Reviewerly/exHarmony huggingface dataset:
ADAPTIVE NEURO-FUZZY INFERENCE-QOS AWARE GENETIC ALGORITHM FOR RESOURCE ALLOCATION OPTIMIZATION IN CLOUD

Cloud computing, a new and promising distributed computing technology, offers a pay-per-use foundation for large-scale scientific and business process applications.With the advancement of cloud computing, artificial intelligence, and big data, demands for cloud resources, particularly certain unclear and emergent resource demands, are fast increasing.Classical cloud resource allocation approaches do not assist the emergent mode in terms of ensuring resource allocation timeliness and optimization.The proposed method employs an Adaptive Neuro-Fuzzy Inference System Quality of Service Aware Genetic Algorithm (ANFIS-QoSGA) method for quickly determining the best VM for each job.This paper proposed an improved resource allocation optimization technique that takes into account the goals of reducing deployment costs, balancing the load, and increasing the Quality of Service performance.Cloud customers' main challenge is deciding the resources to use for the deployment of their applications without negotiating the Quality of Service requirements.The proposed algorithm takes into account 'n' Number of customers Quality of Service needs and resources allocated inside the limited cost constraints.The proposed approach's major goal is to reduce task computational time, cost, and energy consumption while maximizing meaningful resource use.Extensive studies show that the suggested method outperforms other similar scheduling techniques in terms of energy cost and has a better outcome in terms of total execution time which is reduced by 4%, 8%, and 11% when compared with RAA-PI-NSGAII, SFWOA,NSGA-III and makespan, degree of imbalance, and security value under high load conditions.
Information Hiding Method For Gray Images Using Motif Patterns

Information hiding is one of multimedia security tasks need to develop and update in Continuously. Thus, the researchers work in this field and interest in developing and improving the information hiding techniques. In this paper, a new method for develop least significant bits (LSB) method is introduced. The method includes a schema for hiding two bits of secret text in each pixel (least and penultimate bits of pixel) in gray image considering motif Z, U, N, and C patterns. The method is implemented on different standard images with size 512*512 and hide different secret text lengths. The experimental and results show the efficiency of method that hide two bits in each pixel compare with the traditional LSB method that hide one bit of data in each pixel of image. The results show that the proposed method produces a good accuracy of stego image near to the original LSB method in terms of PSNR accuracy metric.
Digital Literacy Level and English Language Proficiency of College Students in Banjarmasin to Support Independent Learning Campus in the Technological Era 4.0

In this digital era, it is essential for individuals to be literate and to be able to communicate effectively in English as the international language. Foreign language proficiency certainly requires training which the process itself cannot be achieved instantly. Since the beginning of college, students should begin to know and be trained to understand and utilize English. Therefore, it is crucial to employ English as a second language in the classroom so that students can meet the challenges of the globalization era in the future. This research aims to analyze the level of digital literacy and the distribution of students' English skills in the City of Banjarmasin in supporting the readiness of independent campuses to learn in the technology era 4.0. This research effort employs exploratory questionnaires as its methodological technique (exploratory research). The analysis was performed using simple regression. According to the finding of the research, it illustrates that the distribution of digital literacy levels and the distribution of students' English skills in Banjarmasin is almost evenly distributed.In this digital era, it is essential for individuals to be literate and to be able to communicate effectively in English as the international language. Foreign language proficiency certainly requires training which the process itself cannot be achieved instantly. Since the beginning of college, students should begin to know and be trained to understand and utilize English. Therefore, it is crucial to employ English as a second language in the classroom so that students can meet the challenges of the globalization era in the future. This research aims to analyze the level of digital literacy and the distribution of students' English skills in the City of Banjarmasin in supporting the readiness of independent campuses to learn in the technology era 4.0. This research effort employs exploratory questionnaires as its methodological technique (exploratory research). The analysis was performed using simple regression. According to the finding of the research, it illustrates that the distribution of digital literacy levels and the distribution of students' English skills in Banjarmasin is almost evenly distributed.
Handwritten Recognition System Based on Machine Learning

