Reviewerly/exHarmony huggingface dataset:
IMPACT OF TROPICAL CYCLONE SEROJA ON RAINFALL AND WIND SPEED IN EAST NUSA TENGGARA PROVINCE

Tropical cyclone phenomenon can give impacts such as heavy rain, strong winds, and high waves around its growth area. One of the tropical cyclones that has occurred is Seroja Tropical Cyclone which formed in the Sawu Sea on April 3, 2021. Therefore, this study aims to determine the effect of Seroja Tropical Cyclone on rainfall and surface wind speed in East Nusa Tenggara Province and the percentage comparison of rainfall and wind speed during the Seroja tropical cyclone event with the normal value of rainfall and surface wind speed over a 10-year period. The data used are daily rainfall and surface wind speed data during the Seroja tropical cyclone event, namely April 3 to 12, 2021 and daily average rainfall and wind speed data in April for 10 years in several affected districts in East Nusa Tenggara Province. Data processing is done by calculating the percentage comparison of rainfall and wind speed during the Seroja Tropical Cyclone event with normal rainfall and wind speed in several regions in East Nusa Tenggara. Based on the analysis, heavy to extreme rainfall and strong winds were found in several districts at a radius of about 400 km from the center of the cyclone. Although the category of this tropical cyclone is low, it is able to give impacts in the form of heavy to extreme rainfall and strong winds in the surrounding area. So it can be concluded that the tropical cyclone category does not directly affect rainfall and wind speed in an area, but the distance between the area and the center of the tropical cyclone is more influential in increasing rainfall and wind speed in an area. This is also proven by Sumaja's research in the case of tropical cyclones LUA and Narelle.
Investigating EFL Students’ Tense Errors in Writing Narrative Text

A narrative text should have a generic structure and language feature. Simple past tense is a language feature of the text. In writing an English narrative text, EFL students commonly make errors related to using the simple past tense. Therefore, this research aims to discover EFL students’ types of errors in writing narrative text using simple past and to determine EFL students’ dominant errors in writing narrative text using the simple past tense. The design of this research is a mixed-method. The respondents are ten third-semester EFL students of the English Language Education Department of Universitas Teknologi Yogyakarta. Research data were documents, EFL students' narrative text writing-related Cross-Cultural Understanding, taken from the subject's lecturer. Data were analyzed qualitatively and quantitatively. The results of this research show that EFL students made four types of errors: omission, addition, misformation, and misordering, in writing narrative text using the simple past tense. This research reveals 123 EFL students’ errors in writing narrative text using the simple past tense. Misformation was the most dominant error with 100 errors (81%), followed by addition with 12 errors (10%), omission with 9 errors (7%), and misordering with 2 errors (2%). This research has a small scope, limited to analyzing third-semester EFL students’ errors in writing narrative text using simple past tense at Universitas Teknologi Yogyakarta. Therefore, further researchers are expected to conduct wide-scope research, such as Indonesian EFL students using a different research design, e.g., experimental research on the effective technique used to decrease EFL students’ errors in writing narrative text using the simple past tense.
Data Clustering of Confirmed COVID-19 Patients Using Fuzzy C-Means

The continuous mutation of COVID-19 generates new virus variants with nearly identical symptoms, such as sneezing, runny nose, sore throat, cough, fever, loss of taste and smell, and shortness of breath. Since the emergence of this virus in Indonesia, there still needs to be more research on the symptoms caused by the different COVID-19 variants, leaving the public with minimal information that may result in inappropriate early treatment, inefficient costs, and insufficient recovery time. This study aimed to classify COVID-19 patient data into two clusters based on the severity of the symptoms experienced by patients: the confirmed cluster and the unconfirmed cluster. Using Fuzzy C-Means, patient data will be clustered into two confirmed and unconfirmed clusters of covid 19 disease as the initial step in the research phase. The results of this study are anticipated to provide information on variations in the severity of symptoms among infected patients, thereby enhancing the precision of early diagnosis and treatment. The resulting clustering model is based on data collection and processing outcomes using Python and the Fuzzy C-Means algorithm, which is based on experimentation.&#x0D; Keywords: Cluster, COVID-19, Fuzzy C-Means.&#x0D;
Web-Based Payroll Data Security Application Using the AES Cipher Method at the Mangga Dua Store Kebumen

