Reviewerly/exHarmony huggingface dataset:
Ranking of Innovation Related Factors Influencing Artificial Intelligence Performance

This paper presents a study on ranking of 27 identified innovation related factors which influencing Artificial Intelligence (AI) performance in UAE. These factors were clustered into four groups namely process innovation; management capabilities; personal expertise and organization structure. A questionnaire was designed based on these factors where respondents were required to gauge the influence of these factors using Likert scale. Respondents were from three UAE organisations which are Dubai Police, Dubai Electricity &amp; Water Authority Dewa, and Emirates Integrated Telecommunications Company. A total of 384 valid responses from the questionnaire survey were analysed for its reliability using Cronbach alpha criterion. Then the data was analysed for its mean score and standard deviation values for each of the factors to determine the rank of each factor and also its influence on the organisation performance. The study foundthat the mean scores for the factors are in the range from 2.90 to 3.56 while for the average mean score for the groups are from 3.15 to 3.44. the study also found that two factors which are management capabilities and artificial intelligence are highly influencing the organisational performance while the other three factors which process innovation, personal expertise and organisational structure are moderately influencing the UAE organisational performance. The findings of this study will ably provide a better understanding of innovation related factors and how it affects overall performance.
Study on the Satisfaction Level of Heritage and Cultural Tourism Information Available in Media

Sharing information and provide access to all societies can promote heritage and cultural tourism. Especially, using media and social networks, and the proliferation of smart devices. Through new media such as online sites and publications, visitors and tourists to heritage promotions are better able to obtain adequate information about the heritage sites. Furthermore, marketers can better collect critical information from customers online and solicit feedback on cultural experiences. Hence, this paper presents a study on determine the level of satisfaction amongst residents ofUAE on the heritage and cultural tourism information that had made available through various media. The study was conducted quantitatively, with data collected via questionnaire surveys. A total of 501 completed questionnaires were obtained and analysed statistically. It was found that five most influential questions on the satisfaction level of respondents on the heritage and cultural tourism information available in media are as followed. The top rank is for question 11 which is I would recommend to attend culture events in UAE for all people I know on my social media accounts. Then follows second rank that is question 7 which is Young Emirati people always share in culture events and share on thier social media accounts. The third rank is for question 8 wich is We are always satisfied with information about events in UAE related to heritage and culture events. The fouth rank is question 9 which is Heritage and culture events have the top priority in society and attract all Emirati people. And the fifth rank is question 6 wich is Government authorities plan for effective events that promote culture and heritage tourism. It can be concluded that majority of respondents were pleased with the information provided and expressed a willingness to recommend online sources to their friends. A sizable proportion of those polled emphasised the importance of better information in promoting heritage and cultural tourism in the UAE.
PENDAMPINGAN PENYUSUNAN LAPORAN KEUANGAN MENGGUNAKAN SISTEM INFORMASI AKUNTANSI PADA PUSKESMAS BLUD

Abstract In the current development of technology and information systems, it has a significant influence on the operational activities of an organization or company. Government agencies also use accounting information systems, one of which is in the preparation of financial reports carried out by the Regional Public Service Agency Health Center. The existence of an accounting information system makes the preparation of financial reports at the Puskesmas more organized and sustainable. The application of an accounting information system at the Puskesmas is certainly not easy, it is necessary to provide assistance in its use. This assistance is intended so that the process of preparing or inputting financial statements in the system does not occur errors and is in accordance with Government Accounting Standards. The method used in this service is to provide training and assistance to the Treasurer of the Regional Public Service Agency's Public Health Center. This training can make it easier for the Public Health Center Treasurer to input financial reports into the Public Health Center's accounting information system in accordance with Government Accounting Standards Number 13 concerning Public Service Agencies. In its implementation, mentoring activities to the Puskesmas are carried out online using a zoom meeting.&#x0D;
Web Based Information System Design in Elementary Schools

