Local Government Research Articles

Intelligent IoT-Based Flood Monitoring and Alerting System using Raspberry Pi

Abstract: Floods are one of the most destructive natural disasters, causing significant loss of life and property. Early detection and timely intervention are crucial in mitigating the impacts of floods. The "Intelligent IoT-Based Flood Monitoring and Alerting System" is an innovative solution that leverages the power of the Internet of Things (IoT) to monitor water levels and predict potential flooding events. This system uses low-cost and easily accessible hardware such as a Raspberry Pi, sensors, LCD, buzzer and a cloud-based platform to provide real-time flood monitoring. The system continuously collects data on water levels, environmental conditions, and other relevant metrics, and processes this data to issue early warnings and alerts to local authorities and residents. Through an intuitive web interface, users can monitor flood-prone areas and receive notifications when water levels reach dangerous thresholds. The system aims to enhance disaster preparedness, reduce human and material losses, and improve the efficiency of flood management

Gambaran Praktik Pengasuhan Anak Kembar di Kabupaten Gayo Lues

The purpose of this study is to know the image of the practice of child care in gayo lues district. This study uses qualitative methods with a descriptive approach. Number of participants in the study are three subjects. The data is analyzed using thematic analysis techniques. The findings suggest that there are 7 themes illustrating the practice of foster care in gayo lues district, of which 7 include the following sub themes. Parenting stress that covers the subtheme of financial demands, the lack of time for yourself. Support system that includes sub themes of extended family help, husband support, local government assistance. Coping strategies that include the subtheme manage time through other work, not managing emotions in a healthy way. Teaching that includes sub themes that enhance understanding, direction and example. The culture that includes the sub theme educating children firmly, the high tone of voice and educating children independently. The vaforitism consists of the sub theme divide and contrast.

Land price, government debt, and land-use efficiency in the coastal cities of China under the constraint of land scarcity.

Land scarcity poses a significant challenge for coastal cities in supporting sustainable urban development. This study quantifies the Land Scarcity Index (LSI) for 51 Chinese coastal cities from 2008 to 2018, revealing a phased increase and a transition to high scarcity levels. The findings reveal significant differences in the land price dynamics and fragmentation between commercial-residential and industrial land plots. Under LSI constraints, both commercial-residential and industrial land plots exhibit a trend of decreasing plot areas and increasing prices. We further explore the threshold effects of local government debt (LGD) on urban land-use efficiency, demonstrating that high LGD and LSI exacerbate the price scissors gap, adversely affecting land-use efficiency. Our findings show that, when LGD exceeds 10.43%, increased commercial-residential land prices enhance land-use efficiency, whereas below this threshold, they hinder it. Similarly, the land price scissors (LPS) gap between commercial-residential and industrial land negatively impacts land-use efficiency when LGD exceeds 14.59%. This study provides valuable insights into optimizing land fiscal policies, improving urban land-use efficiency, and addressing the challenge of land scarcity in China's coastal cities.

Policy Improvement for Local Governments by Analyzing Demands for Safe Environments by Vulnerable Groups: Focusing on Daejeon Metropolitan City

This study highlights the importance of improving safety environments for vulnerable groups, especially individuals with disabilities, in the face of the disasters and accidents that frequently occur in modern society. People with disabilities are more likely to suffer greater harm due to physical and environmental limitations during disasters, necessitating systematic response measures. This study proposes practical and tailored support measures to improve safety environments for vulnerable groups. To this end, a survey and in-depth interviews were conducted, focusing on disabled individuals, the elderly, and children in Daejeon, to analyze their perceptions and needs regarding safety environments. The research findings show that individuals with disabilities have a high level of fear of disasters and safety accidents, and their ability to respond in emergency situations is very low. Elderly people experience difficulty responding during emergencies due to social isolation and limited access to information, whereas children lack awareness of risks, making it challenging for them to respond appropriately when accidents occur. Based on these findings, this study emphasizes the need for tailored educational programs, expanded safety infrastructure, and the development of IoT-based support systems to provide comprehensive measures for vulnerable groups. In conclusion, this study proposes tailored policies and support measures that consider the characteristics of vulnerable groups. By doing so, it is intended to strengthen the disaster response capabilities of vulnerable groups, including individuals with disabilities and the elderly, and contribute to creating a safer social environment.

