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Asnan Ridoanrisna. Efficiency Of Pakcoy Plants (Brassica Rapa) In Maintaining Water Quality To Support The Survival Rate Of Tilapia. Under Guidance By Robin And Novita Mz. Tilapia is a freshwater fish commodity with high economic value. According to data from the Central Bureau of Statistics (BPS), tilapia exports reached 12.29 thousand tons with a value of USD 78.44 million. Tilapia farming faces the risk of mortality which can lead to economic losses, one of which is caused by organic pollution. To address this issue, this research employs phytoremediation methods with varying plant densities to improve water quality and tilapia survival. The study was conducted with four treatments: A75 (plant density 75% of the aquarium surface area), A50 (50%), A25 (25%), and A0 (no plants), using an aquarium size of 60 x 30 x 50 cm³. Each treatment received chicken manure at 1.8 grams per aquarium and 40 tilapia fish per aquarium. Observations were made over 15 days in March 2023, measuring physical and chemical water parameters including DO, pH, TDS, temperature, and ammonia, as well as calculating the survival rate of tilapia. Using a Completely Randomized Design (CRD), the study found that treatment A75 achieved the highest survival rate at 62.5%. This result indicates that higher plant density in the phytoremediation method is more effective in maintaining water quality and supporting tilapia survival.

This research discusses the identification of slum level in Mandala Sub-district, North Jayapura District, Jayapura City. The research employs a qualitative descriptive approach with primary data obtained from observations, interviews, and documentation. Mandala Sub-district faces issues of development inequality and high population density, including unsuitable living conditions in its residential areas. The identification results indicate that the slum level in Mandala Sub-district falls under the category of "Mild Slum (KR)" according to the Ministry of Public Works and Housing Regulation No. 2 of 2016. The recommended approach for handling slum areas is through redevelopment, which includes improving housing and the surrounding environment, enhancing the quality of neighborhood roads, providing better access to clean water, managing wastewater, waste disposal, and fire protection measures. This research is expected to provide an overview and recommendations for more effective and sustainable handling of slum areas, involving the collaboration of the government, private sector, and community.

This study aims to analyze the water quality of the Badung River based on Class II River water quality standards according to Government Regulation No. 22 of 2021, determine the water quality status, and calculate the potential pollution load of the Badung River. Water quality measurements were conducted at five sampling points. The parameters measured and observed include Temperature, Total Suspended Solids (TSS), pH, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Sulfate (SO42), Nitrate (NO3), Total Phosphate (P), Oil & Grease, Total Detergent, and Total Coliform. Samples were analyzed in the laboratory for physical, chemical, and microbiological parameters. The water quality status of the Badung River was determined using the pollution index method, and the potential pollution load was calculated using the wastewater emission coefficient approach. The results showed that the water quality and status of the Badung River are classified as lightly polluted, with an average pollution index value of 3.65. The potential pollution load entering the Badung River in the domestic sector is 0.78 tons/day for BOD, 1.07 tons/day for COD, and 0.74 tons/day for TSS. Factors contributing to the lightly polluted water quality status include population density, poorly managed domestic activities (household waste), which contribute to high pollution parameter values such as BOD, COD, and TSS, and a lack of waste management infrastructure

Trenggalek and Malang districts are among the coastal cities in East Java that have mangrove forests. The function of mangroves as a wear prevention to maintain the plains is the background of this research. The purpose of this study is to compare the vegetation density of mangrove forests in Trenggalek and Malang using Landsat 8 image 2 channel algorithm method by calculating the vegetation index value with NDVI and EVI methods. The difference in vegetation values can be seen based on thematic maps with differences in average diameter of mangrove trees where in mangrove forests in Trenggalek Regency has an average diameter of mangrove trees of 6.55 cm while in Malang Regency has an average diameter of mangrove trees of 5.73 cm. There are also differences in vegetation values based on the two methods used in the study, namely NDVI and EVI show differences in vegetation values. Using the NDVI method, the vegetation value is 0.53232 for the Malang area while 0.6263 for the Trenggalek area. Although both are classified as very dense, there is a difference in the t-test on the average vegetation value using the NDVI method. Using the EVI method, the vegetation value of 0.33994 for the poor area is classified as moderate while 0.42033 in the Trenggalek area is classified as dense.    

