Reviewerly/exHarmony huggingface dataset:
STUDENTS’ DIFFICULTIES IN WRITING PROCESS OF RECOUNT TEXT FOR EIGHT GRADE OF JUNIOR HIGH SCHOOL

Writing is very important and most required in academic field. Students Writing is the process of describing a language so that the message conveyed by the writer can be understood by the reader. Kingston (2002:3) state that student’s achievement in learning English is only measured by the productive skills, especially the writing performance. Writing is one way to express ideas, experiences and feelings in written form. This study aims to determine the difficulties experienced by students when writing recount text in junior high schools. This research was conducted by analyzing students dffculties in recount text according to the theory of Heong et al. (2012) and the factor of students difficulties by Zaenudin (2015: 10) state that these factors include: (a) their lack of fluency in issuing ideas using English. (b) they are not accustomed to using English in daily communication, (c) lack of understanding of students about the generic struscture and language feature, (d) lack of their ability to think abstractly. Data sources were two eighth grade students in one school. Junior High School (SMP) in Sidikalang, Indonesia. Data collection techniques by observation and interviews. The data analysis technique is descriptive analysis. The data obtained will be analyzed using the analysis procedure by Flower and Hayes (1981). According to Flower and Hayes (1981), cognitive process analysis to gather student protocols will be given the opportunity to write recount texts with different themes and then ask them to write out loud near the tape recorder, and ask students to think and write, they are asked to say everything that comes to their mind as they write, including distorted ideas, false starts, and incomplete or fragmented thinking. writers are not asked to get involved or analyze themselves when writing, but only to think hard when writing like people who talk to themselves. The findings obtained are: difficulties experienced by students, namely difficulty generating ideas and difficulty organizing ideas, and the factors that influence these difficulties are students' lack of understanding of themes, language features and general structures, b. Students are not fluent in expressing ideas using English, Students are not used to using English in daily communication, d. Low student interest and motivation in writing English.Keywords: Difficulty, Writing, process, Recount text, Student
Klasifikasi Kualitas Wortel Menggunakan Metode K-Nearest Neighbor Berbasis Android

In several studies, many have produced various programs or applications specifically designed to identify plants, fruits, leaves or others based on the specified characteristics. Of the various kinds of fruits and vegetables, carrots are vegetables that have many benefits and are liked by the majority of people. So it is necessary to choose good quality fruit to produce quality products as well. However, so far, the selection of quality carrots is still using the manual method with the human sense of sight to determine good and bad quality carrots. . Image processing in this application uses the K-Nearest Neighbor (KNN) algorithm which is a method that classifies objects based on the learning data that is closest to the object. In the development of the carrot quality classification application, it is hoped that it can help farmers, industry, or the general public in sorting out good and efficient carrot quality. On the results of the classification using this classification system got a percentage of 74.19%
Disjoint Logics

We will present all the mixed and impure disjoint three-valued logics based on the Strong Kleene schema. Some, but not all of them, are (inferentially) empty logics, while one of them is trivial. We will compare them regarding their relative strength. We will also provide a recipe for building philosophical interpretations for each of these logics, and show why the kind of permeability that characterises them is not such a bad feature. Finally, we will present a three-side sequent system for most of these logics.
FHE-Chaos NHCP: Developing a Novel Secure Framework for Cloud Computing Environment

Cloud computing has gained attention in recent years, and it is now used to support many aspects of human life. The amount of data transmitted via the internet is getting bigger and bigger every day. The increasing volume of essential data focuses on securing the stored data in cloud service providers' remote servers. The primary security obstacle in cloud computing is that the users can not directly control the remotely-stored data. Confidentiality is the most crucial problem in the cloud computing environment. Security has the most pressing concern in the cloud computing environment, and encryption plays a vital role in securing data. The existing methods encrypt the stored data using standard encryption algorithms without achieving the desired confidentiality level. Both symmetric and asymmetric encryption algorithms have some drawbacks. This paper proposes two-hybrid algorithms to overcome these drawbacks and ensure data confidentiality. The first is a hybrid between the Blowfish (symmetric) and Fully Homomorphic Encryption (FHE) symmetric algorithm. However, the second hybrid is the FastRSA (asymmetric) and the FHE symmetric algorithm. By comparing our proposed algorithms with other cryptographic methods, they have less encryption time than AES and Blowfish algorithms. A comparison is performed based on encryption time, throughput, and power consumption parameters. Compared with other encryption algorithms, the proposed method proved superior in processing time efficiency.
Intercultural learning in pandemic era

