Reviewerly/exHarmony huggingface dataset:
Digital Curation Fundamentals. By Jody L. DeRidder. [Review]

Jody DeRidder begins her book stating that “websites and digital news stories disappear daily; researchers can’t access their own data for reuse; students don’t know how to make their work last for the next ten years” (p. ix). This disturbing statement is all too real for many archival professionals and sets the tone for why this book is important. Digital Curation Fundamentals is relatively short at 153 pages, but is packed with content. DeRidder builds this text on 14 years of experience developing and supporting a digital library as well as additional resources, including BitCurator, Digital POWRR, and Stanford Libraries’ ePADD Project. DeRidder clearly states in the preface that this book is for the average librarian or archivist, and I would wholeheartedly agree with this statement. The author includes “fundamentals” in the title, but more appropriately should have included the term “foundational” as well. Seasoned digital curators may not find much they do not already know or that may have been covered in other, denser texts, but the size of this book should not deter any professional looking for a quick guide.
Implementasi Business Intelligence System pada Restock Gudang Farmasi PT. Pentavalent Menggunakan Algoritma Naïve Bayes

AbstractThe work in handling drug requests is carried out routinely and repeatedly. Business Intelligence (BI) is able to help the healthcare industry improve service quality, reduce costs, and manage risk. To maximize performance and effectiveness in the medical and health fields, one of them is that the data must be managed properly into information. The medical process which is a health service practice, although this is not the only activity in the pharmacy warehouse, but in the end this activity is more likely to have an indirect impact on medical and business activities. Business Intelligence (BI) will be used for processing, analyzing and distributing data at PT Pentavalent's pharmaceutical warehouse activities, especially the drug request process. In this study, we will try to analyze drug demand transaction data at PT Pentavalent using the Naive Bayes Algorithm and RapidMiner tools which later the results of the data analysis will be used as a decision supporter for PT Pentavalent in providing medicines according to the pharmacy's request. The Naive Bayes Algorithm method is able to provide good results and can be used for data processing grouping and prediction of the need for more precise and accurate amounts and types of drugs, as a reference for decision support in providing and distributing medicines according to pharmacy requests. The accuracy value is based on the level of closeness between the predicted value and the actual value of 15.62%.Keywords— PT Pentavalent, Business Intelegent, OLAP,  Algoritma NaiveBayes
PENGGUNAAN MEDIA POCER “POHON CERITA” UNTUK MENINGKATKAN HASIL BELAJAR MENULIS TEKS CERPEN: SMP NEGERI 2 PAKEM BONDOWOSO

This research was conducted with the aim of improving the learning outcomes of short story writing. The research was conducted in the form of Classroom Action Research. The respondents of this study were 26 students of class IXA SMP Negeri 2 Pakem. The success indicator is that 85% of students complete the KKM score of 72. The data is obtained through tests as the main data, as well as observation and distributing questionnaires at the end of the cycle as supporting data. The results of the study before the application of smart media, students' learning completeness only reached 46% and after the application of smart media it showed a significant increase of 88%. Based on the results of the study, it can be found that the use of PoCer media is able to improve student learning outcomes in writing short story texts.
THE USE OF HOT POTATOES IN TEACHING DESCRIPTIVE TEXTS TO EFL SECONDARY SCHOOL STUDENTS

Abstract: The present study explored the effectiveness of teaching descriptive texts through Hot Potatoes to English as a foreign language (EFL) secondary school students and their perception of learning using this media. 31 junior high school students in Year VII participated in the study. A quasi-experimental with pretest -posttest design and a qualitative descriptive design were used in this inquiry. The results indicated that the use of Hot Potatoes to teach descriptive text to secondary school students was effective, pretest (M=74.74, SD=10.23) posttest (M=89.55, SD=5.96) t(30)=-10.97, p=.000 and that it was perceived to be useful and interesting teaching media by the students. These suggest that Hot Potatoes has potential benefits when incorporated into teaching of reading where the teachers can take it into account to be employed in their reading class.
The Routledge Handbook of Spanish Phonology

"The Routledge Handbook of Spanish Phonology." Journal of Spanish Language Teaching, 8(2), pp. 197–198
Analisis Quality Of Service pada Jaringan Internet di Universitas Sariputra Indonesia Tomohon

Technology has developed very rapidly in recent years, including the internet. Internet is not only used in big cities but also to remote villages. The internet is also important in schools and colleges, one of which is Universitas Sariputra Indonesia Tomohon. The availability of good internet service then becomes an important issue. To find out the quality of existing internet network services, testing can be done with an analysis of the Quality of Service. Measurement of Quality of Service can be performed by QoS parameters, namely bandwidth, delay, packet loss, and throughput. This research was conducted using the action research method which aims to determine the quality of network services at Universitas Sariputra Indonesia Tomohon.
Information Architecture Proposal for a Science, Technology and Environment Web Page in Villa Clara, Cuba

