Reviewerly/exHarmony huggingface dataset:
Website User Behavior at the Semarang Health Data Repository - Udinus Campus (SEHARIKU)

Background and Objectives: Efforts to use data to aid decision-making have not yet realized their full potential. The Faculty of Health, Dian Nuswantoro University (Udinus), has launched Semarang Health Data Repository - Udinus Campus (SEHARIKU) as a health data storage website in Semarang City. However, the public's use of SEHARIKU remains restricted, probably due to a variety of causes such as a lack of awareness of the presence of this site, a lack of information available on it, or features that are not optimal. The purpose of this study is to investigate user behavior on data storage websites.&#x0D; Methods: This research uses a user study approach with a descriptive research design using an online survey of SEhariku website users. The survey contains a series of questions regarding user behavior when using the SEHARIKU site, for 83 users on the SEHARIKU website.&#x0D; Results: The research results show that the majority of users have a low frequency of use, of which 51.8% of them 'rarely' access the SEHARIKU website, but the majority of respondents consider the search feature easy to use. Satisfaction with the graphic visualization features in SEhariku is high, with 92.3% of respondents stating they were satisfied or very satisfied. The majority of users also found the platform convenient for finding the data they needed, with 80.7% finding their searches easy. To increase the use and benefits of SEHARIKU, and overcome the low frequency of use, it is necessary to improve existing features such as the search feature, and intensify promotional efforts along with increasing awareness about the benefits of the website.&#x0D; Suggestion: Motivating users to actively provide input and recommendations for future development of SEHARIKU is very important.
The evaluation game: how publication metrics shape scholarly communication <b>The evaluation game: how publication metrics shape scholarly communication</b> , by Emanuel Kulczycki, Cambridge University Press, 2023, pp. viii+228 pp., £29.99(hardback, paperback and e-book), ISBN-10: 1009351192, ISBN-13: 978-1009351195, Online ISBN:9781009351218.

"The evaluation game: how publication metrics shape scholarly communication." Educational Review, ahead-of-print(ahead-of-print), pp. 1–2
Implementation of Self-Attention-based 2D CNN Models for Enhancing Remaining Useful Life Predictions Using Multivariate Time Series Data

Purpose: This research aims to introduce a novel a methodology for predicting the Remaining Useful Life (RUL) using multivariate time series data.BRMethods: The proposed RUL prediction methodology comprises of the following steps: 1) Reorganizing the multivariate time series data to enhance the correlation between different time series datasets; 2) Streamlining various time series data into a single pixel utilizing 2D convolutional layers; 3) Emphasizing the substantial correlation among different time series using a self-attention layer; 4) Estimating the RUL with Bi-LSTM and fully connected layers.BRResults: In comparison with existing deep learning models utilizing the identical test datasets, the proposed model exhibits greater performance in RUL prediction. A detailed analysis reveals the model’s merits in terms of data reorganization alongside the application of 2D CNN and multi-head self attention layers in the RUL prediction.BRConclusion: The proposed model provides more accurate RUL estimation results relative to pre-existing models using multivariate datasets obtained from multiple sensors, showing promising potential for its use in real-world applications.
Penerapan Model Prototype Untuk Pembangunan Sistem Point of Sale (POS) Pada Toko Ritel

Point of Sale (POS) system in the business field, especially in the field of sales in retail stores is needed. This is because POS can replace business processes from conventional to systemized using electronic devices, namely computers. Toko Kafindra currently has not implemented a computerized business process. Therefore, this research implements a POS that can help Toko Kafindra in facilitating the management of business processes so that the retail store business can grow rapidly. This research uses a prototype model to facilitate the identification of user needs for the system to be built. The results showed that the Kafindra Store POS not only made it easier for the owner to know the outgoing goods but also could make it easier for the owner to know the incoming goods using the system of purchasing goods to suppliers. In addition, based on the results of the blackbox test on the system, the test results are valid and the system functions properly
Bipolar Fuzzy Shift UP-Filters

Thiti Gaketem, Pannawit Khamrot, Pongpun Julatha, Rukchart Prasertpong, and Aiyared Iampan. International Journal of Fuzzy Logic and Intelligent Systems 2023;23:294-302. https://doi.org/10.5391/IJFIS.2023.23.3.294
Pengaruh Konten Review, Kualitas Produk, Dan Gaya Hidup Terhadap Minat Mahasiswa Menggunakan Fashion Produk Lokal

