Reviewerly/exHarmony huggingface dataset:
Interlanguage as An Oral Communication Strategy Used by The First Graders of The English Education Study Program of STKIP PGRI Pacitan

This study describes the communication strategies in English used by first-level students of the English Education Study Program at STKIP PGRI Pacitan which can be seen in their interlanguage production. The research data is in the form of interlanguge which they produce when performing oral communication. Data collection techniques are elicitation and documentation. Data were analyzed qualitatively. The results of the study show that there are three main types of communication strategies used by learners, namely: over-generalization, first language transfer, and simplification. This strategy is intended by students to maintain that communication using English as the target language can continue with the limitations of their language skills. The implication of this research is that mistakes are an inevitable process in the process of learning a foreign language, so it needs to be addressed positively. Appropriate training needs to be provided to learners so that they better understand the differences between the target language and their mother tongue so as to help them develop their interlanguage system.
Effectiveness of Implementing E-module Based on Contextual Teaching and Learning to Improve Learning Outcomes and Class XI IPS in SMA Negeri 1 Soe

Effectiveness of Contextual-Based E-Module Application Teaching And Learning To Improve Learning Activities, Learning Outcomes And Critical Thinking Ability Of Students In The Eyes Of Economics Students Class X I IPS SMA Negeri 1 Soe This research aims to determine the Effectiveness of The Application of E-Module Based on Contextual Teacing And Learning To Increase Learning Activities, Learning Outcomes andStudents' Critical Thinking Ability in ABPD and APBN materials in the Eyes of Economics Students Class X I I PS SMA Negeri 1 Soe. This research is a pseudo-experimental research with one-group pretest and posttest design research design. The experimental class was treated by applying an e-module model based on the contextual teaching and learning model while the control class was treated by applying a conventional learning model. Data analysis used the manova test with a significance level of 5%. The results showed that there was a difference in student learning activities in economics subjects between classes that did not apply contextual teaching and learning-based e-modules , there was a significant value of 0.0 16 or &lt; 0.05 and those that appliede-module Based on contextual teaching and learning, there is a significant value of 0.000 or &lt; 0.05.
Joint Detection and Decoding over Multipath Channels

&lt;p&gt;We use the sum-product algorithm (SPA) on factor graphs to enable joint detection and decoding over multipath channels in single-carrier modulation formats. We simulate the multipath channels as accurately as possible at the receiver side by discretizing channel parameters, such as channel paths and attenuation coefficients, to compute means of Gaussian observations. We assign these parameters Bernoulli random variables and consider priors of &lt;strong&gt;0.5&lt;/strong&gt; for them. We propose a novel implementation strategy to reduce the complexity of the receiver considerably. &lt;/p&gt;
SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING APPROACH : A Contemporary review

&lt;p&gt;Detecting defects in software at the bleeding edge of a software development life cycle is vital. Identifying defects before the deployment of software aids in delivering high-quality products, and reduces development costs. Machine learning techniques are deployed in the earlier stages of software development to improve software performance quality and decrease software maintenance costs. This study focuses on reviewing some papers published in software defect prediction using Machine learning techniques from 2020 to the current time to determine the predominance of machine learning methodologies adoption in software defect prediction. Google Scholar was used to source research papers for this study, and data was gathered from the publications. The process involves reviewing the selected papers, writing a concise synopsis of the papers, connecting and involving them where appropriate, reviewing existing methodology, and finally summarizing the findings. The result shows recent activities and trends in defect prediction research. This investigation will aid researchers in understanding the most recent and cutting-edge trends in software defect prediction research using machine learning techniques.&lt;/p&gt;
Pengembangan Lembar Kerja Peserta Didik Berbasis Problem Based Learning pada Muatan Pelajaran Bahasa Indonesia Sekolah Dasar

This study aims to develop and analyze the feasibility and effectiveness of student worksheets based on problem-based learning in the Indonesian language lesson content, theme 1, class V of elementary school. This study used the Research and Development (R&amp;D) method with the Brog &amp; Gall model. The subjects in this study were determined using a purposive sampling technique and obtained as many as 25 students in class V SDN 01 Setia Negara and Negara Batin. The instrument used in this study was a multiple-choice test instrument that had been tested for validity, reliability, discriminatory power, and difficulty level of the questions. The results of this study indicated that student worksheets based on problem-based learning were very feasible and effective to use. Test the effectiveness of using N-Gain with a calculation result 0.60 with independent test results t test sig. 0.01&lt;0.05. Based on this research, problem-based learning student worksheets on developed Indonesian language lesson content were feasible and effective for improving student learning outcomes on theme 1 class V of elementary school.
FENOMENA CORAT-CORET KELULUSAN SISWA; MEMBENTUK KARAKTER SISWA MELALUI KETERAMPILAN MENULIS

