Reviewerly/exHarmony huggingface dataset:
Assessing Professional Development Training for Library Leader Candidates

Library, as a place holding pivotal roles to support instructions at schools, should be led by a competent and qualified leader. The present research is purposefully conducted to assess the training program intended for school library leader candidates. Qualitative method was employed by the implementation of CIPP (Context, Input, Process and Product) model. The data were collected through observations, interviews and document analysis. Snowball sampling technique was utilized to choose the research participants. The participants involved in this research were the head of assurance council, the head of training program, and the training partners. The present research indicates the following findings. Generally, the training is regarded as successfully implemented. To be more specific, 1) context evaluation assesses legal standing, objectives, and target of the training; 2) input evaluation assesses resource of the training; 3) process evaluation assesses trainee recruitment, teaching and learning process, and monitoring-evaluation of the training; and 4) product evaluation assesses cognitive, affective and skill domain of the trainees. The present research implies program segmentation for each level of education due to different problems encountered in reality. Training resource aspect also needs special attention.
Effects of COVID-19 Experience on Physical Activity and Functional Status in Daily Life

To achieve the purpose of this study, a total of 300 adults in their 20s and 30s, who are confirmed and non-confirmed with COVID-19, were surveyed using a structured questionnaire from June 10 to July 10, 2022.Data analysis analyzes the general characteristics of the study subjects, Frequency analysis was conducted to find out the amount of physical activity and daily life function status of confirmed and non-confirmed patients, By conducting cross-analysis, the difference in physical activity and daily life function status of confirmed and non-confirmed patients was conducted by the Independent t-test and one-way ANOVA, The correlation between the amount of physical activity and the functional state of daily life was analyzed by Spearman correlation coefficient.The analysis results are as follows.First, depending on the presence or absence of COVID-19, non-confirmed patients showed relatively higher job-related physical activity than confirmed patients.Second, when comparing the functional status of daily life of non-confirmed patients, the score of non-confirmed patients was higher.Third, there was a positive correlation between the amount of physical activity of the confirmed and non-confirmed patients and the state of daily life function.Therefore, a study found that the presence or absence of COVID-19 confirmed has a significant correlation with the amount of physical activity and the functional status of daily life, This study compares the amount of physical activity and daily life function status of COVID-19 confirmed and non-confirmed adults in their 20s and 30s, suggesting useful information for Korean adults recovering from a long-running pandemic in the future.
Emerging Technologies and Innovative Education in Secondary Schools for Job Creation in Anambra State, Nigeria

The study which assessed emerging technologies and innovative education in secondary schools for job creation in Anambra State, Nigeria was guided by two research questions adopted descriptive survey research design. The population of the study consists of all the teachers in the 264 secondary schools numbering about 4,370. Cluster random sampling technique was used to select 1,504 teachers for the study. The instrument was self-designed and entitled “Emerging Technologies Innovative Education Questionnaire” (ETIEQ). The validity of the instrument was ensured. Test retest method was used to ascertain the reliability of the instrument and the scores were subjected to Pearson Moment Correlation Coefficient which gave rise to 0.79 which is adjudged reliable. Simple percentage was used for data analysis to answer the research questions. The findings revealed but not limited to: that teachers in secondary schools are not aware of some of the essential emerging technology tools. It is therefore recommended among others that the government and other relevant authorities should expedite action and begin awareness campaign by installing these facilities to schools for use to enable the recipients be job creators and self-reliant upon graduation in many entrepreneurship enterprises thus a greater Nigeria.
USER SATISFACTION ANALYSIS OF GOJEK APPLICATION USING END-USER COMPUTING SATISFACTION (EUCS)

At the first time, Gojek application is the online transportation services, but now it has various services. Online transportation services in the Gojek application are GoRide and GoCar. Analysis of application performance can be done to determine the user satisfaction. The aim of this research is to analyze the Gojek application user of satisfaction, especially GoRide and GoCar online transportation services. This research consists of 3 steps. The steps are making research model and adopting questionnaire, validity and realibility test and data analysis. Evaluation is done using 5 dimensions of End User Computing Satisfaction (EUCS). It consists of content, accuracy, format, easy of use and timeliness. In addition, the demographic factors of the respondents were also added, namely gender, age and occupation. There are 100 respondents in this research. The result of this research are the user satisfaction of Gojek application, especially GoRide and GoCar, can be categorized as very satisfied. The dimensions of EUCS and demographic factors have positive affect to user satisfaction. Gojek application can develop by increasing the accuracy of information and timeliness.
A Note on Quantum Gates SWAP and iSWAP in Higher Dimensions

