Reviewerly/exHarmony huggingface dataset:
Optimasi Algoritma K- Nearest Neighbor Berbasis Particle Swarm Optimization Untuk Meningkatkan Kebutuhan Barang

Abstract− The application of the K-Nearest Neighbor algorithm can be implemented where the results also show a new insight, namely predicting the level of need. With a ratio of 90%:10%, where there are 50 data objects tested to predict the level of needs in 2 groups, namely low needs or high needs. The results of the model scenario show that there are 2 objects in the Low needs group and 1 object in the High needs group. In evaluating this model, it was obtained from 10 fold Cross Validation that the Accuracy value was 82%, then the Precision value was 87.50%, and the Recall value was 80%. By measuring the performance of the model with Cross Validation, the resulting accuracy has a standard value or standard deviation, which aims to see the distance between the average accuracy and the accuracy of each experiment. While the Test Results using PSO In the evaluation of this model, it is obtained from 10 fold Cross Validation the Accuracy value is 100%, then the Precision value is 100%, and the Recall value is 100%, the test results have increased significantly
Perancangan UI/UX Sistem Penerimaan Mahasiswa Baru Berbasis Perangkat Mobile dengan Metode Design Thinking

The admission of new students is a crucial stage in the administrative process of higher education institutions. An efficient system and good User Interface/User Experience (UI/UX) design in the process of admitting new students are very important to create a positive academic environment. This study aims to design an optimal UI/UX on mobile device-based new student admissions systems at Muhamadiyah University of Magelang (UNIMMA). The method used is design thinking which includes analysis of user needs, problems, ideation, prototyping, and testing. The results of this study are the UI/UX design of the Unimma New Student Admissions (PMB) application based on mobile devices. The results of the tests conducted show that the design of the PMB UI/UX application using the design thinking method is able to improve the quality of the user experience in using the UNIMMA PMB application. This is evidenced by the results of usability testing which shows a significant increase in user satisfaction with the application. The test results use data based on user perceptions obtained through surveys, interviews and observations of prospective new students and related stakeholders. It is hoped that the results of this research will contribute to improving the efficiency and quality of the user experience in the UNIMMA new admissions system. This research can also provide guidance and reference for other tertiary institutions in designing a mobile device-based new admissions system with a design thinking approach.
Digitalisasi Warisan Benda Bersejarah Pada Kawasan Pura Pucak Penulisan Menggunakan Metode Waterfall

Sukawana Village has many temples and has a very interesting historical heritage so that it is used as one of the tourism sites, this village has a temple called Pura Pucak Penulisan which is located in Sukawana Village, this temple has many historical objects that have not been known by the surrounding community. The solution to overcome these problems is the digitization of historical objects in Pura Pucak Penulisan, Sukawana Village. The system development method uses the Waterfall method because it can provide a structured solution approach in producing a website as a medium for digitizing historical objects in the Pucak Penulisan temple area, Sukanawa Village. The implications of research with digitization can help the surrounding community and other people find information about historical objects in Pura Pucak Penulisan without having to see it directly to the place. Based on the results of research 103 respondents from the community regarding the digitization of historical objects in Pura Pucak Penulisan showed 98.1% with the digitization of historical objects in Pura Pucak Penulisan which provided clear information about the historical objects in Pura Pucak Penulisan, this was also supported by 21 respondents from the Sukawana Village Office showing 85% considered it important to digitize historical objects in Pura Pucak Penulisan, to maintain its cultural assets. And in the black-box testing results get the expected results with the appropriate test.
Pengenalan Bendera Negara Dengan Fisher Yates- Shuffle Pada Game Edukasi Android Menggunakan Metode GDLC

This research aims to address the negative impact of less educational games by creating an interactive educational game for Android that combines learning about national flags and memorizing flag images, thus enhancing logical thinking skills in children. It is developed using the Flutter framework as the development platform and follows the GDLC method, with alpha testing conducted using the blackbox method. The Fisher-Yates Shuffle algorithm is implemented for shuffling the flag images and the order of elements in the card list. The testing method involves using the Debug Console in Visual Studio Code to verify the success of the shuffling process. The conducted testing, performed six times, demonstrates the algorithm's success in shuffling the card order for each level. In the easy level, the randomized order is 6, 10, 8, 5, 3, 4, 11, 2, 7, 1, 12, 9. In the normal level, the randomized order is 6, 11, 20, 16, 1, 13, 19, 17, 9, 2, 15, 4, 10, 12, 14, 8, 5, 7, 2, 18. In the hard level, the randomized order is 2, 14, 1, 21, 7, 18, 24, 22, 10, 23, 6, 11, 15, 9, 17, 4, 8, 3, 5, 13, 16, 12, 19, 20. The Fisher-Yates Shuffle algorithm successfully generates diverse shuffling of flag images and avoids repeating the random order of cards each time the game starts. Thus, this game can provide stimulation to the brain and encourage children to effectively enhance their object memory skills.
Implementasi Metode Waterfall Pada Sistem Informasi Geografis Tata Ruang

