Reviewerly/exHarmony huggingface dataset:
QUANTITATIVE EVALUATION OF WIENER'S IMAGE FILTERING

When processing and transmitting information on the image, the problem of reducing their distortion due to various noises is relevant. Noise reduces the quality of the image and, accordingly, the perception of the information contained in it. This, in particular, reduces the ability to evaluate the information that can be obtained as a result of analysis using both visual and computer methods. The procedure of reducing noise in images is handled by an area of image processing called restoration. Despite the intersection of this area with image enhancement, it should be noted that the latter is more of a subjective procedure, while the restoration process is objective. During restoration, an attempt is made to reconstruct or reproduce the distorted image, using a prior information about the occurrence that caused its deterioration. Restoration methods are based on the modeling of distortion processes and the use of reverse procedures to restore the original image. In this work, a method of quantitative assessment of restoration of distorted images using Wiener filters is advanced. It consists in obtaining histograms of distorted images and their extrapolation with a Gaussian curve, followed by determination of the value of the mean-square deviation. A similar procedure is carried out for the restored image. It is proposed to carry out a quantitative assessment of the degree of restoration using the parameter R, which determines the relative narrowing of the histogram of the restored image in relation to the distorted one. Such estimates were made for the Wiener filter. Also, for comparison, the median filter and its combined effect with the Wiener filter were used. The best result was obtained with the sequential action of the Wiener and median filters, which was confirmed both by the maximum value of the R parameter and by visual observations. The analysis was performed in the Python programming language using the Pillow and OpenCV image libraries. Keywords : image restoration, Gaussian noise, Wiener filter, median filter, image restoration parameter, Python.
Strategies for Enhancing Students' General Literacy in University English Major Teaching under the New Liberal Arts Context

This article addresses the cultivation of students' general literacy in university English major teaching under the backdrop of the new liberal arts context. Starting from the importance, current status, and future prospects, the article presents a series of strategies. In the context of the development of the new liberal arts, students' general literacy plays a pivotal role in fostering comprehensive qualities. It demands that students not only master specialized knowledge but also acquire fundamental knowledge from various disciplines and possess the ability to apply knowledge to problem-solving. However, there are still deficiencies in students' general literacy in current university English major teaching. In response to these issues, this article proposes corresponding strategies. Additionally, future trends, including the assistance of artificial intelligence, are expected to have a positive impact on enhancing students' general literacy.
Exploration of the Characteristic Vocational Education Curriculum System in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Industrial Demand

As a nationally strategic development area, the Guangdong-Hong Kong-Macao Greater Bay Area has become a focus of national attention. With the continuous progress of regional integration, various industries in the area are developing rapidly. At the same time, higher education in the region is also undergoing rapid development, and vocational education plays an important role in it. Therefore, how to construct a vocational education curriculum system that meets the needs of industries is one of the key issues in the development of vocational education in the Guangdong-Hong Kong-Macao Greater Bay Area. This paper explores the construction of a characteristic vocational education curriculum system in the area based on industrial demand, aiming to provide effective ideas and references for the development of vocational education in the region.
The Role of Fuzzy Logic in Artificial Intelligence and Smart Applications

Artificial Intelligence (AI) is the process of making machines to think and to do tasks like humans. It includes advanced technologies that make machines more intelligent and capable of performing tasks more efficiently and reliable. There is a variety of AI techniques including machine learning, artificial neural networks, deep learning, knowledge representation and reasoning techniques. An AI technique is Fuzzy Logic, which allows reasoning in cases where there is uncertainty, vagueness, imprecision and/or subjectivity. Fuzzy logic is used in smart applications and systems to make them more intelligent and allow them to reason and behave in a human-like way. Furthermore, in many circumstances fuzzy logic is combined with other AI techniques, like clustering methods, deep learning or artificial neural networks, to create more robust, reliable, effective and adaptable systems. Regarding the above, in this chapter, several fields of fuzzy logic-based software applications and the role of fuzzy logic in them are presented. Also, fuzzy c-means clustering algorithm and adaptive neuro fuzzy inference system technique are described.
Comparative Discussion

Fuzzy logic is an artificial intelligence technique that allows reasoning in cases of uncertain, vague, and subjective data. It is a powerful tool, which provides a flexible, intuitive, and human-like reasoning way. It has application in various fields, like control systems, expert systems, decision-making systems, medical systems, navigation systems, image processing, security systems etc. In this chapter, a comparative discussion concerning the application of fuzzy logic in software systems in several fields is presented. Also, we examine and compare several fuzzy logic-based techniques, which are preferred to be used in fuzzy logic-based software systems.
Two classes of optimal ternary cyclic codes with minimum distance four

