bluuebunny/crossref_metadata_2025 huggingface dataset:
Fairylands: Bermuda’s ‘Idyllic’ (and Exclusive) Enclave
Authors: Goggin Peter
Published: April 2023

19th century Victorian-era romanticism fuelled popular fascination with fairytales and a trend of fairy-themed place naming in Britain and its colonies and territories. The idealising of small islands that served colonial interests as plantations, prisons, military outposts, and maritime trade posts as idyllic, picturesque, fairytale places evoked attributes of empire while maintaining the status quo of dominant colonial culture. The development of tourism, offshore financing and real estate industries perpetuated the idealism of fairy-themed imaginative place naming of islands and island locations into the next century. This article examines the case of Bermuda as a promoted ‘fairy land’ and its exclusive enclave, Fairylands, through a synthesis of archival analysis and auto-ethnography and contributes to the development of toponymic studies in island research and culture.
Melusine and the Starbucks’ Siren: Art, Mermaids, and the Tangled Origins of a Coffee Chain Logo
Authors: Allison Sarah
Published: April 2023

Melusine, the snake- or fish-tailed heroine of a medieval legend, has been labelled in modern sources as the mermaid in the Starbucks’ coffee chain logo and has become a generic name for two-tailed mermaids. However, it is unclear how the traditionally one-tailed Melusine became linked to this image. Tracing the source of the Starbucks’ logo leads to an obscure end, but similar double-tailed mermaids abound in art and heraldry. Melusine entered heraldry as the mythical ancestress of a few families, and in 19th century works on heraldry, the names mermaid, siren, and Melusine are used interchangeably for mermaids with one or two tails. This article seeks to demonstrate that Melusine’s name became specifically tied to the two-tailed mermaid only after Sabine Baring-Gould’s 1866 study of the legend, which used one such picture as an illustration. Subsequent authors began identifying this illustration as Melusine and labelling similar images accordingly. This shows how visual representation affects the transmission and public perception of myths.
“Our Island Fortress” and the Sea: The threat of a cross-Channel Nazi invasion and the maritime traditions that helped save Britain, 1940–1941
Authors: Dettman Sean
Published: April 2023

Britain’s wartime ‘Island Fortress’ propaganda campaign of 1940-1941 projected the language and imagery of a united British people ready to defend their island nation against the threat of a cross-Channel Nazi invasion. Embedded in this patriotic, belligerent, propaganda construct was the insularity and protracted position of ‘Deep England’ that celebrated the rolling hills and British countryside and inspired resistance against advancing Nazi forces. This study shows that the ‘Island Fortress’ propaganda campaign was equally grounded in the language and imagery of Britain’s relationship with the sea, and its long-standing maritime traditions and institutions that commanded its power. However, it does not assume that one or other forces had a particular effect; rather it examines how these factors show a cumulative picture.
Ruminating on Seaweed: An Annotated Photo‐Essay. Exploring the Film‐Philosophy of Pierre Creton with the Seaweed‐Eating Sheep of North Ronaldsay
Authors: Shaw Jon
Published: April 2023

In 1993, recently graduated filmmaker Pierre Creton returned to his rural Normandy roots. There, he has continued to make films alongside his neighbours in the agricultural environment to which he remains intimately tied. His philosophy of film‐ making is summarised in the title of a 2010 book, Cultiver, habiter, filmer – inhabit, cultivate, film. Contrary to more traditional notions of framing, distance and objectivity, here lens‐based media is recognised as an apparatus that takes us into an aleatory, reciprocating process of inhabiting, nurturing and being nourished by a place – its geology, architectures, rhythms and populations, human and nonhuman. The ethics of encounter, ecology and openness is intimately embroiled in Creton’s growing, beekeeping and animal husbandry, as well as his art making. This photo‐essay and accompanying text investigates Creton’s maker‐philosophy in the context of the Orcadian island of North Ronaldsay, famous for its seaweed‐eating sheep, kept at the littoral edges by the island’s stone dykes – themselves a high‐maintenance apparatus. Led by Creton's ideas, through observation and habitation‐with, these sheep become for the artist‐writer more than subjects for the camera; they become guides as to how to inhabit and cultivate the watery margins of the archipelago. They become exemplary artists in their own right.
Fear of a Black Mermaid
Authors: Noveliss
Published: April 2023

Noveliss’s track ‘Fear of a Black Mermaid’ was released on his Vagabond EP in November 2022, responding to a social media furore about the casting of Black performer Halle Bailey as the lead in Disney’s live action remake of its 1989 film The Little Mermaid. A self-produced music video for the song was also released in January 2023. The lyrics, music track and music video are reproduced in Shima as significant contributions to debates around racism, racial stereotypes and popular culture triggered by the film.
Beyond Quintessential Englishness: Wet Leg’s idiosyncratic rendition of the Isle of Wight
Authors: Hayward Philip , Hill Matt
Published: April 2023