We present explicit descriptions for the swap gate and the iswap gate in any arbitrary dimension $d \geq 2$, in terms of permutation matrices. Moreover, we unify these gates by introducing a more general gate xSWAP which includes SWAP and iSWAP for $x=1$ and $x=i$ (i.e. $\sqrt{-1}$), respectively. The higher dimensional xSWAP e.g., the swap and iswap gates for $d &gt; 2$ serve as quantum logic gates that operate on two $d$-level qudits. For $d=2$, it is well known that iSWAP unlike SWAP is universal for quantum computing. We will prove this fact for xSWAP in any dimension $d$, when $x \neq \pm 1$. Our explicit representation of xSWAP by a permutation matrix facilitates the proof, greatly.
Image Impulse Noise Reduction Using a Conjugate Gradient of Alternative Parameter

Conjugate gradient approaches emphasise the conjugate formula. This study creates a new conjugate coefficient for the conjugate gradient approach to restore pictures using Perry’s conjugacy condition and a quadratic model. Algorithms have global convergence and descent. The new technique performed better in numerical testing. The new conjugate gradient technique outperforms the FR method. The new technique performed better in numerical testing. The new conjugate gradient technique outperforms the FR method.
A Study on the Effects of Picture Book Production Activities Using the On-line Platform in Elementary School English Class

The purpose of this study is to analyze the effectiveness of picture book production activities using on-line platforms in elementary school English class, one of the various ways to cultivate the core competencies pursued in English subjects.For this purpose, the study problems set for this are as follows: First, What is the teaching-learning model of picture book production activities using on-line platforms available in elementary English education?Second, How does the picture book production activity class using the on-line platform affect the vocabulary and affective attitude of elementary English learners?As a research method, 52 students in two classes in the fourth grade of elementary school were participated for 11 weeks, and the experiment was conducted by dividing them into picture book production groups and picture book non-production houses.The study results are as follows.First, in consideration of the English level of elementary school students, the class stage of picture book making using an online platform was divided into "story making" and "online production" to read various expressions for story making first.Second, production of on-line picture book helped students improve their ability to acquire short-term vocabulary.Students improved their vocabulary by making on-line picture books.Third, on-line picture book production helped improve the ability to acquire longterm vocabulary.Forth, on-line picture book making activities had a positive effect on the affective attitude.Students were interested in making their own picture books and actively engaged in the process of finding expressions, looking for suitable pictures, and appreciating other friends' picture books.
Robust Attendance System using RFID and Human Detection by Image Processing

Schools and university administrations pay a lot of attention to the attendance of their students since it relates directly to the academic performance. Many systems have been developed in order to ensure an accurate attendance taking, but every system has its shortcomings in terms of ease of use, accuracy, privacy, or cost. In this paper we discuss the development of an automated attendance system that ensures accurate attendance taking without human intervention from the student or the teacher and with respecting their privacy and no interruption.&nbsp; In this system we used RFID technology to identify the student and then verify the attendance using image processing algorithm utilizing the camera system in the classrooms. Under testing the system proved to be accurate and sensitive to the situation in the classroom. The automation was successful in producing attendance results that can be used by the administration to make decisions.
Campur Kode dalam Diskusi Mahasiswa Semester IV Program Studi Pendidikan Bahasa Indonesia FKIP Universitas PGRI Palembang

This research examines code mixing in student discussions during the fourth semester of the Language Education Study Program at PGRI University, Palembang. Code mixing involves the use of a main code alongside other codes that lack function or autonomy. Descriptive methodology is employed, using fourth-semester students as participants. Data analysis employs the intralingual equivalent technique, while data collection involves observation and recording. Results indicate that the highest percentage of code mixing (6.1%) occurs in the first recording, with 64 instances out of 1056 words. The lowest code mixing percentage (3.2%) is found in the fifth recording, with 15 instances out of 463 words. Overall, code mixing percentages for subsequent meetings range from 4.2% to 5.9%. This study sheds light on code mixing patterns in student discussions, contributing to language education research.
Peningkatan Keterampilan Menulis Teks Eksplanasi melalui Metode Pembelajaran Mind-Mapping di SMP Negeri 1 Sokaraja

The purpose of this study was to improve the learning outcomes of class VIII students in writing explanatory texts through the Mind-Mapping learning method. Learning outcomes can be achieved in accordance with learning objectives through the role of educators in developing interactive learning tools. The Mind-Mapping learning method is an interactive method that can improve students' explanatory text writing skills. The application of the Mind-Mapping method at SMP Negeri 1 Sokaraja through classroom action research includes four steps, namely: (1) planning; (2) action; (3) observation; and (4) reflection. The results of this study indicate an increase in student learning outcomes in the skills of writing explanatory texts in pre-cycle, cycle I, and cycle II. The 8 aspects of the assessment have increased from the pre-cycle stage to cycle II. The average ability of students to write explanatory texts in pre-cycle was 5.5, cycle I was 7.12 and cycle II was 8.62. The application of the Mind-Mapping learning method can be an alternative in improving the ability to write explanatory texts in class VIII students.
Determining Eligible Villages for Mobile Services using K-NN Algorithm

