Reviewerly/exHarmony huggingface dataset:
Perancangan Media Video Profil Guna Peningkatan Pelayanan Publik di Kantor Camat Danau Sipin Kota Jambi

Service to the community is the main objective in the implementation of public administration. In the implementation of public services, it must be based on service standards as a benchmark that is used as a guideline for service delivery and a reference for evaluating service quality as an obligation and promise of implementation to the community in the framework of quality, fast, easy, affordable and measurable services. The Danau Sipin sub-district office is one of the sub-district offices in Jambi City which provides public services in the field of population administration related to licensing and non-licensing. In the implementation of public services, there are problems regarding information management in terms of providing services in the form of information to the public. not yet effective and efficient or not yet digitized often makes it difficult for the community to obtain information regarding licensing or non-licensing requirements and procedures. Designing a video profile for the Danau Sipin Sub-district Office can improve information management in providing information services to the people of the Danau Sipin sub-district. The community can easily obtain information from social media such as YouTube which displays information related to licensing and non-licensing at the Danau Sipin Sub-district Office, Jambi City.
Pengaruh Penerapan Metode Pembelajaran Student Teams Achievement Devision Terhadap Hasil Belajar Siswa Pada Mata Pelajaran Ekonomi Kelas X SMAN 9 Kota Jambi

This study aims to determine the effect of applying the Student Teams Achievement Division learningmethod to student learning outcomes in economics subjects in class x SMAN 9 Jambi city. This type of researchuses experiment. Meanwhile, the technique in this study used a purposive sampling technique, namely apurposive sample that requires a control class and a experimental class. The result of the study show that theapplication of the Student Teams Achievement Division learning method can improve student learningoutcomes. Thus, student learning outcomes are higher using the Student Teams Achievement Division learningmethod.
Pengaruh Penerapan Model Pembelajaran Kooperatif Tipe STAD Terhadap Motivasi Belajar Siswa Pada Mata Pelajaran Ekonomi Kelas XII IPS Di SMA Negeri 8 Kota Jambi

This research aims to determine the effect of implementing the Student Teams Achievement Division(STAD) type cooperative learning model on learning motivation in class XII economics subjects at SMA Negeri8 Jambi City. This type of research is field research with an associative hypothesis approach and quantitativemethods. The research results show that the application of the Student Teams Achievement Division (STAD)learning model has a significant influence on learning motivation. Thus, there is a positive influence betweenthe Student Teams Achievement Division (STAD) learning model on student motivation in the economics subjectclass XII IPS at SMA Negeri 8 Kota Jambi.
A Framework for Improving the Performance of QKDN using Machine Learning Approach

A reliable secure communication can be given between two remote parties by key sharing, quantum key distribution (QKD) is widely concentrated as the information in QKD is safeguarded by the laws of quantum physics. There are many techniques that deal with quantum key distribution network (QKDN), however, only few of them use machine learning (ML) and soft computing techniques to improve QKDN. ML can analyze data and improve itself through model training without having to be programmed manually. There has been a lot of progress in both the hardware and software of ML technologies. Given ML’s advantageous features, it can help improve and resolve issues in QKDN, facilitating its commercialization. The proposed work provides a detailed understanding of role of each layer of QKDN, addressing the limitations of each layer, and suggesting a framework to improve the performance metrics for various applications of QKDN by applying machine learning techniques, such as support vector machine and decision tree algorithms.
Predicting student disengagement: Harnessing visual cues for intelligent tutoring systems

Intelligent tutoring systems have the potential to enhance the learning experience for children, but it is crucial to detect and address early signs of disengagement to ensure effective learning. In this paper, we propose a method that utilizes visual features from a tablet tutor's user-facing camera to predict whether a student will complete the current activity or disengage from it. Unlike previous approaches that relied on tutor-specific features, our method leverages visual cues, making it applicable to various tutoring systems. We employ a deep learning approach based on a Long Short Term Memory (LSTM) model with a target replication loss function for prediction. Our model is trained and tested on screen capture videos of children using a tablet tutor for learning basic Swahili literacy and numeracy in Tanzania. With 40% of the activity remaining, our model achieves a balanced-class size prediction accuracy of 73.3%. Furthermore, we analyze the variation in prediction accuracy across different tutor activities, revealing two distinct causes of disengagement. The findings indicate that our model can not only predict disengagement but also identify visual indicators of negative affective states that may not lead to non-completion of the task. This work contributes to the automated detection of early signs of disengagement, which can aid in improving tutoring systems and guiding pedagogical decisions in real-time.
Image Hiding in an Audio File Using Chaotic Method via Genetic Algorithm