This study aims to examine and determine the effect of review content, product quality, and lifestyle on students' interest in using local products fashion. The population in this study were students of the Faculty of Economics, Merdeka Madiun University, users of local products fashion. The sample size in this study was 152 people. The method used in sampling is purposive sampling. The research instrument used a questionnaire. Data analysis techniques used the classical assumption test, multiple linear regression analysis, analysis of the coefficient of determination, and hypothesis testing using the t test and F test. The results showed that the content review variable partially had a significant effect on students' interest in using local products fashion, product quality variables partially has a significant effect on students' interest in using local products fashion, lifestyle variables partially have a significant effect on students' interest in using local products fashion, and simultaneously the review content variables, product quality, and lifestyle have a significant effect on students' interest in using local products fashion.
Hybrid Deep Learning Model Based on Sparse Recurrent Architecture

Deep neural network has made surprising achievements in natural language processing, image pattern classification recognition, and other domains in the last few years. It is still tough to apply to hardware-constrained or mobile equipment because of the huge number of parameters, high storage as well as computing costs. In this paper, a new sparse iteration neural network architecture is proposed. First, the pruning method is used to compress the model size and make the network sparse. Then the architecture is iterated on the sparse network model, and the network performance is improved without adding additional parameters. Finally, the hybrid deep learning model was carried out on CV tasks and NLP tasks on ANN, CNN, and Transformer. Compared with the sparse network architecture, we finally found that the accuracy of the MINST, CIFAR10, PASCAL VOC 2012, and SQuAD datasets is improved by 0.47%, 0.64%, 3.75%, and 15.06%, respectively.
Rancang Bangun Aplikasi Pengarsipan Berkas Berbasis Android pada Kantor Notaris NJ

Archives is a collection of records or documents containing information on the activities and transactions of an organization, institution, and company. The Notary office NJ notary has been using conventional methods for archiving files, which requires a considerable amount of time when needing to retrieve such data in the future. Due to this conventional approach, human errors often occur. The purpose of this research is to develop an Android-based file archiving application for the Notary Office of NJ. The waterfall method is utilized for system development. The application is designed using Figma and built using android studio. Based on the results of black box testing, the developed application can be used without any errors or bugs. Additionally, Usability testing was conducted to measure the level of usefulness, with a learning aspect score of 96%, an efficiency aspect score of 0,024 goals/sec, an average overall relative efficiency of 82.1%, and an error aspect score of 0.04. Based on these results, it can be concluded that the application is suitable according to the usability testing, and it is suitable for implementation in the notary office of NJ
Intermediation in the Functional Structure of Libraries

The promotion and popularization of scientific knowledge among all members of society is one of the most important tasks of all scientific and cultural institutions. The related library also solves this problem. But does its functional structure change at the same time? The author examines the essence of communicative and intermediary functions. The purpose of the article is to find an answer to the question: what function does the library perform in order to promote the interaction of science and society. The author shows the differences between the communicative and intermediary functions of libraries of different types in the formation of a scientific worldview. The author comes to the conclusion that, due to the humanitarian education of their employees, municipal, city and regional libraries are able and obliged to perform a communicative function for solving leisure tasks, and intermediation – through a system of mass events – for the development of a scientific worldview. University libraries, depending on their direction, can perform both a communicative and intermediary function (this is especially true for libraries of technical and natural science universities). The author believes that theoretically it is possible to explain the intermediary function only on the basis of studying the more general ability of the library to "communicate". This function is the original universal. And in this universality intermediation tasks come to the fore in the library in the interaction of science and society. In order to implement the communicative and intermediary functions, librarians need to possess certain knowledge, not formal, but substantive: the communicative function requires not only "purely" library and bibliographic knowledge of service, but also knowledge ranging from the history of science to understanding its modern problems and tasks. It may seem that the knowledge that cultural universities currently provide is enough to implement the intermediary function. But advanced training courses are needed tо introduce new popular science literature on any scientific field, new names, new scientific achievements. This is necessary not just in order to hold mass events known from university library education, but to invite certain scientists and specialists.
Multi-Density Datasets Clustering Using K-Nearest Neighbors and Chebyshev’s Inequality

Density-based clustering techniques are widely used in data mining on various fields. DBSCAN is one of the most popular density-based clustering algorithms, characterized by its ability to discover clusters with different shapes and sizes, and to separate noise and outliers. However, two fundamental limitations are still encountered that is the required input parameter of Eps distance threshold and its inefficiency to cluster datasets with various densities. For overcoming such drawbacks, a statistical based technique is proposed in this work. Specifically, the proposed technique utilizes an appropriate k-nearest neighbor density, based on which it sorts the dataset in ascending order and, using the statistical Chebyshev’s inequality as a suitable means for handling arbitrary distributions, it automatically determines different Eps values for clusters of various densities. Experiments conducted on synthetic and real datasets have demonstrated its efficiency and accuracy. The results indicate its superiority compared with DBSCAN, DPC, and their recently proposed improvements.
Chatbots in the Workplace: An Interpretive Phenomenological Study of Workers on the Use of ChatGPT

