Reviewerly/exHarmony huggingface dataset:
Implementasi Jambord Dalam Meningkatkan Motivasi Belajar Daring

The purpose of this study is to examine the implementation of jamboard in increasing students' learning motivation.The use of interactive learning media in online learning is crucial.The role of learning media is very important to support the achievement of successful teaching and learning proses.The research method used is descriptive qualitative.By using a qualitative approach, the researchers can understand, observe, analyze, and examine the implementation of jamboard in increasing students' learning motivation.The results of the research findings are as follows: a) Jamboard application can improve student motivation which is manifested in better interactions during learning activities, b) Jamboard application can improve student learning achievement, c) foster students' extrinsic motivation towards learning activities.
Pengaruh Media Pembelajaran Berbasis Powerpoint terhadap Motivasi Belajar Siswa SMA Katolik Don Bosco Lembean

This paper is the result of a review of research conducted at Don Bosco Lembean Catholic High School by measuring how much influence the use of powerpoint-based learning media has on students' learning motivation. The method used is a quantitative research method. The results of the study found that the use of PowerPoint-based learning media at Don Bosco Lembean Catholic High School obtained a score of 0.80 so it was in the VERY GOOD category. The learning motivation of Don Bosco Lembean Catholic High School students obtained a score of 0.80 so it was in the VERY GOOD category. Judging from the results of a simple linear regression analysis, the value of the coefficient of determination (R square) which is a measure of how much influence PowerPoint-based learning media has as a variable X on variable Y, namely student learning motivation at Don Bosco Lembean Catholic High School is 0.440 with a significance of 0.000. PowerPoint learning media contributes 44% to student motivation at Don Bosco Lembean Catholic High School and 56% is influenced by other factors.
Challenges on Teaching and Learning English for Specific Purposes (ESP) for Indonesian Undergraduate Students

This study examined the challenges both teachers and students in implementation of teaching and learning ESP. It focuses on mastering English in students’ needs relating to the specific fields. This used a qualitative study obtaining data from questionnaires and interviews. The findings showed that the students’ vocabulary mastery was an obstacle during learning ESP. It made the students felt difficult to comprehend the materials. Moreover, the teachers are supposed to prepare the ESP materials from textbooks and articles relating to the specific fields although there were lack of sources. However, learning ESP applied the students-centered activities and built an interaction between teachers and students during discussing and practicing the ESP materials. It encouraged the students to be active for their speaking skill improvement. It also assisted the students to enhance new vocabularies relating to the specific fields. Therefore, to achieve students’ comprehension in ESP, the teachers should develop ESP materials and method of teaching in order to deliver optimally the ESP contents.
Performance Comparison of Deep Learning Models for Computer Generated Image Detection

With the advancement in digital image processing technology, there is a huge proliferation of computer-generated images. They are widely used in interactive games, film industry and cartoons. Computer-generated images are photo-realistic because they are created using complex algorithms and high-end graphics processing power to accurately mimic real-world objects and environments’ lighting, textures, and colors. Since computer-generated images are more realistic, even human eyes can barely distinguish them. So verifying image authenticity and differentiating computer-generated images from photographic images are inevitable. This paper investigates the performance of different deep learning models for detecting computer-generated images. We experiment on three datasets: DSTok, Columbia PRCG and Rahmouni. Experimental results show that the hybrid Xception ensemble outperforms the state-of-the-art methods and achieves the highest accuracy, precision, recall, F1 score and specificity on three benchmark datasets.
Collaborative Implementation of Person-Centered ITP Operation of a Professional Learning Community on Post-Secondary Program for Vocational Education in Special School

Purpose: The purpose of this study is to reveal the practical meaning by examining in detail the process of establishing and implementing an individualized transformation education plan based on the philosophy of person-centered planning through cooperative practice using a specialized learning community on post-secondary program for vocational education in special school. Method: For a total of 10 months from April 2020 to February 2021, the collaborative implementation research method using the professional learning community is not applied, but the data collected in the implementation process are analyzed using considerable analysis procedures, and the four upper categories and It consisted of 12 individual subcategories, 28 meanings. Results: 1) Laying the basis for practicing individualized transformation education reflecting the individual-centered plan through cooperation between teachers. 2) Improving vocational rehabilitation and independent living skills of students participating in the study by operating a curriculum reflecting the individual-centered plan. 3) Curriculum reflecting the ITP. 4) The educational effect of ITP is enhanced when students, teachers, and parents are together. Conclusion: Based on these research results, Basic information and implications for ITP implementation were presented.
A Study on the Estimates of Financing for Early Childhood Education and Care (ECEC) Integration

