Community-based urban waste management: Performance of TPS 3R waste treatment facility in Sleman Regency

Waste is a problem faced by the city where currently waste is still being transported to landfill without any waste processing first. Currently, Bandung City has a waste management problem because it does not have a final disposal site (TPA) especially for waste reduction at the source and currently the waste is processed at the Sarimukti Regional Landfill, West Bandung Regency. Currently, the achievement of waste reduction in Bandung City reached 14.46% (SIPSN, 2023). The purpose of this study is to determine the operational performance of TPS3R in Bandung City as a waste treatment facility. This research was conducted at two TPS 3R in Bandung City, namely TPS 3R Saling Asih II, Maleer Village and TPS 3R Hikmah, Panjunan Village. The method in this study uses quantitative through data collection carried out on the operational conditions of TPS 3R management of 5 aspects waste management in accordance with the. Technical Guidelines for the Implementation of Reduce Reuse Recycle Waste Treatment Facility Activities (2021). From the results of this study it is known that the operational status of the management of TPS 3R Saling Asih II is in very good condition and TPS 3R Hikmah is in good condition. Optimization of TPS 3R can be done through the formation of competent community groups through various training and monitoring of operational performance of TPS 3R.

The Special Region of Yogyakarta (DIY) has rivers that cross rural and urban areas that are still used by the community and industry. However, cases of river water pollution in DIY are a major issue in 2021. It is very important to classify rivers according to class so that further analysis and action can be carried out. This study conducted a grouping analysis of rivers in DIY based on water quality parameters such as Total Suspended Solid (TSS), Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Phosphate, Fecal Coli, and Total Coliform. The grouping method uses the K-means algorithm. The data source is secondary data from the DIY Provincial Environment and Forestry Service. The data is in the form of 56 river samples observed in November 2020. The description of the data shows that the average of the 56 river water samples is 24.95 for TSS, 8.84 for DO, 4.33 for BOD5, 20.36 for COD, 0 .54 for Phosphate, 22.820 for Fecal Coli, and 59.210 for Total Coliform. The results of grouping with k=6 are the best compared to k = 2, 3, 4, 5, 7, and 8. The number of members in this grouping is n1 = 14, n2 = 1, n3 = 1, n4 = 5, n5 = 18, and n6 = 17. The cluster that has the highest average TSS, BOD, and COD values is the 3rd cluster (Rivers in Bantul and Sleman Regencies). The cluster that has the highest DO value is the 6th cluster (Rivers in Bantul Regency). The cluster that has the highest average Phosphate value is the 2nd cluster (Rivers in Bantul, Sleman, and Gunungkidul Regencies). The cluster that has the highest average Fecal Coli and Total Coliform values are the 4th cluster (Rivers in Bantul Regency, Yogyakarta City, and Sleman Regency).

Temporal Trends in Rural vs Urban Sepsis-Related Mortality in the United States, 2010-2019

Purpose: This research aims to identify spatial distribution and risk factors related to the occurrence of COVID-19 in Sleman Regency. Methods: This study used the geographical information system (GIS) software to map the spatial distribution of COVID-19 cases. Pearson correlation and linear regression examined the relationship between the selected variables and COVID-19 incidence. The spatial autocorrelation of the COVID-19 cases was carried out using Moran's I and LISA. Geographically weighted regression (GWR) and multiscale GWR (MGWR) were used to examine the local level. Results: Multivariate analysis results showed that shopping facilities (coeff. =10.02; p-value <0.001) and population density (coeff. =0.0004; p-value <0.001). The spatial autocorrelation test showed a positive and significant spatial autocorrelation between the presence of public facilities (Moran's I=0.600) and population density (Moran's I=0.495) with the incidence of COVID-19 in Sleman Regency. The MGWR model has been proven to be the most appropriate in describing the incidence of COVID-19 in the Sleman Regency (adj R 2 =0.643; AIC c =177.14). Conclusion: The spatial approach has been used to prevent the spread of COVID-19. For example, micro-based social restriction monitoring efforts and COVID-19 vaccination campaigns can focus more on areas with more shopping facilities and densely populated areas.

Kuantitas sampah yang diproduksi terus meningkat setiap tahunnya, seiring dengan peningkatan jumlah penduduk di suatu wilayah. Namun, peningkatan tersebut cenderung tidak sebanding dengan kemampuan pengelolaannya. Melalui Jakstrada, ditargetkan pengelolaan 100% dapat dilakukan pada tahun 2025, namun membutuhkan peran serta masyarakat yang tinggi agar target tersebut dapat tercapai. Yogyakarta memiliki tingkat pertumbuhan kegiatan pengelolaan sampah berbasis masyarakat yang tinggi, khususnya Kabupaten Sleman yang hingga saat ini telah memiliki 147 lokasi, dengan bentuk kegiatan yang beragam, seperti bank sampah, sedekah sampah, TPS 3R dan bentuk pengelolaan sampah mandiri lainnya. Namun, diakui pertumbuhannya belum merata baik ditingkat kecamatan (kapanewon) maupun kelurahan (kalurahan). Berdasarkan analisis didapatkan pengaruh dari peran Jejaring Pengelola Sampah Mandiri (JPSM) Sehati Kabupaten Sleman sebagai organisasi induk. Sehingga pemetaan lokasi, potensi dan tantangan penting untuk dilakukan, sembari merestrukturisasi organisasi induk agar dapat memberikan performa dalam proses pembimbingan, koordinasi dan penghubung dengan berbagai stakeholder.

