Reviewerly/exHarmony huggingface dataset:
The Measurement of Validity, Stability and Consistency in Essay Writing Structuring Techniques Based on Interactive Multimedia Graphic: A Case-Study in Malaysia

In this modern era, the essay writing techniques are required to be aligned with the sustainability in acquiring information through digital and virtual materials. In getting research results, which are innovative, creative, and critical, this research was conducted to measure the validity, stability, and consistency of essay writing structuring techniques by using the interactive multimedia graphic materials. A quasi-experimental method is used based on the quantitative research design. The sample consists of 30 secondary school students in Shah Alam, Selangor. The data were analyzed descriptively through mean and standard deviation. The data were also tested by inference using ANCOVA statistics. The results showed a significant difference, that is, F=13.3, at the level of &lt;0.05. The implication of this research is that the knowledge of the interactive multimedia graphic material is essential to the technical structure in essay writing especially when involving the writing skills element, namely in the Learning and Facilitation (PdPc) of Malay language.
EXTRA TREES METHOD FOR STOCK PRICE FORECASTING WITH ROLLING ORIGIN ACCURACY EVALUATION

Stock is an investment instrument that has risk in its management. One effort to minimize this risk is to model and make further forecasts of stock price movements. Time series data forecasting with autoregressive models is often found in several cases with the most popular approach being the ARIMA model. The tree-based method is one of the algorithms that can be used to forecast both in classification and regression. One ensemble approach to tree-based methods is Extra Trees. This study aims to forecast using the Extra Trees algorithm by evaluating forecasting accuracy with Rolling Forecast Origin on BRMS stock price data. Based on the results obtained, it is known that Extra Trees produces a fairly good accuracy for forecasting up to 6 days after training data with a MAPE of less than 0.1%.
Open Relation Extraction with Non-existent and Multi-span Relationships

Open relation extraction (ORE) aims to assign semantic relationships among arguments, essential to the automatic construction of knowledge graphs (KG). The previous ORE methods and some benchmark datasets consider a relation between two arguments as definitely existing and in a simple single-span form, neglecting possible non-existent relationships and flexible, expressive multi-span relations. However, detecting non-existent relations is necessary for a pipelined information extraction system (first performing named entity recognition then relation extraction), and multi-span relationships contribute to the diversity of connections in KGs. To fulfill the practical demands of ORE, we design a novel Query-based Multi-head Open Relation Extractor (QuORE) to extract single/multi-span relations and detect non-existent relationships effectively. Moreover, we re-construct some public datasets covering English and Chinese to derive augmented and multi-span relation tuples. Extensive experiment results show that our method outperforms the state-of-the-art ORE model LOREM in the extraction of existing single/multi-span relations and the overall performances on four datasets with non-existent relationships.
Conservative Extensions for Existential Rules

We study the problem to decide, given sets T1, T2 of tuple-generating dependencies (TGDs), also called existential rules, whether T2 is a conservative extension of T1. We consider two natural notions of conservative extension, one pertaining to answers to conjunctive queries over databases and one to homomorphisms between chased databases. Our main results are that these problems are undecidable for linear TGDs, undecidable for guarded TGDs even when T1 is empty, and decidable for frontier-one TGDs.
Action research for preparing guidelines of instructors’ oral feedback on undergraduate students’ collaborative writing

