Reviewerly/exHarmony huggingface dataset:
Pengelolaan Layanan Sistem Kehadiran Kerja Dosen Berbasis ITIL Versi 3.0

Quality is something that becomes a reference in assessing something. Good performance is always associated with good quality, so that good data and information management will have an impact on good performance in order to meet the desired quality. This research aims to apply the principles of the information technology service management framework based on ITIL version 3.0 into the context of managing the development of a lecturer attendance system service within the Faculty of Computers at Universal University. Through the service design domain, this research succeeded in developing recommendations for service system development in the aspects of service catalog management, capacity management, availability management, information technology service sustainability management, and information security management.&#x0D; Keywords: Service management; lecturer performance; ITSM; ITIL version
Implementasi IoT Pada Sistem Pembayaran di Koperasi Sekolah

Information technology has been widely adopted by numerous educational institutions, both formal and informal, based on religion or non-religious, The urgency of innovative technologi which appliable to school business processes are rising rapidly within enormous applicable internet of Things available. The research methodology in this research conducted comprehensively. Researcher will used the technolgu of Microcontroller Esp32 to help the implementation of payment in one of the department of the research object. Developing the system within the school system will need very trmendous effort to justify the system accepted by all the stakeholder. Researcher using the srum methods in software development and using the esp32 microcontroller as the thechologu to merged within, researcher hope the capablity of Background Subtraction Algorithm on ESP32, it is elucidated that the background subtraction algorithm can be implemented on the ESP32 device. This device possesses the capability to process image frames measuring 80 x 60 pixels a total of 10,000 times within a temporal span of 2,000 milliseconds (at an approximate rate of ±5,000 frames per secondThe result of this research supposedly achieve the implementation of the microcontroller technology to provide the solution in school business unit payment processes. All the visitor to the business unit are detected with the RFID card using the microcontroller to automate the identification and enabling better transaction process flow.
The Error of Past Tense Expression in Jackie Chan’s Utterances on Jackie Chan in Conversation

This research aims to identify the incorrect use of past tense by Jackie Chan in giving his first public talk at the Sydney Opera House. In this qualitative research, the researchers applied an observational method that focuses on grammatical errors. In this study, the researchers use a non-participatory technique that focuses on grammatical errors. Meanwhile, in analyzing the data, the method was identification, and the technique was competence in comparing. The researchers took the source from a conversation from Jacky Chan in an interview in Australia on Youtube. Based on the, the errors uttered by the speaker are errors in using the past simple, errors in using clauses and verbs, specifying a particular point or period in the past, and the verb "be". The conclusion is the speaker incorrectly used the appropriate type of verb when speaking in the past tense, the speaker also often uses the wrong type of verb that should be used in telling the past tense, and the use of verb "be".
Sector Window SAR Image Edge Detector With Edge Compensation Strategy

It is found that in the edge detection of synthetic aperture radar (SAR) images, conventional Gaussian-Gamma Shaped (GGS) and Ratio of Average (ROA) algorithms use detection windows that tend to cross over the true edges and contain regions of different quality, which leads to high false alarm rates. To solve this problem, the study proposes a new edge detector with a novel window design called the sector window (SW). This scalloped window allows better adaptation to the characteristics of SAR images, faster extraction of thin edges, and reduced inclusion area of different qualitative regions. In addition, in order to extract edges between similar uniform regions more accurately, the study also introduces an edge compensation strategy that enables the algorithm to detect some weak edges that are not easily extracted, thus improving the accuracy in the edge detection process. Both objective and subjective experiments show that the proposed edge detector has important potential for application in synthetic aperture radar image processing by introducing a new sector window and edge compensation strategy that can provide accurate edge detection results.
Object Detection and Localization for Visually Impaired People

Blind and visually impaired (VI) people have limited mobility because they cannot sense their surroundings or the terrain. They require constant help and walking aids to get through their everyday activities. Solutions that were put forth decades ago are now advancing quickly as a result of technical development and integration. While some notions have remained as research ideas, many assistance tools have been used in practical settings. Our goal is to enable blind people to travel independently by giving them the capacity to recognize nearby items and navigate to the object of interest with the use of an object recognition approach. A vital function of the human visual system, recovering the identification of adjacent objects within a restricted range is the goal of this. The feature extraction and matching algorithm is coupled with a voice-activated navigation system and a visual substitution system to identify and locate the object in photos. The proposed technology effectively locates and allows for the movement of blind people.
Evaluation on English Translator Speech Recognition System Based on Artificial Intelligence Algorithms

