Reviewerly/exHarmony huggingface dataset:
IT GOVERNANCE AUDIT AT THE KAMPAR REGENCY LIBRARY AND ARCHIVES DEPARTMENT USING COBIT 2019 AND ITIL 4

Information Technology (IT) is a tool that plays an important role in helping improve the effectiveness and efficiency of a company's or organization's business processes. The Kampar Regency Library and Archives Service uses the Integrated Library System (INLIS) Lite to support operational, management, and decision-making functions in the library. However, the use of INLIS Lite has not been fully utilized properly, for this reason it is necessary to carry out an IT governance audit. The audit process aims to determine the extent of IT performance, human resources, and the level of IT maturity in the library. This study uses Control Objective for Information and Related Technology (COBIT) 2019 and Information Technology Infrastructure Library (ITIL) 4 to conduct audits. With the findings of the audit results obtained eight process domains, namely APO02 and APO012 domains are at level 1 (Performed) in the Largely Achieved category, APO09 and BAI08 domains are at level 2 (Managed) in the Largely Achieved category, domains APO013, BAI05 and MEA01 are in the Largely Achieved, and the APO07 domain is at level 4 (Predictable) and in the Fully Achieved category. In addition to the audit, an assessment of the capability level was also carried out using the Servqual Model and Importance Performance Analysis with the results of obtaining 2 criteria in quadrant A, 1 criterion in quadrant B, 2 criteria in quadrant C and 3 criteria in quadrant D. This study also provides recommendations for improvement using SWOT model approach refers to ITIL 4.
ANALYSIS OF LEARNING WEB APPLICATION TESTING WITH WEIGHTING PRODUCT AND ORDERED WEIGHTING AVERAGING ON GROUP DECISION MAKER

In 2019-2021, almost every country in the world is being hit by an outbreak of Corona Virus Disease (Covid-19) which has a major impact on various fields, one of which is in the field of education. Utilizing learning web applications is one way to carry out teaching and learning activities so that students continue to learn. Web application testing is the process of running software to find errors in the content, interface, navigation, components, configuration, performance and security of web applications. The purpose of this study is to analyze the testing of the learning web application of the Rumah Belajar Kemdikbud, Kelas Pintar, and Sekolahmu based on seven criteria aspects. The method used is the Weighting Product (WP) method to determine the results of web application testing based on seven aspects and to integrate web application testing assessments from the Group Decision Maker using the Ordered Weighting Averaging (OWA) method. The results showed the level of accuracy after testing the Web-Test application and manual calculations in Microsoft Excel using the WP method was 90% while the OWA method was 80%.
EDUCATIONAL GAME HIJAIYAH LETTER INTRODUCTION FOR DEAF IMPAIRMENT AND MENTALLY DISABILITIES CHILDREN

Sekolah Luar Biasa (SLB) Yayasan Asuh Anak-Anak Tuna(YAAT) Surakarta is a school that focuses on educating children with deaf impairment and mentally retarded disabilities in Surakarta. Less interest in learning and the lack of alternative learning media are problems that arise in the school, one of which is regarding the learning of hijaiyah letters. The purpose of this research is to provide a solution for schools to deal with existing problems by developing educational games to increase interest in learning for deaf and mentally retarded students and to become an alternative learning medium for teachers to students. This game was designed using Construct 2 software and for its manufacture using several steps, such as Analysis, Application Design, Application Implementation, and Testing. This game is made as easy as possible so that students can easily use it. The built application consists of several menus, namely materials, playing and quizzes. After the application has been demonstrated, the game is played by students alternately, then students and teachers are given a questionnaire to test the performance and usability of the game. The results of the blackbox test showed that the application was in accordance with what was expected by the application developer, and the results of the User Acceptance Test obtained an average value of 91.908%, indicating that this game makes it easier for teachers to convey material and provides convenience for students in understanding learning material.
Image Super-Resolution with Multi-scale Residual Dense Feature aggregation Networks

Abstract In recent years, for the effect of image reconstruction, the research of single image Super-resolution (SISR) using Convolutional Neural Networks (CNN) has made significant progress, and is superior to traditional methods. Aiming at improving network performance, residual connection plays a key role in these CNN-based methods. With the increase of the depth of these CNN-based networks, the residual features more aggregate the information of multiple different levels of the input image, which is more advantageous for the reconstruction of image details. However, inmost deep CNN-based SR models, the hierarchical features of the original Low-resolution (LR) image are not fully utilized. In order to solve this problem. We propose Residual Dense Feature Aggregation Block (RDFAB). Where RDFAB is the unit of residual blocks and the features extracted from each residual block are aggregated to the end of the module. As a result, RDFAB is able to produce more representative features. To further strengthen the effectiveness of RDFAB, we propose a multi-scale feature aggregation (MFA) framework, and our final multi-scale residual dense feature aggregation network (MRDFAN) combines RDFAB and MFa together with the addition of skip connections.Comprehensive experiments demonstrate the necessity of the MF A framework and the advantages of MRDFAN over the state of the art SISR methods.
Computational scaling of political positions from textual data using word embeddings

