Reviewerly/exHarmony huggingface dataset:
Peningkatan kualitas layanan perbankan digital melalui pengelompokan tweet menggunakan DBSCAN

Digitalization in the banking sector allows customers to obtain banking services independently without having to come directly to the bank. Digital banking services enable customers to obtain information, communicate, register, open accounts, banking transactions and close accounts, including obtaining other information and transactions outside of banking products. Banking is intensively providing services or promotions through social media, one of which is by using Twitter social media. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method. DBSCAN clustering is done by combining the Eps and MinPts values to produce the highest silhouette coefficient. The highest silhouette coefficient values from BRI, Mandiri and BCA banking service tweets produce 33, 14, and 39 clusters, respectively, with different Eps and MinPts values. Based on the results of wordcloud, it shows that banking services need to be improved in terms of checking DM on accounts, customers ask the admin to immediately respond to complaints related to ATM cards, disruptions to mobile banking and some say thank you for the services that have been provided.
Professional value orientations of university students in the specialty «Foreign language» (based on the results of a sociological study)

Profound changes in modern society and the development of market relations in it have led to a change in the system of life values of citizens of any country. Changes in value orientations have a sig-nificant impact on the professional self-determination of the new generation, which requires other types of career guidance work with young people that differ from previous forms, taking into account their worldview attitudes, and unstable labor market conditions. The purpose of the research is to determine the spectrum of the main value orientations of students, the role and significance of the labor values of students majoring in «Foreign Languages» at universities in Kazakhstan, Russia and China for successful self-realization in the labor market. The main empirical part of the sociological research is a survey conducted by the method of questioning students studying at full-time departments of the Faculty of Foreign Languages of Al-Farabi Kazakh National University (Kazakhstan), Saratov State University named after N. G. Chernyshevsky (Russia) and Dalian University of Foreign Languages (China). The total number of respondents is 300 people. The article comprehensively analyzes the value structure that has changed under the influence of external causes, and the views of young people on professional preferences, their attitude to the pro-fession being mastered and its role in the implementation of individual life plans. The factors of socio-professional self-determination of students are revealed. According to the results of the sociological&nbsp; research, for the youth of Kazakhstan and Russia, the importance in future work is an interesting job, and for Chinese students – the opportunity to develop skills in work. It was revealed that graduates who participated in the research of three countries in the specialty “Foreign language” have such common values as: “achieving their interests, goals”, as well as “conscious choice of profession” and “work only in their chosen specialty”. Key words: youth, values, value orientations, foreign language, choice of profession.
Prediksi Harga Ekspor Non Migas di Indonesia Berdasarkan Metode Estimator Deret Fourier dan Support Vector Regression

Economic growth is one of the indicators in the Sustainable Development Goals (SDGs) on increasing economic activity. One of the activities that supports the running of the economy is trade between countries, such as exports. In Indonesia, non-oil and gas exports have played an important role in total exports in recent years, including coal exports being the main export. Therefore, price predictions for Indonesia's non-oil and gas exports are very important as material for evaluating policies to encourage economic growth. This is the main focus of this research. In this study, non-oil and gas export price forecasts are made taking into account current issues such as the COVID-19 pandemic and the Russia-Ukraine war. The accuracy of the model obtained from the Fourier series estimator and Support Vector Regression (SVR) is investigated by comparing the Mean Absolute Percentage Error (MAPE) value to predict Indonesia's non-oil and gas export prices. The results of the study show that the COVID-19 pandemic and the Russia-Ukraine war have had a significant impact on non-oil and gas export prices. The SVR model with the Radial Basis Function (RBF) kernel shows better accuracy than the Fourier series estimator model of the cos sin function, with MAPE values of 9.29 and 15.26% for each test data, respectively. Therefore, this study is expected to be the basis for formulating policies related to regulating non-oil and gas export processes to support economic growth in Indonesia.
Reviewing Currency Challenges and The Future of Money: The Gouantum

The future of money is changing, and a new era of digital currencies is emerging. The traditional fiat and gold currencies face several challenges such as volatility, security issues, and limitations in transact ability. On the other hand, the cryptocurrency, despite its potential, also has limitations in terms of scalability, security, and widespread adoption. In this paper, we aim to address various currencies’ limitations and introduce a new currency concept that could mitigate most of the current currencies’ challenges and limitations. The new digital currency we proposed, combines the best of both fiat and gold currencies and overcomes the limitations of cryptocurrencies. By being backed by physical gold, Gouantum could provide stability and security, and by using blockchain technology, it shall enable fast and low-cost transactions. The paper provides a comprehensive overview of the challenges faced by traditional fiat and gold currencies and the limitations of crypto-currencies, and how Gouantum addresses these issues. The paper concludes that Gouantum has the potential to change the future of money and revolutionize the financial industry.
MTGAE: Graph Autoencoder with Mirror TCN for Traffic Anomaly Detection

