment using Remote Sensing Data in West Java, Indonesia: From Literature Review to Experiments and Analyses N. Nandi; M. Dede
Indonesian Journal of Science and Technology Vol 7, No 1 (2022): IJOST: VOLUME 7, ISSUE 1, April 2022
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v7i1.44146

Urban heat island (UHI) is a significantly increasing temperature that occurs in the urban region due to urbanization and anthropogenic activities. The UHI represents environmental quality decrease and able to change a microclimate in the long term. It phenomenon can be estimated using multi-temporal remote sensing imagery data. This study aims to analyze the spatial dynamics of UHI in the urban region of West Java from 1998 to 2018. We only used remote sensing data from different datasets. Information of land-surface temperature is extracted from Landsat-5 TM and Landsat-8 OLI images using radiative transfer equation which validated using MODIS data in the same period. This study showed that UHI intensity in the urban region of West Java reach 5.11oC in 2018. For 20 years, the land-surface temperature increased to 4.44oC. The UHI distribution is concentrated in the central business district, industrial area, harbor, terminal, airport, and traffic jam zone. The UHI significantly increased in Depok and Cimahi, which are known as satellite cities for the surrounding megapolitan (Jakarta and Bandung Raya). This model has high validity result with a correlation value of 0.74. The UHI management is important to strengthen urban resilience in the environmental field through green open space, green belts, roof gardens, land use and land cover formal direction, and the use of high albedo materials to build construction.

Unveiling Heavy Metal Pollution in Soils and Rice Crops (Oryza sativa L.) Cultivation Nana Danapriatna; Moh. Dede; Millary Agung Widiawaty; Hardini Puspitaningrum; Ridwan Lutfiadi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.730-738

The landscape changes through the increasing built-up areas (settlements and industrial) have a potential impact on reducing the quality of agricultural land. Waste from anthropogenic activities (industrial and domestic) is the main source of heavy metals that can affect rice production in the fields. This study examines the quality changes of paddy fields (Oryza sativa L.) polluted by wastewater in Muara Bakti Village, Bekasi Regency. Wastewater's impact on paddy fields is known through heavy metal contamination analysis in soil and rice plants. Chemical analysis of soil, water and plants was completed by the Balai Penelitian Tanaman Sayuran (Balitsa) Laboratory, West Bandung. The results showed that heavy metal levels such as lead (Pb) and cadmium (Cd) in the paddy soil samples were above the threshold in soil, respectively more than 25 mg/l and 0.01 mg/l. In contrast, the rice plant samples, it was identified as containing heavy metals such as Cd and chromium (Cr). Pb content was not detected in the rice plants. Soil in Muara Bakti Village contained optimal nutrients that are still suitable for agriculture. However, heavy metal content detected in soil samples and rice plants requires special handling to prevent endangering the agroecosystem and human health. Keywords: Agroecosystem, Heavy metals, Paddy fields, Soil pollution, Waste

Utilizing Satellite Imagery for Seasonal Trophic Analysis in the Freshwater Reservoir Rifa Rachmadita; Ana Widiana; Ade Rahmat; Sunardi Sunardi; Moh Dede
Journal of Multidisciplinary Applied Natural Science Vol. 4 No. 1 (2024): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.188

Eutrophication, an aquatic problem that impacts water quality and ecosystems, can be addressed through technological developments utilizing satellite imagery to analyze the trophic status of water. This study aimed to determine the trophic status of the freshwater reservoir in different seasons using satellite imagery. Water quality data were obtained from field surveys (11 samples) during the wet and dry seasons in Cirata Reservoir (Indonesia) while the remote sensing images were obtained from the Landsat-8 OLI. Trophic status refers to Carlson's Trophic State Index consisting of two parameters named chlorophyll-A and water transparency. This study found that satellite imagery could estimate seasonal trophic information. During the wet season, the algorithms determined information about chlorophyll-A (48%) and transparency (35%). Whereas during the dry season, the algorithms successfully estimated both information at 59% and 21%, respectively. Unfortunately, the Landsat-8 OLI had limitations for estimating total phosphorus. From these two parameters, the trophic status in the Cirata Reservoir showed moderate (wet season) and mild (dry season) eutrophic. Cirata Reservoir has a higher trophic level during the wet season since it has more surface water supply with lots of pollutants.

