Reviewerly/exHarmony huggingface dataset:
Peranan Implementasi Tata Kelola Teknologi Informasi (IT Governance) sebagai Faktor Penting dalam Meningkatkan Kinerja Perusahaan

The application of information technology governance (IT Governance) plays an important role in utilizing information technology to fit the company's vision, mission and goals. However, there are still many companies that have not implemented IT Governace due to various factors such as: the existence of internal companies that refuse the application of information technology, the limited human resources who master information technology competence, the unavailability of frameworks and policy foundations in the information technology environment, the lack of commitment from top management, the high cost of investment in IT Governance and so on. The greater use of technology has not been accompanied by greater support for the achievement of strategies so that investments made are in vain. research and research results show that the lack of understanding of IT Governance makes unproductive investments made by companies. The method used in this research is descriptive qualitative which presents a systematic review of the problems in the implementation of Information Technology Governance (IT Governance).
Comparing the Performance of Anomaly Detection Algorithms

An Anomaly is a data point which differs in characteristics from other data points in the dataset.The detection of anomaly plays an important role in machine learning.But most of the algorithms provide anomaly detection only with limited generalization capacity.In this paper, In this paper, we compare the efficiency of anomaly detection methods which has better robustness.The three outlier detection algorithms used are Local Outlier Factor, Isolation Forest and Autoencoders.Based on the accuracy, recall, precision, F1 score of the algorithms, the comparison graph is constructed for the three datasets and the efficient algorithm is determined.
A COMPARISON OF WORD, ABOVE WORD, AND GRAMMATICAL EQUIVALENCE OF GOOGLE AND HUMAN TRANSLATION OUTPUT IN MEDICAL-SURGICAL NURSING BOOK

This study aims to analyze the equivalence of translation results produced by Google Translate and the human translator in terms of equivalence at word level, above word level, and grammatical equivalence.This study was designed as a descriptive qualitative research.Moreover, the data were taken from a medical book entitled 'Handbook for Brunner and Suddarth's Textbook of Medical-Surgical Nursing' and its translation 'Keperawatan Medikal-Bedah Brunner & Suddarth'.The data were identified and analyzed based on the concept of equivalence proposed by Baker (1992).The result showed that at word level, there were 5 out of 51 data were identified having different interpretations and only 1 had the same meaning to the SL.Meanwhile, there found 30 out of 51 data were identified in terms of equivalence above word level.In which, the majority of 16 phrases out of 30 translated in different choice of words leading to different meaning as intended in the SL.Furthermore, the category of grammatical equivalence found in the translation produced by Google Translate and human translator are number, voice and tense.In terms of number, the most changes occurred in the human translation is in the form of plural to singular, while in the Google translation, the plural nouns were translated into both singular and plural nouns.Moreover, in terms of voice, Google Translate translated in the same form as in the source language, while in the human translation, the form changed from SL active into passive and SL passive into active.In the category of tense and aspect, the human translator translated changed SL present perfect into TL present, while Google Translate added temporal determiners to show the adverb of time of the sentence.
Line-Storm Ludic System: An Interactive Augmented Stylus and Writing Pad for Creative Soundscape

We present Line-Storm, an interactive computer system for creative performance.The context we investigated was writing on paper using Line-Storm.We used self-report questionnaires as part of research involving human participants, to evaluate Line-Storm.Line-Storm consisted of a writing stylus and writing pad, augmented with electronics.The writing pad was connected to a contact microphone, and the writing stylus had a small micro-controller board and peripherals attached to it.The signals from these electronic augmentations were fed into the audio-synthesis environment Max/MSP to produce an interactive soundscape.We attempted to discover whether Line-Storm enhanced a self-reported sense of being present and engaged during a writing task, and we compared Line-Storm to a noninteractive control condition.After performing statistical analysis in SPSS, participants reported they were, on average, no more present and engaged during the experimental condition than during the control condition.As creativity is subtle, and varies with person, time, context, space and so many other factors, this result was somewhat expected by us.A statistically significant result of our study is that some participants responded to Line-Storm more positively than others.These Preservers of Line-Storm were a group, distinct from other participants, who reported greater presence and engagement and who wrote more words with Line-Storm and during the control condition.We discuss the results of our research and place Line-Storm in an artistic-technological context, drawing upon writings by Martin Heidegger when considering the nature of Line-Storm.Future work includes interesting, immer-
PERSEPSI GURU DALAM MENINGKATKAN MUTU PENDIDIKAN BERBASIS SISTEM INFORMASI MANAJEMEN DI SEKOLAH DASAR NEGERI 08 BATANG ANAI

