Reviewerly/exHarmony huggingface dataset:
Covid-19'da Pozitif Vaka Oranı Tahmini İçin Aşırı Öğrenme Makinesi Algoritmaları: Karşılaştırmalı Bir Çalışma

Various pandemics have been recorded in world history until today. The Covid-19 outbreak, which emerged at the end of 2019, has recently been a hot topic in the literature. In this work, extreme learning algorithms are presented as a comparative study for predicting the positive rate for the countries: India, Turkey, Italy, USA and UK. The features to be used in the learning phase are determined with the F-test feature selection method. For each extreme learning approach, results are obtained for each country with the root mean square error evaluation criteria. Accordingly, the radial basis kernel function produces the best estimation results, while the linear kernel function has the highest RMSE. Accordingly, the lowest RMSE value has been obtained for India as 4.17E-03 with the radial basis kernel function based ELM. Also, since Turkey's data contains too many outliers, it has the highest RMSE value (0.015 - 0.035) in linear kernel method among the countries.
THE DECISION MAKING METHOD FOR AWARDING SCHOLARSHIPS TO STUDENTS USING COMPOSITE PERFORMANCE INDEX ALGORITHM

Higher education in Indonesia has several programs to help reduce the burden on students, one of which is through a scholarship program. Scholarships given can be obtained with the terms and conditions that apply at each university. Mitra Gama Institute of Technology is one of the private universities in the province of Riau which always runs a scholarship aid program. The problem that has been happening so far is that the procedures carried out are still using a document checking system without involving a weighting system and the right criteria and time constraints have always been an obstacle in determining scholarship recipients. This research was conducted as a solution to create an innovation in the form of making a computerized decision support system using criteria and weight values ​​so that scholarship recipients are on target. Composite performance index is the method used in this study. The purpose of this research is to create a decision support system for the selection of scholarship recipients to be more systematic and time efficient in the process. There are 5 alternatives used and 4 criteria, namely parents' income, GPA, electricity consumption and semester. The results of the research carried out were obtained the 5 highest composite index values, namely MHS4 with a value of 200.00, MHS1 with a value of 134.14, MHS5 with a value of 120.00, MHS3 with a value of 87.00 and MHS2 with a value of 85.71.
ANALISIS VOLATILITAS CRYPTOCURRENCY PADA SEBELUM PANDEMI DAN PADA SAAT PANDEMI COVID 19 DENGAN METODE RETURN PADA BITCOIN DAN ETHEREUM

&lt;p&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Cryptocurrencies like Bitcoin, Ethereum and are high volatility digital commodities, so using them as an alternative to trading investments is very dangerous. Volatility analysis, portfolio formation, and implementation forecasts need to be carried out to minimize risk levels and risk management to help investors/traders make decisions. If you estimate, its use is suitable for analyzing the returns and volatility of cryptocurrencies. The Metode used in this study are methods of converting data into returns, detecting constancy with the ADF test, and normality testing with the JarqueBera test. The result of this study is that there are differences in the rate of return on bitcoin and ethereum coins every year, in these two crypto coins have experienced a very significant increase from before the covid 19 pandemic to covid 19. The result of this study is that there are differences in the rate of return on bitcoin and ethereum coins every year, in these two crypto coins have experienced a very significant increase from before the covid 19 pandemic to covid 19.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
Sorotan Literatur Bersistematik: Cabaran Penggunaan Teknologi untuk Pengajaran dan Pembelajaran Matematik dalam Kalangan Pelajar dan Guru

Since the COVID-19 pandemic, the implementation of digital teaching has been used to replace existing teaching. Digital teaching, which uses an online learning medium is one of the uses of technology in teaching and learning (PdP). The implementation of digital tutoring was used at that time so that students could learn as usual. Various mediums such as Whatsapp applications, Telegram applications, social media applications (Facebook) and Google Classroom have been introduced to implement this. Therefore, the use of this medium has indirectly replaced face-to-face learning to a form of digital teaching. However, there are various challenges that teachers must face in its implementation, because it was a new norm in the country's Education system at that time. The challenges that teachers will face in implementing the process of teaching Mathematics by using online learning methods will be identified in this study. This study focuses on three main challenges in applying mathematics teaching and learning using the online medium, namely technology readiness, teacher readiness and student readiness. A total of 261 articles have gone through 4 stages in the PRISMA model, namely identification, screening, qualification and inclusion. Only thirty-one online PdP implementation studies for Mathematics subjects between the publication years 2018-2022 taken from Scopus, Web of Science (WoS) and Google Scholar are used as a reference for this study. Findings show that the challenges faced by both students and teachers are the level of technological readiness from the aspect of internet accessibility and the convenience of devices such as computers, the readiness of teachers and the readiness of students from the aspect of their knowledge and attitude in implementing mathematics teaching using the PdP medium online.
Bibliometric Analysis on Scholarly Journals of PVA Hydrogel Membrane Using VOSviewers Software