This research aims to develop a web-based Geographic Information System (GIS) using the waterfall method to overcome the limited information available to the public regarding building and spatial licensing in Bengkulu City. The development method used is the waterfall method, which includes the stages of analysis, design, implementation, testing, and maintenance. The test results show that this system provides easy access to accurate and timely information to the community. Black box testing showed high reliability and stability, with no failures or errors in system functionality. In addition, usability testing involved 42 respondents from the Bengkulu city community, who gave a high level of satisfaction with the user interface, ease of use, and quality of information presented by the system. Thus, this research contributes to the efficient and transparent management of building and spatial licensing in Bengkulu City, and can be a reference for relevant agencies in providing information that is easily accessible and meets the needs of the community.
Rancang Bangun Game Pembelajaran Operasi Dasar Matematika Menggunakan Algoritma Fisher Yattes

One of the lessons regarding basic mathematical operations is found in 2nd grade material of SD Negeri 2 Randusari. In the learning process the teacher has not maximized in utilizing existing technology, especially since grade 2 elementary school. The students still tend to like to play and mathematics is considered a difficult subject. Therefore it is necessary to utilize media to be able to attract students' interest with the learning while playing method. one of them with game media. In this game the researcher applies the Fisher Yattes algorithm to each question that comes out so that students are not monotonous in playing it. The Game Development Life Cycle (GDLC) is a guideline that regulates the process of making this game with development stages including initiation, pre-production, production, alpha testing, beta testing and release. The results of the UAT test on 14 students where this game can be accepted by users by getting an average percentage value of 89.64%. In its application the Fisher Yattes algorithm succeeded in generating random values in the game and no similar questions came out repeatedly at the same level.
Implementasi Location Based Service Pendistribusian Bantuan Berbasis Android

The design of making an android-based aid distribution application aims to provide convenience in facilitating the village office in distributing aid by taking into account finding the distribution mileage so that the distribution process does not require large transportation costs, as well as distributing aid to the community in Nunukan Village, Bolaang Mongondow Utara Regency based on android by using location-based services. The design of this website uses the Research and Development method. This application is designed using PHP and HTML programming language software, namely Sublime Text, Java Programming Language Using Android Studio, and tools for modeling using UML (Unified Modeling Language).
Safety Helmet Detection on Field Project Worker Using Detection Transformer

There have been many cases of work accidents caused by not complying with safety standards at work, especially in the use of safety helmets. This study is able to make regular observations in identifying project personnel using safety helmets at work, this aims to reduce the risk of accidents at work, namely in the use of helmet attributes at work. Some previous studies, have proposed the use of image detection-based models using the Detection Transformer (DeTr) method for obtaining object detection, group prediction, and combining methods, using the Intersection over Union (IoU) method for obtaining object detection results, to achieve the best performance, namely to get convergence results. Based on the combination of these two methods, the results value of average IoU is 0.50 from 500 identified project personnel data were obtained.
Prediksi Persediaan Barang Tepat Waktu dengan Menerapkan Algoritma Apriori

he Apriori algorithm is a data mining technique for determining associative rules for a combination of components, this study aims to find the pattern frequency of each component that has been ordered by the customer so that the order is in accordance with the number and timely delivery, therefore to support the problems faced by PT. . SMF for the combination of inventory to purchase of goods, PT SMF applies the Apriori Algorithm to predict stock of goods so that when there is an order, the goods are not lacking and the delivery is also on time. The results of the research carried out obtained the most data on goods produced every 1 month, including the Pipe Bracket and Solenoid Bracket pattern of linkages in terms of predicting the number of goods at PT. If SMF produces Pipe Brackets, it must also produce Selenoid Brackets where the resulting confidence is 60%, Nc : 4, and for the lift ratio test it is 2.307. Whereas if you produce the Selenoid Valve Bracket, you must also produce the air pipe bracket for the resulting confidence of 75%, Nc: 5, and the lift ratio test of 2.272.
Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Tarif Pajak Penghasilan Di Oenity