This study aims to obtain information about Teacher's Perception to increase of academic quality based of Management Information Systems at Elementary School 08 Batang Anai which is viewed from aspects: quality and management information system. This type of research is descriptive. The sample in this research were all teachers in SDN 08 Batang Anai, amounting to 11 peoples. Research method is qualitative descriptive. The data that has been collected by obsrvation and interview with the teachers and employee in that school. The result showed that: 1. Teacher's perception in improving the quality of education in SDN 08 Batang Anai is considered weak. The number of those who complained about being unable and lacking in expertise made the quality of education in these schools decline. 2. Teachers' perceptions in using the Management Information System in Schools are also considered weak. Some senior teachers who only rely on school operators make the information system not run smoothly as it should.
An Intelligent Planning-Based Modeling Method for Diagnosis and Repair

Planning and model-based diagnosis are both branches of artificial intelligence. In model-based diagnosis, multiresults may be gotten which lead to an uncertain diagnosis. We use the landmark method from planning to designing an event sequence to get a reaction. A method that uses planning to repair in local results of incremental diagnosis is proposed. Firstly, a model is established on model-based diagnosis and planning. Incremental diagnosis results are used as the initial state of planning, and the heuristic search method is used to find the solution to an unfaulty state. Two algorithms with different strategies are designed for diagnosis and repair: one is to repair all possible faults and use controllable events to repair them, and the other is to test through the feedback of controllable events and observable events to get the only solution and repair them. At the same time, the efficiency of the incremental diagnosis method is improved based on heuristics.
THE EFFECTS OF LOCAL-SPECIALIZED CAREER EXPERIENCE PROGRAMS ON KOREAN STUDENTS’ CAREER MATURITY AND COMMUNITY AWARENESS

The purpose of this study was to examine the effects of the Local-Specialized Career Experience programs (LSCE) in South Korea on adolescents' career maturity and community awareness.In 2015, the Korea Congress passed the Career Education Act (CEA), and the CEA was launched on December 23, 2015, which governs the Republic of Korea (South Korea) K-16 career education policy.To achieve the CEA goals, the Korean Ministry of Education established an infra-structure for K-16 students to explore and experience various careers as part of experiential learning.One is Local-industry based career exploration and experience project.The Korean Ministry of Education and 17 local educational departments support the LSCEP to provide secondary school students with the career experience opportunities with collaboration with key local industries and career experience centers as a consortium.Before and after they participate in the programs, students' career maturity and community awareness were assessed to examine the effects of the LSCEP on the study variables.A total of 4,638 secondary school students who participated in the LSCEP in 2019 provided usable data for this study.The independent sample t-test was employed to analyze the data.The findings revealed that the values of the variables after experiencing the programs scored higher than those before.The results of the study suggested that the LSCE programs can promote adolescents' career maturity and community awareness.
PENINGKATAN AKTIVITAS BELAJAR SISWA PADA PEMBELAJARAN TEMATIK MENGGUNAKAN PENDEKATAN VCT MODEL MATRIKS DI SDN 36 CENGKEH KOTA PADANG

In order to enhance the students' learning activities on thematic learning at SDN 36 Cengkeh, Padang. Classroom action research conducted. Objectives to be achieved by the researchers is to increase the activity of teachers and students during the learning takes place by using the Matrix Model VCT approach. This study consisted of two cycles with data analysis techniques qualitative and quantitative descriptive implemented through three stages: planning, action and observation, reflection. The data collection was assisted by VB classroom teachers using teacher and student activity sheets. The results showed that the activity of teachers increased by 6% from 78% in the first cycle to 84% in the second cycle. While the student activity increased by 9% from 75% in the first cycle to 84% in the second cycle.
Integrative Framework for Blockchain Implementation: Uniting Organizational, Business and Engineering Factors

Adopting new technologies such as the Blockchain technology requires considering the broad range of different factors associated with the same.There is just the emergence of the scholarly literature on the Blockchain technology.The studies mainly focus on the technical aspects of the technology specking on its architecture, way of functioning and such.Not many studies focus on the framework that can be referred to, to adopt the Blockchain technology.In this study a framework for adoption of the Blockchain technology has been proposed considering the different factors such as organizational, business and engineering factors.Each of these factors has been further divided into sub-factors for better understanding.These factors are interlinked to one another and mutually influence each other.This framework that has been proposed can be implemented by the organizations as a point of reference for adopting different applications of Blockchain.The scholars can further expand the study and refine as well as carry out future research in this domain.
Main problems in the development and provision of personalized electronic training content

The aim of this article is addressing of the main issues with today's software solutions for developing interactive learning content. As a result, the main approaches are derived to providing adaptive personalized training are outlined and the key problems in creating personalized interactive e-learning are systematized.
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary.

