Reviewerly/exHarmony huggingface dataset:
Prediksi Jumlah Kasus Klaim Indemnity Dengan Menggunakan Algoritma Regresi Linear Pada Asuransi Mandiri Inhealth

Insurance is a type of financial institution that aims to provide guarantees to customers against risks that may occur in the future. In this study, by utilizing some data on indemnity claim cases on inhealth insurance through a prediction method approach and can be applied in analyzing data to make predictions of future insurance data based on the level of need. The prediction process of a simple Linear Regression algorithm can be implemented where the results also provide new insights for the prediction needs of claim data. Tests using rapidminer produce performance that is relevant to the scenario being modeled. The simple Linear Regression equation model after comparing the results of calculations manually and also with the Rapid Miner application generally shows the same data. The RMSE value is also obtained when evaluating the performance of the applied model, with an RMSE value of 0.273 with a standard deviation of +- 0.0.
Prediksi Ketebalan Powder Coating Menggunakan Algoritma SVM Dan Naïve Bayes

Data Mining is a method that has been widely used to make scientific discoveries from a collection of datasets which so far have only been stored without further management. In the industrial world the use of data mining methods has helped with problems that are often found in the industrial field. Data mining helps in making predictions regarding thickness quality problems in a panel box product. Data mining is very useful for finding patterns in complex manufacturing data processing processes. Especially when we talk about consumers or service users of our product panels who want the panel to have good powder coating quality. This made the researchers conduct research to find the accuracy value which would later be used as a definite reference regarding the thickness of the powder coating. The results of this test the svm algorithm is better than naïve Bayes because the data in general can be categorized as a good result which has an accuracy of 97.60%, precision 99.56% and 96.03% recall. This res ult is an illustration for consumers to ensure that the panels to be purchased are of the best quality. By showing the data that has been processed, the consumer is sure that the purchase is really valid&#x0D;
Analisis Penentuan Karyawan Tetap Dengan Algoritma K-Means Dan Davies Bouldin Index

Developments Technological advances are things that cannot be avoided in this life because technological developments go hand in hand with advances in science. With the rapid development of technology today, of course it affects the work environment as well. Employees are one of the company's reasons for determining the continuity of business activities. Employee work contracts within the company are important and must be considered in order to achieve company goals. PT. Taewon Indonesia is engaged in paper production and has more than 300 contract workers, making it difficult to select or expel workers who are still suitable and meet the requirements of the contract extension process. Analysis of determining permanent employees is very important for companies to determine recruitment strategies and human resource development. This study analyzes the determination of permanent workers using two clustering algorithms, K-Means and Davies Bouldin Index. K-Means is used to collect employee data based on certain criteria, while the Davies Bouldin Index is used to measure the quality of clustering results. Of the 455 employee performance appraisal datasets, tests were carried out by determining 2 clusters and validation was tested with the Davies Bouldin Index. And the resulting -1.752. Based on the results obtained, it shows that the k-means algorithm can be implemented in clusters to determine permanent workers with fairly good validation results
Perancangan Sistem Informasi E-Booking Jasa Steam Mobil Dan Motor Berbasis Web (Studi Kasus Cheers Autocare Solo)

In the Big Indonesian Dictionary, booking / ordering is the process of making, how to order (place, goods and so on) to other people. Every year the use of motorized vehicles always increases. This is evident from the data obtained through the Central Bureau of Statistics, namely as many as 136,320,000 million units in 2020. This research uses a qualitative research method which has several stages and flows, namely conducting field studies/observations, interviews, library research, and collecting data and developing software with the Waterfall method. This method is often interpreted as a classic life cycle which is an illustration of a systematic approach and sequential development of software, starting from the specifications required with several stages. The conclusion is that the design of the web-based Steam E-booking information system is in accordance with what is needed by Cheers. Autocare Solo, the results and tests are in accordance with user needs, the database used contains 6 tables, namely: admin, category, service, booking, complaint, customer reports, and Information System Design E-booking Steam car and motorbike services help make it easier for the company . The design of the web-based Steam E-booking information system is in accordance with what is required by Cheers Autocare Solo, the results and tests are in accordance with user needs and help make it easier for the company
Rancang Bangun Aplikasi Arsip Surat Menyurat Elektronik Dengan Model Agile Pada Kantor Desa Setia Karya Mandailing Natal

