Reviewerly/exHarmony huggingface dataset:
First Aid For Accidents Knowledge Level Of Students at Budi Murni 2 Catholic Private High School Medan 2023

First Aid in Accidents is a program designed to provide emergency care and treatment to accident victims before they are taken to a hospital, health facility, or clinic where they can receive further medical care from a doctor or paramedic. If an accident or injury is not handled properly, it can develop into an emergency, resulting in serious injury and even death. First aid training and knowledge is very important for dealing with accidents because it teaches basic methods for saving victims from accidents and disasters that occur. This is so that with adequate preparation, such as basic life support training, reaction actions will be faster and more accurate, minimizing the number of victims and damage. The study's goal is to ascertain how "an overview of The degree of student understanding of first aid for emergencies at Budi Murni 2 Catholic Private High School Medan 2023 Purposive sampling was used in this study's descriptive design, with a total of 60 respondents. A questionnaire sheet is the tool that is being used, random sampling. The findings indicate that 96.7% of pupils have first aid knowledge for accidents, knowledge based on fainting was 80%, knowledge based on bleeding are 88.3%, based on broken bones 85%, and knowledge based on splint dressing is 58.3%. It is anticipated that students would become more knowledgeable about and capable of using first aid in accidents.
PROPOSING INNOVATION MANAGEMENT MODEL IN LARGE CORPORATION

When business enters industry 4.0 era, emerging technologies are evolving and utilized to promote business performance. This signifies disruption among companies especially in large corporations due to its stiffness and slowness in response while startups or small companies are prone to response quickly. Previous studies suggest innovation to overcome this condition so that those large corporation could still enhance its performance in this industry era. Thus, several studies of them have been considered to propose an Innovation Management Model in Large Corporation. The result shows that in order to promote business performance, there are several factors needed to be considered such as: 1) Leadership, 2) Culture, 3) Support, 4) Innovation Process and 5) Business Performance. This study offers an interesting innovation management model to achieve business performance. This model consists of prementioned five components. From the proposal, business performance in large corporations is driven by innovation process. Meanwhile, in promoting this process, those large corporations need to promote leadership and culture. This model also suggests support for accelerating the process. This finding and contribution may give an opportunity for researchers to test the model for their future research.
Village Open Data Implementation: Lesson Learned from Alang-alang Vilalge, Madura

Alang-alang village is one of the villages in Bangkalan, Madura, near the Suramadu bridge. This village has a vision to be a smart cyber village. However, the application of open data need to be explored, especially in the village area. We just found the implementation of the open data application in Wonosobo and Bantul. Therefore, researching implementing Open data applications at the village level is important. This study aims to capture the open data application 1.0 implementation for the Alang-Alang Village Government. It will explore the richness of the village open data implementation's success factors, challenges, and uniqueness. This research contributes by providing a lesson learned and a novel model for Village Open Data Implementation based on the case study of the Alang-alang village open data application. Moreover, this research also has some implications for knowledge and practice for other villages’ governments, researchers, practitioners, and village ministries worldwide, such as the implementation model can be adopted for other contexts and villages. In the body of knowledge, it develops a body of e-Government and smart village knowledge and research fields. Based on this case study, there are some success factors for village open data implementation: Vision and commitment of the village leader, regulation, people’s support and participation, infrastructure, and digital literacy.
THE SOCIAL-PEDAGOGICAL NEED OF PREPARING FUTURE TEACHERS FOR THE PROCESS OF CONTINUOUS SPIRITUAL EDUCATION

In this article, opinions on increasing the activity of introducing educational standards based on a new approach to the training of future physical education teachers, on awakening a sense of responsibility for the chosen profession, on the development of various reforms in society are presented.
SCSP: An Unsupervised Image-to-Image Translation Network Based on Semantic Cooperative Shape Perception

This paper introduces a novel approach to unsupervised image-to-image translation, aiming to overcome the limitations of existing methods in accurately capturing the shape of the source domain and the style of the target domain. The proposed method, called Semantic Cooperative Shape Perception (SCSP), focuses on enhancing the quality of generated images by addressing two key aspects. Firstly, the SCSP model employs a fusion generator that divides the mapping process into a unique texture part and a shared semantic part. By using different network structures and constraints, each part learns specific information. The unique texture generator emphasizes the style and texture details of the target domain, while the shared semantic generator focuses on the semantic information present in the source domain. This separation enables the sub-generators to extract and restore different aspects of the target domain more effectively. Secondly, a shape perception loss is introduced to improve the similarity of semantic images. It enhances the shared semantic generator's ability to perceive semantic information related to the same object by imposing constraints on the semantic graph of both the generated and input images. Therefore, the proposed method ensures semantic consistency during the translation process, leading to improved authenticity and image quality. Experimental results on four datasets, including horse2zebra, tiger2leopard, summer2winter, and photo2vangogh, demonstrate that the SCSP model achieves state-of-the-art visualization results and favorable evaluation metrics.
Analisa Kinerja Layanan Internet Pada SMK Muhammadiyah 3 Terpadu Pekanbaru Menggunakan Metode Quality of Service

