Reviewerly/exHarmony huggingface dataset:
PENGARUH MODEL PAIR CHECKS TERHADAP HASIL BELAJAR IPS SISWA KELAS IV SD NEGERI 10 PANGKALANBARU

The research was carried out at SDN 10 Pangkalanbaru. It was found that in Social Studies learning the learning outcomes obtained were low, almost 60% of students scored under the Minimum Completeness Criteria, Lack of teacher creativity in varying the learning model inotherclassroom. The research method used is Quasyoexperiment andothe0research model is NonequivalentoControloGroupuDesign. The sampling technique uses saturated sampling. Test the validity using the Product Moment person correlation. The reliability coefficient of rcount is 0.830 and rtable is 0.304. Normality test uses the Kolmogorov Smirnov test. The results of calculations in the Pair checks learning model class obtained L count &lt;L table 0.133 &lt; 0.250 and the control class Lcount &lt; L table 0.133 &lt; 0.250 the data was declared to be normally distributed. Homogeneity test using Fisher's exact test. The results of the calculation of F count &lt; F table (1.161 &lt;1.880) then the variance of the two groups is homogeneous. Hypothesis testing Independent sample t-test obtained tcount 3,989 and ttable 2,006 t count &gt; t table then H0 is rejected and H1 is accepted. The results of this study concluded that there was an effect of the use of the Pair checks learning model on the fourth grade of SDN 10 Pangkalanbaru. Keywords: Pair checks Learning Model, Social Studies Learning Outcomes
Sistem Pendukung Keputusan Pemilihan Peserta Olimpiade Karya Ilmiah Tingkat Nasional Menggunakan Metode SAW

Participants of the national level scientific work olympic are participants who will take part in competitions between one campus and another on a national basis in showing scientific works or research results with certain themes in a competition. The importance of choosing is because an olympic participant is a pride and also brings the good name of the college where they study, if you bring the wrong participant it will create new problems in assessing the quality of a university, in this study, the selection of participants for the olympic scientific work at the national level using concept of the algorithm of a decision support system using the MOORA method. The MOORA method or the abbreviation of Multi-Objective Optimization on The Basis Of Ratio Analysis is a decision support system method that has simple stages and processes in solving problems. The results of this study found the highest score with the candidate with a value of 10.93991.
Analysis of Landslide Susceptibility using Quantitative Multivariate Prediction Models in Jenelata Sub-Watershed, Jeneberang Watershed South Sulawesi Indonesia

Landslides have taken an essential role in the evolution of landscapes, are present almost everywhere, and have become one of the catastrophic subjects of frequent natural disasters. The landslide disaster in Indonesia became one of the disasters that resulted in many casualties. Quantitative multivariate prediction models are statistical methods that allow us to research more than two variables simultaneously. Multivariate analysis is used because, in reality, the problem cannot be solved by simply connecting two variables or looking at the influence of one variable on another. The Jenelata Sub-Watershed of the Jeneberang Watershed is the upper reaches of the Jeneberang watershed, with areas that have undergone many changes in land use and experienced a very high erosion rate. It can be seen by the river flow, which always carries soil sedimentation. The 650 landslide events detected in Google Earth imagery serve as the basis for assessing the extent of landslides. Discrimination of causal factors in frequency ratio (FR) indicates that slope factors, river density, and slope direction are the leading causes of landslides. The NGO was then built using a logistic regression (LR) model. The ROC curve in the model is more inclined towards the sensitivity axis with the success of the AUC and predictions of 0.809 model validation and 0.801 prediction validation, respectively.
Classification of cracked concrete images using convolutional neural algorithm

