Reviewerly/exHarmony huggingface dataset:
Pendampingan Belajar Bahasa Inggris (Basic English) Pada Anak Usia Sekolah Dasar

Assistance in learning English for elementary school-age children is an important process in developing their langua2ge skills. This mentoring program is designed to introduce children to English in a fun and effective way. This includes the use of a variety of learning methods appropriate to the developmental level of the children. This English learning assistance for primary school age children aims to create a positive and fun learning environment, stimulate children's interest in English, and help them develop communication skills that will be useful throughout their lives. The method used is learning chili singing. This learning assistance is carried out 3 times in 1 week from 19.00 to completion. Based on the padaevaluation and observation results, there is an increase in student learning motivation and students' understanding of English.
Penerapan Algoritma K-Means Untuk Clustering Harga Rumah Di Bandung

The need for shelter is one of the fundamental aspects of daily life for humans. A house serves not only as a place to seek protection and rest but also as a venue for socializing with family. One of the factors influencing the decision in choosing a house is its price. House prices vary in each region, depending on factors such as location and other attributes. In major cities like Bandung, house prices differ based on their categories. However, many people still find it challenging to determine the value and discern whether a house is classified as affordable or expensive. Hence, there is a need for a clustering process of house prices in Bandung to aid in comprehending and categorizing house prices based on attributes such as the house price, total building area, and total land area. To understand and analyze the patterns of house prices in Bandung, this study utilizes the K-Means method to cluster the house price data into several groups based on their similarity in attributes. Additionally, the research aims to determine the optimal number of clusters through the cluster validation process using the silhouette index. The findings show that when using n_cluster=2, a silhouette score of 0.8870 is obtained, and with n_cluster=3, the silhouette score is 0.8009. These results indicate that clustering with n_cluster=2 and n_cluster=3 both exhibit strong interpretative structures. Thus, the clustering of house prices in Bandung can be effectively grouped into 2 clusters, as evidenced by the higher silhouette score obtained with n_cluster=2, approaching 1 compared to n_cluster=3.
Deteksi Intrusi Siber pada Sistem Pembelajaran Elektronik berbasis Machine Learning

This study aims to develop a mechanism for detecting machine learning-based cyber intrusions in electronic learning systems. In today's digital era, e-learning systems have become an integral part of education and training, providing global accessibility and more interactive learning efficiency. However, security and privacy challenges are becoming critical issues due to the increasingly real threat of cyber intrusion. Attackers try to take advantage of vulnerabilities and weaknesses in e-learning systems to steal sensitive data or disrupt operations. To overcome this problem, this study focuses on the use of artificial intelligence technologies, especially machine learning, to proactively detect and respond to intrusive threats. Through e-learning security analysis, identification of weaknesses, and potential loopholes for cyber-attacks, the most suitable machine learning algorithms are selected to detect patterns and signs of intrusion attacks on network data. The evaluation results show that several machine learning algorithms, such as SVM and Decision Tree, have good performance in recognizing cyber intrusions with high accuracy, precision, recall, F1-score, and ROC-AUC. By implementing machine learning-based intrusion detection technology, it is expected that electronic learning systems can be more proactive in identifying and responding to intrusion threats before significant damage occurs. This research has significant benefits in increasing security and privacy in the use of electronic learning systems. In addition, this study is expected to be a reference for further research in the world of cyber security and the application of artificial intelligence technology in supporting digital security.
USING FLASHCARDS TO MOTIVATE STUDENTS TO LEARN ENGLISH AT SDN KARANGAYU 03 SEMARANG

This article discussed students' motivation to learn English using flashcards, especially for learning English Speaking, which focused on fluency and pronunciation. From the various problems regarding student motivation in the learning process, Flashcard is a media that is quite effective for teaching first-grade elementary school students because young learners still like to learn while playing. The data source came from observation and interviews with the English teacher and first-grader students at SDN Karangayu 03 Semarang. From the teacher's perspective: (1) Fun; (2) Effective; (3) Students easily understand the material taught because young learners learn while playing. From the students' perspective: (1) Learning with flashcards is fun and engaging; (2) The students all are happy learning using flashcards; (3) Didn't feel bored; (4) Want to learn using flashcards again in the future. So, it concluded that learning English Speaking using flashcards has a good impact and can motivate students to learn.
A Systematic Literature Review: Blended Learning as the Icon of Excellence in Primary Schools in the Era of the Fourth Industrial Revolution