Decoding the impact of political uncertainty on IPO underpricing in China

PurposePolitical factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.Design/methodology/approachUsing 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.FindingsLocal official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.Originality/valueLocal government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.

K-콘텐츠를 활용한 지역관광 활성화 방안 : 춘천 사례를 중심으로

By focusing on the case of Chuncheon, this study explores the local governments' strategies to revitalize local tourism by utilizing K-contents. The study examines Chuncheon’s geographical characteristics, natural resources, cultural resources, and industrial assets within the broader context of K-contents which also includes local content. In-depth interviews with experts and focus group interviews with consumers were conducted. The analysis utilized the 'Local Content-Based Tourism Industry Competitiveness Evaluation Model' which focuses on four key elements: cultural tourism content resources, K-content-based tourism market, strategy and business implementation system, and supporting environment (i.e., infrastructure). The results revealed that while Chuncheon possesses diverse natural and cultural resources, there is a need for improvement in linking and utilizing these assets. The study highlights the necessity of developing and promoting contents that align with current tourism trends and the preferences of the MZ generation. Additionally, it calls for an enhancement of infrastructure, such as accommodation and transportation, to better connect major tourist spots within the city. To foster the cultural and tourism content industry, the study also emphasizes the urgent need to establish governance to systematically support development efforts. The research proposes a five-theme strategy to revitalize tourism in Chuncheon: regional characteristics, culture and festivals, filming location spots, leisure sports, and food. This approach provides practical implications by offering a comprehensive perspective on the current situation, challenges, and revitalization measures for Chuncheon tourism.

The Effects of the Local Government Officials’ Coaching Competency and Public Service Motivation to Job Engagement

The Effects of the Local Government Officials’ Coaching Competency and Public Service Motivation to Job Engagement

Future Site Suitability for Urban Waste Management in English Bazar and Old Malda Municipalities, West Bengal: A Geospatial and Machine Learning Approach

The rapid urbanization occurring globally has significantly intensified the challenges of waste management in densely populated metropolitan areas. A growing amount of waste has become a major concern for municipal authorities and local governments due to the limited availability of suitable land. Geospatial techniques, such as Geographic Information Systems (GISs) and remote sensing, combined with machine learning, play a crucial role in identifying suitable sites for urban waste management. These techniques assist planners in making well-informed decisions that strike a balance between environmental preservation and urban expansion by examining spatial data on land use, population density, and environmental concerns. Geospatial tools provide a data-driven basis for policy and urban planning, ensuring effective land use, reducing ecological hazards, and promoting sustainable urban growth for municipalities such as English Bazar and Old Malda. It can also pose serious threats to the environment, public health, and communities. Focusing on the English Bazar and Old Malda Municipalities in India, this paper examines the use of geospatial technologies to identify suitable sites for waste disposal. The research aims to address the complex processes of waste generation, collection, and disposal in urban environments. Using GIS and a Multi-Criteria Decision Analysis (MCDA) approach, the study employs the Analytic Hierarchy Process (AHP) alongside the Random Forest (RF) model and a machine learning (ML) technique to identify potential waste disposal sites within the English Bazar and Old Malda Municipalities in the Malda district. Eight key criteria were considered in the site selection process: land elevation; distances from surface water, roads, railways, and urban areas; groundwater depth; land use and land cover; and distance from sensitive and restricted areas. AHP analysis showed that 8%, 26%, and 27% of the sites were categorized as very highly suitable, moderately suitable, and unsuitable, respectively. Meanwhile, 38%, 17%, and 13% of the areas were classified as unsuitable, moderately suitable, and very highly suitable according to the RF model. The overall accuracy and Kappa coefficient indicated that the AHP method (overall capacity of 83.83% and Kappa coefficient of 0.7894) was slightly better than the RF model (overall capacity of 80.61% and Kappa coefficient of 0.7474) for site suitability analysis. This research underscores the broad relevance of geospatial technology in creating resilient and environmentally sustainable cities while offering valuable guidance on effectively allocating waste disposal sites. The findings provide crucial insights for urban planners and decision-makers, facilitating the identification of optimal locations for sustainable waste management in urban settings.

