Jurnal Geografi, Edukasi dan Lingkungan (JGEL)

Ecological Restoration Capacity Of River Nakiyanja Wetland System From The Effects Of Motor Vehicle Washing Bays, Along River Nakiyanja, Central Uganda

2025-05-08T07:38:06+07:00

Washing bays are associated with a wide range of contaminants, which end up in the water bodies, thereby contaminating and degrading water quality, hence affecting aquatic ecosystems. The research sought to study the impact of the motor vehicle washing bays on the ecology of the River Nakiyanja wetland system and assess the capacity of the wetland system to restore the ecosystem health from the effects of the washing bays. Data analysis employed the one-way ANOVA test. The findings revealed that the cumulative effects of degraded water quality on benthic macroinvertebrate assemblages were supported by low South African Score System –Average Score Per Taxon (SASS-ASPT) indices, and the resultant poor ecological status of the river at impact sites was compared to sites upstream and downstream of the washing bay. The SASS and resultant ASPT at the sampling sites differed significantly at P<0.05. The study findings further reveal that the River Nakiyanja wetland was capable of restoring over 60% of the ecosystem’s health. The study concludes that the Nakiyanja wetland has a high restoration capacity from the effects of motor vehicle washing bays. There is, however, a need to regulate motor vehicle washing bay activities by enforcing environmental legislation related to wastewater disposal to protect the River Nakiyanja.

Analisis Produktivitas Padi Menggunakan UAV Multispektral Dan Support Vector Regression Dengan Optimasi Grid Search Di Balumbang Jaya, Bogor Barat

2025-06-22T20:09:19+07:00

Rice productivity is an important indicator of national food security, so an accurate analytical approach is needed to monitor and predict harvest yields spatially. This research aims to develop a rice productivity prediction model using remote sensing technology with Unmanned Aerial Vehicle (UAV) and Support Vector Regression (SVR) method. The study was conducted in Balumbang Jaya Village, West Bogor Regency, with a limited sample size of 30 rie field plots. Five vegetation indices were analyzed, including: Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Red Edge (NDRE), Optimized Soil-Adjusted Vegetation Index (OSAVI), and Leaf Chlorophyll Index (LCI). The research methodology integrated remote sensing techniques, multispectral image processing, and machine learning. The optimal SVR parameters were obtained through grid search with sigma=1 and cost=1. The Synthetic Minority Over-sampling Technique (SMOTE) was applied in initial data clasification stage to balance the productivity class distribution, although this study focused on regression. The results show that the SVR model with Radial Basis Function (RBF) kernel can explain 87.6% of rice productivity variability with a Root Mean Squared Error (RMSE) of 0.29 ton/ha. The findings confirm the effectiveness of a multidisciplinary approach in developing accurate and innovative rice productivity prediction models. This model has the potential to be used as a decision-making tool in agricultural land management that is more efficient and responsive to environmental variability

Oil Tanker Trucks And Their Impact On The Fluidity Of Road Transport On The International Highway: A Case Study From International Highway In Iraq

2025-06-24T08:17:18+07:00

The growing dependence on oil tanker trucks for transporting petroleum products along Iraq’s International Highway has raised major concerns regarding traffic fluidity, road safety, and infrastructure resilience. This study investigates the specific impact of these heavy vehicles on traffic congestion, speed reduction, and road surface deterioration. The research aimed to: (1) analyze how oil tanker trucks affect traffic flow in terms of congestion, delays, and speed variation; (2) evaluate the capacity and condition of road infrastructure under heavy vehicle pressure; and (3) recommend effective traffic and infrastructure management strategies. A mixed-methods approach was employed, combining GPS tracking, ITS-based traffic monitoring, radar speed detection, and manual vehicle counts, along with surveys and interviews conducted with truck drivers, road users, and transport authorities. The results show that oil tanker trucks reduce the average vehicle speed from 75 km/h to 40–50 km/h, increase travel delays by up to 25%, and significantly accelerate pavement damage, particularly near toll booths and refueling stations. Stakeholder feedback revealed a consensus on the need for immediate interventions. The study recommends implementing dedicated truck lanes, time-based truck movement restrictions, and investment in intelligent transportation systems (ITS) to enhance traffic efficiency and minimize infrastructure wear. These findings offer vital insights for improving transport policy, road safety, and long-term highway sustainability in Iraq.