To maximize and get population document services closer to the community, the Disdukcapil district of Alor provides mobile services by visiting people in remote villages which difficult-to-reach service centres in the city. Due to a large number of villages and limited time and costs, not all villages can be served, so the kNN algorithm is needed to determine which villages are eligible to be served. The criteria used in this determination are village distance, difficulty level, and document ownership (Birth Certificate, KIA, family card, and KTPel). The classes that will be determined are "Very eligible", "Eligible", and "Not eligible". By applying Z-Score normalization with the value of K=5, the classification gets 94.12% accuracy, while non-normalized only gets 88.24% accuracy. Thus, applying normalization to training data can improve the kNN algorithm's accuracy in determining eligible villages for "ball pick-up" or mobile services.
Penguasaan Kosakata Bahasa Indonesia Siswa SD Ditinjau dari Aspek Kelas Kata: Studi Kasus pada Tiga Sekolah Dasar di Kota Ternate, Provinsi Maluku Utara

This paper examines the vocabulary mastery of Indonesian elementary school students in the city of Ternate. The problem in this study is formulated in the question, how is the mastery of Indonesian vocabulary by elementary school students in Ternate city? This study aims to determine the vocabulary mastery of Indonesian elementary school students in the city of Ternate, North Maluku Province. The method used in this study is the survey method, which is a research method that takes samples from the population and collects data through questionnaires as the main data collection tool. The findings obtained in this study are that the level of mastery of Indonesian vocabulary by elementary school students in Ternate is classified in the poor category. On average, elementary school students in Ternate do not master Indonesian vocabulary. In this study, there are seven aspects of word class as seen from the level of vocabulary mastery, namely nouns, verbs, adjectives, prepositions, adverbs, pronouns, and numerals. If viewed from the word class, the mastery of Indonesian vocabulary in the categories of prepositions, adverbs, and pronouns is quite mastered by elementary school students, while the mastery of vocabulary in the categories of nouns, verbs, adjectives, and numerals is not mastered by elementary school students.
Pengaruh Kebiasaan Menonton Tayangan My Trip My Adventure terhadap Kemampuan Menulis Pengalaman Pribadi oleh Siswa SD Tarbiyah Islamiyah Hamparan Perak

This article aims to determine the influence of the habit of watching My Trip My Adventure on students' ability to write personal experiences at SD Tarbiyah Islamiyah Hamparan Perak in the 2016–2017 academic year. The population of this study were all students of SD Tarbiyah Islamiyah Hamparan Perak consisting of two classes with a total of 76 people. The results of the ability to write personal experiences without the habit of watching My Trip My Adventure shows for students of Tarbiyah Islamiyah Hamparan Perak Elementary School, namely 2.6% (1 person) got the very good category, 57% (22 people) got the good category. enough category, and 22% (8 people) got the enough category, and 18.4% (7 people) were in the less category. The results of the ability to write personal experiences with the habit of watching My Trip My Adventure shows students of SD Tarbiyah Islamiyah Hamparan Perak have an assessment proportion of 13.2% (5 people) getting very good category, 39.5% (15 people) good category, 21.1% (8 people) moderate category, 21.1% (8 people) less category, and 5.26% (2 people) very less category. Based on the results of the hypothesis test, it shows that there is an influence from the habit of watching My Trip My Adventure on the ability to write personal experiences of SD Tarbiyah Islamiyah Hamparan Perak students. After obtaining the tcount value, then it is compared with ttable at a significant level ? = 0.05% with dk = N1 + N2 – 2 = 74. Based on the calculation results obtained ttable = 1.992. Thus, it can be seen that tcount&gt;table is 8.357 &gt; 1.992.
A STUDY PAPER ON ERROR CORRECTING OUTPUT CODE BUILD ON MULTICLASS CLASSIFICATION

Error-correcting output codes is a technique for using binary classification models on multi-class classification prediction tasks. Error-Correcting Output Codes (ECOC) represents a successful framework to deal with these kinds of problems. Recent works in the ECOC framework appear notable performance improvements. The ECOC framework is a high-level tool to deal with multi-class categorization problems. As the error correcting output codes have error correcting ability and improve the generalization ability to base classification. This library contains both modern coding (one-versus-one, one-versus- all, dense-random, sparserandom, DECOC, forest- ECOC, and ECOC-ONE) and decoding designs (hamming, Euclidean, inverse hamming, laplacian, β-density, density, attenuated, lossbased, probabilistic kernel-based, and loss weighted) with the framework defined by the authors, as well as the option to include your own coding, decoding, and base classifier.
PRACTICAL CLASSIFICATION TEMPLATE FOR DATASETS IN MACHINE LEARNING