Background:&#x0D; Handwriting recognition is an important issue nowadays, where handwriting can be a image, document, etc., the ability of a computer to recognize handwritten numbers is very important in more than one application such as translation, reading and number recognition applications. The proposed project provides a system that recognizes handwritten English numbers, the input data being images downloaded from a global dataset. The proposed system consists of a number of stages. The first stage is the preprocessing, which includes resizing of the images to be one size (28 * 28), and then a step (data mapping) is applied. As for the classification stage, it relied on the use of two algorithms, the KNN algorithm and the neural network (error backpropagation). To start the process of training the selected algorithms, the data was divided into two sets, the training setand the test set. Two algorithms were used for the purpose of choosing the best of them, by evaluating their performance using a number of evaluation metrics. Accuracy and Precision were used for the purpose of evaluating the performance of the algorithms. The performance of the KNN algorithm was 0.94 and 0.942 respectively when k = 4. While the best performance reached by the neural network mechanism was 0.98673333 and 0.9698, respectively, at epoch = 15. The neural network (error backpropagation) is shows the best result in the recognation stage&#x0D; Materials and Methods:&#x0D; K-Nearest Neighbors (KNN) technique makes no assumptions about the basic dataset. It is recognized for its effectiveness and ease of use. It is a supervised learning algorithm. To estimate the category of the unlabeled data, a labeled training set containing data points separated into many groups is supplied.&#x0D; Results:&#x0D; The performance of the KNN model with various values for "K." Since the high value of model accuracy was "0.94", the "4" parameter value is the one that provides the best results and precision was "0.94".&#x0D; Conclusion:&#x0D; The problem of handwritten recognition needs high accuracy and precision indicators show an accurate description of the performance of the algorithms that were employed in the proposed system. The two indicators described the performance of the algorithm (KNN), which gave results (0.94 and 0.942).
A Study of the Issues and Proposed Solutions for the Operation of the Gyeonggi-Do Career Center: Focusing on the Ordinances

The purpose of this study is to identify the heads of the Gyeonggi Career Experience Support Center's perceptions of the operation of the center and to suggest policy directions for qualitative growth and performance enhancement of the center. A total of 10 participants, including 2 Gyeonggi scholars in charge of career pathways and 8 leaders of the Gyeonggi career experience support center, participated in the first Delphi test and the second and third in-depth interviews. As a result of the first Delphi survey, in-depth interviews were conducted by nomadizing them into an organization, work, qualification, training, and others. First, the organization cited the stability of status, the size of the organization of qualified employees, and the standardized center assessment index as a result of the in-depth interview. Second, the division of tasks based on significance and the usage of the Base Center were discussed since it is difficult to complete all of the tasks specified in the ordinance. Third, qualification and training refer to the expansion of qualifications and periodic training of center members. Fourth, others referred to the revision of ordinances, consulting, and establishment of a career education center. In conclusion, it was first suggested to ensure the homogeneity of the organizational structure and human resources throughout 31 career experience support centers in Gyeonggi-do. Second, it was advised that the center employees broaden their credentials and offer training to develop their skills in order to obtain expertise in accordance with the expansion of the center's activity. Lastly, a proposal was made to construct the Gyeonggi Jinro Education Center as the control tower for the administrative and financial support of 31 centers in Gyeonggi-do.
Scrutinizing Grammatical Challenges within Indonesian-developed Mobile Game: ‘Code Atma’

The use of another language can cause barriers to transferring ideas from one language to another, such as grammatical challenges. It happens when the structures for delivering information are different within languages. Grammatical challenges can also occur for Indonesian EFL users. To combat this, various media are continuously developed to assist with language learning and give exposure to the English language in use. Games are an example of excellent learning sources that provide texts, descriptions, and stories. However, games might not be developed by natives and could potentially contain errors. Yet, previous research rarely conducted grammatical error analysis on games. Therefore, this study aimed to investigate the grammatical challenges within the Code Atma game. This study used document analysis to evaluate the grammatical accuracy of the passages in Code Atma. The findings showed that there were 630 grammatical errors, with verb errors accounting for the highest percentage and incomplete sentences for the lowest. is-selection was the type with the highest number of errors, while blends were the lowest. The implications of this study are the improvement of the game’s grammatical aspect, the use of games as EFL learning sources, and the identification of grammatical errors using error analysis.
Malaysian Government Officials Induced in Public Procurement Fraud through the Lens of Fraud Diamond Analysis

