Reviewerly/exHarmony huggingface dataset:
PENERAPAN ALGORITMA RABIN KARP PADA APLIKASI KATALOG PAKET UMROH MENGGUNAKAN WEB

The journey to get to the Holy Land is somewhat complicated but along with the times, departing Umrah becomes easy because now many travel agents receive Umrah travel services. At present many agents accept Umrah travel services, but there are also some travel agents that are illegal and are not registered with the Ministry of Religion. Such travel agents harm Umrah pilgrims who want to practice their religion. With the price of cheap Umrah trips become an attraction for pilgrims and do not pay attention to the legality of the travel agent. And in the end pilgrims did not depart with various reasons to cover up the crime of the travel agent. For this reason, pilgrims need an application that can provide information searching for Umrah packages with consideration of the same facilities. And making this application can make it easier for prospective pilgrims to choose the same facilities with prices according to ability. Not only can know the price, prospective pilgrims can also see information on facilities and also the officiality (legality) of the travel agent. This research was conducted to make it easier for prospective pilgrims to choose facilities, prices and legality of the travel agent, and also apply the Rabin Karp algorithm and design a web-based Umrah package catalog application. Based on the results of the analysis, this system can help prospective Umrah pilgrims visitors with a success rate of 79.45% to determine the search results for prospective Umrah pilgrims.Keywords: umroh package catalog, rabin karp, string matching
Model Jaringan Syaraf Tiruan untuk Memprediksi Indeks Plastisitas Tanah

Rahmawati W, Suharyatun S, Sugianti C. 2019. Artificial neural networks model to predict soil plasticity index. In : Herlinda S et al. ( Eds. ), Prosiding Seminar Nasional Lahan Suboptimal 2019, Palembang 4-5 September 2019. pp. 418-423. Palembang: Unsri Press. Soil index plasticity is an important soil physical property of the soil related to the tillage intensity , especially if it is done by machine such as a tractor. This study aim is to build an artificial neural network (ANN) model that connects the soil texture with the  soil index plasticity. The research was conducted in several stages, namely: (1) soil texture determination, plastic limit and liquid limit in the laboratory, (2) plasticity index calculation, (3) Soil texture-soil plasticity index ANN model built. ANN models are created using 3 input variables, namely x 1 : clay content, x 2 : silt content and x3: sand content. The model uses 2 layers, with a logsig-tangig-purelin activation function. The results of the model training resulted in a RMSE (Root Mean Square Error) value of 1.6542 and an R2 value of 0.9570. Model validation produces a correlation value of predictive data and R2 observation data of 0.9332. Keywords: artificial neural network models, soil consistency, soil physical properties, soil texture
The interactive ability design of artificial intelligence based on the attention allocation mechanism of interactive perception

This article elaborates that the human brain structure determines that the people cannot really do "multitasking", but can consciously overcome the bottleneck of attention thinking, distribute the attention thinking rationally. Meanwhile, a lot of experimental cases show that people can finish 2 tasks at the same time if one is familiar with one task or by shifting the thinking quickly, thus "multitasking" is achieved. And intelligent interaction based on how the attention distribute has become one of the current development trends. According to 3 types of interactions based on the progressive decreasing of attention requirement, we provide a standardized definition to the interaction design, and extract the typical proposals. Attention is one factor when a user is thinking his/her preferred interaction. It is proved that, compared with the traditional "undivided attention", "multitasking" is more flexibility in dealing with problems. It is an essential thinking ability evolved for human to adapt to the development of science and technology and improve the social productivity.
The Teachers’ Problems in Teaching Speaking Skill. (A Case Study of English Teachers at MTS Islamic Modern Boarding School Manahijussadat)