Membership inference (MI) in machine learning decides whether a given example is in target model's training set. It can be used in two ways: adversaries use it to steal private membership information while legitimate users can use it to verify whether their data has been forgotten by a trained model. Therefore, MI is a double-edged sword to privacy preserving machine learning. In this paper, we propose using private augmented data to sharpen its good side while passivate its bad side. To sharpen the good side, we exploit the data augmentation used in training to boost the accuracy of membership inference. Specifically, we compose a set of augmented instances for each sample and then the membership inference is formulated as a set classification problem, i.e., classifying a set of augmented data points instead of one point. We design permutation invariant features based on the losses of augmented instances. Our approach significantly improves the MI accuracy over existing algorithms. To passivate the bad side, we apply different data augmentation methods to each legitimate user and keep the augmented data as secret. We show that the malicious adversaries cannot benefit from our algorithms if being ignorant of the augmented data used in training. Extensive experiments demonstrate the superior efficacy of our algorithms. Our source code is available at anonymous GitHub page \url{this https URL}.
Pengembangan Media Pembelajaran Interaktif Berbantuan Adobe Flash Cs6 Pada Mata Pelajaran Teknologi Perkantoran di Kelas X OTKP SMK Negeri 1 Lamongan

Learning media can be used as a support for teaching and learning activities in class. The study was conducted to find out media development, analyze the feasibility of the media, and students' responses to the learning media developed, learning media was developed in office technology subjects in class X OTKP SMKN1 Lamongan. This type of research is R&amp;D in order to create a product. This study adapted the 4-D model by Thiagaran, there are 4 stages, namely the first stage define, the second stage of design, the third stage of develop, the fourth stage of desseminate. Researchers conducted the research until the develop stage because the desseminate was carried out on a broader scale. Data collection instruments in this study consisted of a material &amp; media expert validation questionnaire, and an online student response questionnaire. The validation of the material by the lecturer of the Study Program Office Administration Education Unesa, while the validation of media experts by the multimedia teacher of SMKN 1 Lamongan. The subjects of this interactive learning media were students X OTKP industry and X regular OTKP of SMKN 1 Lamongan, tested on 20 students chosen by random sampling. The results of evaluating the material validator got a percentage of 92% with the category "very strong", then the results of the assessment of the media validator got a percentage of 86% with the category "very strong". The results of the questionnaire responses of students obtained an average percentage of 97% with the category "very strong". Based on the assessment of the material validator, media validator, and student responses, it can be stated interactive learning is feasible to be used as a medium to support learning activities in office technology subjects in SMK Negeri 1 Lamongan.
SEGMENTASI CITRA PARU-PARU MENGGUNAKAN METODE KONTUR AKTIF DENGAN VALIDASI ROC

Segmentation is the process of separating parts of objects from the background by dividing images that have different object intensities with each other such as in imaging of body parts. Active contour segmentation was used for medical imaging that resistant to noise around objects. This study used 5 chest X-Ray images, specifically to the lungs with a grayscale format measuring 256 x 256 pixels, through the preprocessing process and filtering a Gaussian filter, each image was inputted to the R2015a version of the matlab GUI program. Then the segmentation had done by using the active contour method. In this method a curve in the form of a small circle was placed on the edge of object to be segmented. The curve will move according to the shape of the outer edge of the lung based on the values of active contour parameters such as Alpha, Beta, Gamma, Kappa, WEline, WEdge, WEterm and Iteration. Validation was done by using the ROC (Receiver Operating Characteristic) method and were obtained an average percentage with an accuracy value of 96.26%, a specificity of 96.47% and a sensitivity of 76.54%.
On Innovative Cultivation Mode of Technical and Skilled Talents in Well-adapted and Trend-following Way

It is the main task of advanced vocational education at present and in the future to keep up with the pulse of the construction of modern vocational education system, improving the level of running schools and the quality of personnel training.Shanghai Urban Construction Vocational College originates from three vocational colleges.With a long-term school running history, the newly established vocational college is at a new starting point of development.There is a long way to go to realize innovation in inheritance and development in integration.For the better development of the school, we must actively adapt to the needs of national and regional economic and social development and the situation and tasks of comprehensive education reform of national and local governments; grasp and make good use of various development opportunities to meet full needs of industries and enterprises; always regard exploring and improving the ability of talent cultivation as our core task; follow the law and path of quality maintenance, continuously innovate on talent training mode, play a good role in social service, enhance their own characteristics in the service, and enhance the comprehensive strength in the service.
Deep learning-based isolated handwritten Sindhi character recognition

