Reviewerly/exHarmony huggingface dataset:
Human Face Recognition Using Eigen Vector-Based Recognition System

Face recognition is an algorithm that can recognize or verify a query face among a large number of faces in the enrollment database. Face recognition is a crucial and difficult area of computer vision. This study demonstrates a system that can recognize a human face by comparing the facial structure to that of another individual or a well-known individual, which is accomplished by the use of frontal several summarizations. Many researchers have done their work on face recognition and also applied it by using different methods. We made use of an eigenvector-based recognition system as a method for recognizing faces. The face recognition system is highly accurate and is one of the most powerful surveillance tools ever made. But this face recognition technology is quite costly for developing countries like Bangladesh. In this study, we have used a face recognition system for our security purpose using an eigenvector-based face recognition system with the help of MATLAB software and a Raspberry Pi camera for security purposes which minimizes the cost, and this process we have used is quite affordable
Identification of authorship based on vectorization of lyrics by Anna Akhmatova and Marina Tsvetaeva with psychophysiological methods

Purposeful dialog systems can employ an authorship determinant in order to obtain a more accurate answer which addresses a specific user and takes into account his features. This article discusses the possibility of distinguishing the works of two authors based on the results of vectorization of their texts using methods that are successfully used in interdisciplinary research. 2B-PLS (Two-Block Projection to Latent Structure) has demonstrated high efficiency in analyzing the results of interdisciplinary research in neurolinguistics, psychophysiology and other fields. The study described in this article involved the lyrics by Anna Akhmatova and Marina Tsvetaeva, whose works are nowadays researched by many scholars. The author selected 310 poetic texts: 196 poems by Akhmatova, and 114, by Tsvetaeva. The parameters for the analysis were the results of text vectorization: proportions of verbs in the text, proper names, adjectives, adverbs, unique words in the text, punctuation marks, functional parts of speech and significant parts of speech, average line length, number of lines, variety of punctuation marks. The 2B-PLS analysis based on the vectorization results for the texts in question showed clear differences between the works of the two poets. The author discussed these findings with scholars of Akhmatova and Tsvetaeva. The lyrics of Akhmatova (as compared to those of Tsvetaeva) are characterized by more frequent use of verbs, adjectives, adverbs, service parts of speech, significant parts of speech, as well as more lines and more variety of punctuation marks. The lyrics of Tsvetaeva (as compared to those of Akhmatova) are characterized by longer lines and a more diverse vocabulary, as well as more frequent use of punctuation marks, nouns and proper names. The results obtained correlate with theoretical studies.
Enhancing Scalability through Extended Hybrid Switching with Mixture Path Deployment (EHS-MPD): A Novel Framework

In today's digital landscape, the exponential growth of data has created significant challenges for archiving systems. Existing solutions often struggle to cope with the ever-increasing data volumes, leading to scalability limitations, reduced efficiency, and inflexibility. To address these challenges, this research paper introduces a novel approach that extends hybrid switching with a mixture path deployment framework. By combining the benefits of hybrid switching techniques and the adaptability of the mixture path deployment framework, our proposed approach aims to enhance scalability, efficiency, and flexibility in archiving systems while minimizing the risks of data loss and system failures. This paper provides a comprehensive analysis of the design, implementation, and evaluation of our approach, highlighting its key features, benefits, and potential impact on archiving systems. We review existing archiving approaches, identifying their limitations and shortcomings. Then, we delve into the concept of hybrid switching, exploring its advantages in optimizing network performance. Additionally, we introduce the mixture path deployment framework, emphasizing its benefits in load balancing, fault tolerance, and performance improvement. The proposed approach's architecture is presented, showcasing the integration of hybrid switching techniques and the mixture path deployment framework. Strategies for efficient data placement and management are discussed, including dynamic data placement algorithms and metadata management techniques. The design and implementation of the extended archiving system are described, outlining the interactions among its components. Overall, our novel approach to archiving high scalability through extending hybrid switching with a mixture path deployment framework offers a promising solution to address the limitations of existing archiving systems. It enables improved performance, flexibility, and fault tolerance, paving the way for efficient and scalable archiving solutions in the era of big data.
Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression

Aim: In this research article, the aim is to analyze and compare the performance of Residual Neural Network and Bayesian Regression for accurate recognition of human actions. Materials and Methods: The proposed machine learning classifier model uses 80% of the UCF101 dataset for training and the remaining 20% for testing. For the SPSS analysis, the results of two classifiers are grouped with 20 samples in each group. The sample size is determined using a pretest with G-power, with a sample size of 80%, a confidence interval of 95%, and a significance level of 0.014 (p&lt;0.05). Result: The findings suggest that the novel residual neural network classifier and Bayesian regression classifier achieved accuracy rates of 95.63% and 93.97%, respectively, in identifying human activities accurately.The statistical significance value between residual neural networks and Bayesian regression has been calculated to be p=0.014 (independent sample t-test p&lt;0.05), indicating a statistically significant difference between the two classifiers.
An Efficient Approach to Detect Fraudulent Service Enrollment Websites with Novel Random Forest and Compare the Accuracy with XGBoost Machine Algorithm

Aim: The main aim of this research study is to detect fraudulent service enrollment websites using the Novel Random Forest algorithm and compare its accuracy with the XGBoost classifier algorithm. Materials and Methods: This research involved comparing two groups namely Random Forest and XGBoost. In this study, 1784 dataset samples had been utilized for statistical analysis. Dataset splits into training and testing which have 1200 of training and 584 of testing. The Gpower test was utilized with a setting parameter of 85% (α=0.05 and power=0.85) to determine the appropriate sample size. With a sample size of 10 and a confidence interval of 95%, we aimed to predict fraudulent service enrollment websites. Results: The significant value of p=0.000 (p&lt;0.05) is statistically significant for detecting fraud websites. The Novel Random Forest algorithm demonstrates higher accuracy in recognizing objects and enhancing the evaluated data, with an accuracy rate of 92.634%, compared to the XGBoost classifier which achieves an accuracy of 75.545%. Conclusion: The accuracy of Novel Random Forest is better when compared to accuracy of XGBoost classifier.
Investigating the effective strategies for teaching pronunciation

Teaching English pronunciation strategies is very important and valuable in the English language, which in our country doesn’t have any proper strategies for teaching English pronunciation to English students because of these reasons most of the students have difficulties in learning English pronunciation. And using this strategy can solve the students’ problems. It also makes it easier for the language teachers to teach English pronunciation in a successful and reasonable matter. According to Mortimer (1997), English pronunciation strategies are very important and valuable in English language. Therefore, the tittle of my research is about investigating the effective strategies for teaching pronunciation at English Department of Sarepol University. Quantitative research method is used in this research. The populations of sample of this research consist of 100 students from different class of English Department of Sarepol University. In this study 50% the research population is male and 50% of them were female. The result obtained in this research by the questioner as a survey is as follow, which are the answer to the research questions. At the end of this research some recommendations and suggestions were inserted by the students as well as by researchers to the English Department of Sarepol University. Teaching English pronunciation included the teaching curriculum of the English Department. Finally, it’s suggested that effective strategies for teaching English Pronunciation must be include in the curriculum of English Department of Education Faculty to facilitate the students’ problems in the field of English pronunciation.
Students’ Difficulties Analysis in Reading Comprehension at The Second Grade of MTs Nurul Ikhlas

Regarding the basic competence of the second grade of junior high schools in Curriculum 2013, the pupils are supposed to comprehend the generic structure, social function, and language features in reading material (narrative, descriptive, recount, and so on). However, the students still have some difficulties comprehending a text. This could be known by identifying some previous studies related to reading comprehension difficulties in Indonesia. They have problems finding the main idea and specific information in the text, making inferences, or identifying the meaning of the word. Thus, this paper tried to analyze the difficulties that the students faced when comprehending an English reading text, to determine the reasons why the students are having problems with those difficulties, and to examine how a teacher can help the students to overcome these difficulties. This research used a mixed method and was classified as descriptive research. The participants of this research consisted of second-grade students and an EFL teacher of MTs Nurul Ikhlas Ambon. Reading comprehension tests, questionnaires, and interviews were used by the researcher to collect the data. Then, the data were analyzed by using descriptive quantitative analysis; calculating the result of students’ reading comprehension test and calculating the scale of the questionnaire. Moreover, the qualitative data was done by describing the interview result. The research revealed three findings. Firstly, the difficulty faced by the students when comprehending an English reading text was identifying vocabulary. Secondly, the students completely agreed that the reading process, student background knowledge, language knowledge, and motivation were factors that influenced them to have problems with those difficulties. And lastly, the strategies that can be used by the teacher to overcome the difficulties were memorizing strategy, reciprocal teaching, question-answer relationship, and fun learning strategy.
Use of PowerPoint Media for Training Participants' Learning Motivation in Ambon Religious Education and Training Centers

