Reviewerly/exHarmony huggingface dataset:
USER EXPERIENCE: NEW DIGITAL EXPERIENCE YIPY MOBILE APPLICATION SEBAGAI MEDIA KOMUNIKASI DI KAWASAN HUNIAN APARTEMEN ROYAL MEDITERANIA GARDEN RESIDENCES PODOMORO CITY

Lack of time and communication channels to facilitate all forms of communication between building management and tenants and other stakeholders, submit complaints, convey ideas, and at the same time for the development of further facilities as well as to maintain harmony between occupants and managers, the P3SRS and managers initiated a communication channel based Digital named Yipy. This application started to be used in September 2021 so the researcher intends to find out the user experience of the application. This research is intended to determine user experience in a digital-based communication framework on the Yipy application in terms of six elements of user experience, namely attractiveness, efficiency, clarity, dependability, stimulation, and novelty. The results of this study are 1) attractiveness, has attractiveness, color, animation, and design attracts attention, is easy to access and the features in it are easy to understand; 2) efficiency, this application is very detailed, precise, fast, and practical because of the realtime response; 3) easy to understand, the application is very useful, especially in payment and complaint activities, and is very user friendly; 4) dependability, the application is safe and predictable; 5) stimulation, users will continue to use the yipy application because through this application they can monitor tenant service requests so that; 6) novelty, as a solution for the transition from conventional services to digital-based services, in the form of innovative, creative and informative services.
Penggunaan Media Prezi Pada Proses Pembelajaran Siswa SMA

The use of innovative and interesting learning media is an important factor in improving student learning outcomes. Prezi is a learning media that can be used to improve student learning outcomes. Prezi offers a unique and dynamic visual approach to presenting information. Prezi allows students to be actively involved in the learning process and improve understanding of concepts. This research aims to examine the potential of Prezi in improving student learning outcomes. This research uses a literature review method by collecting data from published research journals. The research results show that Prezi has the potential to improve student learning outcomes in various subjects. Prezi can improve students' conceptual understanding, critical thinking skills, problem solving skills, creativity and collaboration. Based on the results of this research, it can be concluded that Prezi is a potential learning media for improving student learning outcomes. However, further research needs to be carried out to examine the effectiveness of Prezi in improving student learning outcomes in more depth
Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks.

This paper investigates the integration of Artificial Intelligence (AI) techniques to fortify security measures in computer hardware, with a primary focus on the proactive identification and mitigation of hardware-based vulnerabilities and attacks. As the digital landscape evolves, ensuring the robustness of computer systems becomes increasingly critical. Traditional security approaches often fall short in addressing sophisticated hardware-level threats that exploit vulnerabilities inherent in the underlying architecture. The study delves into the application of AI algorithms, machine learning models, and neural networks to enhance the detection capabilities of security systems, enabling early identification and response to hardware-related threats. By leveraging AI, the research explores the potential for real-time analysis of system behavior, anomaly detection, and pattern recognition to identify irregularities indicative of hardware attacks. Additionally, the paper examines the adaptability of AI-driven systems to dynamically evolve and counter emerging threats in the rapidly evolving cybersecurity landscape. Key aspects of the investigation include an in-depth analysis of existing AI-driven security solutions, their effectiveness in mitigating hardware vulnerabilities, and their ability to provide a proactive defense against potential attacks. The paper also explores challenges and considerations in implementing AI for hardware security, such as the need for robust training datasets, model interpretability, and ethical implications. The findings of this research contribute to the ongoing discourse on bolstering cybersecurity measures by proposing a holistic approach that integrates AI into the defense mechanisms of computer hardware. The insights gained from this study have practical implications for designing resilient hardware architectures and developing adaptive security protocols to safeguard against evolving threats in the digital era.
Repetition Modeling to Understand Unbalanced Data Streams

Modeling recurring concepts in unbalanced data streams is a machine learning task that involves classifying data when the number of examples of each class is unequal.
DesignSystemsJS - Building a Design Systems API for aiding standardization and AI integration