This study investigated the students' intercultural learning in online classes during the pandemic era. The purpose of this study was to find out the reflection of intercultural learning in the EFL language of sixth-semester students of the English Study Program at Pasir Pengaraian University. This research was descriptive qualitative. The sample of this study was 30 students. The instruments of collecting data were questionnaires and interviews. This study shows that the students' intercultural learning was reasonable. In the teaching and learning process, there was no misunderstanding about the nature or actions of students from different cultural and language backgrounds in teaching and learning activities. Indeed, the process of teaching and teaching runs well. Each student could communicate well and make a good relationship with other people from different cultures. In short, students could develop a broader understanding of their language and cultural differences in the teaching and learning process during the pandemic era.
Opportunities for the utilization of natural fiber fabrics in home living textile products with the “back to nature” lifestyle trend

The lifestyle trend of "Back to Nature" is widely adopted by the people of Indonesia, especially urban residents who adopt a healthy and practical lifestyle and use natural-based products, one of which are fashion products.Many local brand designers respond to this lifestyle by creating clothing with natural fiber-based ingredients that can be used for daily activities, but this method is seen as not yet widely implemented in home living products.Therefore, the authors see a business opportunity that can be developed in the realm of the creative industries, especially home living products by adding elements of natural fiber fabric utilization and other textile craft techniques to the millennial market.This study uses a qualitative method with a business opportunity planning approach.The biggest reason for this is that the adoption of more environmentally friendly methods for the Indonesian fashion industry can be seen to provide many broad benefits.
Smart Cars as a Solution for Overpopulation

The latest citizen census data shows that the world's largest cities experienced a population growth last year.As migrations continue, cities will need to work harder and more efficiently to keep up with the impact of the growing population.Because of this, smart cities will set standards in major metropolitan areas around the world.Self-driving cars would be the solution for overpopulated cities, where citizens will have fast, comfortable, economical, safe, and secure vehicles at their disposal, which allow them to effortlessly reach their destinations on time with the help of the 5G network.The next mobile revolution is upon us, with autonomous vehicles heralded as a new element of road traffic.Using cameras and sensors to process road and traffic data in real-time, these vehicles also exchange information with each other and traffic infrastructure, relieving the driver of numerous tasks.Therefore, besides improving the safety of road traffic, autonomous vehicles will bring significant changes to the society we know today.
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS MOBILE PADA BAHASA INGGRIS

The purpose of this development is to produce a mobile-based interactive multimedia application program product that is eligible for use in high school English learning class XI. Mobile-based interactive multimedia products can be used as complementary supplements in the English learning process. Interactive multimedia application program is packaged into the form of mobile learning with the use of mobile devices or smartphones. The details of the material content and interface design are designed with a user friendly system to be easily understood and used by the user. There are interesting self-contained exercises. The advantages of mobile-based interactive multimedia can be used independently without limited time and space. Can be used clasikall with teacher's guide. Mobile-free interactive multimedia development procedure using Lee &amp;Owens model, 2004. Responses from media experts and material experts to interactive multimedia products received a positive response. Product utilization trials were conducted on grade XI high school students. Overall interactive multimedia products based on English are worth using in learning Abstrak Tujuan pengembangan ini adalah untuk menghasilkan produk program aplikasi multimedia interaktif berbasis mobile yang layak digunakan pada pembelajaran bahasa Inggris SMA kelas XI. Produk multimedia interaktif berbasis mobile dapat digunakan sebagai suplemen pelengkap dalam proses pembelajaran bahasa Inggris. Program aplikasi multimedia interaktif dikemas kedalam bentuk mobile learning dengan pemanfaatan menggunakan mobile device atau smartphone . Rincian konten materi dan desain interface dirancang dengan sistem user friendly agar mudah dipahami dan digunakan oleh pengguna. Terdapat latihan - latihan soal mandiri yang menarik. Keunggulan multimedia interaktif berbasis mobile dapat digunakan secara mandiri tanpa terbatas waktu dan ruang. Dapat digunakan secara clasikall dengan panduan guru. Prosedur pengembangan multimedia interaktif bebasis mobile menggunakan model Lee &amp; Owens, 2004. Tanggapan dari ahli media dan ahli materi terhadap produk multimedia interaktif mendapatkan respon positif. Uji coba pemanfaatan produk dilakukan terhadap siswa SMA kelas XI. Secara keseluruhan produk multimedia interaktif berbasis mobile pada bahasa Inggris layak digunakan dalam pembelajaran
Students’ Perception on Learning Speaking English by Using English Domino Games: The Case of a Private University

