Reviewerly/exHarmony huggingface dataset:
SULUT360 : APLIKASI INFORMASI MOBILE UNTUK DESTINASI PARIWISATA SULAWESI UTARA

Tourism is an activity that is liked by almost everyone, tourism means that we carry out activities to visit tourist attractions that aim for recreation, vacation, or to unwind from the activities we usually do everyday. The provincial government of North Sulawesi must also follow its development by using a digital system available to make the government system better. There is also a system that uses 360-degree technology, namely virtual tours, virtual tours to simulate a place or location consisting of a series of The images from these images are combined to produce a 360 degree panoramic image, this method can take advantage of images or videos. For this reason, he wants to take advantage of this technology in the field of tourism in North Sulawesi so that tourist attractions can be known by local and foreign tourists and also for the government to be able to develop these tourist attractions. As for the problems that exist in North Sulawesi Province, namely the lack of technology or an Android-based application that provides complete information and information on tour packages in the area
Digital educational environment as a factor of developing teacher’s professional reflection

The article explores the problem of teachers’ reflexivity, its influence on the educational process and the specifics of teachers’ professional activity. The research purpose is a theoretical and empirical study of teachers’ reflexivity and its developmental specifics. The main forms of reflexivity development are lecturing, training, analysis, self-analysis and testing. To improve the personality traits which are important for reflexivity development (self-awareness, communication skills, empathy, identification of professional and personal value guidelines, etc.), a teacher may also use different games and tasks, along with various methods of analyzing the lessons and his/her own contribution to them. All these resources should be included in the annual plan of an educational organization. The results of the study allow concluding about the effectiveness of the declared measures for teachers’ reflexivity development. Within the changing domestic education system, one of the key challenges is training teachers who meet the requirements of the modern professional standard. A possible solution to this problem can be systematic work in an educational organization to improve the teacher’s underdeveloped qualities. One of these characteristics, which can influence the improvement of the teacher’s professionalism and ensure the compliance with the professional standard, is reflexivity. Along with the fact that reflexivity is among the most important components of the pedagogical activity, it is necessary to recognize the poor criterial basis for the professional reflexivity of teachers working in educational organizations, namely the applied aspects of its development within teachers’ methodological activity.
ENGLISH AS A FOREIGN LANGUAGE FOR STUDENTS OF STAKN KUPANG: A STUDY OF LEARNERS’ NEEDS

The process in identifying the situation analysis of a target language is called Needs Analysis or Needs Assessment (NA). To be effective and efficient in learning process in English classroom at STAKN Kupang, this analysis is considered important. NA is divided into two parts of analysis namely present situation analysis and target situation analysis. A quantitative approach was used in this research with a survey method. The findings show: 1) In general, the English proficiency of the students of Study Program Christian Religious Education in academic year 2018-2019 was beginner (basic); 2) There were several reasons why they stopped learning English such as the materials used were not applicable on daily basis, their teachers did not use good teaching method, or the materials was not interesting and challenging; 3) Students thought that learning grammar and the differences between Bahasa Indonesia and English is important to be covered in textbooks; 4) Students preferred their teachers to explain the grammatical theories before giving them practice activities; 5) Even though students admitted that English is a difficult language, they agreed that English is very important to be mastered and it has become a language widely used for international occasions.
IMRPOVING STUDENT’S LISTENING COMPREHENSION THROUGH KEYWORD STRATEGY

Listening as the primary skill in learning English plays very important role. This study investigates if Keyword strategy can improve students’ listening comprehension. The study involved 22 students of the second semester Islamic Law Department students at STAIN Sultan Abdurrahman taken by using cluster random sampling technique. The study was a pre-experimental research with one group pretest-posttest design. The research was carried out into three stages: pretest, treatments by using Keyword Strategy, and posttest. The score of pretest was 65.23 (Sufficient) and the posttest score was 77.27 (Good) which further analyzed with a paired simple T-test by using SPSS. The results show that the probability 0.00 &lt; 0.05 indicating that there is a significant improvement on students’ listening comprehension after being taught by using Keyword Strategy.
Generalized differential-linear cryptanalysis of block cipher

