Reviewerly/exHarmony huggingface dataset:
Motivation for WhatsApp use among Students at the University of Jeddah

As the twenty-first century has progressed, the processes of learning and imparting knowledge have increasingly followed a modern, digitized approach that makes use of modern communications. The recent and ongoing development of online communication platforms now allows millions of users to communicate with each other quickly and easily. WhatsApp, which is very popular with Saudi Arabian college students, is a social networking site that is primarily used on smartphones as an application for instant messaging. The research presented here explores the motivations that drive Saudi Arabian college students to use WhatsApp. Moreover, this research sheds light on the advantages and disadvantages of WhatsApp and elucidates the students’ perceptions of how WhatsApp use impacts the quality of their university education. This study is of an exploratory, qualitative design and the study sample comprised 23 undergraduate students from the University of Jeddah. An online questionnaire, containing open-ended questions, was used to identify the key factors that motivate students to use WhatsApp. The findings reveal that the simplicity and popularity of WhatsApp are the most significant factors in students’ decision to use it. The key advantages of using WhatsApp were found to be its fast speed and ease/efficiency of reaching recipients. Students indicated that they mainly used the app to establish or maintain contact with classmates and professors, and that they believed the use of WhatsApp had a positive effect on the quality of their education. However, while the app is clearly popular, some students reported the self-destructive nature of some WhatsApp messages as an important disadvantage.
Implementasi Metode Fuzzy Sugeno Pada Penentuan Harga Emas 24 Karat pada Kota Medan

Gold is one of the most precious precious metals by the public because gold prices tend to be stable and increase every month, gold investment has also developed quite rapidly. Gold can be invested in various forms such as gold bars and gold in the form of jewelry that has value to add to the wearer's appearance besides that there is also gold in the form of ancient currency coins that have historical value and are usually kept by collectors, gold is one form of investment that is not influenced by trends in society because gold is bought by everyone at any time. The purpose of this study was to determine the determination of the price of 24 carat gold in medan city. In this study, the authors used 3 criteria including demand, quality and price.
Application of n-tuple algebra for modeling and analysis of uncertainties in knowledge.

To model and analyze uncertainties in artificial intelligence, non-classical, in particular, non-monotonic and modal logics are often used, since classical logic is believed to poorly fit for such an analysis. This paper proposes some opportunities to apply a unified approach to analysis of various types of uncertainty based on n-tuple algebra earlier developed by the authors.
An evaluation of a section of the campano-maastrichtian nkporo shale, anambra basin, south-eastern nigeria: Implications for provenance and palaeoenvironment of deposition

Geochemical evaluation of Anambra Basin was carried out using forty Campano-Maastrichtian shale samples from two wells, drilled within the depocenter of the Basin. This was with a view to determining their origin and distribution of the sediments as well as their palaeodepositional environment. The selected samples which represent the first trangressive phase were analyzed using Inductively Coupled Plasma-Atomic Emission Spectrometer (ICPAES) to determine the elemental concentration.
Object polygonization in traffic scenes using small Eigenvalue analysis

Shape polygonization is an effective and convenient method to compress the storage requirements of a shape curve. Polygonal approximation offers an invariant representation of local properties even after digitization of a shape curve. In this paper, we propose to use universal threshold for polygonal approximation of any two-dimensional object boundary by exploiting the strength of small eigenvalues. We also propose to adapt the Jaccard Index as a metric to measure the effectiveness of shape polygonization. In the context of this paper, we have conducted extensive experiments on the semantically segmented images from Cityscapes dataset to polygonize the objects in the traffic scenes. Further, to corroborate the efficacy of the proposed method, experiments on the MPEG-7 shape database are conducted. Results obtained by the proposed technique are encouraging and can enable greater compression of annotation documents. This is particularly critical in the domain of instrumented vehicles where large volumes of high quality video must be exhaustively annotated without loss of accuracy and least man-hours.
Implementing Cartoon Media to Maximise Students’ Reading Comprehension

The objectives of this research are to find out whether there is a significant difference in the reading comprehension between students who are taught by using cartoon media and the students who are taught by using conventional media, to find out the effectiveness between cartoon media and conventional media in teaching reading comprehension. This experimental research was carried out in SMP Muhammadiyah 1 Sleman in the academic year of 2018/2019. The findings of the study show that the mean scores of students who were taught by using cartoon media are higher than the scores of those who were taught by using conventional media, 68.16 &gt; 60.91. The result of ANCOVA shows the level of significance is lower than 0.05. i.e. 0.0000 &lt; 0.05. thus H1is accepted and Ho is rejected. It shows clearly that the use of cartoon media to teach reading comprehension is more effective than conventional media.
QUANTUM LEARNING SEBAGAI UPAYA GURU PENDIDIKAN ANAK USIA DINI MENJADI PENDIDIK YANG MENYENANGKAN