Introduction: The Information Architecture aims to make more visible and organized all contents on the web in order to facilitate access to information.Objective: to propose an information architecture for the web page of the Territorial Delegation of the Ministry of Science, Technology and Environment in Villa Clara, Cuba.Materials and methods: the research was developed with a mixed approach and was classified as descriptive.Historical-logical, analytic-synthetic and systemic-structural methods were used as theoretical level methods, and documentary analysis and survey were used as empirical level methods.Questionnaires, interviews and Card sorting techniques were used for the triangulation of the results.The methodology of Pérez-Montoro 2010 was adopted, applying three phases proposed by this author: analysis, design and implementation.Results: factors that made it necessary to propose a new web page were identified, as well as the objectives it pursues.The web page was designed based on the user study carried out, taking into consideration the criteria of those surveyed.The information architecture guidelines and their evaluation contributed to organize the contents to be included in the web.Conclusions: with the use of Information Architecture techniques and tools, relevant data were obtained for the design and improvement of the web page contents, which contributed to increase the visibility of science, technology, innovation and environment results of Villa Clara territory in Cuba.
SISTEM PAKAR DIAGNOSA KERUSAKAN MOTOR KAWASAKI KLX150 MENGGUNAKAN METODE CASE-BASED REASONING DENGAN ALGORITMA 3W-JACCARD

Banjar language used in conversation and daily life around the area. So foreigners who come to the regions of South Kalimantan will have difficulty in communicating. Besides, most local residents in the backwoods of South Kalimantan can not use Indonesian language properly, they would be more convenient to use regional language to interact. For that reason we need an Android application can help users to find the translation of a word or phrase whenever and wherever. With the help of Google Voice Search, this application can also listen to the voice of the user to be converted into text and insert into the input translation. Speech recognition of Banjar language required a literacy training data by using the method of statistical inference to make results appropriated. Testing using method of Black Box Testing to measure the percentage of suitability of the results of translation, speech recognition for Indonesian language and speech recognition Banjar language using method of Statistical inference. So the results of translation accuracy 100% and accuracy of speech recognition Indonesian language and Banjar language by 97.85% and 82.74%.
Kerangka Kerja Kesiapan Menghadapi Bencana

Bekasi city is became one of flood prone areas. Flood is causing harm and disrupt of communityactivities. Bekasi government has sought to prevent flooding, but floods still occur in that area.This study aimed to analyze the implementation of disaster preparedness of the Bekasi CityGovernment in handling flood. The study used a descriptive qualitative method by conductinginterviews with related stakeholders, document review and field observations. The results showedthat Bekasi government as a leading sector in disaster management has some mitigation activities,like creating some polders and dikes, but these activities have not been effectively prevent andreduce flooding. Bekasi government also has met most of the elements of disaster preparednessby providing some facilities and infrastructure, “posko PBA”, coordination & information systems,and response mechanisms. Suggestions for Bekasi City Government (1) uphold the rule of landuse, (2) to propose changes to the operational weir bekasi as regulators flood (3) Increasing thenormalization of rivers and drainage, (4) Increase the capacity of BPBD’s staff, (5) Preparationrisk map, (6) Completion of the Contingency Plan (Rekon), (7) Dissemination of SOP DisasterManagement, (8) Conduct training and rehearsals.
From visual journalism to informative experiences: our research on socio design artefacts in the information field

This paper introduces the design-research work in the field of information design developed by the author, as a member of the Trans-form research cluster at the Free University of Bozen-Bolzano. The Trans-form group focuses on the interdisciplinary research studies and practices that combine design and the social sciences to promote the concept of sustainability across diverse fields, such as economics, politics, and finally information, with the goal of achieving an inclusive and aware society. Specifically, the way information is produced, consumed, and processed today, online and offline, offers an important space to design interventions and make an impact on society: an aspect to which this paper contributes, presenting the research done by the author in collaboration with sociologists, anthropologists, and journalists over the past five years at the Trans-form cluster. The following essay introduces the theoretical framework of socio-design within which the Trans-form cluster operates, and then focuses on socio-design in the information field. It subsequently moves on to the research conducted by Trans-form on information socio- artefacts, introducing three of the most significant case studies, which challenged a broader audience with engaging informative experiences aimed at raising awareness to foster possible behavioural change. Finally, the conclusion highlights the research findings over five years and points to new possibilities to design and impact society through socio-design research.
Application of Analytical Hierarchy Process (AHP) Methods in Decision Making of Lecturer Performance Determination on the Utilization of Online Learning in Polytechnic Media Kreatif

