Reviewerly/exHarmony huggingface dataset:
The implementation of Mind mapping technique in teaching reading comprehension

Reading is one of the important skills which should be mastered by students. At the same time, the students have difficulties learning a foreign language. Also, it is believed that every student has a different capacity for learning a foreign language. Therefore, this research aims to find out whether there is a significant difference in students’ reading ability after the implementation of mind mapping in learning reading comprehension and to find out the difficulties of students in learning reading comprehension through mind mapping as the media. In collecting the data the researcher used a reading comprehension test and interview, and the data were analyzed using SPSS program.The result of this research showed that the students’ scores have increased and the T-test revealed that the results are significant; t (two-sided p ) =001 at a significance level of 0.05 (p=001, p&lt;0.05). The data shows that the degree of freedom is 27, the t-value is 6.091 and the t-table is 2.051 with a significance level of 5%, which means the T-Value is higher. It can be concluded that there is a significance improvement between pre-test scores and post-test scores of students’ reading comprehension ability after implementation of the mind mapping technique in teaching reading comprehension.
Content Management System Development for Medical Web Applications

The world of the web and the internet today has become one of the centers for exchanging information between humans, one of which is shown by the development of web applications in the form of content management systems (CMS). By being based on JavaServer Pages (JSP), which has the advantages of being platform-independent, inexpensive and free, and easy to develop, it is possible to become an alternative solution to meet today's general medical needs, namely online and web-based, extensible and customizable. , robust and efficient, secure and authenticated, and easy to develop and maintain. there is a need that turns out to be equally owned and used by only a few medical institutions or there is even a need that is shared by all of them. These needs are developed and used as a standard so that web applications in the medical field are universal and can be used by any medical institution, anywhere, and anywhere. As a result, medical needs that can be implemented into a web application and can be universally applicable.
HUMAN TRACKING OBJECTS IN DARK SITUATIONS BASED ON THERMAL USING SUPPORT VECTOR MACHINES, L1 TRACKER USING ACCELERATED PROXIMAL GRADIENT APPROACH, AND KERNELIZED CORRELATION FILTER METHODS

&#x0D; &#x0D; &#x0D; &#x0D; Pedestrian safety on pedestrian lanes on the side of highways or roads in housing with heavy or quiet traffic conditions needs to be a public concern. Security that must be considered, object tracking is needed to carry out surveillance in improving pedestrian security, and it is also necessary to install thermal camera devices to find out the position of objects such as humans, in various positions of viewpoints that can be applied and applied to monitor the environment. To classify objects such as humans who are in dark or low-light conditions, namely by using the Kernelized Correlation Filter (KCF) tracking method, Support Vector Machines (SVM), and L1 Tracker Using Accelerated Proximal Gradient Approach (L1APG) based on a distance of 10 meters, 15 meters, 20 meters and the size of the object in the dataset. The results of the study with 1684 image inputs. Good performance for each success plot distance on the SVM method is 99.25%, 99.75%, 98.74% because it can track successfully based on the object being traced. Good performance for each precision plot distance on the KCF method of 51.88%, 46.8%, 63.81% has precise accuracy results against the object being tracked.&#x0D; &#x0D; &#x0D; &#x0D;
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this problem, quantum deep learning (QDL) and distributed deep learning (DDL) has emerged to complement existing DL methods. Furthermore, a quantum distributed deep learning (QDDL) technique that combines and maximizes these advantages is getting attention. This paper compares several model structures for QDDL and discusses their possibilities and limitations to leverage QDDL for some representative application scenarios.
Pemanfataan Sensor Proximity Untuk Kran Wudhu Otomatis Pada Mesjid Negeri Larike

Larike country, one of the traditional villages located on Ambon Island and is part of the West Leihitu District, Central Maluku Regency. Larike Country has several unique and interesting tourist areas such as: Batu Layar, Pancoran Kuning, Morea Pond Tour and others, there are several tourist spots that attract the attention of local and foreign tourists to visit Larike Country. The pandemic that has hit the world in the last 3 years requires us to always live healthy both for ourselves and for others. We will be in a new normal condition where we will make new habits in social interaction. The new habits include: always wearing a mask, washing hands before and after doing something especially when in public places, keeping a distance and reducing activities on the spot. The use of the ablution faucet at the Larike mosque still uses a manual faucet that directly touches the faucet and is used by many people. To anticipate the spread of the virus, the use of automatic tools which are appropriate technology, such as the use of automatic faucets in places of worship.
ISL2022: A novel dataset creation on Indian sign language