This article aims to provide a description of the development of the use of powerpoint media which is related to the learning motivation of the training participants and to continue the link in a special scope at the Ambon Religious Education and Training Center. The method used is the study of literature related to powerpoint media and learning motivation. What this article wants to convey is that the study of the use of PowerPoint media in the world of training is very promising because it is very closely related to the world of training in the formation of quality human resources.
Profile Video Construction As A Means of Institutional Existence: Ambon Religious Education and Training Center

This study aims to construct a video profile of the Ambon Religious Education and Training Center which will be used as a medium to enhance the image and existence of the institution. This study uses the Multimedia Development Life Cycle (MDLC) method which consists of 6 stages, namely concept, design, material collecting, assembly, testing, and distribution. At the concept stage, goals and video outlines are determined, the design stage is by making a storyboard, the material collecting stage is by shooting and recording voice according to the storyboard, and the assembly stage is by editing all the assets that have been collected, the testing stage is by conducting video tests to leaders and partners, and the distribution stage by distributing videos via Youtube. All of these stages have succeeded in producing a multimedia product in the form of a video profile of the Ambon Religious Education and Training Center so that stakeholders and the general public can get information through video.
PERANCANGAN APLIKASI POINT OF SALE PANDITA COFFEE BERBASIS WEB DENGAN KOMBINASI MODEL SDLC WATERFALL

Technology has grown fast, especially in the field of data technology to support human activities in order to create efficiency. In the current work environment, technology is the main principal in carrying out all forms of work using existing energy sources on computers and internet networks. Point Of Sale or abbreviated (POS) can be translated as a cashier system, is a sales-oriented activity that occurs in the retail business sector. This POS is really worth it because POS is a terminal that accepts money from customers. For business owners, cash in is a simple indicator of business income. One of the website-based application systems needed on Pandita Coffee is Point Of Sale, because at Pandita Coffee the cashier system still uses the manual method. A system with a dynamic level, while the available budget and development time are very limited. Data collection methods in this study are literature study, interviews, observation, and data analysis. The design system development method used by researchers to design a Point Of Sale Application System with a waterfall model defined by Pressman is a classical model in forming software with sequential properties. The model is one-way from initial preparation to treatment. In making the Point Of Sale system, it is very helpful in business processes, especially in processing transactions, inventory, and financial reports.
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA ANAK-ANAK DENGAN METODE FORWARD CHAINING DI PUSKESMAS ARAS KABU

Typhoid is still a disease that is often suffered by people in Indonesia, especially children. But on the other hand the lack of attention from the public to this typhus disease and the lack of knowledge about the early symptoms of typhus causes the general public to be susceptible to the disease. Lack of experts to handle typhus in health centers, especially health centers located far from the city. This of course has an impact on delays in handling patients with typhoid. To overcome this problem, appropriate action is needed to diagnose typhus in these children. An expert system using the Forward Chaining method for diagnosing typhoid in children is the best solution for recognizing the symptoms of typhoid in children as early as possible, knowing the causes of the disease and how to control it. In making this system, it takes experts who are experts in the field of typhus and children to get accurate data regarding information on typhoid in children. This typhoid diagnosis expert system is designed using the web-based PHP programming language. The design of the knowledge base in this system is made dynamically to make it easier to manage data such as adding, changing and deleting data.
AUDIT TATA KELOLA TEKNOLOGI INFORMASI COBIT 5 MANAJEMEN RISIKO

Conducting Information technology governance audits, which means conducting periodic checks on a system that has been built, now many audit models are emerging, but COBIT 5 is one of the relevant governance audits to use. The development of information systems goes hand in hand with the audit system, starting from reading a possible risk that will occur and preventing these risks, then in periodic checks can build a new innovation from the audit results itself, the lack of an information system is indeed a weakness of the system running, but with the evaluation, it means that the weaknesses of the system are minimized. This study discusses how to carry out risk management in an ongoing system with the APO12 domain on COBIT 5.
IMPLEMENTASI METODE K-MEANS CLUSTERING DALAM MENGKLASTERKAN BUKU PERPUSTAKAAN DI SMK NEGERI 1 PANTAI LABU