This systematic literature review aims to investigate whether blended learning can become the hallmark of educational excellence. The study documents and reviews articles related to blended learning from 2014 to 2021, sourced from accredited national and international journals accessible through Google Scholar, ScienceDirect, and ResearchGate. The results reveal that blended learning plays a crucial role as a solution for teaching and learning activities during the COVID-19 pandemic and the 21st century. It has the potential to become an icon of educational excellence; however, successful implementation requires alignment of institutional goals, educators, students, and parents. The implications of this study underscore the significance of embracing blended learning as a creative and innovative approach to adapt to the challenges of the pandemic and beyond.&#x0D; Highlights:&#x0D; &#x0D; &#x0D; Blended learning as a transformative solution: Blended learning emerges as a vital approach to seamlessly integrate traditional face-to-face teaching with online education, presenting a transformative solution to adapt to the challenges of the COVID-19 pandemic and beyond.&#x0D; &#x0D; &#x0D; Educational excellence in the 21st century: The systematic review showcases blended learning as a potential icon of educational excellence, offering a pathway to foster innovative and creative learning environments that align with the demands of the 21st-century education landscape.&#x0D; &#x0D; &#x0D; Key success factors for implementation: The study emphasizes the significance of goal alignment among institutions, educators, students, and parents, highlighting that successful implementation of blended learning hinges upon the collaboration and synchronization of all stakeholders.&#x0D; &#x0D; &#x0D; Keywords: Blended Learning, Educational Excellence, COVID-19 Pandemic, Systematic Literature Review, Online Education
Role of Motivation in English Language Learning: An Evaluation of the Correlation Between Student Motivation and Proficiency in English

This study investigates the relationship between student motivation and English language proficiency among high school students. Drawing upon seminal and contemporary models of motivation, including Gardner's Socio-Educational Model, Dörnyei’s Process-Oriented Model and L2 Motivational Self System, as well as the Dynamic Systems Theory, this study underscores the role of motivation in language learning. A total of 450 students aged 16 to 18 completed a modified version of the Attitude/Motivation Test Battery (AMTB) and their English proficiency was assessed using the Test of English as a Foreign Language (TOEFL). The results indicated a strong positive correlation between motivation and English proficiency (r = .68, p &lt; .001), substantiating the claim that high levels of motivation can contribute to improved language proficiency. This study reinforces the importance of fostering motivation in English language teaching and offers valuable insights for educators and researchers in the context of a rapidly evolving language learning landscape.
Analisis Frasa Verba dan Adjektiva pada Teks Cerpen dalam Buku Bahasa Indonesia Kelas IV SD Kurikulum Merdeka

The syntax is a grammar that can decipher the relationship of language elements to form sentences. The function of syntax is as a container in a syntactic structure that contains certain categories. It can be called subject (S), Predicate (P), Object (O), Complement (COMP), and Adverb (ADV). Phrase analysis in short story texts in Indonesian language books for fourth-grade elementary school independence curriculum. This analysis is a qualitative descriptive analysis of the short story text in the Indonesian language book for the fourth grade of the Independent Curriculum. Phrases are syntactic units cobining of two or more words and do not have clauses that occupy one function. Many do not understand how to divide groups of phrases and the causes of errors. Therefore, this research to classify phrases based on their types, and the causes of phrase errors in short stories texts in Indonesian language books for fourth-grade elementary school independence curriculum. Listening and then recording is a technique that can be done when data collection. The results of this study indicate that there are noun phrases, verb phrases, adjective phrases, numeral phrases, and errors in the use of phrases in short stories sentences. This analysis is expected to better understand and be able to develop the use of phrases in short stories.
Efficacy of Collaborative and Multimodal Learning Strategies in Enhancing English Language Proficiency Among ESL/EFL Learners: A Quantitative Analysis

This study examined the efficacy of collaborative and multimodal learning strategies in enhancing English language proficiency among ESL/EFL learners. A total of 120 secondary school-aged learners from three schools in the United Kingdom participated in the study, with half of the participants receiving collaborative and multimodal instruction, while the other half received traditional instruction. Pre and post-tests were conducted using the Oxford Quick Placement Test, and a modified version of the Language Learning Motivation and Engagement Scale was used to assess student engagement and motivation. Observational data were also collected to record instances of collaborative and multimodal activities. Quantitative analysis revealed that the experimental group exhibited a significant improvement in post-test scores and higher levels of engagement and motivation compared to the control group. The results suggest that the integration of collaborative and multimodal learning strategies can effectively enhance English language proficiency among ESL/EFL learners and contribute to the development of more inclusive and dynamic learning environments. The findings of this study contribute to the ongoing development of learner-centred approaches in ELT and offer valuable insights for educators seeking to enhance their teaching practices.
Sosialisasi Pentingnya Promosi Sekolah Guna Meningkatkan Jumlah Siswa di Era Pandemi Covid-19