Thel Oelnity tax consulting officel is onel of thel companiels that havel a lot of data on goods, data-data, and transaction data elvelry day. In gelnelral, thel Oelnity tax consulting officel only usels this data for relporting purposels only. Tax transaction data collelcteld and storeld can providel uselful knowleldgel for company managelmelnt in carrying out elfforts rellateld to tax increlasels, for elxamplel in telrms of deltelrmining tax financel stratelgiels and supporting delcisions for thel company. Consumelrs who apply for thel procelss of deltelrmining incomel tax ratels usually havel relasons why thely choosel a tax data calculation systelm from a tax consultant rathelr than managing it thelmsellvels. Belcausel tax consultants can providel what thely want, such as convelnielncel, accuracy, speleld, and nelatnelss of incomel tax calculations. Many consumelrs complain about thel incomel tax ratel calculation systelm, whelrel thel layout, making it difficult for consumelrs to gelt thel final tax relsults thely neleld, will also spelnd quitel a long timel just to find thel total incomel tax ratel. Thel Apriori algorithm is onel of thel most frelquelntly useld typels of data analysis in thel world of data procelssing. This analysis procelss is to analyzel thel numbelr of businelssels and thel amount of consumelr incomel by finding associations beltweleln lists of taxels that must bel paid. Thel Apriori algorithm is useld to arrangel itelm layouts and group itelms. From thel relsults of systelm implelmelntation, it was concludeld that using thel Apriori Algorithm melthod can hellp thel procelss of finding incomel tax ratels for elach consumelr data.&#x0D;
Analisa Penjualan Produk Kosmetik Dengan Metode Algoritma K-Means Di Toko Erremy

Applying data mining to analyze sales patterns of goods using the k-means algorithm method at the Erremy Shop. Availability of goods, stock of goods and completeness of goods in a shop is a very important element. So that the management process to regulate the availability of inventory is needed to avoid the accumulation of the same goods and is less desirable to customers. This research aims to determine buyer interest in a product so that we can ensure the supply and availability of products that are selling well or not selling well. The benefit of this research is to prevent product stockouts and accumulation of unsold products. The method used in product grouping uses the K-Means Clustering method so that the best-selling and less-selling products can be identified. Product data is grouped based on the similarity of the data so that data with the same value will be in one cluster. With the existence of product stock clusters with each level of stock movement owned, this allows it to be used as a reference in predicting the supply of products according to their needs. The tests carried out in this study were using black box testing.
An Empirical Validation of Domain-Specific English Parallel Corpus for Mechanical Translation Efficacy Enhancement

This article highlights the pivotal role played by domain-specific English parallel corpus (DSEPC) in Neural Machine Translation (NMT) model training by applying DSEPC that can be utilized to train the model and improve the quality of rendered translations. After empirical study, it turns out that DSEPC can further augment the accuracy and fluency of translations. Therefore, the access to domain-specific corpora is imperative for effective and high-quality NMT model training.
Research on the cultivation and improvement of college students' question ability and innovation and entrepreneurship ability under the background of ChatGPT

Question is the beginning of thinking, but also the beginning of learning. Question ability is the basis of the cultivation of innovation ability, and question ability is of great significance to the cultivation of college students' innovation ability.ChatGPT has powerful human-computer interaction capabilities and text generation abilities, providing new opportunities for innovation and entrepreneurship education in colleges and universities. This study aims to improve the innovation and entrepreneurship ability of college students by cultivating their question ability and with the assistance of ChatGPT.
Slope Stability Evaluation Based on Uncertainty Measurement Theory

The notion of unconfirmed measurement was used to develop an evaluation model of slope instability in open pit mines. To establish an evaluation system, construct a linear measurement function, and determine the weights of each evaluation indicator using an objective assignment method, nine indicators from three categories, namely geological structure, hydrogeology, rock structure, slope height, slope angle, angle of internal friction, vibration velocity of blasting mass, seismic intensity, and average annual rainfall, are chosen based on the importance of the causes affecting slope stability. The engineering application demonstrates that the evaluation model has a specific reference value for open pit mine slope stability analysis and mine safety management.
Experimental Design Study on Building and Configuring Dynamic Web Site Development Environment

Java Web development is currently the most popular technology for dynamic web development on the market, not only among developers, but it also dominates the majority of the research and development share in current application development markets. In the field of website development technology teaching, environment building and configuration is not only the foundation to ensure the normal operation of experiments, but also an essential prerequisite for students to learn dynamic website development. Additionally, it constitutes an important part of the entire course experimental teaching system, as the success or failure of the development environment will have a direct impact on students' subsequent learning of related knowledge. The article systematically reviews and analyses the experimental process involved in the construction and configuration of the development environment from the aspects of experimental design concept, experimental basic principles, software installation and configuration, and experimental summary, and finally gives a summary and reflections.
Quantum Machine Learning: Past, Present, and Future