One of the most influential sources of information is administration. Recording or storage of administrative files is commonly called archives. Recording or storage of administrative files is commonly called archives. The condition that is being carried out at the Setia Karya Village Office in terms of managing correspondence archives is still using a manual method. The data collection of incoming and outgoing mail is recorded in a book as a record of its data collection and archives are stored in filing cabinets. The data collection of incoming and outgoing letters also has separate books for incoming and outgoing letters and is stored in a storage cupboard. The application design in this study that the authors use is the Agile model, which is an approach to analyzing and designing systems that are developed through the use of more specific cycles for the activities carried out. The diagrams used are Data Flow Diagrams (DFD), flowcharts, and Entity Relationship Diagrams (ERD). The results of the design and testing that has been carried out by the author on this system indicate that the functions contained in the application are running well and in accordance with the needs and design, can manage incoming and outgoing letters such as the process of managing letters in the Setia Karya Village Office, and can provide convenience to the Admin in processing and processing archived correspondence
Analisis Kepuasan Wisatawan Pada Daerah Kota Binjai Menggunakan Algoritma C4.5 Berbasis Mobile

Rating is a way or method to obtain information in any form that can be used as a basis for decision making. Ratings of a tourist object is often a standard for tourists to determine tourist destinations. Ratings made by tourists indicate the level of satisfaction with the services provided by each tourist attraction that has been visited. This study aims to determine and analyze the level of tourist satisfaction, especially in the city of Binjai using the C4.5 algorithm. Algorithm C4.5 is a technique in data mining to classify data with the concept of a decision tree. The data used to analyze the level of tourist satisfaction is data collected from respondents using an application built on the Android platform. Respondents who collected as many as 30 people were tourists who visited the Binjai City tourist attraction. The results of this study indicate that tourists are satisfied with the Cleanliness indicator which is indicated by the highest gain value of 0.283. While the lowest indicator is obtained in the parking variable with a gain value of 0.085. Based on the results of this research, it is hoped that it can become a reference for evaluating the services provided to increase tourist satisfaction
Implementasi Pengenalan Wajah Dengan Metode HOG Untuk Pencatatan Kehadiran Mahasiswa Pada Campus Event

Face recognition is one of the identification systems developed based on differences in facial features of a person who has high accuracy. Currently the Campus Event committee at Nurtanio University is still using manual notes to write the attendance list of students who take part in the activities mentioned above. After observing this, the author is interested in building an application to record attendance using facial recognition. The software development in this research uses the waterfall method with the stages of requirement definition, system design, and implementation. The diagram design uses BPMN (Business Process Model and Notation) and UML (Unified Modeling Language). The programming language used is Python, OpenCV as image processing and Histogram Of Oriented Gradients (HOG) for face recognition algorithm which has been simplified into a face_recognition library. Software testing with black box method. With this study, attendance recording can be done by recognizing the participants' faces, thereby increasing efficiency and reducing queues
Sistem Informasi Penerimaan Mahasiswa Baru Dengan Framework Laravel

Admission of new students is one of the processes that exist in every educational institution such as universities which is useful for screening each selected prospective student. In general, this process is carried out through the registration process, file selection, and announcements. The implementation of new student admissions is carried out on a scheduled and routine basis every year. The purpose of this research is to create a system that can be used to assist the new student admissions department of the University of Nurtanio Bandung in recording prospective new students, the selection process, until the announcement of the results of the new student selection. It is hoped that this will facilitate the process of accepting new students. The proposed system is web-based so that it can be accessed by users anywhere and anytime as long as it is connected to an internet connection. In the implementation of this system using the Laravel framework which has a little execution time so it has a fast loading process
Artificial Intelligence-based Motion Sickness Detection: A Survey

Motion Sickness (MS) is an issue of handling information by the brain when forwarded from our ears, eyes, and body. Early and timely detection and prediction of MS is therefore essential. In recent years, various Artificial Intelligence (AI) methods (e.g., machine learning (ML) and deep learning (DL)) have been widely used to detect and predict MS accurately. This paper attempts to review the recently developed ML and DL methods for MS detection and prediction. Hence, we discuss the most popular ML and DL methods applied in the domain. In addition, we list the most important limitations and research gaps and provide several solid future research directions throughout.
The Smooth Trajectory Estimator for LMB Filters

This paper proposes a smooth-trajectory estimator for the labelled multi-Bernoulli (LMB) filter by exploiting the special structure of the generalised labelled multi-Bernoulli (GLMB) filter. We devise a simple and intuitive approach to store the best association map when approximating the GLMB random finite set (RFS) to the LMB RFS. In particular, we construct a smooth-trajectory estimator (i.e., an estimator over the entire trajectories of labelled estimates) for the LMB filter based on the history of the best association map and all of the measurements up to the current time. Experimental results under two challenging scenarios demonstrate significant tracking accuracy improvements with negligible additional computational time compared to the conventional LMB filter.
Improving Speaking Skills Using Quizizz Media and Project Based Learning Model For 9th Graders

