Reviewerly/exHarmony huggingface dataset:
Verification of a New Machine Learning SiNG in Classification Problems by a Large-scale Benchmark Problems

This paper aims to propose and validate a new machine learning for classification problems. Classification problems are important in engineering applications of machine learning, including pattern recognition. Neural networks and other classification problem evaluation methods already exist and have been well validated. We propose a new classification method: SiNG, which has a simple configuration and a much lower computational load than neural networks. This paper applies the proposed SiNG to benchmark problems that consists of large input parameters and is of practical importance, and performs further verification of the SiNG. As a result, we confirmed the effectiveness of the SiNG even in large-scale benchmark problems. Keywords: Optimization algorithms, Machine learning, Classification problems, Monte Carlo method
Students’ performance evaluation for secondary school in Mbulu district using mean and dispersion charts grade and fixed grading method

This article focuses on comparing the evaluation of students’ performance using the Mean and dispersion chart grade and fixed grading method. This quantitative study was conducted in Mbulu district council. The assessment of students’ performance is one of the challenges that face assessors in secondary schools. This quantitative study investigated students’ performance by comparing their performance using statistical quality control charts grade and fixed grading method. The study used secondary data collected from 240 sampled documents obtained from academic students’ progressive reports from six ordinary secondary schools in the Mbulu District. The students’ performance is analyzed by using statistical quality control charts grade and fixed grading method. The findings revealed that in the Mean and S chart grade method, a large number of students performed well than in the fixed grading method. The mean and S chart grade method was better than fixed grading in evaluating students’ performance since it lowers the cut-off point of the individual students’ performance. The finding has implications for evaluating students’ performance because secondary school teachers can use mean and S chart grades to raise individual students’ performance in each subject.
Students' Opinions and Attitudes about Online Teaching

The appearance of the pandemic changed everyday life on the entire planet in a very short time. In order to preserve health, all possible activities were digitized. Traditional teaching has been replaced by distance learning. The educational staff in our country has started online teaching in a very short time. Curricula have begun to be realized via the Internet applications. In order to improve online teaching, it is necessary to examine its shortcomings and advantages both by teachers and students. The results of research related to students' opinions and attitudes about the organization of online teaching and their personal opinion are presented in the paper.
Razumevanje delovanja umetne inteligence je od matematike sedmega razreda oddaljeno največ 37 konceptov

Learning space is a formal mathematical structure that enables modeling of a learning process. Knowledge structure consists of items of information that the individual learns, and the states of knowledge, in which the individual finds himself when he acquires knowledge. Items of information and states of knowledge respect the axiom of accessibility and learning consistency. A path in the learning space represents a walk from the state, where the individual does not know any of the items, to the state in which the individual acquires all the items of information. In this paper, we analyze the learning space of seventh-grade mathematics and the learning space of a research paper, in which a seventh grader presented the reinforcement learning algorithm of the game Nim at a level accessible to elementary school students. Based on the analysis, we evaluate that reinforcement learning is 37 items of information away from seventh grade math to understand, not accounting for the concepts required to program it in Python. We complete the analysis with suggestions of further research on introducing artificial intelligence in primary and secondary schools.
Tinjauan Kapasitas Sistem Drainase di Perumahan Center Park Palembang Menggunakan PCSWMM

This research focuses on reviewing the drainage system's capacity in Alang-Alang Lebar Center Park Residential Area, Palembang City. Several spots in this area are frequently flooded, especially during heavy rainfall. Field surveys were conducted to acquire the required data, such as topographic maps, aerial photographs, dimensions, and elevations of drainage channels. This research uses the maximum daily rainfall data recorded at the Sultan Mahmud Badaruddin II Airport station for 25 years (1996 – 2020). The return periods used to determine the magnitude of 3 hours-design rainfall are 2 and 5 years. The hydrodynamic simulation of the drainage system was carried out with an integrated 1D-2D model using PCSWMM 2021 Professional 2D version 7.4. The simulation results show flooding occurred in the Willow, Cassia, Bougenville, and Amaryllis blocks. The most significant overflow occurred in the Willow block, causing flood inundation with a maximum height of 0.1 m. Recommendations for increasing the capacity of the drainage system to prevent flood overflows are by enlarging several secondary channels and adding culverts to divert some of the flow discharge in a channel so that it is distributed to other channels. The results of this study are expected to confirm the capability of the PCSWMM model in the design and evaluation of drainage systems in urban areas. Also, the results of this study are expected to emphasize the importance of the role of the hydrodynamic model as a tool for planning the capacity of an adequate drainage system.
Semi-feature Sharing Deep Ensemble Model based on Sensor Data