This article aims to design and implement a Web-Based Information System in Elementary Schools. The method used in this research is to use the system development method with the Waterfall model. The type of data in this study is to use qualitative data. Web-Based Information System in Elementary School is designed using the UML (Unified Modeling Language) development method which consists of Use Case Diagrams, Activity Diagrams, Sequence Diagrams and Class Diagrams. Database design using MySQL and system interface. The software used in the design and implementation of the system uses XAMPP as a web server, PHP and MySQL as a database. Web-Based Information System in elementary schools includes, login page, home page, profile page, student page, gallery, agenda page, student registration page, contact page, manage profile page, student manage page, gallery manage page, manage agenda page, page registration
Coaching untuk Guru Membuat Modul Ajar dan Melaksanakan Pembelajaran Proyek untuk Meningkatkan Keterampilan Abad Ke-21 dan Keterampilan Literasi Murid

21st century skills are important for students to develop self-efficacy through problem-solving, critical thinking, collaboration, communication and creativity. A high level of 21st century skill self-efficacy is literacy. An empirical observation related to found literacy is the low literacy of teachers at a private madrasah in Bogor, West Java. For this reason, teachers are coached to create lesson her modules and conduct project learning to improve 21st century skills and student literacy. Direct instruction is a teaching strategy in which a coach (instructor) presents new knowledge or skills that can be followed by a coachee (teacher). This coaching influences the reading comprehension of teachers so that teachers acquire the skills to design, implement and assess reading comprehension in four primary reading comprehension subjects namely Science, Social Studies, Indonesian and PKN. can do. Because teachers teach reading and writing skills to students in the context of the lesson.
“Aprendo en casa”: Una estrategia emergente para potenciar el derecho a la educación durante épocas de pandemia

This article addresses the educational strategy “I learn at home” developed and implemented in Costa Rica in 2020 as a response from the Ministry of Public Education to supply educational work during the crisis period in the face of the global pandemic caused by the Covid-19 virus. The purpose of the article is to present this emerging strategy as it ensures the inalienable right to education. As part of the study and using the Google Forms platform, an online questionnaire was administered to 141 Basic General Education teachers from the seven provinces of the country, with the aim of knowing the teachers’ opinion on the application and the implications of the strategy “I learn at home”. The article presents the results from the analysis of the investigation carried out, some conclusions derived from the discussion of results and finally some reflections on these results. It is concluded that the Costa Rican teaching body although confronted with many challenges has managed to face the demands of the implementation of the educational strategy at times of the pandemic crisis in order to give continuity to the right to education in the country.
A Workers’ Inquiry into Canvas and Zoom: Disrupting the Algorithmic University

Learning management systems (LMS) and teleconferencing technologies moved to the centre of teaching in Higher Education (HE) during the pandemic. Already on a rapid growth trajectory, these technologies were introduced into HE to rationalise, deskill, control, and manage academic labour by breaking it up into discreet tasks of course design, delivery and assessment. These discreet tasks are being redistributed to administrators, contractors, and other non-faculty technicians. This rationalisation is made possible by the ubiquitous dataveillance of teaching and learning built into the architecture of the Canvas LMS and Zoom teleconferencing app. These technologies are central to the production of more self-disciplined precarious platform workers who can labour remotely under the ubiquitous surveillance and control of algorithmic management. A workers’ inquiry of the new technical composition of capital in higher education is needed to analyse and organise against these attacks on academic workers.
Methodology and software development for auditing information security management systems

Objectives . Classification of information systems (IS) security indicators and the creation of the method of improved software tool based on its results (in comparison with similar software tool developed earlier by the authors) for auditing information security management systems of organizations in the Republic of Belarus. Methods . During the development and improvement of the software tool using the method of systeminformation analysis and the approaches to its implementation were identified based on following capabilities: organization of questionnaires of heads of departments and services whose specialists work with IS designed to information processing not classified as state secrets or IS with limited dissemination; assessment of the level of compliance of the organization's IS information protection system with the requirements established by the legislation of the Republic of Belarus and other national regulatory legal acts; systematization of recommendations for improving the level of compliance of the organization's IS protection system with the established requirements. Results . Based on the results of the developed improved software tool approbation, it was found that the use of this tool makes it possible to reduce by 20–30 % the financing of costs for the implementation of the auditing the information security management systems of an organization. Conclusion . The developed improved software tool, compared to analogues, is characterized by reduced cost due to the following properties: ease of launch and configuration; independence from the type of operating system; the possibility of organizing both local and remote access. The developed improved software tool was tested in the branch "Long-Distance Communication Branch" of RUE "Beletelecom".
PEMANFAATAN FLAG SECURE UNTUK PROTEKSI BUKU DIGITAL PADA E-LIBRARY INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO

Documents in the E-library service at the Adisutjipto Institute of Aerospace Technology (ITDA) Library are available and can be accessed and read by library members via a computer connected to the E-library network. So that the existing e-library can be accessed by many people with mobile computing equipment, it is necessary to make software that can access documents in the E-library in the form of a book in the Protable Document Format (PDF) format. The purpose of this research is to make books in PDF format so that they can be accessed and read and protected from being reproduced without the permission of the ITDA library. The method used in this research is in the form of software design with object-oriented programming, by dividing the application into small parts / objects into a large application that is used to access e-libraries with mobile computing devices. The application created also uses a library in Android Studio called the secure flag. The results of the tests carried out stated that the protection of book files in the android-based e-library application was able to prevent users from taking screenshots, copying book files, and downloading files illegally, while the speed of access in opening book files in e-library-based applications android is greatly influenced by connection speed and book file size. From the results of this test, it can be concluded that books in PDF format in the E-library in the ITDA Library can be protected.
Kajian Bakat Anak Melalui Pola Tulisan Tangan dengan Algoritma Convolutional Neural Network

Another obstacle faced is that it is difficult to find a suitable child psychologist for consultation, and also related to the costs incurred which is not small. Thus, research were conducted by detecting the talents of children aged 14-15 years using CNN. With the hope that the age range of children already has the art of writing permanently. The results of this analysis show that there are six main talents and 75 talent traits. Based on the inference used to identify children's talents according to USOE America standards. This system can provide information in the form of talents and interests of children based on the characteristics they have and the right way of learning for the child. So that parents can maximize the talent possessed by the child.
Analysis of Multi-Layer Perceptron and Long Short-Term Memory on Predicting Cocoa Futures Price

Predicting the price of Cocoa Futures is needed by farmers and also the government in determining policies. The uncertainty of price movements can affect farmers’ income and also foreign exchange savings because Indonesia is the largest cocoa-producing country in the world. In this study, we use the cocoa futures dataset to train using Multi-Layer Perceptron (MLP) and Long Short-Term Memory (LSTM) to make a prediction of the cocoa futures price. In that way, this study resolves the uncertainties using the MLP method and also the LSTM, where these two methods produce a model using the input of data train and data test to predict the price of cocoa futures contracts and then be compared to see which one is the right one for the cocoa dataset. The dataset used is quoted from the Investing.com page taken from 2003 to 2021. The result of this study is the best model between MLP and LSTM model, where the LSTM can produce the best model using 50-50 Train to test data ratio, 128 batch size, and 64 Neurons on the hidden layer with evaluation metrics value in RMSE is 2.27, MAE is 32.11, and MAPE is 1.29 or 98.71% accuracy. This is because the LSTM model has logic gates in the layers that have an advantage on time series data using memory, where the LSTM model could memorize the output and use the output again as an input to achieve the best output.
Penerapan k-Means Clustering Berdasarkan Analisis RFM Terhadap Segmentasi Pembeli untuk Meningkatkan Strategi CRM

An industry requires a good strategy in running its business. Saga Bako is a small industry that sells various types of tobacco and its equipment. However, Saga Bako has not yet implemented a Customer Relationship Management (CRM) strategy in its service to buyers. It is necessary to segment customers to find out less profitable buyers and buyers who provide large profits. The use of data mining also contributes when segmenting customers through the use of purchase data. The methodology applied in this research is CRISP-DM with purchase data at Saga Bako from January to March 2022. The k-means algorithm is applied in the formation of clusters based on the Recency, Frequency, Monetary (RFM) model, with the help of Weka 3.8.5 tools. The Elbow method is used to determine the best number of clusters (k). The results obtained are from 47 buyers with 663 transaction data divided into three clusters, 26 low potential buyers, ten medium potential buyers, and 11 high potential buyers.
Telkom University Opinion Topic Modeling on Twitter Using Latent Dirichlet Allocation During Covid-19 Pandemic