Spatiotemporal Distribution of Human Rabies and Identification of Predominant Risk Factors in China from 2004 to 2020.

Human rabies is a prevalent issue in China, posing a significant public health concern in the country. This study fitted the Bayesian model of separable in spatial and temporal variation and inseparable spatiotemporal variation in disease risk respectively based on Integrated Nested Laplace Approximation (INLA) to investigate the spatiotemporal characteristics of human rabies across 31 provinces in China from 2004 to 2020. It also investigated the influence of natural and socio-environmental factors on the incidence of the disease. Within the study period, a total of 26,807 cases of human rabies were reported, with the highest risk of incidence occurring in 2007, followed by a steady annual decline to the lowest risk in 2020. Guangxi Province exhibited the highest risk, while Jilin Province had the lowest, with the southern, central, and eastern regions reporting higher risks than the northern and western areas. By 2020, most provinces such as Guangxi and Guizhou had significantly reduced their relative risk (RR) of human rabies from historical highs. However, some provinces like Hunan, Henan, and Jiangsu experienced an increase in RR compared to previous years. As the annual average temperature increases, the risk of human rabies incidence in China correspondingly rises. Conversely, with increases in the annual average daily sunshine duration, per capita disposable income of urban residents, and local government healthcare expenditures, the risk of human rabies incidence declines. We conclude that the risk of human rabies in China initially increased and then decreased annually from 2004 to 2020. Future efforts should continuously increase financial investments in rabies prevention and control, focusing particularly on Hunan, Henan, Jiangsu, and provinces characterized by higher temperatures, shorter sunshine durations, and lower economic levels.

E-participation in Local Self-Government in Croatia

Today, cities play a crucial role as drivers of global change, as well as leaders in implementation of UN’s Sustainable Development Goals. They must capture and satisfy diverse needs of their citizens. On the other hand, e-participation adoption is crucial in open government movement as it allows the government to involve the public in their work, making it more transparent. This can be achieved through e-information, e-consultation and e-decision making as levels of e-participation adoption. This research puts focus on e-participation adoption in Croatian local governments and explores supply side of e-participation adoption with local governments’ officials. After consulting relevant literature, public sector and ICT experts, a questionnaire (i.e. measurement items) has been developed to assess e-participation levels in cities/municipalities with over 8,000 inhabitants. More than 240 responses have been collected from local governments’ heads of departments and departmental managers. The results show that the adoption of e-participation at the local level is modest with a score of 59%. E-participation sub-levels show very good adoption of e-information (e-information services widely available), mediocre results for e-consultation (mostly only compliance with respective law), and a low level of adoption of e-decision-making. The differences in adoption levels of e-participation are statistically significant between smaller and larger cities/municipalities. Therefore, the population size of the city/municipality has proven to be significant, with larger cities having higher adoption rates, especially of e-consultation practices. The author suggests a greater variety of tools and formalization of e-participation at strategic and operational levels to achieve higher levels of adoption. In addition, local governments should adopt more advanced engagement tools to enhance citizens’ (and other stakeholders’) e-participation (with voting and rating options), as current utilization is still low.

Role of local governments in EU member states’ climate policy and legislation

This article provides a better understanding of the opportunities and challenges that local governments have in achieving climate objectives, both within EU member states’ national climate policy and national climate law, and how this relates to the literature on multi-level governance. More specifically, the differences and similarities between the national climate plans and national climate legislation of four selected member states (Germany, Ireland, Netherlands and Spain) have been examined. The findings from this can be related to the literature on multi-level governance when it comes to opportunities and challenges regarding the role that local governments fulfill. On the one hand, local governments are often seen as potential key drivers that can successfully work together and whose involvement can lead to more effective climate governance. On the other hand, local governments are legally and financially dependent on higher levels of government in the implementation of their assigned climate-related tasks and responsibilities.