The problem that occurs in Medan city is the existence of riverside slum settlements, one of which is Aur village. The irregularity of buildings, high building density level, and the quality of buildings and facilities and infrastructure that do not meet the requirements for adequate housing can affect children's development. This research aims to explore children's activities in riverside slum areas. The research method used is exploratory qualitative, namely in the form of interviews and observations. The results of the research show that children spend their time in the afternoon playing and reciting the Koran around Masjid Jami Aur. This shows that the mosque and its courtyard are an important space for children's activities.

Tropical diseases remain a serious public health challenge in Southeast Asia, particularly malaria, which has high morbidity and mortality rates. The complexity of their spread is influenced by various factors, including climate, environment, and population, requiring a spatially-based analytical approach to understand their distribution patterns. This study aims to develop a regression-based spatial model to predict the spread of tropical diseases and identify hotspots in high-risk areas. The data used include tropical disease case reports from national health agencies, climate data (temperature, rainfall, humidity) from BMKG and WorldClim, and population data (density and mobility) from  BPS and other official sources. The analysis was conducted using a Geographic Information System GIS for spatial mapping, as well as the application of spatial regression models, namely the Spatial Lag Model SLM and Spatial Error Model SEM. The results show that the developed model is able to predict disease distribution with a high level of accuracy, demonstrated by statistical validation through AIC, and Morans I. One of the main findings is the identification of malaria hotspots with a confidence level of 93, as well as the mapping of tropical disease risk predictions covering the Southeast Asian region. These results have significant implications for public health policy, particularly in resource allocation, prevention program planning, and priority area-based interventions. Furthermore, this study recommends the integration of big data and machine learning technologies to enrich predictive models and develop more adaptive early warning systems. Thus, this research contributes to strengthening tropical disease control strategies in Southeast Asia with a comprehensive spatial data-driven approach.

Socialization on the prevention of Dengue Hemorrhagic Fever (DBD) in Kebonadem Village on July 20 2024 aims to increase public awareness about the dangers of DBD and steps to prevent it. The main problem faced is the high risk of dengue fever transmission due to population density and community behavior that does not maintain environmental cleanliness, which supports the breeding of the Aedes aegypti mosquito. The urgency of this outreach is very high considering that dengue fever cases often cause Extraordinary Events (KLB) and the fatal impacts they can have. The results of this outreach show a significant increase in public understanding regarding preventive measures such as the application of 3M Plus (Draining, Covering, Burying and Sprinkling abate powder) as well as the early signs of dengue fever. Active participation in discussions and implementing new habits, such as cleaning water reservoirs, indicates the positive impact of this activity. Despite progress, consistency in implementing prevention habits and ongoing support from various parties is still needed to ensure long-term success. Regular evaluations will help assess the effectiveness of the program and reduce the number of dengue cases in the village, making it an example of success in dengue prevention in other communities.

The small number of people cultivating horticultural crops, especially vegetables, means that people can only buy vegetables to meet their vegetable food needs, where the main factor for this is the decline in the area of productive land used as agricultural land and cultivation caused by the growth of population density in Indonesia. Therefore, the solution to the existing problem is to provide openness of insight and assistance in utilizing narrow land for plant cultivation. One way to cultivate plants is by using the vertical cultivation method. In implementing this activity, the aim is for Kalijudan residents to have knowledge about the vertical cultivation system and plastic bottle waste management. The implementation of this activity uses the method of socialization and training activities or direct practice. Where, the target audience in the practice of this activity is elementary school students and Kalijudan residents. From the results of the discussion, it was concluded that this activity is useful because it can introduce residents and change the condition of the Kalijudan sub-district which was originally a narrow land without plants into a narrow but green land. In addition, this vertical cultivation activity also has benefits in reducing plastic waste that accumulates in the Kalijudan environment.

The research comprised multiple simulated tests to determine the relationship between (sample size, distribution parameter value, estimation method, and pollution indivuduales). The experimental findings indicate that the estimator is influenced by sample size, the value of distribution parameter, estimation method, and pollution indivuduales. The results of the mean square error analysis indicate that (robust estimation method) produces the best results with the lowest mean square error, and the best estimation method was (191) of (243) simulation experiments. Additional statistical distributions with additional factors can be performed to demonstrate additional results.