Public procurement fraud by government officials has resulted in a sizeable loss of public funds, subsequently smearing a bad reputation of a local institution in the eyes of the public. The appropriate parties and the government as the trustees of public funds should tackle the presence of the propelling elements in driving government officials to engage in fraudulent behaviour. Besides, they should also ensure to eradicate, or at the least, prevent the problem from worsening. Therefore, this study attempted to determine the effect of fraud diamond analysis on public procurement fraud. Fraud Diamond is measured by perceived pressure, rationalisation, opportunity, and capability. The researchers gathered primary data through a survey using 165 questionnaires distributed to the government officials of all 27 ministries at the Federal level. Several statistical techniques such as descriptive statistics, correlation, and regression analysis were used to analyse the data from the survey. Four hypotheses were developed, and the findings showed that perceived pressure, perceived rationalisation, and perceived capability significantly influenced public procurement fraud by government officials, hence being accepted. In contrast, the perceived opportunity was rejected. This study aids academics, legislators, lawmakers, sociologists, psychologists, and those engaged in financial crime scene investigation, such as authorities and regulators, to understand the reason behind the fraudulent behaviour of fraudsters. Keywords: Capability; fraud diamond theory; opportunity; procurement fraud; pressure; rationalisation
FIXED ASSET MANAGEMENT: THE IMPACT ON FIXED ASSETS INTERNAL CONTROL IN INSTITUTIONS OF HIGHER EDUCATION (CASE STUDY: UNIVERSITY DUTA BANGSA SURAKARTA)

Implementation tridharma in institutions of higher education, increase management and service academic no can free from importance availability asset permanent in the form of means adequate infrastructure. The more develop college tall the more increase in assets still owned, so need attention in form management ordinary assets, known with term management asset. Many still consider management asset by physique only just a management tool list asset. This study aims to determine impact implementation management asset to internal control system for fixed assets at Duta Bangsa University Surakarta. The research method used in this study is a qualitative approach with a descriptive method. The data collection technique used is by means of observation and interviews in order to obtain accurate information from the source . The results of the research show that fixed asset internal control it's been going well, where factor supporter in implementation management asset through management asset already have orderly procedure, clear flowchart, adequate human resources as well as device supporter in the form of SINAPRA (System Infrastructure) integrated start from Request fixed asset, procurement fixed asset until with placement fixed asset all via SINAPRA. However implementation still less than optimal because management asset still experience gap on Step implementation procurement asset permanent because condition certain and the need improvement as well as upgrade system to match with provision and needs due to the transfer process placement asset as part from development land Universitas Duta Bangsa Surakarta.
Expert System in Determining Disorders of Children with Special Needs at SLBN 1 Bengkulu City Using the Certainty Factor Method

Bengkulu City 1 Special Special School (SLB) is one of the special schools in Bengkulu City which provides educational facilities ranging from SD, SMP and SMK. Children with special needs at SLB Negeri 1 Bengkulu City are divided into 5 types, namely the Blind, Deaf, Moderately Disabled, Mildly Disabled and Physically Disabled. Students who have just registered at SLB Negeri 1 Bengkulu City are identified with the characteristics of the child to find out the type of disorder in children with special needs. However, in practice this is more difficult than determining the type of normal student disorder in general. This is because each type of child with special needs has some of the same characteristics, so it takes quite a long time. The expert system application at SLB Negeri 1 Bengkulu City was created to assist the school in knowing and determining disorders of children with special needs based on the characteristics experienced by students. The expert system application has been applied to the Certainty Factor Method which is used to obtain the percentage level of certainty for the disorder of the child with special needs. An expert system application for determining disorders of children with special needs at SLB Negeri 1 Bengkulu City is made using the Visual Basic.Net programming language. Based on the results of the tests that have been carried out, the functionality of the expert system application in determining disorders of children with special needs at SLB Negeri 1 Bengkulu City is running well as expected and can provide information on the results of consultations to determine disorders of children with special needs.
Design and Build Online Store Website at Toko Mas Djanoko

Sources of information and media for communication are incredibly simple for us to obtain and use in the development of technology in the era of digital transformation as it is today. The internet is one example of how quickly information and communication technology has advanced. There is little doubt that this has a significant impact on many areas, including the business sector. Businesses can expand quickly in their ability to perform trading activities thanks to technology improvements. Even though technology has evolved and changed, many firms are still unable to keep up with new developments. Toko Mas Djanoko is one illustration. This jewelry store continues to sell its goods using traditional strategies. Toko Mas Djanoko is undoubtedly not benefiting from this too much. By developing a store website that is connected to the marketplace, this study aims to offer Toko Mas Djanoko a solution for marketing and introducing their items. It is intended that this website would make Toko Mas Djanoko more successful at selling their goods. adopting the System Development Life Cycle (SDLC) approach to system development. The study's findings show that Toko Mas Djanoko's items may be successfully and widely marketed thanks to the website system that was developed.
PELUANG BISNIS PADA PENERAPAN INDUSTRIAL INTERNET OF THING (IIoT)