Analisis Interaksi Cross Equatorial-Northerly Surge Dan Southerly Surge Pada Periode Madden-Julian Oscillation Terhadap Dinamika Atmosfer Pada Saat Musim Dingin Boreal Di Pulau Jawa

2025-06-28T11:10:39+07:00

A surge is an atmospheric dynamic event characterised by the intrusion of stronger-than-normal winds, bringing air from high latitudes to low latitudes. There are two surges that cross the Indonesian equator: the Cross Equatorial Northerly Surge (CENS) and the Southerly Surge (SS). This study examines the influence of the interaction between CENS, SS, and the Madden-Julian Oscillation (MJO) on atmospheric dynamics in Java during the 2014–2023 boreal winter season. This study provides insights into how global and mesoscale atmospheric phenomena influence weather patterns in the western Maritime Continent, especially on the island of Java. The CENS and SS indices were identified using meridional wind data, while the MJO index was calculated based on the RMM amplitude. Rainfall, Outgoing Longwave Radiation (OLR), and moisture transport data were analyzed using Climate Data Operator (CDO) software and bootstrap significance testing. The results indicate that active MJO significantly enhances rainfall over Java Island during interactions with CENS, while interactions with SS predominantly affect the eastern part of the island. When MJO is inactive, the impact patterns of CENS and SS on local atmospheric dynamics vary. Negative OLR anomalies and increased moisture transport highlight MJO's role in amplifying convective activity. The interaction between CENS, SS, and MJO has increased atmospheric instability in several areas of Java. SS has contributed to a reduction in rainfall in parts of Java.

Pemantauan Limbah Industri Tahun 2020-2022 Menggunakan Google Earth Engine Di Perairan Pengambengan, Kabupaten Jembrana

2024-11-24T06:40:03+07:00

These industrial activities produce waste that has the potential to pollute waters, which has a negative impact on the environment and public health. One type of water pollution is Total Suspended Solid (TSS) with the number of undissolved particles measuring less than 0.004 mm to 1 mm. The purpose of this study is to determine and analyze the level of industrial waste pollution in Pengambengan Waters in 2020 to 2022 using Google Earth Engine. The method used in analyzing data uses the Google Earth Engine platform with sentinel-2 imagery, then in obtaining total suspended solid results using the Laili (2015) algorithm conducted in a case study of Poteran Waters, East Java. The results of industrial waste monitoring can be seen that the miminal suspension results in Pengambengan Waters are 16.1296 mg/L to a maximum of 20 mg/L while in the second class, the total suspended solid reaches 22.0348 mg/L from a maximum total of 40 mg/L. This suspension result is still relatively low due to the classification class only reaching class two. The absence of areas that fall into class 3 and above indicates that the level of pollution has not reached critical levels.

Pendekatan STEM Dalam Meningkatkan Kreativitas Pembelajaran Ilmu Geografi Bagi Peserta Didik

2025-06-22T21:39:30+07:00

One of the concepts that need to be mastered by students at the high school level is the concept of solving a problem in learning geography. However, in fact, for the case of students at SMA Widya Nusantara Bekasi, especially in class X IPS 1, many still have difficulty in designing concepts in solving problems in learning geography, making it difficult for students to develop their creativity in solving problems in learning geography. This study is intended to stimulate students' creativity in solving problems so that they can develop their level of knowledge in learning geography. The method that will be used is to take a STEM (Science, Technology, Engineering, and Mathematics) approach through the PBL (Problem Based Learning) model with qualitative data analysis of interactive models to place students in direct problem situations to be able to be active in finding solutions and think critically. From the model applied, researchers found changes in students' way of thinking in solving problems by conducting group discussions, students become active and exchange ideas in determining solutions in solving problems and can utilize developing technology in solving problems.