In recent years, with the rapid development of artificial intelligence technology, intelligent speech recognition has also received widespread attention. However, currently there is still a problem of low speech recognition accuracy in English translators. In order to solve this problem, this article has optimized the intelligent speech recognition system from the following aspects: one is the optimization of speech signal processing; the second is the optimization of speech signal feature extraction; the third is the optimization of speech recognition accuracy. Finally, a translator speech recognition method was designed to implement the construction of an English translator speech recognition system. The system performance test results show that the speech recognition method of uploading audio has a good recognition effect, with an accuracy rate of 96.7%. Therefore, the English translator speech intelligent recognition system designed in this article has achieved good functional testing results and meets practical needs. From the results, the voice recognition method of uploading audio is better than the direct speaking method. This may be because the audio is uploaded in a way that avoids the impact of ambient noise on speech recognition. In the functional test of speech synthesis, the system can quickly generate accurate speech and obtain good results. This shows that the English translation speech recognition system based on artificial intelligence algorithm performs well in speech generation.
Named Entity Recognition Method based on Bert-Bilstm-Attention-CRF for Education field

With the rapid development of the new generation of information technology, the educational information system has accumulated a large amount of educational data information, which makes learners have low cognitive efficiency, difficulty concentrating, and eventually deviate from learning goals and fail to complete specific learning tasks. This paper proposes a named entity recognition method in the education field combined with Bert-BiLSTM-Attention-CRE to improve learners’ learning efficiency. Firstly, BERT language model is used to extract text features to obtain the word granularity vector matrix; Then use Bi-directional Long Short-Term Memory (BiLSTM) to extract the word-to-word relationship between the input statements and the context; Thirdly, Attention mechanism is introduced to better utilize local contextual clues by assigning different weights to the text feature vectors, and strengthen the correlation between current information and context information; Finally uses the Conditional Random Field (CRF) model to extract the globally optimal output label sequence according to the dependency between labels; and the named entity of the education field is obtained in the end. The experimental results show that the Precision, Recall and F1 value of the model are 82.25%, 79.73%, 80.39% respectively, the overall recognition performance is high, and the effect is better than that of BiLSTM-CRF, CNN-BiLSTMCRF, HIDCNN, BERT-BiLSTM-CRF.
Degradation Adaption Based Heterogeneous Face Hallucination

In real-world long-range surveillance systems, thermal face images captured from a distance suffer from low resolution and noise, posing challenges for thermal-to-visible face image translation. Current methods assume similar resolutions and noise-free conditions between thermal and visible images, limiting their applicability. To address these issues, we propose the Degradation Adaption Network (DANet), which synthesizes high-quality visible images from low-quality thermal images. DANet combines pretrained Generative Adversarial Network (GAN) blocks with a U-shaped deep neural network (DNN) to incorporate faithful facial priors, including geometry, facial textures, and colors. Additionally, an unsupervised degradation representation learning scheme is developed to capture abstract degradation representations of degraded thermal images in a representation space. This approach allows DANet to adapt spatial features based on the degradation representation, striking a balance between fidelity and texture faithfulness using degradation-aware feature fusion (DAFF) blocks. Experimental results demonstrate that DANet outperforms state-of-the-art methods, showing its effectiveness in handling real-world low-quality thermal images across diverse practical applications.
A Variant of the Sine Cosine Algorithm for Engineering Optimization Design

The design of pressure vessels is a constrained optimization problem that is influenced by many real-world standards and specifications. It involves multiple variables and multiple constraints. The existence of real constraints can make the solution space complex, leading to multiple local optima and making the search for the global optimum very difficult. Metaheuristic algorithms provide effective solutions for constrained optimization problems. The Sine Cosine Algorithm (SCA) is an optimization algorithm based on sine and cosine functions. However, like most metaheuristic algorithms, the traditional SCA has some shortcomings, such as high dependence on the initial solution and the tendency to get trapped in local optima. In this paper, we address these issues by using the Singer chaotic mapping to initialize the solution space of the population and introducing quantum theory to improve the search mechanism of the SCA algorithm. We propose a variant of SCA called CQ-SCA for optimizing the weight design of pressure vessels. Experimental results show that the design scheme obtained by CQ-SCA is more suitable than other algorithms.
Multi-Scale Spatial Transformation and Attention Based Super-Resolution Reconstruction Algorithm

Face super-resolution reconstruction is a critical task in various application domains. To fully leverage facial pose and texture information, we propose a novel algorithm for face super-resolution reconstruction that incorporates multi-scale spatial transformation and attention mechanisms. Firstly, the multi-scale spatial transformation is employed to learn the facial pose and perform affine transformations, enhancing the local information of the face image. Additionally, spatial attention is utilized to extract features in the image space, capturing global characteristics. Subsequently, a residual learning approach and a multi-path connected up-sampling module are employed to progressively increase the image resolution, reducing feature loss and training instability during the up-sampling process. Finally, a multi-scale convolution is utilized to reconstruct high-resolution facial images. The performance of the proposed algorithm is evaluated using peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) as objective evaluation metrics. Experimental evaluations, conducted on the CelebA dataset at magnifications of 4x and 8x, demonstrate that our model achieves improved reconstruction of edge and texture information, as well as significant enhancements in the objective evaluation indicators of PSNR and SSIM.
Perancangan Sistem Informasi Penyewaan Lapangan Futsal Berbasis Web

