Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Simple Additive Weigthing Untuk Penentuan Level Kondisi Penyandang Disabilitas

The Pagar Alam City Service determines the level of condition of persons with disabilities by collecting data in the field, then the results are determined by conclusions and logic based on individual characteristics without any further calculations through predetermined criteria. So that in determining the level of the condition of persons with disabilities, errors often occur with results that are not optimal, such as errors in predicting and determining the condition of persons with disabilities, besides that the data collection process is still recorded in a book and then recapitulated into the Microsoft Excel application so that this method still often accumulates data. This research has the aim of creating a system that is able to determine the level of condition of persons with disabilities by applying the SAW or Simple Additive Weighting calculation method. The results of this study are a decision support system that is able to determine the level of conditions for people with disabilities including people who are blind, deaf, quadriplegic, speech impaired and mentally retarded with mild, moderate and severe conditions using the Simple Additive Weighting (SAW) calculation method.
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks

Building Integrated Photovoltaics (BIPV) is a promising technology to decarbonize urban energy systems via harnessing solar energy available on building envelopes. While methods to assess solar irradiation, especially on rooftops, are well established, the assessment on building facades usually involves a higher effort due to more complex urban features and obstructions. The drawback of existing physics-based simulation programs is that they require significant manual modelling effort and computing time for generating time resolved deterministic results. Yet, solar irradiation is highly intermittent and representing its inherent uncertainty may be required for designing robust BIPV energy systems. Targeting on these drawbacks, this paper proposes a data-driven model based on Deep Generative Networks (DGN) to efficiently generate high-fidelity stochastic ensembles of annual hourly solar irradiance time series on building facades with uncompromised spatiotemporal resolution at the urban scale. The only input required is easily obtainable, simple fisheye images as categorical shading masks captured from 3D models. In principle, even actual photographs of urban contexts can be utilized, given they are semantically segmented. Our validations exemplify the high fidelity of the generated time series when compared to the physics-based simulator. To demonstrate the model's relevance for urban energy planning, we showcase its potential for generative design by parametrically altering characteristic features of the urban environment and producing corresponding time series on building facades under different climatic contexts in real-time.
Digital Agriculture and Intelligent Farming Business Using Information and Communication Technology: A Survey

Adopting new information and communication technology (ICT) as a solution to achieve food security becomes more urgent than before, particularly with the demographical explosion. In this survey, we analyze the literature in the last decade to examine the existing fog/edge computing architectures adapted for the smart farming domain and identify the most relevant challenges resulting from the integration of IoT and fog/edge computing platforms. On the other hand, we describe the status of Blockchain usage in intelligent farming as well as the most challenges this promising topic is facing. The relevant recommendations and researches needed in Blockchain topic to enhance intelligent farming sustainability are also highlighted. It is found through the examination that the adoption of ICT in the various farming processes helps to increase productivity with low efforts and costs. Several challenges are faced when implementing such solutions, they are mainly related to the technological development, energy consumption, and the complexity of the environments where the solutions are implemented. Despite these constraints, it is certain that shortly several farming businesses will heavily invest to introduce more intelligence into their management methods. Furthermore, the use of sophisticated deep learning and Blockchain algorithms may contribute to the resolution of many recent farming issues.
THE SIGNIFICATION OF DEATH STORYLINE IN TEENLIT REFLECTED IN “LOOKING FOR ALASKA” BY JOHN GREEN

Literary works often include the theme of death as part of the story. But it is seldom realized that the theme of death gave a very significant role to the storyline. It is undeniable that the author deliberately put the theme of death as the core issue to convey something behind the story. This article discussed the sociological study of literature related to the representation of death in contemporary literary works. A teen lit novel by John Green entitled Looking for Alaska is the source of the data in this article. This article limits the research by referring toward two problem formulations; first, how the representation of death can be expressed in the novel. Second, how the theme of death in the novel is related to the social phenomenon of American society, in this case related to the modern society view towards death. The researcher used Hagin's theory regarding the significance of death in literary works. The method used is descriptive qualitative. The results of the study indicated that the theme of death has a significant role in the story where the death is present in the middle of the story or it is categorized as an intermediate of death (in Hagin concept). Death becomes meaningful in relation to the present, events that are still happening and have not been completed. Using Hagin's perspective, the role of death in Looking for Alaska is categorized into three; the manner of establishing the goal, obstacles, and the forming of death. Meanwhile, the relationship between death and the perspective of modern society is explored using Aries concept in the term Forbiden of Death. Death is considered a thing to be feared, so everyone tries to deny, reject, and stay away from death. Death is visualization for everyone who is haunted by emptiness, an emptiness that blinds vision and creates the fear.
GEOMATICS VOCATIONAL EDUCATION IN CHINA: CURRENT SITUATION AND RECENT DEVELOPMENTS

