Reviewerly/exHarmony huggingface dataset:
COMPARISON OF MULTILAYER PERCEPTRON’S ACTIVATION AND OP-TIMIZATION FUNCTIONS IN CLASSIFICATION OF COVID-19 PATIENTS

Abstract: Patient’s symptoms could be used as features in Covid-19 classification. Using multi layer perceptron, the classification uses data set that contains patient’s diagnosis which has Covid-19 symptoms dan processes the data set to see if the patient is Covid-19 positive or not. This paper compare four activation function such as identity, logistic, ReLu and tanh and combined them with optimizer such as L-BFGS-B, SGD and Adam. Using 5-fold and 10-fold cross validation technique to get the accuracy, F1, precision and recall values, the result that we get is that logistic function with L-BFGS-B optimizer and ReLu function with L-BFGS-B optimizer are the best combinations. The logistic function with SGD optimizer, ReLu function with Adam optimizer and tanh function with Adam optimizer are the worst combinations according to their accuration values. The logistic function with SGD optimizer is the worst combination according to its F1 value. The logistic function with SGD optimizer and tanh function with L-BFGS-B optimizer are the worst combinations according to their precision values. The logistic function with SGD optimizer, ReLu function with Adam optimizer and tanh function with Adam optimizer are the worst combinations according to their recall values. Keywords: activation function, covid-19; multi layer perceptron; optimizer algorithm Abstrak: Diagnosa gejala yang dialami pasien dapat digunakan sebagai fitur dalam klasifikasi penderita Covid-19. Dengan multi layer perceptron, klasifikasi dilakukan menggunakan data set yang berisi hasil diagnosa pasien yang memiliki gejala Covid-19 dan selanjutnya diolah untuk melihat apakah memang pasien tersebut menderita Covid-19 atau tidak. Penelitian ini membandingkan fungsi aktivasi identity, logistic, ReLu dan tanh yang dikombinasikan dengan algoritma optimasi L-BFGS-B, SGD dan Adam. Hasil evaluasi cross validation menggunakan 5-fold dan 10-fold digunakan sebagai dasar menentukan kombinasi yang terbaik dan terburuk, dengan hasil yang menunjukkan bahwa kombinasi fungsi logistic dengan optimasi L-BFGS-B dan fungsi ReLu dengan optimasi L-BFGS-B merupakan kombinasi terbaik. Kombinasi fungsi logisctic dengan optimasi SGD, fungsi ReLu dengan optimasi Adam dan fungsi tanh dengan optimasi Adam merupakan yang terburuk dari nilai accuracy. Kombinasi fungsi logistic dan optimasi SGD merupakan kombinasi terburuk dari nilai F1. Kombinasi fungsi logistic dengan optimasi SGD dan fungsi tanh dan optimasi L-BFGS-B merupakan yang terburuk dari nilai precision. Kombinasi fungsi logisctic dengan optimasi SGD, fungsi ReLu dengan optimasi Adam dan fungsi tanh dengan optimasi Adam merupakan kombinasi terburuk dari nilai recall. Kata kunci: algoritma optimasi; covid-19; fungsi optimasi; multi layer perceptron
PREDICTION OF 35,000 ALL CLOTHES SALES RANGE USING WMA METHOD

Abstract: The 35,000 department store is a business engaged in the sale of clothes, having its address at Jalan Sisingamangaraja. Clothing is one of the basic human needs to protect and beautify themselves. The problem that occurs in the 35,000 department store is the difficulty of predicting the number of clothing sales, resulting in an accumulation of goods. The method used in this study is the Weighted Moving Average (WMA) forecasting method. The purpose of this study is to apply the Weighted Moving Average method to the forecasting system in determining clothing sales at 35,000 convenience stores. The results of the application of the Weighted Moving Average method to predict clothing sales that have been made, then get the prediction results for June 2022 using 3 weights totaling 203 Pcs with an error accuracy of 33.40% and prediction results for June 2022 using 6 weights totaling 220 Pcs with accuracy 34.31% error. The conclusion is that the Weighted Moving Average method can accurately predict clothing sales at 35,000 department stores. Keywords: Clothes; Prediction; Sales; WMA Method Abstrak: Toko serba 35.000 adalah usaha yang bergerak dalam bidang penjualan baju yang beralamat di jalan Sisingamangaraja. Baju merupakan salah satu kebutuhan pokok manusia untuk melindungi, dan mempercantik diri. Permasalahan yang terjadi pada toko serba 35.000 adalah Sulitnya memprediksi jumlah penjualan baju, sehingga mengakibatkan terjadinya penumpukkan barang. Metode yang digunakan dalam penelitian ini adalah metode peramalan Weighted Moving Average (WMA). Tujuan penelitian ini adalah untuk menerapkan metode Weighted Moving Average pada sistem peramalan dalam menentukan penjualan baju pada toko serba 35.000. Hasil penerapan metode Weighted Moving Average untuk memprediksi penjualan baju yang telah dilakukan, maka mendapatkan hasil prediksi bulan juni 2022 dengan menggunakan 3 bobot berjumlah 203 Pcs dengan akurasi kesalahan 33,40% dan hasil prediksi bulan juni 2022 dengan menggunakan 6 bobot berjumlah 220 Pcs dengan akurasi kesalahan 34,31%. Kesimpulan yang diperoleh bahwa metode Weighted Moving Average dapat memprediksi penjualan baju pada toko serba 35.000 dengan akurat. Kata kunci: Baju; Metode WMA; Penjualan; Prediksi
The impact of E-service quality, Facebook usage and Artificial Intelligence on E-learning systems: The mediating role of student satisfaction