Character education is something that needs attention not only from educators, but broadly also the government and Indonesian society. Building national character means improving character education from an early age. That is, character education has an important role in shaping the attitudes and behavior of students especially when expressing themselves. Tradition of doodling done by students at graduation. This tradition is a form of deviation in the behavior of students in expressing themselves through language by scribbling on school clothes or walls in public facilities. Where character education can direct students to express themselves appropriately. For this reason, character education both at home and at school has a very important role in fostering and guiding students to express themselves. In conjunction, the phenomenon of scribbling itself is part of writing activities in language skills. However, it is the application and distribution of these writing skills that need to be directed so that they are appropriate and useful. Remember, writing activities are receptive and productive.
Real-World Chaos-Based Cryptography Using Synchronised Chua Chaotic Circuits

&lt;p&gt;This work presents the hardware demonstrator of a secure encryption system based on synchronised Chua chaotic circuits. In particular, the presented encryption system comprises two Chua circuits that are synchronised using a dedicated bidirectional synchronisation line. One of them forms part of the transmitter, while the other of the receiver. Both circuits are tuned to operate in a chaotic mode. The output (chaotic) signal of the first circuit (transmitter) is digitised and then combined with the message to be encrypted, through an XOR gate. The second Chua circuit (receiver) is used for the decryption; the output chaotic signal of this circuit is similarly digitised and combined with the encrypted message to retrieve the original message. Our hardware demonstrator proves that this method can be used in order to provide extremely lightweight real-world, chaos-based cryptographic solutions.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;This work was accepted for and presented as a hardware demo at the 2022 IEEE International Symposium on Hardware Oriented Security and Trust (HOST 2022), held from 27 to 30 June 2022, in Washington, DC, USA.&lt;/p&gt;
Pemanfaatan Media Proprofs sebagai Media Evaluasi Hasil Pembelajaran pada Materi Teks Tanggapan

Evaluation activities are activities that tend to be disliked by students because teachers usually use written tests in the form of multiple choices or entries with long descriptive text. These activities are considered more boring by students than learning activities, because they are required to focus and dwell on monotonous questions. One of the learning evaluation media options is Proprofs. This study aims to describe the utilization of the Proprofs platform as a medium for evaluating learning outcomes in class IX response text material at SMP Negeri 77 Central Jakarta. This study used a qualitative descriptive method through observation and questionnaire techniques with research subjects of class IX students at SMP Negeri 77 Central Jakarta, totaling 40 participants as questionnaire respondents and 10 participants who took the test with Propofs. The results of this study were that the mastery of the students who took the quiz was considered to be lacking in acceptance and understanding of the response text material and many of the students had not been able to achieve the KKM score that had been set. In utilizing and using the Propofs platform, students feel interested in using the Propofs platform as a fun learning evaluation medium.
TEACHER'S STRATEGY TO IMPROVING EARLY CHILDHOOD LANGUAGE SKILLS IN IT INSAN ROBBANI SIBUHAN KINDERGARTEN

The problem behind this research is improving teachers' learning strategies to enhance children's language proficiency. This study aimed to examine how teachers' techniques are used in the language development of TK IT Insan Robbani children. This study uses a descriptive, qualitative method. The data collection methods in this study are observational use and interviews. Data analysis techniques in this study are data reduction, data presentation, validation, and inference. The results of this study, which was found to be about teachers' strategies for developing children's language skills, explored teachers' direct communication methods, storytelling methods, visual media use, and checklist and anecdotal assessment of language development by providing.
Design and Development of Intelligent Logistics Tracking System Based on Computer Algorithm

The logistics industry has experienced significant growth alongside the progress of the social economy. In this research article, the aim is to create a sophisticated tracking system for the logistics sector by utilizing computer technology. The primary focus is on developing an intelligent inventory decision support system. The article introduces two key algorithms: one that detects the integrity of goods packaging and another that identifies the behavior and posture of goods using a three-dimensional acceleration sensor. Furthermore, the article describes the workflow of the system and provides a thorough design for implementation in a real cabin environment. To validate the effectiveness of the system, experiments are conducted, and its performance is evaluated. The continuous advancement of the logistics industry, driven by the growth of the social economy, has prompted the need for innovative solutions. This scholarly article aims to address this demand by proposing the development of an intelligent logistics tracking system empowered by computer technology. The primary objective is to create an intelligent inventory decision support system capable of optimizing inventory management processes. To achieve this, the article presents two crucial detection algorithms. The first algorithm focuses on assessing the integrity of goods packaging, ensuring that goods remain intact throughout the logistics journey. The second algorithm leverages a three-dimensional acceleration sensor to analyze the behavior and posture of goods during transportation. The article also provides a comprehensive overview of the system's workflow, detailing the various steps involved. Furthermore, to validate the practical applicability and efficiency of the system, a detailed design is executed in a real cabin environment. Through rigorous experimentation and performance evaluation, the article aims to ascertain the effectiveness of the proposed system in enhancing logistics operations.
Development of Test Instruments in Substance Pressure to Measure Student's Numerical Literacy Ability

