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Environmental pollution is a common problem in cities and can increase the likelihood of flooding. The purpose of this study is to analyze environmental pollution as a cause of flooding in the Pekapuran Street area, Depok City. This study applies a descriptive method with a qualitative approach. Data were obtained through observation, documentation, and literature review. Based on the results of the study, it was found that the accumulation of household waste around the drainage channels causes obstruction of water flow, which triggers flooding during rain. In addition, the shallow, mud-filled, and poorly maintained drainage conditions increase the risk of flooding. Low levels of public awareness of environmental cleanliness are also factors that exacerbate the condition. This study concludes that flooding on Pekapuran Street is influenced not only by high rainfall, but also by environmental pollution and a suboptimal drainage system. Based on this, better waste management and drainage maintenance are needed to minimize the risk of flooding in the area.

Background:Landslides are a disaster that often occurs in hilly areas with high rainfall. The community's lack of knowledge about mitigation increases the risk of losses and casualties. This community service activity aims to improve the knowledge and preparedness of cadres and the community of Pargarutan Dolok Village in facing landslides through mentoring and counseling activities. The activity was carried out on May 25, 2026 in Pargarutan Dolok Village, East Angkola District, South Tapanuli Regency, targeting village cadres and the local community. Methods:The methods used included delivering material, interactive discussions, questions and answers, and distributing leaflets regarding the causes, signs, impacts, and mitigation steps for landslides. Evaluation was carried out through observations of participant participation and their ability to understand the material provided. The activity went well and received active participation from all participants. Results:The results of the observations showed an increase in participants' understanding of the causes, early signs, impacts, and actions that need to be taken before, during, and after a landslide occurs. The enthusiasm of the participants during the discussion also showed an increase in public awareness of the importance of disaster mitigation and preparedness. Conclusion: These findings indicate that landslide preparedness training is effective in increasing the knowledge, awareness, and preparedness of cadres and the community regarding landslide risks. This activity is expected to be the first step in strengthening community capacity and supporting the creation of disaster-resilient villages through ongoing disaster education.

Land-use changes dominated by impervious surfaces in residential areas reduce the natural infiltration capacity of the soil and increase surface runoff, which may lead to flooding and waterlogging. This study aimed to design a rainwater infiltration well system as an effort to reduce surface runoff in Samudera Afroza 3 Housing Estate, Jambi City. A quantitative approach was employed through field surveys, hydrological analysis, soil permeability testing, GIS-based land-use analysis, and infiltration well design in accordance with SNI 8456:2017 and SNI 03-2453-2002 standards. Rainfall analysis was conducted using maximum daily rainfall data from 2014–2023, applying several probability distributions, with the Gumbel distribution identified as the most representative model. The results revealed that the residential area covers 8,104 m², with 91.84% of the land occupied by built-up surfaces, resulting in limited natural infiltration capacity. The average soil permeability value of 0.00024 m/s indicates favorable conditions for the implementation of infiltration wells. Based on the design calculations, 41 Type III infiltration wells are required, providing a total storage capacity of 289.665 m³ and an infiltration discharge of 0.0919 m³/s. The proposed infiltration well system is capable of reducing runoff volumes by 15.044%, 12.486%, and 11.223% for 2-year, 5-year, and 10-year return periods, respectively. Therefore, infiltration wells can be considered an effective alternative for water conservation and runoff management in residential areas.

Rapid population growth in Sidoarjo Regency has triggered massive land-use changes, resulting in increased surface runoff and reduced performance of the drainage system. This study aims to evaluate the hydraulic capacity of drainage channels in the Pondok Sidokare Indah Housing area against design flood discharges with return periods of 2, 5, and 10 years. The method used is a descriptive quantitative approach, involving hydrological analysis using maximum daily rainfall data from 2015–2025 and hydraulic modeling of the existing channel along 350 meters. The frequency analysis results indicate that the Log Pearson Type III distribution is the most suitable method based on statistical parameters and the Smirnov-Kolmogorov goodness-of-fit test. The calculation of design flood discharge using the rational method yields values of 0.749 m³/s (2-year), 1.003 m³/s (5-year), and 1.164 m³/s (10-year). Meanwhile, the maximum capacity of the existing channel ranges only between 0.534 m³/s and 0.733 m³/s. The comparison between hydrological load and channel capacity shows that all observation points (Sta 0+000 to Sta 0+350) are in overflow condition, even for the lowest return period flood discharge. This condition confirms that the current channel dimensions are no longer adequate and require normalization to mitigate annual flooding in the area.