Abstract. Geomatics vocational education (VE) is very important for the high-quality development of geomatics industry and high-level supply of skilled talents. Firstly, the paper briefly introduced the development history of geomatics VE in China, and summarized the current status of geomatics VE. Secondly, the paper analysed the issues and problems of geomatics VE, including insufficient input, ambiguous orientation, slowly technology updating, weak teaching staff and closed communication environment. Next, the paper reported the recent reforms of geomatics VE, including the revision of discipline catalog, training objectives and requirements and recommended curriculum standards at different levels. Then, latest developments of teaching resources and training platform are discussed. Finally, the paper proposed an outlook of geomatics VE in China.
Development of the CTL-based PPKn Module to Improve Student Learning Independence

This study aims to: (1) determine the feasibility of the CTL-based PPKn module; (2) determine the effectiveness of using the CTL-based PPKn module to increase student learning independence. This research is a development research with 4D models by Thiagarajan with four stages, namely Definition, Design, Development, and Disseminate. The trial design used was One Group Pretest-Posttest Design with sample of 25 students. The CTL-based PPKn module was declared very suitable to be used as a learning resource with the results of material expert validation by 90.63%, design expert validation by 93.75%, and linguist validation by 96.88%. The results of the N-Gain Score test are 0.72 so that the CTL-based PPKn module is effective for increasing student learning independence.
The Effects of Positive Reinforcement on Students’ Writing Achievement in an Indonesian EFL Classroom

This research was aimed to find out the effects of positive reinforcement on students’ writing achievement and the students’ perception about the implementation of positive reinforcement. This research design used a quasi-experimental design. A quasi-experimental design is the design of experiment that use two classes that were investigated. The concept of quasi-experimental design there were two groups, experiment class and control class. The total of sample were 48 students consisted of 24 students for experiment class and 24 students for control class and this research applied cluster random sampling. The instruments used were tests and questionnaires. The results of the research showed: (1) there was a significant effect of positive reinforcement on students’ writing achievement. (2) the students have positive perception about the implementation of positive reinforcement in teaching writing.
Akuntan Dalam Industri 4.0

&#x0D; This study aims to identify and analyze the opportunities and challenges faced by professional accountants, how accountants deal with technological advances, and technological developments in the Industrial Revolution Era 4.0. The approach used in this research is qualitative. The sample in this study consisted of 4 informants at PT. Eriadi Fatkhur Rokhman. The data collection technique in this research is to conduct structured interviewsThe results show that if accountants must be technology literate and able to adapt to technology, even though technology will not eliminate the accounting profession but will reshape it with new and challenging responsibilities, it is likely that some of the accounting profession's work will be taken over by technology, accountants will turn into interpreter, or analyze and interpret data, so that the accounting profession can continue to survive, therefore, accountants must be able to follow existing developments.&#x0D; Keywords: Accountant, Industrial Revolution 4.0, PT. Eriadi Fatkhur Rokhman, Technology
On Building Spoken Language Understanding Systems for Low Resourced Languages

Spoken dialog systems are slowly becoming and integral part of the human experience due to their various advantages over textual interfaces. Spoken language understanding (SLU) systems are fundamental building blocks of spoken dialog systems. But creating SLU systems for low resourced languages is still a challenge. In a large number of low resourced language, we don't have access to enough data to build automatic speech recognition (ASR) technologies, which are fundamental to any SLU system. Also, ASR based SLU systems do not generalize to unwritten languages. In this paper, we present a series of experiments to explore extremely low-resourced settings where we perform intent classification with systems trained on as low as one data-point per intent and with only one speaker in the dataset. We also work in a low-resourced setting where we do not use language specific ASR systems to transcribe input speech, which compounds the challenge of building SLU systems to simulate a true low-resourced setting. We test our system on Belgian Dutch (Flemish) and English and find that using phonetic transcriptions to make intent classification systems in such low-resourced setting performs significantly better than using speech features. Specifically, when using a phonetic transcription based system over a feature based system, we see average improvements of 12.37% and 13.08% for binary and four-class classification problems respectively, when averaged over 49 different experimental settings.
THE CRITICAL ISSUES OF KNOWLEDGE MANAGEMENT AND SHARING ACROSS SERVICE AGENCIES.