Human activity recognition(HAR) analyzes human activity information through sensors in wearable devices. Research on HAR based on deep learning has been widely used. The deep ensemble model enhances the generalization performance of the model based on the deep model. However,the deep ensemble model must train multiple models simultaneously, which requires a large amount of computing resources and time. In this paper, semi-feature shared blocks are used to construct correlated redundant features on the feature map so that the model training of each path in the deep ensemble model can generate input diversity. At the same time, we perform feature fusion on the base classifiers of the model so that the deep ensemble model can learn deeper data features while adding base classifiers. We use depthwise convolution instead of traditional convolution to reduce the model's computational complexity without changing the baseline model's structure. Compared with conventional ensemble learning methods, our proposed model has better results in terms of parameters and computation.
Develop of Shoe Box that Automatic Putting in and out of Shoes

Cases of customers' shoes are putted on the wrong shoes by other or stolen in restaurants and other establishments have been identified. A miniature-sized prototype of a shoe box that uses facial recognition to manage shoes had previously been developed to eliminate the loss of shoes in restaurants and public places. In this paper, we have developed an automatic shoe box of full size. The system also features a function that automatically stores removed shoes in a shoe box so that the elderly and physically challenged can easily take shoes in and out of the shoe box. First, users remove their shoes at a designated area. The camera then stores the user's facial information and automatically stores the shoes in the shoe box. When the shoes are to be removed, the camera checks the user's face and looks for the same face from the faces stored when the shoes are stored. If the same face is found, the shoes of the corresponding user are automatically removed from the shoe box. If the same face is not found in the list, the shoes are not taken out and an error message is displayed. The shoe boxes can be used to prevent someone putting on the wrong shoes or stealing shoes stored in the shoe box. In addition, automatic shoe putting in and out makes it easier for disabled people to store and remove shoes from shoe boxes.
FSANet Stereo3D Binocular Detection Network

Traditional binocular 3D object detection uses ResNet50 to extract multi-level features, which has the problems of lack of adaptability and loss of information. Inspired by YOLOV5, this work uses the Focus module to perform down-sampling to replace the ResNet50 network to extract multi-level information. On the other hand, the cost-volume are reweighted to get better depth. ASPP models are used for multi-dimensional object detection.The above constitutes the FSANet network.In the Kitti dataset, better results were obtained.
PENERAPAN SISTEM INFORMASI AKUNTANSI PEMBAYARAN PADA PEMBERIAN IZIN TINGGAL KUNJUNGAN WNA DI KANTOR IMIGRASI KELAS I KHUSUS TPI NGURAH RAI

This study aims to determine the Payment Accounting Information System for Foreign Visit Stay Permits and to find out whether the applied SIA can encourage a better service system in granting Foreign Visit Stay Permits at the TPI Ngurah Rai Special Class I Immigration Office. The data collection technique was carried out by analyzing and presenting the data obtained through interviews and study documentation related to the payment system for stay permits for foreign visits conducted at the TPI Ngurah Rai Immigration Office. The result found is that the payment of a stay permit for a foreigner's visit uses the Non-Tax State Revenue (PNBP) system which is automatically integrated with the information system at the Ministry of Finance. Also the system for granting stay permits for foreign visits has been carried out using the Immigration application managed by the Directorate General of Immigration. Both of these systems make it easier for users to carry out payment activities for applicants and provide residence permits for immigration officials because they are automatically systemized and interconnected with the department or division concerned.
Penerapan Hypertext Transfer Protocol Web Server untuk Over-The-Air Auto Update Firmware pada Perangkat IoT

Devices in the IoT system are located in many places and difficult to be accesses physically by system administrator. Besides, short life cycle of software/firmware requires to be updated periodically in order to improve the embedded system function to meet the system requirements. These conditions shows the difficulty to update the devices physically. Auto update firmware over the air system became a solution for physical acsess and periodically updated problem which developed by implementing Hypertext Transfer Protocol Web Server. This research is part of study of developing IoT Management System in agricultural environment. This system is in form of web application as an interface to control and manage the update system and a software for update firmware that embedded in the IoT devices. The results shows that the system is able to update firmware of the IoT devices that connected to different network at the same time automatically. Besides, this system can serve around 29,000 request for firmware update concurrently.
Development of E-Book Textbooks in Injury Prevention and Treatment Subjects Based on Media Flip Book Maker