One of the most successful new acts in the international anglophone music scene in 2022 was Wet Leg, an indie (i.e. independent music label) ensemble led by singer-guitarists Hester Chambers and Rhian Teasdale. The band attracted attention for its effective pop-rock compositions and arrangements, the sardonic tone of lead singer Teasdale’s delivery of their debut single ‘Chaise longue’ and the band’s inventive music videos. One element that was prominent in the band’s biographies was its origin in the Isle of Wight (IOW), a diamond shaped island lying off the south coast of England, close to the major port cities of Portsmouth and Southampton. The island provided both an insular context for the development of the band and an element of ‘domestic exoticism’ within the UK market. The latter aspect was also manifest in the band’s decision to employ a female Morris (traditional folk dance) troupe to accompany its performance at the 2023 BRIT Awards, where it was awarded prizes for best group and best new artist. This article focuses on the role of the IOW in the band’s biography, perception and oeuvre, with particular regard to its self-produced music videos, and the nature of the island as a repository of what might be regarded as quintessential English sensibilities that the band has inflected in ways that appeal to both domestic and broader audiences.
The phenomena of the use of the diglossia language in the learning interaction of Indonesian language: A case study of a junior high school in Cilegon City
Authors: Riansi Erwin Salpa , Suyitno Suyitno , Winarni Retno , Suhita Raheni
Published: April 2023

This study was conducted to explain the phenomenon of the use of diglossia language which still often occurs in the learning environment. Thus, in order to provide a solution to these symptoms, it is necessary to first explain the phenomena that occur or are behind them. The phenomenon in the use of diglossia language occurs because of the process of cultural mixing in the use of language and the dualistic attitude shown by Indonesian language teachers, especially Indonesian language teachers at the Junior High School of Cilegon City. Based on the research that has been done, it was found that teachers have been stuck between following the rules of language or getting closer to students by ignoring the rules of language. It is known that today's students are very thick in the use of language that is influenced by the media, what they see on television, or social media. So that this phenomenon goes unnoticed by teachers and students in the learning process. The results of the study were found by using a phenomenological approach that focuses on the object of study on the situation or phenomenon behind it.
An exploration of the public health implications of the network scale-up method (Preprint)
Authors: Jing Liwei , Yu Hongmei , Lu Qing
Published: April 2023

BACKGROUND

The network scale-up method (NSUM) was recommended by the United Nations Programme on Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome and the World Health Organization to estimate the sizes of the populations at high risk of HIV infection in 2010; however, we found that the NSUM also revealed underlying population characteristics of female sex workers (FSWs) in addition to being used to estimate the size of the FSWs population.

OBJECTIVE

We aimed to conduct a further exploration of the public health implications of the NSUM.

METHODS

An NSUM survey was conducted to estimate the size population of injecting drug users (IDUs) in the urban district of Taiyuan, China in 2021.

RESULTS

The estimated size of the IDU population in Taiyuan was 1,244 (95% CI: 1,011-1,477), corresponding to 0.044% (95% CI: 0.036%-0.052%) of the adult population aged 15-64 years. The estimated popularity ratio of the IDU population was 0.535 (95% CI: 0.512-0.558), and the estimated information transmission rate was 0.879 (95% CI: 0.867-0.892).

CONCLUSIONS

The NSUM revealed that the IDU population have smaller sized personal social networks while concealing their high-risk behaviours, and these underlying population characteristics are extremely useful for planning appropriate service delivery approaches with the fewest barriers for high-risk populations to access HIV prevention services.
Analysis of Cultural Connotation Differences of Animal and Plant Words between Chinese and English from the Perspective of Cross-cultural Communication
Authors: Zhou Qi
Published: April 2023

Cross-cultural communication refers to the communication between people with different cultural backgrounds. Language in the process of communication will reflect a person’s cultural background and thinking. Language is the carrier of culture, while word is the most basic unit and component of language. Nations have formed cultures with their own characteristics in the long history where the connotation of words would be affected by cultural differences. Therefore, to reduce cultural conflicts and misunderstandings, it is necessary to understand the differences between Chinese and English words. Based on the perspective of cross-cultural communication, this paper analyzes the differences in the connotation of animal and plant words in Chinese and Western cultures, aiming to further improve cross-cultural communication awareness and translation ability.
21st Century Graffiti Dialog
Authors: Wakeland Robin Gay
Published: April 2023

Case studies with photos from 2012-2016 police and court reports tracked Dallas, Texas metropolitan area transit graffiti incidents. Comprised of primarily strings of Roman alphabet letters resulting in incoherency, graffiti engaged with and resulted in various law enforcement responses. These art forms were compared with global graffiti interpretations ranging from anti-language to multiculturalism. Graffiti writers set up dialog with society.
Emotion Detection on Social Media
Authors: Mahant Gaurav D. , Tandure Vinit R. , Mane Maya I. , Muthe Akanksha N. , Karve Prof. Abhijit C.
Published: April 2023