교수자의 구두 피드백 및 협동 작문에 대한 피드백은 그 의의와 필요성에 비해 현장 실천 및 연구가 부족하다. 이에 이 연구는 협동 작문에 대한 교수자의 면대면 구두피드백의 실행 지침을 마련하려는 목적으로 기획되었다. 이를 위하여, 실행 연구 방법론을 도입하여 두 차례의 실행을 거쳐 최종 피드백 지침을 마련하였다. 15명의 참여자들이 2인 1조 6개 모둠, 3인 1조 1개 모둠으로 나뉘어 협동 작문을 실시하였으며, 해당 과정 산물 및 결과물을 기반으로 실시된 모둠별 구두 피드백에 참여하였다. 이 과정에서 피드백 녹취본, 참여자의 협동 작문 산물과 피드백에 대한 자기 보고, 그리고 교수자의 피드백 수행일지가 수집되었다. 연속적 비교법에 의거하여 각 실행 회차별 자료들이 분석되었으며, 1차 실행 계획은 선행 연구에 대한 검토로부터, 2차 실행 계획은 1차 실행의 결과 및 성찰로부터, 그리고 최종적인 피드백 실행 지침은 2차실행의 결과 및 성찰로부터 도출되었다. 이 과정을 통해, 일방적인 의사소통을 지양하고 대화로서의 장점을 적극적으로 도입하는 한편, ‘협상’과 ‘비계’의 두 축을 잘 조화시키는 방향을 추구하고자 하였다. 2차에 걸친 실행과 성찰 과정을 통해, 협동 작문에 대한 구두 피드백의 최종 지침은 모둠별 피드백으로서 상호 의사소통의 기회를 더욱 확대하기 위하여 학습자 간 소통 및 협동 경험에 대한 생각 나눔과 관련된 지침을추가하였다. 또한 교수자의 견해에 학생들이 영향을 받지 않도록 가급적 학생 의견을먼저 청취하는 한편, 교수자 조언의 일방적 전달로 여겨질 수 있는 지점들을 최소화하고 서로의 생각을 나누는 차원의 성격을 더욱 살리기 위한 세부 지침 및 학생의 추가 반응을 독려하기 위한 지침 등을 포함하는 방향으로 개선되었다.Despite the significance and necessity, relevant field practice and research on the instructors’ oral feedback and feedback on collaborative writing are lacking. This study was designed to prepare guidelines for the instructors’ face-to-face oral feedback on collaborative writing. To this end, an action research approach was introduced and the final feedback guidelines were yielded through two executions. Fifteen participants were divided into six groups of two people and one group of three people. They performed collaborative writing and participated in oral feedback for each group based on their writing activities. Feedback transcripts, self-reports of the participants’ collaborative writing products and feedback, and the instructor’s feedback performance log were collected. The initial guidelines were based on the following principles: avoiding one-sided communication and harmonizing the two axes of ‘negotiation’ and ‘scaffolding’. The final guidelines were derived from two executions, which further expand opportunities for mutual communication and enhance the dimension of sharing thoughts and ideas. Educational implications and limitations were also discussed.
Improving Usability Testing Tool with Web Usage Pattern Visualization Analysis

As the demand for remote user research increased since the COVID-19 outbreak, the need for “contactless” remote user survey tools became emphasized and utilization of such tools has been accordingly accelerated. When conducting a contactless remote user test, it is necessary to compensate for each weakness by analyzing both quantitative and qualitative data. However, while studies on quantitative user behavior data analysis are focused, visualizing user web behavior pattern data are insufficient. Therefore, in this study, we propose a web usage pattern visualization tool that is simply analyzes quantitative and qualitative data together.&#x0D; By deriving the functions to be provided by the remote usability evaluation tool, three prototypes used in the UT evaluation stage and three prototypes used in the UT analysis stage were proposed. Afterward, improvement of each prototype was derived through expert evaluation and the prototype was supplemented.&#x0D; This study has the expected effect of presenting a direction to view both quantitative analysis data and qualitative data in the stage of analyzing usability tests. However, there is a limitation in that the user test wasn’t conducted using the proposed prototype. So additional research should be conducted in the future, and the service needs to be improved based on the user test.
Enhanced convolutional neural network based android software maintainability prediction