Standard datasets of Indian sign language (ISL) which are double handed and single handed gestures are developed for research which helps in automated sign language recognition system. The datasets wm provide the researchers an opportunity to develop and investigate the machine learning and deep learning algorithms which are used to recognize the gestures automatically which in turn benefits the speech and hearing impaired population. Authors of this paper have contributed a large amount of standard datasets for ISL. The datasets named ISL2022 has a collection of 117 ISL gestures which includes alphabets & digits(labelled), weeks, months, academic and bank related words, commonly used sentence level gestures which are collected from 85 signers who belong to different age groups and gender which is recorded with difference in background, costume, distance and light variations. A comparative analysis of the created datasets with the existing datasets is highlighted in this paper.
A novel locally connected recurrent neural network for identification of nonlinear dynamical system

In this work, a novel Locally Connected Recurrent Neural Network structure (LLCRNN) is designed for the identification of nonlinear systems. The structure is an extension of a local recurrent neural Network with better dynamic extraction capability. The weights are updated using the offline mode of the gradient descent algorithm. The proposed structure is found to give better identification as compared to other considered neural Network structures such as Feed Forward Neural Network (FFNN) and Local Recurrent Neural Network structure (LRNN). The efficiency of the proposed structure is proved against the selected structures.
Improving Information Writing Skills Using Standard Vocabulary Through Audio Visual Media

This research is a classroom action research that aims to improve writing skills using standard vocabulary in class III students at SDN Sidowangi through audio-visual media. This study uses the research design of Kemmis and Mc. Taggart which consists of two cycles and each cycle consists of planning, implementing actions, observing and reflecting. This research was carried out at SDN Sidowangi involving 14 students consisting of 8 boys and 6 girls. Based on the results of initial observations on students at Sidowangi Elementary School, especially in class III, there are still many who have not been able to write a sentence using the right vocabulary so it needs to be improved. The results showed that the action was obtained. At the pre-cycle stage, the ability to write information using standard vocabulary in class III obtained an average score of 43.13 and in cycle I obtained an average score of 51.4. Both of these scores indicate that from pre-cycle to cycle I there was an increase of 8.27 points. Furthermore, in cycle II students obtained a class average of 85.33. Thus, from cycle I to cycle II students' writing skills using the standard vocabulary of class III at SDN Sidowangi increased by 33.93. It can be concluded that the use of audio-visual media in writing skill material using standard vocabulary can improve student learning outcomes.
Editorial for the Special Issue on Computational Linguistics Processing in Low-Resource Indigenous Languages

introduction Share on Editorial for the Special Issue on Computational Linguistics Processing in Low-Resource Indigenous Languages Editors: Gautam Srivastava Brandon University (Canada) Brandon University (Canada) 0000-0001-9851-4103Search about this author , Jerry Chun-Wei Lin Western Norway University of Applied Sciences (Norway) Western Norway University of Applied Sciences (Norway) 0000-0001-8768-9709Search about this author , Prof. Yu-Dong Zhang University of Leicester, UK University of Leicester, UK 0000-0002-4870-1493Search about this author Authors Info & Claims ACM Transactions on Asian and Low-Resource Language Information ProcessingVolume 22Issue 5Article No.: 130pp 1–3https://doi.org/10.1145/3591208Published:09 May 2023Publication History 0citation29DownloadsMetricsTotal Citations0Total Downloads29Last 12 Months29Last 6 weeks29 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Discourse recognition and analysis of hate speech in Virginia Woolf's “Mrs Dalloway”

Hate speech is a notion that many people see as intuitively easy to grasp, while many others deny it is even an understandable concept. The present article aims to identify and examine the hate speech situations manifested in Virginia Woolf’s famous novel, “Mrs. Dalloway”. An alternative reading of the novel “Mrs. Dalloway” explores the seemingly minor character, but with a substantial impact on the unfolding of the plotline, Miss Kilman represents a secondary objective. Following the triangle, Clarissa Dalloway - her daughter, Elizabeth, and Doris Kilman, the present essay tries to explain the situations in which hate speech occurs in “Mrs. Dalloway”.
THE EFFECTIVENESS OF USING RECIPROCAL TEACHING TECHNIQUE IN TEACHING DESCRIPTIVE TEXT AT SECOND GRADE ENGLISH DEPARTMENT