Cyclic codes are a subclass of linear codes and have applications in consumer electronics, data storage systems, and communication systems as they have efficient encoding and decoding algorithms. Let C(t,e) denote the cyclic code with two nonzero αt and αe, where α is a generator of 𝔽*3m. In this letter, we investigate the ternary cyclic codes with parameters [3m-1, 3m-1-2m, 4] based on some results proposed by Ding and Helleseth in 2013. Two new classes of optimal ternary cyclic codes C(t,e) are presented by choosing the proper t and e and determining the solutions of certain equations over 𝔽3m.
Visiting Taman Ayun Temple, a Bali’s Subak Heritage Temple in Mengwi

Subak temple serves as a socio-religious adhesive for agrarian society in carrying out its function as a member of this ancient system. One of the temples with an important function for an agrarian society in the Mengwi area, Badung, is the Taman Ayun Temple. Together with the Ulun Danu Batur Temple, these two holy places have a religious function for the Subak Pakerisan and Subak Catur Angga Batukaru areas. The two areas consist of five broad rice fields with a water distribution area that reaches 19,500 ha. In 1634, Taman Ayun Temple was constructed by order of Mengwi Kingdom, I Gusti Agung Putu after he moved the location of His kingdom from Belayu to Mengwi. Serving as the Paibon Temple for the Mengwi kingdom Royal Family, the Taman Ayun temple was magnificently built as a form of devotion to the royal ancestors. Later on, this temple developed as a Penyawangan for several large temples in Bali, which in the past could not be accessed in a day by the Mengwi people. Taman Ayun Temple also acts as a place to regulate water for the activities of the Subak community around the site. After UNESCO recognized Taman Ayun Temple as part of the manifestation of the Tri Hita Karana philosophy in 2012, the number of visits to Taman Ayun Temple increased significantly. Even though it has become a tourist-visit destination, visitors must obey several things when visiting this cultural heritage site. Apart from that, there are various interesting destinations around Taman Ayun Temple which are also worth visiting by tourists to know more deeply about the culture-based life adopted by the Balinese people.
An Analysis of Watershed Approach with Distance Transform and Laplacian of Gaussian Operator in Regard to Evaluating Medical Images

The target of doing image segmentation basically to modify and simplification of an image representation into more meaningful and informative way so that image could be analyses in an appropriately. For the area of clinical image analysis which is very vital area of human life the segmentation of images importantly needed to process the image. This paper focused on a very effective and useful morphological approach to segment the clinical image based on LoG (Laplacian of Gaussian), gradient of image and watershed approach with distance transform to detect edge of human x-ray images.
Spam Email Detection Using Convolutional Neural Networks: An Empirical Study

Abstract: This study leverages Convolutional Neural Networks (CNNs); a state-of-the-art deep learning architecture primarily used in image analysis, and adapts it for the detection of phishing emails. By treating email content as multi-dimensional data, we employ CNNs to extract meaningful features and patterns from email headers, text, and attachments. Our approach not only identifies known phishing templates but also has the capability to detect emerging and zero-day phishing attacks
PERANCANGAN USER INTERFACE DAN USER EXPERIENCE APLIKASI KEPEGAWAIAN BERBASIS MOBILE PADA J&amp;T EXPRESS DENGAN METODE HUMAN CENTERED DESAIN

Human resources are a valuable asset for every company. Human resources can help create a positive work culture, increase productivity, increase employee satisfaction, and support company growth and innovation. The J&amp;T company is an 8-year-old shipping and logistics service company in Indonesia. Of course, employees have a lot of hope, especially in terms of welfare and transparency in the staffing system. Because this system is not yet computerized, it results in data recording errors, such as typing wrong numbers, ignoring data entry, or changing the position of numbers. Errors like this can cause inaccuracies in recorded data such as attendance, recording of overtime and others which result in recording errors in calculating employee salaries that are not appropriate. Therefore it is necessary to design a user interface and user experience to develop the application. The method used by researchers is the Human Centered Design method, which is an approach in which the system focuses on all forms of activities carried out by users and can identify what the user's needs are. This research is expected to create a solution by developing the needs of system users and creating a more modern and user friendly appearance when used by users.
ANALISIS SENTIMEN UNTUK MEMPREDIKSI HASIL CALON PEMILU PRESIDEN MENGGUNAKAN LEXICON BASED DAN RANDOM FOREST