In the current digital era, the development of information technology is growing rapidly. The development of information technology is followed by the development of social media, one of the social media that is on the rise is Twitter. Because there are many Twitter users around the world, Twitter stores a lot of data that can be used for something, one of which is to determine the category of public opinion about a company or university, in this study the focus is more on the category of public opinion about Telkom University. The public opinion can be grouped or categorized to make it easier to determine the topic being discussed. Determining opinions manually will take a long time due to the large number of tweets. Therefore, there must be another method to determine the categories of public opinion on Twitter. One of them is the Latent Dirichlet Allocation (LDA) method with a dataset of tweets of Indonesian-language Twitter users. With this method, grouping tweets on a large scale is more efficient. From the modeling made, the most optimum results obtained with a coherence score using the c_umass method of -15.33029 with a combination of 9 topics, 0.31 alpha value, and 0.01 beta value.
Rancangan Aplikasi Autentikasi Surat Digital dengan Metode One Time Password SHA-512 Berbasis Android

Some administrative procedures in many institutes are still carried out conventionally, which is deemed less efficient and takes much time. On the other hand, communication with other parties requires a process of exchanging information, so a system is needed to confirm the validity of the information. Therefore, a digital letter system that can prove the validity of the information gained through the digital media right from the party concerned is developing. This can be overcome using the authentication method. Adding One Time Password (OTP) as an authentication method that employs one temporary password key can be the solution. This study uses the One Time Password (OTP) method as a validation system and the SHA-512 algorithm as an OTP code generator to generate random codes. This system leverages android technology on mobile to ease access to the correspondence administration system to make it easier to visit with features that prioritize information and access speed. This application is implemented at the State Polytechnic of Sriwijaya to improve the administrative process to run more effectively. The black box testing revealed that all available menus and features were appropriate, and the application already had a system that functions according to user needs. Moreover, in the One Time Password generation test with the SHA-512 algorithm, it was determined that the average response time for generating the OTP code was 4.4 seconds in 15 trials, which can be considered fairly accurate.
Sistem Informasi Pendugaan Kekerasan Terhadap Perempuan dan Anak Menggunakan Metode Small Area Estimation

Based on data obtained from the SIMFONI-PPA Application, the Office of Women's Empowerment, Child Protection, Population Control and Family Planning (DP3AP2KB) Sambas Regency, in 2017 there were 95 cases of violence against women and children in Sambas Regency, then in 2018 there were 43 cases, followed by in 2019 as many as 49 cases, and in 2020 as many as 64 cases. This shows an increasing trend in the number of cases of violence that occur from year to year. The increasing trend is caused by the lack of access to information to make complaints, the processing of data on areas of violence that has not been integrated, so that the government does not have up-to-date data to anticipate. To support DP3AP2KB in handling and preventing violence, this research builds a system based on the estimation of violence against women and children by utilizing the Small Area Estimation Method, especially the IDW interpolation technique. This research was carried out by processing data through the ArcGIS application to determine the pattern of areas prone to violence, using interpolation techniques to predict unmeasured variables at various locations, with IDW assuming that the closer a point is to an unknown point, the greater the effect. . IDW uses the values measured at points around the location, to estimate the value of the variable at the location in question. Then the results of data processing is implemented in a web-based geographic information system. The system that has been built has been tested using the black box method and calculated using a Likert scale, obtaining a value of 86.20% which is included in the Very Good category.
Partner Sentiment Analysis for Telkom University on Twitter Social Media Using Decision Tree (CART) Algorithm

Sentiment analysis is an analysis in terms of opinion and meaning in the form of writing. Sentiment analysis is very useful for expressing opinions from any individual or group to improve branding. Branding is a process to promote and improve the name of a brand or brands to attract the attention of consumers to be interested in trying the services of a company that runs in academic terms such as Telkom University. However, this requires cooperation between other associations as partners so that the branding carried out can be effective. One form of cooperation is by providing opinions about Telkom University so that consumers are more familiar with Telkom University on Twitter social media which is the largest social media used by many people because it can provide any opinion freely. Therefore, this study aims to analyze the sentiment submitted by partners for Telkom University on Twitter which is the main factor for promoting themselves to consumers. The process carried out is to take all tweets about Telkom University submitted by partners and then carry out the TF-IDF weighting process and classified using the Decision Tree CART algorithm based on positive, negative, and neutral sentiment categories. The best results obtained by the Decision Tree model of the CART algorithm are the Accuracy value of 86.73%, Precision of 87.06%, Recall of 87.55%, and F1-Score of 86.52%.