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In “low-cost” solutions, ensuring economic accessibility and democratizing the availability of emerging technologies stand as pivotal considerations. This study undertakes a systematic literature review of low-cost 3D mapping solutions. Leveraging SCOPUS as the primary database, a comprehensive bibliometric analysis encompassing 1380 publications was conducted, subsequently narrowing the focus to 87 recent publications for detailed review. This research endeavors to delineate the defining characteristics of low-cost systems, elucidate their principal applications and preferred platforms, assess accessibility level, gauge the extent of innovation in both hardware and software development, explore the contributions of Deep Learning and data fusion, evaluate the consideration of data quality, and examine the contemporary relevance of photogrammetry within low-cost context. The findings demonstrate that many authors subjectively use the term low-cost to highlight qualities of a technology, methodology or sensor, but challenges arise from data quality comparisons with high-cost systems.

 

 

This research aims to determine the compounds produced from the pyrolyzed Low Linear Density Polyethylene (LLDPE) using Fourier Transform Infrared (FTIR) and Gas Chromatography-Mass Spectroscopy (GC MS). We used pyrolysis of 985 g of 2-mm diameter LLDPE plastic ore at a temperature between 192-194°C for 135 min using a batch reactor (length x width x height = 35 cm x 24 cm x 44 cm) equipped with an outlet connected to two condensers (24°C). To ensure the chemical results, the reactor was connected in series to condensers 1 and 2. The results obtained in condenser 1 were 3 mL of 2-phase liquid with a strong odor. The upper fluid is yellow, and the lower fluid is brown. In condenser 2 (connected directly to condenser 1), 4 mL of yellow single-phase liquid was produced with a strong odor. The liquid obtained from the pyrolysis process was then analyzed by FTIR and GC-MS. FTIR results on both samples showed that the samples contained the functional groups O-H, CH₂, and C=O. The GC-MS results on condenser sample 2 showed that the pyrolysis product contained acetone compounds. This confirmed that pyrolysis caused chemical structural changes in LLDPE due to LLDPE chain bond-breaking reactions, producing many smaller chemical compounds. Additionally, some oxidation happens, which is due to the oxygen content in the reactor. This study provides new insights into the LLDPE pyrolysis mechanism and the physical and chemical properties of the liquid resulting from the pyrolysis process.

 

 

Scholarly publishing in the fields of science and engineering plays an important role in developing and disseminating knowledge. In this context, bibliometric analysis is used as a method and tool to understand trends, patterns, and impact of scientific publications. The main objective of this research is to carry out bibliometric analysis of articles published by Semarak Ilmu Publishing. Information about productivity, collaboration, and impact of publications based on the keyword “Semarak Ilmu Publishing” as publisher was explored to provide better insight into their potential contribution to improving understanding and development in the fields of science and engineering. Based on the analysis, the number of articles that were published in 2019-2024 reached more than 40 articles with the number of articles per year being 45 articles in 2019, 75 articles in 2020, 50 articles in 2021, 79 articles in 2022, 66 articles in 2023, and 17 articles in 2024. For the case of 2024, since it is still at the beginning of the year, the number of publications is still low. Apart from that, each article has been widely cited by other authors with an average citation per year of 263.53 citations. This research becomes an initial basis for further evaluation of Semarak Ilmu Publishing and its contribution to supporting the scientific ecosystem.

 

 

Using virtual laboratories for practical learning in vocational education has significantly increased in recent years. This study aims to analyse virtual laboratory research trends for practical learning in vocational education through bibliometric analysis by taking data from Scopus (intro/issue). The method used in this bibliometric journal article is the bibliometric method. This research step consists of (i) determining search keywords, (ii) collection of publication data, (iii) bibliometric data processing, (iv) bibliometric data mapping, and (v) data analysis. The search keywords used to collect data were “Virtual laboratory,” “Vocational,” and “Education.” There are 31 articles indexed by Scopus from 2002 to 2023. From 2019 to 2023, research on virtual laboratories in vocational education has increased. This is because access to computer technology, the internet, and mobile devices is increasingly widespread, and a surge in technology use occurred during the COVID-19 pandemic. The results of the bibliometric mapping analysis show there are 24 terms grouped into 3 clusters. The terms virtual laboratory and vocational education are related in research. Virtual laboratories help overcome problems in vocational education, especially for productive vocational subjects such as working on dangerous equipment.

 

 

This study examines the development of books and articles in the field of learning models and arts. The goal is to provide analytical data on the development of research publications in the fields of education and the fine arts. The research process uses bibliometric data review methods with VOSviewer detection. The analysis was retrieved based on the data provided by the keywords “learning model” and “art” in the last 5 years from 2018 to 2023, as shown in Publish or Perish. The results of this research show that the development of research on fine arts learning models is developing and always increasing from year to year. The number of publications in the form of books was 133, while the number of articles was 117. If we compare the number of publications in the form of books and articles, there are more books, which shows that publications in the form of books are more popular with researchers than publications in the form of articles.