The aim of this research is to determine the performance of TRT from 2021 to 2023, identify the causes and impacts of TRT that exceeds the standard set time. The research design used is descriptive research with a mixed methods approach (qualitative )The type of data used is qualitative and quantitative data presented in numbers and sentences that support the author's opinion in analyzing this research. Data sources in this research are divided into primary data sources obtained from interviews, observations and literature studies and secondary data sources obtained from company data in the form of throughput data, TRT for 2021 to 2023, printed books, journals and the internet. The results of this research are that the TRT performance at PT Terminal Petikemas Surabaya is good because in 2021 to 2023 the dominant number of trucks at the TRT was less than 30 minutes, although there could be indications of a decline in performance. This decline in performance is indicated by an increase in the number of trucks from 2021 to 2023 on TRT of more than 30 minutes. The causes of TRT exceeding the standard determination time are density factors in the stacking yard, equipment factors (service and availability), human resource factors and natural factors. The negative impact of TRT that exceeds the standard set time is disruption of loading and unloading activities, internal company losses and decreased customer loyalty. Suggestions that can be used in overcoming TRT (Truck Round Time) problems are that good coordination is needed in accordance with Standard Operating Procedures (SOP), good improvisation from human resources, systems and equipment as well as yard planners carrying out various plan innovations by shortening slots so that RTG movements are not too displacement length.

Mixing temperature has an important role in the performance of the asphalt mixture that has been made. If the mixing temperature is too low and causes the viscosity value to be high, it will make it difficult to carry out asphalt mixing and was studied in the laboratory for two months which aims to determine the effect of mixing temperature variations on the value of marshall parameters and determine the effect of temperature variations on the performance of AC-WC asphalt pavement mixing. Characteristics of Temperature Variations in AC-BC asphalt mixtures for temperature variations of 140, 150 and 160, from the results of testing vim at a temperature of 160 with a value of 6.63 does not meet specifications, at a VFB value at a temperature of 160 does not meet specifications with a VFB value of 64.25, for the value of stablity, VMA, flow, MQ all meet specifications. so it can be concluded that the greater the temperature can make the asphalt mixture ineffective or the quality of the AC-BC asphalt decreases. The effect of temperature variation on AC-BC asphalt mixture is not optimal because the greater the temperature parameter can reduce the quality of AC-BC. The results of the proof of the marshal test of several temperature variations that do not meet the specifications make some marsall tests not pass specifications and density results that are not solid.

Surabaya, a city with high population density in East Java, faces challenges in managing land for reforestation. To address this issue, the Surabaya Green and Clean (SGC) Program was introduced, focusing on greening and waste management. One of the proposed solutions is hydroponics, a soilless farming method that can be applied on limited land. On July 28, 2024, community service activities were carried out in Kalijudan Village, Mulyorejo District, Surabaya City, to introduce and increase public knowledge about hydroponics. This activity involved socialization and practical hydroponic planting with the participation of 25 residents. The program consisted of preparation stages, socialization, planting practices, and report preparation. Socialization included exposure to hydroponic theory and practical demonstrations, while each participant received tools and materials for home experiments. The planting method with rockwool has proven effective in supporting plant growth, while the distributed eco-enzyme provided dual benefits by increasing plant growth and reducing household waste. This program successfully introduced hydroponic technology and increased awareness of sustainable urban agriculture. Hopefully, this activity will be the first step in developing hydroponics and creating a greener environment in Surabaya.

The aquaculture sector is one source of food production whose development in Indonesia reached 6,979,750 tonnes or 95.80%. Therefore, it can contribute to the community's nutritional adequacy rate. Fisheries cultivation must be encouraged, because it plays an important role in improving the community's economy. Catfish production in Indonesia reached 1.06 million tons and 19,550 tons in Lampung. Catfish can be cultivated with various types of pools including tarpaulin, concrete, soil, biofloc and bucket pools. The aim of cultivating in buckets is as a form of updating appropriate technology through cultivating in buckets and creating nutritional gardens. The levels of ammonia, nitrite and nitrate in catfish ponds with plants will be lower than in conventional ponds without aquaponics. The experiment was conducted with a Completely Randomized Design (CRD) with four treatments and three replications (P1=1 head/liter, P2=2 head/liter, P3=3 head/liter and P4=4 head/liter). The best absolute weight growth rate was 3.1 grams, absolute length growth rate was 9.1 cm, and survival rate was 81%, accompanied by other water quality parameters such as temperature (26.5 - 28.4oC), pH (6.5- 6.8), DO (3-4 mg/L), TDS (135- 145 ppm).