Assessment of Socioeconomic Vulnerability in Selected Villages of Gosaba Block, Sundarban, India Using an Artificial Neural Network

The Indian Sundarban represent an endangered ecosystem with a distinct biogeographical composition. It is susceptible to natural disasters like storms, floods, and cyclones, hence jeopardizing its socioeconomic systems due to environmental stresses. This study aimed to evaluate the present socioeconomic vulnerability, identify key factors that exacerbate this vulnerability, and validate these factors using an Artificial Neural Network (ANN) prediction model. Researchers also wanted to validate this evaluation with ANN to promote substantive discussions between researchers, local authorities, and stakeholders. Comprehensive reviews and successful adaption plans will improve. The study conducted in selected villages with 160 households in the Gosaba Block, located on the periphery of the Sundarban. The present study employed an integrated vulnerability approach, calculating the exposure, adaptive capacity, and sensitivity index by weighting the initial eigenvalues of each indicator with a variance percentage through principal components analysis (PCA). Based on this criterion, 156 households (97.5%) exhibited an extremely high vulnerability score, while 4 households (2.5%) displayed a moderate vulnerability grade. The villages of Pakhiralay and Lahiripur exhibit significant vulnerability, with a markedly deficient adaptive capacity. The villages of Mathurakhand, Kumirmari, and Satjelia exhibit vulnerability alongside moderate adaptation capacity. All are priority villages, however, Villages with moderate adaptive capacity may become less vulnerable with adequate interventions Proximity to market strongly affects MLP neural networks' assessment of environmental, economic, and social variables' effects on exposure, sensitivity, and adaptive capacity. Respondent age, family size, social network, storm surges, supplementary sources of household income Dwelling years, temperature, embankment failure, and income greatly affect model performance. A policy initiative should prioritize the enhancement existing social and financial capital, facilitate access to local government, and promote community-oriented activities. National disaster, social welfare, and resource management strategies need separate action plans. The national government is also encouraged to decentralize governance to enable local governments to achieve their goals.

Identifying Opportunities for Developing Nature-Based Sport Tourism to Improve Health in Papua: A Bibliometric Analysis of Research Over Ten Years

Objectives. This study aimed to examine research trends around nature-based tourism, event-based sports tourism, and their relationship with government policies to identify potential opportunities for sustainable sports tourism development in Papua. Materials and methods. The methodological approach comprised using a bibliometric analysis by reviewing 997 scientific articles sourced from Scopus, PubMed, and Web of Science databases from 2014-2024. Harzing’s publish or Perish software was used to sort the articles, and VOSViewer software was used to analyze the articles. The review included the number of cluster groups, research themes related to sports tourism in the year groups, research trends around nature-based sports tourism, and gaps in sports tourism development. Results. There were eight cluster groups and five groups. The current research trends in the field of sports tourism comprise event-based sports tourism, nature tourism, the tourism industry, and social media. The research trends related to nature-based sports tourism include six keywords, namely nature-based tourism, nature connectedness, nature sport, nature-based events, nature-based recreation, and nature. Visitors, managers, communities, and governments benefit from the health and economic advantages of nature-based sports tourism. In developing nature-based sports tourism, it is essential to consider the sustainability of nature, cultural characteristics, and the form of activities offered. Local governments need to take part in efforts to develop and preserve nature-based sports tourism. Conclusions. The development of nature-based sports tourism with traditional sports activities has a great opportunity to be enhanced. This innovation certainly needs careful planning from determining goals, human resources, risk factors, and presenting an effective promotional strategies. The involvement of local government can facilitate the implementation of this planning.

Analisis pengenaan tarif dan perhitungan pajak air permukaan pada wajib pajak berdasarkan Perda Sulut Nomor 5 Tahun 2018 (Studi kasus pada Badan Pendapatan Daerah Provinsi Sulawesi Utara)

Local tax is a type of tax that the local government is entitled to manage and collect from taxpayers who live in a region. Surface water tax is a type of provincial tax imposed on taxpayers who take and utilise surface water. This research will determine how surface water tax rates are imposed and how surface water tax is calculated for taxpayers in accordance with North Sulawesi Province Regional Regulation No. 5 of 2018 concerning Regional Taxes. This research employs a qualitative descriptive approach to qualitative research. The results of this study definitively show that the Manado, Minahasa, Bitung, and Tomohon regions comply with the Regional Regulation of North Sulawesi Province No. 5 of 2018 on the imposition of surface water tax rates and calculations to taxpayers. However, there is clear evidence that the UPTD made a calculation error in relation to one of the surface water taxpayers in the Bitung area in 2021-2022. This has resulted in a discrepancy between the calculation results presented in this research and those provided by the UPTD.

