Reviewerly/exHarmony huggingface dataset:
EVALUATION AND REDESIGN USER INTERFACE METOOCEL APPLICATION USING HUMAN CENTERED DESIGN METHOD

Metoocel application is the name of the application from a shop that sells smartphone and laptop accessories in the Surabaya area. Metoocel application was created to make it easier for users to view product catalogs and make product purchases online through the application without the need to come to the location. However, Metoocel application has never been evaluated regarding usability since the application was created. Therefore, it is necessary to evaluate to determine the usability value of the Metoocel application. Through the initial evaluation of the study using the System Usability Scale questionnaire, the Metoocel application obtained a score of 54 so that it was included in the "F" grade scale category and the "Low Marginal" acceptability ranges category. This shows that Metoocel application still has shortcomings related to application usability. To overcome these problems, a redesign of the user interface was carried out using the Human Centered Design method which focused on user needs in Metoocel application. The result of the redesign is a prototype of Metoocel application. Then, the prototype that has been designed is evaluated using SUS to compare the usability value of the application before and after redesigning the user interface. The test results show that the prototype gets a score of 80 including the grade scale category "B" and the Acceptability Ranges category "Acceptable" which means the function of the application prototype has worked well and can increase the usability value of the application.
BANDUNG CITY TRAFFIC CLASSIFICATION MAP WITH MACHINE LEARNING AND ORDINARY KRIGING

Congestion is a problem that occurs when the number of vehicles exceeds the capacity of the road and the vehicle speed slows down. This issue is one of the main issues in big cities, including Bandung. In this study, this study aims to reduce traffic congestion in the city of Bandung. The classification process in this study uses the Support Vector Machine (SVM), Naive Bayes, and Ordinary Kriging methods. The data used is traffic counting data from ATCS in Bandung and direct observation. The traffic count data obtained contains 3804 rows. Three experimental scenarios were carried out to validate the effectiveness of the model used, the performance of the first model without oversampling, the performance of the second model with oversampling, and the performance of the third model with hyperparameter adjustment. The experimental results show that the Support Vector Machine method has higher accuracy than the Naive Bayes method, which is 93%, while the Naive Bayes method has an accuracy of 90%. The application of hyperparameter tuning and over-sampling is proven to overcome the problem of data imbalance and get better classification results. In addition, the best classification results are used in making classification maps, namely the Support Vector Machine method, and assisted with ordinary kriging to predict the surrounding area. The results of the congestion classification map show that the southern area of the city of Bandung is more unstable than other areas of the city of Bandung.
Clothing Items Classification Based on X-Ray Multi-Shot Imaging for E-Commerce

The mail order business with e-commerce products such as clothing is growing steadily. This trend is associated with an increased effort in package processing of incoming and outgoing goods. These processes can be automated with X-ray technology. Therefore, we describe a method for classifying the contents of e-commerce packages using multiple X-ray projections. A selection of clothing items is classified using a Convolutional and Recurrent Neural Network model (CNN-RNN) trained on an input of multiple X-ray projections. The described workflow allows a fast generation of synthetic training data and is evaluated on real (non-synthetic) data.
PERFORMING A PSYCHOLOGICAL AND PEDAGOGICAL ANALYSIS OF THE PROBLEM OF INCREASING STUDENTS' CREATIVITY WITH THE HELP OF OUTSIDE THE CLASS WORK

Сыныптан тыс жұмыстар балалардың сабақта алған білімдерін тереңдетеді және кеңейтеді сондықтан олардың пәнге деген қызығушылығы арттырылады. Үйірмеде, жиналыста немесе кешкі сабақта осы немесе басқа құбылысты білетін бала оның табиғатын тереңірек түсінуге тырысады және көбірек әдебиет оқуға тырысады. Біз сыныптан тыс жұмыстар мұғалімге өз оқушыларының жеке қабілеттерін тереңірек танып білуге, олардың арасынан физикаға қызығушылық танытатын дарынды оқушыларды анықтауға және осы қызығушылықты дамытуға жан-жақты бағыт беруге көмектеседі деп есептейміз.Сыныптан тыс жұмыстар міндетті бағдарламамен байланысты емес, олар оқушылардың қажеттіліктерін ескере отырып ұйымдастырылады және өткізіледі. Сыныптан тыс жұмыстарды ұйымдастырған кезде мұғалім мен оқушылардың уақытын ұтымды пайдалану қажет, сондықтан барлық сыныптан тыс жұмыстарды оқу жылы басталғанға дейін жоспарлау өте маңызды. Мұндай жоспар оқушылардың қалауы мен бейімділігіне сәйкес және жалпы мектептік жылдық жоспарды ескере отырып жасалуы керек. Біз физикадан сыныптан тыс жұмыстың тәрбиелік міндеттерін талдау кезінде мектеп оқушыларымен жүргізілетін сабақ пен сыныптан тыс жұмыс мақсаттарының бірлігі қағидасын басшылыққа алу қажет деп есептейміз. Жалпы білім беретін орта мектепте физиканы оқыту процесінде оқушылар қоғамдық және ғылыми-техникалық прогрестің қазіргі талаптарына сәйкес физика ғылымының негіздерін терең де берік меңгеруі тиіс. Оқушыларды өз білімін үздіксіз жетілдіруге, өз бетінше толықтыруға және тәжірибеде қолдана білуге ұмтылуға тәрбиелеу керек.Бұл тапсырмаларды тек физика сабағында толық шешу мүмкін емес. Олардың көпшілігі сабақ шеңберіне сәйкес келмейтін жұмыс формалары мен әдістерін қолдануды талап етеді.
The Significance of the Landmark Computations of the Generalized Bessel Function Distribution of the First Kind