Motivation :The problem of handwritten text recognition is vastly studied since last few decades.Many innovative ideas have been developed, where state-of-the-art accuracy is achieved for the English, Chinese or Indian scripts.The recent developments for the cursive scripts such as Arabic and Urdu handwritten text recognition have achieved remarkable accuracy.However, for the Sindhi script, existing systems have not shown significant results and the problem is still an open challenge.Several challenges such as variations in writing styles, joined text, ligature overlapping, and others associated to the handwritten Sindhi text make the problem more complex.Objectives: In this study, a deep residual network with shortcut connections and summation fusion method using convolutional neural network (CNN) is proposed for automatic feature extraction and classification of handwritten Sindhi characters.Method: To increase the powerful feature representation ability of the network, the features of the convolutional layers in the residual block are fused together and combined with the output of the previous residual block.The proposed network is trained on a custom developed handwritten Sindhi character dataset.To tackle the problem of small data, a data augmentation with rotation, flipping and image enhancement techniques have been used.Findings:The experimental results show that the proposed model outperforms than the best results previously published for the handwritten Sindhi character recognition.Novelty: This is the first research that proposes deep residual network with summation fusion for the Sindhi handwritten text recognition.
Trends and priority areas of state policy development in higher education for the period of 2000-2020

The purpose of this article is to compare the results of the implementation of regulatory legal acts related to state policy in higher education, adopted for the period of 2000-2020, with the developed priority areas in education. According to the reports on the results of the activities of the Ministry of Science and Higher Education of the Russian Federation for the same period, the priority areas in higher education and the results of legislative framework functioning for the period under study were analyzed. As a result, four stages of state policy in higher education were identified (such grouping is determined by the periods of validity of the considered regulatory legal acts), including documents that regulate the education system as a whole and are narrowly focused on higher education. It should be noted that the implementation of the fourth stage has not yet been completed due to the fact that the period of validity of regulatory legal acts ends in 2020; therefore, several scenarios of the course of events were made up. Based on this study, an approach was formed to assess the conformity of priority areas and the results of state policy in the field of higher education, which helped to identify “bottlenecks” in the control over the implementation of the defined priorities.
The efficacy of Instagram on biology undergraduate students in University of Ilorin, Nigeria

Instagram is one of social media commonly used and has influential power among people for sharing ideas, instructional media, and social interaction. This study aimed at examining the efficacy of Instagram on Biology students in University of Ilorin. This quasi experimental study included 75 undergraduate students of University of Ilorin, Nigeria majoring in Biology and Biology Education. Instagram Learning Content Course ware, Instagram Biology Test, Instagram Biology Marking Guide, and Daily Lesson Plan were the instruments used in data collection process. Furthermore, the data gained were analyzed using t-test and ANCOVA. The results revealed that there was significant difference existed between biology Major and Biology Education students in their learning achievement [t(74) = 17.852, p&lt;.05]. In contrast, there was no significant difference between male and female students in learning as they utilized Instagram in learning process [F(10,25) = 2.129, p&gt;.05]. In conclusion, the more attention is crucial to be pain for students in their learning process, particularly in the media used.
Classroom Environment as an Essential Factor in the Development of Quality of Primary School Teaching

Teaching is an educational process which sets aims and tasks.Education processes have several factors which can contribute to the success of education: teachers who are leading figures in classrooms and in the teaching process, students for whom the training is intended, curriculum content which is transmitted to students, and general conditions in the classes, including seat ranking and ambient factors, classroom equipment and so on.To be a successful teacher, despite these factors, teaching requires a favourable classroom's ambience.This research aims to determine the attitudes and opinions of elementary school teachers and high school teachers (N=357) towards the influence of the classroom's ambience during the teaching process.According to the survey results, participants believe that a positive or negative classroom atmosphere affects the quality of the teaching process, it affects the teacher and his or her quality of teaching, behaviour and mood, as well as the pupils and their responses, and it can influence the quality of their results.Furthermore, we can assume that elementary school teachers and high school teachers use different methods to improve the positive ambience in their classrooms, they respect other teachers' suggestions, and all of this helps to create a motivating atmosphere for pupils' progress.