Mangga Dua Store is a shop that is engaged in selling clothes, pants, and other products. In processing salary data, Mangga Dua Store employees only process data in the form of text files in Microsoft Excel without any file protection which causes misuse of data by unauthorized people. To solve this problem, data protection is needed using a method to encrypt employee salary data. In a study conducted to protect employee salary data using the AES 128 Cipher Method. This research resulted in a Web-Based Payroll Data Security Application Using the AES 128 Cipher Method by performing encryption and decryption to protect employee salary data. Based on the results of research and discussions that have been carried out, it shows that with the Data Security Application Using the Aes Cipher Method 128 employee salary data at the Mangga Dua Store can be encrypted and decrypted. So that it can avoid any misuse or manipulation of data that can be done by unauthorized people which can result in losses to the Mangga Dua Store.
Correlation Analysis in Software Information Dissemination Testing in Regional Apparatus Organizations (RAD) to Support Jogja Smart City

The application of information technology is one of the characteristics of smart cities that are used to provide services for their citizens. This application does not only change what previously did not use information technology to use information technology but the uses of software that is specifically used to serve the community so that the service process becomes fast as is done in the Regional Government RAD (Pemda) of Yogyakarta City. Before using a special application, dissemination services were performed using Microsoft Excel which can only be accessed on a computer. The software for information dissemination was tested by distributing questionnaires with questions grouped on Service quality improvement for information dissemination and User satisfaction. The results were processed and analyzed using the correlation method. The result showed a value of sig.(2-tailed) is 0,000, the Correlation Coefficient of 0,400, so it can be concluded that the relationship between improving service quality for information dissemination on RAD and user satisfaction is significant, strong enough, and unidirectional.
K-Means Algorithm with Davies Bouldin Criteria for Clustering Provinces in Indonesia Based on Number of Events and Impacts of Natural Disasters

Indonesia has 34 Provinces with a geographical position at the meeting zone of the Eurasian, Indo-Australian, Pacific and Philippine slab, this makes Indonesia vulnerable to the threat of geological disasters. Other disaster threats arise due to climate change and people's bad behavior towards the environment which has an impact on natural and environmental damage. Based on data natural disasters and their impacts over the last five years, a study was conducted to find province clusters that fall into disaster-prone criteria, the number of disaster victims and the impact on building damage caused. The research was conducted using rapidminer tools with the K-Means Clustering algorithm and optimization using the Davies Bouldin Index (DBI). The method used is collecting datasets, preprocessing data, modeling and analyzing DBI. The results, found that the cluster of disaster-prone provinces was East Java, followed by Central Java and West Java. The large number of disaster victims are the provinces of Lampung and West Nusa Tenggara. The biggest impact of damage buildings is the Province of West Nusa Tenggara&#x0D;
Digital Watermarking Implementation Of Digital Watermarking On Images Using The Least Significant Bit Method

The ease of accessing the internet in this modern era has led to illegal crimes, especially data copying, data distribution and abuse of intellectual property rights. From these problems emerged a method of securing data and information, namely watermark. Watermark is used for data security techniques, both for copyright protection and digital signatures in the visible and invisible realms. One of the data security techniques used here is to use the least significant bit (LSB) method. This method is used for data security or images that contain watermarks, for example on currency there is usually a logo to distinguish real and fake currencies. This study uses nine host images taken from the https://www.kaggle.com/datasets/felicepollano/watermarked-not-watermarked-images dataset with different sizes, namely 513 x 513 pixels, 488 x 350 pixels, 467 x 350 pixels, 500 x 333 pixels, 512 x 301 pixels, 490 x 350 pixels, 500 x 332 pixels, 400 x 266 pixels, and 500 x 308 pixels. As for the label image, it uses the uty logo which has a size of 50 x 50 pixels, 80 x 80 pixels, and 124 x 124 pixels. From the results of the watermark test that has been carried out using the LSB method, the average PNSR value is 65 dB, so it can be concluded that the watermark research using the LSB method gets pretty good image results and can be used for data security.&#x0D; Keywords: Watermark, Least Significant Bit, Peak Signal to Noise Ratio (PNSR)
Decision Support System for Property Insurance Selection Using Simple Additive Weighting (SAW) Method

Every human being cannot predict what events will happen to him, whether natural disasters or non-natural disasters that can befall his property assets. Property insurance is a type of protection for property assets such as houses, apartments, and offices. The goal is to anticipate financial losses due to unexpected events that befall your property. Data such as Risk-Based Capital (RBC) is needed in choosing a property insurance company, the amount of premium, insurance coverage, and the premium period as a material consideration in making decisions. In implementing the Property Insurance Selection Decision Support System Application using the Simple Additive Weighting (SAW) method, the user determines the main priority weights from the predetermined criteria, from the results of determining the priority weights, a recommendation for property insurance companies is obtained which is desired by the property owner from the calculation results, it can be concluded that the average calculation speed of the application of 30 experimental sample data is 1264 ms or 1.264s
A Study on an Intelligent Algorithm for Automatic Test Paper Generation and Scoring in University English Exams

