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Behind the good will of government to build flats for low-income communities, there was a reduction of socio-cultural essence of life of its inhabitants. Reduction is happening in social interaction, initially living in a neighboring village, later turned into a mood of alienation and limitations because living in flats story a lot. This study used qualitative rationalistic approach, which aims to reveal the patterns of communal space as a space of social interaction of residents, expected results will be the next design evaluation flats. Research on patterns of communal space is taking the case of flats located in the Bandarharjo. More than eighteen years, residents tried to build social interaction with neighbors although no longer made in the halls of the road as well as in the villages. Their efforts are utilizing the functions of each floor of the building and the lobby open spaces around the ground floor of the building for social interaction among residents. Utilization of space functions has resulted in a communal space patterns in groups with the intensity of the use of high, medium, and low. The communal lounge with high intensity use tend to be close to their house.

An essential micronutrient for rice growth is zinc. Rice grown in flooded fields is at risk of zinc deficiency. Applying zinc fertilizer through foliar spray is an effective method to meet the zinc nutrient requirement for rice plant growth. This study aimed to determine the proper ZnSO4 fertilizer dosage to provide optimal rice growth in several rice varieties. The research was conducted at the UNS experimental Garden. The first factor was the foliar ZnSO4 fertilization dosage consisting of 5 levels: without ZnSO4 fertilizer (D0), 12 kg ha-1 ZnSO4 fertilizer (D1), 16 kg ha-1 ZnSO4 fertilizer (D2), 20 kg ha-1 ZnSO4 fertilizer (D3) and 24 kg ha-1 ZnSO4 fertilizer (D4). The second factor consisted of Ciherang (V1), Mentik Wangi (V2) and Rojolele (V3) rice varieties. Statistical analysis in this study used analysis of variance 5% and DMRT test at 5%. The results found there was no interaction in rice varieties (Ciherang, Rojolele and Mentik Wangi) with zinc fertilization doses 12, 16, 20 and 24 kg ha-1. However, this study showed significant difference at single factor of rice varieties and zinc fertilization doses and significant increase in plant height, number of tillers, number of productive tillers, number of leaves per hill, fresh biomass weight and zinc concentration in plant tissues compared to the dose 0.

Energy efficiency and conservation are pivotal in addressing global energy challenges and promoting sustainability. This paper presents a comprehensive bibliometric analysis spanning 1976 to 2023, aiming to reveal the nuanced dynamics of the field. Utilizing the Scopus database and bibliometric analysis tools like VOSviewer, we explored publication trends, platform rankings, publication types, global distribution, and interconnected research themes. The dominance of top platforms like Energy and Journal of Cleaner Production underscored their significance, with insights into the role of conference proceedings and specialized platforms like Energy Efficiency. Journal articles prevailed, reflecting the academic community’s commitment to peer-reviewed channels, while diverse publication forms and subject areas highlighted a multifaceted approach. The global landscape showcased the United States’ leadership, with impactful contributions from Indonesia, fostering collaboration between developed and developing nations. VOSviewer visualizations revealed interconnected research themes, emphasizing the interdisciplinary nature of climate change and sustainable development. This study offers valuable insights for researchers, policymakers, and practitioners, guiding them to understand historical trends, identify influential platforms, recognize interdisciplinary patterns, and foster global collaborations to shape a more sustainable energy future.

This research aims to comprehensively map the stages at which food materials are discarded as food loss and food waste, drawing insights from existing literature. This study employs a systematic literature review methodology-the works of literature collected from reputable international journal databases. The findings of this investigation reveal a diverse array of research endeavors within the realm of food waste management. Researchers have undertaken endeavors to categorize different types of food waste, while others have delved into examining food resilience and waste generation in agricultural phases or amongst farmers. Distinct studies have concentrated on food resilience and waste issues encompassing traditional market traders. The academic community has also directed attention towards food waste in harvest, retail sales, followed by the hospitality industry, restaurant management, and household settings. The outcomes of this systematic literature review offer a foundational framework for delineating food waste patterns across agricultural, traditional market, retail, restaurant, hotel, and household contexts. Subsequent empirical research is poised to focus on categorizing food waste by type, identifying root causes, exploring mitigation efforts, and elucidating waste management strategies enacted by farmers, traditional market traders, retail stores, restaurants, hotels, and households.

The solar power plant is a rapidly growing renewable energy source that has a potential role in reducing climate change and replacing fossil fuels. Estimation of the power generated by a solar power plant is required to determine the energy supply. Unfortunately, the solar power generated is highly uncertain due to highly dependence to nature, such as solar radiation and weather. This makes the estimation of solar power generation to be very difficult. This study presents a development of machine learning to model a solar power plant for estimating the generated power. The machine learning is developed by implementing the k-NN algorithm. A data set of power generated in a solar power plant is applied to build the machine learning. The development resulted in a machine learning that models the solar power plant. Simulation test result show the machine learning was able to estimate the solar power generated with an accuracy of 69.6%. The developed model is very useful to estimate potential of solar power resource in a region. The developed model is very useful in feasibility studies to estimate the potential of solar power resources in an area.