Community service activities are a medium for delivering science and technology to the community. This community service is carried out by a lecturer in the Department of Industrial Engineering, Faculty of Engineering, Teuku Umar University. The theme of this community service is the importance of promoting schools in order to increase the number of students during the COVID-19 pandemic. The purpose of this community service is to provide an overview to the foundation about the importance of introducing the profile of the foundation to the surrounding community, and as an effort to increase the number of new students at the Makmue Raya Foundation. Participants in this community service are foundation administrators, teachers and students of Madrasah Aliyah (MA) and Madrasah Tsanawiyah (MTs) under the auspices of the Makmue Raya foundation, totaling 83 people. Community service participants participated in the socialization in the form of lectures, discussions and questions and answers about the importance of school promotion during the COVID-19 pandemic. The output of this community service is as basic knowledge about school promotion to foundations, and can introduce school promotion methods during the covid-19 pandemic to foundations.
Ethnoscience Based E-Book Sac Development to Promote Scientific Literacy of Theme 6 to The Fifth Grader of Elementary School in Mranggen Demak

The study aimed at knowing and analyzing the need, design, properness and effectiveness of ethnoscience based e-Book SAC development to promote scientific literacy of Natural Science Subject-theme 6 of the fifth grader of Elementary School in Mranggen Demak. This study is a research and developmental model referring to Borg &amp; Gall consisting of 10 phases simplified in four stages, i.e., preliminary stage, development and validation, field test and dissemination. In collecting the data, the study used observation, interview, questionnaire of need and expert validation sheet, student achievement test and documentation. The data analysis was qualitatively and quantitatively done. The subject of the study was 7 teachers and 45 students of fifth grader of Elementary School at the Sub-district of Mranggen, Demak Regency. The research result showed that the needed e-book SAC was digital book which is interactive, communicative and helping students study learning books easily, because the developed e-book SAC was completed with photos and videos relevant to the daily life as materials to be learned by students. The development design of the e-book was based on ethnoscience using the application of Smart Apps Creator (SAC) with the assistance of Swishmax software to make interactive design and animation. Based on the fit and proper analysis the developed model of e-book SAC was considered accountable due to the validation result of material and media expert with the value average or indicator average of 7,3% or equal to 91,6. The analysis result of the effectiveness of e-book SAC model based on ethnoscience showed that the model is effective to develop scientific literacy. The statement was based on the analysis result of N-Gain, and t-test examination on the experiment group 1, 2, and 3 with the average score of scientific literacy development on Fifth graders of 70,73, exceeding the determined minimum learning mastery standard, 65. The conclusion of the study is that the development of ethnoscience based e-Book SAC is necessary, accountable, and effective in line with the design of e-book SAC which is needed by teachers and students.
DEVELOPMENT OF MOBILE AR APPLICATIONS AS A SCIENCE LEARNING MEDIA IN INCREASING JUNIOR HIGH SCHOOL STUDENTS' INTEREST IN LEARNING

The solar system is a vast universe residing within a galaxy of galaxies in which it consists of celestial bodies circling a central solar system. celestial bodies contained in the solar system consists of the moon, asteroids, meteorids, comets, and planets in this study carried out the development of planetary recognition applications with augmented reality technology. in this application development using marker based tracking technology with waterfall method. based on the test results, the application can run on several smartphones that have different specifications. this application can be suitable to detect markers with room lights lighting 20 watts with a height of 10-40 cm.
Analisis kesalahan sintaksis bahasa Indonesia dalam karangan narasi siswa kelas V sekolah dasar

&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;. This study aims to describe syntactic errors in the fields of phrases, clauses, and sentences. Describe the factors that cause syntactic errors in narrative essays for fifth grade students of SD Negeri Tegalayu Surakarta. This study uses a qualitative method. Methods of data collection is done by means of interviews, observation and documentation. The validity of the data using triangulation techniques and sources. Analysis of the data using the interactive model of Miles and Huberman. The results of the research based on indicators in the phrase field contained errors, namely the use of regional languages, inappropriate prepositions, wrong wording, excessive elements, excessive superlative influences and the use of respiricals. The error of the clause is adding a preposition between the verb and the object. Sentence errors are unsubjected sentences, illogical sentences, ambiguous sentences, omission of conjunctions and the use of foreign terms. Internal and exte kurnal causes are lack of understanding of correct sentence structure, low reading interest, use of language in the surrounding environment. The implication of this research is that teachers must improve strategies to overcome syntax errors by explaining good and correct writing procedures according to syntax.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; language error analysis, syntax, narrative essay&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Implementation of Dijkstra's Algorithm to Determine Evacuation Paths in Earthquake and Tsunami Simulations in Bengkulu City Based on Gis