Abstract Traffic time series anomaly detection has been intensively studied for years because of its potential applications in intelligent transportation. Classical traffic anomaly detection methods ignore the hidden dynamic associations between road network nodes as it evolves, resulting in the inability to capture the long-term temporal correlation, spatial and temporal characteristics of traffic data, and the abnormal nodes from it in a dataset with high periodicity and trends (e.g., morning peak travel). In this paper, we proposed a Mirror Temporal Graph Autoencoder (MTGAE) framework to explore anomalies and capture unseen nodes and the spatiotemporal correlation between nodes in the traffic network. In the method, we propose Mirror Temporal Convolutional Module (MTCM) module, to our best knowledge, which possesses better feature extraction and captures hidden node-to-node features in the traffic network and will be passed as hidden to the next module. Our proposed Graph Convolutional Gate Recurrent Unit Cell (GCGRU CELL) module, mapped to a high-dimensional space by Gaussian kernel functions, which discerns anomalous information in the traffic network and possible anomalies in the complex interdependencies between nodes and nodes based on prior knowledge and input data. We compared our work with several other advanced deep-learning anomaly detection models. The experimental results on the NYC dataset prove that our model works best compared to other models for traffic anomaly detection.
KEEFEKTIFAN MODEL PEMBELAJARAN COURSE REVIEW HORAY BERBANTU MEDIA VIDEO TERHADAP HASIL BELAJAR TEMA 3 SUBTEMA 1

This research is motivated by activities during thematic learning that have an impact on the low learning outcomes of learners. The problem in this study is whether the learning model of course review horay assisted by video media is effective in the learning outcomes of learners theme 3 subthemes 1. This type of research is quantitative research with pre-experimental design research methods with one-group pretest-postesttype. The result of the analysis of t calculated 7.1 ˃ t table 1.7. Based on the average pretest value of 64.3 and postest 75.65. The results of cognitive aspect values at each meeting increased one of them in the interval of values 80-89 with the number of 5 students, the interval of values 90-100 with the number of 15 students. Affective aspects at each meeting experienced an increase, one of which was the value interval of 80-89 with the number of 8 learners and the value interval of 90-100 with the number of 12 learners. Psychomotor aspects with a value interval of 70-79 there are 11 learners and a value interval of 90-100 with the number of 9 students
PENERAPAN METODE ROTATING TRIO EXCHANGE DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA

The purpose of this study is to describe the application of the Rotating Trio Exchange (RTE) Learning Method in learning Mathematics Theme 3 Objects Around Me and analyze the improvement of mathematics learning outcomes Theme 3 Objects Around Me, students of Grade III SD Negeri 1 Sumberjo in the first semester of the 2019/2020 Academic Year. This type of research is Classroom Action Research (PTK). The place of this research is in Grade III SD Negeri 1 Sumberjo. The time of this study is in the middle of the first semester of the 2019/2020 Academic Year. The subjects of the study were twenty-seven children. Data collection techniques for this study with non-test techniques and test techniques. This research data collection tool with observation sheets, photo documentation of activities and daily test questions. The result of this study is the application of the Rotating Trio Exchange (RTE) Learning Method in 9 trios and the learning outcomes from the unsatisfactory category to the satisfactory category.
Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs

Synthetic aperture radar (SAR) provides an all-weather and all-time imaging platform, which is more reliable than electro-optical (EO) remote sensing imagery under extreme weather/lighting conditions. While many large-scale EO-based remote sensing datasets have been released for computer vision tasks, there are few publicly available SAR image datasets due to the high costs associated with acquisition and labeling. Recent works have applied deep learning methods for image translation between SAR and EO. However, the effectiveness of those techniques on high-resolution images has been hindered by a common limitation. Non-linear geometric distortions, induced by different imaging principles of optical and radar sensors, have caused insufficient pixel-wise correspondence between an EO-SAR patch pair. Such a phenomenon is not prominent in low-resolution EO-SAR datasets, e.g., SEN1-2, one of the most frequently used datasets, and thus has been seldom discussed. To address this issue, a new dataset SN6-SAROPT with sub-meter resolution is introduced, and a novel image translation algorithm designed to tackle geometric distortions adaptively is proposed in this paper. Extensive experiments have been conducted to evaluate the proposed algorithm, and the results have validated its superiority over other methods for both SAR to EO (S2E) and EO to SAR (E2S) tasks, especially for urban areas in high-resolution images.
Evaluasi User Experience Website E-Learning My-Elnusa Menggunakan User Experience Questionnaire (UEQ)