Dinamika Tingkat Kecukupan Pangan Di Kabupaten Subang Jawa Barat

2025-06-07T18:28:51+07:00

Food problems are still a hot issue on the agenda in various countries in the world. This is the basis for determining SDGs in goals 2 and 12, namely eliminating hunger and balanced consumption and production. As a basic human need to live, food availability is a top priority in overcoming food shortages. The increase in population has caused a decrease in the area of agricultural land as a producer of food. The impact that arises is a decrease in agricultural production, thus threatening the level of food sufficiency. The purpose of this study is to examine and analyze the trend of agricultural land carrying capacity and to analyze the spatial level of rice food sufficiency in Subang Regency in 2019-2023. The research method was carried out descriptively quantitatively based on secondary data analysis. There are 3 categories of agricultural land carrying capacity (1, 2 and 3). Around 83% (25 sub-districts) in Subang Regency are included in category 1 or high agricultural land carrying capacity and around 13-16% (4-5 sub-districts), the carrying capacity level is medium and low. The level of food sufficiency is known by knowing the amount of rice availability in each sub-district. Spatially and temporally presented with a map with the results that there is a positive correlation between the carrying capacity of agricultural land and the level of rice food sufficiency. Districts with high agricultural land carrying capacity have a high food sufficiency index (rice availability is surplus) and vice versa. The area of agricultural land and the area of harvest are the main factors in determining the high and low carrying capacity of agricultural land and the level of rice food sufficiency.

Evaluasi Kualitas Airtanah Sebagai Sumber Air Minum Di Sekitar Pabrik Gula Camming Kabupaten Bone

2025-06-07T16:53:59+07:00

Groundwater quality is a critical factor in ensuring the availability of safe drinking water for communities. This study aims to evaluate the feasibility of shallow groundwater quality in dug wells around the Camming Sugar Factory. The evaluation results are used to analyze the influence of land use on groundwater quality. This research employs a quantitative method with a descriptive approach. The data obtained are interpreted using a scoring method based on Sturges' rule to classify groundwater quality into several categories. Sampling was conducted to measure the physical, chemical, and biological parameters of shallow groundwater. The results were compared with drinking water quality standards issued by the Ministry of Health of the Republic of Indonesia. The results of the analysis show that the quality of groundwater in Wanuawaru Village is generally safe for human consumption based on physical parameters, with temperatures between 27 and 29°C, color values of 5 to 15 TCU, turbidity of 0.28 to 10.1 NTU, and TDS of around 900 mg/l. However, for chemical parameters, it was found that nitrate levels were below the acceptable limit. Conversely, the iron concentration in Sample 2 exceeded the permissible limit, and water hardness levels in all three samples were significantly higher than the standard. The pH levels fell within the acceptable range for drinking water, and BOD values were well below the threshold. Biological analysis indicated that all samples contained E. coli bacteria exceeding acceptable limits, signaling significant biological contamination. These findings highlight the need for routine monitoring and special attention to iron concentrations and water hardness. Additionally, the implementation of standard-compliant septic tank construction is necessary to prevent bacterial contamination, ensuring that shallow groundwater in the study area meets the standards for drinking water sources.

Transformasi Kawasan Bandara Internasional Lombok Berdasarkan Kajian Spasial-Temporal Menggunakan Google Earth Pro

2025-06-24T08:33:42+07:00

The phenomenon of urbanization and the construction of Lombok International Airport since 2011 has driven land conversion that has triggered environmental degradation in the surrounding area. The purpose of this study was to identify changes in land use using Google Earth Pro spatially-temporally around the Lombok International Airport area using Post-Classification Comparison method. The research method used is data analysis based on secondary data using image recording from the Google Earth Pro platform in 2013, 2018 and 2022. Spatial processing and analysis using ArcMap 10.8 by carrying out the Visual on Screen Digitization stage. The results of this study indicate that around the Lombok International Airport area there has been a change in land use due to the construction of Lombok International Airport which began in 2011. Fluctuating changes in 2013, 2018 and 2022 occurred at the research location with built-up land variables of 832.355 ha, unbuilt land of 5,339,792 ha, vegetation of 354.763 ha and roads of 0.1556 ha. The results of the Post-Classification Comparison in the research year used with land use and cover on the type of built-up land of 0.638358 ha, unbuilt land 5.339792 ha, roads 0.1546 ha and vegetation of 0.228039 ha. With the area of unbuilt land that is still dominant, policy makers are expected to maintain the condition of the landscape for the sustainability of the ecosystem, human livelihoods, and disaster mitigation.