The development of AI technology, such as advanced chatbots, provides many variations of assistance to humans. This research discusses the use of chatbots, particularly ChatGPT, in the workplace based on interviews with three informants. Using interpretive phenomenological methods, the study seeks to find out the experience of using ChatGPT to help complete work tasks. The researcher found that ChatGPT can personalize responses based on user prompts. The speed of providing feedback is the Media Richness Theory's dimension that dominates the results of this study. The superiority of ChatGPT is recognized in terms of its speed in providing feedback when quick resolution of work tasks is needed. However, the research also highlights the weakness of ChatGPT in terms of its limited knowledge storage. Further research is expected to explore experiences related to the use of Chatbot technology with other models to enhance understanding of communication technology industries based on AI.
Development of a Training Platform based on Hazard Analysis

Purpose: In the development of weapon systems, it is essential to develop CBT (Computer-Based Training) as an educational and training tool. To maximize the effectiveness of training, we propose a method for selecting core training content to conduct preliminary learning for dangerous incidents that may occur during the operation of weapon systems. Additionally, we propose a plan for developing a training platform for creating content and conducting training based on virtual reality.BRMethods: Based on the types of mitigation measures derived from the hazard analysis, we establish the criteria for selecting educational training content. We suggest a training platform that develops a server-client platform, allowing multiple trainees to simultaneously access and conduct virtual reality-based training and manage the content themselves.BRResults: If the scenario needs modification, the trainees can directly modify, add, or delete the scenario using the training platform. Moreover, new training content can be customized. Additionally, by managing the results of the weapon system
Mastering Vocabulary with Flashcards: Unveiling Their Impact on Learning

This research aimed to discover how using flashcards affected seventh-grade SMP Negeri 2 Toili students' vocabulary growth. The research design used quantitative research. The researcher employed a complete sampling approach to choose the sample. A sample of 42 students was chosen for this research. The research conducted pre- and post-tests to collect data. According to the Paired Sample Statistics table, the average student score for the experimental class is equivalent to the post-test results, which are 86.67 points greater than the pre-test result of 64.76. Given that the significance (2-tailed) value is known to be between 0.001 and 0.05, H0 is refused, whereas H1 is approved. The fact that there was a distinction between the pre- and post-tests indicates that employing flashcards to increase vocabulary among seventh-graders at SMP Negeri 2 Toili had an impact.
Features of the organization of 3D experiments in physics

This article examines the study of the features of the easy organization of virtual experiments in the section «Optics». This research is aimed at improving the conceptual skills of a future specialist in the field of optics with the help of a virtual laboratory. This research and development consisted of three stages, namely preliminary research, design of a virtual laboratory and testing of a virtual laboratory. Due to the training conditions, it is very difficult to perform virtual laboratory work. Combining query-based learning with virtual laboratory activities can be an alternative to developing a simpler, but meaningful learning process within the framework of training. This study is aimed at analyzing virtual laboratory activities through training based on the request for scientific literacy on the topics of light phenomena and optics. The study used mixed methods with a consistent design in the form of a non-equivalent design of the control group. Samples were taken using the target sampling method. The data was collected through observations, surveys and tests, as well as interviews. The data were then analyzed using an independent sampling criterion and a homogeneity test to see the effectiveness of the training of the two sample groups. The results show that the practical effectiveness of training using a virtual laboratory was very successful and received good reviews. The effectiveness of the virtual laboratory can be assessed by the level. Thus, virtual laboratories can be used as teaching aids that can make a positive contribution to improving student academic performance.
Certificateless directed signature scheme without bilinear pairing

ABSTRACTIn Eurocrypt'96, the concept of Designated Verifier Signature was proposed. Such signatures can only be verified by a single designated verifier specified during signature creation. However, there exist situations in which the signer, as well as the designated verifier, should be equipped with the ability to check the validity of the signature. At the same time, either of them should be able to help third parties to verify the signature. This is achieved by Directed Signature Schemes. In this paper, we consider directed signatures in the certificateless cryptography setting and propose an efficient pairing-free certificateless directed signature (CLDS) scheme. Then, we prove that the proposed CLDS scheme meets the needed security requirements in the random oracle model and under the assumption of the hardness of discrete logarithm and Gap Diffie-Hellman problems. We also compare the proposed scheme with the related ones to indicate the overall superiority of the proposed CLDS scheme.KEYWORDS: Certificateless cryptographydesignated verifierdigital signaturedirected signaturepairing-free Disclosure statementNo potential conflict of interest was reported by the author(s).
Web-Based Expert System for Early Diagnosis of Skin Diseases in Cats Using the Naïve Bayes Method