This paper mainly studied the automatic test paper generation and scoring problems in university English exams. Firstly, an automatic test paper generation model was established. Then, an improved genetic algorithm (IGA) was designed for intelligent test paper generation, and it was also used to automatically score answers to Chinese-to-English translation questions in terms of syntax and semantics. It was found that compared with the traditional GA and particle swarm optimization algorithm, the IGA method was faster in generating test papers, with an average generation time of 25 s, and had a higher success rate (94%), suggesting higher validity, and the difficulty and differentiation degrees of the test papers were closer to the preset values. The results of automatic scoring also had a correlation of more than 0.8 with the manual scoring results. The results prove the effectiveness of the automatic test paper generation and scoring method. It can be promoted and applied in practice to enhance the security and fairness of large-scale English exams, as well as achieve objectivity and consistency in scoring.
Session 8: The Zoomies and the Shakies, Part 2

A Feeling and Body Investigator would be incomplete without in-depth explorations of joyous sensations. We explore what it feels like to be so filled with energy that you cannot sit still (Ernie the Energy Ball) or when you have so much music in your heart that you have to dance around (Dancing Darrin). We investigate moments when you are so filled with joy that you feel your heart might burst out of your chest (Bursting Bella), or when you are laughing so hard that your side hurts (Lulu the Laughing Pain). In this session we move. We dance. We giggle. We explore ways to take these joyous sensations and share them and make them even bigger.
ENHANCING POPULATION WELFARE: HARNESSING SUSTAINABLE ECONOMIC GROWTH AND THE DIGITAL ECONOMY THROUGH EFFECTIVE DIGITAL MARKETING STRATEGIES

Population welfare stands as one of the fundamental concerns for societies worldwide
Criminal act of competition fixing with review on the Council of Europe Convention on the manipulation of sports results

Fixing the outcome of sports competitions is one of the biggest threats to the integrity of sports. Sport as a social phenomenon has its own individual and social dimension. However, the degree of benefit for the individual and society can be neutralized by phenomena that threaten the integrity of sports competitions. The goal of this research is to provide an answer to the question of whether criminal law, as a branch of law characterized by the ultima ratio character, should respond to the appearance of fixing the outcome of sports competitions, as well as what type of outcome fixing should be responded to within the framework of criminal law. This research also includes an analysis of certain provisions of the Council of Europe Convention on the manipulation of sports results in order to see the potential scope of the Convention in terms of influence on the criminal legislation of countries that ratify the convention. In the last part of the paper, the criminal offense of fixing the outcome of the competition from Art. 208a. Criminal Code of the Republic of Serbia.
Some methodical aspects to calculus of multiple integrals with mathematical packages

This paper talks about applications of the mathematical packages Maple and Wolfram Mathematica program on computing of multiple integrals. These packages can be used as computing and training environments. In this paper we will present some examples of calculus of multiple integrals with mathematic methods and using mathematical packages.
Implementasi Data Mining Penerimaan Mahasiswa Baru Universitas Graha Karya Muara Bulian

The choice of prospective students on the registration form produces a unique pattern because each prospective student has a different choice according to background, aspirations and tuition fees while still referring to the 9 courses offered. Piles of forms with combinations of program study options will have no meaning for UGK MB if detailed mining and analysis is not carried out. In fact, doing useful data mining will gain knowledge and information that is useful for UGK MB and other decision makers to address the process of admitting new students in the following year. Difficulties in answering past data stacks, which are often also known as chunks of data of this kind, can be ported with data mining (Data Mining). The amount of data studied is 135 forms. The method used is Apriori Algorithm analysis. The results show that for 1-itemset, the highest frequency occurs in the Information Systems variable with a value of 58, 43% support and 100% confidence, while the lowest frequency occurs in Accounting with a value of 14, 10% support and 100% confidence. For the 2-item set, the association rules If the first choice is the PGSD study program then the second choice is the TIP study program with a frequency value of 16, 12% support and 53% confidence and this is the highest association rule. Meanwhile, the lowest association rule is the rule. If the first choice is the Agro Technology study program, then the second choice is the Information Systems study program with a frequency of 4, 3% support and 20% confidence.
The implementation of the auxiliary teaching of local history assisted by digital resources for grades VIII-IX and XXII