Teaching and learning activities will make a difference for those who study and teach. This suggests that educators also play a role in learning success. Educators in the learning process must have a strategy to be able to deliver teaching materials to learners. Quantum is the interaction that convert energy into light, because all the energy is in the learning process of life and contains a diversity and inter determinisme. The concept of quantum learning in learning can be applied with the power of ambak or motivation, the arrangement of the learning environment, the fertilization of the attitude to become champion, the liberation of learning style, the habit of recording, the reading habit, the creativity of the students and the training of memory strength.
Usability Analysis of Website-based Applications by Adopting User Satisfaction Models

Technological developments in supporting and assisting all human work activities are felt to be equally beneficial. Shirouoshien is a business that is engaged in commerce and offering products that it sells to its customers. Shirouoshien uses a website-based application to promote products more efficiently. Evaluation of the shirouoshien application aims to find out how the usability of the website is for users. In general, the criteria that determine that a website is usable (has a high level of usability) is if users can find and get what they need and understand from the Shirouoshien website. The main problems to be examined in this study then the problem will be broken down into several. The main issues need to be considered in the usability analysis of website-based applications, variables that influence user acceptance of the application in the usability framework, and factors that describe the acceptance and use of website-based applications. In general, through analysis of the usability aspect in the next development plan framework, this application still needs further improvement and development to meet customer needs regarding products and product promotion. The results and general discussion through usability aspect analysis in the next development plan framework still need further improvement and development to meet customer needs related to products and product promotion.
Framework for Cloud based Open Source VLSI Design

VLSI design is an important process towards continued development in hardware technology. Adoption of open source technology for VLSI design is generating huge interest among research communities. Open source platforms provide inherent advantages of lower cost, scaled up development and enhanced collaborative integrated management. The paper proposes a novel cloud-based platform for VLSI design that is enabled through Application Programming Interfaces. The open source framework is called CloudFlow. The proposed framework enhances ease of access to VLSI design tools by eliminating need for system reservation and elaborate configuration. CloudFlow has been deployed on Amazon Web Services, tested with a sample design for Random Access Memory module and evaluated. Proposed methodology achieves reduction in latency and provides enhanced ease of access. Inferences drawn for proposed deployment indicate that cloud-based open source approaches to VLSI design ushers in huge benefits and holds potential for further exploitation.
FAULT TOLERATING MECHANISM IN DISTRIBUTED COMPUTING ENVIRONMENT

Large scale distributed systems encompass heterogeneous computational machines, workloads and sub-systems dispersed diversely across the cloud environment.These sub-systems frequently encounter faults and failures due to different data structures, hardware/software malfunction, and communication delay.To speed up computation in such a situation a fault tolerating infrastructure is implemented by adopting a machine learning approach.Under machine learning, an artificial neural network (ANN) captures, manipulates, and updates the states and behaviors of the sub-systems in the servers and worker's machines.Multiple layers of neurons (i.e., deep learning) can handle large scale distributed systems with large datasets.Adopting the variants of a stochastic gradient descend algorithm on subsystems (also known as computational nodes) the efficiency, and reliability of a distributed system are enhanced significantly.In high-performance computing (HPC) applications fault tolerance mechanisms must be embedded to recover from system failures.
Accounting Practices and Success of Business: A Survey of Traders of Muhanga Commercial Centre in Rwanda