This article analyzes the recurring flash floods in North Konawe Regency which occurred in 2000, 2013, 2016, 2018, 2019, 2020, and 2021 as ecological disasters causally linked to three decades of natural resource exploitation through logging, oil palm plantations, and open-pit nickel mining. Using the dual framework of political ecology and environmental justice, this article argues that these disasters are not neutral natural events, but rather the product of a structured system of injustice: the indigenous Culambacu People and Tolaki People communities who were excluded from decision-making processes regarding extractive permits have borne the greatest burden of the destructive impacts of such exploitation. The most dramatic event was the 2019 flood that devastated Tapuwatu Village, causing losses amounting to Rp 674.8 billion and displacing 9,908 people. The findings demonstrate that the dominant government narrative framing the floods as “natural disasters caused by high rainfall” constitutes a strategic denial that obscures structural responsibility. Empirical data including rates of deforestation, exceeded river carrying capacity, and the chronology of concession expansion correlated with disaster escalation support the ecological disaster thesis. Persistent poverty amid abundant natural resource wealth confirms the condition of a “sacrifice zone,” characterized simultaneously by distributive, recognitional, and procedural injustices.

Climate change is a global issue that not only impacts the environment but also threatens a country's food security. Indonesia, as a country that relies heavily on the agriculture, fisheries, and livestock sectors, faces high vulnerability to climate change. This study aims to analyze the impact of climate change on the agriculture, livestock, and fisheries sectors. This study used a qualitative method with a literature study approach through data analysis derived from scientific journals, books, and institutional reports. The results of the study indicate that climate change has a significant impact on these three sectors through changes in weather, rainfall patterns, and extreme weather. The El Niño phenomenon can reduce agricultural production, reduce livestock productivity, and disrupt fishermen's catches. These conditions can disrupt national food availability and stability and can increase social and economic vulnerability of the community. Therefore, climate change can be seen as a non-traditional threat to Indonesia's food security, requiring sustainable adaptation efforts to maintain food security in the future.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

Flooding in Aceh has become a recurring phenomenon that cannot be understood solely as a natural disaster but also as a result of human activities within modern society. This study aims to analyze flooding in Aceh through the perspective of Ulrich Beck’s risk society theory, focusing on how modernization, environmental change, and development policies contribute to the production of risk. This research uses a literature review approach by examining scientific articles published between 2021 and 2026 from indexed national and international journals. The analysis was conducted thematically to identify patterns, similarities, and research gaps. The findings show that natural factors such as high rainfall and atmospheric conditions act as primary triggers, while human activities including land-use change, river sedimentation, and ineffective policies significantly intensify flood risks. Flooding is therefore categorized as a manufactured risk produced by modern development processes. In addition, the impacts are not limited to ecological damage but also affect social and psychological conditions of society. These results indicate that floods should be understood not only from a technical perspective but also from a social perspective. The study implies that flood management requires a comprehensive approach integrating environmental sustainability, social awareness, and evidence-based policy to reduce both the impact and sources of risk in a sustainable manner.

Accurate classification of rainfall intensity patterns is important for early warning systems, hydrometeorological risk assessment, and water resource management. Surface rain gauges have limited spatial coverage, so this study uses NOAA NEXRAD Level II radar data from the KTLX station in 2023. K-Means clustering was applied to identify rainfall intensity patterns from 30 randomly selected days, with scans stratified into four daily time intervals. Seven features were extracted from each radar sweep, including reflectivity statistics, convective and stratiform ratios, and rainfall coverage. The data were normalized and balanced before clustering. The optimal cluster count was determined through a combined evaluation of the Elbow Method, Silhouette Score, and Davies-Bouldin Index, yielding K=5 as the most representative configuration. Evaluation results demonstrated a Silhouette Score of 0.3871 and a Davies-Bouldin Index of 0.8599, indicating moderate cluster cohesion that reflects the inherent overlapping nature of rainfall intensity transitions in radar reflectivity data. The clusters represent rainfall regimes from non-precipitating conditions to intense convective events. These results support the use of K-Means for automated rainfall pattern recognition and flood forecasting applications. 