Nusa Mandiri University has an e-learning service called MyE-Learning System Nusa Mandiri (MyELNUSA), but the system has not been evaluated on the user experience aspect. User experience includes the impressions and emotions of users when using a product and when the product can provide an efficient and pleasant service, the product can be stated positively on the user experience. In this MyELNUSA application, it is necessary to know how far the user experience measure is to the user. User Experience Questionnaire (UEQ) as an evaluation method consisting of six rating scales, namely attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. In this method there are 26 question items in the form of 2 attributes that are paired with opposite meanings. This evaluation is important because it is useful in knowing the user experience of the application and providing suggestions for improvements needed. Tests were carried out on 34 active students who used the MyELNUSA application and the results obtained that in the efficiency and aura aspects got scores above the average and then in the attractiveness, clarity, accuracy, and stimulation aspects they got below average scores. The recommended areas for improvement are aspects of attractiveness, clarity, accuracy and stimulation
PENGEMBANGAN MEDIA LEARNING MANAGEMENT SYSTEM (LMS) BERBASIS KITĀB AL-‘ARABIYAH LI AN-NĀSYI’ĪN

&lt;p style="text-align: justify;"&gt;&lt;em&gt;The speed of information and communication technology development influences the transition of all human life in various ways, including in education. These various development media are incomplete if there are no things that make it easier for everyone to access learning. One media that can facilitate learning, especially learning Arabic, is E-learning based on the Learning Management System (LMS). This study adopts R&amp;amp;D research (research and development) with five stages: analysis, design, development, implementation and evaluation. The trial (implementation stage) was carried out on class XI students at the Muhammadiyah Boarding School Modern Islamic Boarding School in Yogyakarta, with a total of 42 students. The research results are in the form of learning media products of Learning Management System (LMS) based on the Book of Al-̒Arabiyah Li An-Nāsyi'īn for class XI students at the Muhammadiyah Boarding School Modern Islamic Boarding School, Yogyakarta, which can be accessed on the website &lt;a href="https://mbs-yogya.ucm.ac.id/courses/11-tamrin-lughoh" target="_blank"&gt;https://mbs-yogya.ucm.ac.id/courses/11-tamrin-lughoh&lt;/a&gt;. The validation results from media experts obtained a feasibility of 92 in the very feasible category, while material experts were 86 in the very feasible category. As for the trials from the students, the results were 92.56 with a very decent category and 86 with a very decent category from the teachers.&lt;/em&gt;&lt;/p&gt;&lt;p style="text-align: justify;"&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;: Development, Learning Media, Learning Management System, Al-̒Arabiyah Li An-Nāsyi'īn&lt;/em&gt;&lt;em&gt;̒&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Analisis Regresi Spline Truncated pada Indeks Pembangunan Manusia (IPM) di Provinsi Jawa Timur tahun 2021

The increase in the achievement of the Human Development Index cannot be separated from the improvement of each of its constituent components. Currently, the components of the HDI also show an increase from year to year. To be able to participate in the development process, of course, Indonesian people are needed who are not only superior in terms of quantity, but also superior in terms of quality. HDI is used as a tool to achieve national goals, so that many things are related between humans and the development around them. This is to find out what factors can affect the HDI in East Java so that the provincial government can pay attention to several programs which can later be used to continue to maintain and improve development so that it can become an achievement for the Province of East Java. One of the analyzes that can be used is modeling, one of which is regression analysis. Nonparametric regression is a regression that is flexible in use because it can find its own data pattern. One of the truncated spline approaches to nonparametric regression can be used to predict the Human Development Index (HDI). HDI and several factors that influence it will be estimated at various knot points to get the best model. In the Spline Truncated nonparametric regression modeling which is applied to HDI data in East Java Province in 2021 several knot points are tried, namely 1 knot point, 2 knot point, and 3 knot point. The results obtained showed that the best model was found in the 3 knots experiment with a minimum GCV value of 5.40 and an R2 value of 89.875%.
AFFINITY PROPAGATION AND K-MEANS ALGORITHM FOR DOCUMENT CLUSTERING BASED ON SEMANTIC SIMILARITY