things created, that are in heaven, and that are in earth, visible and invisible, whether they be thrones, or dominions, or principalities, or powers: all things were created by him, and for him
APPLICATION OF COLLABARATIVE LEARNING TECHNOLOGY IN THE DEVELOPMENT OF CREATIVE ABILITIES OF PUPILS IN BIOLOGY LESSONS

This article describes the concept, specifics, benefits of collaborative learning technology, the technological process of group work and pupils’ thinking. The purpose of the article is to study the use of collaborative learning technology for the development of pupils' creativity in biology lessons. The main methods of the study are the analysis of the works of domestic and foreign scientists, scientific literature for group work aimed at developing the creative abilities of pupils. In the course of writing the article are studied and explained the processes of collaborative learning technology, the specifics of the organization of group work, the basic ideas of joint training, the thinking abilities of people, the process of creative thinking, the types of group work used in biology classes.In addition to solving cognitive and creative goals, collaborative learning provides for solving psychological and social problems, a culture of communication is formed during the task. The main idea of collaborative learning technology is to create conditions for active learning activities of pupils in different learning situations.
The Effect of Mobile-Assisted Language Learning Using Tiny Cards App on Iranian Intermediate EFL Learners’ Vocabulary Learning and Retention

Emerging technologies have brought about major changes in the teaching and learning processes, and there is no doubt that the rapid growth of technology has significantly changed the way English teachers transfer knowledge to their students. Accordingly, this study investigated the effect of MALL using Tiny Cards app on Iranian intermediate EFL learners’ vocabulary learning and retention. It was a quantitative research employing a quasi-experimental design. Forty intermediate EFL learners, taking English course at Farzan English Language Institute, Rasht, Iran, were selected as homogeneous participants based on Quick Placement Test. Next, they were non-randomly divided into one experimental group (N = 20) and one control group (N = 20). Before the onset of treatment, a pretest of vocabulary was administered to certify the learners’ initial knowledge of vocabulary items. The groups then received the treatment on their vocabulary for eight sessions. The experimental group received instruction of vocabulary through Tiny Cards app. The control group, however, received the same items but approached them through traditional method of instruction without MALL. Overall, the results of independent-samples t-tests for the posttest and delayed posttest of vocabulary revealed that there was a statistically significant difference between the two groups in their performance on the posttest and delayed posttest of vocabulary learning and retention. Finally, it was concluded that the findings can be utilized by the teachers, materials developers, and education authorities to provide Iranian EFL learners with MALL vocabulary instruction.
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Ultra-High-Definition (UHD) photo has gradually become the standard configuration in advanced imaging devices. The new standard unveils many issues in existing approaches for low-light image enhancement (LLIE), especially in dealing with the intricate issue of joint luminance enhancement and noise removal while remaining efficient. Unlike existing methods that address the problem in the spatial domain, we propose a new solution, UHDFour, that embeds Fourier transform into a cascaded network. Our approach is motivated by a few unique characteristics in the Fourier domain: 1) most luminance information concentrates on amplitudes while noise is closely related to phases, and 2) a high-resolution image and its low-resolution version share similar amplitude patterns.Through embedding Fourier into our network, the amplitude and phase of a low-light image are separately processed to avoid amplifying noise when enhancing luminance. Besides, UHDFour is scalable to UHD images by implementing amplitude and phase enhancement under the low-resolution regime and then adjusting the high-resolution scale with few computations. We also contribute the first real UHD LLIE dataset, \textbf{UHD-LL}, that contains 2,150 low-noise/normal-clear 4K image pairs with diverse darkness and noise levels captured in different scenarios. With this dataset, we systematically analyze the performance of existing LLIE methods for processing UHD images and demonstrate the advantage of our solution. We believe our new framework, coupled with the dataset, would push the frontier of LLIE towards UHD. The code and dataset are available at https://li-chongyi.github.io/UHDFour.
Issues and Implications of Library Networking