Lismida Faoziah.152301851.2019. The Teachers’ Problems in Teaching Speaking Skill. (A Case Study of English Teachers at MTS Islamic Modern Boarding School Manahijussadat) This research investigates “The teachers’ Problems in Teaching Speaking Skill at MTS Islamic Modern Boarding School Manahijussadat”. The objectives of the research are; describing the problems faced by the teachers in teaching speaking skill at MTS Islamic Modern Boarding School Manahijussadat; and describing what the teachers do to overcome the problems are faced by the teachers. This is a qualitative research with observation and interview as the research instrument involving four English teachers’ two students as the sample. Based on the findings, teachers had problems in teaching speaking which caused by three factors: Teaching Constraints, Learner’s Problems, and the lack of necessary Facilities in teaching speaking skill. The teachers’ effort in overcoming the problems are choose and used the suitable technique in teaching speaking skill, teachers encourage and motivates the students attitude towards English speaking skill, and facilitating students’ learning speaking skill. The researcher suggested some theories from the expert to overcome the problems is the implicit and explicit of teaching English speaking in EFL classroom. Key words: Teachers’ problems, Teaching Speaking Skill, Overcoming the Problems
THE USE OF GRAPHIC ORGANIZERS TO IMPROVE STUDENTS’ WRITING SKILL OF JUNIOR HIGH SCHOOL

The objectives of this research are (1) to find out whether Graphic Organizers can improve writing skill of Eight Grade students of SMP N 4 Sukoharjo in 2017/ 2018 Academic Year (2) to find out how is the class condition when Graphic Organizers is implemented in writing class at Eight Grade of SMP N 4 Sukoharjo in 2017/2018 Academic Year. This researcher held from January 2017 to January 2018. In this research, the researcher conducted two cycles. Each cycle consisted of two meetings and one posttest. Each cycle had four steps: planning, action, observation, and reflection.  In  collecting  the  data,  the  researcher  used  observation,  interview, document, and test. In analyzing the data, the researcher used quantitative and qualitative data analysis. The researcher conducted pre-test, post-test 1 and post-test 2 to get raw data. After the researcher had the data, the researcher calculated the mean score from the pretest, post test1 and posttest 2. The researcher also calculated t-value using t-test. The result of this research shows that there was improvement in students’ writing  skill.  Based  on  the  mean  score  of  the  students  in  pre-test  was  19,34, meanwhile in the post-test I of cycle I, it increased to 60,5. In the post-test II of cycle II the value had increased to average value 72,9. Besides, the class condition was better where the students’ enthusiasm was increased to learn English. The students were able to transform their idea into written form using graphic organizers. Based on the  result  above,  it  can  be  concluded  that  (1)  Graphic  Organizers  strategy  can improve  students’  writing  skill  in  class  VIII  G  of  SMP  Negeri  4  Sukoharjo  in 2017/2018   Academic   Year   and   (2)   class   condition   was   better   after   the implementation of Graphic Organizers strategy. Graphic Organizers strategy can be new way in teaching learning to improve students’ writing skill.
World-Class Web Design in Naples, FL by Solve Design Create

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Pengembangan Media Pembelajaran Menggunakan Metode Blended Learning Berbasis Moodle Untuk Meningkatkan Motivasi Belajar pada Mata Pelajaran Dasar Desain Grafis Kelas X di SMK Muhammadiyah 1 Klaten

This research is the development of learning media using moodle andapplying the blended learning method by using moodle to help improve thelearning effectiveness of students at SMK Muhammadiyah 1 Klaten. The researchmethod in this study uses Research and Development (R&D). The procedure inthis study is the stage of problem identification, data collection information,determining the design, conducting media validation, media revision, materialvalidation, material revision, student trials, product revisions, and final products.The results of this study indicate that the percentage of the feasibility of theaverage value of media experts is 79.55% which is included in the feasiblecategory, and material experts are 75% which is included in the feasible category.While by 16 students using the SUS questionnaire in SMK Muhammadiyah 1Klaten itself obtained 71.25% results included in the Acceptable category. Theaverage test results of the student pre-test score was 58.75% and post-test was81.87%, an increase of 23.12%. The conclusion of this research is the use of amoodle-based blended learning method suitable for use in basic graphic designsubjects, as well as effective to help improve students' understanding of materialand learning outcomes.
An Comparative Analysis of Regulations for Certification, Notification and Reporting on Chemicals - Focused on the Contents of Submitted Documents -

