Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF ABSORPTION CAPACITY OF LIBRARY SCIENCE ALUMNI OF UIN RADEN FATAH PALEMBANG AND ITS RELEVANCE TO THE CURRICULUM

Competition in the Global Era, which is currently getting tighter, demands every institution, especially Higher Education Institutions, to be able to produce alumni in accordance with the demands of the times. The orientation of learning outcomes in tertiary institutions is not seen from the scores obtained, but more than that it is expected that alumni who have graduated in tertiary institutions have the ability based on the internalization of knowledge, attitudes, skills, competencies and accumulated work experience. To find out and measure the quality of higher education institutions, one of which is tracing the tracks of alumni (Tracer Study). So that the evaluation of the competencies produced by higher education becomes an important thing to do so that the world of higher education is not separated and too far from the real world of work in society. To answer these challenges and needs, a library science study program based on KKNI was designed, 75% of which leads to practical work in the library to produce professional librarians. Based on the results of surveys and research, data shows that the waiting period for alumni is more than 50% under 6 months, even 27% of them have got a job before graduating. While the level of relevance / suitability of the course with the work of the alumni respondents, 81% answered very well.
UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA MATERI HIMPUNAN MELALUI MODEL PROBLEM BASED INSTRUCTION BERBASIS LKPD KELAS VII-1 DI SMP GENESIS MEDICARE DEPOK

This research aims to improve students' mathematics learning outcomes in class VII-1 of Genesis Medicare Middle School.Through the application of the LKPD-based Problem Based Instruction learning model to the set material.The research samples were all students of class VII-1 at Genesis Medicare Middle School as many as 34 students.The method used by researchers is Classroom Action Research (CAR).This research uses two cycles.Each cycle has 4 stages, namely (1) Planning, (2) implementation, (3) observation and (4) Reflection.Data collection techniques are through mathematics learning achievement tests, formative tests, student worksheets.Based on the results of the research it can be concluded that the average value of students before the action is 66.59, with a minimum percentage of completeness criteria achievement of 35.25%.In Cycle I, the average value of students was 74.26, with a minimum percentage of completeness achievement criteria of 52.94% and in Cycle II the average value of students increased by 80.83 with a percentage that reached the minimum completeness criteria of 79.41%.The results of observations of student activity in cycle 1 with a percentage of 78.25%.and in cycle II reached 82.92%.Observation Results Teacher activity in Cycle I 83.33% and in Cycle II reached 84.17%.The final conclusion of this class action research shows that through the Problem based Intruction model can improve mathematics learning outcomes in the set material in class VII Middle School of Genesis medicare, Depok in the academic year 2019/2020.
Implementation of Tensorflow in the CCTV-Based People Counter Application at PT Matahari Department Store, Tbk

Counting the number of visitors (people counter) is an activity carried out in many retail stores. This information, although very simple and basic, can be used as one of the main bases for making decisions. In the past, PT Matahari Department Store, Tbk (MDS) has calculated the number of visitors manually with an accuracy of around 90%. The purpose of this research is to design an automated people counter system using the existing CCTV video networks in MDS stores. The research methodology used is data collection methods in the form of literature studies and interviews, and systems development methods in the form of prototyping. The system uses Tensorflow to recognize visitors who enter and leave the store. This system is a prototype and is used as a proof of concept for MDS to make decisions regarding the application of appropriate technology in carrying out the people counter process along with the things that need to be prepared if this system is to be implemented thoroughly in all MDS stores in Indonesia.
Teaching Reading Digital Texts within Neuroscientific Achievements

The authors consider the process of teaching learners reading digital texts as pedagogical support for their search activity. Taking into account psychophysiological regularities and psychological mechanisms a teacher gets an opportunity to simulate the environment and conditions for learners to form implications, formulate questions and implement research and search for new questions based on the obtained results with the help of hypertextuality, multimedia and interactivity of digital texts in a real educational process. The purpose of the study is to identify a strategy for reading digital text. The simulation experiment for senior learners includes two opposite ways of teaching reading digital text. He/she had to start first with the short text reading, then with the corresponding picture and vice versa. The personal significance of the read text or picture, understanding of the text content and the accuracy of its reproduction were taken into account. Experimental evidence suggests the importance of using strategies for teaching reading a digital text as strategies allow the learner to act as a subject of attitude to the subject of knowledge. Teacher’s digital text-based sequencing of learning situations, based on the principle of integrity, provides a sequence of future-oriented behavioral acts in the context of neuroscience achievements.
A Graphical Tool For Assessing The Suitabilty Of A Count Regression Model

