Reviewerly/exHarmony huggingface dataset:
Fatigue Life Analysis of FSO Mooring Chain by Considering the Effects of Offloading Load

mooring chains are critical components in the maritime industry used to secure ships and floating oil and gas platforms such as FSOs to stay in their designated positions. The loads exerted on mooring chains during routine operations and additional loads during offloading operations can cause structural fatigue. Therefore, fatigue life analysis of mooring chains is essential to ensure safety and optimal performance. This study aims to conduct fatigue analysis of mooring chains by considering an important factor, namely the influence of offloading. Offloading load refers to the additional load exerted on the mooring chain during loading and unloading operations. The mooring system configuration uses a spread mooring system of 8 chains (4x2), 87 mm in diameter, with 20% pretension. In the fatigue analysis, the "Palmgren-Miner" method was used to evaluate the accumulated damage caused by cyclic loads. Then, the "Rainflow Counting" method is used to identify and count the number of load cycles that occur so that later the fatigue life can be calculated and known. From the research results, it was found that the mooring system configuration design still meets the safety factor requirements recommended by API RP 2 SK both during SLS, ULS, and FLS analysis. In SLS and ULS conditions, the greatest tension value is when the FSO is in the Ballast load condition, with the maximum value of tension that occurs is 2207.4 kN in SLS conditions, and 4151.6 kN in extreme conditions. In the FLS condition analysis, it was found that with an offloading frequency of 24 times per year (1271.89 hours), in the design configuration, the influence of the offloading system can increase up to 7% of the fatigue damage that occurs, and the lowest fatigue life, reduced by 3 years. The least fatigue life occurs in Chain 1.2 at the splash zone segment, which is 67 years.
Functional formation of a neuromorphic reservoir computational element based on a memristive metamaterial

A neural network structure is designed based on the ability of a certain class of calculators to recombine internal resources in order to produce neuromorphic elements to solve applied problems. This approach is rooted in a composite material with controlled local conductivity to form volumetric inhomogeneities capable of responding to and influencing external electrostatic effects. Such compounds aggregate into stable clusters suitable for modelling the processes that occur during information processing in natural neuronal entities. The use of conductive transitions between substrate-formed neuromorphic clusters as a learning structure makes it possible to increase the reliability of the neural network system. Long-term, non-volatile storage of information about the elements of the training sample in variable structures is possible. The basic approach to information conversion is to manage the electrostatic influence as it passes through the layered structures formed. The response to the input is not formed by propagating the signal through conductive elements with variable conductivity, but by passing the energy impact through a limited volume of metamaterial. Thus, a massively parallel processing of information can be achieved with the implementation of a mechanism for combining the opinions of independent neural network clusters that influence the final decision. Furthermore, this method of spreading effects in such an environment greatly simplifies the process of adding elements to the neural network. The lack of direct electrical interconnection facilitates the easy addition of new computational elements without significant rearrangement of the conductive media. Networks of this type are capable of significant growth without loss of experience. The input conversion process using modified delta coding prevents premature wear and tear on reconfigurable network elements. The manner in which information is presented and the manner in which neural network computing is organised enabled the creation of limited autonomous oscillations within the volume of the calculator to maintain circulating memory and the ability to gradually accumulate network experience for its subsequent recording in configurable elements. The identified features resulted in the application of this kind of calculators in the task of developing radio frequency management plans for the organisation of stable communication in a complex electromagnetic environment.
A Study on the Application of Deep Learning-based Media Tampering Detection Technology in Higher Education Teaching Resource Protection

With the rapid development of digital technology, the problem of media tampering has become increasingly serious, and higher education teaching resources are facing a crisis from image tampering and sound tampering to video tampering and even deep forgery, which brings great challenges to education work. Through deep learning, tampering can be automatically detected and self-learning and optimized in the process of detection, so that it can remain efficient and accurate in the face of new tampering techniques. The purpose of this paper is to discuss in detail the application of deep learning in media tampering detection and to explore its application in the protection of higher education teaching resources.
Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft

This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method. The sentiment analysis process involves several stages, including B. Collecting and preprocessing data, calculating term weights using inverse term frequencies and document frequencies, and classifying data using multi-layer perceptrons. Additionally, the study visually represents Twitter's sentiment analysis results on the omnibus method. These visualizations include word cloud, top accounts, tweet frequency, hashtags, and sentiment. Three scenarios were considered to perform the classification experiments. Scenario 1 used 700 training data, scenario 2 used 800, and Scenario 3 used 900 training data. The findings show that the Term Frequency Inverse Document Frequency algorithm and the multi-layer perceptron method are adequate for sentiment analysis, with Scenario 3 yielding the highest accuracy rate of 88%.
Usaha Meningkatkan Hasil Belajar Bahasa Inggris Aspek Kemampuan Membaca melalui Model Pembelajaran Role Playing Siswa Kelas VII SMP Negeri 21 Mataram