The internet is a network that is used to connect computer devices to each other without being limited by the number users. The development the internet can be used for various means, one which is education. One of the schools that use the internet is SMK Muhammadiyah 3 Terpadu Pekanbaru. The school has a bandwidth speed of 300 Mbps originating from IndiHome and Dashnet. This study aims obtain information about the quality and existing internet services that this research hopes can be used as a reference by the administrators the internet network in schools. This study uses QoS (Quality of Service) parameters such as Delay, Jitter, Throughput, and Packet Loss. In addition, this study uses a software called wireshark. Wireshark functions to analyze data packets and quality on an internet network. The results this study get the index values of several QoS parameters. Based on the research, an index of 4 or in the very good category was obtained in terms of Delay, Jitter, Throughput, and Packet Loss both during busy and quiet hours. What's more, the school takes more advantage of the amount bandwidth available from IndiHome providers so they can drain school costs in procuring the network.
Mobile Computing: Trend, Challenges, Trend Topics, Success Factors and Implementation Fields

This paper aims to explore the development of mobile computing in knowing trends, challenges, trending topics, success factors, and what fields apply to mobile computing. This study uses a systematic literature review (SLR) methodology consisting of several stages: search strategy, literature criteria, data extraction and monitoring, and data synthesis. The analysis results describing the research findings show that from the reviewed articles, it can be concluded that Mobile Computing is implemented to support and play an important role in community and organizational activities in all disciplines. Mobile computing has a very important role in the ease of use of device applications. The research results can also describe the evolution of mobile computing so that it can be studied in more depth.
Analysis Of Irrigation Water Quality For Fields In Treman Village, North Minahasa Kauditan Regency

Abstract. Syafira Salsabella1), Bobby J. V. Polii1*), Wiske Ch. Rotinsulu1) , Frangky J. Paat1), Jellie V. Porong1) , Adeleyda M. W. Lumingkewas1), Jooudie N. Luntungan 2) , Sofia Wantasen. Analysis Of Irrigation Water Quality For Fields In Treman Village, North Minahasa Kauditan Regency. Ekoton 5. 28-35. This study aims to determine the quality of irrigation water in rice fields in Treman Village, Kauditan District, North Minahasa. This research was conducted for two (2) months, namely from March to April 2023. This research was conducted using purposive sampling method, the sampling technique is Composite. Research samples were taken at three points, namely the Primary Canal, Secondary Canal, and Tertiary Canal. Samples were taken as much as 4500 mL in each Canal, then analyzed at the Manado Industrial Research and Standardization Center Laboratory. The data obtained was analyzed using Bar Chart Statistics. The research shows that the Irrigation Water Quality of Rice Field Areas in Treman Village, Kauditan District, North Minahasa is still classified as very good because it meets the requirements as irrigation water according to Water Quality Of Irrigation based on Ayers &amp; Westcott (1995), and there is no pollution based on Government Regulation No. 22 of 2021 concerning the Implementation of Protection and Management of Irrigation Water. Keywords: Quality of irrigation water, Sodium Absorption Ratio
Writing anxiety among prospective nonlanguage teachers: A quantitative study of a nonmetropolitan state university

This research focuses on exploring the aftermath and diverse impacts of writing anxiety experienced by prospective nonlanguage teachers. The study primarily delves into the levels and types of writing anxiety that disrupt the academic performance and personal pursuits of future educators. The participants in this study encompassed 165 students pursuing majors unrelated to language, such as Bachelor of Secondary Education Major in Mathematics (BSED Math), Bachelor of Culture and Arts Education (BCAED), and Bachelor of Special Needs Education (BSNED). To ensure accurate data collection, the study employed assessment tools, namely, the Second Language Writing Anxiety Inventory (SLWAI) and the Causes of Writing Anxiety Inventory (CWAI), both exhibiting high-reliability scores of .757 and .936, respectively. Employing one-way ANOVA, the collected data were subjected to statistical analysis. The findings of the study indicated that the participants consistently experienced heightened anxiety levels in writing. The investigation also revealed that among the various types of writing-related anxiety, cognitive anxiety emerged as the most prominent, followed by somatic anxiety and avoidance behavior. Furthermore, the study identified time constraints and the pressure to achieve perfection as the two most prevalent causes of writing anxiety among the participants. The conclusions drawn from these findings are extensively discussed within the study, shedding light on the implications for both educators and students in a nonmetropolitan state university.
PENGEMBANGAN MEDIA EVALUASI PEMBELAJARAN BERUPA GAME BERBANTU APLIKASI CONSTRUCT 2 PADA MATERI HUKUM NEWTON