The communication addresses various methodological aspects related to the implementation of the local history teaching assistant, assisted by digital resources, in grades VIII-IX and X-XII. The conceptual landmarks of the history teaching assistant have been established. the identification in the given place of the archeological vestiges, the discovery and conservation of the ethnographic materials from the village, the elucidation of the specifics of the economic development, the research of the ecological situation, etc. The most common concepts in the life of a village are: the hearth of the village, the deeds of sale-purchase or transfer of land, legal disputes over property or inheritance, the etymology of the names of the villagers listed in the first documents, the origin of toponyms, hydronyms, ethnonyms areas adjacent to it, etc., as indispensable parts of the cultural heritage
Rancang Bangun Sistem Informasi Audit Mutu Internal

Internal quality audits are conducted within the internal quality assurance system (SPMI) of higher education institutions to ensure compliance with SPMI standards and enhance a quality culture. Constraints in implementing internal quality audits include limitations in human resources, time, and costs, as well as the complexity of audit stages and documentation of audit findings. To address these challenges, a website-based information system has been designed using the waterfall method and the Unified Modeling Language (UML) approach, utilizing the PHP framework CodeIgniter and a MySQL database. The system aims to digitize and automate the implementation of internal quality audits to enhance effectiveness and efficiency. Additionally, it facilitates the management and storage of internal quality audit documents. For testing purposes, black-box testing is employed, consisting of 10 different test types. The testing results indicate a 90% success rate, while 10% of the data did not succeed due to the limitation of inputting text HTML.
Availability of students in general education in relation to information and communication technologies in the educational process

Education is a global phenomenon that ensures the generation and transmission of theoretical and / or practical accumulations obtained by mankind throughout its historical evolution, in order to form the human personality for organizational integration in society. In the context of the current challenges in the field of education, namely information and communication technologies are an important alternative, which reduces the temporal, social or spatial restrictions. This article proposes a comparative analysis of the TIC from the computer science curriculum and how available the students are to use them in the instructive-educational process.
Arsitektur Convolutional Neural Network untuk Model Klasifikasi Citra Batik Yogyakarta

Batik is an Indonesian culture that has been recognized as a world heritage by UNESCO. Indonesian batik has a variety of different motifs in each region. One area that is famous for its batik motifs is Yogyakarta. Yogyakarta has a variety of batik motifs such as ceplok, kawung, and parang which can be differentiated based on the pattern. Yogyakarta batik motifs need to be preserved so they do not experience extinction, one way is by introducing Yogyakarta batik motifs. The recognition of Yogyakarta batik motifs can utilize technology to classify images of Yogyakarta batik motifs based on patterns using the Convolutional Neural Network (CNN). The Yogyakarta batik motif images used for classification totaled 600 images consisting of 3 different motifs such as ceplok, kawung, and parang. Image classification using CNN depends on the architectural model used. The CNN architecture consists of two stages, namely Convolutional for feature extraction and Neural Network for classification. The CNN architectural models made for the introduction of Yogyakarta batik motifs totaled 7 models which were distinguished at the feature extraction stage. The highest accuracy results in the classification of Yogyakarta batik motif images using CNN were obtained in the 6th model. The 6th model has an accuracy of 87.83%, an average precision of 88.46% and an average recall of 87.66%. The accuracy, precision, and recall values ​​obtained by the 6th model are above 80%, which means that the 6th model can classify Yogyakarta batik motifs quite well.
Implementasi Re-design UI/UX Website Fumigasi Untuk Meningkatkan Customer Experience

Fumigation website is a website owned by PT. Prana Argentum which is used as a platform for disseminating information related to pest control. However, based on interviews with company owners, there are some drawbacks such as the appearance of the website is not very user friendly, the information provided is difficult to find. This is also supported by the results of the UEQ pre-survey of website users, where the results of the 6 UEQ scale get the "bad" criterion, which means the low usability value of the website. This study aims to determine the suitability of the company's website in improving customer experience. To overcome the display problems on the website, a solution is needed, namely redesigning the UI/UX design using the double diamond methodology and usability testing along with UEQ. The result of this research is a redesign of the UI/UX design by adding new features such as a price quote feature, an appointment feature, and a transaction feature. To improve the customer experience, researchers also pay attention to the use of colors, fonts, language styles, to user-friendly navigation flows. In this study, two types of tests were carried out, namely usability testing with the Maze tools and UEQ testing. The usability testing results obtained a usability score of 87 which can be said to be good in terms of its usability value. Based on the results of the UEQ test, it is known that there is an increase in the mean value on all UEQ scales. It is proved that the highest mean value is on the perspicuity scale of 2.09 points and the lowest value is on the novelty scale with a value of 1.53 points. the results of the UI/UX website design of PT. Prana Argentum Corporation is classified as good, proper, and acceptable to users.