Information security is one of the most important parts of information technology and communication in the modern world. Information security has gained a lot of attention recently due to the need to transmit information through global communication channels and through the Internet. In this research, the genetic algorithm is used to develop the chaotic maps that are randomly generated by the chaotic system to find the best map by which the locations of image data are inferred to be hidden in the audio. An average image size of 64×64 pixels is used to be hidden in an audio recording of 7 seconds duration at average resolution specifications. The results show that one of the chaotic maps created at the 739 generations is the best in determining image byte hiding locations in the high-frequency band of the audio. The quality measures show the cover audio that includes the hidden image is not much different from the original input one. This confirms the validity of the proposed method and the good selection of hiding locations in accordance with information security concepts.
Efficiency Evaluation of Popular Deepfake Methods Using Convolution Neural Network

Many deepfake techniques in the early years are spread to create successful deepfake videos (i.e., Face Swap, Deep Fake, etc.). These methods enable anyone to manipulate faces in videos, which can negatively impact society. One way to reduce this problem is the deepfake detection. It has become such a hot topic and the most crucial task in recent years. This paper proposes a deep learning model to detect and evaluate deepfake video methods using convolutional neural networks. The model is evaluated on the FaceForensics++ video dataset that contains four different deepfake ways (deepfake, face 2 face, face swap, and neuraltexture), and it achieved 0.96 accuracy on the deepfake method, 0.95 accuracy on face 2 face approach, 0.94 precision on face swap method and 0.76 accuracy on neuraltexture method.
PENERAPAN METODE MARKOV CHAIN ANALYSIS DALAM MEMPREDIKSI TINGKAT ELEKTABILITAS CALON PRESIDEN 2024 MELALUI TAGAR SOSIAL MEDIA DAN GOOGLE TRENDS

To summarize the findings of the research on the prediction of electability for potential presidential candidates in the 2024 election using the Markov chain method, the study found the following results: For social media hashtags: Anies Baswedan: 0.404817, Ganjar Pranowo: 0.218493, Prabowo Subianto: 0.158993, Erick Thohir: 0.217697 For Google Trends: Anies Baswedan: 0.473078, Ganjar Pranowo: 0.328017, Prabowo Subianto: 0.128324, Erick Thohir: 0.070581 These results indicate that Anies Baswedan has the highest predicted electability based on both social media hashtags and Google Trends. Ganjar Pranowo ranks second in both categories. However, in terms of social media hashtags, Erick Thohir has a significantly higher electability than Prabowo Subianto, while in Google Trends, Prabowo Subianto has a slightly higher electability than Erick Thohir. It is important to note that these predictions may change over time as more data becomes available. Therefore, continuous calculations using the Markov chain method are necessary to update the predictions of presidential candidates' electability
PENGEMBANGAN E-MODUL MATEMATIKA BERBASIS PROBLEM BASED LEARNING UNTUK MEMECAHKAN MASALAH MATEMATIKA MATERI KECEPATAN DAN DEBIT DI SEKOLAH DASAR

The lack of learning media innovation in the form of technology-integrated e-modules is the background of this research. In addition, the low conceptual understanding of solving math problems in elementary school students needs media renewal in the form of e-modules with a problem-based approach or Problem Based Learning. The objectives achieved in this study were (1) to describe the process of developing a mathematical E-Module based on speed and discharge Problem Based Learning material in Elementary Schools (2) to determine the feasibility of a Mathematical E-Module based on speed and discharge Problem Based Learning material in Elementary Schools. This research includes the type of research and development or Research and Development (R&amp;D) with the 4D development model used in this research but is only limited to 3 stages namely Define, Design, Develop. The data collection method uses validation questionnaires and unstructured interviews. While the data analysis technique used by researchers is qualitative data analysis to describe the product development process and quantitative data to determine product feasibility. The results obtained from this study are in the form of problem-based learning-based mathematical e-module development products on material speed and discharge in elementary schools which go through three stages with the results of the due diligence product assessment by media expert validators, material experts, and linguists getting the category " Very Decent”.
PENERAPAN METODE SUPPORT VECTOR MACHINE (SVM) UNTUK KLASIFIKASI UANG KULIAH TUNGGAL DI UNIVERSITAS ISLAM NEGERI SUMATERA UTARA