Abstract: The results of interviews with physics teachers at SMAN 1 Pekalongan that the media provided is very limited. The media in school are only pictures, props, and powerpoint. Lack of care in the props makes the props become dirty and damaged. The purpose of making media is: (1). Knowing media development (2). Know how to develop media. (3). Knowing student responses to media (4). Knowning the advantages and disadvantages of the media. This research was conducted using the 4D development model ( define, design, development, disseminate) according to Trianto (2011: 189). The results of the media expert test research received a percentage of 69% with eligible criteria, the result of the test of material experts with a percentage of 73,08% with eligible criteria. The results of the product trial are the student response questionnaire with a percentage of 80,55% with very good criteria. Presentation obtained from the three expert tests stated that the evaluation media of game application learning was 74,21% with eligible criteria. Based of the results of the research regarding the development of game application learning media, the media developed are suitable for use as learning media. Media shortages are limited question, the advantages are easy to use, in the form of game, and is offline. Suggestions for this product can be developed by more than one material, along with sample questions. Media must also be used with all OS and smartphone. Publish it more widely by placing it in the online application store and can be download for free.Keywords: Research And Development, Learning Evaluation Media In The Form Of Assisted Game Application Construct 2, Newton’s Law
Quality of Service Analysis on EaTrain Application at A Restaurant on A Train

One of the services on the train is a dining car that sells food and drinks. However, the current system has problems such as the unclear position and operating hours of the dining car, the lack of menu information, and the difficulty of officers in giving change. The purpose of this research is to make it easier for passengers to order food and drinks, increase the officer’s efficiency in managing menu, and determine the network quality while using the EaTrain application on the train. The EaTrain application was built using android studio with cloud firestore as a database for storing data, and integrated with midtrans payment gateway in making payments. Wireshark software is used to measure the network quality of EaTrain application in train restaurant. The test results show that the EaTrain application can run well on Android 7.0 devices and above. The value of delay, throughput, and packet loss in Quality of Service (QoS) testing while making payments is determined by network quality of each provider. Provider A has average delay of 123ms, packet loss is 10.72%, and throughput is 3974 bps. While provider B has average delay at 1343ms, packet loss is 50.88%, and throughput is 33628 bps.
Pengembangan Media Pembelajaran Interaktif Pada Materi Gelombang Cahaya Berbasis Android Menggunakan Articulate Storyline 3

Abstract : This development research aims to develop interactive learning media in the form of links that can be opened by students when studying light waves, especially in light polarization sub-materials that are suitable for use in the learning process. The interactive learning media produced from this development research aims to make learning more fun and students do not feel bored when learning takes place. Development research is a research method that produces or develops a particular product with the aim of testing the effectiveness of the product that has been developed. The research model used is the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The research was conducted by developing interactive learning media products using the Articulate Storyline 3 application. The developed product has been validated by media experts and material experts to get an average percentage score of 86.25%. The validation results show that the media is very feasible to use in learning, it is reviewed based on the results from the aspect of learning objectives and aspects of language. The results of the student response trial get an average percentage of 82%. Shows that the product is very attractive to students, it is reviewed based on the results from the design aspect
PENGEMBANGAN MEDIA PEMBELAJARAN IPA BERBASIS E-LEARNING MENGGUNAKAN MOODLECLOUD UNTUK MENINGKATKAN MINAT BELAJAR SISWA

Abstract: Presurvey results at SMP Negeri 2 Banjar Agung, SMP Negeri 3 Banjar Agung and SMP Negeri 1 Way Serdang, that internet media that have been used previously have disadvantages, namely that they cannot display material and examples in the form of animation and video as a whole in one website. Therefore, it is necessary to develop learning media that can complement the shortcomings in the previous media by using moodloud. Moodlecloud is an update of the moodle application that integrates with open source applications for full online conferencing, including video, audio, images and desktop sharing. This research is a development research (Research and Development) with development models ADDIE (Analysis, Design, Development, Implementation and Evaluation) and in this research using expert tests and small group tests were conducted to see the feasibility of products. The results showed that e-learning based science learning media using moodlecloud which was developed was very feasible with a percentage of product feasibility of 93,41% and able to increase student interest in learning with a n-gain value of 0,94.Keywords: media of learning, e-learning, moodlecloud, interest in learning
Software Defect Prediction by Online Learning Considering Defect Overlooking

Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model when adding a new data point. However, predicting a module as "non-defective" (i.e., negative prediction) can result in fewer test cases for such modules. Therefore, defects can be overlooked during testing, even when the module is defective. The erroneous test results are used as learning data by online learning, which could negatively affect prediction accuracy. In our experiment, we demonstrate this negative influence on prediction accuracy.
An Improved Adaptive Spiral Dynamic Algorithm for Global Optimization

This paper proposes a new strategy to enhance the performance and accuracy of the Spiral dynamic algorithm (SDA) for use in solving real-world problems by hybridizing the SDA with the Bacterial Foraging optimization algorithm (BFA). The dynamic step size of SDA makes it a useful exploitation approach. However, it has limited exploration throughout the diversification phase, which results in getting trapped at local optima. The optimal initialization position for the SDA algorithm has been determined with the help of the chemotactic strategy of the BFA optimization algorithm, which has been utilized to improve the exploration approach of the SDA. The proposed Hybrid Adaptive Spiral Dynamic Bacterial Foraging (HASDBF) algorithm is designed so that the chemotaxis phase of bacteria represents the exploration part of the search operation. In contrast, the SDA represents the exploitation part. Additionally, to improve search operation efficiency, the spiral model's radius and angular displacement are adaptively set according to a linear correlation concerning the fitness value. An additional phase, the elimination and dispersal phase, is obtained from BFA and added to the end of the SDA. This phase aims to improve the algorithm's final solution's accuracy by enhancing the algorithm's search strategy and performance. Simulation tests are run on unimodal and multimodal standard benchmark functions to verify the proposed algorithm. The proposed algorithm significantly outperforms SDA and Adaptive SDA (ASDA) algorithms regarding fitness value and accuracy.
Enhancing Soil-Transmitted Helminth Detection in Microscopic Images Using the Chain Code for Object Feature Extraction

Soil-Transmitted Helminth (STH) infections are a grave global health issue, which involves particularly in countries that are developing with insufficient sanitation and limited access to healthcare. With better intestinal helminth egg detection technology, health facilities in areas with limited resources can identify and treat these infections more promptly. It is necessary to create a strong framework and an effective method to solve this challenge. The outcomes of this study could assist in parasite infection discovery and public health. Chain code-based feature extraction strategy can also be the foundation for the development of comparable approaches for diagnosing various parasitic diseases. Overall, the neural network design used in this study makes the model that is produced a good model that assigns well to never-before-seen data. The significance of image processing technologies in the medical field is shown by this study.
Message from the ISMAR 2023 Science and Technology Journal Program Chairs and TVCG Guest Editors

In this special issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Transactions on Visualization and Computer Graphics (TVCG)</i> , we are pleased to present the journal papers from the 22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2023), which will be held as a hybrid conference between October 16 and 20, 2023 in Sydney, Australia. ISMAR continues the over twenty-year long tradition of IWAR, ISMR, and ISAR, and is the premier conference for Mixed and Augmented Reality in the world.
Preface

This book contains the proceedings of the 33rd edition of the International Conference on Field Programmable Logic and Applications (FPL) held in Gothenburg on September 4th to 8th, 2023.
Software defect prediction using learning to rank approach

Abstract Software defect prediction (SDP) plays a significant role in detecting the most likely defective software modules and optimizing the allocation of testing resources. In practice, though, project managers must not only identify defective modules, but also rank them in a specific order to optimize the resource allocation and minimize testing costs, especially for projects with limited budgets. This vital task can be accomplished using Learning to Rank (LTR) algorithm. This algorithm is a type of machine learning methodology that pursues two important tasks: prediction and learning. Although this algorithm is commonly used in information retrieval, it also presents high efficiency for other problems, like SDP. The LTR approach is mainly used in defect prediction to predict and rank the most likely buggy modules based on their bug count or bug density. This research paper conducts a comprehensive comparison study on the behavior of eight selected LTR models using two target variables: bug count and bug density. It also studies the effect of using imbalance learning and feature selection on the employed LTR models. The models are empirically evaluated using Fault Percentile Average. Our results show that using bug count as ranking criteria produces higher scores and more stable results across multiple experiment settings. Moreover, using imbalance learning has a positive impact for bug density, but on the other hand it leads to a negative impact for bug count. Lastly, using the feature selection does not show significant improvement for bug density, while there is no impact when bug count is used. Therefore, we conclude that using feature selection and imbalance learning with LTR does not come up with superior or significant results.