Guangdong’s New R&D Institutes

In pursuit of technological development, China has created new organizations to promote innovation. This brief examines New Research and Development Institutes (NRDIs), which are designed to foster knowledge transfer to industry. NRDIs were pioneered in Guangdong province in the 1990s, and have gained prominence in China’s national science, technology, and innovation policies since the 13th Five-Year Plan (2016–2020). NRDIs are defined by their market orientation and extremely flexible organizational form. They work by establishing “innovation platforms” with local governments and private knowledge actors to carry out research and development (R&D), commercialize scientific and technological achievements, incubate local technology industries, and cultivate high-end talent. NRDIs have been instrumental to regional development in Guangdong, and especially Shenzhen, where they have succeeded in attracting talent from outside the region. NRDIs have important policy implications for international competition for talent. Understanding NRDIs is crucial for other countries that want to improve their own inter-regional innovation resources and respond to the challenge of China’s drive to attract global talent and knowledge resources.

CHALLENGES AND DYNAMICS OF THE MERDEKA FISH MARKET IN TANJUNG TIRAM, BATUBARA REGENCY

This study aims to analyze the challenges and dynamics faced by the Merdeka Fish Market in Tanjung Tiram, Batubara Regency, with a focus on the problems of street vendors who sell on the shoulder of the road. Ethnographic methods are used to deeply understand the social, economic, and environmental conditions of the market. The results of the study show that the existence of street vendors causes congestion, conflicts with official traders, and poor waste management. In addition, the lack of access to technology and information is an obstacle to increasing the competitiveness of traders. The study also found that efforts to control traders by local governments are often ineffective due to the lack of adequate alternative solutions. Therefore, better market space arrangement, infrastructure improvement, and collaboration between the government and stakeholders are needed. Recommendations include empowering traders through skills training, sustainable market management, and improving the quality of service for consumers. By implementing these suggestions, the Merdeka Fish Market is expected to function more optimally, provide benefits for all parties, and improve the economic welfare of the surrounding community. This research contributes to the development of informal economic theory and traditional market management, as well as a reference for further research on market dynamics in other regions.

Psychological needs and social comparison: a dual analysis of the life satisfaction of local workers with agricultural hukou

BackgroundBased on their place of employment, workers with agricultural hukou (WAH) are categorized into local workers with agricultural hukou (LWAH) and migrant workers with agricultural hukou (MWAH). Research shows that although LWAH often find themselves at a disadvantage in terms of labour income and access to public services, the significant growth of this group in recent years has drawn attention to their choice of workplace and the factors influencing it. Guided by the theories of self-determination and social comparison, this study aims to explore the impact of the differences between LWAH and MWAH in psychological needs and social comparisons on life satisfaction, as well as the underlying mechanisms.MethodsThis study utilizes data from the China Family Panel Studies (CFPS) from 2014 to 2020, employing a two-way fixed effects model to investigate the differences in life satisfaction between 1,976 LWAH and MWAH. Additionally, propensity score matching (PSM) is used to conduct regression analysis on the matched sample, providing a more accurate comparison of life satisfaction between LWAH and MWAH under similar individual characteristics. Finally, the study further examines the mediating effects of perceived social status and job satisfaction and analyses the differences in life satisfaction between LWAH and MWAH across dimensions such as generation, region, and work conditions.ResultsThe baseline regression results indicate that LWAH have significantly higher life satisfaction compared to MWAH, and this finding is robust to various tests. Mediation analysis reveals that perceived social status plays a mediating role in the difference in life satisfaction between LWAH and MWAH, while job satisfaction does not have a significant mediating effect. Heterogeneity analysis further shows that intergenerational, regional, and work condition differences have varying impacts on the life satisfaction of two groups.ConclusionsThis study provides important insights into understanding the workplace choices and quality of life of Chinese workers with agricultural hukou. Finally, to effectively promote situ urbanization processes, local governments need to prioritize enhancing workers with agricultural hukou (WAH)’s autonomy, sense of competence, and social status, thereby improving their perceived social status in society and attracting more labourers to return to their hometowns for work and entrepreneurship.