Abstract: We proposed combine approach of BiLSTM and CNN to capture the emotional information from the words we are going to train BiLSTM model to get the semantic information from the words and parallelly we will be training CNN to get emotional information from the words. We will be using FastText word vector method for obtaining vectors from words unlike Word2Vec it operates at more minute level with character n grams. CNN and RNN are more efficient in finding the patterns out of large dataset. Due to the Word2Vec it opened entirely new approach to NLP. LSTM algorithms are quite popular in NLP field there were used in many emotion detection model due to their ability to find semantic meaning of words but they fail to capture information about the words. CNN models are quite fascinating and due to their ability to find the complex pattern among the images they are getting lot of attention in NLP. But, they are subjected to many limitations as network is designed to handle single dimension so it became vague how they are going to generalizes multi class prediction.
Design of Traffic Intersection
Authors: Sivasanthosh C.
Published: April 2023

bstract: Transportation contributes to the economic, industrial, social and cultural development of any country. Traffic congestion is a major problem due to the unexpected growth of private vehicles in a country. The intersection is the most important part in any highway, Because the traffic congestion is due to this. An intersection is defined as the general area where two or more highways join or cross, within which are included the roadway and roadside facilities for traffic movements in that area. In this project, an intersection at Tirupur was taken for analysis. All the necessary traffic parameters of the intersection was collected and analyzed. The intersection is designed as per IRC standards ensuring safe and efficient movement of vehicles at intersection
Patient Obligation Perceiver Using Eye Gestures
Authors: Sarika N , Varma C. Ravi , Gayatri K. , Sushma K. , Varun M.
Published: April 2023

Abstract: We might have encountered some people who suffer from paralysis, had just undergone surgery, or have strange syndromes (such as Locked-In, Quadriplegia, etc.). They might not be able to speak or move their body. People in these circumstances may find it difficult to communicate, which could have an impact on their health. Consequently, a system that can inform the care taker of their basic needs is necessary. As a result, we can develop a method by which the patient can readily communicate his or her needs through eye gazes. To link these movements with an alphabet that is predefined for each purpose, we can apply the idea of Morse code. This alphabet is then used to find the need in the dataset and create a visual and auditory alert for the nurse/care taker.
Application for Solution to Identify and Solve Disease in Plants/Crops
Authors: Bardekar Prof. A. A. , Lawange Akshada , Lavange Nikhil , Agham Prapti , Rathi Sakshi , Umathe Aman
Published: April 2023

Abstract: Despite The Indian economy depends heightening on agribusiness proficiency a divide is at stake when a plant is struck with a sickness that causes a essential hardship in era money related incidents and a reducing inside the quality and sum of agrarian things it is significant to recognize plant contaminations in orchestrate to expect the mishap of provincial abandon and sum plant diseases are challenging to screen physically since it requires a mind blowing deal of work skill on plant contaminations and expect planning time this will be fulfilled by utilizing picture planning strategies for plant ailment revelation alter illness figure system can be made utilizing machine learning strategies to absolutely anticipate the occasion of contaminations in crops the system can be arranged to dismember distinctive characteristic and weather-related factors that can impact the prosperity of crops.
Website Traffic Forecasting Using Deep Learning
Authors: Dharani D. Leela , Bindu B. Hema , Chaitanya D. , Yamuna G. , Reshwanth M.
Published: April 2023

Abstract: Nowadays, there is an increasing emphasis on how to predict traffic on web pages, and there is a need to explore different methods for effectively predicting future values of multiple time series. Evaluating website traffic on a web server is crucial for web service providers because, without proper demand forecasting, customers might face long waiting times and abandon the website. However, this is a difficult task because it requires reliable predictions based on the arbitrariness of human behavior. The most effective way of transmitting information would be to predict network traffic and display it visually. Nowadays we depend too much on Google's servers, but if we wanted to host a server for many people, we might have predicted in advance the number of users to prevent server failure. Time series prediction is important in many different areas. Although there are already many systems and models for predicting Internet traffic flow, most of them use shallow traffic models and are still somewhat unsatisfactory. Therefore, we will use deep learning techniques based on current and past data to predict future traffic.
Early Detection of Eye Disease Using CNN
Authors: Erdin Muh. , Patel Prof. Lalitkumar
Published: April 2023