This research aimed to see the students’ perception in practicing speaking English using the English Domino game. It was conducted using qualitative research with a case study approach. Fifteen students of the English Department at a private university in Muara Bungo were chosen by using purposive sampling. Furthermore, this research used interviews related to their experience and motivation in speaking English with the domino games to collect the data. The results indicated that the students’ motivation in practicing speaking in English increased by using the English domino games. Most of the students felt relaxed and confident to speak while playing English Domino. They were also excited and motivated to take their turns in telling the connected story. This kind of game can be an alternative for teaching English, particularly speaking in a non-English speaking country.
Pengenalan Flashcard sebagai Media untuk Meningkatkan Kemampuan Bahasa Inggris

Learning abilities so that they can stimulate or encourage the learning process to be more interesting. flashcard is a media that helps in remembering and reviewing learning materials such as: definitions or terms, symbols, spelling of foreign languages, formulas, and others. The purpose of this Community Service activity is to introduce the use of Flashcards in learning English specifically to improve the understanding of the English vocabulary of students and students at SATAP SMPN 2 Kepuh, Kec. Pincincang. Community service activities by providing socialization of the application of flashcard media in learning English in order to improve the students' cognitive abilities and stimulate students to think creatively have been carried out properly. With good cooperation between the implementation team and partners, this community service activity will run as expected. With this service, teachers are expected to be able to implement flashcard media in English, as well as students can understand so that they can improve their cognitive abilities in learning English.
An Online Weighted Bayesian Fuzzy Clustering Method for Large Medical Data Sets

With the rapid development of artificial intelligence, various medical devices and wearable devices have emerged, enabling people to collect various health data of themselves in hospitals or other places. This has led to a substantial increase in the scale of medical data, and it is impossible to import these data into memory at one time. As a result, the hardware requirements of the computer become higher and the time consumption increases. This paper introduces an online clustering framework, divides the large data set into several small data blocks, processes each data block by weighting clustering, and obtains the cluster center and corresponding weight of each data block. Finally, the final cluster center is obtained by processing these cluster centers and corresponding weights, so as to accelerate clustering processing and reduce memory consumption. Extensive experiments are performed on UCI standard database, real cancer data set, and brain CT image data set. The experimental results show that the proposed method is superior to previous methods in less time consumption and good clustering performance.
M‐CoTransT: Adaptive spatial continuity in visual tracking

Visual tracking is an important area in computer vision. Based on the Siamese network, current tracking methods employ the self-attention block in convolutional networks to extract semantic features containing the image structure information of an object. However, spatial continuity is a point of contradiction between two seemingly unrelated challenges, that is, occlusion and similar distractor, in tracking methods. At the same time, it is a spatially discontinuous task to locate a target reappearing after occlusion accurately. The prediction of bounding boxes should be constrained by spatial continuity to prevent them from jumping into similar distractors. This study proposes a novel tracking method for introducing spatial continuity in visual tracking called M-CoTransT; the novel tracking method is developed through the confidence-based adaptive Markov motion model (M-model) and a novel correlation-based feature fusion network (CoTransT). In particular, the M-model provides confidence for the nodes of the Markov motion model to estimate the motion state continuity. It also predicts a more accurate search region for CoTransT, which then adds a cross-correlation branch into the self-attention tracking network to enhance the continuity of target appearance in the feature space. Extensive experiments on five challenging datasets (LaSOT, GOT-10k, TrackingNet, OTB-2015 and UAV123) demonstrated the effectiveness of the proposed M-CoTransT in visual tracking.
Smart card security mechanism with dynamic key

As a currently popular technology, the use of smart cards continues to increase in various fields and the rapid development of technology. Therefore, data security stored on a smart card needs to focus on avoiding misuse of data by unauthorized parties. However, it is not enough for the security mechanism to be carried out only during the communication process of sending data. Then, the mechanism for securing data on the smart card also needs to be done. In this study, a data security technique using dynamic keys is proposed by changing the key and access conditions on the smart card according to predetermined rules. Dynamic keys are a new mechanism proposed to authenticate smart cards using a different key on each card. This technique ensures that the keys used to access each smart card are different so that the risk of data duplication and modification threats can be minimized. In addition, this mechanism is a low-cost security privacy protection. The test results show that the data security technique using dynamic keys ensures that read and write access to the smart card can only be done if the keys match the rules.
Spam text classification using LSTM Recurrent Neural Network