Modeling Land Use and Land Cover Dynamic Using Geographic Information System and Markov-CA Millary Agung Widiawaty; Arif Ismail; Moh. Dede; N. Nurhanifah
Geosfera Indonesia Vol. 5 No. 2 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i2.17596

The need for built-up area increases along with a rise in population growth in many regions. This phenomenon leads to a tremendous change in agricultural land and decrease in the environmental carrying capacity. Therefore, this study aims to determine Land Use and Land Cover (LULC) dynamics and the drivers used for its modeling in 2030. This is a quantitative study, which uses the dynamic models of Geographic Information System (GIS) and Markov-CA. Data were obtained from the CNES-Airbus satellite imageries in 2009, 2014, and 2019 by using Google Earth at East Cirebon. The drivers include road density, distance to CBD, total population, distance to settlements, land slope and distance to rivers. The interaction between drivers and LULC change was analyzed using binary logistic regression. The results showed that the rise of built-up area reached 36.4 percent and causes the loss of 0.78 km2 of agricultural land from 2009 to 2019. The LULC simulation in 2030 shows an increase in the built-up area by 82.85 percent with probabilities above 0.6. Meanwhile the significant drivers for changes include road density and distance to settlements. In conclusion, efforts to reduce LULC change in agricultural land into built-up area is by re-strengthening spatial planning-based environmental awareness for the community. Keywords: Built-up area; GIS; LULC; Markov-CA; Spatial modeling Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Fear of Crime and Post-Traumatic Stress Disorder Treatment: Investigating Indonesian’s Pedophilia Cases Nurbayani, Siti; Dede, Moh; Malihah, Elly
Jurnal Ilmiah Peuradeun Vol. 10 No. 1 (2022): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v10i1.657

Pedophilia is a part of child abuse that tends to occur in children surrounding environment. Pedophiles are not only about trauma but create a sexual predator cycle when the victims are not managed properly. This study aimed to analyze the fear of crime and post-traumatic stress disorder treatment in pedophilia cases in Indonesia. As qualitative research, data was obtained using observation and interview activities for one year continuously for each area of interest. This study was held in three regions in Java, Indonesia, which were specific locations of the victims’ residence in Sudajaya Hilir (Sukabumi City, West Java), Cintanagara (Garut Regency, West Java), and Sukamanah (Tangerang Regency, Banten). This study showed that fear of crime from the victims' parents and families is still low. It can be seen from those who tend to give full trust to the suspects because closely and consider like good people. In Garut and Sukabumi's cases, inappropriate post-traumatic disorder treatment caused the victims to transform into sexual predators. Pedophilia made the fear of crime in society, where the suspects have similar images as good and undangerous people for children. Not ideal post-traumatic stress disorder treatment is proven to cause the sexual predator cycle.

Social Disorganisation and Feeling Safe: Insights from Diverse Scottish Neighbourhoods Dede, Moh.; Widiawaty, Millary Agung; Malihah, Elly; Sunardi, Sunardi; Wulandari, Puspita; Susiati, Heni; Oktavia, Dina
JAMBURA GEO EDUCATION JOURNAL Volume 6, Issue 2 (2025): Jambura Geo Education Journal (JGEJ)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgej.v6i2.32405

Neighbourhood safety remains a critical urban challenge, with social disorganisation theory positing that structural factors like poverty and residential instability weaken community cohesion and amplify crime perceptions. While Scotland has seen declining crime rates, persistent violence in deprived areas, and emerging disorder in affluent communities necessitate safety measures across socioeconomic situations. This study examines how social disorganisation influences perceptions of safety across affluent and deprived neighbourhoods in Edinburgh and Glasgow, Scotland. Using a cross-sectional survey of 610 residents, we employed multiple regression and ANOVA models to analyse six key indicators of social disorder (noise, vandalism, verbal abuse, burglary, unsupervised children, and physical assault) against self-reported feelings of safety. Data were transformed using the Item Response Theory and Rasch Model to enable parametric analysis, with cross-validation confirming model robustness (R² 0.92). Results revealed that verbal abuse (β = -0.565) and physical assault (β = -0.499) were the strongest predictors of reduced safety, with deprived areas exhibiting heightened vulnerability. Counterintuitively, affluent neighbourhoods reported higher perceived disorder for vandalism and unsupervised children, suggesting socioeconomic differences in reporting behaviours or tolerance thresholds. City-specific variations emerged: vandalism significantly impacted safety in Glasgow’s deprived areas but not Edinburgh’s, highlighting the need for locally tailored interventions. The findings reinforce social disorganisation theory while demonstrating its nuanced application across socioeconomic contexts. Urban safety research by incorporating minor incivilities often overlooked in crime statistics, offering evidence for holistic approaches to neighbourhood security.

Spatial dynamics model of land use and land cover changes: A comparison of CA, ANN, and ANN-CA Dede, Moh.; Asdak, Chay; Setiawan, Iwan
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 1 (2022): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i1.2339