This research aims to model the impact of Green Open Space (GOS) on Carbon Monoxide (CO) gas levels in Entrop Village, South Jayapura District. Green Open Space plays a crucial role in improving air quality in an area. In the context of rapid urbanization and increasing motor vehicle numbers, GOS serves as the city's lungs, capable of absorbing pollutants and improving air quality. The research method used is spatial modeling, which allows mapping the distribution of GOS and measuring CO levels on the main roads of Entrop Village. Primary data was obtained through field surveys using CO measuring instruments, while secondary data was obtained from various literature sources and reports from related agencies. Data analysis was conducted using statistical and spatial approaches to identify the relationship between GOS and CO levels. The results showed a significant negative relationship between the extent of GOS and CO levels. The larger the GOS area, the lower the CO concentration in the area. Spatial modeling also identified high CO concentration points in areas with low GOS density. Furthermore, this research found that uneven distribution of GOS contributes to variations in air quality (CO) in different locations. These findings highlight the importance of effective GOS management as part of air pollution control strategies in large cities. Recommendations from this research include increasing the number and distribution of GOS in areas with high CO concentrations, and integrating GOS into urban spatial planning to create a healthier and more sustainable environment. This research makes a significant contribution to sustainable urban planning by emphasizing the importance of integrating GOS into spatial planning to improve air quality and environmental health. Thus, the results of this research can serve as a reference for the government and stakeholders in formulating future GOS management and air pollution control policies.      

Flies are vectors for disease transmission, especially mechanically and through their vomit and feces. Items, especially food, are usually contaminated by human feces, rubbish, the saliva of sick people, scars from animal carcasses and other things that are covered in flies. Flies can throw feces on food so that the food becomes contaminated with fly eggs and larvae. Disruption of comfort, eyesore, itching of the skin, causing discomfort, decreased appetite. To determine the density and identification of flies in the Waiheru Perumnas market, Baguala District, Ambon City. Type of descriptive research that describes a condition based on observation and examination of the Ambon Environmental Health Engineering Center (BTKL) Laboratory. The aim of descriptive research is to describe the density and identification of flies in the Waiheru Perumnas market, Baguala District, Ambon City. Measuring the density of flies in the Waiheru Perumnas market, Baguala District, Ambon City is based on 3 points, 10 measurements at each point in the morning, at the first point (los fish) amounted to 87 flies, at point II (vegetable stall there were 55 flies and at point III (fruit stall) there were 45 flies. Identification of fly types resulted in 3 types of flies identified, namely Musca Domestica (house fly), Cliphora Sp (green flies) and Sarcophaga (meat flies). The density of flies in the Waiheru Perumnas market, Baguala District, Ambon City, based on the installation of fly grills based on the 10 highest points, was 187 flies and at the 5 highest points was 134 flies with 23 flies caught in the fly trap. From the results obtained, it can be seen that the density of flies is very high so it is necessary to deal with fly breeding sites and fly control measures.

Introduction Osteoarthritis (OA) is the most common articular disease of the developed country and cause of chronic disability, and may cause joint failure.Currently, it is more prevalent than it used to be, and it is predicted that this tendency will continue as life expectancy and the prevalence of obesity increase.OA is related to age, but is associated with a variety of both modifiable and non-modifiable risk factors, including obesity, lack of exercise, genetic predisposition, bone density, occupational injury, trauma, and gender. It is a major cause of disability in elderly populations around the globe, especially in developed countries. the aim of study to identify Knowledge about osteoarthritis and its related risk factors in fourth grade students in nursing department of Alfarabi collage  and to assess Knowledge about osteoarthritis and its related risk factors in fourth grade students in nursing department of Alfarabi collage . methodology The methodology for studying the knowledge about osteoarthritis and its related risk factors in fourth-grade students in the nursing department of Alfarabi College can be utilize a cross-sectional research design to assess the knowledge of fourth-grade nursing students about osteoarthritis and its related risk factors. A convenience sampling method will be used to select participants from the fourth-grade nursing students at Alfarabi College. The sample size will be determined based on the total number of fourth-grade students in the nursing department. Results The sociodemographic characteristics of 256 students at Al-Farabi College were analyzed. The majority of respondents were male (73.8%), over 22 years old (35.3%), and engaged in manual labor (53.0%). The study found that students had higher knowledge about certain aspects of osteoarthritis, such as postmenopausal women being more at risk for osteoporosis than osteoarthritis (87.5%), while their knowledge about female gender as a risk factor was lower (39.4%). Students also had higher knowledge about joint pain as a symptom of osteoarthritis (82.8%) compared to redness in the joint (53.1%).Finally, while there was a high significance between having a first-degree relative with knee osteoarthritis and knowledge, there was no significance between being clinically diagnosed with osteoarthritis and knowledge among the students. Conclusion  the study of sociodemographic characteristics and knowledge of osteoarthritis among students at Al-Farabi College revealed that there were significant associations between gender, occupation, awareness of knee osteoarthritis as a disease entity, and having a first-degree relative with knee osteoarthritis with knowledge about the condition. However, there was no significant association between age, being clinically diagnosed with osteoarthritis, and knowledge.