English is very important for communication. People can express their ideas to communicate. Communication speaks with others. It means that language should be learned by people around the world. Reading is one of the daily activities in human life. Teaching reading English can improve the other skills especially for listening, writing, and speaking. The purpose of reading is to help the reader comprehend the text. In addition, reading gives someone for information and for pleasure. This study is aimed at finding is the effectiveness of using Reciprocal Teaching in teaching descriptive text at the second grade English Department of Madura University in the academic year of 2020/2021. Reciprocal Teaching has four techniques. They are predicting, questioning, clarifying, And summarizing. The researcher used quantitative research, one group pre-test post-test . The population of this research is all students of the English department Of Madura University. The sample was one class; the Second grade of the English department. To analyzing the data, the researcher used SPSS V.16. This research was conducted by giving a pre-test, applying an experiment using reciprocal teaching, and giving a post-test. The data were analyzed using the t-test formula to determine the effectiveness of using reciprocal teaching. The results showed that the average value of the pre-test was 47.4 then after being given the reciprocal teaching technique, the students were given a post-test with an average score of 89.9. The value of the Normality test using the reciprocal teaching technique is 0.795 &gt; 0.05 (Asymp. Sig. (2tailed)). Then, for the significant homogeneity test 0.205 &gt; 0.05 (Asymp. Sig. (2tailed)). Then, for the Hypothesis Test value of (0.000) &lt; 0.005 (Asymp. Sig. (2tailed)) So there is a significant difference between learning descriptive text not using reciprocal teaching technique and descriptive text learning using a reciprocal teaching technique.
An Analysis of Grammatical Errors Made by the Students of English Literature Department

This research aims to identify grammatical errors made by the students of the English Literature department of Universitas Ahmad Dahlan and to describe the process of the occurrence of grammatical errors. This research is a descriptive study that uses a qualitative method. The data are the writing assignments of second-semester students of the English Literature department of Universitas Ahmad Dahlan of the 2018 - 2019 academic year. The researcher read the writings of the students, then wrote and classified the errors made by the students into types of errors due to interlingual and intralingual transfers. This research uses the descriptive analysis method to describe the types of errors. The results show that the types of errors due to the interlingual and intralingual transfer are omission errors, addition errors, misordering errors, and misformation errors. The results of this study are expected to be the basis for minimizing grammatical errors in the English teaching and learning process, especially for writing in English. The results can also be used as a basis for compiling course materials, writing textbooks or modules, especially for making exercises that focus on errors that often occur, to prevent similar errors that will occur in the future.
Colombian Stakeholder Perceptions and Recommendations Regarding Fall Detection Systems for Older Adults

This study aimed to analyze perceptions and recommendations from stakeholders on the effectiveness of fall detection systems for older adults, aside from any additional technological solutions they may use within their activities of daily living (ADLs). This study performed a mixed-method approach to explore the views and recommendations of stakeholders concerning the implementation of wearable fall detection systems. Semi-structured online interviews and surveys were conducted on 25 Colombian adults classified into four stakeholder groups: older adults, informal caregivers, healthcare professionals, and researchers. A total of 25 individuals were interviewed or surveyed, comprising 12 females (48%) and 13 males (52%). The four groups cited the importance of wearable fall detection systems in ADLs monitoring of older adults. They did not consider them stigmatizing nor discriminatory but some raised potential privacy issues. The groups also communicated that the apparatus could be small, lightweight, and easy to handle with a help message sent to a relative or caregiver. All stakeholders interviewed perceived assistive technology as potentially useful for opportune healthcare, as well as for promoting independent living for the end user and their family members. For this reason, this study assessed the perceptions and recommendations received concerning fall detectors depending on the needs of stakeholders and the settings in which they are used.
Postgraduate students’ difficulties and strategies on speaking

In both first and second language acquisition environments, speaking is one of the four macro skills that must be cultivated as a way of effective communication. This study was aimed to explore the postgraduate students' perception of speaking skills and to examine the most dominant problems faced by the postgraduate students in speaking. As a result of this issue, a qualitative research design was developed as an action study in a regular course. Therefore, the subjects of this research were 10 postgraduate students in the first semester at the State Islamic University of North Sumatera. The data were collected by a questionnaire which applied in Google form. The researcher shared the Google form link with the students via WhatsApp message. In analyzing data, the researcher analyzed the data based on each question and answer of the respondent. The researcher analyzed the data one by one to get the point of the research. After that, the whole data are discussed using the theory and continued by concluding. The result shows that it was found that the post-graduate students faced many problems in speaking in the target language, such, pronunciation, grammar, vocabulary, fluency, and speaking. There were also other problems such as lack of confidence and did not have any brave to speak in the second language.
University’s Educational Cost ：Case Study of ‘K’ University