This journal discusses the development of a web-based expert system for early diagnosis of skin diseases in cats using the Naïve Bayes method. Skin disease in cats is a health problem that often occurs and requires fast and accurate diagnosis. This expert system is designed to assist cat owners and veterinarians in identifying potential causes of skin symptoms in cats. The Naïve Bayes method is used in this system because of its ability to process symptom data and produce predictions based on probability. Symptom data is collected from various sources and used to train a Naïve Bayes model. Next, the system allows users to enter symptoms observed in their cat, and the system will provide an initial diagnosis based on the information provided. The experimental results show that this expert system is able to provide an initial diagnosis of skin diseases in cats with a sufficient level of accuracy. This provides a great benefit to cat owners in taking early action and further veterinary consultation. Apart from that, this expert system can also be used as a supporting tool for veterinarians in the process of diagnosing skin diseases in cats. Thus, this research provides an important contribution to the development of expert systems in the field of animal health, especially in the early diagnosis of skin diseases in cats.
Grouping of Outstanding Students at Abdi Negara Vocational School Using the K-Nearest Neighbor Method

Abdi Negara Vocational School is a Vocational High School in the city of Binjai. To improve the competence of their students, and so that students are more focused on developing their own potential and interests. As for the basis for classifying students, namely values, academic potential, academic ability, academic achievement, ethics and attitudes, as well as the assessment of teachers and homeroom teachers. Currently the system running at Abdi Negara Vocational School for grouping students is through school management and teacher meetings. Where in the meeting it will be discussed which students are nominated as outstanding students. So the homeroom teacher will provide names for consideration. The grouping process at Abdi Negara Vocational School has several problems, including first, a lot of data will take up time, energy and requires extra precision. Second, the accuracy of the recapitulated processed data is often wrong because the components used as parameters are quite a lot, as well as the data to be grouped. From these problems, we need a technique that can help in grouping high achieving students in State Vocational Schools precisely and accurately so as to reduce the risk of errors. Algorithms such as K-Nearest Neighbor and a website-based system can make it easier to input grades and group students. From the results of trials on existing cases, it was obtained that a student named Rahma was classified as an Outstanding Student. These results are obtained from the results of calculations with the distance between the selected K values ​​and then with the most classification, namely the outstanding students with grades0.929 and 0.976.
Artificial Neural Network for Classification of Dengue Fever Using Backpropagation Algorithm

Fever is an increase in body temperature to higher than usual. Normal human body temperature is at 37oC, if the body temperature is more than this figure, it indicates a fever caused by infectious or non-infectious factors. The main symptom of Dengue hemorrhagic fever is high fever with a temperature between 30oC - 40oC which appears suddenly, the fever lasts for 7 days and occurs continuously, body temperature can be normal or low, then will rise slowly every day and can reach 40oC . These two diseases are still a public health problem in urban areas, including in the cities of Binjai and Medan. The problem that has occurred so far is that people in general cannot differentiate the symptoms of Dengue Fever from Malaria, so the treatment given only provides ordinary fever medicine, so that within three days there is no change and the high body temperature makes the patient know that someone has dengue fever. Therefore, the solution provided in this research is to find out the physical characteristics experienced by the sufferer before further diagnosis is carried out. If someone has a fever above 38oC, the body has red spots, irregular breathing, immediately go to the doctor because these symptoms indicate symptoms of dengue hemorrhagic fever or malaria fever. Artificial neural networks are an information processing system designed to imitate the workings of the human brain by carrying out a learning process through changing the weights of synapses. The human brain consists of millions of interconnected neurons known as biological neurons. Each neuron consists of a cell that has a number of dendrites (input) and an axon (output). Axons connect to other neurons through connecting pathways that produce chemical reactions when responding to incoming input. The input required includes the number of input variables, input variable values, weights, learning rate, threshold, maximum epoh and target (output) with the error value classification used is Mean Absolute Error (MAE), there are 2 types of disease with fever symptoms used. The types of disease are dengue hemorrhagic fever and malaria and the system will be designed using the Visual Basic 2010 programming language. From the results of the research that has been carried out, classification results are obtained with a value of 0.893619481 or rounded to equal 1 and classified as dengue hemorrhagic fever.