Concrete is the most widely used construction material in the construction industry. This concrete material is one of the important materials used in infrastructure development in Indonesia. Cracks in a building is something that is avoided in every infrastructure development. Cracking is a condition when water evaporation in concrete occurs very quickly due to changes in weather. Many traditional measures have been taken to determine if a building is cracked or not cracked, but it has resulted in inaccurate conclusions. Indonesia is a country that is doing a lot of significant infrastructure development to become a developed country and improve the country's internal situation. Therefore, one of the basic things in a construction that uses concrete in infrastructure development is very concerned about its condition. Based on these problems, this study uses one method of classifying an object using digital images, namely Convolutional Neural Network to classify cracks in concrete. This study aims to classify images of concrete cracks using the Convolutional Neural Network algorithm. The stages in this study are the preparation of secondary data research data collection which is stored in a file format (.jpg) with tens of thousands of data and the second stage is the pre-processing stage by selecting a class on the image, then compiling a design using the Convolutional Neural Network architecture, training and testing process will be carried out from the results obtained, and accuracy testing will be carried out. The results of this study are expected to provide benefits from seeing the results of the best level of accuracy of classifying concrete crack images using the Convolutional Neural Network algorithm.
Forms of Librarians' Communication and Their Impact on User Satisfaction in The IAIN Kediri Library

This study aims to see the extent of the librarian's form of communication and its impact on user satisfaction in the IAIN Kediri Library. The theory used is librarian communication and user satisfaction. Using a qualitative approach, this study resulted in the conclusion that the form of communication of IAIN Kediri librarians was very good and had a good impact on users. The majority of users feel that librarians are always fast and responsive in assisting students in finding information in the library, librarians prioritize the interests of students who need help, librarians are willing and patient in serving students, librarians do circulation services well, and librarians provide services according to the promised time
The Effectiveness of Using the Barcode System in Making Family Cards at the Department of Population and Civil Registration of Minahasa Regency

The problem in this study is the effectiveness of using the barcode system in making family cards at the Department of Population and Civil Registration of Minahasa Regency. This study aims to determine how effective the use of the barcode system in making family cards at the Department of Population and Civil Registration of Minahasa Regency is. Sources of data in this study were the people of Minahasa Regency as many as 32 people. To analyze the data, quantitative descriptive analysis technique with the percentage formula. Based on the result of SPPS the lowest calculated r value is 0.567 and the highest calculated r value is 0.911, it can be concluded that the statement is valid, because r arithmetic is greater than r table 0.349. then Cronbach's alpha values obtained are input 0.730, productivity 0.766, satisfaction 0.796, and output 0.766, because the value is greater than 0.7 so it can be concluded are reliable. Then the effectiveness of using the barcode system in making family cards at the Department of Population and Civil Registration of Minahasa Regency is very effective with a result of 86,4%.
Detection Of Event-Related Potential Artifacts Of Oddball Paradigm By Unsupervised Machine Learning Algorithm

Electroencephalography (EEG) is one of the most common and benign methods for analyzing and identifying abnormalities in the human brain.EEG is an incessant measure of the activities of the human brain.In contrast, when the measurement of EEG is bounded by time and the EEG is synchronized to an exterior stimulus, is known as Event-Related Potential (ERP).ERP has the capability to perceive and explore the human brain's responses to specific sensitive, cognitive, or motor events in real time with high temporal resolution.Among the various techniques, the oddball paradigm is very famous in EEG studies.In an oddball paradigm experiment, brain responses to frequent and infrequent stimuli are measured.However, the success of ERP research is very much dependent on the analysis of clean data sets and unfortunately, EEG is a combination of both neural and nonneural activities which introduce significant sources of noise that are not related to the brain's response to the external stimulus.These unrelated non-EEG components are acknowledged as artifacts and due to these, the quality of the EEG may damage by decreasing SNR (signal-to-noise ratio).In addition, these artifacts may mislead the actual information in the study.Addressing this problem, the purpose of this research is to introduce a machine learning algorithm (ML) that can screen EEG/ERP data to remove data epochs that are disrupted by artifacts and thus produce a clean data set.Overall, three unsupervised ML algorithms are applied to identify noisy epochs and it is found that the DBScan method performs best with 93.43% accuracy.Finally, the success of this study will allow the ERP study to have a cleaner ERP data set in normal laboratory conditions with less complexity in the ERP studies.
Analisis Penggunaan Media Kartu Huruf dalam Meningkatkan Kemampuan Membaca Siswa Kelas 1 SD Negeri Cengkareng Barat 14 Pagi