In the development of technology, decision making is something that will be done by all humans in life. Making a decision is not an easy matter because every decision made and carried out by someone must consider a risk to be borne. Decision Support System (DSS) is a system which utilizes the use of computers in every decision-making process. The achievement of the learning objectives that have been set or have just been achieved depends on the ability of human resources (lecturers) in carrying out their duties. To be able to recognize the ability and potential of a lecturer for his work, a university must have an assessment system to support decisions in determining the performance of a lecturer. The purpose of this research is to obtain a method that has a high accuracy value with the analytical hierarchy process (AHP) method so that a high accuracy and fast method is obtained to determine the performance of lecturers in the use of online learning. The result of this research is obtained criteria to produce a solution in determining the performance of lecturers such as criteria, attendance, performance, opportunity, and integrity.
Covert queueing problem with a Markovian statistic.

Based on the covert communication framework, we consider a covert queueing problem that has a Markovian statistic. Willie jobs arrive according to a Poisson process and require service from server Bob. Bob does not have a queue for jobs to wait and hence when the server is busy, arriving Willie jobs are lost. Willie and Bob enter a contract under which Bob should only serve Willie jobs. As part of the usage statistic, for a sequence of N consecutive jobs that arrived, Bob informs Willie whether each job was served or lost (this is the Markovian statistic). Bob is assumed to be violating the contract and admitting non-Willie (Nillie) jobs according to a Poisson process. For such a setting, we identify the hypothesis testing to be performed (given the Markovian data) by Willie to detect the presence or absence of Nillie jobs. We also characterize the upper bound on arrival rate of Nillie jobs such that the error in the hypothesis testing of Willie is arbitrarily large, ensuring covertness in admitting Nillie jobs.
IMPLEMENTASI EDUKASI BERBASIS PENGEMBANGAN EKONOMI MANDIRI JAMUR MERANG MELINTANG

The Islamic boarding school, originally a religious and educational institution, expanded its function as a forum for training, development, and research. The commitment to continue to grow and benefit the environment is a basic principle that the Lintang Songo Islamic Boarding School continues to hold. Economic independence is one thing that is encouraged by the Lintang Songo Islamic Boarding School. One of the potentials in the context of economic independence that is being developed by Lintang Songo is mushroom cultivation. Mushrooms are currently quite in demand by the public along with changes in healthy lifestyles. The problems faced by Islamic boarding schools in managing the mushrooms produced are first, the market affordability is still limited to neighbors, the durability of the mushrooms is not durable, the marketing limitations of mushrooms and the mushrooms produced by Lintang Songo do not have packaging and brands. This service aims to provide education for the manufacture of derivative products that have more added value and increase the economic independence of students and the community around the Islamic boarding school. The result of this service is the creation of a trademark for processed mushrooms, packaging for products, and socialization of processed edible mushrooms.
Ανάπτυξη προσαρμοστικών μεθόδων για online εκπαίδευση νευρωνικών δικτύων τύπου radial basis function

Learning on non-stationary environments is laden with many challenges, as the procedure is usually characterized by drifts and data unavailability; on the other hand, it is of great importance with regard to data stream modeling, where an effective and up-to date model is required as the data stream evolves. This work presents a new method for producing highly accurate models for learning on such environments. The method is based on artificial neural networks (ANNs) and more specifically on the efficient architecture of radial basis function (RBF) networks. A novel RBF online training scheme for real time adaption of both the network structure and parameter values is proposed based on the fuzzy means (FM) algorithm and the Givens rotations technique. Within this integrated framework, it is guaranteed that for each update of the network structure, the optimal values for the synaptic weights are calculated efficiently by maintaining low order matrix updates. The proposed approach is evaluated on 9 real-word and artificial benchmark data streams and is compared to other well-known methodologies from the literature. The results show that the FM-Givens algorithm produces models with highly competitive online accuracy for non-stationary environments in the presence of drifts, while maintaining low model-updating times.
A Journey of Triple-Entry Accounting

The double-entry accounting principles have used for more than 600 years, with the emergence of the blockchain technology another concept is revived that is triple-entry accounting. This paper conducts an exploratory study on the development of triple-entry accounting concept from its early form to its present incarnation with blockchain technology. We found that there are two different schools of thought for this concept: (i) Yuji Ijiri Momentum Accounting, and (ii) William McCarthy REA ontology. We found that most of the work on triple-entry accounting is going on these days; they have followed the McCarthy REA ontology school of thought. Blockchain Technology based triple-entry accounting will fundamentally improve accounting when properly implemented.
Research on Public Sentiment of Weibo Topics Based on Emotional Tendency-Taking “LaBiXiaoQiu Was Detained” as an Example