Library Network alludes to an interconnected foundation of some gathering of libraries with specific arrangements intends to fulfill and satisfy their clients’ needs. Every library performs the sharing of assets to every other on request premise. A library network is a group or co-employable movement of connecting. Individuals/clients to the assets facilitated on PCs by methods for media transmission associations. An organization comprises of at least two PCs that are connected to share assets, (for example, printers and CDs), trade records, or permit electronic interchanges. Two regular kinds of organizations include: Local Area Network (LAN), and Wide Area Network (WAN). Switches and remote passages are the fundamental systems administration nuts and bolts. Through them, gadgets associated with your organization can speak with each other and with different organizations, similar to the Internet. Switches and remote passages perform altogether different capacities in an organization.
An interpretable ensemble method for deep representation learning

Model ensemble is widely used in deep learning since it can balance the variance and bias of complex models. The mainstream model ensemble methods can be divided into “implicit” and “explicit”. The “implicit” method obtains diﬀerent models by randomly inactivating the internal parameters in the complex structure of the deep learning model, and these models are integrated by sharing parameters. However, these methods lack ﬂexibility because they can only ensemble homogeneous models with the similar structure. While the “explicit” ensemble method can fuse completely diﬀerent heterogeneous model structures, which signiﬁcantly enhances the ﬂexibility of model selection and makes it possible to integrate more models with entirely diﬀerent perspectives. However, the explicit ensemble will face the challenge of averaging the outputs, leading to a chaotic result. To this end, researchers further proposed using knowledge distillation and adversarial learning technologies to perform a nonlinear combination of multiple heterogeneous models to obtain better ensemble performance, however these require signiﬁcant modiﬁcations to the training or testing procedure and are computationally expensive compared to simply averaging. In this paper, based on the linear combination assumption, we propose an interpretable ensemble method for averaging model results which is simple to implement, and conducting experiments on the representation learning tasks of Computer Vision(CV) and Natural Language Processing(NLP). The results show that our method is superior to direct averaging results while retaining the practicality of direct averaging.
UTILIZING DESKTOP APPLICATIONS LENDING LAB EQUIPMENT AT MUHAMMADIYAH PALEMBANG IKEST

Utilization of information technology in all fields is a must to assist operational activities in processing data quickly and precisely. Each IKesT Muhammadiyah Palembang health laboratory has assets in the form of goods or equipment to support practicum activities and the learning process of the laboratory system. In every semester of lectures there will be practicum activities for several subjects and will always involve laboratory assistants to prepare and teach practicum. where the borrowing process is still manual. Application is a subclass of computer software that directly utilizes computer capabilities to perform a task desired by the user. the author will build a system for borrowing goods and equipment at the Muhammadiyah Palembang IKesT laboratory Management Unit using a Desktop application using Laravel 8
DESIGN OF ROOM INVENTORY APPLICATION USING LARAVEL 8 IN PONDOK AR RAHMAN PALEMBANG

The development of information systems is so rapid today, the application of information systems engaged in the management of goods is one of the information systems that is widely used by organizations or companies. The implementation of the goods information system is essentially an effort to maintain orderly documents and orderly administration of goods management. Ordering goods documents is related to efforts to provide and collect data or documents that accompany the existence of goods, while orderly administration is more intended to develop procedures for managing goods from procurement, receipt, data change, to deletion of goods. For an agency the management of goods is very important. At Pondok Ar-Rahman Palembang, all activities (room inventory) are still carried out manually and in recording new items, old items and damaged items in each room are still not well controlled, it can be seen by the existence of data items that do not match the stock records. This study aims to design a web-based room inventory application at Pondok Ar-Rahman Palembang, which in each room can manage data on new items, old items and damaged items, so that a well-structured recapitulation of goods is carried out. The system development method is waterfall.
Deep learning for structural health monitoring: An application to heritage structures

Abstract. In this work, we employ recent deep learning techniques for time-series forecasting to inspect and detect anomalies in the large dataset recorded during a long-term monitoring campaign conducted on the San Frediano bell tower in Lucca. We frame the problem as an unsupervised anomaly detection task and train a Temporal Fusion Transformer to learn the normal dynamics of the structure. We then detect the anomalies by looking at the differences between the predicted and observed frequencies.
Hybrid Recommendation System

In this paper we aim to explore and implement hybrid recommendation system using collaborative and content based recommendation system that can be applied to repairs marketplace. We developed multiple variants of proposed hybrid recommendation system architecture and compared their performance with a metric called hit rate. Furthermore, we discussed about data preparation and mathematical explanation of the machine learning models we used for hybrid recommendation system. To achieve this we used different python frameworks used for natural language processing and recommendation systems.
Teacher-student verbal communication and student learning