Land use and land cover (LULC) changes through built-up area expansion always increases linearly with land demand as a consequence of population growth and urbanization. Cirebon City is a center for Ciayumajakuning Region that continues to grow and exceeds its administrative boundaries. This phenomenon has led to peri-urban regions which show urban and rural interactions. This study aims to analyze (1) the dynamics of LULC changes using cellular automata (CA), artificial neural network (ANN), and ANN-CA; (2) the influential factors (drivers); and (3) change probability in the period 2030 and 2045 for Cirebon’s peri-urban. We used logistic regression as quantitative approach to analyze the interaction of drivers and LULC changes. The LULC data derived from Landsat series satellite imagery in 1999-2009 and 2009-2019, validation of dynamic spatial model refers to 100 LULC samples. This research shows that LULC changes are dominated by built-up area expansion which causes plantations and agricultural land to decrease. The drivers have a simultaneous effect on LULC changes with r-square of 0.43, where land slope, distance from existing built-up area, distance from CBD, and accessibility are significant triggers. LULC simulation of CA algorithm is the best model than ANN and ANN-CA based on overall accuracy and overall accuracy (0.96, 0.75, 0.73 and 0.95, 0.66, 0.66 respectively), it reveals urban sprawl through the ribbon and compact development. The average probability of built-up area expansion is 0.18 (2030) and 0.19 (2045). If there is no intervention in spatial planning, this phenomenon will decrease productive agricultural lands in Cirebon's peri-urban.

Unveiling Heavy Metal Pollution in Soils and Rice Crops (Oryza sativa L.) Cultivation Danapriatna, Nana; Dede, Moh.; Widiawaty, Millary Agung; Puspitaningrum, Hardini; Lutfiadi, Ridwan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.730-738

The landscape changes through the increasing built-up areas (settlements and industrial) have a potential impact on reducing the quality of agricultural land. Waste from anthropogenic activities (industrial and domestic) is the main source of heavy metals that can affect rice production in the fields. This study examines the quality changes of paddy fields (Oryza sativa L.) polluted by wastewater in Muara Bakti Village, Bekasi Regency. Wastewater's impact on paddy fields is known through heavy metal contamination analysis in soil and rice plants. Chemical analysis of soil, water and plants was completed by the Balai Penelitian Tanaman Sayuran (Balitsa) Laboratory, West Bandung. The results showed that heavy metal levels such as lead (Pb) and cadmium (Cd) in the paddy soil samples were above the threshold in soil, respectively more than 25 mg/l and 0.01 mg/l. In contrast, the rice plant samples, it was identified as containing heavy metals such as Cd and chromium (Cr). Pb content was not detected in the rice plants. Soil in Muara Bakti Village contained optimal nutrients that are still suitable for agriculture. However, heavy metal content detected in soil samples and rice plants requires special handling to prevent endangering the agroecosystem and human health. Keywords: Agroecosystem, Heavy metals, Paddy fields, Soil pollution, Waste

Integration of Participatory Mapping, Crowdsourcing and Geographic Information System in Flood Disaster Management (Case Study Ciledug Lor, Cirebon) Moh. Dede; Millary Agung Widiawaty; Galuh Putri Pramulatsih; Arif Ismail; Amniar Ati; Hendro Murtianto
Journal of Information Technology and Its Utilization Vol 2 No 2 (2019)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.2.2555

Ciledug Lor is a flood-prone area in Cirebon Regency. Flood disaster management can empower the community through participatory mapping and crowdsourcing activities. This study aims to analyze the level of floods, threats, vulnerabilities, capacities, risks and refuge locations in Ciledug Lor Village based on participatory mapping, crowdsourcing, and GIS. Various indicators of threat, vulnerability, and flood capacity are obtained from field surveys, open data and official data that have been given a value and weight which are then processed using overlay analysis to obtain flood risk parameters. Determination of refuge locations used network analysis to find out the route, distance, and effective time. The results analysis and modeling showed the average flood level in Ciledug Lor reached 2.27 meters. The refugee location for Dusun Pamosongan and Dusun Kampung Baru are to the north close to the railway tracks. Meanwhile, Dusun Karanganyar and Dusun Genggong are in the Ciledug Bus Terminal. In the future, participatory mapping, crowdsourcing, and GIS are expected to build awareness and resilience of disaster

UTILIZATION EOS PLATFORM AS CLOUD-BASED GIS TO ANALYZE VEGETATION GREENNESS IN CIREBON REGENCY, INDONESIA Moh. Dede; Millary Agung Widiawaty
Journal of Information Technology and Its Utilization Vol 3 No 1 (2020)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3257

Cloud-Based GIS development has been increasing rapidly since the need for big computing for online spatial data. Besides Google Earth Engine, there is actually another Cloud-Based GIS with similar features namely EOS Platform. This study aims to determine the EOS Platform utilization as a Cloud-Based GIS to Analyze Vegetation Greenness in Cirebon Regency, Indonesia. The selection of research location based on the various phenomenon of development in the Cirebon Regency. Vegetation greenness analysis using the NDVI algorithm which available on EOS Processing and Landsat series images are obtained from Land Viewer. Changes in vegetation greenness were analyzed descriptively from NDVI values in two periods at each pixel in the same location. The results of the analysis with the EOS Platform show a decreasing vegetation greenness in the western and peri-urban areas caused by LULC changes. From this analysis, it is proven that EOS Platform can be used for effective and efficient satellite image processing. Even so, some EOS Platform products with BETA version status still show some obstacles related to integration between products.

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