Abstract: The eyes perform an essential part of life. The eye is one of the organs that assist humans learn about their natural environments and collect information from them. Almost everywhere in the world, the frequency of eye disease has increased, needing a serious response. Immediate eye detection will be invaluable assistance in offering further treatment to prevent blindness. In this study, a Convolution Neural Network model is used for identifying eye diseases. This research aims to categorize human eyes into four categories: trachoma, conjunctivitis, cataract, and healthy. The investigation got an accuracy of 88.36%, while the CNN model evaluation provided Precision of 89.25%, Recall of 88.75%, and F1 Score of 88.5%. Based on the accuracy and evaluation results, this system can be used for the early detection of multiple eye diseases. Several random samples were also used for testing in this investigation. The test results indicate that this system is functional.
Comparative Study Between Archaic and Advance Technique to Evaluate the Impact of Mining Activities on Neighboring Environment
Authors: Chaurasia R. S. , Mohapatra S. N.
Published: April 2023

Abstract: Geo-material plays significant role in the expansion of social progress, industrial growth and treasure of all nations. Rocks are one of the most accessible natural resource and one of the most important building material for urban development. It has been used from the initial spells of our progress for a multiple uses that have increased in quantity and complexity with time. Stone is a major basic raw material applied in crushed form for construction. Minerals are non-renewable in nature and also limited as well and Rocks are the assemblage of minerals. A mineral formerly extracted from the earth were leftover forever so the suitable arrangement of use for minerals including exploration and exploitation should be implemented. Compared to traditional methods, new advanced methodologies are widely used for surveying, mapping and monitoring of these natural resources. Remote Sensing and GIS/ GPS technology including drone technology has been capable as native/ global survey using aerial photo and satellite imagery for temporal study. The multi-temporal nature of satellite imagery helps to monitor present and past situation of the earth features. Thus, provides a useful information to identify land use/ land cover changes and calculate the amount of change. Satellite images are a valuable source of data for surveying, mapping, and monitoring of terrestrial resources as compared to older approaches such as topography and aerial photography. The multi-date character of space technology integrated with drone technology allows to manage/ monitor the mining activities.
Design and Analysis of Agriculture Sprayers
Authors: Thangavel T. , Prakash D. , Nathan N. Sabari , Sachin K. , Anand G. Suba
Published: April 2023

bstract: This project is to fabricate a model called agricultural sprayer. In olden days the spraying system is deficult to exicute. But in this generation there are few types of machines for spraying processs. Here we implement a new idea for spraying in agricultural fields, by using a engine and pump, we can easily operate the sprayer in required areas. This project consists of a engine and pump, a water tank, pipe ,and nozzles arrangement. The main purpose of producing this product is to enable farmers and gardeners to make the process of spraying pesticides to their gardens becomes more effective. It helps the formers because they no longer need to carry the tank on their back that can cause their back strain . This product only has to be move forward just like how the trolley function and then it will generate a set of power transmission part by using engine and pump. Next, it also comes with a pair of nozzles on the wing if it requires . With nozzles on the wing, it can speed up the spraying process as it can spray left and right side at the same time. In conclusion, this product can help formers in terms of comfort during spraying, reducing human effect, and effectively utilizing spraying time.
Maximizing Efficiency and Customer Satisfaction with Modern Helpdesk Ticketing System
Authors: Chanchad Yashraj , Sardar Komal , Kanade Suraj , Singh Prof. Ranjana
Published: April 2023

Abstract: HelpDesk Ticketing system (HDTS) is an electronic support ticket management system for creating, managing, updating & viewing of tickets logged in to the web portal of ticketing system. Incidents in organizations & institution are difficult to track & unmanageable to work upon when used traditional method. This HelpDesk Ticketing System will track all the tickets logged into the ticketing system while providing users an efficient & simple way to raise the tickets. Also, it becomes easier for engineer to solve the issues incoming in an organization or institution. This tool becomes a centralized way of communication for any incidents. When the user raises the ticket for the incident, is then forwarded to the IT HelpDesk followed by the IT Manager & IT Engineer
Doravante Display Font
Authors: Duarte Antäo
Published: April 2023

MDGPE-FBAUP
An atypical promyelocytic sarcoma in a pleural effusion: efficacy of ATRA/ATO treatment
Authors: Loyaux Romain , Lecolant Solene , FOINLAN Leila CYSIQUE , Pradon Caroline , Cotteret Sophie , Micol Jean-Baptiste , Stoclin Annabelle , SAADA Veronique , MARZAC CHRISTOPHE , Arbab Ahmadreza
Published: April 2023

Myeloid sarcoma is a rare extramedullary tumoral infiltration of
immature myeloid cells and can occur in different sites of the body,
without leukemic infiltration A 38-year-old woman patient presented at
emergency with a pleural effusion and bicytopenias. In the following
days, she worsened with a chylothorax and pancytopenias. Pleural
puncture cytologically
Quantifying small scale spatial variability in diffusive erosion and deposition
Authors: Welivitiya W. D. Dimuth P. , Hancock Gregory
Published: April 2023