Some businesses start well and whereas some succeed others fail. The question is why some businesses survive while others collapse. This study, therefore, seeks to inform traders and other profit oriented activities owners of Muhanga Commercial Centre about the role of accounting system in preparing and keeping the books of accounts and the relationship between accounting system and business success or performance. The specific objectives of the study are to find out whether traders of Muhanga commercial centre keep accounting records, to establish the factors affecting growth of business, to find out the performance level of the traders in Muhanga Commercial Centre and establish the relationship between accounting practices and success of the traders. This research is of significance to business managers and scholars. Considering the methodology used in this study, a descriptive survey research design was employed in this study in order to capture the general overview giving some valuable pointers as to what variables are worth testing quantitatively and can yield rich data that lead to important recommendations in practice. The target population for this study is 292 traders of Muhanga Commercial Center and the sample size of 74 respondents. Stratified sampling was used to select the sample respondents. Sample size was determined using Slovin’s formula with 10% error margin. The qualitative and quantitative data was used. For primary data, questionnaires were sent to the respondents and interview was used. The secondary data was collected from journal articles, books and internet resources. Statistical Package for Social Sciences (SPSS) version 21.0 was used to analyse the relationship between accounting record keeping and the business success. Reliability of the instruments was established after a pre-test in order to establish the fitness of the instruments in the study. Moreover, experts in the field were consulted about the content of instruments, ambiguity of question items and their relevance. The results of the study revealed that there is a positive correlation between recording and business expansion with p- value of 0.912 and sig=.000; between financial statements and increase in asset with p-value of 0.780 and sig=.000; between reconciliation and increase in profit with a p-value of 0.884 and sig=.000; between reconciliation and financial statements with p- value of 0.674 and sig=.000; between increase in profit and recording with a p-value of 0.822 and sig=.000; between recording and financial statements with p-value of 0.615 and sig=.000; between reconciliation and recording with a p-value of 0.914 and sig=.000; between reconciliation and business expansion with a p-value 0.938 and sig=.000; increase in asset and business expansion with a p-value of .849 and sig=.000, increase in profit and business expansion with a p-value of 0.917 and sig=.000 and between financial statement and increase in profit with a p – value of 0.802 and sig=.000 because the calculated P-value is less than 0.01 level of significance.
Automated Search for Resource-Efficient Branched Multi-Task Networks.

The multi-modal nature of many vision problems calls for neural network architectures that can perform multiple tasks concurrently. Typically, such architectures have been handcrafted in the literature. However, given the size and complexity of the problem, this manual architecture exploration likely exceeds human design abilities. In this paper, we propose a principled approach, rooted in differentiable neural architecture search, to automatically define branching (tree-like) structures in the encoding stage of a multi-task neural network. To allow flexibility within resource-constrained environments, we introduce a proxyless, resource-aware loss that dynamically controls the model size. Evaluations across a variety of dense prediction tasks show that our approach consistently finds high-performing branching structures within limited resource budgets.
Study of Convolutional Neural Networks applied to Image Stereo Matching

Stereo images are images formed from two or more sources that capture the same scene so that it is possible to infer the depth of the scene under analysis. The use of convolutional neural networks to compute these images has been shown to be a viable alternative due to its speed in finding the correspondence between the images. This raises questions related to the influence of structural parameters, such as size of kernel, stride and pooling policy on the performance of the neural network. To this end, this work sought to reproduce an article that deals with the topic and to explore the influence of the parameters mentioned above in function of the results of error rate and losses of the neural model. The results obtained reveal improvements. The influence of the parameters on the training time of the models was also notable, even using the GPU, the temporal difference in the training period between the maximum and minimum limits reached a ratio of six times.
TIPOLOGI KERUSAKAN BANGUNAN AKIBAT CUACA EKSTREM STUDI KASUS CUACA EKSTREM KABUPATEN BANTUL 2019

The threat of disaster is unavoidable in Indonesia. In 2018, for example, 2,564 disasters occurred in which no city / district in Indonesia was free from threats. Statistical data shows that more than 90% of disasters in Indonesia are included in the hydrometereological disaster category, which has continued to increase over the past 15 years. Even in the early half of 2020, there were 256 disasters with 99% of them being hydrometereological disasters such as floods, landslides and tornadoes. The existence of extreme weather events in Bantul Regency in 2019 shows that the dangers of hydrometereology can cause considerable harm to the community. There needs to be a study to find out how to mitigate hydrometereological disasters which are the most common hazards in Indonesia. Analysis of building damage and disaster data needs to be carried out to determine the characteristics of the impact of extreme weather on buildings, to identify building elements that are vulnerable to damage, to provide anticipatory measures and alertness to extreme weather in Indonesia. Building damage data is grouped and processed in graphical form to read information patterns as material for analysis. The results of the study show that there are things that must be done in the face of extreme weather including: choosing the quality of materials and the strength of the construction of the building, attention to building elements, especially the back of the building (kitchen &amp; bathroom), walls, and foundations, high vigilance in the area steep contours and highlands, need to be vigilant with all elements of society in areas of high potential for extreme weather, and the need to pay attention to vulnerable groups of the elderly and children.
Pengembangan Media Ular Tangga Pintar Pada Pembelajaran IPA Kelas IV SDN 07 Koto Panai Air Haji