This research is motivated by the results of a preliminary study conducted by researchers in the field showing that students' interest in reading is very lacking, especially regarding good reading comprehension, causing elementary school students who are at the concrete stage to need tools in the form of media that can clarify what will be conveyed by the teacher. This study uses a qualitative approach. The instruments used are student observations, reading skills, interviews and assignments. Based on the results of the study, several research findings were obtained through data collection tools such as observation, interviews, and documentation. In the research on Analysis of Using Letter Card Media in Improving Reading Ability for Grade 1 SD Negeri Cengkareng Barat 14 Pagi, the findings of this study will be analyzed for data including data reduction, data presentation, and drawing conclusions. Based on the results of the research and discussion that have been described, it can be concluded as follows. After the implementation of letter card media in learning to read the beginning of grade 1 SD Negeri Cengkareng Barat 14 Pagi there was an increase of 81.25%. Thus, the application of letter card media can improve the early reading ability of students in grade 1 SD Negeri Cengkareng Barat 14 Pagi in 2021/2022.
Universal Grammar: Its Existence, Composition, and Evolution

This paper is structured as follows.Part 2 presents some arguments for the existence of Universal Grammar.Part 3turns to the contents of UG from the Standard Theory to the Minimalist Program.Part 4 concentrates on the debate surrounding UG.Part 5 concludes the paper. UNIVERSAL GRAMMAR: ARGUMENTS FOR ITS EXISTENCEOver the years, there have been a lot of arguments in support of the existence of Universal Grammar and the following are the most typical ones.Language Universals: All human languages share certain properties.Chomsky argues that in their essential properties and even down to fine detail, languages are cast to the same mode.Convergence: The language that each person acquires is a quite rich and complex system which is underdetermined by the evidence available to the learner.However, the learner in a speech community rapidly converges on a grammatical system that is virtually identical to others.This can only be explained by the assumption that these individuals employ highly restrictive principles that guide the construction of the grammar (Chomsky1975:11).Poverty of the Stimulus: Children acquire linguistic knowledge for which there is no evidence in the input.
Video Captioning using a Hybrid Transformer and RNN-based Encoder-Decoder

Video captioning refers to generating a textual representation of the content presented visually in a video, a task that is necessary both for visually impaired users and for a better navigation through large video repositories.In this paper we describe a model that employs the heavily pretrained CLIP Vision Transformer (ViT) [9,5] and the GPT2 language model [10] and discuss several approaches of combining the two models for video captioning.Our method relies on a novel hybrid model that combines the pretrained CLIP ViT with LSTM networks, outperforming CLIP + GPT2 models.We validate our method on the popular MSVD [4] and MSR-VTT [18] datasets, showing the potential of the proposed model for video captioning.
Tracking Passengers and Baggage Items Using Multiple Overhead Cameras at Security Checkpoints

We introduce a novel framework to track multiple objects in overhead camera videos for airport checkpoint security scenarios where targets correspond to passengers and their baggage items. We propose a self-supervised learning (SSL) technique to provide the model information about instance segmentation uncertainty from overhead images. Our SSL approach improves object detection by employing a test-time data augmentation and a regression-based, rotation-invariant pseudo-label refinement technique. Our pseudo-label generation method provides multiple geometrically transformed images as inputs to a convolutional neural network (CNN), regresses the augmented detections generated by the network to reduce localization errors, and then clusters them using the mean-shift algorithm. The self-supervised detector model is used in a single-camera tracking algorithm to generate temporal identifiers for the targets. Our method also incorporates a multiview trajectory association mechanism to maintain consistent temporal identifiers as passengers travel across camera views. An evaluation of detection, tracking, and association performances on videos obtained from multiple overhead cameras in a realistic airport checkpoint environment demonstrates the effectiveness of the proposed approach. Our results show that self-supervision improves object detection accuracy by up to 42% without increasing the inference time of the model. Our multicamera association method achieves up to 89% multiobject tracking accuracy with an average computation time of less than 15 ms.
Meningkatkan Keterampilan Menulis Puisi Menggunakan Media Gambar di Kelas III SD Negeri 106448 Bagan Serdang

