Reviewerly/exHarmony huggingface dataset:
Implementation of Community Outreach Program of the National Service Training Program: A Causal Model on Students’ Productivity

This study attempted to develop a causal model on students’ productivity in the implementation of community outreach program in San Agustin Institute of Technology. Specifically, this study aimed to: assess the level of implementation of San Agustin Institute of Technology Community Outreach Program; identify the attitudes of the San Agustin Institute of Technology students towards community outreach program; ascertain the level of students productivity of San Agustin Institute of Technology in terms of: knowledge and skills; determine the problems encountered on the implementation of San Agustin Institute of Technology Community Outreach Program; correlate students’ productivity and the following: a. extent of implementation, b. attitude of students towards community outreach program, and c. problems encountered on the implementation of community outreach program; identify the variables that best predict students’ productivity; and develop a causal model that best fits students’ productivity. A self-made questionnaire and an international study-based questionnaire was adopted to determine the attitude of the students towards community outreach program. Additional structured interview questionnaire was also considered. Descriptive statistics was used for the summary and analysis of the data including frequencies, percentage, means, and standard deviations. In addition, Weighted Mean was used to answer the first, second, third, and fourth objectives of the study, Pearson r coefficient correlation was used to correlate the fifth objective, Stepwise Regression Analysis was used for sixth objective, and lastly, it used path analysis, for studying patterns of causation. There is a positive attitude from the students towards community outreach program, there is a high productivity in terms of the level of students’ productivity in both knowledge and skills, sometimes there are problems encountered by the students in the implementation of community outreach program. Extent of implementation, and attitude of students towards community outreach program was found out to have significant relationship with the students’ productivity. Study further revealed that cleanliness and beautification, frequency of use, and attitude of the students towards community outreach program are the variables that best predict students’ productivity. Moreover, causal model 2 qualified as the best model based on the different test for goodness-of-fit used in this study.
Efficient Reed–Solomon Redundant Arrays of Independent Disks 6 Exclusive OR Accelerator with Scaling Scheme

An efficient Reed-Solomon redundant arrays of independent disks 6 (RS-RAID 6) exclusive OR (XOR) accelerator with a scaling scheme is proposed in this paper.The accelerator first considers the hardware working characteristic to reduce the complexity of codec computation.To increase efficiency, the parameter calculation of the 8-bit Galois field [GF(8)] is converted to a GF(2) calculation, where two additions, one multiplication, and one division are optimized in every 8 bits of calculation.A new scaling scheme is also proposed to guarantee the input/output (I/O) balance.The proposed Reed-Solomon (RS) codec hardware architecture is fully verified at the Real Time Logistics (RTL) level and synthesized with a GF 12 nm technology library to compare the gate cost and input/output operations per second (IOPS) performance with those of other classic solutions.Separate simulations are performed for different codec algorithms and scaling schemes.The IOPS performance of the proposed RS-RAID 6 XOR accelerator is improved by a factor of 2-3 at the cost of 47% more gates.
MacWilliams identities for linear codes over the ring Z4+uZ4 on the Hermitian inner product

Coding theory has so many important applications in cryptogram, communication technology and network security, etc. The MacWilliams type of identities for linear codes over rings are very important research object, becauce they are related to the computation of decoding error probability and error probability of undetectable codes. In this paper, we study linear codes over the ring <i>Z</i><sub>4</sub> + <i>uZ</i><sub>4</sub> with <i>u</i><sup>2</sup> = 0 . The Hermitian inner product over such ring is defined. New definitions for the complete weight enumerator, the symmetrical weight enumerator, the Lee weight enumerator and the Hamming weight enumerator of linear codes over the ring <i>Z</i><sup>4</sup> + <i>uZ</i><sub>4</sub> for the Hermitian inner product are given. The MacWilliams identities for these weight enumerators are studied.
Multi-scale residual neural network for image steganalysis

Deep steganalysis networks (DSNs) has made a great progress in detection performance. However, most of the deep image steganalysis networks are not complete end-to-end models. In their approach, traditional hand-crafted features are employed to pre-process the images, which can obtain the high-frequency noise residuals to alleviate the interference of the image content. To avoid relying on domain knowledge of deep learning-based methods, we design an end-to-end deep image steganalysis neural model that combines multi-scale feature extraction and residual fusion modules. Firstly, we use the standard convolution kernels of different sizes to extract the features of different scale receptive fields in the input image. Then, depth-wise convolution is used to independently models the inner-channel correlations of multi-scale features and retains the discriminative statistical characteristics of each channel. The residual fusion technique is introduced to aggregate hierarchical feature and strengthen information representation in the network. Experimental results show that, compared with the existing classical deep image steganalysis networks, the proposed steganalysis scheme has a great improvement in steganalysis error rates.
Urgensi Literasi Digital Tengku dalam Membangun Kerukunan Umat Beragama