Whilst many numeric methods, such as AIC and deviance, exist for assessing or comparing model fit, diagrammatic methods are few. We present here a diagnostic plot, which we refer to as a `Quantile Band plot', that may be used to visually assess the suitability of a given count data model. In the case of diagnosed model inadequacy, the plot has the unique feature of conveying precise information on the character of the violation, hence pointing the data analyst towards a potentially better model choice.
PENGARUH MINAT BELAJAR DAN MOTIVASI BELAJAR TERHADAP PRESTASI BELAJAR MATEMATIKA SISWA KELAS VIII SMP NEGERI 22 SINJAI

This study aims to determine: (1) a description of the students' interest in learning mathematics at SMPN 22 Sinjai, (2) a description of the motivation to learn mathematics of students at SMPN 22 Sinjai, (3) a description of the mathematics learning achievement of students of SMPN 22 Sinjai.The type of research used is quantitative with the ex post facto method. The sample in this study is the entire population, namely 60 students. The results showed that the students' interest in learning mathematics at SMPN 22 Sinjai was in the medium category. Students' motivation to learn mathematics is in the medium category. Students' mathematics learning achievement is in the medium category. There is a positive relationship between interest in learning and mathematics learning achievement of students at SMPN 22 Sinjai.. There is a positive relationship between learning motivation and student mathematics achievement. Learning interest and learning motivation simultaneously or collectively have a positive relationship to variable Y or learning achievement. That is, the higher the interest in learning and student motivation to learn together, the student achievement will increase, and vice versa.
SECURITY AND COPYRIGHT PROTECTION TECHNIQUE FOR DIGITAL IMAGE

The information's are transformed from transference spot to the destination spot through the digital communication.For maintaining the quality of images and transferring the information's, there are many techniques.And also the information's may be in different forms like audio, images, graphics, messages, animated forms or texts.While transferring the information from one medium to another medium there is need for security and copyright protection.Here, for the experiment 2 dimensional images are used.To provide security and copyright protections services there many different types of techniques.The Advanced Encryption Standard (AES) techniques is used to provide the security services and the Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) is combined watermarking technique is used for copyright protection services.To provide security, authenticity, copyright protection to the images for the different attacks like salt and pepper noise, speckle noise, Gaussian noise and poisson noises, the combined digital image watermarking and AES technique is used.
Reshaping english language teachersâ€™ beliefs in the digital era

English language teachersâ€™ beliefs in the digital era is an area which requires to be explored thoroughly. On account of this, this qualitative study explored teachersâ€™ beliefs regarding EFL didactics, based on their experiences and knowledge within a hybrid learning environment. Six EFL teachers from a private school in Bogota participated in an eight-session course meant to prepare teachers for hybrid learning. Findings suggest that teachersâ€™ beliefs and roles were reshaped while attending the eight sessionsâ€™ course. Although data collected showed a wide spectrum of answers from the teachers, they were connected in their desire to teach English in alternative manners to benefit students. As part of the conclusions, I found that although the use of technology is essential in effective learning (Littlejohn &amp; Pegler, 2007), it continues to be a challenge for some teachers. Therefore, it is of vital importance to create spaces in which teachers can interact, share their experiences in the classroom, and create new knowledge and ideas in their teaching practices. By doing so, teachers can gradually face societal and technological challenges (Estudillo, 2001) and promote meaningful learning in digital natives (Littlejohn &amp; Pegler, 2007) through language and technology.
The Use of Video as a Learning Strategy in Supporting the Increasing Knowledge and Clinical Skills of Nursing Students

Video is a promising, relevant, and increasingly used form of learning media that can improve the quality of education. This study aims to further examine the use of video as a learning strategy in supporting the knowledge and clinical skills of nursing students. This study uses a quasi-experiment with pretest and posttest design to compare video methods and lecture methods in nursing students. The research sample population was 60 respondents and the research data collection method used the MCQ (Multiple Choice Question) questionnaire sheet for the assessment of the knowledge, while the OSCE (Objective Structured Clinical Examination) sheet for the assessment of students' clinical skills. Based on the results of research using paired t-test, posttest t-test, and hypothesis testing using independent sample t-test that the value of t count &gt; t table (p-value = 0,000 &lt;0.05), so that the value is significant in improving both aspects of the assessment. The video method has a higher average score and improvement than the lecture method.
THE INHIBITION ASPECTS OF ENGLISH TEACHING LEARNING PROCESS IN SMA NEGERI BENLUTU, SO’E