judging from the geographical location, bengkulu province is a province where there are quite a lot of cracks in the earth's plate, it has the potential to occur tectonic earthquakes that can cause earthquakes and tsunamis. the natural vulnerabilities that exist make almost the entire west coast of bengkulu including bengkulu city very prone to earthquakes and tsunamis. in the event of an earthquake and tsunami, if disaster management and evacuation routes are not prepared, it will cause damage to buildings and can result in very severe casualties such as the events in aceh &amp; lombok. under these conditions, it is necessary to carry out an evacuation that aims to save the population from the danger of a tsunami, from a place that is considered safe. the thing that is most closely related to evacuation is time, the longer the evacuation process or the greater the evacuation time required, the more lives will be threatened. in the evacuation process it takes a fast time to reach the gathering point or the nearest point. one of the closest/shortest paths is found in dijkstra's algorithm, in addition to using the dijkstra algorithm to reach the shortest destination location, a geographic information system is used which presents a map of the location of the destination to be achieved. geographic information system (gis) is an information system used to process data on earthquake and tsunami evacuation routes in the city of bengkulu. an android-based geographic information system will greatly assist the community in solving these problems, thus we can see the closest evacuation routes that must be passed, this study aims to utilize dijkstra's algorithm to determine earthquake and tsunami evacuation routes so that it can effectively assist in the evacuation process when an earthquake and tsunami occurs and create an information system application for earthquake and tsunami evacuation routes. keywords : dijkstra, geographic information system, evacuation, path, gathering point and hazard point
PENGENALAN KUE TRADISIONAL INDONESIA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

In Indonesia, a lot of cakes are included in the category of traditional snacks. Traditional snacks are a unique culture of the archipelago that must be preserved by Indonesians. Traditional cakes are snacks that people like because they are dense and filling. Traditional cakes have a variety of textures, shapes and colors are very diverse and some are similar to each other, so it is rather difficult to identify the cake. The problem faced by buyers is that they often do not know the name of a cake because of the many types of cakes sold in the market. Technological advances have also caused many local people to use social media to take photos of food, but to recognize these cakes, there are still many people who do not really understand traditional cakes compared to modern cakes. The above problem can be solved if a system is made to recognize the image/photo of the cake and the computer can be programmed and to classify the cake into a certain category of cake by utilizing the image of the cake using the Convolutional Neural Network (CNN) algorithm. The best test results are tests that include data augmentation during training, where VGG-16 has a higher accuracy than DenseNet121 which is 80% and DenseNet121 testing which uses k-fold cross validation with an accuracy of fold 1 which is 77% and a drastic increase up to fold 5. If without using data augmentation, the best result obtained is an accuracy of 83% achieved by DenseNet121 without transfer learning, learning rate 1e-5 and batch size 16.
Identifying Representations for Intervention Extrapolation

The premise of identifiable and causal representation learning is to improve the current representation learning paradigm in terms of generalizability or robustness. Despite recent progress in questions of identifiability, more theoretical results demonstrating concrete advantages of these methods for downstream tasks are needed. In this paper, we consider the task of intervention extrapolation: predicting how interventions affect an outcome, even when those interventions are not observed at training time, and show that identifiable representations can provide an effective solution to this task even if the interventions affect the outcome non-linearly. Our setup includes an outcome Y, observed features X, which are generated as a non-linear transformation of latent features Z, and exogenous action variables A, which influence Z. The objective of intervention extrapolation is to predict how interventions on A that lie outside the training support of A affect Y. Here, extrapolation becomes possible if the effect of A on Z is linear and the residual when regressing Z on A has full support. As Z is latent, we combine the task of intervention extrapolation with identifiable representation learning, which we call Rep4Ex: we aim to map the observed features X into a subspace that allows for non-linear extrapolation in A. We show that the hidden representation is identifiable up to an affine transformation in Z-space, which is sufficient for intervention extrapolation. The identifiability is characterized by a novel constraint describing the linearity assumption of A on Z. Based on this insight, we propose a method that enforces the linear invariance constraint and can be combined with any type of autoencoder. We validate our theoretical findings through synthetic experiments and show that our approach succeeds in predicting the effects of unseen interventions.
Electrochemical terminology | Electrochemical terminology: Power

This article describes the power capability and internal resistance of batteries, fuel cells, and supercapacitors. It is shown that the "Ragone diagram" is a convenient means of comparing the specific energy and specific power of these technologies.