Waste is an increasingly complex environmental issue due to population growth, urbanization, and changes in consumption patterns. Condongcatur Village, the most populous area in Sleman Regency, faces serious challenges in waste management, particularly in increasing community participation. This study aims to issue a waste management policy in Condongcatur Village based on Sleman Regency Regional Regulation Number 4 of 2015, identify the main obstacles to policy implementation, and develop strengthening strategies to make it more optimal and sustainable. This study uses a qualitative descriptive method with data collection techniques through in-depth interviews, observation, and documentation. Data analysis is carried out through data reduction, data presentation, and drawing conclusions with source triangulation. The results show that the waste management policy in Condongcatur has been implemented through a household waste sorting program, a waste bank, and the management of the 3R TPS. However, the level of community participation is not evenly distributed across the various groups. The main obstacles include limited facilities and infrastructure, weak coordination between stakeholders, and the challenge of institutional poverty in waste management. Based on an evaluation using George C. Edward III's policy implementation model and William N. Dunn's policy evaluation model, the policy was deemed quite effective but not yet optimal. This study recommends strengthening public education, improving supporting facilities, and strengthening the 3R waste management system (TPS 3R) and community-based waste management networks.

<p>This research was aimed to know the importance order of vegetables attributes in urban and rural consumer; the relationship between external and internal factor and the quantity of factor that was considered in purchase of vegetables on urban and rural consumer; the difference of consideration on decision of purchasing vegetables between urban and rural area. The survey method was used in this research by collected questionnaire as much as 60 household. The location of this research at<br />Kauman kidul and Salatiga Village, Salatiga City and November 15 to December 16, 2011. The data was analyzed conducted by Rank Spearman correlation and Mann Whitney nonparametric test. The result of this research indicated that :</p><ol><li>In two area, the importance order of a vegetable attributes were benefit. And then followed by freshness, physical appearance, and price in urban area while in rural area followed by price,freshness, and physical appearance.</li><li>Both in urban and rural, external factor such as price, appearance and freshness of the vegetables significantly correlated with the quantity of factors that considered in the purchasing of vegetables.</li><li>In urban, variables in internal factor such as nutrition knowledge, family income, education and the number of family had significantly correlated with the quantity of factors that consideredin the purchasing of vegetables. In rural, family income and education variables areas not significantly correlation with a quantity of factors that considered in the purchasing of vegetables but the variable of nutrition knowledge and the number of family members had significantly correlated.</li><li>From four consideration in buying decisions. The only significant difference was the kind of vegetables.</li></ol>

Companies should chooseproper competitive tools to be successful in their environment. Beingsuccessful is closely associated with being competitive. Therefore, at the beginning of this work, ageneral look to Competitiveness is taken. In addition to this, the reasons forcompanies to compete are explained. Furthermore, the external and internalfactors related to competitiveness are listed. In further sections, the exampleof Gübretaş is assessed with internal and external competitive factors and itscompetitive tools are explained. Advices for Gübretaş to be more competitiveare also given. In this paper, the reasons for companies to compete are statedand external and internal factors affecting the competition level of companiesare explained. Combination of these external and internal factors affects levelof the competition, In other words, it affects the success of thecompanies. Therefore, the companiesshould deeply analyze these factors, so that they can choose the bestcombination of tools for competition. Being more competitive let the companiesgain more market share in their field. Being big gives advantages for companies. The reason for this is thatbig companies can have more sources than other ordinary companies. Thesecompanies use tools like price, promotion, etc to compete with ordinarycompanies. Therefore, if today’s companies want to obtain success in thecompetition, they should increase their sources as much as possible to defendthemselves against attacks by their competitors. To do this, they shoulddetermine the best practices for competition.

Waste management is currently still a big challenge for all cities/regencies in Indonesia where there is still a lot of household waste that has not been managed and still relies on open dumping. This study aims to determine the relationship between the existence of a policy for the provision of regional-scale Waste Treatment Facilities with TPS 3R and its implementation in each village/sub-district in Garut District. The research method used is quantitative, and the data analysis used in this study is explanatory research which aims to explain whether or not there is a relationship between the independent variables, namely knowing the regent's instruction letter regarding the provision of regional-scale Waste Treatment Facilities with TPS 3R. The process of analyzing research data using the Fisher's Exact Test statistical test shows that the p-value is 0.158. Based on the applicable provisions, if the p-value is smaller than the significance level (α = 0.05) then H_0 (null hypothesis) is rejected and H_1 (alternative hypothesis) is accepted. Therefore, it was found that the p-value is greater than the significance level (0.158 > 0.05) then H_0 is accepted, which means that there is no statistically significant relationship between knowing the policy of providing regional-scale Waste Treatment Facilities with TPS 3R with the implementation of the provision of waste treatment facilities. This means that knowledge of the existence of policies through the regent's instruction letter does not have a significant effect on the implementation of waste treatment in villages/sub-district areas, this could mean that there are other factors that have a greater influence on the implementation of waste treatment in villages/sub-districts.