Political positions can be scaled from textual data using word embeddings. This extended abstract proposes a method for automatically scaling political positions using word embeddings from political speeches. The method is based on the the idea of using association-based scores with two dictionaries, like in the word embedding association test (WEAT). I conducted computational experiments to show that the method works in principle and give ideas on how I want to improve the method in the future.
Superpixel-Based PSO Algorithms for Color Image Quantization

Nature-inspired artificial intelligence algorithms have been applied to color image quantization (CIQ) for some time. Among these algorithms, the particle swarm optimization algorithm (PSO-CIQ) and its numerous modifications are important in CIQ. In this article, the usefulness of such a modification, labeled IDE-PSO-CIQ and additionally using the idea of individual difference evolution based on the emotional states of particles, is tested. The superiority of this algorithm over the PSO-CIQ algorithm was demonstrated using a set of quality indices based on pixels, patches, and superpixels. Furthermore, both algorithms studied were applied to superpixel versions of quantized images, creating color palettes in much less time. A heuristic method was proposed to select the number of superpixels, depending on the size of the palette. The effectiveness of the proposed algorithms was experimentally verified on a set of benchmark color images. The results obtained from the computational experiments indicate a multiple reduction in computation time for the superpixel methods while maintaining the high quality of the output quantized images, slightly inferior to that obtained with the pixel methods.
Implementation of Data Analytics for the Accuracy of Service Time Prediction Models

The performance of repair services is very important to determine the achievement of consumer confidence. The strategy that needs to be made is to pay attention to the timeliness of repairs so that no one is harmed between consumers and service providers. Tracing information on data from repair services is one effective way to determine the accuracy of computer repair time. The collection of information used comes from the Istidata Indopacific Solution Center (IISC) repair service dataset, consisting of a collection of data on the completion time of product unit repairs that are achieved and not achieved. Repair completion time is the time in accordance with the agreement between the repair service party and the consumer. Data processing is carried out by processing analytical data by utilizing the Weka Tools software with the application of classification with the J48 decision tree method which is the development of the C4.5 algorithm. The effectiveness of this method was tested using 10-fold cross validation, where from the results of the confusion matrix measurement an accuracy of 99.5% was obtained. The result states that the J48 decision tree method is effective and can be used to predict the accuracy of computer repair time.
Materiales digitales autoconstruidos para la enseñanza del espacio en la formación docente: propuesta didáctica

Today it is necessary for trainee teachers to develop their digital competence in order to be able to meet the educational needs of their future students. Among the many ways of working on this competence is that which is related to the self-construction of digital materials for educational use. In this sense, we present a didactic proposal that aims to promote digital competence in trainee teachers in the Early Childhood Education Degree at the University of Salamanca. Based on research and independent work, students must design a didactic proposal that allows them to teach a series of contents related to geographic space using self-built digital materials as didactic tools. The aim is to test the ability of future teachers to generate useful digital materials, as well as to work on digital competence as a means of improving comprehensive knowledge. Conducting a pretest and posttest has allowed us to quantify the evolution of the learning of the theoretical content to be addressed. In a sample of 52 subjects, all students experienced an increase in their grades following the implementation of this didactic proposal. The students’ average grade of 6 points out of 10 in the second test was higher in comparison with the first. Thus, it can be determined that the didactic proposal offered here yields positive results in terms of learning content related to geographical space.
The Implementation of SQ3R Method for Teaching English Reading Text

