The urgency of urban health in Indonesia is very worrying because most of Indonesia’s population now lives in urban areas with minimal supporting infrastructure. That prompted this study to analyze the government’s response to the healthy city development plan in the new capital city. This study uses a qualitative approach that focuses on thematic analysis. It helps check official government documents related to healthy city development plans. The relevant documents that were found were in the form of regulations. This regulation is Law of the Republic of Indonesia Number 3 of 2022 concerning the National Capital (Ibu Kota Negara, IKN). This official document was coded by maximizing the analysis tool, namely NVivo 12 Plus. This study succeeded in mapping several bare references in the healthy city development plan for the new capital city by the Indonesian government. Some of these primary references include the healthy city model (World Health Organization, WHO), the healthy city strategy (Cardiff), and (Vancouver). All of these primary references aim to improve the quality of life of residents in cities through city development that focuses on health. However, there are several challenges that the Indonesian government may face in the future, including problems with air pollution, environmentally friendly transportation, and the provision of green public spaces, health facilities, universal health services, and other infrastructure. This all requires adequate capacity and budget plans, including ensuring transparency in budget management. This study also encourages collaboration between the government, the private sector, and civil society to support the development of healthy cities that run well and sustainably.

Purpose: Religiosity as an intrinsic principle affects the sustainable behavior of consumers. Studies have been undertaken to discover the impact of religiosity on sustainable consumer behavior in various contexts, cultures, and countries. The current bibliometric study focused on religiosity and sustainable consumer behavior in Gulf Corporation Council (GCC) countries who has similar religions and cultures so that the research trend, contribution, and gap through thematic and content analysis could be investigated and future direction could be suggested. The literature for this study was solicited from 2016 to June 2024. Methodology: Bibliometrics and content analysis were used to study the existing literature on religiosity and sustainable consumption behavior in GCC countries. The VOS viewer was used to visualize literature and understand the network landscape of the research topic and their interconnectivity. Additionally, Scopus analytics and Microsoft Excel were used to review and analyze the religiosity of consumers regarding the sustainable consumption of products and services. Finding: The descriptive analysis revealed trends, prolific countries, and researchers in this area along with their affiliation. The co-occurrence analysis showed 3 main clusters of co-occurrences with various link strengths. The content analysis looked at the 6 clusters depicted by the coupling function and compared them against co-occurrence analysis to uncover related themes. This analysis produced 4 related themes for content analysis. Contribution: This research contributed to understanding the current themes, challenges, and the need for marketing strategies and action so that sustainable consumption could be encouraged. As such this research will fill the void in the current literature left in this research area. This research has practical and policy implications for businesses, organizations, and policymakers as they try to capture consumers for sustainable products and services in GCC countries.

This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.

In the face of growing urban problems such as overcrowding and pollution, we urgently need innovative ideas to build smarter and greener cities. Current urban development strategies often fail to address these challenges, revealing a significant research gap in integrating advanced technologies. This study addresses these gaps by integrating green technologies and artificial intelligence (AI), studying its impact on achieving smart and sustainable habitats and identifying barriers to effective use of these technologies, considering local variations in infrastructural, cultural, and economic contexts. By analyzing how AI and green technologies can be combined, this study aims to provide a vision that can be used to improve urban development planning. The results emphasize the significance of environmental responsibility and technological innovation in the development of sustainable urban environments and provide practical recommendations for improving the overall quality of life in cities through planning and urban planning.

Sanitation challenges are growing at unprecedented rates in the Middle East and North Africa (MENA) region, specifically in the country of Jordan, where more adversities are faced in the provision of inclusive and sustainable sanitation for marginalized communities. The overloaded water supply systems, strained by high population density in the face of political instability manifests itself in poor public health. How countries in the MENA region plan to handle these problems and improve the sanitation infrastructure is the starting point for this work. We aim to develop a comprehensive and multidisciplinary framework between stakeholders, aligned with the Sustainable Development Goals (SDGs), with a specific emphasis on SDG 6, for providing feasible, community-oriented approaches to sanitation issues in disenfranchised communities in Jordan through the Initiative Sanitation and Hygiene Networking in Jordanian Poverty Pockets (ISNJO) project. The findings will be used to formulate strategic guidelines and inform the development and subsequent initiation of innovative and multidisciplinary initiatives to tackle the sanitation and water scarcity challenges at hand.

Technology development in the agricultural sector is important in the development of Thailand’s economy. The purpose of this research was to study the approach of guidelines for future agricultural technology development to increase productivity in the Agricultural sector in order to develop a structural equation model. The research applied mixed-methodology. Qualitative research by in depth interview from 9 experts and focus group with 11 successful businesspersons for approve this model. The quantitative data gather from firm, in the 500 of agricultural sector by using questionnaire, using statistical tests of descriptive analysis, inferential analysis, and multivariate analysis. The research found guidelines for future agricultural technology development to increase productivity in the Agricultural sector composed of 4 latent. The most important item of each latent were as following: 1) Agrobiology Technology (= 4.41), in important item as choose seeds that for disease resistance and tolerate the environment to suit the cultivation area, 2) Environmental Assessment (= 4.37),, in important item as survey of cultivated areas according to topography with geographic information system, 3) Agricultural Innovation (= 4.30), in important item as technology reduces operational procedures, reduce the workforce and can reduce operating costs, and 4) Modern Management Systems (= 4.13), in important item as grouping and manage as a cooperative to mega farms. In addition, the hypothesis test found that the difference in manufacturing firm sizes. Medium and Small size and large size revealed overall aspects that were significantly different at the level of 0.05. The analysis of the developed structural equation model found that there was in accordance and fit with the empirical data and passed the evaluation criteria. Its Chi-square probability level, relative Chi-square, the goodness of fit index, and root mean square error of approximation were 0.062, 1.165, 0.961, and 0.018, respectively.