The development of technology in this world is already developing rapidly. One of the advanced technologies that support research planning is bibliometrics. This study aims to analyze the scope of research on PVA Hydrogel Membrane using VOSviewer using bibliometric review with a mapping process to ensure that the research to be carried out has never been studied and knows the relationship of each related item. The three processes underlying the search use the keywords "chemistry, particle, PVA, and Hydrogel" namely title, abstract, and keyword. The research database is taken from google scholar. A total of 98 articles are relevant and meet the criteria. The results show that most of the studies were conducted in the 2012-2022 range. PVA and Hydrogel are so closely related to each other that they have a fairly bright density visualization. Some items are not related to the PVA Hydrogel Membrane but these items are interconnected with other items so it can be concluded that there are still many items that can be used for further research.
THE EFFECTIVENESS OF QRIS PAYMENTS IN AN ISLAMIC PERSPECTIVE BASED ON PADG NO.24/1/PADG/2022

Kendari city is a religious city, this is marked by the many mosques built in every corner of the city, one of the mosques that has become an iconic place for the people of Kendari city is the al-alam mosque which was built in 2010 which features beautiful views, the al- Alam is located in the middle of the Kendari Bay sea so that it gives a different feel from other mosques in the city of Kendari, the Al-Alam Mosque is a religious tourism destination that is often visited by both local and foreign tourists. The payment system cannot be separated from the development of money, which started from cash payments to non-cash payments. Many development agencies facilitate transactions that are effective in making payments, one of which is QRIS, which is an electronic money payment application such as an electronic wallet, server based. or mobile banking that is used by users for digital money payments is different. QRIS aims to offer a lot of comfort and convenience for its users with a variety of features that are useful and have advantages that are not in doubt the safety and effectiveness of the QRIS payment system for its users.
Real time semantic segmentation network of wire harness terminals based on multiple receptive field attention

Abstract： Recently， wire harnesses are widely used.The harness terminal， an important component of a harness， requires strict quality inspection.Therefore， to improve the accuracy and efficiency of harness terminal quality detection， a real-time semantic segmentation network using multiple receptive field (MRF) attention， called MRF-UNet， is proposed in this study.First， an MRF attention module is used as the basic module for network feature extraction， improving the feature extraction and generalization abil• ities of the model.Second， feature fusion is used to effect jump connections and reduce the computational load of the model.Finally， deconvolution and convolution are used for feature decoding to reduce the net• work depth and improve the algorithm's performance.The experimental results demonstrate that the mean intersection over union， mean pixel accuracy and dice coefficient of the MRF-UNet algorithm on the har• 文章编号 1004-924X
Analisis perbandingan metode pendeteksian kecurangan keuangan menggunakan Altman Z-Score, Beneish M-Score, dan Springate

Financial statements are a reflection of the company's financial performance, which is prone to fraud. BUMN, as a company whose assets are owned by the state, will be vulnerable to fraud. Based on ICW data, there were 28 cases of BUMN corruption in 2020. Financial fraud that occurred in BUMN companies themselves came into the public spotlight, so it is necessary for the community, government, and companies to know from an early age whether the company is in good health or not. This study aims to see how the influence of the Altman z-score, the beneficial m-score, and the springate methods influence the detection of fraud tendencies that exist in companies and to see a comparison of the most appropriate methods to be used as predictors. This type of research is quantitative and uses secondary data sources. The samples used were from 16 companies for 5 years, with statistical analysis using the SmartPLS statistical application. The results of this study are the Altman z-score, Beneish m-score, and Springate methods. has a positive and insignificant effect on detecting financial fraud in state-owned companies during 2015–2020.
FACTORS AFFECTING TUBERCULOSIS (TB) PATIENT ADHERENCE TO ANTI-TUBERCULOSIS DRUG THERAPY IN SURABAYA