Background: Sambirejo is prone to landslides due to steep slopes and heavy rainfall, but community preparedness remains low due to limited awareness campaigns, the absence of emergency response teams, minimal reforestation, and a lack of knowledge about local disaster evacuation procedures. Objective: To determine the preparedness of residents in facing landslides in Dukuh Secang. Method: The method used was a direct survey with a sample size of 57 respondents and used Non- probability Sampling with the Purposive method. Results: The study shows that based on the characteristics of the respondents, the majority are young adults aged 26-35 years (26.3%), the majority are female with 33 respondents (57.9%), and the majority have a high school education (43.9%). The overall results indicate that the preparedness of residents in Dukuh Secang Jetis Sambirejo Sragen is in the “Very Prepared” category. The preparedness indicators showed a high level of knowledge (64.9%), policies and guidelines (94.7%), emergency plans (94.7%), warning systems (94.7%), and resource mobilization (91.2%). Conclusion: The preparedness of residents in facing landslides in Dukuh Secang, Jetis Sambirejo Village, Sragen is in the very ready category with a preparedness index score of 78.9%.

Urban development has resulted in an increase in impermeable surfaces, increasing the risk of runoff inundating the road network. This situation occurs in the drainage system on Jl. Letjend S. Parman, Jl. Emo Kurniaatmaja, and Jl. Pulau Banda, Pasirkareumbi Village, Subang Regency. This study aims to evaluate the hydraulic performance of existing channels and develop redesign guidelines to reduce the risk of local flooding. The methods used include hydrological analysis of daily maximum rainfall data from the Subang rainfall station, rainfall frequency analysis using the Generalized Extreme Value (GEV) distribution, Intensity-Duration-Frequency (IDF) curves, and hydrological and hydraulic simulations using the Storm Water Management Model (SWMM). Model parameters include sub catchment area, rainfall intensity, time of concentration, infiltration using the Curve Number method, channel dimensions, cross-sectional shape, channel material, and the Manning coefficient. The results indicate that the GEV distribution provides a good fit for determining design rainfall. Based on the typology of a metropolitan city and a catchment area of ​​26.04 ha, the modeling period is 2 to 5 years. The SWMM simulation results indicate that some channel segments have very high flow velocities, potentially causing scour, while other segments have very low velocities, potentially causing sedimentation. This confirms the need for evaluation and restructuring of channel dimensions and slopes to improve the hydraulic performance of road drainage and reduce localized flooding.

Rice plants (Oryza Sativa L.) are the main staple food commodity in Indonesia, as most of the Indonesian population relies on rice as their primary food. One of the causes of low rice production in Indonesia is that farmers generally cultivate rice improperly, such as in land preparation or land selection. Land suitability in rice cultivation greatly affects crop productivity. A process that can support decisions regarding rice land suitability is the development of a Decision Support System (DSS) website using a combination of the Simple Additive Weighting (SAW) method and the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS). This combination is performed by taking the average (µ) of the final results from the SAW and TOPSIS methods. The final scores of each method are calculated separately, and then the average (µ) of these two results is taken to obtain the final ranking of the alternatives. The data used to determine the suitability of rice land is based on five criteria: soil type, soil pH, rainfall, temperature, irrigation and water supply. The alternative data used in the study includes six alternatives: Sungai Kunjang, Sambutan, Samarinda Utara, Palaran, Loa Janan Ilir, and Samarinda Seberang. The aim of this research is to provide information on alternative solutions to farmers or farmer groups in determining rice land suitability. The results of the combination of the SAW and TOPSIS methods show that the alternative with the highest final score is Samarinda Utara (A3), with a final score of 0.7337. Meanwhile, the alternative with the lowest final score is Sambutan (A2), with a final score of 0.4402.

Negeri Haruru in Central Maluku Regency currently faces dual environmental challenges: unmanaged household organic waste and the frequent occurrence of surface water puddles during periods of high rainfall. This community service activity aims to educate and provide practical skills to junior high school students in Negeri Haruru regarding the implementation of 3R principles (Reduce, Reuse, Recycle) through the innovation of Biopore Infiltration Holes (LRB) using recycled plastic bottles as a cost-effective alternative to conventional liners. This innovation is designed to reduce plastic waste while simultaneously managing organic waste and improving soil water infiltration capacity independently at the household level. The implementation method involved participatory socialization, interactive discussions, and hands-on demonstrations of constructing biopore installations. The results indicated a significant increase in students' understanding of the role of soil fauna as decomposing agents and their technical ability to assemble used plastic bottles into functional biopore modules. The implementation of this innovation proved effective in maintaining the structural integrity of the infiltration holes and facilitating the biological decomposition of organic waste into compost. This program is expected to serve as a sustainable community-based environmental management model to minimize puddles and address waste problems in Negeri Haruru through a low-cost, appropriate technology approach.