Problems that arise during online learning must be addressed immediately, including learning to read English. Many students do not achieve effective learning and tend to rely on smartphones instead of using the results of their own ideas and thoughts. The SQ3R method is a method for learning reading that can help students understand English texts with the analysis stage and generate ideas and creativity from their own minds. This study aims to determine: How to implementation SQ3R method in online English learning. This research is a qualitative research by describing how the implementation of the SQ3R method and the results of the SQ3R method that have been carried out online. The participants in this study were 25 students of grade 8F at SMP N 1 Tempel . Collecting data in the form of student interview questionnaires, transcripts of teacher interviews and photos of the implementation of the SQ3R method online. Through research instruments in the form of interviews, questionnaires and documentation. The collected data were analyzed descriptively in the form of presentation tables and presentation of interview transcripts and questionnaires. The first stage of data collection in this study was teacher and student interviews, then applied the SQ3R method to students and documentation of the results of the SQ3R method applied by students. The results of implementation of SQ3R method indicate that the SQ3R method can be applied online by enabling teachers to create media that can help students understand the SQ3R method.
The Implementation of Autonomous Learning in Teaching Speaking for Senior High School Students at SMA N 3 Bantul

The aims of the research are to identify the implementation of autonomous learning in teaching speaking for senior high school students in SMA N 3 Bantul and to find out the factors that influence lack of speaking. The research was conducted in descriptive qualitative methodology. The data findings were obtained from the observation, interview and documentation of senior high school students of SMA N 3 Bantul. The participants of the research were the students of X IPA 1 of SMA N 3 Bantul. The data was divided into four points as follows: 1) the characteristic of autonomous learner, 2) the work-cycle of autonomous learning class, 3) teacher-students’ role in autonomous learning, 4) the factors that influence lack of speaking performance of senior high school students. The results of the research were categorized into two aspects. First it is the characteristics of autonomous language learner namely having high motivation, strong curiosity, aware to use technology, having the high self-confidence. The work-cycle of autonomous classroom were plan, do, and evaluate. Teacher- learner role in autonomous class consisted of teacher as facilitator, teacher as motivator and teacher as the resource and responsibility for making good environment of autonomous class. Second, it is the factors that influence lack of speaking performance namely incorrect pronunciation, low grammar comprehension, low vocabulary mastery, low motivation, less self-confident, nervous and speaking anxiety, and lack of language input.
The Advantages of the Phonics Method for Early Childhood Reading Skills

Teaching foreign languages especially reading for early chilhood is more challenging and applying an interesting method is needed to improve their ability. Teachers must have known some of easy and fun methods for early chilhood so that the learning process can run well. One method that can be used is the phonics method. Phonics is a method for teaching reading and writing of the English language by developing the letters of the alphabet and their sounds first for their phonemic awareness and an understanding of the links between these sounds and how to use the letters of the alphabet to represent them. A child learning phonics will see a "p" and know that the sound is "puh." This skill will prove incredibly useful when the child is sounding out unknown words and syllables. The strength of this method is the students are easy to make connections between words and sounds. Besides, they can quickly recognise familiar words and to easily sound out new words they encounter. This paper examines the concept of the phonics teaching method and its effectiveness to develop the reading skill for early chilhood.
The Study of Abstract Translation of Non-English Department Student at UPY

his study aims (1) to describe the problems of students when they have to translate an abstract from Indonesia to English, (2) to describe translation technique (TT) used by students when translating abstract, (3) to describe the impact of the application of TT used on the quality of abstract translation, (4) to describe the solution that the researcher takes to solve the problems in translating abstract. This study was conducted at University of PGRI Yogyakarta, 27th June 2021. It was qualitative study with total 10 respondents using FGD technique. They were 5 males and 5 females (four students of management, three students of history education, two students of civics education, and one student of mathematics education). Interviews and questionnaire in FGD were used to collect the data. The result showed that (1) the respondents have problems in translating abstract such as in choosing article, in understanding the English, in having less vocabulary, in knowing the meaning, in asking someone’s help to translate, in understanding grammar, in translating abstract without any help from their supervisor and in translating abstract using Google translate only. (2) The respondents used pure borrowing and established equivalent techniques. (3) The application of pure borrowing and established equivalent technique have impacted to the translation quality. Their abstract translation quality score C, D and E. (4) The researcher did the small training as the solution to improve their abstract quality.
Augmented Reality Sebagai Media Pelatihan Penanganan Kebakaran Hutan Bagi Warga Desa Pasir Panjang Batam

The dry season in Batam brings the threat of drought. The dry season has an impact in the form of the threat of fires in settlements and protected forests in the Rempang and Galang Islands, Batam. Based on the survey and analysis activities in 2018, it is known that residential areas in Pasir Panjang Village often experience fires, however, residents do not yet have the knowledge and ability to handle early fire disasters. In the 2018 community service activities, socialization was carried out with the Batam City Fire Service, but it had not yet reached the technical realm. Fire handling training is required for residents with fire extinguishers, however, residents' access to this tool is still limited and the price is quite expensive. This activities has produced an application prototype based on augmented reality to simulate the use of a fire extinguisher as a media for educating citizens. The application prototype has been tested and can serve as a training medium for residents. In addition, this community service program also provides training and assistance in handling in a fire disaster.
Hurdling with the “New Normal”: Thoughts and Experiences of Parents on the Shape of their Children in the Academe