Hillslope and catchment evolution will be the cumulative product of
short and long-term processes that operate and dominate over different
hillslope length scales. In this study erosion and deposition patterns
rates generated over short lengths scales (0.1-3m) are examined using
erosion pins over a 14 year period for a field site in northern
Australia. The pins consisted of two sets of nine pins located on a
catchment divide. Over the 14 year period, there was considerable
variability in erosion and deposition with both sites being depositional
(~7mm of deposition). The sites, separated by several
hundred metres both had very similar erosion and deposition patterns.
Annual erosion and deposition patterns were modelled using a computer
based Landscape Evolution Model (SSSPAM) that models both fluvial and
diffusive erosion. Model results found that SSSPAM was unable to predict
the erosion and deposition rate and patterns using a Digital Elevation
Model (DEM) for the site. However, when the DEM was modified at each
annual time step to capture short length scale random particle movement,
SSSPAM predicted both erosion and deposition variability as well as the
field measured deposition. The model results demonstrate that the
commonly used equation for diffusion when calibrated for the site
performs well.
Ethical Implications of Artificial Intelligence in the Healthcare Sector
Authors:   Information Technology and Law Graduate Programme Ghana Institute of Management and Public Administration Greenhill, Accra, Ghana E-mail: nutifafacudjoe@gmail.com Phone: +233502477709, Amedior Nutifafa Cudjoe
Published: April 2023

This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in healthcare services and provision. The paper highlights the applications of AI in healthcare, which can improve efficiency and accuracy of providing healthcare services by health professionals. The benefits of AI cover reducing the need for human intervention and increasing productivity through automation, delivering personalised experiences by recommendations, assisting with informed decision-making by providing real-time data analysis and insights, predicting outcomes or identifying potential threats, improving healthcare and overall customer satisfaction. The paper highlights the ethical implications of the use of AI in healthcare, including privacy and security, bias and discrimination, transparency and explainability, responsibility and accountability, informed consent and human interaction and empathy. The paper recommends that as AI becomes more prevalent in healthcare, establishing clear guidelines for responsible use, and maintaining the importance of human interaction and empathy in patient care, enhances healthcare outcomes while safeguarding patient rights and welfare. Continued research and development of the ethical implications of AI in healthcare for low-income countries as further work can promote the ethical use of AI in healthcare worldwide. Keywords: Artificial Intelligence, Ethics, Ethical Implication, Healthcare, Privacy Proceedings Citation Format Amedior, N.C. Nutifafa Cudjoe Amedior (2022): Ethical Implications of Artificial Intelligence in the Healthcare Sector. Proceedings of the 36th iSTEAMS Accra Bespoke Multidisciplinary Innovations Conference. University of Ghana/Academic City University College, Accra, Ghana. 31st May – 2nd June, 2023. Pp 1-12 www.isteams.net/ecowasetech2022. dx.doi.org/10.22624/AIMS-/ACCRABESPOKE2023P1
Particle Swamp Optimized -Physics-Informed Deep Learning for Heterogeneous Oil and Gas Underground Reservoir Pressure Management.
Authors:   1Department of Computer Science, College of Education, Gidan-Waya Kaduna, Nigeria, 2,3,4,5Department of Computer Science, Kaduna State University, Kaduna, Nigeria, E-mails: thomaslass2002@gmail.com, samson.isaac@kasu.edu.ng, meenatu02@gmail.com, zarasakanau@yahoo.com, hamidatuabdulkadir@gmail.com Phones: +2349128759750, Lass Barna Thomas ,   +2348035370205,   +2348032880130,   +2348037077346,   +2348169829895, Isaac Samson , Isa Amina , Sakanau Zara , Abdulkadir Hamidatu
Published: April 2023

In recent years, Particle Swarm Optimization (PSO) has been integrated with machine learning algorithms, such as deep learning, to create powerful hybrid methods that can tackle complex optimization problems more effectively. In the domain of oil and gas reservoir management, underground pressure management is crucial to maximize the yield and efficiency of the reservoir. However, the heterogeneity of the reservoir, along with uncertainties in its properties, makes pressure management a complex and challenging task. To address this issue, researchers have proposed Physics-Informed Deep Learning (PIDL) techniques that incorporate domain-specific knowledge, such as the governing physical equations, into the deep learning framework. Particle Swarm Optimized-Physics-Informed Deep Learning (PSO-PIDL) is a novel hybrid approach that combines PSO with PIDL to optimize the pressure management of heterogeneous oil and gas underground reservoirs. In this approach, the PSO algorithm is used to find the optimal solution for the PIDL-based model that incorporates the governing physical equations of the reservoir. PSO-PIDL can effectively handle the uncertainties and heterogeneity of the reservoir, while also incorporating the physical constraints of the problem. Overall, PSO-PIDL is a promising approach for optimizing the pressure management of oil and gas reservoirs. It can help reduce the operational costs and improve the efficiency of the reservoir, while also ensuring the sustainable use of natural resources. Keywords: Physics-Informed Deep Learning, Particle Swarm Optimization, Bidirectional Long-Short-Term-Memory, Heterogeneous Reservoir, DuPont Finite Element Heat and Mass Transfer Code
Development of AKM Class: Analysis Correlation of AKM Value on Students Logical Thinking Skills of 8 Grade Junior High School
Authors: Solihin Nana , Wahidin Wahidin , Hindriana Anna Fitri
Published: April 2023