본 연구는 화학물질 확인제도를 중심으로 화학물질 관리에 관한 확인ㆍ신고ㆍ보고 등의 국내 제도 들을 비교하고 EU의 유사 제도의 최신 동향 등을 분석하여 선진화된 화학물질 관리를 위한 국내 제도 운영의 방향성을 도출하였다. 국내에서는 여러 법령 내 각 제도들을 통해 화학물질 및 제품에 관한 정보를 제출받고 있지만, 방대한 양의 정보 활용 및 검증 수단 존재 여부 등에 대한 의문을 제시할 수 있다. 이를 해결하기 위해 새로운 제도를 도입하기에 앞서 현재 운영 중인 제도들의 검증 및 충분한 활용을 위한 검토가 선행될 필요가 있다. EU의 최근 CLP 개정안은 혼합물에 고유식별번호를 부여하여 물질과 물질에 대한 유해ㆍ위험성 등이 담겨있는 정보들을 연결하는 매개로 활용하는 내용을 포함하고 있다. 국내에서도 이와 같이 고유번호를 활용하여 해당 물질과 그에 상응하는 정보를 연결지어, 필요 시 관련 정보를 빠르게 찾을 수 있는 방안을 고려할 필요가 있다. 뿐만 아니라, 위해사고 발생시 이를 추적할 수 있는 시스템을 구축하는 필요성을 검토하는 것이 필요하다고 판단된다.The purpose of this research is to suggest guidelines for improved chemical management by comparing various regulations on the submission of detailed information on chemical products in Korea, such as certification, notification and reporting on chemical management, along with the recent trends in EU. Various laws and regulations in Korea require the submission of information on chemical materials and products, but there is doubt that such vast information have been adequately utilized or verified. According to the recent revision of CLP regulation in EU, importers and downstream users should assign a unique identifier to mixtures in order to be used as a medium to link chemicals with its information regarding harmful and dangerous substances. In Korea, it is necessary to consider a method that enables linking the substance with its corresponding information quickly by using a unique identifier such as UFI. In addition, there is a need of establishing a system that makes it easy to find and track information in the event of an accident.
Competency of teachers and application of ict in the instructional processes: A case of community schools of Nepal

This paper explores the competency of teachers from community schools of Nepal for the adaptation of Information and Community Technology in the instructional processes. The use technological tools i.e. computer, mobile, projector, printer, learning apps, e-library etc. in the instructional process has critically been analyzed in this study. I used case study method and interpretative inquiry for this study.  The study explored that there is the ICT-friendly policies and programs in Nepal but teachers’ competency seems to be improved to extend opportunity for students to access ICT-instructed teaching and learning.
VR Application Framework for Collecting Sensor Data in Risky Situations

Some recent smartphone apps detect and predict dangerous situations and warn users. Since these apps detect users' situations by leveraging machine learning methods based on smartphone sensor data, a large amount of training data is required to construct detection models. However, it is difficult to collect such data, especially in dangerous situations. This research proposes a Virtual Reality (VR) application framework for collecting sensor data in virtual dangerous situations in VR space.
Clinical Judgement Study using Question Answering from Electronic Health Records

Clinical judgement studies are essential for recognising the causal relation of a medication with adverse drug reactions (ADRs). Traditionally, these studies are conducted via expert manual chart review. By contrast, we propose an end-to-end deep learning question answering model to automatically infer such causal relations. Our proposed model identifies the causal relation by answering a subset of Naranjo questionnaire Naranjo et al. (1981) from electronic health records. It employs multi-level attention layers along with local and global context while answering these questions. Our proposed model achieves a macroweighted F-score of 0.4598 - 0.5142 across the selected questions and an overall F-score of 0.5011. We also did an ablation study to validate the importance of local and global context for the model.
Strategies for overcoming the challenges of electronic resources collection development in university libraries in southeast Nigeria