With the booming development of social media, many people use social software to share their life experiences and express their opinions, viewpoints and experiences on social hot spots, thus forming a huge amount of information. This paper takes microblog topic comments as the research object and makes visual analysis of microblog comments from the perspective of emotional orientation, which is of great research significance for relevant departments to timely grasp the changes in the masses' thoughts and timely control and deal with emergencies. In this study, the Bert-LSTM model was used for sentiment classification of microblog comments, and the complex and sparse data sets were visualized to convert the disordered data signals into graphic representations. Through in-depth emotional mining of public opinion comments, the importance and effectiveness of online public opinion analysis in the era of data explosion are verified.
The Growth of Modern World and Technology through the Afro American Voices

The enhancement of science and technology has indeed raised the standards of human life. Though literature and science are considered antithetical, it is through the voices of literary giants the issues that are local and global reach a wide range of audience. Chimamanda Ngozi Adichie is a well renowned Afro-American novelist, short story writer, and an author of Man booker prize. Her voice on modern advancements both as a boon and bane to the self and environment is indispensable that one cannot escape without listening to it. Hence, an earnest attempt has been made to unravel the impact of technology on modern life through Adichie’s Americanah. Americanah explores the effect of social media on the growth of technology that resulted in elevating the living standards of the Afro-Americans. Through her female character Ifemelu, the author expresses her views and also destreotypes the African realities and positive social changes through technology. Therefore, this article focuses on how technological and modern advancements have been both beneficial and detrimental to the African world.
Why are you predicting this class

Big data-driven learning models are created by training connectionist models. With the increase in computing power and memory size, these models are becoming practical solutions for predicting image classifications, driving trajectories and users' behaviors. Although these models can be shown to perform with high accuracy, this success measure is not enough to understand why the network predicts certain outputs for certain inputs. These networks behave as black boxes, able of processing very large amounts of data, without being transparent about their inner workings. This paper extends the architecture of a convolutional neural network and trains only the new connections to output an explanation for every prediction of the original classifier. The explanations are taken from a semantic language that is either computed or annotated from available data. Our work includes (1) defining and computing a language relevant to the classifier domain and semantically understandable by humans (2) computing the explanatory layer of the original network (3) training the extended architecture without changing the original given weights and (4) formatting the explanations in a user understandable manner. We applied our algorithmic solution to two existing classifiers in the automated driving domain. We showed successful results explaining predictive classifications of driving comfort and driving trajectories.
The Influence of the Discipline of Online Assignment Collection Assisted by Edlink Sevima on the Learning Outcomes

The interaction of students and lecturers is essential in learning. There is no face-to-face in class intensively the Covid-19 pandemic has an impact on student discipline in assignments. It has an impact on the low student learning outcomes. This study aims to analyze the collection of bold assignments assisted by Edlink Sevima on student learning outcomes. This research uses quantitative research. This research method is quantitative. The research sample was 42 students—data collection techniques were used in two ways: questionnaires and tests. The instrument used in collecting data is a questionnaire. Research test instruments include validity and reliability tests. Data analysis using statistical tests. The results showed that the rcount was 0.656, and in consultation with the Product Moment rtable, the significance level of 5% with N = 22 was 0.423. So it can be stated that rcount 0.656 &gt; rtable 0.423 implies that the proposed hypothesis can be accepted. The implication of this research in learning is that it is essential to apply courageous task collection when studying. For students who have a high learning discipline attitude, the learning outcomes obtained are also high, namely learning outcomes. The results of the research state that there is an effect of collecting daring tasks assisted by Edlink Sevima on learning outcomes.
ANALYSIS ON THE IMPACT WORK FROM HOME (WFH) ON THE TEACHING ENGLISH DURING THE COVID-19 PANDEMIC IN MADRASAH ALIYAH NEGERI TOLITOLI

The purpose of this research was to determine the positive and negative impacts of working from home (WFH) in teaching English during the COVID-19 pandemic at Madrasah Aliyah Negeri Tolitoli. This type of research is a qualitative research whose data sources consist of three English teachers, namely SLM, IDR and WHB. Methods of data collection using interviews. The results of this study indicate that working from home has positive and negative impacts. (1) Positive Impact. (a) Teachers can learn some new applications. (b) Students are easier to learn again by using Handphones. (2) Negative impact. (a) Teachers find it more difficult to transfer their knowledge to students while working from home. (b) Students cannot participate in learning activities because some students do not have pulse data and are in places that do not have a network, while learning is done online. (c) Teachers cannot conduct moral assessments to students because they do not meet face to face.