This study is focused on the Thoughts and Experiences of Parents on the Shape of their Children in the Academe as they hurdle in the new normal. Specifically, it sought to analyze their thoughts on the ten questions posited on them that varied from safety of their children in school, module purchase and subsidy, optimum learning despite on the adopted learning system by the school, time to submit finished tasks of their children, academic freeze, and thoughts in case tehir children get sick. Findings included the following: Parents were doubtful as to safety of their children in the school yet, hopeful that through the skills, knowledge, and dedication of their reachers, optimum quality education could still be achieved regaredless of the learning modality which the school implements, subsidy of modules was strongly begged for since an allocation fro materials production is a priority of the school amidst this pandemic, academic freeze wa not an option to a majority, humane considerations from the teachers was a loud remark from parents. This allows their children to analyze, edit, and review materials and assignments. In conclusion, parents’ priority is education of their children that they need to purchase modules at all cost, hopeful that optimum learning and quality education could be achieved through the dedication and commitment of skilled and knowledgeable teachers. It is then recommended that the administration may want to consider conducting an orientation seminar to parents as to the new procedures, policies, modality for learning for teir children, Parents are also recommended to monitor and guide their children especially on the submission of finished tasks and other assignements.
STUDENTS’ USE OF DISCOURSE MARKERS IN ORAL PRESENTATIONS

This study is a descriptive qualitative study aims at analyzing the use of discourse markers in student’s oral presentations at English graduate program of Semarang state university in academic year 2015/2016. This study used spoken data discourse markers proposed by Blanpain (2009) for data analysis. The data of the study were collected from the students of the second semester in English graduate program of Semarang state university. The method of analyzing the data was coding, classifying, reducing, calculating, interpreting, and drawing inference. The researcher used method and theoretical triangulation to validate the data.The findings of the study showed that the students used discourse markers signpost in their oral presentation such as, getting started, referring to a previous point, starting or announcing a new point, referring to visuals, giving an example or elaboration, expressing reasons and connections, restating, aside markers, inviting questions, and summarizing. The second was the students used gestures, gaze, and intonation to indicate the trasitions. The last the students used the monothone expressions it because they lack of vocabulary.
FAST FRACTAL IMAGE ENCODER DESIGN

Fractal theory has been widely applied in the filed of image compression due to the advantage of resolution independence, fast decoding, and high compression ratio. However, it has a fatal shortcoming of intolerant encoding time because that every range block is need to find its corresponding best matched domain block in the full image. Therefore, it has not been widely applied as other coding schemes in the field of image compression. In this paper, an algorithm is proposed to improve this time-consuming encoding drawback by the adaptive searching window, partial distortion elimination and characteristic exclusion algorithms. Proposed can efficient decrease the encoding time significantly. In addition, the compression ratio is also raised due to the reduced searching window. Conventional fractal encoding for a 512 by 512 image need search 247009 domain blocks for every range block. Experimental results show that our proposed method only search 120 domain blocks which is only 0.04858% compared to conventional fractal encoder for every range block to encode Lena 512 by 512 8-bit gray image at the bit rate of 0.2706 bits per pixel (bpp) while maintaining almost the same decoded quality as conventional fractal encoder does. This paper contributes to the research of encoder of fast image communication system.
COMPARATIVE ANALYSIS OF DIFFERENT RECEIVE ALGORITHMS FOR BLAST ARCHITECTURE IN MOBILE COMMUNICATION SYSTEMS

The Layered Space-Time Processing approach to STC was first introduced by Lucent’s Bell Labs, with their BLAST family of STC structures. The information bits are demultiplexed into individual streams, which are then fed into individual encoders. These coders may be binary convolutional coders, or even no coding at all. The outputs of the coders are modulated and fed to the separate antennas, from which they are transmitted, using the same carrier-frequency/symbol waveform (TDMA) or Walsh code (CDMA). At the receiver, a spatial beamforming/nulling (zero-forcing) process is used at the front end in order to separate the individual coded streams, and feed them to their individual decoders. The outputs of the decoders are multiplexed back to reconstruct the estimate of the original information bitstream. Various receivers for communication system with Space-Time Coding in MIMO Channel are considered. Performance analysis was provided by statistical simulation for various parameters of communication system.