Tuberculosis is one of the infectious diseases that causes many deaths in the world. One of the successes in reducing the death rate due to TB is with anti-tuberculosis treatment efforts. However, adherence to treatment is a serious problem because the results are still far from what is expected. The purpose of this study was to determine the level of adherence and what factors affect TB patients in treatment during the pandemic. This research was a descriptive analysis study with a cross-sectional approach. The number of samples was as high as 261 people. The measuring instrument used was the Medication Adherence Rating Scale (MARS). The validity and reliability showed that all questions were valid with a correlation value of &gt; 0.396 and a Cronbach coefficient of 0.803. The results of the bivariate analysis showed that the factors influencing adherence to taking OAT in TB patients were age, education level, employment status, marital status, location of residence, and income level. Multiple logistic regression analysis showed the dominant factor having the most influence on compliance was the level of education. Respondents with a high school education level have a tendency to have a good compliance level of 22,077 times compared to respondents with a lower level of education.
Pengembangan Bahan Ajar Berbasis E-Book pada Mata Kuliah Manajemen Strategi

The research aims to determine the feasibility or validity of teaching materials in the form of teaching materials in the form of E-Books as a medium for student learning in strategic management courses and to determine the practicality of teaching materials developed by researchers. The research method used is Research and Development (R&amp;D) or research and development using the 4D development model consisting of define, design, develop, disseminate. The results of research and development of teaching materials in the form of E-Books are based on the assessment of material experts, media experts and linguists, namely the score obtained on the material expert aspect based on validator 1 is 87.50% and validator 2 is 85%, on the media expert aspect based on the Validator 1 is 90% and validator 2 is 80% and on the linguist aspect based on validator 1 is 85% and validator 2 is 80%. Then for the practicality of teaching materials in the form of E-Books get a score of 84.6%. From the results of this study it can be concluded that this research produces teaching materials in the form of e-books that are valid and practical. The results of the material validation reached the "Very High" category, the media expert validation achieved the "Very High" category, and the language validation achieved the "Very High" category. The practicality category is included in the "Very Practical" category. So it can be concluded that the resulting product is said to be valid and practical.
Analisis Faktor-faktor yang Mempengaruhi Minat Mahasiswa Akuntansi Universitas Mataram dalam Pemilihan Profesi sebagai Akuntan Publik

Public accounting is one of the professions that assists the public in providing information for decision making, especially with regard to finance. The purpose of this study was to determine the factors that influence the interest of accounting students to choose the public accounting profession. The factors used in this study are intrinsic value, income perception, labor market considerations, the strengths and weaknesses of the public accounting profession. The approach used is a quantitative approach to the survey method. Sampling used a convenience sampling technique of 100 Accounting students at the University of Mataram to fill out a questionnaire. Data processing in this study used SPSS 26.00 by testing multiple linear regression. Hypothesis testing uses the F test, t test and R square test. The results obtained from the F test (5.102) with a significance level of 0.001 &lt;0.05. This means that all the independent variables used in this study have an influence on the interest of Mataram University Accounting students in choosing a profession as a public accountant. The results of the t test concluded that H3 was accepted, while H1, H2, and H4 were rejected. The results of the R Square test show that the independent variables explain 14.2% of the dependent variable, while 85.8% are explained by other variables outside this research model.
Manajemen Evaluasi Diri dalam Menyusun Anggaran Menggunakan Aplikasi EDM e-RKAM pada Madrasah Sasaran Proyek (REP-MEQR)

The EDM - e-RKAM application opens opportunities for the management of BOS funds and other funds in a more transparent and accountable manner, which can be accessed in stages starting at the madrasah level, Regency/City Ministry of Religion Offices, Regional Offices of the Provincial Ministry of Religion to the level of the Indonesian Ministry of Religion. The use of the e-RKAM and EDM applications is expected to cut reporting bureaucracy. This digital transformation is a concrete effort to realize more effective, efficient, transparent and corruption-free management of the education budget. The objectives in this study are: Knowing the Implementation of Self-Evaluation management in compiling using the EDM e-RKAM Application. Application. This research is a qualitative research with a descriptive research method that was conducted with the aim of describing or describing the implementation of self-evaluation management, supporting and inhibiting factors and strategies for overcoming obstacles to the implementation of Evaluation management. Madrasah Self-Evaluation Management went through 4 stages, namely the formation of the Madrasah Development Team filling in the Self-Evaluation Instruments Madrasah, presentation of the work of the Madrasah Development Team and conclusion of the presentation of the Madrasah Development Team
Program Klinik Jurnal ; Upaya Menstimulasi Minat Tulis Mahasiswa di Perguruan Tinggi

This study aims to provide understanding and train students in stimulating students' writing interest in higher education. This research was conducted at Nurul Jadid Paiton University Probolinggo with a qualitative approach with the type of research in the field (field researcb). Data obtained from the observation process, interviews with speakers and students. In the process of data analysis, researchers carry out data collection, data reduction, data presentation, and conclusion of data findings. The results of the study showed the success of the journal clinic program in Nurul Jadid University students. The process of this activity is through training Providing continuous coaching, Understanding the structure of articles, Conducting regular practice and Providing motivation in the spirit of work. This clinic program successfully overcomes students' difficulties in stimulating writing interest. This training is able to provide a stimulus to stimulate students to love writing by holding a journal clinic program. This training has been able to improve the knowledge, skills, and motivation of students to write scientific articles.
TINGKAT RESILIENSI RUMAH TANGGA PETANI PADI SAWAH DALAM MENGHADAPI BENCANA BANJIR