Abstract: Padukuhan Karangrejek, Karangtengah, Imogiri, Bantul, is a sloping area prone to landslides due to high rainfall, soil erosion, and vegetation degradation. Landslides often threaten the safety of residents, damage infrastructure, and disrupt the sustainability of the local environment and economy. This study aims to apply bioengineering through the planting of slope-stabilizing plants to improve slope resistance to landslides using an environmentally friendly and sustainable nature-based approach. The methods included surveying planting locations, preparing planting holes, making tree marker boards, and participatory phased planting with the community. The types of plants used were Munggur, Soursop, Jackfruit, and Teak, which have strong root systems to strengthen soil structure and reduce erosion. The results showed an increase in soil cohesion through root penetration, a reduction in rainwater runoff, suppression of erosion, and a decrease in the risk of subsequent landslides. The positive impacts included increased soil water retention, improved soil fertility, community empowerment in disaster management, and economic added value from fruit and timber crops. Conclusion The application of bioengineering with Munggur, Soursop, Jackfruit, and Teak trees is an effective, inexpensive, and sustainable solution for landslide mitigation in Karangrejek Hamlet. Recommendations include monitoring growth periodically, expanding planting to other slopes, and integrating the program into the village's disaster resilience plan for long-term sustainability.

Soil strength characteristics are strongly influenced by its physical and mechanical properties, one of which is shear strength. Soil shear strength is affected by cohesion (c), internal friction angle (ϕ), and soil moisture conditions. In open-pit mining conditions, soil moisture content is greatly influenced by rainfall and water seepage, which can increase the degree of saturation within the soil mass. An increase in the degree of saturation generally leads to a rise in pore water pressure, thereby reducing the effective normal stress and resulting in a decrease in soil shear strength. This study aims to determine the effect of the degree of saturation on soil shear strength. This research employs a quantitative method to analyze the influence of the degree of saturation under three conditions (natural, dry, and saturated) on soil shear strength through laboratory testing using the direct shear test. The tests conducted include soil physical properties testing in accordance with SNI 1965-2008, specific gravity testing based on SNI 1964-2008, and soil shear strength testing following SNI 3420-2016. The results indicate that the average degree of saturation under natural conditions is 64.63% with a cohesion value of 7.4 kN/m², under dry conditions is 33.18% with a cohesion value of 8.2 kN/m², and under saturated conditions is 83.08% with a cohesion value of 3 kN/m². It can be concluded that a higher degree of saturation or more saturated soil samples result in lower cohesion values, whereas a lower degree of saturation or drier soil samples lead to higher cohesion values.

Landslides in the Giritengah Catchment Area are influenced by several factors, including geological conditions, rainfall intensity, geomorphology, soil characteristics, and inappropriate land use practices, all of which affect regional spatial planning and environmental stability. This study presents a literature review that analyzes landslide vulnerability, evaluates the impact of land use changes, and proposes integrated Soil and Water Conservation Techniques (SWCT) to support sustainable land management. The analysis applies Geographic Information System methods using thematic map overlays such as rainfall distribution, slope gradient, geological structure, and land use patterns. The results show that areas categorized as having high landslide vulnerability cover 44.02% or approximately 158.69 hectares of the catchment area, while areas with very low vulnerability account for only 0.12% or about 0.79 hectares. Land use conversion, particularly mixed dryland agriculture, has increased landslide risk by reducing slope stability and increasing surface runoff. To address this issue, conservation strategies are recommended, including vegetative measures such as greening 38.51 hectares in settlement areas and implementing agroforestry systems across 218.48 hectares. In addition, structural measures such as three dam retainers and twenty gully plugs are proposed in both protected and cultivation zones to support disaster mitigation and align with regional spatial planning policies.