The Presidential Election is one of the crucial moments in Indonesian politics. To predict the election results, sentiment analysis methods can be used to evaluate public opinions through social media. One of the popular social media platforms nowadays is Twitter. As the Republic of Indonesia's Presidential Election approaches, there is an increasing number of tweets discussing the event. This situation creates a favorable opportunity to conduct sentiment analysis on the election campaign topic. There are various opinions from Twitter users with positive, neutral, and negative sentiments. The collected tweet data undergoes preprocessing, involving two main processes: cleaning and stemming. Therefore, sentiment analysis is necessary to understand the public's tendencies towards the election. The objective of this research is to obtain sentiment analysis of the text documents to determine positive or negative sentiments. Two methods, namely Random Forest and Lexion Based, are used to predict the presidential candidates' sentiments. Random Forest is employed to analyze sentiments in text data collected from various sources, including social media, news websites, and online forums. This method involves an ensemble of decision trees working collectively to classify sentiments as positive, negative, or neutral towards the Presidential Election candidates. On the other hand, Lexion Based is used to associate words in the text with specific sentiments.
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK BERBASIS JOYFUL LEARNING PADA MATERI MEMBILANG DAN OPERASI HITUNG KELAS 1 MI/SD

This research is motivated by the views of many students who consider learning Mathematics difficult and unpleasant. It is also motivated by the characteristics of MI/SD students who like to play, move, group activities, and like experience or demonstrate or try to do something directly. As well as changes in the curriculum to an independent curriculum and technological advances. From these things, the researcher wants to develop teaching materials that aim to produce independent curriculum teaching materials based on joyful learning to create enjoyable Mathematics learning for students which is also equipped with activities using technology. The teaching material developed is in the form of student worksheets based on joyful learning on material for numeration and arithmetic operations for class 1 MI/SD. The development method used is the Hannafin and Peck model which includes three stages, namely the needs analysis stage, design stage, development, and implementation stage. The development of LKPD is carried out by providing play and practice activities with concrete objects; songs and videos; practice questions in the form of games such as word search, crossword, and puzzles; and several website-based interactive games and quizzes from "Wordwall" which are included in the form of a QR code. Researchers also completed a package of LKPD with bags containing concrete objects.
ACCOUNTING AND AUDITING WITH BLOCK CHAIN TECHNOLOGY AND ARTIFICIAL INTELLIGENCE – AN EMPIRICAL STUDY

This paper reviews published research on how blockchain technology can affect accounting and AI-enabled auditing, focusing on the characteristics of blockchain data such as immutability, append-only, shared, verified, and agreed-upon. The study identifies four subjects related to how blockchain has changed record-keeping in accounting, including event-based accounting, real- time data collection, accounting with three entries, and ongoing auditing. The findings suggest that blockchain can reduce information asymmetry and enhance stakeholder collaboration, but caution businesses about the challenges of adoption. The paper recommends future research to improve business practices and encourage collaboration among stakeholders to create suitable blockchain ecosystems for accounting and auditing in the digital age.
Trends and Challenges in Class Formats for Japanese Language Education in Korea: Moving Towards Online Education and Enhancing its QualityTrends and Challenges in Class Formats for Japanese Language Education in Korea : Moving Towards Online Education and Enhancing its Quality

This study examines recent trends in the practices of Japanese language education and research in Korea before and after the COVID-19 pandemic (2017-2022), focusing on the changes in class formats. The results reveal a significant shift that began with the full implementation of online classes in 2020. This shift is characterized by a reduction in the types of (1) ICT-based face-to-face classes and (2) blended face-to-face classes, coupled with an increase in (3) on-demand online classes, (4) real-time online classes, (5) blended online classes, and (6) HyFlex classes. These findings demonstrate a noticeable transition from traditional face-to-face classes to online or hybrid (a combination of face-to-face and online) classes, and this trend is expected to persist. Given the current scarcity of discussions concerning the enhancement of quality within the context of online education, this paper presents specific examples of evaluation criteria and standards that can serve as valuable tools for enhancing the quality of classes. Furthermore, the paper suggests ways in which these criteria could be applied and it explores their effects and implications. Subsequently, the study will explore how the evaluation criteria and benchmarks can be employed as a framework for monitoring and assessing the design and practice of online or hybrid classes, and how these could contribute to an enhancement in the quality of education.
Penerapan Akuntansi Lingkungan pada Industri Tempe Sanan Malang