Sistem Pendistribusian Zakat oleh Baznas Kabupaten Langkat Menurut Undang-undang No. 23 Tahun 2011 tentang Pengelolaan Zakat: Studi Kasus di Desa Karang Rejo, Kec. Stabat, Kab. Langkat

UU no. 23 of 2011 concerning zakat management as a complement to the previous law, namely law no. 38 of 1999. This law provides institutional strengthening in integrated zakat management into a unified integrated system. In turn, the National Amil Zakat Agency becomes the only institution holding zakat authority, and the Amil Zakat Institution as a partner in assisting the National Amil Zakat Agency, as well as government oversight as a regulator. The research aims to answer the problem of how the distribution of zakat according to zakat law no. 23 of 2011 in Kab. Langkat. How is the zakat distribution system by BAZNAS Langkat Regency in Karang Rejo Village. What are the factors causing the delays of the BAZNAS distribution system in Langkat Regency. What is the strategy of BAZNAS Langkat Regency to increase the collection and effectiveness in distributing zakat in Karang Rejo Village, Langkat Regency. This research is a qualitative research using a legal sociology approach. The types of data used in this study are primary data and secondary data, secondary data as initial data obtained from primary and secondary legal materials, then followed by primary data or field data obtained from documents and interviews with several Amil Agency officials Langkat District National Zakat. The results of the study show that the National Amil Zakat Agency in Langkat Regency has not run optimally in the distribution of zakat due to several obstacles, one of which is the lack of synergy with the local government in terms of regulations that have an impact on non-optimal distribution.

Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China

A healthy rural ecosystem ensures a win–win situation for both economic growth and ecological conservation. However, the impact of land use changes at the rural level on ecosystem health remains unclear. This study focuses on the rural scale of Zheng–Bian–Luo, analyzing changes in land use from 2000 to 2020. Using the “Ecosystem Vigor-Organization-Resilience-Services” model, the study evaluates the spatiotemporal patterns of ecosystem health. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use and ecosystem health in 2035 under three scenarios: Natural Development (ND), Ecological Protection (EP), and Cropland Protection (CP). The findings are as follows: (1) From 2000 to 2020, the area of cultivated land in Zheng–Bian–Luo rural areas decreased, and the area of forest land first decreased and then increased. (2) During the study period, ecosystem health improved as ecosystem vigor, organization, and services increased. Low-value areas of ecosystem health showed a shrinking trend, most notably in Kaifeng. (3) By 2035, under the EP scenario, forest land increased by 76.794 km2, while it decreased under the CP and ND scenarios. Construction land showed an increasing trend in all three scenarios, with the ND scenario seeing the largest increase of 718.007 km2. (4) In 2035, ecosystem health is projected to decline under the ND scenario due to reduced forest land and increased construction land. The CP scenario showed no significant change in ecosystem health, but the southwestern rural areas of Luoyang improved. The EP scenario saw an overall increase in ecosystem health, highlighting land use optimization as beneficial. Local governments are encouraged to create ecological protection plans balancing ecological and cultivated land protection, focusing on sensitive areas such as the Songshan region and southwestern mountainous areas of Luoyang for coordinated development.

Memberdayakan Rumah Tangga untuk Pengelolaan Sampah Berkelanjutan: Studi Kesadaran Masyarakat di Kota Semarang

Environmental sustainability issues, particularly related to the increasing amount of waste, have become a major concern in Semarang, the capital of Central Java Province. The generation of waste is influenced by low public awareness, economic growth, and the presence of urban centers, industries, and educational institutions. Semarang has recorded a high economic growth rate, even surpassing the national average, contributing to the rise in waste. Various initiatives have been undertaken by the local government, such as establishing waste banks and implementing paid plastic bags, yet the waste problem remains difficult to solve without household awareness, as they are the largest contributors. This study employs a mixed-methods approach in six urban villages, with 50 respondents from each. The findings indicate that public awareness regarding waste sorting from households is still low, despite its crucial role in reducing waste volume and supporting environmental sustainability. Women, due to their domestic roles, play a key part in waste sorting, but the active participation of all community members is essential for the success of sustainable waste management programs.Keywords : environmental sustainability, waste management, waste sorting, household awareness, Semarang