The main purpose of this study is to estimate the fiscal size of early childhood education and care (ECEC) integration. To do this, this study estimated the current fiscal size of ECEC, and based on the estimation results, the fiscal cost of integrating ECEC was estimated in two ways: based on previous studies and based on standard unit cost of early childhood and standard unit cost of infant care.&#x0D; The study estimated the total size of ECEC financing as of 2022 was estimated to be KRW 19.34 trillion. Estimating the size of the fiscal size of ECEC integration based on previous studies, it was estimated that an average of about KRW 8 trillion would be required annually for five years starting in 2023. Based on standard unit costs, an annual estimate of KRW 741.8 billion could be generated over the five-year period from 2023. However, when considering the proposed increase based on the appropriate level of ECEC, it was found that a 10% increase would cost an average of KRW 1.92 trillion per year from 2023, and a 15% increase would cost KRW 5.75 trillion. Based on the findings of the study, implications for the establishment and financing of a special account for supporting ECEC are presented.
High frequency architecture of SLIM lightweight block cipher for resource-constrained IoT applications

IoT, RFID and WSN environments are vulnerable to several security attacks. The major concern with these systems is their inability to provide appropriate protection against those attacks in constrained environments. Most algorithms developed using contemporary techniques are for sophisticated devices which demand power, memory, and huge computing resources. The use of lightweight cryptographic algorithms is one of the best ways to safeguard our data in such situations. SLIM is one such lightweight block cipher that operates on a 32-bit block and is based on a Feistel structure using an 80-bit key for its encryption algorithm. This paper proposes a pipelined architecture of SLIM which is suitable for use in constrained RFID and IoT ecosystems where the data packets are typically in the range of a few bytes. The FPGA results of the proposed architecture on multiple device families have demonstrated a substantial increase in the performance over the existing ciphers in the literature. The proposed architecture surpassed TEA on the Virtex-7 by 25.14%, LEA on Virtex-5 by 48.82%, TEA-I and Hummingbird on Spartan-3 by 60.35% and 220.06% respectively in terms of the maximal operational frequency.
Differentiated Instruction in Improving Senior High School Students’ Reading Comprehension Level

This research investigated the effectiveness of using differentiated instruction (DI) on grade 11 senior high school students’ reading comprehension throughout the academic year 2021–2022. It aims to identify the reading comprehension levels of the control and experimental groups in the pre-test, and post-test gained results, determine whether there is a significant difference in the reading comprehension levels gained from the control and experimental groups, and pinpoint the benefits and drawbacks of using this strategy. A quasi-experimental was used as a method to carry out the investigation. 142 senior high school students in Grade 11 from UPT SMA Negeri 3 Takalar served as the respondents. The results from the pre-test and post-test, an observation in the classroom, the survey, and the researcher's notes are used as the data sources. The basic method of understanding, synthesizing, interpreting, and re-analyzing was used to describe the qualitative data in order to decide common topics. Strengths and disadvantages of DI were identified based on observations made in the class, the survey, and the reflection. Statistical analysis showed a substantial difference between pre-test results and post-test results despite the observed and experienced difficulties.
A Survey on Image Denoising Techniques

The primary objective of image denoising is to suppress or discard noise or distortions from a noisy image. Images may become noisy during various processes such as image acquisition, compression, etc. Noise present in images degrades its quality; hence different techniques have been developed to successfully remove noise, without affecting image features. Therefore, image denoising is a very important task in the area of image processing. In this paper, various image denoising techniques have been explained, that have been prominent in recent times. Also, the different metrics used to evaluate these denoising models, and the loss functions that have been used in these models are also being discussed.
Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection

Software vulnerability detection (SVD) aims to identify potential security weaknesses in software. SVD systems have been rapidly evolving from those being based on testing, static analysis, and dynamic analysis to those based on machine learning (ML). Many ML-based approaches have been proposed, but challenges remain: training and testing datasets contain duplicates, and building customized end-to-end pipelines for SVD is time-consuming. We present Tenet, a modular framework for building end-to-end, customizable, reusable, and automated pipelines through a plugin-based architecture that supports SVD for several deep learning (DL) and basic ML models. We demonstrate the applicability of Tenet by building practical pipelines performing SVD on real-world vulnerabilities.
Analisa dan Implementasi VPN Dinamis Menggunakan Hamachi Pada PT. Jaindo Metal Industries

