Reviewerly/exHarmony huggingface dataset:
Precipitation Change in Kastamonu Between 1971 and 2022

Although the Earth's climate has undergone many changes throughout geological periods, the effects of the changes that have occurred since the Industrial Revolution have been more noticeable. Recently, the amount of greenhouse gases, such as carbon dioxide, methane, chlorofluorocarbons, and nitrogen oxides, in the atmosphere has increased in parallel with the rising consumption of fossil fuels, such as coal, oil, and natural gas. Changes in precipitation, one of the main elements of the Earth's climate, play a crucial role in determining global climate variations and have contributed to the rapid climate change caused by the deteriorating ecological balance. Precipitation is a meteorological parameter that exhibits significant temporal and spatial variations. To determine the regional climate character, it is essential to consider changes in this parameter. Turkey is a country that is highly susceptible to short or long-term climate changes. Therefore, recent studies on climate change have focused on analyzing changes in precipitation. This study aims to determine temporal changes in precipitation, a meteorological parameter, on a regional scale. The study examines monthly average maximum precipitation, monthly average total precipitation, and annual total precipitation values measured between 1971-2022 at the central meteorological station of Kastamonu province over a 50-year period. The analysis of precipitation data was conducted in two distinct periods: 1971-1996 (25 years) and 1997-2022 (25 years). The maximum rainfall recorded between 1997-2022 was relatively higher than that recorded between 1971-1996. However, it was found that the annual average total precipitation in Kastamonu province increased by approximately 59 mm from 1971 to 2022.
O que uma comunidade acadêmica da área de Tecnologia da Informação gostaria de saber sobre inclusão e acessibilidade?

The Instituto Metrópole Digital at Universidade Federal do Rio Grande do Norte, Brazil, offers technical, higher and postgraduate programmes in the area of Information Technology. Its large academic community has increasingly received students with disabilities and other specific needs. This work aimed to identify the informational needs on inclusion and accessibility of professors, public employees and students in this academic community. The method used was the survey, with an online questionnaire distributed from January to March 2021. There was a response from approximately 10% of the community, with 194 respondents in a universe of approximately 2.2 thousand people.Thedata quantitative analysis revealed that the informational needs of the three profiles of participants show a similar general trend, valuing support within the university more than outside it. However, variations were observed in the importance attributedto information in different profiles, and between students with and without specific needs. Information systems that meet these informational needs must accommodate these differences, prioritizing information appropriately for each person.
A LONG-TERM FORECASTING TECHNIQUE BASED ON A MULTI-TREND FORECAST

The article proposes an innovative approach to longterm forecasting based on a multitrend forecast. The approach is based on the decomposition of a time series into separate components – trends, which allows the model to take into account such important components of dynamics as the general upward/downward trend (logarithmic or linear trend), cyclicity (sinusoidal trend). The initial data for the analysis is a time series, for example, the prices of the company's shares. Before applying the developed forecast model, the data is preanalyzed in order to identify the stationary sites. Further, the trend components are consistently highlighted. First, the parameters of the logarithmic function are selected. Then the found dependence is subtracted from the series and a similar procedure is applied to the residuals to determine the coefficients of the linear trend. After that, sinusoidal trends of various periods describing cyclic fluctuations are sequentially subtracted from the series. The stopping criterion is the achievement of a white noise state time series when there are no trends in the series anymore. Then all the resulting component trends are summarized to build a final forecast for the future period. The algorithm described above was implemented in the MS Excel spreadsheet environment.
Efektivitas Pelatihan Mendeley secara Daring di Era Pandemi Covid-19 bagi Mahasiswa Universitas Muhammadiyah Yogyakarta

At the end of 2019 the COVID-19 pandemic hit the world, including Indonesia. Therefore, universities must adapt to the form of online lectures, including Mendeley’s online training services at the UMY library. During the training, the librarian discussed various things about Mendeley through Zoom. The purpose of this research is to find out how effective Mendeley’s online training is for students. This study uses mixed research (mix methods) using the explanatory sequential design model. The results of the questionnaire showed that as many as 54.5% of students considered Mendeley’s online training to be ineffective due to unstable network factors. However, the results of questionnaires and interviews show an increase in the ability to use Mendeley after attending online training. Based on the results of the study, it can be concluded that online learning is an alternative choice during the current pandemic in order to reduce the spread of the COVID-19 virus in the lecture environment. This also applies to the information literacy service provided by the UMY Library, namely the online Mendeley training.
Kebijakan Pengembangan Koleksi UPT. Perpustakaan Universitas Islam Negeri Sultan Syarif Kasim Riau