The current unresolved problems in education in Indonesia include the weak literacy skills and numeracy skills that occur in students. One way to measure literacy and numeracy skills is through assessment. One form of assessment is through the Minimum Competency Assessment (AKM) which is carried out in class. This study aims to analyze the correlation between AKM classes with logical thinking skills. The research method uses mixed methods. This research was conducted in 3 junior high schools in eighth grade with different geographic locations. There are 60 respondents in total. The data collection technique used by the researcher used a written test in the form of AKM class questions, and for secondary data was an interview. Quantitative data analysis was carried out through prerequisite tests such as validity, reliability, and discriminatory power, level of difficulty, normality test, homogeneity test, and one way ANOVA test. The results of the analysis of the AKM literacy and numeracy AKM scores show that students' reading skills and numeracy skills are categorized as being in the low category. This means that students are still at the level of knowing and understanding. For this reason, it is very important to increase students' reasoning at a higher level in order to realize the implementation of curriculum 2013.
An Evaluation of Graduates’ Employment of Courses and Vocational Training Institutions
Authors: Suseno Imam
Published: April 2023

Evaluation of graduates’ employment of Courses and Vocational Training Institutions (LKP) is very important to conduct, as a step to obtain feedback on programs or policies that have been implemented by vocational LKP in Indonesia. However, the absorption data for vocational LKP graduates has not been properly recorded at the present. Therefore the aims of this study is to analyze achievement of performance targets at the Directorate of Courses and Training (Dit-Suslat), Ministry of Education and Culture. This study using the Goal-Oriented Evaluation of program evaluation model from Ralp W Tyler. The results of the analysis point out that the target percentage of courses and trainings graduates in one year who get a job or become an entrepreneur has not reached the set target. Most LKP graduates are absorbed in the trading sector, manufacturing industry, as well as health services & social activities. Future needed labor are massively from the sectors of healthcare, construction, manufacturing and retail. Clerical, routine and repetitive jobs start to be replaced by robots and intelligent machines. The implementation of vocational LKP must be transformed in carrying out link and match as a whole.
Innovation of a Model of Field Experience Practice-Based Lesson Study (THLS) to Enhance Pre-Service Science Teacher Research Skills
Authors: Ilhami Aldeva , Susilawati Susilawati , Yusrianto Edi , Lokollo Lita , Fadilah Muhyiatul , Handrianto Ciptro
Published: April 2023

Teacher Training Institutions (LPTK) have emerged as an area for attention in arranging professional teacher candidates and possess high competitiveness for achieving the Sustainable Development Goals (SDGs) 2030. In this regard, teacher candidates will conduct Field Experience Practice (PPL) to implement theoretical understanding with practical experience to strengthen competences. This study was carried out to analyze the validity, practicality, and effectiveness of the Triple Helix model-Based Lesson Study (THLS) of PPL. Research subjects consisted of lecturers, teachers, students, and PPL managers at the university. This study conducted through the Plomp development model, the research instrument included a questionnaire, test, and observation sheet. Data were analyzed using the miles-huberman analysis model. The results showed that the level of validity and practicality of PPL model is considered very good with the percentage 92%. The model is effective showed there is a difference in the research skills between pre service science teacher who followed the THLS PPL model and the common PPL model. The THLS PPL model is considered suitable for technical use to enhance the research skills of prospective teachers.
Behavioral Switching Model To Hybrid Learning Based on Push Pull Mooring Framework
Authors: Farliana Nina , Setiaji Khasan , Rusdarti Rusdarti , Hardianto Hanif
Published: April 2023

The Covid-19 pandemic has resulted in a shift in hybrid-based learning. The purpose of this study is to analyze how the push-pull mooring effect is able to increase student behavior transition to hybrid learning during the Covid-19 pandemic. This study uses a quantitative approach. The research population is all active students of the Faculty of Economics. The sample used was 146 respondents, with non-probability sampling technique. The data collection technique was an online questionnaire method with an interval scale of agree (scale 7) to disagree (scale 1). Data analysis technique was based on Structural Equation Modeling Partial Least Square (SEM PLS) using WarpPLS 5.0 program. The results showed that the push effect, pull effect, mooring effect, decision self efficacy and motivation and intention switching had an effect on switching behavior. While the push and pull effects have no effect on switching behavior through motivation and intention to switch and decision self-efficacy, in contrast to the mooring effect which has a significant effect. The findings of this study are that hybrid learning has not been able to improve student performance than offline learning, so the student behavior to switch to hybrid learning still needs to be improved.
Ecoliteracy Competence Assessment to Improve Innovation Capability in a Rural Community
Authors: Kusumawardani Erma , Nurmalasari Yuli , Rofiq Akhmad
Published: April 2023