The Citanduy Watershed is the key to the distribution of water to the surrounding area. Watershed functions that are not good will result in floods and droughts. Padaherang District is one of the districts affected by flooding, especially for lowland rice farming households. Repeated flooding causes farmers to have resilience. This study aims to analyze the level of resilience of farmer households to flood disasters. The method used is a mixed method with a sample size of 120 farmer households. The level of household resilience of lowland rice farmers is in the high category. This is evidenced by an unyielding attitude and a desire to change things for the better with enthusiasm and confidence.
Computer Vision based Attendance Management System for Students

Abstract: The purpose of this project is to build an attendance management system based on facial recognition features. In most educational institutions, the attendance of the students is taken manually, using an attendance sheet, by the faculty member in a classroom. The objective of this project is to minimize the time consumed in the process of monitoring the attendance of the students and to tackle the problem of proxy by almost eliminating the use of paper in the attendance taking process. Manually recorded attendance can be easily tampered with and manipulated. It is also not very easy to verify manual attendance. So, we are proposing a method that can estimate the attendance more precisely using all the results of face recognition, which are obtained by continuous observation. In this system, the enrollment of students will be a one-time process, Students may have their roll number or phone number as their unique ID, which should be unique for every student. Their images will be stored in the database. The attendance of the students will be tracked automatically for every hour. This system will overcome the problems that exist in manual or traditional attendance management systems.
A Survey on Issues and Challenges of Load Balancing Techniques in Cloud Computing Environment

Abstract: Cloud computing has transformed user services by introducing a new model that allows for pay-per-use access to information technology services at any time and from any location. Numerous businesses are moving their operations to the cloud as a result of the flexibility offered by cloud services, and additional data centers are being set up by service providers to provide users with services. However, it is essential to ensure efficient resource utilization and cost-effective task execution. Based on load balancing, task scheduling, resource management, quality of service, and workload management, several methods to improve performance and resource use have been reported in the literature. Data centers can use load balancing in the cloud to prevent virtual machines from being overloaded or under loaded, which is a problem in and of itself in cloud computing. As a result, developers and researchers must develop and implement a suitable load balancer for distributed and parallel cloud environments. In order for researchers to develop algorithms that are more effective, this survey provides a cutting-edge review of issues and obstacles associated with existing load-balancing methods.
Implementation of JSON Web Token on Authentication with HMAC SHA-256 Algorithm

The rapid growth of information technology is influenced by globalization to accelerate access to information. This creates new problems, as differences must produce relevant information. Of course, system integration will be required. Web Service is a system integration solution that does not consider the platform, architecture, or programming language used in different sources. The security of web service is considered not yet implemented. The JSON Web Token (JWT) technology is an authentication mechanism for web service and will have a significant impact on data security. This implementation optimizes JWT security with the HMAC SHA-256 algorithm. Testing is conducted on two information systems by comparing the performance size when JWT technology is applied to Tim Bebersih Masjid Information System. The results show that the implementation of JWT on Windows Server 2019 (VM) is 462.8 ms with an average data size of 8.59 kb. Testing on the Windows 10 operating system obtained an average speed of 216.25 ms with an average data size of 8.59 kb. The result on Windows Server 2019 (VM) from the JWT performance test itself obtained the highest result, due to the use of virtual machine which is considered to consume a lot of RAM, resulting in performance that is 2 times higher. Keywords: Algorithm, HMAC SHA-256, JSON Web Token, Web Service, Virtual Machine
Application of the C4.5 Algorithm to Predict the Effectiveness of Google Adwords Ads

Google Adswords is a product that you can use to promote your business, help sell products or services, raise awareness, and increase traffic to your site. Nayaka Technology is currently using the services of Google Adswords as a way to boost sales and expand the network. However, because broadcast planning was not carried out in advance, the results obtained were not satisfactory. In the next campaign, planning will be carried out first using the history on the previous campaign's broadcast reports, the data is processed using data mining techniques to predict the market. The model used is the C4.5 algorithm, the results of the C4.5 algorithm model are tested using a confusion matrix and get 92.70% of accuracy, 78.23% of precision and 97.25% of recall. Keywords: Google Adswords, Algoritma C4.5, Data Mining .