In the rapidly evolving landscape of software development, Design Systems have emerged as crucial frameworks that enforce consistency and efficiency in user interface (UI) and user experience (UX) design. However, the implementation of these systems varies significantly across teams, leading to discrepancies in understanding and applying design requirements. This inconsistency often results in divergent costs, efforts, and timelines in software projects. Our research introduces “DesignSystemsJS,” a novel JavaScript library, to address these challenges. Leveraging the widespread popularity and flexibility of JavaScript, widely recognized as a dominant programming language in both client and server-side web applications, DesignSystemsJS aims to standardize Design Systems requirements. It does so by enforcing a JSON format specification for defining the Design System, based on a meticulously researched checklist. This standardization is crucial in a domain where software reuse and the evolution of JavaScript applications often pose challenges related to third-party dependencies. Furthermore, DesignSystemsJS aims to support Artificial Intelligence (AI) integration, reflecting the ongoing paradigm shift in the software development industry towards generative AI assistants. AI integration in software testing and development has seen significant advancements, offering various approaches and tools to enhance efficiency and effectiveness. Our library taps into these advancements, utilizing AI techniques like data mining and machine learning to promote automated software reuse, a key aspect of modern software development. DesignSystemsJS’s architecture and API facilitate a more unified and streamlined approach to designing and implementing Design Systems, potentially revolutionizing how design consistency is maintained across different platforms and tools. This research paper details the methodology behind DesignSystemsJS, its features, and the potential impact it holds for the future of Design Systems development and AI integration.
Analyzing video footage from security cameras using the Amped FIVE professional tool specifically for the identification of vehicle license plates

This paper describes problems of improving security cameras’ video footage for forensic investigation. When processing records, one encounters problems with low resolution, poor lighting, or excessive distance of a key object in an image or video. Using the Amped FIVE Professional tool, forensic scientists create videos and analyze and process the record itself using various filters. Record quality demands a choice of video filters. The use and selection of filters show the improvement of the record itself to the level to which useful information can be obtained in this case of vehicle license plates. The presented roadmap can be used as the base for further video forensic research.
Towards Swarm Intelligence Ontology for Formal Description of Metaheuristics Algorithms

Swarm intelligence is a class of nature-inspired metaheuristic algorithms, that is specifically derived from biological systems in nature with an emphasis on their social interactions. These algorithms have been primarily developed to solve complex combinatorial optimization problems and are extremely popular among researchers in metaheuristic algorithms. This is evident from the numerous published scientific papers describing algorithms inspired by biological systems, ranging from insects such as ants and bees to the largest animals on the planet like whales. All these algorithms share some common concepts and relationships that can be explicitly identified, named, and formalized. These shared concepts and relationships can be organized and represented through the construction of an ontology. The goal of this paper is to present a formal ontology that standardizes vocabulary, as well as a set of rules enabling precise communication and reasoning about these algorithms. Ultimately, this will improve our understanding, analysis, research processes, and utilization of these computational approaches.
Dynamical Sets Theory: S2 t-Elements and Their Applications

The purpose of the article is to create new constructive mathematical objects for new technologies, in particular for a fundamentally new type of neural network with parallel computing, and not with the usual parallel computing through sequential computing
Implementation of an Enterprise Resource Planning (ERP) System and its Impact on Manufacturing Company Operational Efficiency

This article explores the implementation of an Enterprise Resource Planning (ERP) system and its consequential impact on operational efficiency within manufacturing companies. The research delves into the intricate process of integrating ERP systems, emphasizing their role in streamlining various business functions such as supply chain management, production planning, and inventory control.&#x0D; The study investigates the challenges faced during the ERP implementation phase and elucidates strategies employed to overcome these hurdles. It also examines the role of employee training and change management in ensuring a smooth transition to the new system, emphasizing their pivotal contribution to operational success.&#x0D; Furthermore, the article meticulously analyzes the tangible outcomes of ERP implementation, focusing on key performance indicators (KPIs) that gauge improvements in operational efficiency. This includes reductions in production lead times, enhanced accuracy in demand forecasting, and optimized resource allocation.&#x0D; The research methodology incorporates case studies and empirical data from manufacturing companies that have undergone ERP implementation. Comparative analyses highlight the variations in operational efficiency before and after ERP adoption, providing a comprehensive understanding of the system’s impact.&#x0D; The findings underscore the positive correlation between ERP implementation and operational efficiency, offering insights that contribute to the body of knowledge in both information systems and manufacturing management. Additionally, the article discusses potential challenges that may persist post-implementation and proposes ongoing strategies for continuous improvement.&#x0D; In conclusion, this article contributes valuable insights into the dynamics of implementing ERP systems in manufacturing companies, shedding light on their transformative impact on operational efficiency and providing a foundation for future research in the field.
Internationalization of Indonesian Language Towards World Language