The purpose of this study was to determine the improvement in English learning outcomes in the aspect of reading ability through the Role Playing learning model for Class VII students of SMP Negeri 21 Mataram in the 2022/2023 Academic Year. The subjects of this study were 32 grade VII students of SMP Negeri 21 Mataram, consisting of 15 female students and 17 male students. The stages of this research include: (1) planning, (2) implementing actions, (3) observing, and (4) reflecting in each cycle. The results showed that the data on student learning outcomes in learning English experienced an increase from the initial data obtained 62.50%, increased to 81.25% in cycle I, and to 100% in cycle II. So student learning outcomes in English learning conducted by the teacher are very good. Learning planning, there was an increase from 70.00% in cycle I and increased to 85.00% in cycle II. So the lesson planning carried out by the teacher is very good. While the implementation of learning carried out by the teacher also experienced an increase from 75.00% in cycle I to 87.50% in cycle II. So the implementation of learning carried out by the teacher is also very good. Student learning activities increased in cycle I by 67.86%, and became 85.71% in cycle II. Based on the results of the research analysis as explained above, the action hypothesis which states that "Using the Role Playing learning model can improve English learning outcomes", can be accepted.
Virtual Tour Design and Implementation Kiara Artha Park Bandung Tourism Location

Based on the observations made of Kiara Artha Park Bandung, it is known that no interactive media can introduce the description of the situation and environment in Kiara Artha Park to outsiders. When there are restrictions on visit policies due to lockdown, tourists or the public cannot directly visit the location. One of the alternative solutions above is to build a Virtual Tour model that can provide an overview of Kiara Artha Park if tourists need help to come directly to the location. The research method used is the MDLC (Multimedia Development Life Cycle) method, suitable for designing and developing a multimedia-based application that combines elements such as images, sound, video, animation, and others. Tools used for image media are GoPro Max 360 cameras, and the application used is Quik with photo processing using 3Sixty. The result of the construction of this Virtual Tour is to map and describe the overall condition of Kiara Artha Park with 360-degree image media. The development of the structure of this Virtual Tour is to map and describe the general requirement of Kiara Artha Park with 360-degree image media.
Upaya Meningkatkan Hasil Belajar Matematika melalui Penerapan Metode Pemberian Tugas Siswa Kelas III SD Negeri 46 Cakranegara

The objectives to be achieved in this research are: to find out the increase in Mathematics learning outcomes by implementing the method of giving assignments to Class III Students of SD Negeri 46 Cakranegara in the Academic Year 2022/2023. This research consists of three cycles. The data collection instruments in this study were teacher performance observation sheets, student activity, and evaluation questions at the end of each cycle. Based on the results of the research and discussion, it can be concluded that the learning outcomes of students III at SD Negeri 46 Cakranegara in the 2022/2023 school year, with the assignment method can be improved with the final results of the study being the class average value in the initial conditions of 69.95 or classical completeness of 65.85 %, to 74.07 or 75.61% classical completeness in cycle I, increased to an average of 78.44 or 82.93% in cycle II and increased to an average test of 86.20 or 95.12% in cycle III. From the results of student observations it was shown that there was an increase in student activity in cycle I obtained a score of 19 or 67.86% to 21 or 75.00% in cycle II and 25 or 89.29% in cycle III. The increase in student activity in learning Mathematics is supported by the increase in teacher activity in maintaining and improving the learning atmosphere using the assignment method, this can be seen from the observations of teacher activities where in cycle I a score of 25 or 69.44% was obtained, becoming 27 or 75, 00% in cycle II and increased to 32 or 88.89% in cycle III.
Penggunaan Model Quantum Learning untuk Meningkatkan Hasil Belajar Bahasa Indonesia Siswa Kelas VI SD Negeri 46 Cakranegara