[연구목적] 본 연구의 목적은 K대학의 실제 자료에 기초하여 학과별 교육원가와 학생 1인당 교육원가를 산정하는 것이다. 그리고 교육원가를 활용하여 학과별 재정자립도와 교육비 환원율을 산정하여 비교 및 분석하는 것이다.[연구방법] 연구목적을 달성하기 위해 교육원가 산정과 관련된 문헌고찰을 하고, 이를 기초로 K대학의 실제 자료에 근거하여 사례연구를 한다. 사례연구를 위해 관련 재무자료를 수집 및 분석하고, K대학 구성원들과 인터뷰도 병행한다.[연구결과] K대학 자료를 분석한 결과 단과대학별, 학과별 교육원가에 큰 차이가 있을 뿐만 아니라 학과별 학생 1인당 교육원가에도 큰 차이가 있는 것으로 나타났다. 그리고 단과대학별, 학과별 재정자립도와 교육비 환원율 등에서 큰 차이가 있는 것으로 나타나서, 학과별 수익성이 크게 다름을 확인하였다.[연구의 시사점] 본 연구의 결과는 대학의 전략적 의사결정을 위해서는 교육원가 산정이 선행되어야 함을 보여준다. 그리고 학과별 교육원가와 교과목별 교육원가 등을 고려하여 수익성 개선안을 모색할 필요가 있음을 보여준다. [Purpose] The purpose of this study is to calculate the educational cost for each department and the educational cost per student based on the actual data of K University. In addition, it is compare and analyze the financial independence and the return rate of educational expenses.[Methodology] In order to achieve the purpose of the study, literature review related to the calculation of educational costs is conducted, and based on this, case studies are conducted based on actual data of K University.[Findings] As a result of analyzing K University data, it was found that not only there was a big difference in educational cost by department, but also there was a big difference in educational cost per student by department. In addition, there was a big difference in the degree of financial independence and the rate of return on education expenses by college and department.[Implications] The results of this study show that the cost of education should be calculated in advance for the strategic decision－making of universities, and it is necessary to seek ways to improve profitability by considering the cost of education by subject and cost of education by subject.
Design of Data Management Information System for Real Work Practices at the Faculty of Teacher Training and Education, Sebelas Maret University, Surakarta

Real Work Practice (PKN) is one of the academic activities that must be followed by all students in study programs at the Teaching and Education Faculty (FKIP) Sebelas Maret University Surakarta (UNS). The implementation of Internship is an obstacle for FKIP UNS which has students from various regions and these students choose their own place for the Internship. FKIP UNS will find it difficult to monitor students in carrying out PKN if the accompanying lecturers have to visit one by one where students carry out PKN. This makes the goal of FKIP UNS in providing work experience in the real world not well achieved. From the problems above, the researcher proposes to design a web-based PKN data management information system at FKIP UNS. The formulation of the problem that the researcher will solve in this study is, "How to design an information system for PKN data management at FKIP UNS". Boundary The problems that the researchers discussed in this study focused more on the process of recording PKN data within FKIP UNS. The method used to design PKN data management information systems at FKIP UNS is the Software Development Life Cycle (SDLC) with the Waterfall model. The programming language used to design PKN data management information systems is PHP Native and the MySQL database as data storage media. This study aims to design a system that can facilitate the management of PKN activities at FKIP UNS, reduce the risk of errors occurring in PKN data management, and present PKN report information quickly, precisely and accurately. With the implementation of the PKN data management information system, PKN activities can be well documented and easy to monitor.
Development of Lecture Schedule System in Politeknik Harapan Bangsa Surakarta

Politeknik Harapan Bangsa Surakarta (Polhas) is one of the colleges in Surakarta city. This college has lecturer and staff to help the students. The duties of this staff are to arrange the classes schedule and the duties of the lecturer is carrying out the learning require a schedule to be able and find out what courses are taught. This college are required to have a Lecture Schedule System in addition to avoid collisions between teaching hour and lecture room. Another reason is to regulate learning and run effectively and efficient. Polhas has an online lecture schedule system but there are several features that must be improved, added, and removed to the system. Finally, the college can reuse the system as much as possible. Based in the background study the researcher finds the formulation of the problem is How to develop a classes schedule for Polhas which originally already exist and can be used by the campus with the latest feature. The limitations of the problem made by the researcher in the form of room classes and hour, parties in needed (admin, lecture and student) and a system made by online. To develop the schedule lecturer is using the PHP programming language and SQL database.
Analisis Akurasi Penerjemahan Bahasa Arab Lewat Fitur Auto Translate pada Aplikasi Twitter

This study aims to describe the errors and accuracy of translation on automatic translation machines on the Twitter application and to find out the automatic translation procedures carried out on the Twitter application. The method used by the authors in this study is a qualitative research with a descriptive approach. The data obtained in this study was carried out by observation or indirect observation of uploads contained in the Twitter application where there were irregularities in the translation. Researchers utilize sources that come from Twitter users who use Arabic in their "tweets". This study also used a simple random sampling technique (simple random sampling). The results obtained in this study indicate that there are deviations in meaning or translations made on the automatic translation machine on the Twitter application which causes the translation results to be incompatible between the Source Language (SL), namely Arabic to the Target Language (TL), namely Indonesian. The existence of deviations or word errors in the translation results carried out in the automatic translation of the Twitter application is due to differences in sentence structure arrangement between SL and TL and there is no equivalent word.