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to determine the improvement of poetry writing skills using picture media in third grade students of State Elementary School 106448 Bagan Serdang for 2020/2021 Academic Year.The type of this study used is Classroom Action Research (CAR). In this study, researchers are involved or collaborate in learning activities. The researcher used the action research model of Kemmis and Taggart. This research was conducted in two cycles which included planning, implementation, observation and reflection activities. The subjects in this study were third grade students of State Elementary School 106448 Bagan Serdang, totaling 35 students. The instruments used are observation and tests. Observation data were analyzed by descriptive qualitative while the test results were analyzed by descriptive quantitative percentages.The results showed that the poetry writing skills of third grade students of State Elementary School 106448 Bagan Serdang using picture media had increased. This is evidenced by the increase in the percentage of students' writing skills test results in the pre-cycle with a percentage of 2.9% increasing to 68.6% in the first cycle and increasing in the second cycle to 97.1%.&#x0D; &#x0D; &#x0D; &#x0D;
Rancangan Arsitektur Sistem Informasi E-Customer Relationship Management Menggunakan Metode Enterprise Unified Process

Customer Relationship Management (CRM) is a management that discusses the handling of the relationship between customers and the company. In the Power Kitchen where one of the company's equipment in the city of Surabaya has problems related to handling complaints from customers. So we need a CRM system to build relationships with customers. Therefore, the Power Kitchen company needs a CRM system to make it easier for companies to handle complaints from customers. This research uses the Enterprise Unified Process method which is a framework for the software process used. This research has resulted in the form of recommendations for system architecture models to achieve company goals and service relationships between companies and customers.
The Effect of Vocabulary Self -Collection Strategy (VSS) On Student’ Vocabulary Mastery at SMPN 8 Kota Bengkulu

The objective of this study is to know whether there is any significant effect of students who are taught by VSS (Vocabulary Self-Collection) strategy in student vocabulary mastery. The researcher used a quasi-experimental research. In this study, the researcher divided the subject of the study into two groups, an experimental group, and a control group. The sample in this study was students of VIII-4 consisted of 31 students as experiment class and VIII-5 consisted of 31 students as the control class. Therefore, total sample were 62 students. The finding showed that there was a significant effect of applying Vocabulary self-collection strategy (VSS) on the students’ vocabulary mastery at grade VIII of SMPN 8 Kota Bengkulu. In other words, the use of Vocabulary self-collection strategy (VSS) was generally effective to improve students’ vocabulary mastery at grade VIII of SMPN 8 Kota Bengkulu. Vocabulary Self Collection Strategy (VSS) is one of teaching strategy that can be considered to be implemented in teaching vocabulary in the English classroom especially in teaching reading text. So, it is expected for the teacher to encourage the students’ vocabulary mastery by implementing Vocabulary Self Collection Strategy.&#x0D; Keywords: Vocabulary Self -Collection Strategy (VSS), Vocabulary Mastery
RELATIONSHIP BETWEEN CORRUPTION PERCEPTION AND SENSE OF ORGANIZATIONAL JUSTICE AMONG EMPLOYEES OF ARDABIL EDUCATIONAL CENTERS IN 2017

RELATIONSHIP BETWEEN CORRUPTION PERCEPTION AND SENSE OF ORGANIZATIONAL JUSTICE AMONG EMPLOYEES OF ARDABIL EDUCATIONAL CENTERS IN 2017
Analisis K-Nearest Neighbour Dalam Mendiagnosa Grandemultipara