Differential-linear cryptanalysis of block ciphers was proposed in 1994. It turns out to be more efficient in comparison with (separately) differential and linear cryptanalytic methods, but its scientific substantiation remains the subject of further research. There are several publications devoted to formalization of differential-linear cryptanalysis and clarification of the conditions under which its complexity can be mathematically accurately assessed. However, the problem of the differential-linear cryptanalytic method substantiation remains completely unresolved.&#x0D; This paper presents first results obtained by the author in the direction of solving this problem. The class of differential-linear attacks on block ciphers is expanded. Namely, both distinguishing attacks and attacks aimed at recovering one bit of information about a key are considered. In this case, no assumptions are made (as in well-known publications) about the possibility of representing the cipher in the form of some two components. Lower bounds of information complexity of these attacks are obtained. The expressions of these bounds depend on the averaged (by keys) values of the elements’ squares of the generalized autocorrelation table of the encryption transformation. In contrast to the known ones, the obtained bounds are not based on any heuristic assumptions about the investigated block ciphers and are valid for a wider class of attacks as compared to the traditional differential-linear attack. Relations between, respectively, differential, linear and differential-linear properties of bijective Boolean mappings are given. In contrast to the well-known works, the matrix form of the relations is used that makes it possible to clarify better their essence and simplify the proofs. A new relation is derived for the elements of the generalized autocorrelation table of the encryption transformation of the product of two block ciphers, which may be useful in further research.
The influence of Think-Talk-Write toward students' descriptive writing achievement at the tenth graders

The objectives of this research were to investigate whether there is positive influence after the implementation of TTW toward students’ descriptive writing achievement and to describe how is students’ response after they are taught by TTW. This research was a quantitative research. The sample of this research was the tenth graders of senior high school students. The writing test which consists of pre-test and post-test was used as the research instrument. The data were analyzed by using Paired Sample T-Test to answer the first question and descriptive statistics was used to answer the second question. The result showed that there was statistically an improvement of students’ descriptive writing achievement of which the result was significant to 0.000 &lt; 0.05. Moreover, the students gave positive response toward the implementation of TTW. It was proved by the result of the analysis of the questionnaire of where the students mostly chose agree and strongly agree. This research suggests that teaching writing descriptive text by using TTW can give positive influence and positive response toward students’ descriptive writing achievement. Keyword: Think-Talk-Write (TTW), writing, descriptive text.
Pelatihan pembuatan dan editing video bagi guru SD untuk menghadapi Era Industri 4.0

The Industrial 4.0 Era encourages educators to be able to apply information technology in the learning process. One application of technology in the learning process is the use of learning videos. Especially during the current Covid 19 pandemic that applies online learning, videos can be an alternative source for learning. However, in reality, many teachers in Indonesia cannot make learning videos. Online learning is currently mostly only in the form of providing material from textbooks, discussions via WA, visiting students' homes to give assignments, and so on, so it is not optimal. Therefore, this training activity aims to train teachers in making learning videos so that teachers have other alternatives as a source of student learning. This activity is in the form of training in making and editing videos using the Bandicam application, Microsoft PowerPoint 2013, and the Kinemaster application. The results of this activity are participants/teachers for the Bandicam application with a 100% success rate, Microsoft PowerPoint 2013 100% success rate, Kinemaster the first stage success rate 70%, then the second stage 100%.
TYPOLOGY OF RESILIENCE STRATEGIES FOR NATURAL DISASTERS IN YOGYAKARTA CITY

Urban areas in disaster prone require increased capacity in order to reduce the risk level. This study identifies resilience strategies in towards natural disasters in the village unit to obtain detailed data. This study uses field observations to find information about resilience strategies that have been carried out by the government and by the public in general and with snowball sampling techniques in each unit of analysis. Some strategies obtained were then made a typology of strategies found in several villages in the city of Yogyakarta. The results of this study are there are two types of strategies for increasing resilience in Yogyakarta, bottom-up strategy and top-down strategy. Bottom-up strategy is a strategy that was indeed initiated and carried out by the village although in the end it still cannot be separated from the role of main stakeholders, among others, is conducting disaster simulations, training in the use of emergency equipment, disaster socialization, planning, and infrastructure preparation. Top-down strategy is a strategy or policy carried out by the regional government in order to coordinate the level of resilience in the entire region of Yogyakarta, including the addition of the Kampung Tangguh Bencana (KTB), village expansion, organizing volunteers, and infrastructure development.
AN ANALYSIS OF LANGUAGE IMPAIRMENT OF AUTISM IN LIFE, ANIMATED FILM