Pengaruh ENSO Dan IOD Terhadap Curah Hujan Di Pesisir Dan Pegunungan: Studi Kasus Tanjung Priok, DKI Jakarta, Dan Puncak, Jawa Barat

2025-06-22T20:40:26+07:00

As a tropical country, Indonesia has different rainfall distribution and characteristics, influenced by climate variability, including the El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) phenomena. This study aims to analyze the influence of ENSO and IOD on rainfall, temperature, and humidity in coastal and mountainous areas of Jabodetabek, using observational data from Tanjung Priok Maritime Meteorological Station and Citeko Meteorological Station for the period 1994-2023. The analysis was conducted seasonally using linear regression method to see the trend of climate parameters and Pearson correlation to measure the relationship between climate phenomena and meteorological parameters. The results showed that the ONI index as an indicator of ENSO was in the moderately strong to very strong category in coastal and mountainous areas. In the Positive IOD phase, the correlation with rainfall, temperature, and humidity shows a moderately strong to very strong influence, while in the Negative IOD phase, the impact is weaker. The study also revealed that the El Nino phenomenon tends to reduce rainfall and increase temperatures in coastal areas, while La Nina has more effect on increasing rainfall in mountainous areas. Overall, the ENSO and IOD phenomena have significant impacts on climate variability in these two regions, with differences in influence depending on the phase of each phenomenon.

Strategi Inovatif Agrowisata Berbasis Komunitas Di Sentra Bawang Merah, Kecamatan Rejoso, Kabupaten Nganjuk

2025-06-22T21:31:24+07:00

Nganjuk Regency, as the primary center of shallot production in East Java, holds significant potential for the development of community-based agrotourism. This study aims to analyze the agrotourism potential in Kampung Bawang Merah, Rejoso District, to formulate management strategies involving active community participation, and to examine the economic, social, and educational impacts of its development. This research employs a descriptive qualitative approach supported by quantitative data in the form of spatial analysis of shallot production from 2016 to 2024 using ArcGIS software. The analysis was carried out through thematic mapping to identify areas with high agrotourism potential based on production data. The findings indicate that Rejoso District possesses comparative advantages, including fertile land quality, well-established irrigation infrastructure, and high shallot production. The proposed strategies include product diversification (such as shallot flour and rainbow crackers), community training to enhance technical and entrepreneurial skills, digital marketing through e-commerce platforms, and the development of tourism infrastructure, including educational galleries and souvenir outlets. The study concludes that the development of community-based agrotourism can increase household income, create employment opportunities, preserve traditional agricultural culture, and positively contribute to the regional economy. Recommendations emphasize the importance of collaboration between the government, local communities, and the private sector to ensure program sustainability and position Kampung Bawang Merah as a leading educational agrotourism destination in East Java.

Manajemen Risiko Bencana Gempa Bumi Berbasis Analytical Hierarchy Process Di Wilayah Rawan Gempa Bumi: Studi Kasus Provinsi Banten

2025-04-22T06:46:57+07:00

Earthquake disasters are feared by many people, especially people who live in disaster-prone areas such as coasts, mountains and other vulnerable areas. The physical threat posed by earthquake disasters, the psychological and economic impacts arising from loss of life, destruction of property, and social disruption are also enormous. Disaster risk management is important because it is expected to minimize threats, reduce vulnerability and increase the capacity of threatened areas. This research is to find the best alternative in strategic decision making that can be used in implementing earthquake disaster risk management with variable factors of danger, vulnerability and increasing community resilience. This research uses a qualitative method which processes the data through the Analytical Hierarchy Process (AHP) with a case study of earthquake-prone areas in Banten Province. The research sites were carried out in Serang Regency, Cilegon Regency, Pandeglang Regency and Lebak Regency, Banten Province, which are earthquake-prone areas. Improving earthquake disaster management infrastructure is a top priority in reducing risks due to earthquake disasters because it can minimize threats, reduce vulnerability and increase the capacity of threatened areas, especially in the Banten Province area by improving the quality of public facilities, evacuation facilities and infrastructure as well as regulations regarding improving the quality of buildings. residences and industries that are standardized to be earthquake resistant.