Advancement in mobile technology, necessitates quality in development of android applications. To improve the quality of android application, evaluation of its maintenance has to be started from the initial stage of development. There are several existing models involved in android application maintenance evaluation, but most of them suffers from the class imbalance problem and its performance depends on the size of the dataset. This paper focuses on overcoming the class imbalance while using convolutional neural network for prediction the android application maintainability. In this work both android metrics and object-oriented metrics are used for evaluating the android application maintainability. The standard convolutional neural network is enhanced by pretraining it using evolutionary algorithm known as moth flame optimization (MFO). The MFO involves in optimizing the learning parameters of convolutional layer and after the training process is completed, with the acquired knowledge it handles the small size dataset very effectively during the testing phase. Thus, the simulation results of maintainability prediction in android application development using proposed enhanced CNN achieves better result while comparing with other standard classification models.
SCUC-DSAC: A Data Sharing Access Control Model Based on Smart Contract and User Credit

In the context of today's big data era, there is an urgent need for data sharing in various industries. Traditional data sharing schemes are highly centralized and have problems such as single point of failure and data privacy leakage caused by the vulnerability of data storage systems to attackers, and there are also problems such as difficulty in determining data ownership, insufficient granularity of access control, and low transparency of data sharing process. In this paper, an access control model for data sharing based on smart contract and user credit (SCUC-DSAC) is proposed. Based on the consortium blockchain, the attribute-based access control strategy and user credit are combined to provide dynamic and fine-grained access control for users. The data in the model is encrypted and stored in the interstellar file system. The access authorization process is implemented in the smart contract to improve the transparency of the data sharing process. Theoretical and experimental analysis shows that this model meets the functional and security requirements in data sharing scenarios, and the performance of blockchain network is good.
Implementasi Computerized dalam Pembelajaran Siswa di SMP N 1 Kemusu

The purpose of the Teaching Campus is to present students as part of strengthening literacy and numerization learning, and to assist learning during the pandemic, for elementary schools and junior high school in the 3T area. This program is supported by the Education Fund Management Institute (LPDP). Campus Teaching class 2 is an activity carried out for approximately 5 months that supports students in implementing the Campus Teaching program batch 2 to go directly to the real world. In this activity students help teachers teach, adapt technology, and help school administration and teachers, and the results of this experience, the author can conclude that this program is very helpful for teachers or schools, where this program is useful and beneficial for students.
Andean pre-Hispanic pottery forming 3D analysis: a pilot study from Quebrada de Humahuaca (Argentina) using digital methods

Digitization, three-dimensional (3D) documentation and visualization of archaeological materials are processes in increasing development that are used for the enhancement of heritage. These tools have multiple uses for the analysis and research of archaeological objects, although their use in pottery forming techniques studies is less explored. In this paper, diverse digital methods are explored in the study of pottery forming macro-traces, using the 3D model of an archaeological vessel from South-Central Andes. This case is proposed as a pilot study, aiming to reveal the potential of digital techniques for understanding pottery forming techniques. The particular case analysed corresponds to a globular pot of the Humahuaca Black-on-Red style, recovered at the Pucara de Volcán archaeological site, in Quebrada de Humahuaca (Jujuy, Argentina). Initial studies of macro-traces on the pot suggested the use of paddling as the forming technique. The workflow used to contrast this hypothesis included the generation of a 3D model by close-range photogrammetry; and the analysis of the resulting point-cloud and mesh using Morphological Residue Model (MRM) and Virtual Reflectance Transformation Imaging Visualization (V-RTI), with diverse open-source software packages, such as AliceVision Metashape and CloudCompare. These methods increased the micro-topography visibility of the pot surface. As a result, the presence of sub-circular depressions in the body of the pot -similar to percussion cupules-, horizontal pressure lines in the collar, and micro-pull-outs in the maximal diameter of the pot were described. These macro-traces were interpreted as corresponding to the paddling technique used for the elaboration of the pot body —a technique not previously identified in pre-Hispanic traditional pottery manufacturing in the north of Argentina—, and of coiling for manufacturing the collar. The digital methods explored have great potential in the study of pottery forming techniques, although their scope depends on the accuracy of the 3D model analysed.
HungerHash: A Distributed Network for Child-Hunger Relief based on Hedera Hashgraph