The purpose of this study was to develop an instrument test to measure student's numeracy literacy skills on substance pressure and its application. The research was conducted using the Research and Development (RD) development method trough the ADDIE research design (Analysis, Design, Development, Implementation, and Evaluation) through several stages, namely curriculum analysis, content analysis, context analysis, and determining instrument framework, instrument development, pilot testing instrument and item analysis of the instrument. The trial was conducted on a sample determined by a random sampling technique. The item analysis of the instrument includes item validity test, item reliability test, item difficulty level, and item discriminatory power. The results of this study were the test instrument of numeracy literacy in the form of multiple-choice questions with 18 reliable questions with a reliability coefficient of 0.903. Based on the validity test, there are 5 questions with moderate validity category, 10 questions with high validity category, and 3 questions with very high validity category. Based on the results of the discriminatory power test and the level of difficulty of the questions, it was obtained that all questions had distinguishing power in the good category with the difficulty level of the questions in the easy, medium, and difficult category are 1, 13, and 4 questions, respectively. Therefore, it can be concluded that the numerical literacy test instrument on the substance pressure material and its application can be used as a test instrument to measure student's numeracy literacy skills.
Application of Pocket Media Letters Against Fine Language And Motor Ability In Early Childhood

&lt;span&gt; The purpose of this study was to describe the application of letter pocket media to the language skills and fine motor skills of children at the build Peureulak State Kindergarten. This research is a descriptive qualitative type with data collection techniques of observation, interviews and documentation. Researchers made observations at the build Peureulak State Kindergarten with the research subjects there were 10 children aged 5-6 years and 6 teachers at the Peureulak Pembina State Kindergarten. The results showed that pocket letter media could improve children's language skills and fine motor skills.&lt;/span&gt;
Pelatihan Strategi Penulisan Artikel Ilmiah untuk Publikasi di Jurnal Internasional Bereputasi Tinggi bagi Periset BRIN

The problem that underlies this PkM activity is the lack of optimal competence of BRIN researchers in writing scientific articles for publication in reputable international journals. For this reason, this PkM activity aims to provide training on strategies for writing scientific articles for publication in reputable international journals. The method used is in the form of training and mentoring for BRIN researchers. The training is carried out online (online) through the zoom application, while discussions and consultations (assistance) are also carried out online through the Whatsapp application. This activity is carried out in four stages, including; preparation stage, implementation stage, discussion and consultation stage, and evaluation stage. Based on the results and discussion, it is shown that the trainees still experience problems in publishing scientific articles. Based on discussions and consultations, participants have high enthusiasm to be able to carry out quality research and publish in reputable international journals. Through this PkM activity, it is hoped that it will increase the capacity of BRIN researchers in writing quality scientific articles for international publications.. Keywords: publication strategy, scientific articles, community service
The role of knowledge management on learning organization capacity and job performance

In the digital era, knowledge becomes the main asset to win the competition. However, the management of knowledge that is less than optimal makes the targets set by the company's management cannot be achieved. This indicates that HR performance in utilizing Knowledge Management is still not optimal. This study aims to examine and analyze the influence of Tacit Knowledge and Explicit Knowledge on Job Performance through Learning Organization Capacity. The population in this study is a building material manufacturing company in Central Java, with a sample of 100 respondents. The sampling technique used in this study was purposive sampling and data analysis used PLS. The results showed that Tacit Knowledge and Explicit Knowledge had a positive effect on Learning Organization Capacity and also, Knowledge Management and Learning Organization Capacity had a positive effect on Job Performance.
MAPPING STUDENT LOG FILES WITH K-MEANS CLUSTERING

One of the important characteristics of an e-learning platform is that students can take the course at any time, and they are not required to complete all the available learning activities at one time. In moodle, data logs are valuable information that contains activities from course users and course teachers. The data recorded in the moodle data log can be in the form of activity data, assignment time (assignment timestamp), and ranking value or final grade (grade). Data log exploration of educational data mining can be used to facilitate monitoring and see what activities are often carried out by course participants on the moodle platform. One of the techniques used in data mining log data analysis is cluster analysis. Cluster analysis is the process of grouping data into groups whose members have similar characteristics. K-means Clustering is one of the algorithms of cluster analysis that is often used. Based on the output, it can be noted that the members of cluster 1 are students with ids 1,3,4,5, and 9. Then for cluster 2 is the student with id 2,8,10,12 which on cluster 2 the average student click is highest,. and the last cluster 3 is filled by students with ids 6, 7, and 11. It can be concluded that the second cluster is a collection of students who are active in accessing the LMS during learning.
Investigation of IR Reflective Coating for Plexiglas Canopy