This study investigates the effectiveness of Quizizz media and project-based learning model in improving English speaking skills. The research, executed at SMPN 3 Surabaya, encompassed a cohort of 33 students in the ninth grade and utilized a classroom action research methodology. The structure of the investigation was delineated into three segments: a pre-intervention stage, Cycle I, and Cycle II. Preliminary observations indicated the students' speaking proficiencies to be sub-optimal. Noticeable advancements in proficiency were recorded during Cycle I; however, certain inaccuracies remained consistent across evaluative dimensions. In Cycle II, significant enhancements were evident, with a predominant fraction of the student population achieving the stipulated Minimum Completion Criteria (KKM) score. Feedback solicited from students predominantly underscored the superiority of the integrated approach in comparison to conventional pedagogical techniques. The findings underscore the potential of combining Quizizz media with a project-based learning framework as an instrumental mechanism for ameliorating students' speaking abilities. However, this study recognizes inherent constraints, notably the limited sample dimension and an exclusive emphasis on speaking proficiencies. Subsequent investigations are recommended to discern the versatility of the combined Quizizz media and Project Based learning approach in varied linguistic competencies and pedagogical environments.
Editorial Scaling Up Quantum Systems: Engineers Wanted!

I just finished reading Kathy Kleiman's fantastic book, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Proving Ground</i> , about the ENIAC 6: the six women who were the first team dedicated to programming the world's first fully programmable, digital, electronic computer. The parallels between the earliest digital computers and the state of today's quantum computers are obvious and well-trodden at this point, but let me present one such parallel before summarizing the incredible year of 2023 in quantum engineering. Jean Bartik, Kathleen Antonelli, Marlyn Meltzer, Betty Holberton, Frances Spence, and Ruth Teitelbaum had a crucial job whose importance was not appreciated at the time: they served as the bridge between the experimental physicists and electrical engineers who were building the machine and the theoretical physicists with equations they wanted to solve or systems they wanted to simulate. All six had come up through the ranks as computers and were given the title of programmer, but still ranked as clerical staff in pay grade. And yet, their job entailed understanding the research-level mathematics of the applications and the wiring of ENIAC and its signal propagation down the microsecond level. In today's terms, even the word “microcode” does not quite capture the detailed level at which they worked when designing the machine wiring and switch configurations needed to numerically solve partial differential equations.
A study on parents' perceptions on consolidation of early childhood education and childcare

The purpose of this study was to provide fundamental data on parents' perceptions regarding the consolidation of Early Childhood Education and Childcare (ECEC) and to explore a desirable direction. To achieve the objectives of the research, an online survey was conducted of parents whose infants and toddlers (or young children) attending in kindergartens and daycare centers. The survey continued from July 27 to August 5, 2022. The research study aimed to analyze the choice of the institution, the inconveniences, improvement requirements, usage time, teachers and curriculum, as well as their opinions on the integration of reservation for deriving meaningful implications. The primary result of the data analysis revealed that they might not accurately recognize the necessity and the advantages and disadvantages of ECEC integration, emphasizing the need for public awareness campaigns on this matter. Building upon these research findings, the study suggested that a future policy implementations should be involved gathering the opinions from the public, parents, and experts as a crucial policy implication. Based on the research results, it was suggested that the policy implementation that collects opinions from those skateholders is necessary in the future.
Perceptions and demands of early childhood teachers for climate change education for young children

This study investigates early childhood teachers' perceptions and requirements concerning climate change education for young children, aiming to inform improvements and the development of early childhood climate change education programs. The research involved 356 early childhood teachers from Seoul and Gyeonggi regions, with data collected through online surveys and analyzed using SPSS 25.0. Qualitative analysis was applied to open-ended questions related to the definition of 'climate change.' Key findings include early childhood teachers demonstrating a robust awareness of climate change's gravity. However, they often perceive 'climate change' as primarily 'environmental destruction and natural disasters,' indicating a limited understanding of the concept. Despite 98.8% recognizing the need for early childhood climate change education, the implementation is challenged by high workloads and inadequate preparation time. Vital requirements for effective implementation include the development and distribution of materials suitable for young children's developmental stages and specific climate change educational resources for teachers. Teachers emphasize a proactive, practical educational approach that fosters understanding of climate change causes and impacts while promoting active responses and adaptation. Notably, even though over half of the teachers lacked prior climate change training, roughly 80% expressed intent to participate in future training. These findings lay the groundwork for discussions on early childhood climate change education and teacher training.
Rancang Bangun Sistem Informasi Keuangan Masjid Al – Hikmah Pada PT. Surya Toto Indonesia Berbasis Web