The purposes of the study are to explain students’ and teachers’ experience in dealing with the inhibit aspects of English teaching-learning process. This study is used the qualitative approach and the case study as the design of the study. The participants of the study were 26 students and 3 teachers of SMA Negeri Benlutu, So'e. The results of the study shown that the inhibition aspects such as rural environment, lack of learning resources makes the students left behind in English education background. As well as the local cultural factor, it is also affects the students to use the local language more often than using English in class activity. Besides that, students’ negative attitudes also cause the students unmotivated in class. The results concluded that schools and governments should review their policies in applying English learning in a rural school environment. It is expected that teachers and students can get the solution to avoid the factors that inhibiting the effectiveness of learning English in the classroom
APLIKASI PELAPORAN KEGIATAN MENTORING DI UNIVERSITAS TEKNOLOGI SUMBAWA BERBASIS ANDROID

Sumbawa University of Technology (UTS) is a private university in the Sumbawa Regency, West Nusa Tenggara Province. The Mentoring Unit is one of the organizations located at the Sumbawa University of Technology. This research aims to build an Android-based mentoring activity reporting application that can be used to assist the reporting process of mentoring activities which includes attendance, recitation assessment, and examination evaluation, and also administrators in managing activities so that they can run well. Researchers built an Androidbased application and developed it using Android Studio by using MySql as a database and sublime text as a text editor. Software development method uses Waterfall Model and software testing is done through black-box testing. Data collection techniques in research using interviews and documentation, the results of this study are web-based thesis registration applications that are useful to assist teachers in the process of mentoring and management in managing activities in order to run well
Development and assessment of the quality of a mobile application on canine health care and management for veterinarians

Over the last decade, India witnessed a spike in pet care. In the year 2018, the number of pet dogs in India was about 19.5 million. By the end of 2023, the population is expected to surpass 31 million. The surge in the number of pet dogs in India has contributed to an improvement in sale of pet food too, from around $139 million in 2014 to around $285 million in 2018 (Keerlery, 2020). Information Technology (IT) has emerged over the last few years as a means of collecting, storing and distributing information. Information Communication Technology, commonly referred to as ICT, is an expanded synonym for information technology but actually encompasses much more and also covers the role of systems integration and the convergence of telecommunications (telephone lines and wireless signals, including mobile telephony), sophisticated building management networks, and interactive media systems in integrated IT. ICT (Information and Communication Technology) involves the use of computers and other electronic devices and systems for electronically capturing, recording, using and transmitting data. Mobile systems are a part of this ICT family, but are in particular intrinsically linked to Expert Systems. Another significant development in this area has been the development and increased application of the use of mobile applications in the daily life of people. The advent of mobile apps can play a fundamental role in future client veterinary interactions as the number of mobile carriers, especially smartphones, are on the rise. If veterinarians can properly harness this ICT tool, it will prove to be a boon in the long run, in the ever-changing technological landscape.
Better Optimization can Reduce Sample Complexity: Active Semi-Supervised Learning via Convergence Rate Control

Reducing the sample complexity associated with deep learning (DL) remains one of the most important problems in both theory and practice since its advent. Semi-supervised learning (SSL) tackles this task by leveraging unlabeled instances which are usually more accessible than their labeled counterparts. Active learning (AL) directly seeks to reduce the sample complexity by training a classification network and querying unlabeled instances to be annotated by a human-in-the-loop. Under relatively strict settings, it has been shown that both SSL and AL can theoretically achieve the same performance of fully-supervised learning (SL) using far less labeled samples. While empirical works have shown that SSL can attain this benefit in practice, DL-based AL algorithms have yet to show their success to the extent achieved by SSL. Given the accessible pool of unlabeled instances in pool-based AL, we argue that the annotation efficiency brought by AL algorithms that seek diversity on labeled samples can be improved upon when using SSL as the training scheme. Equipped with a few theoretical insights, we designed an AL algorithm that rather focuses on controlling the convergence rate of a classification network by actively querying instances to improve the rate of convergence upon inclusion to the labeled set. We name this AL scheme convergence rate control (CRC), and our experiments show that a deep neural network trained using a combination of CRC and a recently proposed SSL algorithm can quickly achieve high performance using far less labeled samples than SL. In contrast to a few works combining independently developed AL and SSL (ASSL) algorithms, our method is a natural fit to ASSL, and we hope our work can catalyze research combining AL and SSL as opposed to an exclusion of either.
Data Management Application Research and Community Service Development Center (P4M) Web Based on STMIK Dipanegara Makassar