North Sumatra State Islamic University is one of the State Universities in North Sumatra Medan which has implemented Single Tuition Fee (UKT). UKT is the name of a payment system that is currently in effect throughout the State Islamic Religious Colleges (PTKIN). In the UKT process, there are still problems, there are students at the State Islamic University of North Sumatra whose parents' economy is classified as low but gets a high UKT group, while their parents' economy is high but gets a low UKT group. The variables used are father's education, mother's education, father's income, mother's income and number of parents' dependents. The UKT groups are UKT 1, UKT 2, UKT 3, UKT 4, UKT 5, UKT 6 and UKT 7. The accuracy of the performance vector from the classification of the support vector machine method using cross validation is 61.33%
Developing Competitive Readiness through Psychological Education

One of the tasks of modern education is to prepare future specialists for competition. At the same time, the em-pathy and humanistic values of representatives of socionomic professions make them relatively more vulnera-ble to the stress of competition, including the need to regularly maintain their competitive ability. Objective: to study students’ readiness to compete and to develop psychological means of its development. Methods: “The level of competitiveness”, “The level of ability to self-learning and self-education” (V.I. Andreev); correlation analysis. Sample: 46 students studying socionomic professions. Results: The prevalence of students’ average level of competitiveness and ability to self-education is revealed. A set of psychological education measures is developed, contributing to the formation of adequate ideas about competition, about the qualities that hinder self-education and competitiveness, the formation of skills of organization of developmental leisure and self-regulation in stressful situations, the development of productive solutions and the implementation of competi-tive interaction. Available methods are used, recommended for the activities of the psychological service and in the teaching of special courses in psychology.
Faktor Pengelolaan Operasi dan Pemeliharaan Irigasi Di Kabupaten Tanah Datar

In recent years, the Tanah Datar district government has focused more on the physical implementation of irrigation area development and has not prioritized the budget for operating and maintenance costs so that there are still many Irrigation Areas (DI) whose irrigation infrastructure is not functioning properly with a high level of network damage that requires high costs. In addition, low awareness of the provision of operational and maintenance (OP) funds, limited human resources for OP staff, and the participation of groups of farmers using water (P3A) or a combination of groups of farmers using water (GP3A) is also not optimal. In order to function optimally and can be used for a long time, the irrigation that has been built needs to be maintained and managed systemically and to develop an optimal operating and maintenance management framework. The purpose of this study was to identify the dominant factors and factors that influence the operation and maintenance of irrigation networks in Tanah Datar District, as well as to optimize the operation and maintenance of the network. This study used a quantitative method by distributing questionnaires to respondents. The results of the research conducted revealed that there were 2 factors that influenced the operation and maintenance of irrigation networks in Tanah Datar Regency, namely the condition of physical infrastructure and supporting facilities and P3A Personnel Organization and Institutions..
Analysis of psychological biometric data for gender identification using fusion features and deep learning

A person's gender must be correctly identified for many applications, such as tailored services, social sciences, and human-computer interaction, to function properly. Traditional gender identification techniques mostly depend on physical traits, but new developments in psychological biometrics provide interesting alternatives. Over the last several years, several access control systems have included biometric security technologies to increase security. The handwritten signature is the psychological biometric characteristic that is most often used to validate daily documents like letters, contracts, wills, MOUs, etc. This study proposes an innovative Deep Learning (DL) approach to identify a person's gender from an image of their handwritten signature. The fusion of statistical and textural information taken from the trademark photos serves as the foundation for the proposed work. The texture is represented by the Pyramid Histogram of Oriented Gradients (PHOG) features. A novel sequence labelling multidimensional recurrent neural network (SLMRNN) is employed to classify the writer's gender. Extensive experiments are carried out on the gathered dataset to assess the performance of the suggested technique. The efficacy of the fusion features and DL models for gender recognition is evaluated using a variety of measures, including accuracy, precision, recall, and F1 score. To evaluate the suggested approach against existing procedures and emphasize its advantages, if any, comparative assessments are also carried out. The findings show that, in comparison to conventional approaches, the combination of behavioral biometric variables with cutting-edge DL algorithms greatly enhances gender identification accuracy. The suggested approach is anticipated to be beneficial in the development of effective computer vision tools for forensic analysis and authentication of papers with handwritten signatures.
Teaching targets with Penguins