This research was conducted using qualitative methods and exploratory literature review, where after a number of journal references were collected, a theoretical study, research results and discussion of this literature review article were carried out in the Industrial Internet of Things (IIoT) concentration. This research presents the results of a study of business opportunities from the use of the Industrial Internet of Things (IIoT). IoT can be implemented in various fields of the modern economy, for example: health, environment, defence, quality control, transportation, logistics, clean water, building / construction, industrial production / manufacturing, energy sources, agriculture and plantations. By utilizing IIoT, companies can benefit from technology investments made from saving operational costs and increasing company revenue. The suggestions for this research include the need to develop the implementation of IIoT in various fields so that it is more effective, efficient and provides convenience to companies. Future research needs to analyze opportunities, challenges and directions for future research work related to IIoT regarding the benefits of using IIoT technology including real-time, coexistence, interoperability, optimal security and privacy.
Network-Based Text Message Security System Using the Data Encryption Standard (DES) Algorithm

UPT. Puskom as practicum manager has the responsibility to provide facilities including applications needed for each course. In this research, the development of a network-based text security system was carried out by implementing one of the cryptographic algorithms that had been packaged into an application so that students could find out the encryption and decryption processes of the Cryptographic algorithm, namely the Data Encryption Standard (DES) Algorithm. A network-based text message security system using the Data Encryption Standard (DES) Algorithm was built using the Visual Basic .Net Programming Language and SQL Server database. The security system built can help keep messages sent secret from the sender to the recipient of the message through the DES algorithm. The encryption process can be carried out by the user who will send a text message to the intended user, who can open the encryption form and select the intended user, the encrypted message will be stored in the database. Meanwhile, decryption can be done by users who receive text messages by opening the decryption form and displaying the messages sent by the message sender. Based on the tests that have been carried out, it can be concluded that the application is capable of encrypting and decrypting text messages using the DES algorithm.
Comparative Analysis of the Blowfish Algorithm and the Des Algorithm in the Document File Encryption and Decryption Process

Security issues are one of the most important aspects in the world of information technology, such as document security. Most of the documents are created through the Microsoft Office application package, because it is easy to use. There are several applications available in Microsoft Office, namely Microsoft Word, Microsoft Excel, Microsoft Access, Microsoft Powerpoint, and others that are used to process words and numbers according to user needs. Comparative analysis of the Blowfish algorithm and the DES algorithm in the encryption process is carried out based on 3 comparison aspects, namely processing time, file size and memory used. Comparisons were made with 40 test data in the form of document files, each consisting of 10 test data with extension formats *.docx, *.xlsx, *.pdf, and *.pptx, where these formats are familiar in data processing using Microsoft Office. Based on the tests that have been carried out, it can be concluded that in the encryption process, the DES Algorithm has a faster time than the Blowfish Algorithm with a percentage of the DES Algorithm's encryption processing time of 3.7975%. In the decryption process, the DES Algorithm has a faster time compared to the Blowfish Algorithm with a percentage of the DES Algorithm's encryption processing time of 3.595%. In the encryption process, the file size in the DES Algorithm increases bytes less than the file size in the Blowfish Algorithm. In the decryption process, the file size in the DES Algorithm and the Blowfish Algorithm does not change, because the file size returns to the original file size. In the encryption process, the DES Algorithm uses less memory compared to the Blowfish Algorithm with the percentage of memory used by the DES Algorithm being 49.655%. In the decryption process, the Blowfish Algorithm uses less memory compared to the DES Algorithm with the percentage of memory used by the Blowfish Algorithm 49.5925%
Improving Students’ Vocabulary Retention by Local Culture-Based Material

The objective of the study is to find out how the local culture-based material is being implemented in the class as well as the effect of implementing local culture-based material in improving the rural coastal area of Riau students’ vocabulary retention. This study was conducted using Classroom Action Research (CAR) method which utilized four phases according to Kemmis and McTaggart model which included planning, action, observation, and reflection. The subject of the study was 27 students from a second-grade classroom in Sains Tahfizh Islamic Center Siak Elementary School. For the data analysis, the researcher used interview guidelines, observation checklists, field notes, and tests to gain the data. The findings discovered that the implementation of local culture-based material successfully improved students’ vocabulary retention based on all of the subject's scores that reached the minimum criteria standard of 80 in the last post-test compared to the pre-test where a lot of students did not reach the minimum standard of criteria. The study also found that the implementation of local culture-based material brought positive impacts on students’ behavior in the classroom. It developed students’ enthusiasm in learning, increased students’ motivation in vocabulary learning, and improved students’ engagement during the learning activity. This study contributed on finding the impact of local culture-based material which benefited the teachers especially in the rural coastal area of Riau, students, and also future researchers.