In this work, different Machine Learning (ML) algorithms are used and evaluated based on their performance of classifying peer reviewed content of the dataset provided. The ultimate objective is to extract meaningful information from the classification of the given dataset. In pursuing this objective, the ML techniques are utilized to classify different datasets into: Validation Dataset and Test Dataset. The ML techniques applied in this work are Logistic Regression, Support Vector Machines, Naïve Bayes, Linear Discriminant Analysis, KNearest Neighbor, and Decision Tree. In addition to the description of the utilized ML algorithms, the methodology and algorithms for classification using the aforementioned ML techniques are provided. The comparative study based on six different performance measures suggests that - with the exception of Support Vector Machines algorithm - the proposed ML techniques with the detailed pre-processing algorithms may or may not work well for classifying the iris flower dataset.
Meningkatkan Keterampilan Membaca Peta Siswa Melalui Permainan Pemilahan Kartu

The purpose of this class action research is to improve the ability to read a map at through the card sorting game. Setting and subjects of this study is the number of 29 students. The procedure of this study was conducted in two cycles, each cycle consisting of planning, action, observation and reflection. Data retrieval test in the form of map reading ability test and non-test the form of observations, interviews, journals students. The achievement of the cycle in dapata the ongoing research process is on Prasiklus I achieve value - average 62.0. In Cycle I achieve value-average 64 and in the second cycle value-average which achieved 75.2. The results showed that after participating in learning to read maps of Tangerang District with a card sorting techniques, the average value obtained by students has increased significantly. Improving the ability of students, followed by behavioral changes from negative to positive.
Pengembangan Media Interaktif pada Materi Menulis Teks Puisi Siswa Kelas X SMA Al-Washliyah Pasar Senen Medan

&#x0D; &#x0D; &#x0D; &#x0D; The purpose of this study was to find out how the development of interactive media, the feasibility of interactive media in writing poetry text materials to increase the motivation of the students of class X of SMA Al-Washliyah Pasar Senen Medan. This research is a type of research and development using Borg and Gall development model. The steps taken in this development research are: research and collection, planning, draft or product development, initial field trials, revising test results, field trials, final product improvements. The population and the research sample were 23 students. The results showed that the product development was declared feasible based on the results showed that that material expert I gets the “Eligible” score criteria with a percentage (80%) and the material expert II gets the “Enough Eligible” criteria (64%), the results of the media expert assessment I gets the value criteria “Very Eligible” with a percentage (86%) and media expert II gets the criteria for “Eligible” with a percentage (80%). Field implementation test with 23 students of class X SMA Al-Washliyah Pasar Senen Medan gets the criteria of “Very Eligible” with a percentage (90%) and the terachers gets the criteria of “Very Eligible” with a percentage (94%).&#x0D; &#x0D; &#x0D; &#x0D;
A novel approach of surveillance video indexing and retrieval using object detection and tracking

The problem of searching videos in large databases i.e. multimedia applications is a major challenge. Therefore, video indexing is used to search the location of the particular video in a large database quickly. Quickly locating the video in the large database is the good quality of indexing. Still, there is a scope of improvement in quickly searching a video in a large database in terms of assigning labels to video. In computer vision, real-time object detection and tracking is a gigantic, vibrant yet indecisive and intricate area. You only look once (YOLO) algorithm is used to detect the object and background subtraction is used to track the object. In this paper, video indexing using object detection / tracking can be performed on single object in a video. In future, video indexing can be performed on multiple objects in a video.
Analysis of Stroke Classification Using Random Forest Method

Stroke is a disease in which the sufferer experiences or experiences a rupture of a blood vessel in the brain so that the brain does not get a blood supply that provides oxygen. Patients who suffer from stroke will experience cognitive disorders ranging from decreased consciousness, visuospatial disorders, non-verbal learning disorders, communication disorders, and reduced levels of patient attention. Data from the World Stroke Organization shows that there are 13.7 million new stroke cases every year, and about 5.5 million deaths occur due to stroke. This research aims to analyze the attributes of any variables that affect the classification of strike disease and to test the performance of stroke classification in the form of accuracy, precision, recall, and f-measure. The method used is a random forest using a tree, namely 50, 100, 200, and 500. The classification of stroke is divided into stroke and no stroke. The data used is 5110, divided into 70% training data and 30% testing data. The results showed that the performance of a random forest using 100 trees was better than using 50, 200, and 500 trees, with an accuracy value of 86.82%, a precision of 15.76%, a recall of 38.15%, and an f1-score 22.30% after doing SMOTE.