Dengue, or what people often call dengue fever, is a viral infectious disease that is transmitted through mosquitoes. The incidence of dengue has increased significantly worldwide in recent decades. Dengue has become a public health problem in the world, not only in Indonesia. In early 2020, WHO listed dengue as a global health threat among 10 other diseases. By the end of 2022 the number of dengue cases in Indonesia will reach 143,000 cases, dengue cases occur equally in women (49%) and men (51%). Most dengue cases occur in the 15-44 year age group (39%). This pattern is different from deaths due to dengue, which are more dominant in women (55%) and in the younger age group, namely 5-14 years (45%). Cases of Dengue Hemorrhagic Fever (DHF) in 2021 have doubled compared to the same period in 2020, which was only 41 cases. DHF cases in the city of Ambon have experienced a significant increase, as of June 2021 there were 81 cases of dengue fever recorded with 2 patients dying. The highest number of dengue fever cases was in Sirimau sub-district with 43 cases, followed by Nusaniwe with 18 cases, Baguala with 11 cases, South Leitimur with 6 cases, and Teluk Ambon sub-district with 3 cases. Based on data from the Tulehu Community Health Center, Salahutu District, Central Maluku Regency. There were 11 cases of dengue fever from 2022 to September 2023. Among them, there was 1 case of dengue fever in RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency. The type of research used in this research is descriptive research to calculate the percentage of houses positive for Aedes aegypti and calculate the density of larvae in water reservoirs inside and outside people's houses in RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency. The results of the research that has been carried out show that RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency, the HI index has a Density Figure (DF) of 8 so it is in the high density category, while the CI Index has a Density Figure (DF) of 9 so it is in the high density category.

One effort to control Aedes aedes. mosquitoes is by knowing the entomological index. The entomological index is an indicator of the density of Aedes aegypti larvae in a particular settlement which is an important consideration in determining effective vector control efforts. The success of larva monitoring is seen from the House Index (HI), Container Index (CI), Breteau Index (BI) and Larval Free Rate (ABJ), because these entomological indices are used to monitor the population density of Aedes spp in the spread of the dengue virus. The problem in this service is how to reduce the high number of dengue fever cases. This community service is to determine the larval density of the House Index, Container Index, and Breteau Index. The service methods used are surveys and observations. The results of the larval survey in Pampang subdistrict showed that the HI, CI and BI values ​​in Pampang subdistrict were respectively 26% (DF=4), 14.36% (DF=4) and 27.45 (DF=4) in the density category. moderate, while the larvae free rate (ABJ) is 79%, which still does not meet the Environmental Health Quality Standards standards in an area described as having an ABJ of less than 95%.

This paper presents an improved SEIR (Susceptible-Exposed-Infectious-Recovered) model to simulate the spread of infectious diseases in urban environments, taking into account environmental factors such as population density, mobility, and air quality. By applying the model to a range of urban case studies, we analyze the impact of each factor on transmission rates and propose strategies for optimal intervention. The results show that cities with higher levels of mobility and pollution experience faster disease spread, which requires targeted health policies.

As electric vehicles (EVs) gain popularity, understanding the demand for EV charging infrastructure becomes essential for effective urban planning. This paper develops mathematical models to predict EV charging demand based on various factors, including population density, traffic patterns, and energy consumption data. The models provide valuable insights for city planners regarding the optimal placement and capacity of EV charging stations to meet future demand, facilitating the transition to a more sustainable urban environment.