Angkasa Futsal is one of the futsal field rental places in the city of Bengkayang. In the futsal field rental service method, it still uses the old method, namely the manual method which will have an impact on prospective customers and owners of places of tranquility. This study aims to build a web-based futsal field rental information system at Angkasa Futsal to make it easier for customers to make rentals and owners to manage rental data. The stages of research include problem assistance, literature review, data collection methods, needs analysis, system design, implementation and testing. Making the information system is carried out using the Waterfall method and designing the Uified Modeling Language (UML) model. This system can be used by 2 users, customer and admin.
Perancangan Sistem Informasi Pencatatan Surat Masuk Dan Surat Keluar Di Desa Tirta Kencana Berbasis Website

This study discusses the website-based information system for recording incoming and outgoing letters in Tirta Kencana Village. The aim of this research is to increase efficiency and transparency in the correspondence process at the village level. Manual recording processes that are prone to errors can be minimized, thereby increasing productivity and reducing the time needed to manage these letters. The results of this study indicate that the implementation of a website-based information system for recording incoming and outgoing mail in Tirta Kencana Village provides benefits in increasing efficiency, transparency, security, and communication in the correspondence process at the village level. This system can be a solid foundation for more effective correspondence management in the future.
PENGGUNAAN METODE SCRUM DALAM MEMBANGUN APLIKASI SISTEM MONITORING UPDATE MAINTENANCE SITE DAN GENSET PT. SIBATEL

Abstract: The use of technology is currently progressing and its development can be used in the processing, dissemination, and presentation of good information. The application system so far has been able to provide attractive services and make work easier for the public, both in information services and documentation services, such as monitoring applications. In line with the problems that exist in PT. SIBATEL, where in the previous update monitoring process work in the field to report to their superiors was considered to be inefficient. The purpose of this research is to design an application system for site and generator maintenance update monitoring that is useful at PT. SIBATEL. In designing this system application, it is hoped that it can be completed quickly and properly according to needs by using Scrum or the Agile Scrum framework. The results of this application development are considered effective and efficient in terms of time and are structured in carrying out the features needed by going through the stages: Product Backlog, Sprint Planning Meeting, Sprint Backlog, Daily Stand Up Meeting, Sprint Review, and Sprint Retrospective, with Focus factors which are used by 0.8 or 80% with a different sprint length in each sprint. So the selection of the scrum method in the development of site and generator maintenance update monitoring applications at PT. SIBATEL is considered quite good and useful. Keywords: scrum; application; system; monitoring; maintenance; site; genset Abstrak: Pemanfaatan teknologi saat ini sudah berkembang maju dan perkembangannya dapat digunakan dalam pengolahan, penyebaran, dan penyajian informasi yang baik. Sistem aplikasi hingga saat ini telah mampu memberikan layanan yang menarik dan meringankan pekerjaan kepada khalayak publik, baik dalam layanan informasi maupun dalam layanan dokumentasi, seperti halnya aplikasi monitoring. Sejalan dengan masalah yang ada pada PT. SIBATEL, dimana pada proses update monitoring sebelumnya pemantauan pekerjaan dilapangan untuk melaporkan ke atasannya dinilai kurang efisien. Tujuan dari penelitian ini adalah untuk merancang sistem aplikasi monitoring update maintenance site dan genset yang berguna pada PT. SIBATEL. Dalam perancangan aplikasi sistem ini diharapkan dapat diselesaikan dengan cepat dan baik sesuai kebutuhan dengan menggunakan scrum atau kerangka kerja Agile Scrum. Hasil dari pengembangan aplikasi ini dinilai efektif dan efisien dari segi waktu serta terstruktur dalam pengerjaan fitur-fitur yang dibutuhkan dengan melalui tahapan : Product Backlog, Sprint Planning Meeting, Sprint Backlog, Daily Stand Up Meeting, Sprint Review, dan Sprint Retrospective, dengan Focus factor yang digunakan sebesar 0,8 atau 80% dengan panjang sprint yang berbeda pada tiap-tiap sprint. Sehingga pemilihan metode scrum dalam pengembangan aplikasi monitoring update maintenance site dan genset pada PT. SIBATEL dinilai cukup baik dan berguna. Kata kunci: scrum; application; system; monitoring; maintenance; site; genset
Peningkatan Hasil Belajar Siswa dalam Pembelajaran IPA pada Materi Siklus Hidup Hewan Menggunakan Game Edukasi Media Puzzle