Restoring hydrological functions affected by economic development trajectories faces social and economic challenges. Given that stakeholders often only have a partial understanding of functioning socio-hydrological systems, it is expected that knowledge sharing will help them to become more aware of the consequences of their land use choices and options to manage water collectively. This facilitates the collective learning tools needed to represent the essential social and technical aspects of a socio-hydrological system in simple terms. However, data-driven simplification can lead to very site-specific models that are difficult to adapt to different conditions. To address these issues, this study aims to develop a highly adaptable serious game based on process understanding to make it easily applicable to any situation and to facilitate co-learning among stakeholders regarding complex socio-hydrological problems. We developed and tested a serious game that revolves around a simple water balance and economic accounting, with environmental and financial consequences for land users. The game is based on process understanding of the system, allowing for both relevant site specificity and generic replicability. Here, we describe the development of the Water: Use, Resources and Sustainability (H2Ours) game and explore its capacity to visualise, discuss and explore issues at the landscape level. The H2Ours game was designed using a combination of the Actors, Resources, Dynamics and Interaction (ARDI) and Drivers, Pressure, State, Impact and Responses (DPSIR) frameworks. The design steps for constructing the game led to a generic version and two localised versions for two different landscapes in Indonesia: a mountain slope to lowland paddy landscape impacting groundwater availability in East Java and a peatland with drainage rewetting, oil palm conversion and fire as issues triggering responses in West Kalimantan. Based on an evaluation referring to credibility, salience and legitimacy criteria, the H2Ours game met its purpose as a tool for knowledge transfer, learning and action triggering. We discuss the steps that can lead to re-designing and adaptation of the game to other landscapes and their policy-relevant issues. [ABSTRACT FROM AUTHOR]

The proliferation of private cities globally has spurred academic interest in understanding this evolving urban phenomenon. This paper presents a comprehensive bibliometric analysis of global research on private cities, aiming to elucidate key trends, thematic priorities, and collaborative networks within the literature. Employing bibliometric methodologies, data was collected from online academic sources and analyzed using VOSviewer software. The results reveal a sustained increase in publications on private cities since 2012, indicating a growing scholarly interest. Publications predominantly consist of journal articles, reflecting a preference for in-depth analyses. The research spans various subject areas, highlighting the interdisciplinary nature of private city studies. The analysis identifies the United States, the United Kingdom, and Germany as leading contributors to the literature, with diverse representation from emerging economies like India, Brazil, and Indonesia. Additionally, academic institutions such as Universitas Pembangunan Jaya and The University of Sheffield have emerged as prominent contributors. Notable researchers include Ablo, Barbieri, and Biswas, among others. Network visualizations reveal distinct thematic clusters, covering topics ranging from settlement patterns and social capital to new industry cities and healthy cities. The findings underscore the global socio-economic, environmental, and governance dynamics shaping private urban development. This study contributes to a deeper understanding of private cities' significance in contemporary urban studies and offers insights for future research directions and policy considerations. The study's main implications emphasize the need for urban policy frameworks that integrate interdisciplinary approaches and international collaboration for sustainable development in private cities. [ABSTRACT FROM AUTHOR]

D. stratiotes is one of the endemic dendrobiums from Indonesia that grows in lowland rainforests. D. stratiotes is listed as a threatened orchid species due to the lack of available data, which results in a high uncertainty and insufficient information. This study aims to provide preliminary information of jasmonic acid effect on D. stratiotes growth in vitro in order to improve propagation techniques in agricultural practices. The exogenous application of jasmonic acid exerts a regulatory role on the plant's growth and development. This study was designed as a completed randomized design (CRD). VW medium was supplemented with jasmonic acid (0, 0.2, 0.8, 1, 1.5, 2 mg.L-1). There were 5 replications. The observed variable in this study includes leaves number, plant height, plant weight, roots number, root length, leaf anatomy, and root anatomy. Statistically, 1 mg.L-1 of jasmonic acid significantly influenced the plant height, leaves number, plant weight, and roots number which resulted in 10.16 cm, 6.53, 1.18 g, and 9.53, respectively.

Black and red rice contain nutritional values not found in white rice. They contain anthocyanins which are beneficial to health. Drought stress can potentially reduce rice yield. So, it is necessary to develop local black and red rice into tolerant cultivars. This study used a completely randomized design (CRD) with cultivar factor (V) and drought stress level (K). Drought stress treatment was carried out when the plants were 35-95 DAP (days after planting) using the modified gravimetric method. Plant destruction was conducted at 7 and 21 DAT (days after treatment) to measure the growth analysis component. The observation of the growth analyses was plant dry weight, leaf area (LA), specific leaf area (SLA), relative growth rate (RGR), and net assimilation rate (NAR). Agronomic characters by observing shoot-root ratio and flowering age. The results showed drought stress decreased plant dry weight, leaf area, and relative growth rate on Sragen black rice. Jelitheng Karanganyar showed high RGR and NAR under drought stress and the fastest flowering age response. Wonogiri black rice gave the growth response by reducing specific leaf area. The highest shoot-root ratio was shown on Wonogiri black rice.