Purpose: Solar energy is necessary for our global ecosystem. In certain times and parts of the world, the heat generated from the energy of the Sun becomes uncomfortable for us and we need to use additional energy to cool down the generated heat from the Sun. This additional energy usage is detrimental to our environment due to generation of air pollution and use of our natural energy resources. The purpose of this paper is to investigate prevention of undesired generation of heat by the Sun using reflective coating materials.&#x0D; Methodology: In this study, using literature review, Ga doped Zinc Oxide (GZO) is theoretically investigated as a visible light transparent and infrared reflective coating material for the Plexiglas canopy of a solar car. The effect of doping concentration and film thickness is reviewed and discussed. Indium Tin Oxide (ITO) is also studied, using various literature reviews, as an infrared reflective coating material that is transparent in the visible light region. Finally, a spectrophotometer was used to examine the optical properties of a Plexiglas, slide glass, and ITO coated glass, and the results of UV and visible light transmittance measurement of the three materials is presented and discussed.&#x0D; Findings: GZO and ITO films both have high transparency in the visible region of the solar spectrum and high reflectivity to IR radiation starting from 1500 nm to higher wavelengths. None of these films completely reflect the IR radiation with wavelengths in the range of 700 nm to 1500 nm which contribute to generation of heat most. Many factors such as doping concentration and thickness of the films affect reflectivity of the films due to their effect on shifting the plasma frequency. Increasing doping concentration and thickness of the GZO films until a certain threshold improves IR reflectivity of GZO films, but it was not possible to precisely formulate these factors within this study. Reducing the particle size in nanoparticle ITO film improves transmittance of the film in the visible light region and its reflectance in the IR region. The measurement results showed that Plexiglas and glass have a high transparency to visible and near IR radiation.&#x0D; Recommendations: Further investigation and experimentation is recommended to fully understand and formulate doping concentration and film thickness of GZO and ITO to achieve optimal IR reflectivity within the 700 to 1500 nm wavelength region while maintaining visible light transparency. In regards to ITO coating, reduced nanoparticle size is recommended to improve the desired visible and IR transparency and reflectivity of the film. Although GZO and ITO coatings’ doping concentration and thickness to achieve IR reflectivity within the 700 to 1500 nm wavelengths is not well understood in this study, to reduce heat generation they are still recommended as a coating material due to their reflectivity to IR with wavelengths of above 1500 nm which also play a role in generation of heat.
YOGA POSE DETECTION USING OPENPOSE AND MEDIAPIPE

An abstract i.e. idea behind this yoga pose detection project using deep learning or neural network learning is that yoga popularity is increasing day by day because of its benefits. Doing yoga helps us physically, mentally as well as spiritually. Because of this many people nowadays are doing it regularly. The main idea of this project is to help the people to recognize which yoga pose they are doing with the help of this detection technique. Yoga which involves 8 rungs and limbs of it, which includes Yama, Niyama, Asana, Pranayama, Dharana, Dhyana and Samadhi. To easily help people understand which pose they are performing via images, video recording by classifying it, we are implementing this project because of this people will incline towards doing more as they will get help to identify which pose they are doing very easily. Key Words: CNN, Deep learning, Feature Extraction,Yoga Pose Detection, openPose , mediaPipe
IMAGE INPAINTING USING MACHINE LEARNING

This project features a user-friendly method for person remover from images where the user has control of which object to remove. Our system removes only one object i.e person. However, it is capable of removing multiple persons through repeated application. Our model learns to detect the person in an image using the yolo algorithm. Then, the second stage removes the person in the image and fills the space with neighbouring pixels using the pix2pix concept. We show that by using this integration, the proposed network can learn a well-incorporated structure and also overcome the problem of visual discrepancies in the affected region of the image.
The Decision Tree Algorithm Use in Supervised Machine Learning

Machine learning concept is handling the dataset and it is used to analyze the data recently machine learning is highly demanding approach, because of that machine learn itself like human without explicitly programmed it help to make faster decision with this dataset Machine learning is also handle computational data by using various type of algorithms, in this paper only focus the decision tree algorithm that is used in machine learning to take quick decision once analyze the problem. it predicts the output which is much faster. Key Words: Machine learning, Supervised, Decision Tree, and Regression.