Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem Informasi Pemberkasan Klaim BPJS Gawat Darurat Menggunakan Microsoft Visual Studio

Hospitals must be able to determine how to carry out a policy in making decisions on the implementation of computerization in health care units by taking into account existing implementation procedures. Medical record filing activities must pay more attention to the completeness of the files in accordance with the needs of the claim, because if one of the filing sheets is not available, the claim may not be accepted. The results of the observations showed that in the emergency service unit, it was found that in processing patient data, they still did manual recording not yet fully computerized. Sometimes when a computerized system is not implemented in processing patient data files, the time for claiming is hampered. The purpose of this study is to describe the BPJS emergency claim filing information system. The research method applied in this research is the development of the waterfall method. The tools used in the system development process are Flowcharts, Data Flow Diagrams (DFD), and Entry Relationship Diagrams (ERD). The results of the analysis of the system design will then be applied to a system to be able to test the feasibility of an application based on Microsoft Visual Studio. Based on this research, it can be concluded that the emergency service procedure policy has not been fully computerized so that it affects other units in BPJS claiming activities.
To Assess The Accuracy Of Radiology Procedure Codes For Standardization And Structure Of Radiology Department

Aim: To see accuracy of radiology procedure codes for standardization and structure of radiology department Methods: 100 cases for each procedure i.e. radiology, fluoroscopy, MRI and CT scan were selected. Request forms were reviewed and the assigned codes were compared with the films of radiology on a system called picture archiving and communication system (PACS). This system determines the appropriate coding. Results: In this study, accurate coding in MRI, fluoroscopy, CT scan and X rays was 99%, 95%, 90% and 85% respectively according to local guidelines. Conclusion: This study concludes that MRI has maximum accuracy i.e. 99% and x rays have minimum i.e. 85%. Keywords: Codes, CT, MRI
Privacy Preserved Smart Security System for Elderly Community

The rapid expanding modern world has left behind a huge number of old-aged persons alone at home. Most often, the security provided to them is limited to deploying CCTV surveillance or appointing security personnel. Current real-time health monitoring devices concentrate on the regular health check, and fail to address the emotional elements of the users (1-3). In majority of the attacks aimed against stranded persons, the attackers impose a sudden mental shock on the target which is not addressed by the current wearable health monitoring devices (4-5). In this work, we propose an efficient solution that can effectively monitor the health and security of such persons. It offers a smart system that ensures better security and immediate attention of caretakers. The system analyzes the signals from the sensory module and gives out health related information and most importantly produces alerts whenever it senses an abnormal change in pulse. The system also takes into account the privacy of the contained data through a distributed nature of operation. It is aimed to provide quick response to rapid changes in vitals thereby ensuring the availability of an immediate attention, with a firm assurance on the privacy that only the necessary information will be sent out to the outer world.
Analysis of STEM-Based Student Worksheet Development with Scaffolding using the Web

This study aims to analyze the needs of teachers and students on the development of learning media in the form of STEM-based student worksheets with scaffolding using the web. The development is carried out using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Data obtained through interviews submitted to teachers. Teachers need an interesting learning media and can help students understand the material. While students need learning media that can help students towards understanding concepts. So that researchers will develop student worksheets using the web. Products produced in web form and based on STEM with Scaffolding
Design of Novel Key Generation Technique Based RSA Algorithm for Efficient Data Encryption and Decryption

The RSA cryptosystem is the most extensively used shared key cryptosystem. It is the first cryptosystem to employ the use of a public key. The more powerful this cryptosystem is, the larger the key. There are several RSA algorithms and variants. Nonetheless, it has snatched the hot topic of science. The desire to keep sensitive data safe isn't going away. Data is continually moving over the network in today's environment. The scope of this network could be local or worldwide. It will be sent to you by email or another method. It's also critical to keep sensitive or private information out of the hands of prying eyes. There is also a requirement to develop a zero-tolerance security method. This study offered a time-saving method for generating encryption and decryption keys. This method of key generation may be beneficial to all RSA implementations.
Document-level Stance Detection Method for Specific Targets Based on XLNet

Abstract Social media and slef-media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances. As far as we know, most of the current research focuses on short texts. However, there are relatively few studies on how to collect and extract people’s opinions and stances from long texts such as review articles. This paper proposed a target-specific hierarchical attention model based on the XLNet pre-training model, named XLNet-THAN. The attention mechanism and topic embedding are utilized to obtain the semantic representation of the document. After contrast experiments with other popular text classification models, the result shows that the model proposed in this paper can process document-level text well, and achieves great performance in the task of document-level stance detection.
Certificateless Integrity Checking of Group Shared Data on Public Distributed Storage