The adoption of e-learning systems has been increasing and reports indicate that Asia has the highest percentage of the growth towards e-learning systems. Following this backdrop, the main purpose of the present study was to evaluate the role of the E-service quality, Facebook usage, artificial intelligence, and student satisfaction on the usage of the E-learning systems. Sample data was collected from students enrolled in any institute offering e-learning in Malaysia. A total of 500 questionnaires were disseminated to the participants identified via online polling and a total of 412 usable questionnaires were evaluated for SEM. The findings of the study show that the usage of Facebook, Artificial intelligence, the satisfaction of students, and E-service quality affected the use of the E-learning systems. Students’ satisfaction was also found to positively mediate with AI, FBU, ESQ, and ELS. E-learning adoption is increasing in Malaysia and the recent outbreak of COVID-19 has also invigorated the need for the development of effective e-learning programs so that the education of students doesn’t get interruptions. The present study has important theoretical and practical implications in this regard; the findings can be applied to the development of e-learning systems of the country
COMMUNITY HEALTH, QUALITY EDUCATION AND POVERTY REDUCTION: HOW IMPORTANT THE FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH ARE IN PAKISTAN?

The main focus of the study is to investigate the strength of binding between financial development, economic growth and sustainable development goals (SDGs) including community health, education and poverty reduction for Pakistan. The autoregressive distributed lag approach was used to analyze the relationship among the variables using data ranging from 1972 to 2018. The empirical evidences showed a joint collision of financial development and economic growth on SDGs i.e., infant mortality, life expectancy, quality education and poverty reduction. Similarly, SDGs and economic growth together cause the accomplishment of financial development. The attainment of SDGs such as increased private per capita consumption expenditure, enrollment at primary and secondary level and low infant mortality rate and life expectancy along with economic growth showed its impact on the financial development for Pakistan.
A Multi-Bit Non-Volatile Compute-in-Memory Architecture with Quantum-Dot Transistor Based Unit

The recent advance of artificial intelligence (AI) has shown remarkable success for numerous tasks, such as cloud computing, deep-learning, neural network and so on. Most of those applications rely on fast computation and large storage, which brings various challenges to the hardware platform. The hardware performance is the bottle neck to break through and therefore, there is a lot of interest in exploring new solutions for computation architecture in recent years. Compute-in-memory (CIM) has drawn attention to the researchers and it is considered as one of the most promising candidates to solve the above challenges. Computing-In-memory is an emerging technique to fulfill the fast-growing demand for high-performance data processing. This technique offers fast processing, low power and high performance by blurring the boundary between processing cores and memory units. One key aspect of CIM is performing matrix-vector multiplication (MVM) or dot product operation through intertwining of processing and memory elements. As the primary computational kernel in neural networks, dot product operation is targeted to be improved in terms of its performance. In this paper, we present the design, implementation and analysis of quantum-dot transistor (QDT) based CIM, from the multi-bit multiplier to the dot product unit, and then the in-memory computing array.
Reproduction tracks

Introduction to the issue on the visuality and the politics of reproduction, particularly devoted to the reflections on various definitions of life, uses of technology and problems of identity (individual, social, sexual), as well as frameworks of parental involvement and care.
Development of Laboratory Skills Application Based on Android as a Media of Flipped Learning Model for Nursing Student