Efforts to improve people's life skills are part of empowerment; however, many empowerment programs have not been fully utilized because they have failed to adapt to community needs. This phenomenon serves as the foundation for this study, which aims to analyze of community competencies centered on the ability to recognize potential and utilize the environment (ecoliteracy). A qualitative approach was used in this study, with an exploratory descriptive design. Interviews, observation, study documentation and focus group discussions were used to collect research data. 12 family representatives and 14 family facilitators provided data. Data analysis was carried out by each researcher by reading transcripts in an open coding process, looking for concepts, categories, characteristics, and dimensions that characterize each aspect found. The finding reveals that potential of the surrounding nature have awareness and knowledge of how to use ecological resources to sustain life, and are uneasy due to economic problems. Second, on an emotional level, they are satisfied when they see results from using the environment, realize the value of ecoliteracy for survival, and use the land for daily personal consumption. Third, in terms of land use and assistance programs as a source of income support the cost of living, taking into account economic aspects in meeting life's necessities. To sum up, he research results which are differentiated into three aspects, it shows that there is still a lot of potential that can be used as a basis for efforts to develop ecoliteracy learning models for the community
Development of Rational Function Integral E-Worksheet with Linear Factor Denominators to Improve Mathematical Creative Thinking Ability
Authors: Solfitri Titi , Siregar Hesty Marwani , Syofni  , Anggraini Rini Dian , Apristi Ivo
Published: April 2023

There is no electronic worksheet that can help students to optimize their mathematical creative thinking skills in the Integral Integration technique of rational functions with the denominator is a linear factor being the background for this research. This research aims to produce an e-worksheet that can be used in integral calculus courses, especially material for Integral Integration techniques of rational functions with the denominators being linear factors, and can improve the ability to think creatively mathematically. The research was conducted using the ADDIE development model. The research subjects were 15 students of Mathematics Education at the University of Riau. Data collection instruments used questionnaires and tests with quantitative and qualitative descriptive analysis. From the calculation of the validation score, overall, the e-worksheet is valid and can be used by Mathematics Education students in Integral Calculus courses. Based on the results of the second student response questionnaire, the e-worksheet met the practical criteria with the achievement of e-worksheet 1 of 83.33% and e-worksheet 2 of 76.3%. From the results of the worksheet effectiveness test, there has been an increase in students' mathematical creative thinking ability after using e-worksheet from 2.73 to 7.6 and is in the medium category. Referring to the results of this study means that the developed e-worksheet is feasible to use and can improve students' mathematical creative thinking abilities.
Identifying the Utilization of ICT-Based Interactive Media in School during Pandemic Covid-19
Authors: Pratama Krisna Raditya , Yamtinah Sri , Roemintoyo Roemintoyo
Published: April 2023

The Covid-19 pandemic has had a very significant impact on paradigm shifts and learning activities. Currently, ICT has a great opportunity to be utilized and contribute optimally to facilitate students during learning activities during the Covid-19 pandemic. The main purpose of this research is to analyze specifically the teacher's views regarding the implementation and use of ICT-based learning media that takes place during learning from home during the covid-19 pandemic. This research design includes qualitative research. The subjects in this study were subject teachers in high schools. Data collection techniques used questionnaires, observations and interviews, with the instruments being questionnaire items, observation sheets and interview guidelines. Data from the questionnaire were analyzed by triangulation, through data reduction, data presentation, and drawing conclusions. The results showed that so far teachers use media as learning aids in the form of printed modules, and assignment sheets, besides the lecture method and presentation media also dominate in the continuity of learning activities, teachers still persist not to use ICT in the learning process, especially to support the independent learning process during the covid-19 pandemic. Innovation through the integration of ICT in the learning process is an important thing for teachers have to do, especially now that students are carrying out learning from home, so that students will remain enthusiastic and motivated to carry out a series of independent learning activities.
Development of Exe Learning Based E-Module with Whatsapp Application for Online History Learning to Increase Learning Result
Authors: Budi Purnomo  , Ratu Rahmini  , Muhammad Afrillyan Dwi Syahputra
Published: April 2023