Sequence Classification is one of the on-demand research projects in the field of Natural Language Processing (NLP). Classifying a set of images or text into an appropriate category or class is a complex task that a lot of Machine Learning (ML) models fail to accomplish accurately and end up under-fitting the given dataset. Some of the ML algorithms used in text classification are KNN, Naïve Bayes, Support Vector Machines, Convolutional Neural Networks (CNNs), Recursive CNNs, Recurrent Neural Networks (RNNs), Long Short Term Memory (LSTM), etc. For this experimental study, LSTM and a few other algorithms were chosen for a more comparative study. The dataset used is the SMS Spam Collection Dataset from Kaggle and 150 more entries were additionally added from different sources. Two possible class labels for the data points are spam and ham. Each entry consists of the class label, a few sentences of text followed by a few useless features that are eliminated. After converting the text to the required format, the models are run and then evaluated using various metrics. In experimental studies, the LSTM gives much better classification accuracy than the other machine learning models. F1-Scores in the high nineties were achieved using LSTM for classifying the text. The other models showed very low F1-Scores and Cosine Similarities indicating that they had underperformed on the dataset. Another interesting observation is that the LSTM had reduced the number of false positives and false negatives than any other model.
I–Thou Communication in Distant Education from the Perspective of Martin Buber’s Philosophy

The internet space has become one of the essential tools for ensuring continuity of higher education studies during the COVID-19 pandemic. Established distance learning is based on virtual communication, which, by replacing the experience of interpersonal communication, raises many discussions about the possibilities of ensuring efficiency and improvement of distance education. The article deals with Martin Buber’s dialogue education attitudes, which have become especially relevant in the current era of the internet when the absolutisation of technologies and media poses many threats to developing interpersonal relationships and spiritual values. In the first part of the article, the relationship is discussed as the basic foundation of education. It is revealed that Buber emphasises the importance and priority of I–Thou relationship over theoretical knowledge in developing a young person. In the context of Buber’s philosophy, the second part of the article examines the problems of exclusion and alienation that arise in distance learning during virtual communication. Thus, the analysis of the article reveals the possibilities of improving distance learning in order to raise the objective, formal and instrumental I–It relationship of teachers and students to the subjective plane of I–Thou communication.
THE EFFECT OF TEACHER SELF-EFFICACY TOWARD ENGLISH LEARNING ACHIEVEMENT THROUGH MOTIVATION AS A MODERATOR VARIABLE

In this study, the results of this research to analysis the effect of each variable. There are; (1) to analysis the significant effect of teacher self-efficacy toward English learning achievement, (2) to analysis the significant effect of motivation toward English learning achievement, (3) to analysis the significant effect of teacher self-efficacy toward motivation, (4) to analysis the significant effect of teacher self-efficacy toward English learning achievement through motivation. The results of this study (1) Teacher Self-Efficacy has no significant effect toward English Learning Achievement. (2) Motivation has significant effect toward English Learning Achievement. (3) Teacher Self-Efficacy has significant effect toward Motivation. And the last (4) Teacher Self-Efficacy toward English Learning Achievement through. Motivation has significant effect indirectly. The analysis of this study used descriptive quantitative approach as a research design. In this research questionnaire was used as a data collection instrument. The use of this questionnaire was intended to measure the variable (X1) teacher self-efficacy with a total of 16 questions in the form of statements, (X2) motivation with 15 questions in the form of statements and variable (Y) English learning achievement with a total of 15 questions in the form of statements. Using Google Form to find the significant effect of teacher self-efficacy toward English learning achievement through motivation as a moderator variable. In this study, researchers used a sample of 11th grade students of SMA Negeri 7 Kediri to determine the effect of each variable to be studied. The total population of grade 11 students is 392, so that from the total number of students, 198 students will be taken by random sampling.
Redundancy AES Masking Basis for Attack Mitigation (RAMBAM)

In this work, we present RAMBAM, a novel concept of designing countermeasures against side-channel attacks and the Statistical Ineffective Fault Attack (specifically SIFA-1) on AES that employs redundant representations of finite field elements. From this concept, we derive a family of protected hardware implementations of AES. A fundamental property of RAMBAM is a security parameter d that along with other attributes of the scheme allows for making trade-offs between gate count, maximal frequency, performance, level of robustness to the first and higher-order side-channel attacks, and protection against SIFA-1. We present an analytical model that explains how the scheme reduces the leakage and how the design choices affect it. Furthermore, we demonstrate experimentally how different design choices achieve the required goals. In particular, the compact version exhibits a gate count as low as 12.075 kGE, while maintaining adequate protection. The performance-oriented version provides latency as low as one round per cycle, thus combining protection against SCA and SIFA-1 with high performance which is one of the original design goals of AES. Finally, we assess the leakage of the scheme for the first and the second (bivariate) orders using TVLA methodology on an FPGA implementation and observe resilience to at least 348M traces with 16 Sboxes.