The development of the current era is closely related to the increase in digitalization. The impact of the development of digitalization has a positive effect on the field of education. Online learning using digitalization changes learning models that tend to be passive to active through the management of learning models in the classroom or laboratory based on digital media. The research design was development method which was adapted from the 4D model (Four D Model) which consists of four stages, namely: define, design, development, and dissemination. The data type of this research is quantitative data. Quantitative data is obtained from scores from experts and nursing student as user. The data type of this research is quantitative data. Quantitative data is obtained from scoring scores from experts and nursing student as user. This research was conducted at Nursing Study Program, Sekolah Tinggi Ilmu Kesehatan Harapan Ibu Jambi, Jambi Province, Indonesia. The results of media on experts learning applications get a percentage 96.25%. These percentage can be interpreted as application of dissemination media and is very decent to use. The results by design experts, overall learning application get a percentage 85.2%, with these percentage can be interpreted as application of dissemination media is very decent to use. The results of the attractiveness test show that nursing student respond very well to the use of Android as a learning media for flipped learning models. Nursing student consider the packaging of material in the form of material, procedural, learning videos and article, as well as the interactivity and ease of use of these media to make material about skills laboratory more interesting to study.
An Overview of the State-of-the-art Virtual Machine Placement Algorithms for Green Cloud Data Centres

Increased energy consumption in Cloud Data Centres (CDCs) increases the carbon footprint. Efficiency of the data centres thus needs to be improved through server consolidation using effective virtual machine (VM) placement and migration techniques and minimizing the number of active physical machines (PMs). One of the problems is how to operationally allocate the VMs to PMs. These allocations have both operational costs and energy consumption issues. To achieve the aim of ‘Green Computing’ a number of state-of-the-art machine learning algorithms have been proposed for the VM placement. The authors of this paper have provided a detailed discussion and comparison of some of the current research works on energy efficiency. and cons of each of these techniques have been discussed. Some future research prospects in this field have also been mentioned at the end.
Web-Based Product Marketing Information System Design at Definier Store

Definier is a product brand that is engaged in accessories. The development of this store is quite fast because in 2020 there have been many orders from outside the city/district. This is because many customers spread information about the existence of this store and the quality of the goods sold. The research supported by this paper aims to help Definier have or have an overview of a Website that will support promotion and marketing in the world of the digital era. The problems faced According to this definition, a better marketing system is needed so that enthusiasts who come from outside the city can purchase goods without difficulty due to long distances. Therefore, the researcher created a web-based product marketing information system that serves to help store marketing become wider. The analytical method used is the pieces method by obtaining more specific issues in making this product marketing information system customers from outside the city. helped to make purchase transactions, where all information about the store is the address, contact of the store, and a list of goods sold along with pictures of the goods. This website is made using the windows operating system using the php web hosting platform and using the mysql database. The conclusion of this research is the implementation of a Web-Based Marketing Information System at the Definier store, which is to facilitate wider product marketing, with a modern appearance and a good user interface and easy to use by the public. this Definier store will be even better in the future and also help facilitate the marketing of the Definier store.
A method for rotation matrix estimation in stereo visual odometry based on left and right rotation averaging

For Stereo Visual Odometry (SVO), the rotation and translation of camera motion can be estimated simultaneously or separately in which rotation is extracted from an essential matrix. Most of state of art methods computing the parameters of rotation camera motion only use each pair of consecutive image frames on the left side. This leads to not leveraging the worth information of a pair of consecutive image frames on the right side. This paper presents an approach to leverage this information during computing rotation by averaging of value of rotations extracted from both left and right sides. The proposed method is evaluated on the KITTI dataset to verify the performance of this algorithm. The experimental result indicates that the proposed approach enhances about 10% accuracy compared to other methods in the same scenario.
MENINGKATKAN KEMAMPUAN READING SISWA DENGAN METODE PHONICS APPROACH PADA SISWA KELAS TUJUH (VII) MTS NW TANAK BEAK BARAT

Reading ability is an important skill that has to be acquired by students, especially in English. Regardless of that fact, we from Institut Pendidikan Nusantara Global team took initiative to conduct training that can assist students to overcome students reading ability by the theme Teaching Reading—Based Phonics Approach. This activity is carried out at the seventh graders (VII) of MTs NW Tanak Beak Barat. The methods we used in this community service are observation, socialization with the school stockholders, and doing the program. The result of this program is that there is an improvement in students’ reading ability at the seventh graders (VII) of MTs NW Tanak Beak Barat. In addition, there is an improvement in the students’ motivation after learning English through Phonics—Based Approach, so that students are not pressured and enjoy the learning activity.
Extra-Curricular Activities as an Important Factor for Developing Subject Qualities of Future Engineers

We examine the need to develop the subjective qualities of students at technical universities based on the analysis of Russian and foreign research on future engineers’ training. We consider the peculiarities of future engineers’ educational process, based on the importance of extracurricular activities in the development of such qualities. The purpose of the study is to test the hypothesis about the effectiveness of developing the subjective qualities of future engineers by involving them in extracurricular activities that were formed at the initial stage. The paper describes a pedagogical experiment that includes three stages. The set of research methods includes analysis, synthesis, comparison, generalization, pedagogical observation, questionnaire survey, testing, conversation, expert assessments, and statistics. We present different directions and types of activities organized within the experimental work with pedagogical support. Besides, we give examples of extracurricular activities that contribute to the successful development and manifestation of the specified personal qualities in students. The paper contains evidence of the effectiveness of extracurricular student activities as a factor in developing subjective qualities.
Theoretical Foundations Development of Vocational Pedagogical Education in the 1920s – Early 1930s