The development of the era of globalization in the field of technology at this time, or what is often referred to as the development of the technological industrial revolution, makes technology grow rapidly from time to time. One technology that shows development is a computerized system, which does not rule out the possibility that it will always be used in human activities. (Fahmi &amp; Sianturi, 2019). The use of computers has penetrated almost all areas of human life today, such as in the field of education. Computer technology also plays an important role in helping humans to take important decisions such as making decisions in processing large data or what is now called Data Mining.The existence of books is very important, especially for students in schools at SMK Negeri 1 Pantai Labu. This research was conducted at SMK Negeri 1 Pantai Labu. However, to read and search for books in the Library of SMK Negeri 1 Pantai Labu, it is necessary to have a way to do clustering to make it easier to group books according to reading interests.
PERANCANGAN SISTEM MUTU KINERJA KARYAWAN (Studi Kasus: PDAM TIRTA Khatulistiwa Pontianak)

The Tirta Khatulistiwa PDAM Pontianak office is a piped water / clean water office in Pontianak, which is located on the Imam Bonjol street in Pontianak, West Kalimantan, is a state-owned company. in the recap system the value of employees is still using a manual system. The current system is still using the Ms.Exel application, without a database. As a result of this many obstacles faced by the PDAM in the business of recapitating employee values such as the time needed to find or enter employee values requires a long time. In this thesis the software development method using the waterfall model is used to create an information system. The results of storing the performance value and means to see the quality value of employee performance. The system consists of 2 types of users, namely admin and employee. admin manages the value of employees and employees can see the value in the input admin. With the design of this system it is expected that this system is to design the system at PDAM Tirta Khatulistiwa as a means of overcoming the problem of inputting values at PDAM Tirta Khatulistiwa Pontianak.
Optimizing the Creativity of Reflective and Impulsive Students through Writing Articles Based on Information Literacy

&lt;p style="text-align: justify;"&gt;Creativity and information literacy are skills necessary for students for task completion in the learning process. One of the tasks assigned to students in learning is to write drafts of scientific articles. Furthermore, teachers must pay attention to cognitive styles in the learning process. This study aimed to describe students' creativity in writing drafts of scientific papers based on information literacy concerning reflective and impulsive cognitive styles. This research was exploratory qualitative research to explain the creativity of reflective and impulsive students in writing scientific article drafts based on information literacy. The research subjects comprised two students for each reflective and impulsive cognitive style. The cognitive style was measured using the Matching Familiar Figure Test instrument. Students' creativity was measured using a test with fluency, flexibility, originality, and elaboration indicators. The results indicated that reflective students were highly creative in writing drafts of scientific articles. Meanwhile, impulsive students were relatively creative in the same activity. In conclusion, students possessing the reflective cognitive style are more creative than students following the impulsive cognitive style in writing drafts of scientific articles based on information literacy. We recommend that writing articles based on information literacy is required to increase HOTs (Higher Order Thinking Skills).&lt;/p&gt;
Energy Efficient in Cloud Computing

Abstract: Today, both parallel and distributing computing have became ubiquitous in the forms of clouds and cyber physical systems, The size of cloud data center is growing rapidly. The larger the data center is, the more energy it consumes. Therefore, more and more researchers focus on energy efficient resource management techniques in the data center. In which manage the load factor and cpu utilization. we consider about cloud computing, its working, its problem definition, virtual machine requirements( executing VMs with similar execution time), objectives and future development of cloud computing. This has led to immense usage of energy, power consumption, usage of e-equipment’s and so on. To overcome this, efforts and techniques are reinforced to save energy, power consumption and the usage of equipment’s to save the planet. Energy efficiency is increasingly important for future ICT. To reduce the power consumption of cloud data centers we aim to reduce the efficient usage of power consumed by IT equipments. EEICC attainable by using eco-friendly computing resources.
ANALISIS TINGKAT PENCEMARAN LINGKUNGAN PADA KOTA/KABUPATEN DI JAWA TENGAH MENGGUNAKAN METODE K-MEANS

Abstract. Mining activities can cause environmental pollution, as happened in the villages of Wadas and Kendeng, Central Java. The aim of this research is to classify the level of environmental pollution in Central Java based on a number of parameters, namely, the number of villages affected by water pollution, air pollution and soil pollution. The clustering method in this study uses the K-Means algorithm. The best cluster is 0.51 with 2 clusters. Based on the level of environmental pollution, the findings reveal that Central Java is divided into two city/district clusters: cluster 1 (with a low pollution level) with 14 members, and cluster 2 (with a low pollution level) with 24 members.