This study aims to produce valid and practical learning media for smart and ladder snakes in class IV science subjects. This type of research uses research and development. Learning media was developed using the ADDI model. This research was conducted in the odd semester of the 2020/2021 school year. Collecting data regarding the validity of smart learning media for science subjects in grade IV SD was developed and used a questionnaire validated by experts. For practicality, smart learning media, the circle of stairs is carried out in schools by teachers and students. The results of the validation of the smart learning media in the fourth grade science subject of SD are in the very valid category of 94.1% and the validation of the material on the smart ladder snake learning media is in the very valid category with 91%. The smart ladder game media that has been developed are categorized as very practical by educators by 96% and categorized as very practical by students by 97%. The learning media for snakes and ladders in science subjects for grade IV SD that are produced are very valid and very practical to be used in science subjects in grade IV SD. Researcher's suggestion is that the learning media for snakes and ladders in science subjects in grade IV SD that have been developed can be used as media in the learning process in the classroom.&#x0D; Keywords:&#x0D; Development, Science Learning Media, Smart Ladder Snake
Pengenalan Rumah Adat Sumatera Utara Menggunakan Augmented Rality Berbasis Android

This study aims to increase knowledge through multimedia-based learning by utilizing information technology, namely Augmented Reality (AR) in knowing the types of traditional houses in North Sumatra province.Augmented reality (AR), is the appearance of real-world dimensions with virtual worlds in real time. In contrast to virtual reality which completely replaces what is in the real world, augmented reality is a process of adding or completing virtual reality. Augmented reality depicts a three-dimensional object on a marker as a unique pattern so that it can be recognized by the object processing application. Augmented reality can be used to create a more interactive recognition environment where users can interact directly with objects in cyberspace. The augmented reality application produced in this study was developed using the Vuforia Software Development Kit. In addition, the resulting application runs on the android mobile platform, which is expected to provide easy access for users
Full Direction Local Neighbors Pattern (FDLNP)

In this paper, we proposed the Full Direction Local Neighbor Pattern (FDLNP) algorithm, which is a novel method for Content-Based Image Retrieval.FDLNP consists of many steps, starting from generating Max and Min Quantizers followed by building two matrix types (the Eight Neighbors Euclidean Decimal Coding matrix, and Full Direction Matrixes).After that, we extracted Gray-Level Co-occurrence Matrix (GLCM) from those matrixes to derive the important features from each GLCM matrixes and finishing with merging the output of previous steps with Local Neighbor Patterns (LNP) histogram.For decreasing the feature vector length, we proposed five extension methods from FDLNP by choosing the specific direction matrixes.Our results demonstrate the effectiveness of our proposed algorithm on color and texture databases, comparing with recent works, with regard to the Precision, Recall, mean Average Precision (mAP), and Average Retrieval Rate (ARR).For enhancing the image retrieval accuracy, we proposed a novel framework that combined the image retrieval system with clustering and classification algorithms.Moreover, we proposed a distributed model that used our FDLNP method with Hadoop to get the ability to process a huge number of images in a reasonable time.
MENINGKATKAN AKTIFITAS DAN HASIL BELAJAR SISWA MELALUI PENERAPAN MODEL STUDENT FACILITATOR AND EXPLAINING

Abstract This research is a Classroom Action Research. Implemented collaboratively, between researchers, observers, and research subjects. The main objective of this research is to increase the activities and social studies learning outcomes in VII class through the application of the Student Facilitator and Explaining Model. The subjects of this research were class VII G SMP Negeri 1 Kramatmulya Kuningan for the 2019/2020 academic year which consisted of 30 students with a composition of 15 female students and 15 male students. The implementation of this research was carried out in the first (odd) semester of the 2019/2020 school year. This classroom action research process was carried out for two cycles, and two main actions, namely planning, implementing the action, observing, and reflecting. Before taking action, the researcher carries out a learning activity called the pre-cycle, then after that, he takes action in the form of the first and second cycles. At the end of each cycle, students' activities were observed in following the learning process and a test was carried out using a question instrument. Then the results obtained at the first meeting and the second meeting are averaged to become the final result of each cycle. The results of the pre-cycle observation showed that only 13% of students were active. The average test result in the pre-cycle was 64.30 and only 17% reached the completeness where the KKM determined was 75.00. The results of the first cycle showed that active students increased to 40%, the average value of learning outcomes in the first cycle also increased to 70.50, and student completeness reached 50%. The results of the second cycle showed that active students increased to 83.30% as well as an increase in the average score to 77.50 where the percentage of completeness in learning also increased to 86.70%. Given that the results of the second cycle have passed the predetermined success indicators, the next cycle of action is not required. Keywords: Activity, Achievement, Learning, Student Facilitator and Explaining