Collection development policy is a basic concept and principle in the form of outlines as a guide and direction for planning in the development of library collections. This study aims to find out how the collection development policy and collection development mechanism at UPT Library Sultan Syarif Kasim Riau. This study used a qualitative descriptive approach, data were collected using interview, observation and documentation techniques. Interviews were conducted with the head of the library and librarians at the library of UIN Sultan Syarif Kasim Riau. The next stage is the data from observations, interviews, and documentation processed and analyzed using qualitative descriptive techniques. Based on the data from the research and discussion, it is known that the UPT Library of UIN Sultan Syarif Kasim Riau does not yet have a written collection development policy approved by the university leadership. Collection development policies and mechanisms are implemented based on the experience and understanding of the head of the library and librarian regarding the theoretical concepts of collection development policy. Policies like this have an impact on the unfulfilled needs of library collections, both in terms of number, recency and relevance.
Tecnologia e Organização da Informação VII TOI 2021 - Transformação Digital Contribuições da Ciência da Informação

The TOI -7th International Conference on Technology and Information Organization is an initiative of the Observatory of the Labor Market in Information and Documentation research group (OMTID -CNPq) of the School of Communications and Arts of the University of Sao Paulo. In academic and scientific collaboration with CITCEM -Center for Transdisciplinary Research Culture, Space and Memory, based at the Faculty of Arts of the University of Porto, and LTi -Laboratory of Intellectual Technologies of the Federal University of Paraiba. The TOI -7th International Conference on Information Technology and Organization is focused on bringing together researchers, students, and professionals in the field of Information Science: Librarianship, Archival Science and Museology, and related, with the goal of promoting reflection and dialogue about relevant topics for the information society and sharing knowledge about the most innovative practices in this area. The program of this event covers the following fields of knowledge: Information Management, Technology and Information Systems, Digital Libraries, Information and Knowledge Organization, Collection Conservation and Preservation, Digital Curation; Information Ethics, Digital Humanities, Information Retrieval on the Data Web, Data Science, Internet of Things, Artificial Intelligence, Computational Culture, Information Professional Job Market and Data Engineering. The event is completely free and broadcast online through YouTube channel, areas such as interface design, education and business.
Decision Tree Menggunakan Algoritma C4.5 Untuk Analisa Kelayakan Pemberian Kredit

Data mining is a new technology that has been successfully applied in many fields. Many problems are solved by data mining algorithms as a supporter. Classification is one of the methods contained in data mining and not a few researchers who use the classification methods in solving problems. Credit analysis will be done with the digging data against existing data customer credits based on atribute with data mining algorithm. The algorithm C4.5 is itself a group of decision tree algorithm. This algorithm has input in the form of training and samples. Data mining technique used to classify loans with algorithm C4.5. Analysis and processing of data use applied tools of RapidMiner.
Reading Easy Language texts written by public authorities

Previous research has shown that word length, frequency and word repetition influence word reading times (Rayner 1998; 2009). Guidelines for Easy Language advise writers to use frequent and short words, and to repeat words instead of using synonyms. However, some of these guidelines are based on research that has been misinterpreted, simplified, or is outdated (Wengelin 2015), and studies focusing on effects of word length, frequency and word repetition among adult readers in the Easy Swedish target group are lacking. This eye-tracking study investigated the reading of Easy Language texts written by public authorities, as well as the effects of word length, frequency, and word repetition on readers in a day centre for people with intellectual disabilities. The results showed significant effects for word length and frequency in all readers. In addition, the effects were significantly greater in the target group than in the control group. The effects for word repetition were not as clear, affecting only one of the reading measures. Furthermore, the study revealed poor comprehension rates in the target group, i.e., when asked, they were not able to reproduce the main contents of the texts. The significantly greater effects of word length and frequency suggest that the related Easy Language guidelines are valid for this group of readers. The poor comprehension rates indicate that the texts were too difficult for these readers.
APLIKASI PEMASARAN PERUMAHAN PT. GRIYA ABEE MAKMUR RAGAJAYA CITAYAM KABUPATEN BOGOR MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) BERBASIS WEB