The aims of this study were to find language impairment of autism in Life, Animated film. The autistic child in this film is the second son of Suskind Family This study the writer uses descriptive analysis techniques. The data of this study are the conversation of Life, Animated film. Data analysis techniques used in this study is transcription, classification and analysis. Data source was Life, Animated Film. This study only focused on language impairment. The result of this study shows that Owen language impairments are Owen was confused or needed a help if he have to answer but he was forgotten. His articulation sometimes can be fast or slow, especially when Owen talked with Emily, he articulated slower than usual. He often use word “great” because his vocabularies are low, he confused to understand other people, he was echolalia, his articulation is delay and he like something scripted, but he did not confuse in using pronoun and grammatical. Keywords: Language impairment, autism, life, animated film
Building Personalized Readability Equation and English Vocabulary List for Continued Reading Study in Comparison among Differently Proposed Algorithms

The authors have developed REX, a web application for facilitating English reading study, for non-native speakers of English. REX has a function that personalizes their individual readability equations based on their study logs and that predicts the ease or difficulty of the texts provided. For a parameter of such equations, the rate of difficult words, which does not appear in the specified vocabulary list, is often used, as in some of the well-known readability formulas. On the other hand, we believe that the use of a static vocabulary list to produce its rate does not contribute to personalization, because each learner has different vocabularies. This triggered the authors to incorporate a new function to let learners click their unknown words while they are reading texts, play “English Word Game”, and further predict the status of known/unknown of the wordsin the designated vocabulary list. In this study, we will focus on new labeling algorithms and an experiment to evaluate whether the quality of labeling has been improved. Among the devised several algorithms (A to E), making comparisons is also attempted.
Restricted sub‐tree learning to estimate an optimal dynamic treatment regime using observational data

Dynamic treatment regimes (DTRs), consisting of a sequence of tailored treatment decision rules that span multiple stages of care, present a unique opportunity in our drive toward personalized medicine. Given that estimation of optimal DTRs is often exploratory and communication with clinicians is vital, robust and flexible methods that yield interpretable results are needed. Tree-based methods utilizing a purity measure defined on the full set of covariates have enjoyed much success in meeting this goal. Often, however, it is necessary for clinical, practical, or ethical reasons to restrict certain covariates that should be used when making treatment decisions. Herein we present restricted sub-tree learning (ReST-L), a flexible and robust, sub-tree-based method to estimate an optimal multi-stage multi-treatment DTR that enables restrictions to the set of prespecified candidate tailoring variables. ReST-L employs a purity measure derived from an augmented inverse probability weighted estimator for the counterfactual mean outcome, using observational data to build multi-stage decision trees that are restricted in sub-tree spaces defined by the corresponding prescriptive covariates. We show that ReST-L is able to correctly estimate the optimal DTR searching over a large number of variables with relatively small sample sizes and improves upon competing estimation methods. We demonstrate the utility of ReST-L to estimate a two-stage fluid resuscitation strategy for patients admitted to an intensive care unit with acute emergent sepsis.
The Effectiveness and Application of the School Meal Policy in Improving the Behavior of the High School Students in a Satuan Pendidikan Kerjasama Private School

The Effectiveness and Application of the School Meal Policy in Improving the Behavior of the High School Students in a Satuan Pendidikan Kerjasama Private School.&#x0D; The purpose of this study was to explore the possible relationship between the school meal policy towards the high school student’s behavior academically and non academically in school.&#x0D; Student’s behavior is determined by their daily habits in school. These habits will result in their everyday behavior such as their interest in going to school, their honesty in doing test without cheating, having a healthy relationship with their peers and teacher, and their ability to be punctual in ariving to school or respecting the school timetable as a whole.&#x0D; The researcher recommends that the school administrator should utilize the result of this research to make a better meal policy, with the soul objective of honing the student’s dicipline and improving their behavior in school.
Non-cognitive factors in the development of combinatorial thinking in future elementary school teachers