This paper proposes a hunger relief network based on crypto-currency and a hybrid mix of centralized and decentralized databases which is totally formed by the volunteers and donors and is out of control of centralized organizations. The centralized part of the database maintains non-sensitive information with less need to security features, mainly providing motivative information for donors and giving feedback to know that how their gifts were spent. The decentralized part of the design is based on a third-generation Distributed Ledger Technology which contains sensitive information of payments and receipts and flow of supply chain, which is designed to be fast, secure and fault tolerant.
Pengembangan Media Pembelajaran Berbasis E-Learning Menggunakan Chamilo di SMAN 13 Padang

The development of E-Learning-Based Learning Media Using Chamilo at SMA Negeri 13 Padang was motivated by the lack of use of e-learning learning media in the teaching and learning process.The purpose of this study was to determine the results of expert validation, teacher responses, student responses and the practicality of media at SMA Negeri 13 Padang. The research method used is Research and Development (R&amp;D). The subjects in this study were students of class XI IPS SMA Negeri 13 Padang. The data analysis technique used in this research is validation analysis using ICC, Teacher Response, Student Response and Practicality.The results of the study show that: 1.) Making e-learning learning media using chamilo includes validation by experts in the fields of media, education, information technology and language. In order to obtain media validation data and process it using the Intereclass Coefficient Correlation (ICC) formula assisted by the SPSS program, the result is 0.934. If the result is more than 0.50, the validation level is considered appropriate. 2.) The results of the geography teacher's response at SMA Negeri 13 Padang are expressed in terms of an average score of 94% belonging to the very interested category. 3.) The results of student responses in the small group trial obtained an average percentage of 77% while in the large group trial the average percentage was 77.5%. 4.) and the practicality of the media obtained a percentage score of 88% with the category "very practical". This shows that the e-learning-based learning media that has been developed can be used in SMA Negeri 13 Padang. Kata Kunci : E-Learning, Chamilo, Media, Development
Development of an Evolutionary Cost Sensitive Decision Tree Induction Algorithm

This paper develops an Evolutionary Elliptical Cost-Sensitive Decision Tree Algorithm (EECSDT) which learns cost-sensitive non-linear decision trees for multiclass problems. EECSDT is developed by formulating the problem as an optimization task in which the objective is to minimize classification cost and where elliptical decision boundaries are adopted instead of axis parallel boundaries. EECSDT is implemented using MOEA, a framework for multi-objective evolutionary algorithms, and evaluated on fourteen data sets. An empirical evaluation with J48, NBTree, MetaCost, and the CostSensitiveClassifier in Weka shows that EECSDT performs better on 11 out of the 14 data sets in terms of accuracy, and 10 out of the 14 data sets in terms of minimizing cost. It also produces smaller trees on 8 out of the 11 datasets for which it achieves higher accuracy than use of axis parallel boundaries.
Students’ Public Speaking Assessment for Informative Speech

Public Speaking is considered as an essential skill for University Students. Public speaking is having a speaker stand before the audience to deliver a speech in a structured manner, to either persuade, inform, or entertain the audience.This study aimed to reveal the extent of students’ skills in public speaking skill especially for persuasive and informative speech. This research was descriptive quantitative. Data were obtained from students' public speaking test of 58 English studentsat English Department University of Pasir Pengaraian and analyzed and described in qualitatively. The finding came up with encouraging numbers of results where a greater proportion of the samples reported significant number in good level of categories in assessing public speaking skill. More over, the result showed that the highest score of students’ in public speaking skill was in vocabularies and comprehension. Besides, it was indicated that the students gradually could express their thought and opinions smoothly in informative speech then persuasive speech.
Developing an Auditing Interactive Electronic Textbook With Google Slide and Quizizz