Housing marketing or commonly known as property marketing is an activity to promote land or a building that will be traded according to the target market to the public. In Indonesia, currently the development of property developer agencies is experiencing rapid progress. Therefore, business competition in the marketing world is becoming more stringent, which forces all companies to improve their quality in order to keep up with the competition. Companies must pay more attention in terms of marketing and service quality which are very important for consumers so that when using the services provided by the company it will be in accordance with their individual needs which can fulfill consumer desires. The author conducts research that aims to design marketing and service applications for ordering houses according to what is needed in order to fulfill customer desires at PT. Griya Abee Makmur Ragajaya Citayam Bogor Regency to replace housing promotion with manual methods such as distributing flyers. Therefore the author created a housing marketing application using the web-based Rapid Application Development method to help PT. Griya Abee Makmur when disseminating information about the houses being bought and sold.
PENGELOLAAN DAN MONITORING DATABASED PELANGGAN DENGAN LITERASI FITUR MS. EXCEL PADA UMKM KRIPIK TEMPE SANAN RIZKY BAROKAH DI KOTA MALANG

In this modern era, doing business requires a marketing strategy to market a product. One good marketing method is to utilize a customer database. A database is a collection of data or information stored systematically. Meanwhile, the customer database is data that contains customer personal information, such as name, email, telephone number, age, gender, product search history, transaction history and other demographic and psychographic data. This database can be used to build and maintain a business, as well as establishing good relationships with customers. As Micro, Small and Medium Enterprises (MSMEs), the hope is that they can keep up with developments by becoming familiar with data. When you are data literate, it will make it easier for MSMEs to develop their business in this digital era. The customer database will help MSMEs reach more consumers. Utilizing data coupled with knowledge in processing customer databases is one of the keys to successfully managing a business. As an MSME actor, you must also be able to use data optimally. The Sanan tempeh chips center, as one of the areas in Malang City, is the center of a home industry that produces tempeh chips that are still surviving in this global era. The aim of this research is to help MSMEs to manage customer databases, business actors know and of course create the best business strategies
Perancangan Aplikasi Data Mining Menggunakan Association Rule Dengan Metode Algoritma Apriori Untuk Analisis Market Basket (Studi Kasus Pada Tesco Swalayan)

The data contained ranging from business transactions to government is very large in size so we need a system that can sort and select the data. Intense competition in the business world, especially in the food industry or supermarkets, requires developers to find strategies that can increase sales. Data mining is used to find patterns and regularities in data sets that are hidden by using technology. In knowing the products purchased by consumers, developers can use market basket analysis, namely an analysis of consumer buying habits and then detect products that consumers often buy simultaneously using association rules. Search for associations or relationships between items taken from a relational database using an a priori algorithm to form candidate item combinations and then tested whether the combination meets the minimum support and confidence parameters which are the threshold values ​​given by the user. Furthermore, it is applied by performing query processing, decision making and so on. Data mining applications with the association rule method have been able to perform calculations correctly as expected. The knowledge generated by the application and manual calculations is 17.2% of all transactions, granulated sugar and pomegranate cooking oil are purchased simultaneously. And of all transactions that buy granulated sugar, 55.5% will buy Pomegranate Cooking Oil. 17.2% of all transactions, Pomegranate Cooking Oil and Granulated Sugar are purchased simultaneously. And of all transactions that buy Pomegranate Cooking Oil, 55.5% will buy granulated sugar.
IMPLEMENTASI SISTEM PAKAR CERTAINTY FACTOR UNTUK ANALISA PENYAKIT SINUSITIS

Humans can suffer from a variety of sinusitis types, which can be uncomfortable when engaging in activities. Insufficient understanding of sinusitis illness casts doubt on the diagnosis of sinusitis type. An inflammatory condition called sinusitis affects the mucous membrane of the sinuses, an air-filled chamber in the head that surrounds the nose. It is referred to as maxillary sinusitis if it affects the cheekbones. Ethmoid sinusitis is the name for the one that is situated near the corner of the eye, behind the nose bridge. Frontal sinusitis is the term used to describe the one on the forehead. Spheniodalis sinusitis is the name for the one behind the ethmoid sinus. This paper explains how the Certainty Factor technique is used by the expert system to diagnose sinusitis. The Certainty Factor approach is used to determine who first detected the illness sinusitis by obtaining data based on the effect from observations. PHP is the programming language used to create this Expert System application, and MySQL is the web-based database. In summary, this method is simple to use and build, and it might be helpful for anyone who are interested in learning more about sinusitis.
Implementation of Hierarchical Finite State Machine for Controlling 2D Character Animation in Action Video Game

This research applies Hierarchical Finite State Machine (HFSM) to the 2-dimensional player character animation control by creating states based on the player’s movement design and then grouped based on the same behavior. The animation control is integrated with the animation controller interface from Unity, then processed based on input from the player in each state. The application of the HFSM method is tested using a black-box approach with the Test Flow Diagram (TFD) method and Frame Rate) testing. The animation control on the player character runs as expected, TFD produces a test flow that is taken based on the possibility of player input to be processed by HFSM during the game. The test flow is tested for validity based on the player’s input with the corresponding state expectation. Frame Rate testing was conducted to measure the performance of HFSM by comparing it with FSM. The average result of HFSM Frame Rate is 151.1 FPS, this value is superior compared to FSM which is 131.1 FPS. The performance increase from using HFSM is 15.24% higher than FSM performance.
Sitasi Koleksi Naskah Kuno Pada Skripsi Mahasiswa Prodi Sastra Melayu Tahun2016-2019 Fakultas Ilmu Budaya Universitas Lancang Kuning Pekanbaru