Digital literacy skills are very important today. Someone who has good digital literacy skills is a person who is independent and skilled in finding information, and has the ability to choose the type of information needed and present it effectively. As an opinion leader, Tengku must master digital literacy so that he is not mistaken in conveying messages to his followers. This will help prevent inter-religious conflicts in society and promote inter-religious harmony.&#x0D; &#x0D;
ANALISIS MODEL PEMBELAJARAN THINK PAIR SHARE (TPS) UNTUK MENINGKATKAN HASIL BELAJAR MAHASISWA PADA JURUSAN AKUNTANSI PSDKU POLNEP DI KABUPATEN SANGGAU

The Think Pair Share (TPS) learning model is one of the learning models that need to be used in the implementation of teaching and learning activities, because the Think Pair Share (TPS) model is designed to invite students to think about finding answers to a question from a concept through a group (in pairs). One of the problems faced in accounting learning is the low student accounting learning outcomes because lecturers always use the lecture method so there is less interaction. This study aims (1) to find out how to analyze the Think Pair Share (TPS) learning model to improve student learning outcomes in joint venture material for the fifth grade advanced financial accounting course majoring in accounting at PSDKU POLNEP in Sanggau district (2) to find out how student learning outcomes are accounting in the joint venture material for the fifth grade advanced financial accounting course majoring in accounting at PSDKU POLNEP in Sanggau district after analyzing the Think Pair Share (TPS) learning model. This type of research is Classroom Action Research. This research was conducted in 2 cycles, using pre-test and post-test cycles, second cycle using post-test. Sources of data obtained from lecturers and students. The data collection techniques by means of interviews, observation, and documentation.
Text Summarizer Using ML

Abstract: In this paper, we introduce TextRank – a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications. In particular, we propose two innova- tive unsupervised methods for keyword and sentenceextraction, and show that the results obtained com- pare favorably with previously published results on established benchmarks.
Deep Image Prior Regularized by Coupled Total Variation for Image Colorization

Automatic image colorization is an old problem in image processing that has regained interest in the recent years with the emergence of deep-learning approaches with dramatic results. A careful examination shows that these methods often suffer from the so-called "color halos" or "color bleeding" effect: some colors are not well localized and may cross shape edges. This phenomenon is caused by the non-alignment of edges in the luminance and chrominance maps. We address this problem by regularizing the output of an efficient image colorization method with deep image prior and coupled total variation.
Output Feedback Control of Fuzzy Systems via Reduced-Order Approximation Technique

This article focuses on the problem of designing the reduced-order dynamic output feedback (DOF) controller for discrete-time T–S fuzzy plants. Differing from the existing methodologies, the reduced-order approximation technique is applied to simplify the pregiven high-order DOF controller. The key point is to construct a reduced-order closed-loop model to approximate the original high-order closed-loop system. First, a new error auxiliary system between the high-order closed-loop system and the reduced-order closed-loop model is obtained. The sufficient conditions to guarantee that the corresponding error system is asymptotically stable with a prescribed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> performance index are developed. Then, the parameters of the desired reduced-order controller are derived by utilizing the projection lemma and the cone complementary linearization algorithm. Finally, the advantages of the proposed technique are illustrated by a series of simulation analysis.
SPECIFIC FEATURES OF MUSIC EDUCATION IN WALDORF SCHOOL

The article authors reveal the specific features of music education in Waldorf school. Based on theoretical methods (synthesis and analysis of scientific and educational sources) and empirical methods (observation, survey, conversation, study of the academic results of schoolchildren�s activities etc.), the general tendencies of modern Waldorf education, as well as the specific features of organizing the educational process in Waldorf school and music education, in particular, have been identified. The general tendencies of modern Waldorf education are: integration of Waldorf education into the world educational space while preserving the traditions of national pedagogy; growth of openness, diversification and commercialization of education; democratization of management of educational institutions; learner-cantered paradigm of education; axiologically-based goals of education; humanization and humanitarization of the content of education; modernization of curricula on the basis of the principles of openness, humanization, integration of academic disciplines; a combination of private initiative and state support; expansion of the network of Waldorf schools and Waldorf classes; creation of public educational and cultural associations, the activities of which contribute to the development of Waldorf education; close interaction of schools with public institutions; cooperation of teachers and parents; increasing attention to Waldorf teachers� training etc. The specific features of organizing the educational process in Waldorf school are: rhythmical organization of educational process; aesthetic education; active-practical projects; making own workbooks by children in every subject; work with schoolchildren�s temperaments etc. It has been identified that music education in Waldorf school is based on holistic approach to personality and comprehensive consideration of the specifics of child�s age and individual development. According to this, the specific features of schoolchildren�s music education in Waldorf school are: a clear correlation of music education with the age dynamics of children�s consciousness; the focus of music education on all children; active practical musical activities of schoolchildren; use of �live� music; rhythmic alternation of listening, performing music and singing; performing musical exercises accompanied by movements etc.
BIMBINGAN BELAJAR GRATIS BAGI SISWA SEKOLAH DASAR NEGERI 177923 PARIKMATIA TAPANULI UTARA PASCA PEMBELAJARAN DARING