Teachers and students communicate through curiosity and attention. In social psychology, the instructor communicates and the pupil receives. Teaching-learning involves students getting teaching materials in various forms and teachers offering them in a dialogic style at a given time and location. Teacher-student contact is essential for effective teaching and learning. Teachers and students exchange psychological messages. Student learning achievement is multifaceted. Teachers' verbal communication skills affect student learning. Verbal communication—spoken or written—uses symbols or words. Teachers require solid language skills and a vast vocabulary to speak verbally because kids cannot understand specific words alone. This study seeks to understand how teacher verbal communication is implemented, how student learning is affected, and how. The association between verbal communication (variable X) and student learning success (variable Y) is researched using a quantitative descriptive method using a correlational study type, Product Moment (r). This strategy examines how components are connected.
Social Harmony of Wonokerto Village Society as a Source of Politeness Learning for Elementary School Students

The problem encountered in this study is the lack of politeness character education in students which causes a lack of student politeness. This study aims to describe the form of adherence to the principle of politeness in language that comes from the social harmony of the community which can be used as a source of learning politeness for elementary school students. There are many studies on character education for students, but there are still few that discuss politeness character education through politeness learning resources from the social harmony of the community which is not widely studied by other researchers. This research uses qualitative research. The research design is a case study. The resource persons in this study were village heads, school principals, and teachers. In this study, the data collection techniques used were observation and interview techniques. In this study, researchers used triangulation to test the validity of the data, namely technical triangulation, and source triangulation. This research was conducted using interactive data analysis techniques, namely data collection, data reduction, data presentation, and concluding. The results showed that the language attitude of the people was polite and could be used as a source of learning politeness for elementary school students. The implementation of politeness learning resources that come from the social harmony of the community is obtained from the kenduri tradition, the wedding celebration tradition, and community service.
Perjuangan Kesetaraan Gender Tokoh Wanita Dan Nilai Pendidikan Dalam Novel Gadis Kretek Karya Ratih Kumala

This study aims to describe and explain: (1) the struggle for gender equality of female characters in Ratih Kumala's novel Kretek Girl, and (2) educational values in Ratih Kumala's novel Kretek Girl.This type of research is qualitative research. This study used descriptive qualitative method. Qualitative descriptive method is a research procedure that produces description data in the form of words. The research data is a novel by Kretek Girl by Ratih Kumala.This study uses a feminism approach to describe the profile of female characters, the struggle for gender equality, and the sociological approach of literature to find out about the social conditions of the community in Ratih Kumala's novel Kretek Girl. The data collection technique used in this study was to read the entire contents of the novel and document analysis.The results of this study are as follows: (1) The struggle for gender equality of female leaders in Ratih Kumala's novel Kretek Gadis is against forms of gender injustice in the form of (a) stereotypes, (b) marginalization of women, (c) subordination of work, and (d) internal violence household. (2) Ratih Kumala's novel Kretek Girls educational values include: (a) the value of religious education that emphasizes between humans and God, (b) the value of social education refers to the relationship of individuals to other individuals in a society (c) the value of education morals that relate to the good or bad of human behavior, and (d) the value of cultural / customary education that is related to tradition, people's habits.
Korelasi Motivasi Belajar Terhadap Prestasi Belajar Siswa Kelas X Mata Pelajaran PAI Di SMKN 13 Malang

: Learning is an activity that proceeds and is a very fundamental element in the implementation of each type and level of education. This means that the success or failure of the achievement of the educational objectives depends very much on the learning process that students experience when they are at school or in their home or family. Based on the background of the above problem, then the formulation of the problem as follows: What is the learning motivation of students of class X Subject PAI In SMKN 13 Malang and Is there a correlation of learning motivation with student achievement class X Subject PAI In SMKN 13 Malang. The method used in data collection is descriptive method. While the approach taken is a quantitative approach. Data collection in this study includes literature study and field study. The implementation of this field study involves observation techniques, interviews, and using data collection instruments in the form of questionnaires. Based on the results of correlation analysis obtained 0,538. In order for this number to be meaningful, it needs to be interpreted so as to give an explanation of the correlation between learning motivation and student achievement, that is by consulting through the value of r on the product momenttable, either with a significance level of 5% or 1%. For more details will be interpreted r o and r t (table) as follows. At the level of significance of 5% with the number of respondents (N) = 22 obtained r t = 0.423, while r o = 0.538. Thus r o is greater than r t or in other words r o&gt; r t. This means indicating a significant or positive correlation between the two variables. At the level of significance of 1% with the number of respondents (N) = 22 obtained r t = 0.537, while r o = 0.538. Thus r o is greater than r t or in other words r o&gt; r t. This means indicating a significant or positive correlation between the two variables. So the hypothesis examined that "There is a significant correlation between learning motivation and learning achievement subjects PAI grade X students in SMKN 13Malang also low.