Grandemultipara are women who give birth more than four times usually experience complications in pregnancy and childbirth. Grandemultipara or better known as mothers who give birth more than 4 times can cause various pregnancy complications that will be experienced by the mother, one of which is bleeding. Grandemultipara pregnancies are included in high-risk pregnancies, because complications can occur either during pregnancy or childbirth. The K-NN algorithm can be applied in the process of diagnosing human diseases, so several references are taken including those used in diagnosing several diseases. With the K-NN algorithm that will be used in this study, where data on symptoms of Grandemultipara disease obtained from an expert is processed according to the algorithm to produce accurate diagnostic information for Grandemultipara disease. Analysis of the K-NN method is able to provide information and solutions in solving the problems of Grandemultipara disease.
Trusted and secure e-service based on the durable medium and blockchain technology

The paper proposes a trusted and secure e-service that can be treated as a durable medium. The presented approach utilizes a blockchain database (managed by the trusted third party) combined with the cryptographic methods (signing with an electronic seal and data encryption). The service is mainly oriented towards the large financial institutions (e.g., banks) that require agreements on a document with a large number of customers, but it can also be applied for other enterprises or industrial areas.
Pengembangan Bahan Ajar Menulis Teks Negosiasi Berbasis Pengalaman pada Siswa Kelas X SMK Swasta As Syifah Kisaran

This study aims to develop teaching materials for writing experience-based negotiation texts for class X students 0f Kisaran Private Vocational School (SMK). This research is a research on the development of the Borg and Gall model (2003). The stages carried out include preliminary studies, drafting, expert and user assessments, and field tests. Assessments from experts and users indicate that the teaching materials for writing negotiation texts meet the eligibility criteria. The feasibility assessment focused on four components, namely content, language, presentation, and graphics with an average percentage of 88.5%. Effectiveness is based on the value of the results of field trials with reference to the minimum completeness criteria (KKM) for writing negotiation texts, which is 70. The value of the results of field trials reaches an average of 82.77 with classical school completeness. The achievement of the student's average score which is higher than the KKM value indicates that the teaching materials developed are effective so that they are suitable for use in the learning process of writing negotiation texts.&#x0D; Keywords: Development; teaching materials; writing; negotiation text; experience-based
The Role of Podcast as a Distance Learning Media during Covid-19 in Higher Education

The Covid-19 pandemic that hit the world has changed human life in all areas of life, including education. In education, learning and instruction are important to higher education students. Covid-19 affected learning design from face-to-face learning in the class become distance learning. Distance learning is an institution-based formal education in which students and instructors are located in separate locations, thus requiring an interactive telecommunication system to connect the two and the various resources required in it. Many things need to be fixed and updated in terms of materials and platforms used. This study uses a descriptive qualitative method to show the need for distance learning innovation by using podcast media as an additional alternative platform to answer distance learning challenges. The results showed that the podcast system in the form of recordings made it easier for students to listen to the material presented by the instructor. Podcasts made students enthusiastic about learning during the Covid-19 pandemic.
An Analysis and Design of Network Security Using Firewall at the Library and Archives Services of Bengkulu province

This study is based on the problems that are often encountered in the research location, namely how to secure the inlislite server by designing network security using Packet Filter Firewall of IPtables. The purpose of this study is to optimize the data security of the inlislite system in the Library and Archives Service of Bengkulu Province. The method used is the Network Development Life Cycle (NDLC) method, a cycle of network design stages that can guide a network design, which depends on the size of the project to be implemented and the purpose of the project. By testing a Denial of Service (DoS) attack against inlislite using hping3 on linux, the inlislite website can no longer be accessed. Therefore, the author designed a new system to secure the inlislite server from unwanted attacks using the IPTables firewall filter then it can become a firewall that will ward off Distributed Denial of Service and Denial of Service attacks on inlislite servers. From the results of research and testing that has been carried out, the IPTables firewall is very good for securing servers in the Library and Archives Service of Bengkulu Province and applying more rules to clients in terms of internet use.