Purpose: Government agencies are mainly known as knowledge-intensive organizations. In order to exploit effective knowledge sharing, they have to develop practical knowledge sharing implementation approaches. Nevertheless, strong demand and expectation from citizens for efficient service delivery, coupled with global challenges in the knowledge-based economy have fuelled the need for government agencies to consider the effective implementation of knowledge sharing as a strategy to improve service delivery. Effective knowledge-sharing initiatives have the potential to benefit government agencies in view of their role. This paper aims to identify the core issues in knowledge-sharing initiatives that government agencies face in delivering effective policies, particularly in their role and influence in the construction industry.&#x0D; Results: Based on a critical review of literature on knowledge sharing in government agencies, dysfunctional bureaucracies, training, utilization of information technology, and adaptation to culture were identified as key issues.&#x0D; Unique contribution to theory, practice and policy: It is recommended that a balanced approach and support to these issues and challenges in implementing knowledge sharing initiatives are duly considered together with attention given to effective leadership, strategic alignments, capability, and capacity building among teams.
INFORMATION CULTURE OF PRIMARY CLASS TEACHER: THEORETICAL ASPECTS

The article considers the issues of information culture of primary school teachers. In the context of informing society, the primary school teacher must learn to take advantage of the information environment and avoid its dangers. Today, information culture is becoming a guarantee of the effectiveness of a teacher’s professional activity. In this case, the information culture is a certain universalization of the pedagogical qualities of the teacher and allows him to deeply understand its real role in the development of the personality of the junior student. To clarify the concept of "information culture", the author explores the terms "culture" and "information". The article presents both dictionary and encyclopedic definitions of the concept of "culture" and the views of individual scholars. Summarizing various definitions, the author gives an understanding of the concept of "culture" as a specific way of organization and development of human life, represented in the products of material and spiritual labor, in the system of social norms and institutions, in spiritual values, in the set of human relations to nature. themselves. The definition of "information" is also given in the legislative-dictionary-encyclopedic interpretation and interpretation of individual researchers. Emphasizing that information is used in all spheres of human life and provides a variety of functions, the author interprets information as information about people, objects, events, phenomena, facts, processes of the world that can be stored, accumulated, reproduced, transmitted and processed and is the result of cognitive activity of the subject of intellectual activity. Based on the understanding of these two concepts, the definition of "information culture" is determined. The author also characterizes the information culture of primary school teachers, which is a certain integrated set of knowledge, skills, values, interests and behavioral models related to the field of information, information flows, information and communication models. The article notes that the information culture of primary school teachers is related to ethical norms and issues of information security and is a harmonious combination of four components: activity, communication, cognitive and motivational. Thus, the information culture of primary school teachers makes it possible to create an effective space for interaction with information as an important element of effective professional activity in the transformation of education in Ukraine.
Frequency of Utilization of ICT Tools by Krishi Vigyan Kendra Scientists of Rajasthan State, India

Information communication technology (ICT) is a multidimensional term for information technology (IT) that addresses the role of integrated communication and the integration of telecommunications (telephone lines and wireless signals) and computers as well as essential enterprise software, middleware, storage, communication which enable users to access, store, transmit and manipulate information. ICT’s is emerging as an important tool for the progress of society. The new technology has significantly improved lifestyle and efficiency levels in all sectors of the economy. This enables the utility of information &amp; communication technology to overcome physical distances and time gaps in communication. Rapid improvements in information technology have increased their cost and space requirements, speed and storage capacity in a short span of time with traditional communication materials such as posters, charts, leaflets, folders, bulletins, audio tapes, transparency, photographs, prepared slides, videotape etc. In simple terms, ICT is a set of techniques evolved to manage information and move it from one place to another. It has been observed that in this traditional system used to take a lot of time to convey the information given to the farmers and the information was not received correctly. The rapid development of information technology has given a new look to communication systems. Now connecting two computers across the country has become an easy task. Separate ICT projects have been initiated by government, NGO’s and private companies. As a result, villages in many parts of the country have been connected through a wired network to eliminate the distance between rural and urban people. Krishi Vigyan Kendra are established by Indian Council Of Agricultural Research (ICAR) all over the country as an institutional innovation for application of agricultural science and technology on the farmer’s field with the help of multidisciplinary team i.e. Senior Scientists and Subject Matter Specialists. Who give skill or knowledge oriented training to farmers in multidisciplinary areas like Horticulture, Animal Husbandry and Fisheries, Home Science Agriculture Extension, Agronomy, Plant Protection Entomology/Pathology and Agriculture Engineer. The result of the study depict that the frequency of utilization of ICT tools by scientists for the farmers the tool which is utilized maximum by the KVK scientist is Smart phone, Internet and WhatsApp with (x = 5.00) and Rank-I and the minimum utilized by scientists Agri Guru, Mahadhan App, Agro medix agriculture app, Farm Key were not very frequently used ICT tools with (x= 0.21, 0.17., 0.7,.0.00). Rank L,LI,LII.LIII,LIV.
Harnessing Serious Games For Developing Indonesian Elementary School Students’ Critical Thinking Attitudes