Purpose: This study determines the comparison of mothers' attitudes about breastfeeding in rural and urban areas of Sleman Regency. Methods: This quantitative research uses a comparative descriptive type and cross-sectional design. This research was conducted in January-March 2020 in 10 public health centers in Sleman Regency, selected by cluster random sampling. This research sample is breastfeeding mothers with children aged 1-7 months. Sampling was done using purposive, random, and consecutive sampling, obtaining 420 respondents. Data was collected using the Iowa Infant Feeding Attitude Scale (IIFAS) questionnaire, consisting of 17 statement items. Research analysis using Mann Whitney test, Spearman test, and Eta test. Results: The breastfeeding attitude score for mothers in rural areas was 60 (min-max 49-72), and in urban areas, the median value was 60 (min-max 45-77). There was no significant difference in the attitude of breastfeeding to mothers in rural areas and urban areas (p=0.769). External variables, maternal age (p=0.026) and education (p<0.001) had a significant relationship with breastfeeding attitudes (p<0.05). At the same time, parity status (p=0.261), work status (p=0.283), and experience received information on breastfeeding (F=0.345) showed no significant relationship with breastfeeding attitudes. Conclusion: The attitude of breastfeeding mothers in rural and urban areas is almost the same. There is no significant difference between the areas where they live, rural and urban areas, with breastfeeding attitudes.

Purwokerto is planning to build Tempat Pengolahan Sampah Reduce, Reuse, Recycle (TPS 3R) in each of its villages, this is due to minimize the quantity of waste that will be transported to Tempat Pembuangan Akhir (TPA), 12 TPS 3R have been built in 12 urban villages ini this city. South Purwoketo Subdistrict only has 1 TPS 3R in 1 village while there are 6 village that do not yet have TPS 3R, so the location of this research is in Purwokerto Kulon which is close to the activity center of Purwokerto. This study aims to find an alternative location for TPS 3R in Kelurahan Purwokerto Kulon. The method used in this study uses the AHP method and Spatial Analysis. This study resulted in locations that were “Very Appropriate”, “Sufficiently Appropriate” and “Not Appropriate”. There are 3 alternative location points with the "Very Appropriate" category to build TPS 3R in Purwokerto Kulon. These 3 locations are in the middle of the Purwokerto Kulon Village area, these 3 locations are on vacant land with a land area of >200 m² with a slope of 0% - 8% or flat, located > 200 m from a body of water/river and these three locations located in an area with minimal human activity. These three alternative locations are able to serve in waste processing in Purwokerto Kulon Village because their placement is close to the service area within a radius of no more than 1 Km

219: Factors In Recruiting and Retaining Emergency Physicians to Rural Emergency Departments

The Survey and Analysis of Rural Smart Development Indicators (Case Study: Villages in Binaloud County)

Inmates have a great potential to generate pressures that make them unhappy. This can lead to stress and tend to have a desire to commit suicide. To minimize this they need the ability to look for happiness in order to reduce the negative impact arising from the situation in prisons. There are two factors that affect happiness is internal and external factors. Internal factors, there are 3 (three), namely the satisfaction of the past, optimism about the future, and happiness in the present. External factors are 5 (five), namely social life, religion or religiosity, marriage, money and health. This study used qualitative techniques in analyzing the data. Data were obtained through interviews and observations. The number of research subjects are four people according to specified criteria. The results showed on the subject C supporting factors of happiness comes from internal and external factors likely to be achieved, on the subject W and D tend to be achieved on the factors supporting the happiness derived from external factors alone. On the subject of A tends not achieved the supporting factors of happiness derived from external and internal factors. The conclusion from this study is only one subject that is the subject of C which tends achieved in supporting factors of happiness derived from external and internal factors, the remaining three subjects achieved only on external happiness factors alone, or internal only. If the views of external and internal factors supporting factors of happiness, of 4 subjects only 3 subjects tend to be achieved in the happiness of external factors, while the source of happiness internal factors, of 4 subjects only one subject that tends to be achieved. Keywords : Happiness, Women Prisoners

Over the last decade, municipal solid waste generation in Phnom Penh has increased noticeably; however, the waste management system is far from satisfactory. Considerable amount of waste is left uncollected, as well as intentionally disposed of in public open spaces. External and internal factors can trigger these problems. Possible external factors are low collection frequency, low cleaning services, and insufficient facilities such as small dumpsters. Possible internal factors, which also play an important role in this issue, include low awareness, insufficient knowledge, and low responsibility for personal waste. To examine the influences of these internal and external factors on people’s waste disposal behaviors, we selected and conducted a questionnaire survey at four sites in Phnom Penh that differ in waste collection frequency and population density. A total of 413 valid responses were obtained. We developed a structural equation model to explain people’s intentions not to dispose of waste in public open spaces. The results showed that personal and social norms, such as perception of social pressure from friends and family and from the government, had significant influences on intention, whereas the influence of external factors was much smaller.