Clustering text documents is the process of dividing textual material into groups or clusters. Due to the large volume of text documents in electronic forms that have been made with the development of internet technology, document clustering has gained considerable attention. Data mining methods for grouping these texts into meaningful clusters are becoming a critical method. Clustering is a branch of data mining that is a blind process used to group data by a similarity known as a cluster. However, the clustering should be based on semantic similarity rather than using syntactic notions, which means the documents should be clustered according to their meaning rather than keywords. This article presents a novel strategy for categorizing articles based on semantic similarity. This is achieved by extracting document descriptions from the IMDB and Wikipedia databases. The vector space is then formed using TFIDF, and clustering is accomplished using the Affinity propagation and K-means methods. The findings are computed and presented on an interactive website.
A Deep and Novel Study on Quality Analysis Techniques

A Deep and Novel Study on Quality Analysis Techniques
Analysis of the global scientific production on virtual reality as a marketing tool in Scopus

The aim of this study was to describe the global scientific production on virtual reality as a marketing tool contained in the SCOPUS database, in order to map its trends and implications. The study is descriptive and cross-sectional under a bibliometric approach. The results respond to the analysis of bibliometric indicators of production, visibility, impact and collaboration. It is concluded that between 1993 and 2021 there is a total of 1046 articles that address the topic of virtual reality as a marketing tool, showing a sustained increase in its scientific production, demonstrating the interest in its study in recent decades.
Visual search patterns for multilingual word search puzzles, a pilot study

Word search puzzles are recognized as a valid word recognition task. Eye gaze patterns have been investigated during visual search and reading, but the word search puzzle requires both searching and word recognition. This paper will discuss findings from an eye-tracking study of word search puzzles in three languages, of varying fluency for the participants. Results indicated that participants employ a search strategy that is somewhat dependent on language fluency and varies from a rigid, structured search pattern to randomly searching for a target word. The majority of gaze measurements are not significantly influenced by either word length or fluency of presented language, although mean fixation durations are longer for shorter words.
Cloud security: literature survey

&lt;span lang="EN-US"&gt;Today, the growth of digitalization has made the ease for livelihood for all the organizations. Cloud computing the storage provider for all the computer resources has made it easy for accessing the data from anywhere anytime. But at the same time the security for cloud data storage is the major drawback which is provided by various cryptographic algorithms. These algorithms convert the data into unreadable format, known as cipher text, Rivest, Shamir and Adleman (RSA) one of the most popularly used asymmetric algorithm. This paper gives detailed review about such different cryptographic algorithms used for the cloud data security. The comparison study is also made for the size of data and to analyze the encryption time and decryption time, which concludes that to enhance the cloud data security some addon techniques are to be used along with these cryptographic algorithms. To increase the security level and to increase the transmission speed of plaintext, integrated method will be proposed by encoding the plaintext to intermediate plaintext and then intermediate plaintext will be compressed using any one of the compression techniques to increase the compression ratio, lastly the compressed file is encrypted to further enhance the security level.&lt;/span&gt;
Implementation of the official document management policy within the north sulawesi provincial government

This study aims to analyze the implementation of official document arrangement (TND) policies within the North Sulawesi provincial government. This study uses a qualitative descriptive method based on Grindle's theory with indicators consisting of policy content and policy environment. The research informants were taken using a purposive sampling technique, totaling 8 informants. Data analysis uses data reduction, data presentation and conclusion drawing. The results showed that the management of official document within the North Sulawesi provincial government was based on Governor Regulation Number 34 of 2010 which was based on the Regulation of the Minister of Home Affairs Number 54 of 2009. The management of the official document arrangement is still hampered by a number of issues, such as each Regional Apparatus Work Unit (SKPD) use of a non-uniform format and the usage of logos and stamps that do not adhere to established guidelines. Instead, the format is governed by the preferences of the specific SKPD leaders. The North Sulawesi government has decided to employ an electronic-based government system (PBSE); however, they still manage official documents manually. The use of an electronic/digital system can reduce the need for paper and ink, speed up the correspondence system, and make the process of storing archives easier because using a manual technique runs the risk of damaging paper records due to ageing.
TRI HITA KARANA IN EDUCATION CONTEXT: A LITERATURE REVIEW

This article aims to describe the importance of Tri Hita Karana (henceforth, THK) in the education context based on previous studies. This issue is important to be researched since there is a trend of considering THK for the betterment of education. An online-based literature review was used to get the primary data. The data are taken from free downloadable articles in scientific journals that focus on THK and its values in the education context. Google Scholar and Connected Papers were used as the search engines. The articles were limited from 2018-2022 and searched with the keywords Tri Hita Karana, value, learning material, and education. In this study, the researcher defined the term THK, explained the values of THK in the education context, reviewed previous studies on the educational values of THK, and provided recommendations for the better multidisciplinary integration of THK in the education context, especially in English as a Foreign Language (EFL). The literature review indicated that, in the education context, THK is used as an indicator to be used for building character education and integrating it with classroom practice.