In recent decades, classical machine learning (CML) has seen rapid development, allowing computers to generate reliable results accurately and quickly. In the last decade, as more powerful computers (both in software and hardware) and significant amounts of data become available, several breakthroughs in CML happened, including but not limited to AlexNet for image classifications, Gated Recurrent Unit for sequential predictions, BERT/transformer for natural language processing. However, there are natural limitations for CML that quantum machine. Thus, computer scientists turned their attention to quantum machine learning (QML), a new field that utilizes quantum properties to produce less time-consuming results while maintaining accuracy.
Interpretation of the Visual Order of Animal Figures in Paleolithic Cave Paintings in Europe

The Paleolithic cave paintings in Europe during the Stone Age are the most convincing historical records of prehistoric human civilization. They represent the primary means of expression and the most valuable visual heritage of prehistoric human civilization. As the starting point of Western art, the interpretation of these cave paintings in the academic community has mainly focused on their functions and meanings. Representative theories include Taylor's "primitive magic", Fraser's "sympathetic magic", Kant, Schiller, and Spencer's "play", Engels and Plekhanov's "labor", Lu Xun's "on bison", and Wicke's "misplacement of emotions". However, if we shift our focus to the cave paintings themselves and explore the relationships and construction principles between different animal images, such as the presentation of high and low, top and bottom, far and near, connection and separation, and the temporal factors of before and after, we will discover the hidden constant principles or visual order within the Paleolithic cave paintings in Europe. This paper aims to interpret the visual order characteristics presented in the cave paintings through image analysis, while uncovering the inherent visual rules followed by humans in their initial attempts at using painting as a form of expression.
Potential Influence of Institutional Incentives on Research Capacity and Job Performance of Teachers in Selected Universities in China

This study aims to determine the potential impact of institutional incentives on the job performance and research ability performance of some university teachers in China. A total of 563 teachers and managers from 50 universities in northern and southern China were surveyed, with 10 co participants. A survey and in-depth interviews were conducted from March to May 2023. A hybrid research method based on explanatory sequence design was used to describe and analyze the reactions of these universities from aspects such as institutional incentives, job performance, and research ability performance. Researchers analyzed the research abilities and achievements of teachers under current institutional incentives and correlated their teaching performance with job performance and research ability performance. The research results indicate that institutional incentives for participating in universities have a potential impact on the job performance and research ability performance of Chinese university teachers. It can be concluded that, in addition to promotion incentives, respondents' perceptions of potential factors that affect compensation, environment, achievement, and innovation incentives, as well as their research abilities and job performance, are also significantly correlated. There is a significant relationship between the perceived level of potential factors that affect research ability performance and the job performance of respondents.
Role Dilemmas of the New Generation of Rural Teachers and Strategies for Relieving Them

In recent years, the state has promulgated a series of policies and initiatives to encourage the new generation of rural teachers to take root in the countryside, however, as a new force in the rural teaching force, focusing on the new generation of rural teachers is not only an inevitable requirement for the construction of the rural teaching force in the new era, but also an objective requirement for the modernization of rural education. At present, the role of the new generation of rural teachers is caught in the predicament of narrowing and marginalization, the root cause is due to the single function of the rural school, the impact of social development, the teacher's own concept of the drive and other factors. A combination of external promotion and self-development is now proposed to alleviate the problem in three ways: social support and assistance, expansion and implementation of school functions, and the reshaping of teachers' self-concept.
A Study on the Strategies of Applying Labov’s Narrative Analysis Model to the Plot Conception of the Continuation Tasks

Since the emergence of the continuation task, how to achieve efficient alignment between “reading” and “writing” has always been a crucial and challenging point in high school English teaching, and this task pays more attention to testing students’ discourse analysis ability than before. Labov’s narrative analysis model is distinctly instructive for students to read from the perspective of overall discourse analysis. It can not only answer the questions of “what to read”and “how to read”but also pave the way for “what to write” and “how to write” and point out the direction. Based on Labov’s narrative analysis model, this paper takes the continuation task of volumes I and II of the new college entrance examination in 2022 as an example, expounds on how to predict the story trend further and conceive the story plot based on using the model to analyze the reading text. Finally, this paper puts forward some strategies that can benefit students’ plot conception from the elements of complicating action, evaluation, and result.