Semarang City is an urban area with a high vulnerability to flooding. Based on data from the Semarang City Regional Disaster Management Agency, in 2022 there were 133 flood events with extreme rainfall reaching 200 mm per day. Kota Lama Semarang is a historical tourist destination with high heritage value, but this area often faces flooding challenges, especially around the Tawang Polder Area with inundation reaching 30-100 cm. This condition is triggered by an existing drainage system that is not optimal due to limited channel capacity and blockages caused by sedimentation. The purpose of this study is to develop the SEMAR-SUDs smart drainage system innovation. The writing method was carried out through literature studies, hydrometeorological data reviews, and descriptive-quantitative analyses, which formed the basis for the design and implementation of the innovation. SEMAR-SUDs (Semarang-Sustainable Urban Drainage Systems) concept is an integrative solution that combines three main elements Debris Separate Baffle Boxes (DSBB) as a technology for separating waste and sediment, ArborFlow technology based on ecodrainage that optimizes rainwater retention and distribution and Self Closing Flood Barriers that work automatically to protect critical areas. The implementation of SEMAR-SUDs can be a solution model in increasing flood disaster resilience in the city of Semarang while supporting the realization of SDGs 9 (sustainable infrastructure development), SDGs 11 (resilient and sustainable cities), and SDGs 13 (climate action). The SEMAR-SUDs innovation is highly suitable for implementation in Semarang City to mitigate flooding and realize a smart, adaptive, and sustainable drainage system infrastructure.

Male reproductive performance serves as a foundational metric for predicting the reproductive quality traits of progeny. This study aimed to investigate the interaction between semen quality in Etawa Grade (PE) and Boer bucks and non-genetic factors, specifically age and season. The research utilised secondary data on fresh semen production collected from 2018 to 2022. Quality parameters evaluated included ejaculate volume and individual sperm motility. Data were obtained from the Central Java Artificial Insemination Center and analysed using the Statistical Analysis System On Demand for Academics to determine the interactive effects of age and season on fresh semen production. The results indicated that bucks in the younger age category tended to produce higher semen volumes compared to other age groups. In conclusion, there is a general interaction between age and season on the semen quality of PE and Boer bucks. The interaction observed in fresh semen volume and motility was significantly influenced by individual age differences and seasonal factors based on rainfall levels. Further research is warranted to investigate these interactions across additional macroscopic and microscopic parameters.

Aceh Tamiang Regency is one of the regions in Aceh Province that is highly vulnerable to annual flooding due to river overflow and high rainfall intensity. Flood disasters often cause significant material and non-material losses, which are exacerbated by the limited public understanding of flood mitigation, early warning signs, and appropriate self-rescue procedures. This community service activity aims to increase public awareness, knowledge, and preparedness in facing flood threats through disaster mitigation socialization programs. The method applied in this activity includes participatory socialization, interactive discussions, and simulations of emergency response actions involving local communities, village officials, and volunteers. The program emphasizes recognizing early signs of flooding, understanding emergency evacuation routes, and improving coordination during disaster response. The results indicate a significant improvement in community knowledge regarding flood risks, early warning indicators, and emergency measures that should be taken before and during flooding events. Furthermore, the activity successfully strengthened coordination between village authorities and local volunteers in managing emergency response posts and distributing aid effectively. Through this socialization program, the community of Aceh Tamiang is expected to develop greater disaster resilience and preparedness. Increased awareness and coordinated response mechanisms are anticipated to minimize the adverse impacts of future flooding events, thereby reducing potential losses and enhancing community safety.

Cilacap Regency in Central Java Province is recognized as an important contributor to national food production due to its extensive agricultural land and reliance on technical irrigation systems. The performance of irrigation networks, particularly secondary channels in the Serayu Irrigation Area (DI), is essential in regulating water levels to support agricultural activities in Sampang and Karangasem Villages. Variations in rainfall and field conditions often create water level differences that disrupt irrigation distribution, reducing water flow efficiency to rice fields and lowering productivity, especially during the dry season. This study aims to design secondary irrigation channels capable of maintaining stable water levels based on irrigation requirements. The research applies a descriptive quantitative method using rainfall data from BMKG, along with land area and elevation data interpreted from Google Earth imagery in 2025. The data were analyzed using probability and Thiessen polygon methods to estimate design rainfall, determine water availability, calculate irrigation demand, and plan channel dimensions. The analysis shows that Secondary Channel BGS 4.B serves an irrigation area of 103.57 hectares with a planned discharge capacity of 0.0343 m³/s. The channel design includes a base width of 0.65 meters and a water depth of 0.65 meters, with water surface elevations of 14.27 meters upstream and 13.15 meters downstream. Evaluation using a 10-year rainfall return period of 151.677 mm shows the channel can convey discharge effectively while maintaining water levels below the embankment, ensuring reliable irrigation distribution.