The aim of this research is to improve the learning outcomes of fourth grade students through educational games with puzzle media in science subjects at SDN 2 Pinceppute. The type of research used is Classroom Action Research (PTK) which was carried out for 2 cycles. The subjects studied were 16 grade IV students at SDN 2 Pinceppute, consisting of 9 male students and 7 female students. Data collection was carried out using a student learning achievement test instrument. Data analysis used is descriptive data analysis. The results of the study show that educational games through puzzle media can improve the learning outcomes of fourth grade students at SDN 2 Pinceppute, Palopo City. This can be seen from the indicators of research success, where ≥ 75% of students have achieved the KKM score (70). In cycle I, the number of students who had completed were 8 students (50%) and those who had not completed were 8 students (50%). Cycle II increased to 13 students (81.25%) and 3 students (18.75%) did not complete. It can be concluded that student learning outcomes have increased by 31.25%. Keywords: student learning outcomes, educational games, media puzzle, science learning .
Efektivitas Metode Bercerita dalam Meningkatkan Kemampuan Siswa Memahami Isi Bacaan pada Mata Pelajaran Bahasa Indonesia

The effectiveness of the storytelling method is not only known from the increasing ability of students to understand the content of reading in Indonesian subjects, but can be seen from the ability of teachers to apply the storytelling method. The role of the teacher in applying the storytelling method in improving students' ability to understand the contents of Indonesian reading is very much needed, so the teacher must have competence, namely a set of knowledge, skills and behaviors that must be possessed, internalized and mastered by the teacher in carrying out professional duties. The type of research used here is descriptive qualitative with a sampling technique that is purposive sampling. Collecting data through observation, interviews and documentation. By using data analysis techniques, namely data collection, data reduction, data presentation and drawing conclusions. The results of the data collected showed that the effectiveness of the storytelling method in improving students' ability to understand the content of reading in Indonesian subjects in class IV A SDII Luqman Al-Hakim 02 Batam is that in applying the storytelling method the role of the teacher should be needed in managing learning that has various abilities in terms of understanding students, as well as moving and motivating students to be enthusiastic in learning.
Layanan e-learning Pembelajaran dan Evaluasi Materi Dasar Iqr’a pada Madrasah Ibtidaiyah Swasta Tarbiyah Wewit

Abstract - The demands in this era of globalization refer more to technological developments for innovation and creativity in the world of education in order to be able to reform education and learning. With these innovations, it can improve the quality of education, especially in the learning process. E-learning is learning using electronic assistance, in addition to using e-learning must also use internet media. E-learning is flexible, students can study anywhere without any time limit. The purpose of this study is to describe the website-based e-learning process in thematic learning at MI Tarbiyah Wewit and describe the positive impact of website-based e-learning in thematic learning at MI Tarbiyah Wewit. The results showed that in the website-based e-learning process in thematic learning the teacher used the website as a medium to deliver material and evaluate lessons to students. In addition, teachers also use the website as a medium to collect student assignments. Website-based e-learning in thematic learning has several positive impacts at Madrasah Ibtidaiyah Tarbiyah Wewit. Some of these impacts are increased student learning outcomes and high enthusiasm of students in participating in learning and training students' social discipline attitudes.&#x0D; Keywords - E-Learning, Madrasah Ibtidaiyah, Website&#x0D;
Digital Twin and Artificial Intelligence-Empowered Panoramic Video Streaming: Reducing Transmission Latency in the Extended Reality-Assisted Vehicular Metaverse

The vehicular metaverse is expected to provide a widely connected virtual Internet of Vehicles (IoV), where extended reality (XR) is one of the critical infrastructures. However, the combination of XR and automated vehicle (AV) networks brings several significant challenges, e.g., low-latency XR panoramic video transmission, high bandwidth, and the high mobility of vehicles. This article introduces digital twin (DT) and artificial intelligence (AI)-empowered panoramic video streaming for XR-assisted connected AVs to reduce transmission latency and intelligently respond to user requirements. Specifically, we propose a DT-enabled distributed XR service management framework to provide low-latency and smooth XR services across different domains in the vehicular metaverse. In addition, we present a case study on XR streaming-based virtualized resource allocation and propose a novel deep reinforcement learning (DRL)-based method to minimize transmission latency. Quantitative experimental results demonstrate that the positive role of AI in connected AV networks can be enhanced by DTs. Finally, open issues and potential research directions for the XR-assisted vehicular metaverse are discussed.