Al-Hikmah Mosque is located in PT. Surya Toto Indonesia Jl. MH. Thamrin Km. 7 (Serpong) Tangerang Banten Indonesia. Al-Hikmah Mosque is one of the mosques that have many activities, such as routine studies, thematic studies, infaq management, and activities to celebrate Muslim holidays (Eid al-Fitr, Eid al-Adha, and Friday prayers). This study aimed to promote the management of the Al-Hikmah mosque in the management of mosque finances. To support this research, an Al-Hikmah financial information system created that can be used for the purpose of this research. The method of developing the Al-Hikmah mosque information system used the Waterfall method, began from needs analysis with data collection through interview and observation methods, and then precedes with system architecture design and implementation through programming, to the testing phase. This testing phase used the Black Box method and evaluation to test whether the system was running well. The Al-Hikmah Mosque information system hoped that will make it easier for mosque administrators to manage infaq.
A representação feminina no Congresso Nacional De Arquivologia (CNA)

Women, for a long time, were in a position of caring for the home and raising children. Having as direction the research sought to analyze their role as researchers. We analyze its progress in the archival field, the basis for such analysis is the National Archives Congress (NCA) during the last eight editions. And for this research, we aimed atunderstandingand verifyingthe female representation in publications with regard to authorship, co-authorship and collaboration, in addition to the main themes in which they have been dedicated in the scientific field. The data were analyzed in a quali-quantitative, descriptive and explanatory way in crucial points of the tabulated data. In this way, we found an active participation, however, still in aprocess of growth compared to male authors.
E-journal as a Student Learning Source

In the era of the industrial revolution 4.0, information and communication technology is growing rapidly. So rapidly, almost all lines of human life use the internet, including the world of education. The presence of technology in the field of education makes learning more effective and varied and makes students more creative and innovative. One of the products of information and communication technology innovation is e-journal. This innovation develops online-based journals. This is of course very helpful and facilitates students in completing their studies. In other words, e-journals are needed as a learning resource for students. This article discusses the use of e-journals for students as a source of learning. The method of preparation in this article is a literature review. Furthermore, the final result of this article presents the concepts, types, benefits and barriers as well as the advantages and disadvantages of e-journals as a learning resource for students.
Evaluation of User Experience on Learning Management System for Programming Course Through User Experience Questionnaire Method

The transition from the pandemic period to normal again requires adaptation to habits, one of which is in learning, which was previously carried out online, now the learning model is offline again. Students are accustomed to using gadgets in their daily lives. Even in the current conditions, although the situation returns to its original state, adaptation is needed, one of which is in the learning model and making learning media to support teaching and learning activities. So, we put forth in this study the hypothesis that gamification applied to mobile learning through Case Based Learning should facilitate students’ comprehension of the subject matter, foster a sense of competition among them, and inspire them to learn. ADDIE stands for Analyze, Design, Develop, Implement, and Evaluate, and it is the acronym used in this study. The trial was carried out by material and media tests, small group tests, and field tests. Data analysis in this study used descriptive statistical tests and qualitative analysis. On the results of the UEQ questionnaire test, the Attractiveness scale obtained a score of 1.60, the Perspicuity scale obtained a score of 2.00, the Efficiency scale obtained a score of 1.61, the Dependability scale obtained a score of 1.00, the Stimulation scale obtained a score of 1.14, and the Novelty scale obtained score 0.90. The design improvement solution demonstrated improvement over the initial evaluation and received a favorable score on the UEQ questionnaire testing. It is anticipated that the creation of mobile learning applications would provide students with accessible, real-world mathematical learning resources that they may utilize at any time and from any location.
Elliptical Gaussian Beam Decomposition Using Multi-Layer Perceptron Network

This paper investigates Elliptical Gaussian beam decomposition through the use of multi-layer perceptron (MLP) network. The advantage of employing the MLP network for elliptical Gaussian beam decomposition lies in its capability to maintain exceptional decomposition efficiency even when faced with intricate fields and sudden phase changes. Compared to the analytical method of elliptical Gaussian beam decomposition, the MLP network demonstrates lower residual energy in the decomposed residual field when decomposing the same number of sub-Gaussian beams. The results indicate that this technique has significant potential for the beam propagation in systems with large electrical size.