Many researchers are becoming more aware of the importance of reproducibility.Although reproducibility involves a diverse array of topics and tools, one rOpenSci package has gained considerable attention for enabling reproducible analysis pipelines in R: targets, by Will Landau.&lt;strong&gt;Why a targets workshop?&lt;/strong&gt; Despite its popularity, targets can be challenging to learn because it requires code to be organized in a way that is different f
Design of Mobile-Based Parent-Student Contribution Payment Information System

&lt;p&gt;The background for this research is that schools are still manually processing payments for student parental contributions, which requires a lot of paper, resulting in many inaccuracies in collecting data on student parental contribution payments. this causes the process of paying parental contributions to be ineffective and inefficient, so it is necessary to have an information system for paying parental contributions at SMAN 12X11 Enam Lingkung. The research method used is the Research and Development (R&amp;amp;D) research method, which is a method for creating a product, The System Development Life Cycle (SDLC) is a model for developing this system and implementing it using the waterfall model which consists of communication, planning, modeling, coding, and Deployment. Based on the results of the research that the authors conducted, the authors were able to create an information system for paying student donations based on PHP as a programming language and MySQL as a database at SMAN 12X11 Enam Lingkung.&lt;/p&gt;
Target Audience of an Entrepreneurial Project and Analysis of the Methods of its Determination as Part of the Project Activities

The correct and detailed definition of the target audience contributes to the success of the business project. Despite the fact that today they distinguish innovative entrepreneurial projects separately, calling them start-ups, competition in the market requires that they be innovative a priori. Considering that the life span of such projects in Russia is an average of three years, it is advisable to collect data on the potential client before launching it. Meanwhile, according to statistics, 35–42 % of failures in the implementation of innovative entre-preneurial projects are due to the reasons associated with the incorrect definition of the target audience. In this regard, the article presents the rationale for the importance of knowing the potential addressee of an entrepre-neurial project, considers ways of determining the target audience, gives a brief description of them as part of the project activities according to three criteria: the purpose of the toolkit, the complexity of the analysis and the method of obtaining the information used. Conclusion dwells upon the fact that without a preliminary assess-ment of the demand for the proposed product from the addressable consumer, entering the market with any business project is inexpedient because of the high risks.
Students' Difficulties in Learning English

In English learners, especially high school students, generally find it difficult in translation and vocabulary. This study aims to find out what difficulties students face in learning English. To achieve the research objectives, a qualitative research method was used with a case study design. The instrument of this research is observation where we observe students' participation in learning English. Then we also use other instruments such as interviews. The object of this research is students of class VII-4 SMP Negeri 1 Delitua. The number of students in this study were 15 students. Researchers found that many students find learning English difficult. From the results of interviews the highest difficulty faced by many students was in translating sentences, the second was lack of vocabulary, and the third was motivation. The researcher also found other factors that cause students' difficulties in learning English, namely there are students who like English and there are also those who do not like English.
How r-universe searches for packages on CRAN / Bioconductor

&lt;strong&gt;How packages appear in r-universe&lt;/strong&gt; Last month we explained how r-universe makes it easy to search and browse through the countless R packages, articles, and datasets to let you discover and learn new things. We are continuously growing this database by adding more R projects, to guide you through everything the R ecosystem has to offer. Currently r-universe is tracking and indexing of over 18.000 R packages.
Discovering and learning everything there is to know about R packages using r-universe

&lt;strong&gt;Finding the right tool for the job&lt;/strong&gt; The hardest part about effectively using R is finding the best packages for the problem you are trying to solve. I think this is even more important than being fluent in the language itself, which you will pick up along the way as you start using R more frequently. However, building your code on reliable foundations is essential for good results, and difficult to fix later on in a project.
Refuseapp: Waste Transportation Service Application

Garbage is still a big problem throughout the world, including Indonesia. This waste problem has not yet found the right solution to deal with the increase in waste that continues to grow from year to year. Included in these problems are waste problems, both household waste and industrial or company waste. There are still wastes that cannot be processed and managed properly. The purpose of this study is to find solutions to minimize the accumulation of waste or waste, especially in the sector of an agency. The solution offered in this research is the design of an application called Refuseapp. This application functions as a waste transportation service devoted to the agency sector. This waste transportation service is provided free of charge in the hope of reducing the pile of waste that exists in the agency. The institutions in question are companies and hospitals. The waste to be transported will later be distributed to a waste processing site or waste bank and also to a final disposal site (TPA) in the area. The result of this research is the design of the Refuseapp application in the form of an application mockup.