Abstrak - Teknologi informasi saat ini berkembang sangat cepat, dinamis dan canggih. Seiring dengan perkembangannya, PT. Jaindo Metal Industries membangun jaringan komputer berbasis VPN dinamis untuk mempermudah melakukan kegiatan operasional antar kantor cabang dan kantor pusat, seperti melakukan transaksi data atau presentasi melalui jalur publik, salah satunya penggunaan bersama aplikasi bisnis Microsoft Dynamic Axapta 4.0 pada semua cabang yang dioperasikan melalui domain pada kantor pusat. Penggunaan IP Publik non VPN memungkinkan terjadinya penyadapan oleh pihak yang tidak berkepentingan. Maka dari itu dibangunlah jaringan VPN (Virtual Private Network) dengan penerapan Hamachi agar dapat beroperasional secara private dengan koneksi yang memadai, biaya yang minim, keamanan data yang terjamin, dan dapat diakses dari manapun selama terkoneksi internet dan terhubung Hamachi VPN. Hal tersebut dapat meningkatkan efisiensi perusahaan agar dapat bersaing dalam dunia bisnis yang semakin ketat.Kata kunci: Hamachi, VPN, IP Publik Abstract - Information technology is currently developing very fast, dynamic and sophisticated. Along with its development, PT. Jaindo Metal Industries builds a VPN-based computer network to facilitate operational activities between branch offices and head office, such as conducting transactions or presentations through dynamic public channels, one of the shared uses of the Microsoft Dynamic Axapta 4.0 business application in all branches operated through the domain at the head office. The use of non-VPN Public IP allows eavesdropping by unauthorized parties. Therefore, a VPN (Virtual Private Network) network was built with the application of Hamachi so that it can operate privately with an adequate connection, minimal costs, guaranteed data security, and can be accessed from anywhere as long as it is connected to the internet and connected to Hamachi VPN. This can increase the company's efficiency so that it can compete in an increasingly tight business world.Keyword: Hamachi, VPN, IP Public
ASSISTÊNCIA DE ENFERMAGEM NO CENTRO CIRÚRGICO FRENTE À PANDEMIA DA COVID–19, À LUZ DA TEORIA DE FLORENCE NIGHTINGALE

Introduction:The COVID-19 pandemic caused a lot of obstacles to health care, especially in caring for surgical patients.In the face of this scenario, to reorganize care, it is a fundamental action that the Nursing practice is founded on theoretical assumptions.Florence Nightingale's Environmental Theory is current and relevant to prevent the transmission of new Coronavirus as well as for assistance of Nursing professionals to sick individuals.Purpose: Evaluating the assistance of Nursing in the Surgical Center during the COVID-19 pandemic according to Florence Nightingale's theory.Methodology: It is descriptive research with a qualitative approach.
RANCANG BANGUN SISTEM INFORMASI DESA MENGGUNAKAN METODE SDLC BERBASIS WEB (STUDI KASUS DESA TAMAN JAYA) – SUKABUMI

This community service activity aims to socialize the use of technology in helping the wheels of government to be more advanced and developing and sustainable by assisting the provision of village website-based community services to assist and facilitate the community in accessing information. A case study of Tamanjaya Village located in Ciemas – Sukabumi district. The results of the service activities obtained are that in the Tamanjaya village itself there is no community service that provides information effectively and efficiently. For this reason, we provide solutions for the provision of website-based community services with the aim of facilitating access to information for the Tamanjaya village community in obtaining effective and efficient information.
Research on the Application of VIC-3D Technology in Civil Engineering

Digital image correlation method has been widely used in various research fields of civil engineering since it was proposed, because of its convenient and simple, full-field measurement, good environmental adaptability and other characteristics. It has become an important measurement method in various research fields. The CCD camera is used to match the position of the same pixel in the two speckle images before and after the surface deformation of the specimen to obtain the displacement vector of the pixel, and record the change of the speckle characteristics of the specimen surface. Combined with computer vision and digital image processing technology, the physical quantities such as the morphology, displacement and strain of the object surface can be accurately measured. Therefore, this paper introduces the application of VIC-3D technology in civil engineering in detail.
The Knowledge Management Model to Support Academic Activities at SD Al-Imam Islamic School Cileungsi Using the Seci Approach

The absence of a processing model, knowledge storage due Knowledge in the form of notes, files, pictures and so on disappears because 17 teachers dump themselves and bring knowledge, files, notes that ever made. Allegedly with the creation of a processing model, knowledge-based storage a website with a SECI approach can provide a managed solution with good knowledge at SD Al-Imam Islamic school." In this study, the authors develop model knowledge management system that is in accordance with the conditions that exist in SD Al-Imam Islamic School, knowledge formation using the SECI model. From the results of testing the experimental system knowledge management system using the Technology Acceptance Model (TAM) method the average result is above 58%, which means that the respondent is in doubt about the application of the system tried the knowledge management system at SD Al-Imam Islamic School.
An assessment of the role of teachers in the academic performance of pupils in the national primary school examinations (NPSE) Yoni Mamaila Chiefdom, Tonkolili District