Critical thinking is one of the essential skills required in all fields in the 21st century. As a response to this need, one of the efforts that Indonesian policy-makers make is through developing Curriculum 2013 which is designed to equip students with the ability to think critically. However, instilling critical thinking skills from an early age without developing an individual’s critical thinking attitudes is not a wise choice. It is because possessing critical thinking skills without having a willingness to use them will be less beneficial. This article presents the results of a literature study on how serious games, as a product of current advancement of digital technology, can be utilised to develop three critical thinking attitudes, namely, willingness to plan, the attitude of flexibility, and consensus-seeking attitude. Moreover, this article also presents three strategies that can be used to implement serious games in Indonesian elementary school context, namely, using ADDIE (analysis, design, development, implementation, and evaluation) model as a framework for developing serious games, adapting the existing serious games with BYOD (bring your own device) model, and promoting parental and family involvement.
A review of Khmer word segmentation and part-of-speech tagging and an experimental study using bidirectional long short-term memory

Large contiguous blocks of unsegmented Khmer words can cause major problems for natural language processing applications such as machine translation, speech synthesis, information extraction, etc. Thus, word segmentation and part-of- speech tagging are two important prior tasks. Since the Khmer language does not always use explicit separators to split words, the definition of words is not a natural concept. Hence, tokenization and part-of-speech tagging of these languages are inseparable because the definition and principle of one task unavoidably affect the other. In this study, different approaches using in Khmer word segmentation and part-of-speech are reviewed and experimental study using a single long short-term memory network is described. Dataset from Asia Language Treebank is used to train and test the model. The preliminary experimental model achieved 95% accuracy rate. However, more testing to evaluate the model and compare it with different models is needed to conduct to select the more higher accuracy model.
Digital Movie Recommendation Algorithm Based on Big Data Platform

How to associate films with users among various film data and help users get useful information is a big problem we face. The recommendation system aims to provide users with accurate project recommendations, which can effectively solve the problem of information explosion caused by a large amount of data. Traditional recommendation systems are widely used in movie shopping. Aiming at this problem, this paper designs and develops a collaborative filtering recommendation algorithm based on big data platform. Firstly, the depth is deeper than the traditional automatic coding network, and the new activation function is used to generate the depth feature vector. Secondly, the model can describe both linear and nonlinear features of movie data, which further improves the extraction ability of nonlinear features. Experimental results show that the proposed algorithm is effective and can bring better user experience and economic benefits to consumers.
SAT-Based Extraction of Behavioural Models for Java Libraries with Collections

Behavioural models are a valuable tool for software verification, testing, monitoring, publishing etc. However, they are rarely provided by the software developers and have to be extracted either from the source or from the compiled code. In the context of Java programs, a number of approaches exist for building behavioural models. Most of these approaches rely on the analysis of the compiled bytecode. Instead, we are looking to extract behavioural models in the form of Finite State Machines (FSMs) from the Java source code to ensure that the obtained FSMs can be easily understood by the software developers and, if necessary, updated or integrated into the original source code, e.g. in the form of annotations. Modern software systems are huge, rely on external libraries and interact with their environment. Hence, extracting useful behavioural models requires abstraction. In this paper, we present an initial approach to this problem by focusing on the extraction of FSMs modelling library APIs. We focus on the analysis of Java code involving the use of collections. To this end, we encode the operational semantics of collection operations using patterns of Boolean predicates. These patterns are instantiated based on the analysis of the source code of API implementation methods to form an encoding of the possible FSM transitions. A SAT solver is then used to determine the enabledness conditions (guards) of these transitions.
MOTIVATION OF EDUCATIONAL AND RESEARCH WORK IN PERSONALITY-ORIENTED LEARNING

The article shows the role o f motivation as a basic factor of student's readiness to teaching and research activity, singles out groups of motives of scientific-reseat work, outlines some ways of step-by-step purposeful development o f motives of teaching-research work, with the object of raising of effectiveness of readiness to this type of activity under conditions of personal oriented training.