This research aims to better understand how the COVID-19 pandemic has affected children's social, emotional, and moral development. Articles and related studies were gathered from the Education Resources Information Centre (ERIC), Scopus, and Science Direct databases. After a quality review following the PRISMA 2020 protocol, 16 articles were selected for a systematic literature review (SLR). The findings from this review were organized into four main themes: (1) the impact of technology and distance learning on children, (2) children's behavior and emotions, (3) the conditions of people around them, and (4) social support. It is suggested that future studies focus on the positive effects of COVID-19 on education. © 2024 The Authors...

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The research was done to analyze the quality of the coloring result of mangsi (phyllanthus reticulatus) fruit extract as natural dyes in cotton fabric dyeing. Extraction method was carried out through maceration process using some solvents namley water, ethanol, acidic ethanol, methanol, and acidic methanol in a ratio of 1:10 with pre-mordanting and fixation using mordant alum, calcium carbonate, and ferrous sulphate. The conducted observations included color direction test, color opacity test and color fastness to soap washing test. The result of color direction was brown to yellow-orange and blue to dark blue. The value of color opacity on cotton fabrics was in the “medium” to “very opaque” color category. The resulting value of color fastness to soap washing test was in the “good” to “poor” category. The dyeing results on cotton fabric generated an even color. © 2024, Semarak Ilmu Publishing. All rights reserved...

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In this work higher Cu2+ removal efficiency was achieved by graphene oxide GO-based electrode with the constant magnetic field (CMF)-assisted electrodeposition system. The GO was initially synthesized by the electrochemical exfoliation method in the electrolyte containing custom-made surfactant. The as-prepared GO solution was then spray coated on the pre-heated stainless steel-cathode before annealed at 400°C for 1 hour. GO-based electrode with CMF-assisted electrodeposition system was successful removed 89.1% of Cu2+ from aqueous solutions as compared to the electrode without GO of only 75.5% of Cu2+ removal within a fixed 3 hours’ time. The efficient of Cu2+ removal by GO-based electrode was believed due to the high specific surface area of GO that increases the accommodation of the active species (Cu2+) at the electrode surfaces. In the meantime, it was found that the presence of CMF of 23 Gauss parallel to cathode surfaces enhances the convection and mass transport of Cu2+ char.....

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Dye-sensitized solar cells (DSSCs) are a promising alternative to traditional silicon-based photovoltaic systems due to their efficient light-to-electricity conversion. A critical component of DSSCs is titanium dioxide (TiO2), responsible for converting light into electrical energy. Spray pyrolysis was one of the methods for fabricating TiO2 thin films. However, there are several drawbacks, such as challenges in particle size control, maintaining homogeneity of the thin film, and scalability issues during the deposition process. Modifications to the manufacturing process are necessary to achieve optimal performance in DSSCs, particularly with the thickness of the cell. This work focuses on the 2-axis spray pyrolysis process, a cost-effective way to create thin and thick films. In particular, it focuses on TiO2 thin films utilized as working electrodes in DSSC applications. The method was performed at different motor speeds, namely MS80, MS100, and MS120. The X-ray diffraction (XRD) spe.....

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According to the World Health Organization's (WHO) external situation report on the multi-country outbreak of Monkeypox in 2023, from 11 countries in Southeast Asia Regions, Thailand recorded the highest reported cases, totaling 461. The ongoing Monkeypox outbreak has raised significant public health concerns due to its rapid spread across several nations. Early detection and diagnosis are imperative for effectively treating and controlling Monkeypox. Given this context, this study aimed to determine the most efficient model for detecting Monkeypox by employing interpretable deep learning techniques. This study utilizes deep learning techniques to diagnose Monkeypox based on images of skin lesions. We evaluate based on four models— convolutional neural network (CNN), gated recurrent unit (GRU), long short-term memory (LSTM), and bidirectional long short term memory (BiLSTM)—using a publicly available dataset. Additionally, we incorporate Local Interpretable Model-Agnostic Explanati.....