STMIK Dipanegara Makassar as an IT campus should rightly maximize the use of technology in an effort to improve the quality and productivity of lecturers and students. One of them is at the Research and Community Service Development Center (P4M) unit that handles the Field Work Plus lectures as well as the Research and Community Service of Internal Lecturers. Where the administration of data management is still using manual methods which of course can cause problems such as lost files, data collection that takes a long time and constrained information dissemination. Therefore, there needs to be an application that can manage administrative data where the application is built in the form of a web so that it can be used as a medium for disseminating information about activities that are the responsibility of P4M. This study uses observations and interviews in gathering data. With this system, P4M no longer needs to use manual methods in managing its administrative data and can use the system as a medium for spreading information.
Correction to: The stability flexibility tradeoff and the dark side of detail

A Correction to this paper has been published: https://doi.org/10.3758/s13415-021-00865-1
Perception of Children’s Reading with Literature and Audio Visual Materials in the Public Library

This study examined the perception of children on reading, the audiovisual materials available for children in the public library, kinds of literature children love most, challenges inhibiting children from coming to the library, the lessons learnt and the implications of the findings. The survey took place in the children‘s department of the divisional library with twenty two (22) children who are registered members of the library. There were four (4) engagements with children using children‘s literature and audiovisual materials in reading. The instruments used were reading inventory, literature, focus group discussion (FGD) and observation technique. The study found out that the participants loved reading. While 20 participants loved books with pictures, 2 refuted the idea. The challenges revealed that the library is far from their residence, among others. It was recommended that more advocacies should be done to schools for more attendance to children‘s reading while more audiovisual materials should be provided for meaningful learning. The implication is that if children are not inspired with new reading facilities, their interest will wane which will affect academic and knowledge. With this, the national development will never be actualized because these children are the progressive population for resilient cities and communities.&#x0D; Keywords: Audio visual, Children Literature, Public Library, Reading Resources
DaliNet: Lighter, deeper and larger field of vision

In recent years, with the in-depth development of semantic segmentation in the field of artificial intelligence and the emergence of deep learning, semantic segmentation is playing an increasingly important role in driverless vehicles. At present, although some semantic segmentation models perform well in road recognition, the training process is very complicated. Most of them require a huge number of data sets to achieve the goal of high accuracy. This undoubtedly limits the applied conditions of the model. So we propose DaliNet, which has a wider field of view for image feature extraction, fewer parameters, and a deeper network. We introduced an improved 3x3 convolutional neural network, residual network, parallel hole convolution, bottleneck structure and inverted pyramid structure in the DaliNet model. DaliNet can be trained on a small dataset of Kitti and showed the characteristics of high accuracy and low latency for road recognition. We conducted experiments on Google colab (Telas T4) and the average processing time was only 0.18 seconds.
Tools and Methods of Formation of Professional Competence of Future Teachers of Computer Science and Information Technologies

This article analyzes the process of effective use of methods and tools aimed at building professional competence in the process of professional competence, qualification requirements for modern professionals, training of teachers of computer science and information technology.
KONSEP DASAR HIPERGRAF DAN SIFAT-SIFATNYA

This article discusses fundamental properties of hypergraphs. Hypergraphs are generalization of graph which hyperedges, edges in hypergraph, can join more than two vertices. The fundamental properties in this article are the vertices degrees, connection in hypergraphs, and dual hypergraph. connectivity in hypergraphs in this article are walks, trails, strict trails, path, and cycles. In the end of this article, we present a few examples of problems that can be represented by hypergraph.
Individual Identification Through Voice Using Mel-Frequency Cepstrum Coefficient (MFCC) and Hidden Markov Models (HMM) Method

Voice is one of the parameters in the identification process of a person. Through the voice, information will be obtained such as gender, age, and even the identity of the speaker. Speaker recognition is a method to narrow down crimes and frauds committed by voice. So that it will minimize the occurrence of faking one's identity. The Method of Mel Frequency Cepstrum Coefficient (MFCC) can be used in the speech recognition system. The process of feature extraction of speech signal using MFCC will produce acoustic speech signal. The classification, Hidden Markov Models (HMM) is used to match unidentified speaker’s voice with the voices in database. In this research, the system is used to verify the speaker, namely 15 text dependent in Indonesian. On testing the speaker with the same as database, the highest accuracy is 99,16%.