This study has the objectives of knowing the results of identifying learning outcomes problems, reviewing and planning products, knowing the consequences of expert trials, the results of small group trials and large group trials, and knowing the effects of product effectiveness tests from the E-Book Textbook for the Prevention and Treatment course. Injury-Based Media Flip Book Maker. This study uses a research development/RnD (research and development) approach. The data source for this research is IKOR Untirta students class of 2018-2021. The data collection techniques used were: a) Interview techniques, b) Questionnaire techniques, c) Test techniques, and d) Observation techniques. Qualitative and quantitative approaches were chosen as data analysis techniques in this study. The research results in the first stage showed that the final percentage of the evaluation of academic experts was 80.2%, with the results of assessments from practitioners, namely 84.2%, so an average of 82.2% was obtained from the expert test. And the two experts have stated that the contents of the product design are feasible for further trials in the limited/small group trial stage. From the table above, the initial product in each chapter has an average rating of 79% for ease of understanding, 69% for attractiveness, and 84% for usefulness. And it needs improvement at several points in specific chapters to get better results from the initial product. In the large group trial stage, each chapter has an average rating of 88% for ease of understanding, 87% for attractiveness, and 90% for usefulness. The points in each chapter no longer require significant improvement because the researcher assesses from the table above that each chapter has obtained satisfactory results on the product effectiveness test. The conclusion from this study is that the methods that have been used so far have not been able to make students understand PPC material fully; product preparation is prepared using systematic steps referring to the current P2SIKI curriculum; in the expert test it is stated that the contents of the product design are feasible for testing the next stage, the results of the small group and large group trials need to be carried out several evaluations which are completed at the product revision stage. Finally, the effectiveness test results show a significant effect of using e-book textbooks based on flip book maker media on student understanding in injury prevention and treatment courses.
TRAINING IN OPERATING MICROSOFT WORD AND MICROSOFT EXCEL COMPUTERS IN CHILDREN IN KLAMPOKAN SITUBONDO VILLAGE

A computer is an electronic device that is used to calculate. The development of computer technology metamorphosed into internet technology where the internet has become an important part of the various application used for business, including information system applications. The development of the internet has penetrated almost all corners of the world, including one of them, namely Klampokan Village in Panji District, Situbondo regency. Microsoft Word dan Microsoft Excel is software that must be mastered by children from now on. The problem is that computer facilities and rooms are in the village hall, but the lack of knowledge about the use of Microsoft Word and Excel applications and the lack of teaching media in schools such as teachers and computers and the absence of computer training lessons in Klampokan Village, especially Microsoft Word and Excel are the reasons for the children in Klampokan Village. Panji District cannot use Microsoft Word and Excel. The existence of Microsoft Word and Microsoft Excel computer operation training is so that the Klampokan village children master the techniques of making financial reports, making tables, and financial report headers, including writing the correct formula format, logic truth, table format, and in the future being able to help the Klampokan Village administration.
Psychology of the Deviant Forms of Economic Personal Behavior in the Cyberspace

The author achieved the defined goal of the research - the psychological features of the deviant forms of economic behavior of an individual in cyberspace were considered. When writing the article, we used a classic set of philosophical and worldview, general scientific methods to implement the problematic completeness of our research and obtain scientifically based and reliable results and general conclusions: synthesis, logic and structure of the presentation, analysis and generalization of the problems of scientific sources. Linguistic methodology and the method of cognition were used to study the problematic issues of this work in the unity of their visual and factual perception, social content, legal and terminological form of representation. The systemic-structural approach made it possible to conceptually form, implement the theoretical foundations and model the complexity of the research discourse. It was noted that crime and delinquency are related to both internal factors that mediate criminal tendencies and external factors such as interaction with other types of crime, age, gender, material values, and the influence of peers. It is concluded that the specifics of deviant forms of individual economic behavior in cyberspace are still not sufficiently studied, and attention is focused more on more popular types of cyber deviance. It was noted that one of the problems is the difficulty of conducting research when referring to various theories and taking into account the key feature of cyberspace - anonymity. At the same time, it is emphasized that the main goal of psychological science is to provide information about current problems, for example, the peculiarities of the formation of economic cyber deviance; detection of a tendency to this type of behavior; planning correctional and educational psychological work with deviants and victims of economic cybercrime.
Personality Traits Contributing to Anxiety and Phobic Disorders in Psychology Students