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Due to the increasing stormwater runoff in urban areas, stormwater infrastructure requires modification to address the flash flooding issues. Occurrences of floodwater overflowing the urban drain have urged drainage engineers to re-look its design. Conventionally, the urban drain is designed to free flow following the provided drain slope. This paper is challenging the old design by introducing orifices into the drain. The lesser-known stormwater characteristics restricted by orifices in open drains were investigated. In this case, twenty-four units of terrace houses were selected as the study area with special attention to the 170 m front drain with a dimension of 0.5 m x 0.55 m. The drain was inserted with one to three orifices of 0.45 m diameter separating the drain into one or more compartments. Three scenarios were formulated, namely S1 with one orifice plate at 170 m, S2 with two orifice plates at 86 and 170 m, and S3 with three orifices at 50, 110 and 170 m, from the starting po.....

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Agriculture 4.0 plays a crucial role in shaping sustainable cities and societies by revolutionizing urban food systems. By incorporating advanced technologies like precision farming, vertical gardening, and data analytics, Agriculture 4.0 improves local food production, reduces food transportation, and optimizes resource utilization. This paper introduces an innovative approach using Multi-Criteria Decision Making (MCDM) to assess Agriculture 4.0 Decision Support Systems (ADSS), contributing significantly to the selection of optimal systems that can drive sustainability in smart agriculture. The novelty of this research lies in developing a comprehensive evaluation framework that extends the hyperbolic fuzzy-weighted zero-inconsistency method for criteria weighting, combined with the combinative distance-based assessment method for benchmarking ADSS. The assessment matrix evaluates 13 ADSS across eight key criteria, including “accessibility,” “re-planning,” “expert knowledge,.....

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This study explores the impact of instructional leadership and teacher self-efficacy on job satisfaction among teachers in Indonesian Islamic Senior High Schools (Madrasah Aliyah), focusing on the mediating role of school climate. Instructional leadership plays a crucial role in shaping a positive school environment, which can enhance teacher job satisfaction by providing necessary guidance, resources, and support. A mixed-method approach was employed, with data collected from 219 teachers using validated survey instruments. The Content Validity Index (CVI) was used to ensure instrument reliability. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships between variables and the mediating effect of school climate. The results show that instructional leadership significantly impacts both school climate and teacher job satisfaction, with path coefficient values of .463 and .818, respectively. However, school climate did not .....

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The Covid-19 outbreak rapidly became a global pandemic in December 2019, spreading through droplets, direct contact, and possibly airborne transmission. Southeast Asian nations like Malaysia and Indonesia experienced delayed outbreaks but saw a surge in cases. Analysing Covid-19 spatial patterns, especially concerning temperature and humidity, provides valuable insights. Utilizing remote sensing, allows studying the correlation between temperature conditions and Covid-19 outbreak patterns. This study focuses on investigating the impact of urban heat islands (UHIs) on Covid-19 outbreaks in Jakarta and Greater Kuala Lumpur, given their significant caseloads in Indonesia and Malaysia, respectively. The research integrates remote sensing, secondary data, and statistical analysis methods. Remote sensing was used to acquire land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI). The analysis revealed that industrial and commercial areas were hotter than others durin.....

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As a city located in the northern coast of Central Java, Semarang continuously faces serious challenges related to annual tidal flooding. This research specifically examines the multi-temporal distribution of tidal floods in the 2020-2024 time span. Using the Change Detection method on Sentinel-1 SAR satellite imagery, the distribution of tidal flooding during this period was determined. The data obtained was then further processed with overlay techniques to produce more detailed information. This technique allows for mapping areas with different levels of tidal flood vulnerability, and the overlay results were used as one of the parameters in the Composite Mapping Analysis (CMA) method, which integrates various related parameters. The results point out that the coastal areas of Semarang City, including the sub-districts of Tugu, West Semarang, North Semarang, East Semarang, Gayamsari, and Genuk, are dominated by high vulnerability levels. These areas have a high vulnerability percenta.....

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