Abstract: Distributed storage administration supplies individuals with an effective strategy to share information inside a gathering. The cloud server isn't reliable, so loads of far-off information ownership checking (RDPC) conventions are proposed and remembered to be a successful method for guaranteeing the information honesty. Notwithstanding, the vast majority of RDPC conventions depend on the system of customary public key framework (PKI), which has clear security defect and bears enormous weight of testament the board. To stay away from this inadequacy, personality-based cryptography (IBC) is many times decided to be the premise of RDPC. Tragically, IBC has an inborn disadvantage of key escrow. To tackle these issues, we use the method of certificateless mark to introduce another RDPC convention for checking the trustworthiness of information divided between a gathering. In this paper, we propose a novel server-side deduplication scheme for encrypted data. It allows the cloud server to control access to outsourced data even when the ownership changes dynamically by exploiting randomized convergent encryption and secure ownership group key distribution. This prevents data leakage not only to revoked users even though they previously owned that data, but also to an honest-but-curious cloud storage server. In addition, the proposed scheme guarantees data integrity against any tag inconsistency attack. Thus, security is enhanced in the proposed scheme. The efficiency analysis results demonstrate that the proposed scheme is almost as efficient as the previous schemes, while the additional computational overhead is negligible. Keywords: Cloud, Encryption, de-duplication,
Determination of the Appropriate Number of Photovoltaic Panels for Microgeneration and Self-supply of Final Consumers by Energy Production Estimation via Fuzzy Logic

A method is presented to determine the appropriate number of photovoltaic panels that should be installed in an end-user photovoltaic installation to guarantee the supply of energy to the load during the hours of solar radiation, according to factors such as the installation area and global solar radiation.Solar radiation is predicted by approximating the daily distribution of global irradiance through a Gaussian function, which is subsequently corrected using a heuristic approach.Meteorological parameters are used as input data such as the daily solar insolation and the maximum global irradiance for each day; this last parameter is obtained through an expert system based on fuzzy logic that was programmed and trained with the data of ambient temperature and relative humidity that were obtained in the processing stage.Output from this expert system is the predicted values of maximum radiation obtained for each day for a selectable time interval.With the predicted solar radiation, the generation of electrical energy from the photovoltaic panels is calculated.The load is randomly modeled from a pattern of the energy demand of the building to be powered by the photovoltaic system.The number of photovoltaic panels needed is found with the information acquired in the previous stages and the information of the energy demand of the load and the installation area.The results are the number of solar panels that would be needed at all hours of the day from which the radiation prediction was made.
THE USE OF ENGLISH LINGUISTIC LANDSCAPE IN PALANGKA RAYA CITY

This study discusses the use of English in the linguistics landscape in Palangka Raya city, Central Kalimantan. English is used as an international language, it is not just a means of communication, but it must also obey the rules and correct language. Then, linguistics landscapes are all open areas in Palangka Raya that are generally open and accessible to everyone. It has a function in the cities. The purpose of the study was to describe the practical use of the English linguistics landscape in the city of Palangka Raya, according to the texts from signboards, billboards, and posters in Palangka Raya. Data were collected by observation and interviews. The data were analyzed by referring to the literature review and looking at the function of language. In fact, after analyzing the use of English in the linguistics landscape, some texts did not comply with the rules, especially errors in spelling. Then, the researcher found two kinds of English language functions in using the English language linguistics landscape in Palangka Raya city, such as informative and interactive uses.
Research on robust control method of permanent magnet synchronous motor

Abstract During the operation of permanent magnet synchronous motor, the traditional vector control method does not match the regulator parameters with the actual parameters due to the disturbance factors such as motor parameter perturbation and load change, resulting in the decline of control performance. The research object of robust control is uncertain system, which has natural advantages for improving the robustness of control system. Firstly, this paper introduces the basic principle and implementation process of robust control, simulates and analyzes the influence of motor parameters on control performance, investigates and summarizes the improvement methods of traditional vector control, and points out the advantages and disadvantages of each scheme; Secondly, the similarities and differences of the improved methods are analyzed and compared; Finally, the development trend of permanent magnet synchronous motor control technology based on robust control is prospected.
An Intelligent Accuracy Prediction in Recognition and Transformation of Hand Gestures Into Visual Data Using Novel Feed Forward Neural Networks in Comparison with CNN