The aim to be achieved in this study is to describe efforts to internationalize Indonesian for Indonesian citizens domiciled in the Netherlands. This research is categorized into descriptive research types. The population of this study is an entire Indonesian citizen domiciled in the Netherlands, especially in Denhag City and its surroundings. Data collection was carried out through the distribution of questionnaires to 20 respondents who became research samples, while data analysis was carried out using percentage techniques. The results showed that efforts to internationalize Indonesian in the Netherlands follow five aspects that cause a language to survive its speakers. First, it has a large number of speakers of the language; this was evident for Indonesian in the Netherlands. Second, language loyalty that encourages the people of a language to maintain their language, and if necessary prevent the influence of other languages; This can be seen from the frequency of Indonesian citizens using Indonesian, especially in the family and workplace environment. Third, language pride that encourages people to develop their language and use it as a symbol of community identity and unity; This can be proven clearly through various activities carried out by Indonesian citizens while still using Indonesian. Fourth, awareness of the norm that encourages people to use their language carefully and politely. Fifth, there is a continuous transfer of spoken language from the previous generation to the next; This has been proven by Indonesian citizens by getting used to the use of Indonesian in the household environment so that their sons and daughters can still speak Indonesian and fluent in Indonesian
Prospecting for Vein-Disseminated Mineralization by Geophysical Methods at the Zhasyltyube Site

In order to conduct further exploration and assess the prospectivity of the Zhasyltyube area, it is necessary to create a state-of-the-art geophysical basis. In the electro-magnetic exploration there is a rapid development of available technologies, which can be potential sources of new information. Magnetic surveying allowed us to identify the boundaries of intrusive massifs. Identify tectonic disturbances, zones of hydrothermally altered rocks, favorable for polymetal and gold ore occurrences. Detailed results obtained by electrical prospecting allowed us to identify potentially promising areas for the detection of zones of vein-disseminated sulfide mineralization
A Study on Preprocessing Method in Deep Learning for ICS Cyber Attack Detection

Industrial Control System(ICS), which controls facilities at major industrial sites, is increasingly connected to other systems through networks. With this integration and the development of intelligent attacks that can lead to a single external intrusion as a whole system paralysis, the risk and impact of security on industrial control systems are increasing. As a result, research on how to protect and detect cyber attacks is actively underway, and deep learning models in the form of unsupervised learning have achieved a lot, and many abnormal detection technologies based on deep learning are being introduced. In this study, we emphasize the application of preprocessing methodologies to enhance the anomaly detection performance of deep learning models on time series data. The results demonstrate the effectiveness of a Wavelet Transform (WT)-based noise reduction methodology as a preprocessing technique for deep learning-based anomaly detection. Particularly, by incorporating sensor characteristics through clustering, the differential application of the Dual-Tree Complex Wavelet Transform proves to be the most effective approach in improving the detection performance of cyber attacks.
Peran Perpustakaan Sekolah sebagai Sarana Pengembangan Budaya Literasi pada Siswa SMAN 2 Kota Cirebon

With the rapid changes in technology, the world’s needs for generational growth are getting increasingly intense. A superior generation necessitates a competent level of education accompanied by improved literacy skills. Schools, as educational institutions, should encourage their pupils to develop a literacy culture. The school library, as an information shelter institution in schools, should also contribute to the development of a literacy culture by providing multiple access points that children may easily ac- cess. As a result, this study was conducted to determine the role of the school library at SMAN 2 Cirebon in the development of a literacy culture among students. The research method used in the study is a descriptive qualitative method combining an interview and direct observation research method. The information obtained will be supported by research in the form of library research, which will use relevant library data to identify and describe in detail service activities at SMAN 2 Cirebon’s school library and the literacy program that has been implemented. According to the results of this study, the school library at SMAN 2 Cirebon has contributed in the development of a literacy culture among students. The literacy program that has been implemented in the school environment had a positive impact on students and encouraged them to read. The literacy program implemented by the school is deemed to be more effective because of the availability of quality services supplied by the school library. However, it is very unfortunate that the library has not digitized the library.
Driver Predicting Behavior Based on Accelerometer and Gyroscope Sensors with K-Means Algorithm Method