The work focuses on studying the theoretical foundations of vocational pedagogical education, developed by scientists, educational management employees, and practicing teachers in the 1920s – early 1930s. This is the stage of system formation of training teachers of particular professional disciplines and industrial training instructors (masters). The purpose of the study is to establish the most significant and conceptual theoretical provisions formulated on the problems of the organization and content of training special teaching staff in the historical period under study. The study results, generalization, and systematization of documents and materials found in archival and library funds related to the formation of a system for training special pedagogical personnel are presented. This study is significant not only for understanding the features of the genesis of the vocational and pedagogical education system as an independent industry in the Russian education system, which successfully developed up to the 2000s, but also for determining the prospects for its development in the new socio-economic and socio-cultural realities.
Implementing a Network Project for Pedagogical Workers Within the Framework of Continuing Education: A Case Study From Russia

The article presents the experience of Kursk State University and the department of education pedagogy of the International Children Center “Artek” for the implementation of a network project aimed at programs of continuing professional education of employees of Artek, including pedagogical workers. The authors present the result of providing a network project to implement additional professional programs for a new generation. The research aims at identifying new opportunities for everyone while implementing a network project for training pedagogical workers at Artek. The paper presents the experience of implementing continuing professional education programs at Artek when implementing a network project covering various training areas. All implemented programs are characterized by newness and modern approaches in educational practice. The research is based on the system-activity and personality-oriented approaches, the theory and methodology of vocational education. As a result of the study, the quality of the training program improved, and highly qualified specialists worked on implementing this project. Moreover, the massive coverage of students allowed them to improve their qualification level of education.
Organizational and Pedagogical Problems of Additional Professional Education

The paper analyzes the basic requirements of professional and public accreditation to the organizational and pedagogical component of additional professional education. The research aims to analyze and characterize the main trends that determine the change in the requirements for the content evaluation and implementation of additional professional programs as one of the aspects of the professional education teacher. Based on the current trend analysis, the necessity of changes in additional professional programs is justified by (1) revision of the approach to the structure and content of additional professional programs, to teaching staff training ensuring their implementation; (2) solving the problem of the invariant and variable ratio of educational programs components; (3) considering the changes in qualification requirements, demands of the labor market, and employers to ensure the anticipatory character of specialists development.
Do Globalization, Technology Adoption and Economic Development Influence Income Inequality in Developing Asian Nations?

Currently, income inequality has become an international issue that needs to be overcome and also requires the attention of researchers and policymakers. Hence, this study is an attempt to explore the impact of globalization, technology adoption, and economic development on income inequality. For this purpose, 20 years of large-scale panel data over the period from 2001 to 2020 for ten emerging Asian nations (Iran, Jordan, Iraq, Laos, Pakistan, Bangladesh, Sri Lanka, Thailand, Indonesia, and the Philippines) is mined from the World Bank database and KOF globalization index. In order to inspect the empirical relationship among the selected variables, the panel data fixed effects model (FEM) along with the robust standard error is employed. The results indicate that globalization, technology adoption, and economic development have a negative linkage with income inequality, which means these factors play a significant role in removing the income inequality in developing countries. This study provides insight for policymakers while developing policies regarding income inequality elimination in the country.
English Teaching Material Development Based on Tynker Program in Improving Fourth-Grade Students’ Vocabularies

In 21st-century learning, students must have access to communication, collaboration, critical thinking and problem solving, dan creativity, and innovation, including elementary students. Tynker is a platform for learning programming for kids that teaches them game design, web design, animation, and robotics. The study aimed to develop English teaching material based on the Tynker program to improve the vocabularies of fourth-grade elementary students. The subject of the study was 20 students in fourth grade in Zia Salsabila Private School. The researchers used Research and Development design in this study. The techniques of collecting data were observation, interview, and questionnaire. Furthermore, the researchers analyzed the data using descriptive qualitative and quantitative analysis. The result of the study showed that English teaching material based on the Tynker program improved students' motivation for vocabulary learning. Tynker-based teaching resources can be an alternate learning tool for fourth-grade elementary school pupils, particularly for developing vocabulary. The Tynker Program can help as a tool for learning English, but the researchers recommend using it with the proper learning resources. The teacher can download the Tynker program and develop their lesson plans using some of Tynker's topics. The teacher can use Tynker to give students resources for learning English and assist them in subjects where they feel learning English is difficult or dull.