One of the impact of pandemic Covid 19 in education is the learning lose. The learning lose mean that the student loss the education and skill in academic progress during almost two years the closure of face to face instruction. One solution that can minimalize the learning lose during the closure of face to face instruction is to give the students in school the tuition classes. In this article, we make the tuition classes after the school time as a community dedication from FKIP Universitas HKBP Nommensen Medan to SD Negeri 177923 Parikmatia, Tapanuli Utara, SUMUT from February 2 nd to 26 th, 2022. The tuition classes used student Oriented learning method by six students and one lecturer. The program has held successful where the students behave great benefits by the enhancing their competence in literacy and numeracy.
Google Translate Application for Simple Writing

&lt;div class="WordSection1"&gt;&lt;p&gt;The common problem in English teaching to a group of Indonesian speakers is that the group has difficulty understanding to an English topic. Such as in tenses, traditionally most teachers have done their best to explain in simple English and provide numerous examples. There's nothing wrong with this approach. However, as many Indonesian-speaking English teachers probably know, it can be helpful to quickly explain the concept in Indonesian. Then the lesson can turn back to English. Consequently, it wastes time and not effective, a solution should be found. One of the solutions is the Google Translate where Google Translate offers the most powerful, free online translation tools available. This English teaching article focuses on using Google Translate to help out in difficult situations, as well as provide ideas on how to use Google Translate in class in lesson plans. This research tries to provide and share the strength and weaknesses of Google translate tool for writing learning. This research took some students from seventh semester of UNINDRA students as sample. The methodology used was descriptive. This research took time for about four (4) months. The findings of this research point out that many people are helped by the benefit of the Google Translate application. Despite the weaknesses of it, they believe that the results of the translation are accurate as long as they revise the translations manually.&lt;/p&gt;&lt;/div&gt;
PENGEMBANGAN MEDIA PEMBELAJARAN ANIMASTRA UNTUK SISWA SEKOLAH MENENGAH PERTAMA

This study aims to develop animation-based animastra learning media for folk poetry material for grade VII students and determine the feasibility of animation-based animastra learning media based on the assessment of media experts, material experts and student responses. This type of research is Research and Development (R&amp;D) with potential and problem steps, data collection, product design, design validation, design revision, product trials, product revisions, usage trials, and final products. The research development model used is ADDIE, with the stages of analysis, design, development, implementation and evaluation. The population of this study were students of SMPN 4 Pagerwojo class VII with a total of 20 students. The sample is all students from the existing population. Data collection techniques used are interviews and questionnaires. The results show that animation-based animastra learning media is feasible to use with a percentage of 97% of media expert validation questionnaires and 82% of material experts and 87% of student response questionnaire percentages in the very good category. The conclusion in this study is that animation-based animastra learning media is feasible, effective and efficient to use and attracts students' interest in learning. Further researchers is suggested to use research results as input and innovation to create interesting unique learning media so that those students do not get bored is learning.
Detecting Fake Faces with AI: A Deep Neural Network Improvement Project

Forgeries created with deep face techniques have become increasingly common in several fields in recent years, including politics, education, and the democratic process, and as a result, many scholars are working on strategies to detect and prevent such forgeries. Since these programmes typically employ machine learning or fuzzy logic, accurate data classification is not something they can promise. However, it is common knowledge that forgery detection methods necessitate a shared, massive dataset, and that facial recognition systems benefit most from deep learning’s precision. Our suggested approaches make use of images and videos from the VGG-19 shared dataset, with genetic algorithm-based feature extraction and an improved convolutional neural network handling classifications for the trained datasets, respectively. A gaussian filter is used as preliminary processing on the VGG-19 common dataset.
Peningkatan Pemahaman Konsep Ciri-Ciri Khusus Hewan dengan Metode Take and Give di Kelas III SDN Sananwetan 2 Kota Blitar