The transportation with an increasing population level in Indonesia will also affect the smoothness of traffic. However, with the existence of transportation that is owned by someone, it is often misused in driving. Aggressive driving behavior is a major factor in traffic accidents. As reported AAA Foundation for Traffic Safety, 106,727 dangerous accidents – 55.7 percent of the over past four year period involved drivers engaging in one or more acts of aggressive driving. Therefore, to predict driver behavior, the K-Means algorithm used the Orange Application. Using the driver behavior dataset that has been recorded with Accelerometer and Gyroscope Sensor-based applications, the results obtained where the k value is the number of cluster 1 there are 814 items, cluster 2 has 997 items, cluster 3 has 1273 items. From this test, it was found that proportion of predicted driver behavior with Aggressive qualifications was 96.4%, Normal was 92.2% and from driver behavior with Low qualifications was 74.3%. The accuracy rate of research using the K-Means algorithm to determine predictions is 0.861 or 86.1%. The results of predictions can help prevent accidents or other risks that will occur in the future.
Aplikasi Penerjemah Bahasa Bangka Ke Bahasa Indonesia Menggunakan Neural Machine Translation Berbasis Website

At this time, machine translation is one of the options for translating languages, especially for people who want to learn a language. Bangka language is a language that is often used by the Bangka people for everyday life. There have been many developments for machine translation, but no one has yet developed a translation machine for the Bangka language. The development of a machine translation using Neural Machine Translation (NMT) and its implementation using the Flask microframework is the first step for the development of a machine translation for the Bangka language. This study aims to make and find out the translation results of the Bangka language translator application into Indonesian using the RNN translator model. The development starts from creating a parallel corpus of Bangka language to Indonesian and machine translation architecture with the RNN model. The research method starts from dataset collection, data preprocessing, modeling and training, system evaluation and implementation. From the results of the BLEU Scores evaluation, a value of 55.3% was obtained for Bangka to Indonesian. Furthermore, the model is implemented in the form of a website by utilizing the Flask framework, so that users can easily translate.
Sistem Informasi Data Alumni SMK Negeri 2 Pangkalpinang Berbasis Website

One of the largest SMKs in the Bangka Belitung Islands is SMK Negeri 2 Pangkalpinang. At SMK Negeri 2 Pangkalpinang, alumni registration is still done with a Google form that can't be edited in the event of a data collection error, which can make the administration's validation process more difficult. The process of collecting alumni data, therefore, requires a more efficient system. The creation of a SMK Negeri 2 Pangkalpinang alumni data system is the goal of this study. This study used observation, interviews, and data collection about the alumni data collection information system at SMK Negeri 2 Pangkalpinang to collect the data. The waterfall development method is used to create the system. The development of a website-based alumni data information system for SMK Negeri 2 Pangkalpinang that is capable of managing alumni data and assisting the administration in processing alumni data is the outcome of this study. The user satisfaction survey found that 81.2% of respondents agreed that the system works well.
Studying environment characteristics of cultivation land in Dai Thinh Area, Me Linh District, Ha Noi city to serve sustainable development of health safe vegetables

Cultivation land (Planting Soil) is a natural resource that plays an important role for organisms and humans. Soil pollution will badly affect human and animal health through food, vegetables, fruits, medicinal herbs, etc. To clarify the characteristics of the geochemical environment and estimate the quality of the soil environment in the Dai Thinh area, Me Linh district, Hanoi city, the authors combined the using of traditional and modern methods in the research process, such as: field research methods, grain-size analytical method plus X-ray fluorescence spectroscopy (XRF) method to determine the major components (oxides) of soil. The high-frequency inductive plasma source spectroscopy combined mass spectrometry (ICP-MS) method and optical AAS atomic adsorption spectroscopy have been used to determine the concentration of critical heavy metals in soil samples. Besides, the direct measurement method used to determine environmental indicators (pH, Eh, Ec). Research results show that agricultural soil in the studied area belongs to the group of heavy sandy loam, sandy loam, and sandy clay soils, with average content of sand (size of 0.05-2mm): 60.8 (%), silt (limon) (size of 0.005-0.05mm): 17.96 (%), clay (size of &lt;0.005mm): 21.46 (%). The soil has not been yet polluted by critical heavy metals such as: As, Cd, Cu, Zn, Cr, Ba, Sb, Co, Mo, Se and Sn. The soil in the studied area shows neutral acid-base values (average pH is 6.61), has a strong oxidizing environment (Eh &gt; 150mV) (with values of Eh ranging from 183 to 310 mV), and is not saline (values of Ec ranging from 58.7 - 317.0 (µS/cm). Therefore, in terms of the results of determining environmental physical-chemical criteria and heavy metal concentration, the soil in the studied area can be used for health safe vegetable production. The research results not only serve as a basis for assessing the quality of the soil environment for safe healthy vegetable planting, but also serve as a scientific basis for the authors to propose a number of appropriate solutions to protect and improve the quality of vegetables, land environment protection, contributing to the planning and sustainable use of agricultural lands for the studied area.