Aim: The purpose of the work is to precisely and accurately recognize the hand movements by impaired people into relevant speech signals. Materials and Methods: ASL Alphabet dataset having 29 hand gestures with 26 alphabets and 3 words are used to train and test the hand gesture recognition framework. The proposed model can perceive hand movements captured through a camera in real-time into visual display. The intent is realized by databases with the help of two groups namely Convolutional Neural Networks (CNN) and Feedforward Neural Networks (FNN) to identify the more relevant Movement Hand Images (MHI). The sample size is estimated as 20 using G Power. Results and Discussion: Test results exhibited the prediction accuracy of the model with FFN (83%) and CNN (70%). There exists a statistical significant difference among the study groups with significance value (p&lt;0.05). Conclusion: Hand gesture Recognition framework with FFN delivered better results compared to CNN in terms of performance measures, less data loss, and accuracy in recognizing hand gestures.
Designing an Ethereum-based Blockchain for Tuition Payment System using Smart Contract Service

The security and disclosure of information in online transaction data remain a sensitive subject until this day. Whenever data collection from a transaction process is accessible over the internet system, certain parties may misuse any one of these data. Blockchain technology, which includes the use of smart contracts, is thought to overcome this problem due to the blockchain's decentralized and distributed nature. Blockchain allows transaction data to be accessed openly and transparently while securely protected by hashing encryption owned by intelligent contracts. This enables users to have detailed access privileges to each transaction's data. The development of smart contracts will be carried out in the production of microservices payment gateways based on decentralized apps (DApps) on the Ethereum blockchain in this research, with the payment gateway generated being used in the tuition payment process. The Truffle framework and the Metamask wallet will be used to assist the Ethereum payment process during the DApps development process. Testing the functionality of each intelligent contract feature reveals that the payment system can be utilized effectively and that there are no issues that cause transaction failures.&#x0D;
Precision Education Evaluations for Small Class Courses Using Artificial Intelligence

Recently, small class course teaching, with less than 30 students, seems to outperform the traditional large class course teaching in the field of education. Students can use online private course platform to preview course-related knowledge and promote practical experiences of offline courses. In this study, an evaluation strategy has been proposed for precision education protocol in small class course (SCC) based on artificial intelligence (AI), with the goal of focusing on the curriculum design and teaching approaches. By using the AI precision education model, the teaching approaches of SCC can be integrated into the traditional classroom. The results showed that the AI precision education model can promote the learning outcomes and enhance students’ learning achievements.
WORKSHOP PEMBUATAN MEDIA PEMBELAJARAN QUIS INTERAKTIF MENGGUNAKAN MICROSOFT POWERPOINT BAGI GURU SMPN 1 WAIGETE

With the increasing development of technology, teachers are required to be able to master IT in learning. A variety of active and interactive learning media can motivate students in learning. This causes the need for interactive, fun, and easily accessible media. This service aims to provide knowledge and practice on making interactive learning media in the form of quizzes using PowerPoint. The results of this service got an excellent response from the teachers at SMPN 1 Waigete. With the resulting Quiz media in the form of PPT, the teachers felt that the media was beneficial and provided much knowledge that had not been obtained so far. It can be seen from the results of the questionnaire that mastery can make media quizzes using PPT 60%, while 40% still need guidance and assistance. Thus, the teachers feel that this service activity is significant to increasing their IT knowledge, and they hope that they will not stop making quizzes but can continue with other IT training because the teachers' mastery at SMPN 1 Waigete is still minimal
Design of Load Balancing Technique for Cloud Computing Environment

Cloud computing allows for the provision of IT resources on-demand and has various advantages. Because the majority of firms have shifted their activities to the cloud, data centers are frequently flooded with sporadic loads. When dealing with high network traffic in the cloud, it is necessary to balance the load among servers. This is something that load balancing can help with. The primary goal of load balancing is to distribute demand evenly among all available servers such that no server is under or overloaded. Load balancing is the process of dispersing load among several nodes to make the best use of resources when work is overwhelmed. When a node is overburdened to support the load, load balancing is essential. When a node becomes overcrowded, the load is dispersed to the remaining optimal nodes.
Korelasi antara jumlah publikasi dosen dengan penggunaan layanan RemoteXs Perpustakaan UNAIR

Introduction. Social restrictions due to COVID-19 have made it difficult to obtain research data and literature to support publication activities. Universitas Airlangga (UNAIR) provides Remotex facilities or remote repository access, where academics can read and download journals of international repute. This paper aims to analyze whether there is a relationship between RemoteXs access by faculty and the number of publications on Scopus.Methodology. This study uses statistical data on the number of times the repository is accessed by the faculty. a sample of the number of papers was also taken from the Scopus website. Data were analyzed by the Pearson Correlation method.Results and discussion. The results of the study show that the number of lecturers' accesses has no correlation with the number of publications. Meanwhile, the total repository access at the faculty is strongly correlated with the number of publications.Conclusion. There is no relationship to how many times the number of RemoteXs access publications on Scopus. However, there is a relationship with the faculty, this is because of the doctoral program in the faculty that is required for publication.
A Survey on Blockchain Based Digital Forensics Framework