Pendekatan Spasial Cellular Automata-Markov Chain Untuk Prediksi Tutupan Lahan Dan Analisis Bahaya Banjir

2025-06-22T21:22:48+07:00

Land cover change is an important environmental issue because it affects the hydrological cycle and increases the risk of flooding, especially in urban areas experiencing rapid urbanization. This study aims to predict land cover change and measure its impact on flood hazard in the Surakarta Metropolitan Area in 2030 and 2040. The method used is a combination of Cellular Automata-Markov Chain (CA-MC) to predict land cover change and flood hazard analysis methods. The results of the study show that in the 2020-2030 period, the area with the highest flood hazard increased by 3.42 hectares, while in the 2030-2040 period it increased by 1.35 hectares. This increase in flood hazard is mainly due to significant deforestation. In the period 2020-2030, deforestation of forests into built-up land and agricultural land reached 29,530.89 hectares and 6,224.76 hectares, while in the period 2030-2040, deforestation of forests into built-up land and agricultural land amounted to 25,109.73 hectares and 8,651.16 hectares. The conclusion of this study is that continued deforestation reduces the roughness of the land surface, thereby expanding the flood hazard area. Therefore, a more sustainable land management policy is needed to reduce the negative impact on the danger of flood disasters in the future.

Rainfall Extremes In Northern And Southern Central Java Coasts: Comparative Study Of ENSO And IOD Influences

2025-06-22T20:26:44+07:00

The northern and southern coastal regions of Central Java frequently experience hydrometeorological disasters due to extreme rainfall. The relationship between extreme rainfall in these two areas is influenced by fluctuations in the Indian Ocean Dipole (IOD) and the El Niño-Southern Oscillation (ENSO). This study aims to compare the characteristics of extreme rainfall in the northern and southern coastal regions of Central Java in relation to ENSO and IOD phases. The analysis applies extreme rainfall indices (RX1D, RX5D, CDD, CWD) and Spearman-rank correlation to understand the influence of these climate phenomena and indices. The results show that RX1D and RX5D values are higher during La Niña and negative IOD phases, especially in the rainy season, while El Niño and positive IOD phases reduce their intensity. CWD is longer during La Niña, but positive IOD decreases the number of rainy days, particularly during the dry season. In contrast, CDD increases significantly during El Niño and positive IOD, which intensify dry conditions, especially along the southern coast. Spearman-rank correlations indicate a negative relationship between ENSO/IOD and RX1D, RX5D, and CWD, and a positive relationship with CDD, with stronger impacts during the dry season and second transitional period (SON), as well as varying characteristics between the two coasts. These findings underscore the necessity for adaptation and mitigation strategies in response to extreme rainfall characteristics, particularly when ENSO and IOD phases coincide, with stronger impacts observed along the southern coast.

Prediksi Perubahan Penggunaan Lahan Tahun 2034 Dengan Permodelan Cellular Automata Di Kabupaten Semarang

2025-06-30T21:49:02+07:00

Land use changes reflect the dynamic growth of a region driven by continuously evolving human activities. Semarang Regency, located in Central Java Province, is currently experiencing significant land use changes due to suburbanization, population growth, and increasing population density each year. This study aims to predict land use changes in Semarang Regency as a basis for identifying potential non-compliance with the RTRW, referring to the renewal of the RTRW before the end of its validity period.To analyze these changes, a spatial approach using Geographic Information System (GIS) and Remote Sensing is essential to map land use in 2013, 2018, and 2024. This analysis is further integrated with Cellular Automata (CA) modelling and logistic regression to identify factors influencing land use changes and to predict land use patterns in Semarang Regency through 2034. The study predicts that by 2034, built-up land will expand by 9.315,83 hectares, while agricultural land will increase by 9.054,79 hectares. Conversely, forest and conservation land are projected to decrease by 18.433 hectares, and water bodies will shrink by approximately by 53,94 hectares. The results of this prediction can be used as a reference in preparing spatial planning policies that are more adaptive and in line with field conditions.