 

 

The purpose of this research is to analyze students’ interpersonal intelligence in the era of science and technology with the VOSviewer application. In addition to VOSviewer, Publish or Perish method is also employed in this study. The keywords used are “interpersonal intelligence” and “Era of science and technology” on the search which resulted in 1000 relevant articles published from 2018-2022. Based on the research results, the number of published articles on interpersonal intelligence has increased from 2018 to 2021, but there has been a very drastic decrease in 2022. In more detail, the article findings can be described as follows: in 2018, there were 189 articles found; in 2019 there were 191 articles; 202 articles in 2020; 195 articles in 2021; and 138 articles in 2022. This research is intended to assist researchers who will conduct and determine research on the same theme

 

 

Machine learning and deep learning are currently widely used in various fields, including remote sensing for food security. However, there is no research that specifically examines the interests, developments, and trends of this research in the future. This study aims to examine the development of machine and deep learning research for mapping food crops through a bibliometric approach with computational mapping analysis using VOSviewer. Article data was obtained from the Google Scholar database using the publish or perish reference manager application. The title and abstract of the article were used to guide the search process by referring to the keyword “Machine and Deep Learning Mapping Food Crops”. 114 relevant articles were discovered. Google Scholar-indexed articles over the last ten years, from 2014 to 2023, were used as study material. The results show that machine research and deep learning for mapping food crops can be separated into three terms: machine learning, deep learning, and plant mapping. The term “Crop Mapping” has 57 links for a total of 199 links. The term “machine learning” has 41 links for a total of 79 links, and the term “deep learning” has 26 links for a total of 41 links. The results of the analysis of machine development and deep learning publications for mapping food crops in the last 10 years show a constant increase. The peak of the increase occurred in 2021 and 2022, namely 25 articles published per year, respectively. This means that this research topic is still relatively new in terms of interest and exploration, therefore there is still room further research. We examine numerous articles that have been published on machine and deep learning for crop mapping and their relation to the field studied with VOSviewer. This review can serve as a starting point for further research in different domains.

 

 

This study aims to examine the development and trends of research related to radicalism in the context of digital technology. Research data was obtained using the Publish or Perish reference manager application by taking references from journals indexed by Google Scholar. A total of 907 articles relevant to the keywords “Radicalism” AND “Digital Technology” from 2018 to 2023 were collected. The data was then analysed and visualized using the VOSviewer application. The results provide insight into the development of radicalism research in the era of digital technology. Bibliometric analysis reveals year-to-year research trends, the main contribution of citation counts, and the development of key concepts in the literature. The results of this study can provide a foundation for future research into a better understanding of radicalism in the context of digital technology.

 

 

In this editorial, we will introduce the contributions to the Special Issue entitled “Measuring Open Access Uptake: Databases, Metrics, and International Comparisons.” The contributions to this Special Issue explore the methods and metrics that are used to assess open access (OA) uptake across disciplines and regions, a crucial topic considering the growing push by several research institutions worldwide to achieve 100% OA. We will discuss the impact of OA on scholarly publishing, focusing on how economic factors and discipline-specific practices shape its adoption. Additionally, we will examine the transformation of OA models, the citation benefits of a hybrid OA model, and regional perspectives. Our analysis identifies key challenges and disparities in OA adoption and suggests future directions for achieving sustainable and equitable access to research.

 

 

The steady increase in academic production has been paralleled by a surge in the number of bibliometric and systematic literature reviews (SLRs) published. Over the years, scholars began to combine bibliometric analyses with SLRs. However, such combined approaches relied on fragmented methodological suggestions without clear guiding frameworks. This article introduces integrated guidelines for undertaking multi-method literature reviews, combining bibliometric analyses with SLRs and theory development, which we call ‘Bibliometric-Systematic Literature Review’ (B-SLR). In doing so, we develop a 10-step process on how to apply the B-SLR. In each of the proposed steps, we discuss critical decisions and best practices to support researchers while crafting meaningful and theoretically relevant literature reviews. The B-SLR is intended as a flexible toolbox designed to accommodate diverse research objectives in the miner–prospector continuum, spanning from reviewing, theorising, tracing future roadmaps or creating bridges among different topics. The B-SLR incorporates the pillars of critical analysis, timeliness, coverage, rigour, coherence and originality of contribution, also emphasising the need for a novel and relevant theoretical contribution. The B-SLR is supported by a companion website, providing additional resources to assist researchers in this 10-step process: https://www.b-slr.org.