To gain a comprehensive understanding of Indonesian language learning strategies and their effectiveness in achieving learning objectives, this research literature review will focus on (1) language learning, (2) Indonesian language learning strategies, including Indonesian language learning methods and techniques, and (3) learning outcomes. This study aims to improve the learning outcomes of third grade Indonesian at SD Negeri Sananwetan 2 Blitar City after the application of the Take and Give method. This type of research is classroom action research which consists of two cycles. The research subjects were 28 third grade students. Learning outcomes were collected by the test method. The data collected were analyzed by quantitative descriptive. The results of the study showed an increase in Indonesian language learning outcomes through the application of the Take and Give method for third grade students. It can be seen from the average percentage of learning outcomes obtained before group action reached 43% and individuals reached 36%. The Take and Give learning method is a learning method that has steps, which require students to be able to understand the subject matter given by the teacher and their peers.
PERANCANGAN SISTEM INFORMASI KELENGKAPAN REKAM MEDIS RAWAT JALAN MENGGUNAKAN VISUAL STUDIO DI RSKGM

This research aimed to identify the analysis of information system of the completeness medical record by using Microsoft Visual Studio at Dental and Oral Specialist Hospital. The research method uses qualitative methods with a descriptive approach. Data collection techniques used direct observation, online observation, and literature study. Method using Waterfall Model (Waterfall). Based on the author’s observation during this research problems which are found: (1) The completeness of analysis medical record of the hospitalization patient is not yet entirely computerized. (2) Incomplete medical records are still found. (3) Overdue the refund of medical record from a maintenance room into the medical record processing. As for suggestions to overcome problems in the complete system of road medical record at the Special Dental and Oral Hospital, namely: (1) it is necessary to integrated system and to effective more. (2) It is necessary to make the strict rules for officials negligent in the filling of medical record and also for the officer who are late to submit the inpatient medical record data processing to the medical record division. &#x0D; &#x0D; Keyword: Information System, completeness, Visual Studio
INVESTIGATING STUDENTS' ANXIETY IN CONDUCTING PROPOSAL SEMINAR AT ENGLISH DEPARTMENT OF UNIVERSITY MUHAMMADIYAH MAKASSAR

This study aims to determine the types and effects of anxiety and then investigate the causes and strategies to reduce speed in the seminar proposal exam. The method used is qualitative research. The population of this research is the students of Muhammadiyah University of Makassar in 2021/2022. The number of samples is 15 students. The instruments used in this research are observation and interview. This research was conducted for students in. in the English Department of Muhammadiyah Makassar University”. The qualitative approach used in this study. More specifically, this study uses a qualitative descriptive method. The data collection procedure is the distribution were the observation and interview. Researchers distributed observation were used to analyze data on the causes and strategies of dealing with students in the proposal exam. Meanwhile, from the interview system used to get more accurate data. The findings show that there are four causes of anxiety are (1) lack of confidence (2) lack of mastery of the material, (3) forgetting the material or blank, (4) lack of concentration. Furthermore, the researcher classified the strategies used by students to reduce their anxiety in the seminar proposal exam into several categories as follows: (1) Making Preparation (2) Taking Deep Breath, (3) Doing Physical Movement, (4) Peer Seeking, (5) Ignoring Audiences. and (6) Handling Paper or Script.
STUDENTS’ PERCEPTION ON ENGLISH E-LEARNING DURING COVID-19 PANDEMIC (Seventh Grade Student Junior high school 1 Bontonompo, Gowa)

The Purpose of this study is to find out how students’ perceptions of English E-Learning are reflected in their educational experiences. In other words, researchers are trying to find out whether students are still learning effectively or not using the E-Learning system during the covid-19 outbreak. The method used is descriptive qualitative method. This study was followed by 2 classes in class Seventh student junior high school 1 Bontonompo with a total of 20 students using observation and interview research instruments. Based on the results, the perception on students does not like learning using E-Learning, students prefer to learn face to face directly in class (offline) because students have various difficulties including students who do not understand how to use E-Learning, the limitations of the internet network and the ability to learn English is less improved compared to face-to-face learning in class.
FACTOR ANALYSIS OF STUDENTS' INTRINSIC MOTIVATION IN LEARNING ENGLISH

The objective of this research was to find out the factors that can influence students’ intrinsic motivation in learning English. This research was in descriptive quantitative method. The population of this research was the students of SMPN 2 Binongko, namely first grade. By applying simple random sampling technique, the sample of this research was 6 students from the first grade. Research instrument used for collecting the data was questionnaire. It consisted of 10 items about intrinsic motivation.The result showed that, in this research researcher analyzed factors that can influence students’ intrinsic motivation in learning English by intrinsic motivation is self-confidence that is owned by each students. The data students’ intrinsic motivation was 55.92% in the first grade.