The purpose of this study was to find out: To find out that the Quantum Learning model can improve the quality of the listening learning process for class VI students of SD Negeri 46 Cakranegara Odd Semester in the 2022/2023 Academic Year. To find out the Quantum Learning model can improve the quality of listening learning outcomes for class VI students of SD Negeri 46 Cakranegara Odd Semester for the 2022/2023 Academic Year. This research consists of three cycles. The data collection instruments in this study were teacher performance observation sheets, student activity, and evaluation questions at the end of each cycle. Based on the results of the research and discussion, it can be concluded that the use of the quantum learning model with perfected actions in each cycle is proven to be able to improve the quality of the learning process. Improving the quality of this learning process can be seen from the percentage of interest and motivation as well as the activeness of students who have increased from each cycle. In the last cycle that was carried out, namely the third cycle, it was obtained data that students with high interest and motivation were as much as 85.00%. Active students as much as 87.50%. The learning process is said to be of high quality because each indicator reaches a percentage of 85% or more. There is an increase in the quality of Indonesian learning outcomes using the quantum learning model. Improving the learning process causes an increase in the quality of learning outcomes achieved by students. The quality of these results can be seen from the results of students' listening work which has increased from each cycle. In the third cycle, 100% of students scored according to the minimum learning mastery standard (≥ 75). Learning outcomes are said to be of high quality because the percentage of student learning outcomes is more than 85%.
STUDENTS' PERCEPTIONS OF POMODORO STUDY TECHNIQUE FOR ENGLISH LEARNING HABITS IN ENGLISH COURSE OF UKIR VILLAGE

Abstract: This study focuses on investigating the students' perceptions of the Pomodoro study technique and how the Pomodoro study technique influences students' English learning habits. Pomodoro study technique is a study technique that uses a timer to break down work into intervals. To find out the answers for research purposes, a semi-structured interview and Likert-scale questionnaire were used. After analyzing and interpreting the data the finding shows that the students perceive the Pomodoro study technique as an effective technique to improve their English learning habits. Some aspects of the students’ learning habits that have been improved are their focus, discipline, concentration, productivity, and motivation. Also, in their opinion, the rules of the Pomodoro study technique were easy to follow. The finding from the Likert-scale questionnaire shows that the Pomodoro study technique improves and influences most students' learning habits indicators. The indicators are time management, concentration, discipline, self-control, and self-improvement. Based on the questionnaire result, the range agree has the highest number of responses which is 47. The results demonstrate that the Pomodoro study technique improves the students' learning habits, so it can be said that the Pomodoro study technique is effective. The indication of the conclusion is based on the descriptive rating scale.
THE READABILITY LEVEL OF THE READING TEXT IN “PATHWAY TO ENGLISH” BY ERLANGGA FOR XI OF SENIOR HIGH SCHOOL

Abstract: The objective of the research was to find out the readability level of reading text in Pathway to English by Erlangga of 2017 edition for XI of Senior High School, which is generally used in the school as a written source and used by the teacher to deliver the material. This research is categorized as descriptive quantitative research and the data was collected and analyzed using Flesch Reading Ease formula. The results of this research show that 17 from 20 reading text is readable for XI of Senior High School, 2 of them is for the 13th to 16th grade, and 1 reading text is for College Graduate. Then, the average of readability score of the reading text is 62.88, which can interpret that Pathway to English for XI of Senior High School by Erlangga of 2017 edition for Kelompok Peminatan in Standard level and it’s readable for 10th to 12th grade, which can be concluded that this textbooks is readable and appropriate for XI of Senior High School.
PELATIHAN EFIKASI DIRI UNTUK MENINGKATKAN MOTIVASI BERPRESTASI PADA SISWA SMA TEUKU UMAR SEMARANG

Students are said to be successful in learning if there is a change in student behavior and learning outcomes. In learning activities, motivation is needed as a driving force for students when following the learning process. The phenomenon found that during online learning many students do not have the motivation to learn. One way that can be used to increase student learning motivation is to provide self-efficacy training. Self-efficacy training can help students Community service activities aim to increase students' learning motivation through self-efficacy training. The subjects in this PkM activity were students of class X SMA Teuku Umar Semarang, totaling 60 students. The implementation method used in this training activity is to use the lecture and training method. The activity was carried out in two sessions, the first session was given motivational material and the second session was given self-efficacy material and training to increase self-efficacy. The data analysis method used is descriptive and quantitative analysis. The results of data analysis using the testpaired sample t-test showed an increase in student understanding with a mean difference score of 1.50 Pretest and Posttest 4.07 with a T Test for mean equity of 2.567.&#x0D; Keywords: Self-Efficacy Training, Student Learning Motivation
Critical Discourse Analysis Studies in Customary Law Text of the Bima Land: Norman Fairclough Model