This paper examined the challenges and strategies for overcoming the challenges of electronic resources collection development in university libraries in Southeast Nigeria. This study employed a descriptive survey design with population of 86 librarians in collection development, serials and digital library. The survey used questionnaire and interview as instruments for data collection. Data collected were tabulated and analyzed using simple statistics of percentages and mean. The findings showed that the university libraries employ various strategies in overcoming the challenges of electronic resources collection development, and the overall mean showed that an increase in the library budgets (mean = 3.36) is ranked highest and are applied mostly by the libraries, while the selectors should devise a means of applying statistics to a cancellation decision (mean =2 .92) is ranked lowest as strategies employed by university libraries in enhancing electronic resources collection development. The study revealed twelve strategies with an increase in the library budgets as a major strategy in enhancing electronic resources collection development. The study recommended that the university libraries in Southeast Nigeria should provide adequate funds to the libraries; make alternative provision of electricity/power in the provision of energy needed for building electronic resources; should train and retrain their staff on the technical skills; training on the areas of software and hardware troubleshooting in developing electronic resources collection. That the university libraries should train the librarians on business and negotiation skills that will enable them understand the integrity of the licensing and negotiation involved in the subscription of electronic resources.Keywords: Electronic resources, collection development, University Libraries, Strategies of electronic resources
The Effectiveness of Dictogloss Technique in Teaching Writing of Narrative Text (An Experimental Research at the First Grade in SMA Bayt Al-Quran Cikande Modern, Serang, Banten)

Nanang Suefi. 152301923. 2019. The Effectiveness of Dictogloss Technique in Teaching Writing of Narrative Text (An Experimental Research at the First Grade in SMA Bayt Al-Quran Cikande Modern, Serang, Banten).This study was conducted to find out the empirical evidence about the effectiveness of dictogloss technique in teaching writing of narrative text at the first grade students of SMA Bayt Al-Quran. The aims of this study were 1) to know the students’ writing ability by using dictogloss technique at first grade SMA Bayt Al-Quran Cikande Modern, 2) to identify the empirical evidence about the effectiveness of dictogloss technique in teaching writing of narrative text at first grade SMA Bayt Al-Quran Cikande Modern. The method of this study was quantitative method. This study used quasi experimental design with pre-test and post-test design approach. The populations of this study were 50 first grade students of SMA Bayt Al-Quran in 2018/2019 academic year. The writer took two classes as the samples of this study. The samples of this study were X IPA A as experimental class which was taught by dictogloss technique and X IPA B as controlled class which was taught without dictogloss technique. Both classes consisted of 25 students. The writer gave pre-tests to both classes before giving treatment and gave post-tests after giving treatment. The instrument used in this study was writing test in which the students were asked to write a narrative text for pre-test and post-test. To score the students’ writing, the writer adapted analytic scoring rubric developed by Sara Cushing. The data obtained from pre-test and post-test were analyzed by using t-test formula to see the effectiveness of dictogloss technique towards students’ narrative writing. Based on the result, the researcher got the average score of pre-test was 56.36 and average score of posttest was 67.32 from experimental class while from control class, the average of pre-test was 43.68 and post-test was 47.88. The result shows that the value of to 5.855 is higher than the value of ttable 2.010, the result was accepted. This research shows that the students’ writing abilities use dictogloss technique achieved better performance than those who do not use dictogloss technique.Keywords: Dictogloss Technique, Writing, Narrative Text
Partial Convolution Based Multimodal Autoencoder for Art Investigation.