Abstract: Blockchain is the best suited technology that well satisfies the purpose and needs of security and integrity of evidences or proof collected by the police department as digital forensics across the country. This paper potray a blockchain based digital forensics framework as the proposed system, enabling privacy preservation and proof of existence. The proposed system is achieved by using SHA algorithm, AES encryption technique (Rijndael) and blockchain methodology. SHA algorithm mainly consists of SHA functions which are a group of hashing algorithms used for hashing the input of variable size. The AES encryption technique makes the uploaded forensic data to be encrypted and the data storage very secure. This project comes out as the best application that the defence department can use. The nature of the blockchain being decentralized, establishes privacy and tamper-proof. It also easily detects any wrong happenings or modifications and alerts the concerned authority. The forensic investigation framework establishes authenticity, security, traceability, privacy, immutability and becomes a trustworthy system for the defence department.
Stranger Screens: Exploring the Application Themes for Interactive Freeform Devices

Advanced technologies are increasingly enabling the creation of freeform devices: interactive devices with non-rectangular form-factors. We explore the applications they inspire and how users may interact with such freeform devices. In a week-long design workshop, we invited non-specialist designers to invent freeform devices and reflect on their myriad form factors and the applications they engender. We clustered their concepts into Introspection, Community and Magic Exploration applications, allowing to understand the perspective of non-specialists on freeform devices in real life.
STUDENTS' STRATEGIES IN OVERCOMING THE DIFFICULTIES ENCOUNTERED IN SPEAKING

This research was concerned to find out strategies were used by the eighth grade students of MTsS Safinatussalamah Lhokseumawe to overcome the difficulties in English speaking, and to know the reason they chose those strategies. The design applied in this research was descriptive qualitative research. Meanwhile, the techniques of data collection were observation, field note, and interview. The researcher analyzed the data by Miles and Huberman model, namely data reduction, data display, and conclusion. The result of the research showed that there were various learning strategies used by the students. There were meta-cognitive strategies, cognitive strategies, and social-affective strategies. They chose those strategies based on some reasons, such as because they wanted to check their language to be a good language in speaking, they felt easier to get the ideas in speaking, and they knew their ability in speaking. So, the strategies were very important to help students in learning process especially in learning English speaking. A good strategy also helped the students to learn fun and creative, so that the students would feel interested in learning and they could practice their speaking.
Beyond Meaning: Employing an Artefact Approach to Study Figurines as Functional Items. A Case Study from Çatalhöyük (Turkey)

Even though figurines are a ubiquitous find on many Neolithic sites, some aspects of figurines are still poorly understood. Figurines have been studied as symbolic messages to be decoded, as art, and as ritual/cult objects. The main drawback of these interpretative frameworks is that they fail to analyse figurines as artefacts. Instead, figurines are treated primarily, or even exclusively, as images or texts. In this paper it will be argued that in order to understand figurines we need to engage with their materiality in order to understand how figurines worked in their social setting. Within the framework of craft theory a sensory approach will be applied to the chaîne opératoire, and formulate perceptive categories, or those aspects of the material(s) that are recognisable and (possibly) relevant to craftspeople and elements that reflect choices made during the production process. This chaîne opératoire is embedded within a larger aim of creating object biographies for figurines where production, use and deposition are analysed holistically.&amp;nbsp;
Electronic Resources Acquisition Policies: Implementation in Some Selected University Libraries in Delta and Edo States, Nigeria

The study is concerned with electronic resources acquisition policies: Implementation in some selected university libraries in Delta and Edo States Nigeria. Descriptive research was used for the study. Population of the study consists of all professional librarians in the libraries under study. Data was collected through structured questionnaire. Data analysis was done using frequency counts and percentages. Data collected were tabulated and analyzed using frequency distribution tables and simple percentage. The study was guided with four research questions. The findings of the study revealed that, acquisition policies were highly implemented in the university libraries; and librarians derived great satisfaction from it because it makes their job easy during acquisition. Copyright and lack of ICT skills by librarians are the major problems encountered in acquisition policies implementation. There is therefore, the need to constantly develop acquisition policies and provide up-to-date selection and acquisition that will assist librarians in the acquisition of e-resources.