The article describes the study of the effectiveness of methodological techniques used in classes with students training to become teachers of mathematics in elementary schools in accordance with the methods of teaching mathematics to elementary school students. The methods proposed by the authors activate the mutual connection between logical thinking and several non-cognitive abilities of students. This reciprocal relationship is seen as a means to diagnose and develop students’ combinatorial abilities. The study uses testing methods with subsequent mathematical processing. The non-cognitive factors (level of general cultural development, general humanitarian training, features of the micro-environment, as well as the level of general psychosocial development, etc.) are assessed through the methods of academic success diagnostics, expert assessment of the level of general cultural development, and assessment of the level of psychosocial development. The obtained data were compared with the level of development of students’ logical thinking determined through the Raven test. The formative stage deployed original methodological methods allowing to stimulate students’ interest in composing textual mathematical tasks. The proposed methodological solutions to the problems of diagnosing and developing combinatorial thinking understood as a combination of logical thinking and several non-cognitive factors in future teachers show themselves effective. The proposed hypothesis is that composing textual mathematical tasks for elementary school students is an effective means of developing combinatorial abilities in students. The main conditions stimulating the effectiveness of non-cognitive factors are the increase in the level of an individual’s general cultural development, the expansion of their outlook, and the development of knowledge base, the creation of the “right” atmosphere for creativity, and stimulation of metaphorical thinking in the learning process.
Penggunaan Text Modeling Untuk Identifikasi Kesalahan Penulisan Kata Pada Teks Pidato Bupati Banggai Sulawesi Tengah

Typing errors or typography are errors made when typing a document or text, typing errors can occur due to mechanical failure or slipping of the hand or finger. Generally, typing errors are something that often occurs when someone is typing and is considered normal, but this typing error in some contexts can change the meaning of the word or even the meaning of the sentence itself, This causes the need for correction again after someone has finished typing, but the correction process is mostly still manually so the results of the correction depend on how carefully someone makes corrections and how many documents will be corrected. Therefore we need a system that can make corrections quickly and accurately, the correction process can be done by various methods, one of which is using the text modeling method. In this study, the test data used 10 documents of the Banggai Regent's important speech, Central Sulawesi. The text modeling method can be combined with other supporting methods such as word2vec, where word2vec will be used as a recommendation for corrected words. This study creates a system that can correct word errors in important speech documents of the Banggai Regent, Central Sulawesi by using text modeling and Word2Vec methods, the results obtained from the system that has been made are the system has good performance and gets maximum test results
Cyber Range: Preparing for Crisis or Something Just for Technical People?

Digitalization has increased the significance of cybersecurity within the current highly interconnected society. The number and complexity of different cyber-attacks as well as other malicious activities has increased during the last decade and affected the efforts needed to maintain a sufficient level of cyber resilience in organisations. Due to Industry 4.0 and the advanced use of IT and OT technologies and the adaptation of IoT devices, sensors, AI technology, etc., cybersecurity can no longer considered to be taken lightly when trying to gain a competitive advantage in business. When transferring from traditional reactive cybersecurity measures to proactive cyber resilience, cyber ranges are considered a particularly useful tool for keeping the organisation in the game. With their background in defence research (e.g., DARPA NCP in 2008), cyber ranges are defined as interactive simulated platforms representing networks, systems, tools, and/or applications in a safe, legal environment that can be used for developing cyber skills or testing products and services. Cyber ranges can be considered vital in facilitating and fostering cybersecurity training, certification, and general education. Despite the definition, cyber ranges seem to be only used by military or so-called “technical people” when quite a few more organisations could benefit from them. This article attempts to reveal the secrets behind cyber ranges and their use focusing on suitable target environments, common functions, and use cases. Our main objective is to identify a classification of cyber ranges and skills related to these diverse types of ranges. We emphasise the cyber resilience of any type of organisation that demands the use of cyber range type of training. Different training scenarios improve different sets of organisational skills. The article is based on an extensive survey on cyber ranges, their use, and technical capabilities that was conducted in CyberSec4Europe project.
Knowledge Consolidation based Class Incremental Online Learning with Limited Data

We propose a novel approach for class incremental online learning in a limited data setting. This problem setting is challenging because of the following constraints: (1) Classes are given incrementally, which necessitates a class incremental learning approach; (2) Data for each class is given in an online fashion, i.e., each training example is seen only once during training; (3) Each class has very few training examples; and (4) We do not use or assume access to any replay/memory to store data from previous classes. Therefore, in this setting, we have to handle twofold problems of catastrophic forgetting and overfitting. In our approach, we learn robust representations that are generalizable across tasks without suffering from the problems of catastrophic forgetting and overfitting to accommodate future classes with limited samples. Our proposed method leverages the meta-learning framework with knowledge consolidation. The meta-learning framework helps the model for rapid learning when samples appear in an online fashion. Simultaneously, knowledge consolidation helps to learn a robust representation against forgetting under online updates to facilitate future learning. Our approach significantly outperforms other methods on several benchmarks.