The aim of this research is to determine the frequency of cited manuscript authors, the types of cited manuscripts, the languages of cited manuscripts, and the most frequently cited publication years. This study focuses on the theses of Malay Literature students from the Faculty of Cultural Sciences, Universitas Lancang Kuning, from 2016 to 2019. The method used in this research is qualitative descriptive. Data collection is conducted through observation and documentation. The data is collected from the bibliography of the theses of Malay Literature students from the Faculty of Cultural Sciences, Universitas Lancang Kuning, from 2016 to 2019, totaling 196 theses. The results of this research indicate that among the theses, 51 of them used ancient manuscripts from 2016 to 2019, with a total of 222 citations. Among the 222 citations, the most frequently cited type of manuscript is religious manuscripts, accounting for 27 citations (54%). The most frequently cited language of the manuscripts is Aksara language, with 55.92%, totaling 184 citations. The most frequently cited author is Syeh Abu, with 23 citations, accounting for 30.66% of the total. Additionally, 120 citations, or 38.33% of the total, indicate the most frequently cited publication years ranging from 1965 to 2015.
EFFECTIVENESS OF THE E-LEARNING SYSTEM AT NAJRAN UNIVERSITY FROM STUDENTS’ POINT OF VIEW

This study aimed to determine the effectiveness of the e-learning system at Najran University from the perspective of students. It was conducted using a descriptive method. To gather data, a questionnaire consisting of 36 items was designed on the basis of a five-point Likert scale. Additionally, a simple random sampling technique was employed, and 1768 students, representing 9.14% of the study population (19,350), were surveyed. The findings of the study revealed that the e-learning system at Najran University was highly effective. The questionnaire axes were ranked in order of highest to lowest student approval as follows: electronic courses, electronic testing systems, and faculty performance evaluations. No statistically significant differences were found in the effectiveness of the e-learning system based on the college variable (scientific vs. humanities), except for the axis evaluating faculty teaching performance, which favored the humanities college. Furthermore, the gender variable did not result in statistically significant differences in the effectiveness of the e-learning system at Najran University. Keywords: E-Course, Teaching Performance, Learning, Education DOI： https://doi.org/10.35741/issn.0258-2724.58.6.30
Možnosti využití konstruktivní simulace pro plánování nouzového zásobování vodou

The paper focuses on the issue of information support of emergency drinking water supply planning. Implementation of simulation into the process modeling for process verification in the field of Crisis Management provides us with an opportunity to make the preparation of a Crisis Management Plan more effective. The article presents the role of simulation in Crisis Management, the possibility of using simulations within the Crisis Management Cycle, and particularly the use of constructive simulation in the process verification of the emergency water supply. During the simulation, deficiencies in the planning processes have been identified, and possibilities of simulation tools aimed at the planning process of crisis management in the emergency water supply field have been discussed.
Graduate Librarian at a Small University: What I’ve Learned So Far

Learning to be a graduate librarian is an ongoing process. Read about one librarian’s journey from early to mid-career graduate librarian. Lessons learned include understanding technology challenges faced by graduate students, what embedded librarianship looks like at the graduate level, and even when to break patron privacy.
Key Challenges and Recommendations in Managing Hybrid Work Collaboration for Agile Teams: A PRISMA Systematic Literature Review

Agile methodology became popular and widely adopted. The agility of its practices allows the organization to have a proper strategy for facing the dynamic environment. Some organizations succeed, but several others are struggling with unexpected failure. One of the critical success factors in agile development is team collaboration. The COVID-19 pandemic happened in 2020, forcing organizations to work from home. After the pandemic, organizations realized the potential benefits of the “work-from-home” policy. Several organizations implement hybrid work in their software development processes. However, this approach encounters another problem related to managing the collaboration of team members with dispersed locations. This study aims to identify key challenges and recommendations for managing hybrid work collaboration for Agile teams. This study used a systematic literature review procedure and the protocol known as Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Various problems were analyzed and classified into four categories. Those categories are people, processes, organizations, and technology. Some recommendations are provided in this study to overcome all identified challenges in hybrid work collaboration for Agile teams.