Nowdays students barely understand the content presented by the teacher due to the outbreak of the coronavirus, so learning was carried out online. Several applications are used for online based-learning. Therefore to solve that problem this research aims to develop e-modules based on exe learning with the WhatsApp application for online history learning worthy of research. This research decide the feasibillity of the product being developed and the student's response to the product. The research method for developing products uses the ADDIE model. The e-module developed was assessed and based on expert assessments. E-module trials met the eligibility criteria with a percentage of 98% from material experts with a score of 49 and a score of 53 with a percentage of 88.3% from media experts, and a score of 674 (89, 86%) and 1375 (91.53%), from small and large group trials, then the media is declared suitable for use in learning history at the senior high school level. This shows that the Whatsapp application-based exe-learning media can improve learning results. The effectiveness test also shows an increase with a comparison of the control class getting 67% completeness, compared to the experimental class with a 90% completeness level. This showed that the Whatsapp application-based exe-learning media can improve learning results.
The Influence of PBL vs PJBL Learning Models and Initial Knowledge on the Ability to Write Research Proposal
Authors: Rufi’i  , Dharma Utama Gede
Published: April 2023

The low ability student in authorship research proposal becomes one of the big enough problems to remember to to compete in the field of education ability to write is a must for a student. Teacher need to apply suitable learning model in guiding students in writing research proposal in order to achieve target of learning. The research objective was to analyze differences and interaction in the ability to write research proposals between the PBL learning model and the PjBL learning model in high and low initial knowledge. This research was conducted with a non-equivalent control group design by applying a 2x2 factorial design to the experimental design. The research subjects were students in the second semester of the 2021/2022 academic year, in the Educational Technology study program at Adi Buana University, Surabaya, which consisted of 122 people. Subjects were taken randomly, and the number of members was 80 subjects. Furthermore, they were grouped into two classes according to the study design. The research hypothesis was tested with the Statistical Analysis of Variance (Anova). The results showed that (1) there were differences in the ability to write research proposals between students who studied with the PBL learning model and the PjBL learning model, (2) there were differences in the abilities to write research proposals between students with high prior knowledge and low, (3) there is no interaction between the learning model and prior knowledge on the ability to write research proposals.
The Effectiveness of Discovery-Inquiry Learning Strategy for Understanding Poetry Message
Authors: Gasong Dina , Siregar Eveline
Published: April 2023

In poetry reading contests, it was found that the contestants had not been able to show the correct expression in accordance with the message of the poem. This fact causes the message of poetry to not be understood. Choosing the right learning strategy can lead students to find the right message according to the text of the poem. Understanding the meaning of poetry in learning is very important in adapting to learning strategies. The right learning strategy for exploring the message in poetry is the Discovery-Inquiry Learning strategy. This study aimed to analyze the application of Discovery-Inquiry Learning strategies to understand the message of poetry. The subjects of this study were third semester students of Indonesian Language and Literature Education. The research method used was qualitative, with the following learning steps. The results of the study showed that by applying the find-investigation learning strategy, (1) students were able to find physical elements associated with mental elements. (2) students were motivated to study poetry, (3) students were able to understand the message of poetry by investigating the connotative meaning of repeated words or lines.
Talking Stick Learning Model Assisted by Media Question Box: Effectiveness on Science Learning Outcomes in Elementary Schools
Authors: Purnama Sari Bella Yulia , Candra Sayekti Ika
Published: April 2023

Science learning is still conventional, causing students to be less focused and get grades in the low category. The research objective was to analyze the effectiveness of using the talking stick learning model assisted by the media questions box on science learning outcomes in elementary schools. This type of quantitative research with experimental design. Selection of the sample using simple random sampling. The research subjects were fifth-grade elementary school. The research design used the "One Group Pretest-Posttest Design" involving one group without a comparison group. Observation and test data collection techniques. Data analysis techniques using descriptive statistical analysis techniques and inferential statistical analysis. The results showed that after applying the talking stick learning method assisted by the questions box, it increased so that most student scores were in the high category. Based on the analysis results, the output of the Independent Sample T Test is known to be the value of Sig. (2-tailed) of 0.000, then H0 is accepted, so there is an average difference between the pretest and posttest results. The talking stick learning model assisted by the question box media effectively improves science learning outcomes for students. This research implies that teachers can apply learning models to develop learning outcomes and student activity in the classroom.
Implementation of Augmented Reality In Biology Learning: Its Effect on Learning Motivation and Retention
Authors: Tamam Badrud , Qomaria Nur
Published: April 2023

One of the causes of low motivation and retention is the inaccuracy of the learning strategies applied. Therefore, it is necessary to update learning in order to be able to provide digital skills to students through the implementation of technology. This study aims to analyze the effect of implementing augmented reality on learning motivation and student retention in biology learning. This research is a quasi-experimental study with a Non-equivalent Pretest-Posttest Control Group Design. The research was conducted in class X SMA with a total sample of 65 students. The selection of samples was done randomly. Learning motivation was measured using a questionnaire of 36 question items and a Likert scale of 5 points. Retention was measured using an essay test. The test results were then measured using rubric with a scale of 0-4. Data were analyzed using a single ANCOVA with a pretest as the covariate. The results showed a significant effect of AR implementation on students' motivation and retention in biology learning. These results indicate that AR can be a solution as a pedagogical resource to increase motivation and empower retention.