The issue of environmental pollution continues to be everyone’s concern and arises as a result of the production process of a company or industry, so companies are expected to apply environmental accounting as a form of concern for the environment, which will provide benefits to users and society. Industries and companies are required to be able to protect their environment, not only to take advantage of it. The goal of this research is to discover how the use of environmental accounting serves as a form of effort in preventing waste pollution in the Tempe Industry Sanan Malang. The approaches and data collection techniques used in this study were a qualitative interpretive approach and direct interviews with the head of the waste management section and the accounting department related to the waste management costs incurred. The data used in this research comes from intervew documentation. The results of the study show that the Tempe Industry Sanan Malang has carried out its waste management well, as evidenced by the results of waste management in several innovative products to lift the economy of the surronding community as well as maintain business continuity in the midst of increasingly fierce competition. In addition, the Tempe Industry Sanan Malang has indirectly implemented environmental accounting, but not in its entirety. The industry has incurred costs related to waste management, such as the cost of recycling waste, the cost of purchasing the epidermis, the cost of milling, labor costs, etc. But there is still no separate bokkeeping; the industry sometimes only records the cost incurred, and only in a simple way. With this researc, it is hoped that the Tempe Industry Sanan Malang will implement environmental accounting even better.
Law Enforcement in Revealing Fraud Crime Cases via Internet Media

This research aims to assess how investigation and law enforcement are used to uncover cases of fraud committed via electronic media. This research was conducted at the Depok Metro Police. This research applies qualitative methods in its process with a focus on empirical research. Data collection was carried out through primary data sources and secondary data. Primary data was collected through interviews with investigators, while secondary information was obtained through the use of books and scientific publications. journals. The research results show that investigators at the Depok Metro Police face several obstacles in tracking fraud perpetrators via electronic media. These obstacles include difficulties in tracking criminals because they often use fake identities, obstacles in accessing perpetrators' account identity information because of the bank's bureaucratic process which takes quite a long time, as well as the lack of a special unit that handles fraud cases using electronic media and a lack of adequate equipment. to carry out searches for criminals using electronic media.
Pengembangan Media Pembelajaran Matematika Interaktif Berupa Aplikasi Android Menggunakan Kodular Pada Materi Relasi dan Fungsi Untuk Siswa Kelas VIII SMP

This development research was motivated by: (1) The use of IT-based math learning media at SMPN 3 Ulakan Tapakis has not been varied. (2) Students look less active during the learning process. (3) There is a potential, where the widespread use of smartphones among students is caused by the distance learning process, but so far there are still schools that have not utilized this potential for learning facilities at school. (4) Based on the results of the analysis of the mathematics UAS scores of class VIII SMPN 3 Ulakan Tapakis, the highest percentage of students answering incorrectly is in the number of questions about relations and functions. (5) One website for creating android applications without the need to understand programming languages is Kodular. The purpose of this study was to produce interactive mathematics learning media in the form of android applications using Kodular on relation and function material that is valid and practical for grade VIII junior high school students. The development procedure refers to Luther Sutopo's multimedia development model which researchers modified into 5 stages, namely the concept stage, design, material collection, manufacture and trial stage. Based on the validity test and practicality test that has been carried out, the overall validity value is 91.67% with very valid criteria, and the practicality value is 98.7% with very practical criteria. So it can be concluded that this interactive math learning media on relation and function material is valid and practical as a math learning media.
Analisis Perbandingan dan Faktor-Faktor Yang Mempengaruhi Kinerja Akademik Mahasiswa UPBJJ-UT Bengkulu

This research aims to compare the factors that influence students' academic achievement in learning assistance services (TUWEB, TUTON, TMK) at UPBJJ-UT Bengkulu. This research used a descriptive method with a quantitative approach. The total population in this study was 11,854 people, with a sample of 1185 respondents. The research instrument used was a questionnaire with the data analysis technique for this research using multiple linear regression analysis. The results of this research showed that the overall cumulative achievement index of respondents had the highest average GPA obtained by TUWEB service users, namely 3.56, and the lowest was the average GPA of TMK service users was 3.21, while the average GPA of TUTON learning assistance service users was 3.40. The variables of learning motivation, learning assistance, and learning media influence the Grade Point Average (GPA). Meanwhile, the independent variables that do not partially affect the Grade Point Average (GPA) were age, marital status, employment status, participation in academic service assistance, level of perception towards UT, and the independent learning system and network quality.
Contemporary Resource Management: Adaptive, Innovative, Participatory, and Interactive Strategies for Dealing With Unexpected Crises

Unexpected challenges and crises can arise at any time and affect various aspects of life. Such crises require quick, appropriate and innovative responses from the parties involved. This research aims to identify and analyze the adaptive, innovative, participatory, and interactive strategies used in dealing with unexpected crises. This research uses qualitative research methods. The data collection technique was carried out by literature study obtained through Google Schoolar. The data obtained were then analyzed through three stages, namely data reduction, data presentation, and conclusion drawing. The results showed that there are several adaptive, innovative, participatory and interactive strategies that can be used to deal with unexpected crises, including forming an emergency response team consisting of various elements of the community, conducting effective communication and coordination with the community, using information technology to disseminate information and coordinate crisis management activities, developing an early warning system to anticipate the occurrence of a crisis and increasing the capacity of the community to deal with crises