The research analyses factors of personal predisposition to anxiety and phobic disorders among psychology students. The research subject is insufficiently covered in scientific publications; therefore, it needs further study. The purpose of the research is to identify personal factors of predisposition to anxiety-phobic disorders in psychology students. The research uses Freiburg Personality Inventory, Questionnaire of the Hierarchical Structure of Actual Personal Fears; Integrative Anxiety Test; Patient Health Questionnaire (PHQ) - Panic Screening Questions. 70 students took part in the study (male/female ratio is 21/49). All of them studied at the Faculty of Psychology of Taras Shevchenko National University of Kyiv. The age of the respondents is from 18 to 22 years old, the average age is 20.00, the standard deviation is 1.47. The personal profile of psychology students is distinguished by the following characteristics. The extremes are openness (upper peak) and shyness (lower peak). The second-highest indicator is for sociability; and the third is for neuroticism. Next to the lower peak there is also an indicator of reactive aggressiveness. The research establishes gender differences in the manifestation of neuroticism and reactive aggressiveness of psychology students, the correlation of current fears, anxiety, and the tendency to panic attacks with personality characteristics. It builds prognostic models of the influence of personal traits on the tendency to manifest current fears, situational and personal anxiety, and panic attacks. In descending order of influence: phobic symptoms are influenced by anxious assessment of prospects, shyness, emotional lability; personal anxiety is influenced by depression, neuroticism, spontaneous aggressiveness; situational anxiety is influenced by depression, current fears and introversion; tendency to panic attacks is influenced by neuroticism.
PROSES KREATIF PENGARANG NOVEL THE POWER OF DREAM NINA NURRAHMAH DAN IMPLEMENTASINYA PADA RANCANGAN PEMBELAJARAN SASTRA DI SMA KELAS XII

The purpose of this study is to describe the creative process of Nina Nurrahmah as the author of the novel The Power of A Dream and its implementation in the design of learning literature in high school class XII. This research was conducted to overcome the problems that exist in high school class XII regarding novel design. The results showed that there was a series of creative processes that Nina went through. Nina's creative process starts from the urge to write, activities before writing, activities during writing, to activities after writing. Starting from the reason for writing, conducting interviews before writing, the repetitive activities carried out while writing, until the stage where the work was finished all reflecting Nina's cultural, religious, and educational background. All of Nina's creative processes are very worthy of being used as inspiration in creating effective and interesting learning, which can be implemented in the RPP (Learning Implementation Plan).
Quality and User Satisfaction of SIMPADU in Business English Study Program of Languages and Literature Faculty of Universitas Negeri Makassar, Indonesia

This study aims to examine the effect of system quality seen from reliability, ease of use, flexibility and functionality to SIMPADU user satisfaction Universitas Negeri Makassar within Faculty of Languages and Literature in Business English study program active in odd semester 2014/2015. This study also proves that simultaneously or together - Reliability, Ease of use, flexibility, and functionality have significant effect on SIMPADU user satisfaction.
Computational Experience with Modified Coefficients Conjugate Gradient for Image Restoration

The Conjugate Gradient Method is a numerical optimization technique that finds the optimal solution by focusing on the coefficient conjugate. This paper presents a new coefficients conjugate gradient method for removing impulse noise from images, which is based on a quadratic function and is proven to be globally convergent. Results show that it is an effective method for image restoration.
Evaluating Microsoft office 365 implementation in learning at state senior and vocational high schools in Pohuwato

This research aims to evaluate the implementation of Microsoft Office 365 in learning at state senior and vocational high schools in Pohuwato. The approach used in this descriptive research was a mixed method with an explanatory design. The research population comprised 402 people, reduced to 40 using Slovin’s formula. Primary data were collected through questionnaire distribution, interview, observation, and documentation. The data analysis technique was the descriptive analysis using the CIPP evaluation model. The results suggested that (1) based on the context evaluation, teachers actively looked for information about Microsoft Office 365 and participated in training regularly or through partners, (2) based on the input evaluation, teachers prepared many different pivotal aspects to input learning using Microsoft Office 365. The primary inputs were lesson plans and other instruments, (3) based on the process evaluation, the implementation of Microsoft Office 365 in learning was effective. The COVID-19 pandemic made teachers make learning innovations, and (4) based on the product evaluation, teachers could make a positive learning product or content material that fostered students to be active in either online, offline, or hybrid learning and escalated their learning outcomes.
Exploring chemistry Language through the Framework of Cognitive Grammar01

Cognitive Grammar can be applied to better understand the language used to describe chemistry by analyzing prepositional meanings, roles of trajectors, cognitive metaphors, concepts of thing and relation, immediate scope, and prototypes. The ideas of elaboration and extension show that language is crucial for developing and communicating scientific concepts in chemistry. Overall, the framework of Cognitive Grammar can enhance communication and understanding in chemistry. Here we present some innovative ideas for processing chemistry based on cognitive Grammar.