The role of teachers in the academic performance of pupils in schools is key among others in the output of pupils and the appraisal of teachers in Sierra Leone. The general aim of the study was 1) to carry out an assessment of the role of teachers in the performance of pupils in the national primary school examination (N.P.S.E) in the Yoni Mamaila chiefdom; and 2) to determine the extent to which the chiefdom stakeholders have been able to effectively play their role especially the members of the Chiefdom Education Committee (C.E.C). This research uses mixed methods. Descriptive survey research with Cross-sectional designs was use for this study. in this study, interviews, questionnaires, and documentation were used. This research was conducted at 4 selected schools, there were 200 people as the research population. The sampling technique used was purposive sampling, so that 60 respondents were obtained. The collected data were analyzed using descriptive data analysis. From the results of the analysis, it is clear that teachers play an integral role in improving students' academic achievement in the National Elementary School Examination. imitations and obstacles still hinder students from doing well on the NPSE. There are so many factors that influence it, especially in terms of socio-economic. Equally important is the presence of stakeholders who are needed to support students in working on the NPSE.
A movie recommendation method based on knowledge graph and time series

Traditional collaborative filtering algorithms use user history rating information to predict movie ratings Other information, such as plot and director, which could provide potential connections are not fully mined. To address this issue, a collaborative filtering recommendation algorithm named a movie recommendation method based on knowledge graph and time series is proposed, in which the knowledge graph and time series features are effectively integrated. Firstly, the knowledge graph gains a deep relationship between users and movies. Secondly, the time series could extract user features and then calculates user similarity. Finally, collaborative filtering of ratings can calculate the user similarity and predicts ratings more precisely by utilizing the first two phases’ outcomes. The experiment results show that the A Movie Recommendation Method Fusing Knowledge Graph and Time Series can reduce the MAE and RMSE of user-based collaborative filtering and Item-based collaborative filtering by 0.06,0.1 and 0.07,0.09 respectively, and also enhance the interpretability of the model.
Perspektif Pengguna Terhadap Pemanfaatan Aplikasi Candil Sebagai Pendukung Layanan Perpustakaan Dispusipda

&lt;p&gt;The use of digital library applications is an easy way for users to get information. This study aims to-provide an overview of the user's perspective on the Candil application as a support for Dipusipda library services. In addition, this study aims to determine the accessibility and usability of the Candil application from the perspective and experience of users when using the Candil application. The method used is a qualitative method with a case study approach. Observation, interviews, and literature studies carried out data collection techniques. Observations are made by conducting research on Candil application features. Then there were ten informants who were interviewed who were active users of the Candil application through accidental sampling. This research results that the accessibility aspect of the Candil application fulfills information accessibility so that users can find information on the Candil application through the availability of easy and fast collections. Then the Candil application also fulfills the five existing usability aspects: Learnability, Efficiency, Memorability, Error, and Satisfaction.&lt;/p&gt;
Zero-shot Object Detection Based on Dynamic Semantic Vectors

Zero-shot object detection has shown its ability to overcome the problems of data scarcity and novel classes. Existing methods generally utilize static semantic vectors to classify objects and guide the network to map visual features to semantic vectors. However, the distribution of semantic vectors cannot adequately represent visual features, which makes migration from seen to unseen classes difficult. This work explores the dynamic semantic vector method to align the distributions of semantic vectors and visual features. The main challenge is to get a more reasonable distribution of semantic vectors. To address this issue, we proposed a two-way classification branch network and introduce N-pair loss into the dynamic semantic vector optimization process. Experiments on the MS-COCO dataset and SiTi (a real-world autonomous driving dataset collected by us) demonstrate the effectiveness and generalization of our method. Our code is available at https://github.com/HaoyuLizju/ZSD_tcb
HALO: Hazard-Aware Landing Optimization for Autonomous Systems

With autonomous aerial vehicles enacting safety-critical missions, such as the Mars Science Laboratory Curiosity rover's landing on Mars, the tasks of automatically identifying and reasoning about potentially hazardous landing sites is paramount. This paper presents a coupled perception-planning solution which addresses the hazard detection, optimal landing trajectory generation, and contingency planning challenges encountered when landing in uncertain environments. Specifically, we develop and combine two novel algorithms, Hazard-Aware Landing Site Selection (HALSS) and Adaptive Deferred-Decision Trajectory Optimization (Adaptive-DDTO), to address the perception and planning challenges, respectively. The HALSS framework processes point cloud information to identify feasible safe landing zones, while Adaptive-DDTO is a multi-target contingency planner that adaptively replans as new perception information is received. We demonstrate the efficacy of our approach using a simulated Martian environment and show that our coupled perception-planning method achieves greater landing success whilst being more fuel efficient compared to a non-adaptive DDTO approach.