Autoencoders have been widely used in applications with limited annotations to extract features in an unsupervised manner, pre-processing the data to be used in machine learning models. This is especially helpful in image processing for art investigation where annotated data is scarce and difficult to collect. We introduce a structural similarity index based loss function to train the autoencoder for image data. By extending the recently developed partial convolution to partial deconvolution, we construct a fully partial convolutional autoencoder (FP-CAE) and adapt it to multimodal data, typically utilized in art investigation. Experimental results on images of the Ghent Altarpieceshow that our method significantly suppresses edge artifacts and improves the overall reconstruction performance. The proposed FP-CAE can be used for data preprocessing in craquelure detection and other art investigation tasks in future studies.
A comparative research study on radical and extremist (hate) speakers in European Member States

In the context of the proliferation of extremist hate speech in Europe in recent years, legislative provisions have been enacted that inevitably resulted in potentially substantial limitations on the right to freedom of speech. A number of individuals have been subjected to onerous administrative measures in relation to their speech – sometimes after a criminal conviction, sometimes in the absence of criminal law action. Thus, the question of proportionality has inevitably arisen – to what extent can a state legitimately and justifiably restrict the right to freedom of expression in the interests of national security? To put it differently, in respecting its broader social obligation to ensure and preserve security, how much should a state qualify the right to freedom of expression? In addressing these questions, this comparative report will first outline in more detail the applicable international and regional legal obligations and relevant case law in Sections 1 and 2 respectively. Section 3 will focus on the following countries – Belgium, Denmark, Germany, France and the United Kingdom – with particular emphasis on domestic legislative provisions, jurisprudence and national strategies specifically adopted to respond to the risks posed by extreme speakers. It should be noted at the outset that the United Kingdom has legislated against extreme and radical speech within its counter-terrorism legislation. The report will conclude a list of conclusions and closing remarks based on the impact of these domestic practices and legal responses on the right to freedom of expression.
Research on Key Technologies of 3D Dynamic Scene Reconstruction in Virtual Reality

Abstract Word In the process of reconstructing dynamic scenes, the traditional 3D reconstruction will generate certain data interference and data transition problems due to the certain continuity of the collected data. A three-dimensional dynamic scene reconstruction scheme based on virtual reality is proposed. Virtual reality technology is an emerging technology. The key is to model the actual object to obtain a virtual image and present it to people. Three-dimensional reconstruction is one of the core technologies, including monocular vision technology, pattern recognition technology, support vector machine computing technology and sensor technology.
An investigation of SI (S=5/2, I=5/2) spin system as two qudit quantum states

A d (d≥3) dimensional unit of information in quantum information is called a qudit. For d=6, there exist six magnetic quantum numbers of spin-5/2. For SI (S=5/2, I=5/2) spin system, 36 two qudit states are determined. First, two qudit CNOT quantum logic gates are obtained for this spin system. Then 36 two qudit entangled states are constructed by using Hadamard (for d=6) and CNOT quantum logic gates. In this study, Mn@C60 molecule is considered as SI (S=5/2, I=5/2) spin system. Possible applications of this spin system in quantum information are also discussed.
Three-Dimensional Measurement of Smoke Density Distribution by Switching Volumetric Color Illumination Patterns

Abstract In this paper, we introduce an imaging technique for capturing 3-imensional smoke density distribution by adopting a three-layer color illumination and a six-layer color illumination for air flow measurements. A camera capable to capture three primary color components (red, green, blue) and a liquid crystal display projector are used as optical equipment. Each color layer is aligned parallel to a photographed plane of the video camera. The present technique assumes two things; three primary color signals are received proportionally to smoke density in each color layer and there is a linear relation between the smoke density and the color signals. These assumptions allow that the smoke density can be obtained from the color signals by solving inverse problem. In the three-layer case, solving inverse problem is possible by these assumptions. In the six-layer color illumination, a color layer illumination consisting of three primary colors and their intermediate colors (yellow, cyan, magenta) are projected toward measurement space. This forms an inverse problem with lack of information to reconstruct the smoke density because the number of independent color signals is lower than the number of color layers. To fix this issue, we apply a method to increase the number of color signals in time direction by switching two different illumination patters. The number of color signals becomes six to be equal to the number of variables to solve algebraically.