Ancient manuscripts are one of the historical relics that must be preserved in existence. Along with the development of science, the field of critical discourse analysis is increasingly in demand. But unfortunately, ancient manuscripts are still rarely studied with this field of imu. Therefore, this studyaims to present a critical discourse analysis on ancient manuscripts, namely the Bima Land Customary Law (HATB) manuscript belonging to the Bima (Mbojo) regional community in the province of West Nusa Tenggara. The presentation was delivered descriptively with Norman Fairclough's Model Critical Discourse Analysis Method. The research data is in the form of quotations of verses in the HATB manuscript. Data is collected by Listening Methods and Document Analysis Techniques. At the data analysis stage, the Norman Fairclough Model Critical Discourse Analysis is used by putting into practice all elements of its structure. In addition, data analysis activities utilize interactive analysis according to Miles and Huberman. Next, the data is presented by formal and informal methods. Based on the data analysis, it was shown that Fairclough divided the discourse analysis into three dimensions, namely text, discourse practice, and sociocultural practice. In the text of the Customary Law of Bima Land, these three things are integrated and sustainable. The manuscript was made by the people, because of the people, and in the interest of the people. The verses in the HATB text are representations of the relationship between man and God, man with man with other beings, and man with himself.
Penggunaan Aplikasi Emaze Sebagai Media Pembelajaran Seni Budaya di SMA Pembangunan Laboratorium UNP

This study aims to describe the use of the Emaze Application as a Learning Medium for Cultural Arts (Dance) at the UNP Laboratory Development High School. This type of research is qualitative research using applied descriptive methods. This research instrument is the researcher himself and is assisted by supporting instruments such as stationery and cameras. The data type uses primary data and secondary data. Data collection techniques are carried out by means of observation, interviews and documentation. The steps of analyzing data are data classification, data clarification, analyzing data, describing data and inferring data. The results showed that the use of the Emaze application as a medium for learning cultural arts (dance) in class X of the UNP Laboratory Development High School is very helpful for educators in delivering material to students more structured and interesting. Students' learning motivation increases with the 3D view and other advantages of the Emaze application. This can be seen from the results of student practice exams that are very satisfactory and achieve learning objectives in accordance with the syllabus and rpp. Teachers really appreciate the use of the Emaze application and are excited to learn to use the Emaze application in order to be able to use it when teaching and students like and are even interested in using the Emaze application again during learning using the discussion method. However, not all students expressed this, there are also those who are opposed to the above statement but the number who support the use of the Emaze application is very far from those who do not support it.
Detection of Thrombocytopenia, Anemia and Leukocytosis by Using Ensemble Learning

Blood disorders are conditions that impact the blood’s ability to function correctly. There is a range of different symptoms depending on the type. There are several different types of blood disorders such as Leukemia, chronic myelocytic leukemia, lymphoma, myelofibrosis, polycythemia, Thrombocytopenia, anemia and Leukocytosis. Some resolve completely with therapy, or do not cause symptoms and do not affect overall lifespan Some are chronic and lifelong but do not affect how long you live. Other blood disorders, like sickle cell disease and blood cancers, can be fatal. Thereneeds to capture of hidden information in the medical data for detecting diseases in the early stage. In this study, we apply the Ensemble Learning technique for classification. We compared our result with other classification methods. The results show that Ensemble Learning methods can predict the Tumor of blood disease better than the other classifiers.
FLAML-Boosted XGBoost Model for Autism Diagnosis: A Comprehensive Performance Evaluation

In this article, we address the challenge of imbalanced classification using automatic machine learning (AutoML) techniques in a case study on autism diagnosis. By leveraging the FLAML library, we demonstrate the process of balancing the dataset, training an XGBoost model, and evaluating its performance using various metrics, such as ROC curve, calibration curve, confusion matrix, and precision-recall curve. The XGBoost model achieves the best error of 0.0077, and the metrics provide a comprehensive view of its discriminative ability, calibration, and overall performance in autism classification.
THE USE OF WRITING FRAMEWORK AMONG INTERNATIONAL ENGLISH LANGUAGE TESTING SYSTEM LEARNERS IN PENGKALAN IPOH

English is a medium of language that connects everyone to every part of the world. There should be a standard operating system to standardize the proficiency of people. Therefore, IELTS which is known as International English Language Testing System is being used widely for academic purposes and the general paper is catered for migration and work. However, it is apparent that students these days have low literacy in writing and do not follow a proper framework. Thus, this research is to find the impacts of the use of writing framework among IELTS learners and determine the significant factors affecting IELTS learners’ writing performance. With this a non-probability method with a mix mode of 30 participant from a single class are the sample research. The researcher uses triangulation for collection of data with three instruments which is a survey method through questionnaire, interview with three teachers who are teaching the same level and observation. The data for the questionnaire is being tabulated through statistical package of social science (SPSS) system. The finding seems to be reliable and the validity is acceptable as student seems to have a positive mindset in writing. This intervention overwrites the research gap.