This research was carried out at an undergraduate Accounting Department in a university at Pekanbaru, Riau. The participants were three auditing experts, an information technology expert, eight lecturers teaching auditing, and 87 students from the auditing department (they took Auditing 1, auditing 2, and auditing practice courses). This study adopted the R D method to develop an Interactive Electronic Textbook (BAEI) for Auditing courses using Google Slides and Quizizz applications. The results revealed that the auditing BAEI was designed to be validated by experts, a lecturers group, and students indicating a high interest in the developed auditing BAEI.
Classroom Management in Applying Android Applications as Learning Media in Online Learning: EFL Students’ Perceptions

English pronunciation should be taught effectively during pandemic in online learning. In classroom management, android application as learning media is one of the solutions in classroom management to help the learners practice pronunciation in English Phonology class. This study can help teachers evaluate classroom management for future learning in EFL during the Covid-19 pandemic for English pronunciation issues more accurately than before. This study aims at investigating EFL students’ perception of classroom management in online learning in the English pronunciation class during the covid-19 pandemic by applying android application as learning media. The method of the research was descriptively quantitative. The sample of this research was 34 students. The instrument for this research was a set of questionnaire of 20 questions delivering to the students by Google form. After getting the data based on the students’ answer in questionnaire, the data was analysed. The data analyzed by counting the percentage of each option of four, and give description on it. The result of the research stated that the students’ perception about classroom management in applying android application as learning in online learning was very helpful since it supported the students’ learning while using android application. However, only a few student was saying not helping them because this application only available in android mobile phone not in the IOS. The conclusion of the research was the students’ perception in classroom management in online learning was helpful themselves to learn English pronunciation by applying android application.
Machine Translation in Website Localization: Assessing its Translation Quality for Language Learning

This study seeks to investigate the quality of translation generated by a popular Machine Translation (MT) platform, viz. Google Translate (GT) in translating the content of a Russian flight charterer’s website from English into Indonesian. To analyze the translation quality produced by MT, we compared the original translation of the website texts translated by a human translator and the machine-translated version. The translation quality is limited to the readability level. The texts serving as the data were collected from the menus of a Russian flight chartering service website which was originally translated by an Indonesian translator. An analysis further discovered that the translation produced by MT is divided into two quality categories: less readable and readable. The less readable translation is caused by MT’s inability to adjust to stylistic forms in Indonesian, failure to do adaptation strategy and in some cases, MT tends to follow the same sentence structure of the original text (source text).
Learning Management and ICT on the Learning Effectiveness: A Literature Review from Diverse Lenses

The study aims to understand the use of Information and Communication Technology (ICT) as well as learning management which has a very important position in increasing the effectiveness of the teaching and learning process. Various obstacles, difficulties, and limitations are faced in the teaching and learning process, starting from the factors of students, students' families, as well as the use of information technology which is still not optimally and equally distributed both in terms of equipment and management. This study uses a literature review as the research method. Ten articles were the data of this study gained from the digital literature search. The data was then analysed using the content analysis method. The results reveal that it can be seen that effective learning can be applied if the learning management is structured and implemented properly by all related parties. This learning management concept had implications for Indonesian education during the COVID-19 pandemic. It cannot be separated from the use of ICT, where there are still obstacles or limitations both in terms of knowledge and existing facilities for teachers and students. These obstacles can be overcome by optimizing facilities for users and training to improve technical knowledge and use. Educators' and students’ good mastery will enable an increase in the effectiveness and efficiency of the learning process.
Using Digtogloss Dictation Method to Improve Students’ Skills in Writing Narrative Text

The purpose of this study described the use of digtogloss method to improve students’ skills in writing narrative text. This study was classroom action research which consisted of planning, implementation, and reflection. The qualitative data was gathered using an observation sheet, an interview, diary notes. The quantitative data was taken from the writing test. The data in this study was analyzed qualitatively and quantitatively. The findings of quantitative analysis showed that the mean of pre-test was 40.67. In cycle one, the mean of first post-test was 65.6. In cycle two, the mean of second post-test was 70.17. Based on the findings of this study, it was concluded that the application of dictogloss method improved students’ ability in writing narrative text. The finding of the qualitative analysis showed that the students were interested in writing narrative text through digtogloss method.