Reviewerly/exHarmony huggingface dataset:
Aspect-Based Sentiment Classification for Detecting the Cognitive Triad Mechanism of Depression

The cognitive triad mechanism of Beck's cognitive theory is critical for early diagnosis and prognosis of depression.According to the cognitive triad mechanism, negative views about the self, the future, and the world appear to be routine in depressed people, occurring spontaneously.The challenge in the clinical interview is that the individuals may have trouble explaining their past and current symptoms for a variety of factors, such as the existence of concurrent mental health or medical problems and memory difficulties.The aspect-based sentiment classification technique can help psychologists overcome this difficulty by identifying the cognitive triad pairs {(self, negative), (future, negative), (world, negative)} from the individual's clinical chatbot and social media messages.The proposed multilayer RNNcapsule architecture on Cognitive Triad Dataset (CTD) consists of two layers, i.e., sentiment recognition and aspect identification layers.Through experiments on the CTD, the multilayer RNN-capsule model outperforms the single-layer RNN-capsule model for aspect-based sentiment classification.The accuracy and F1 score of a single-layer RNN-capsule model for aspectbased sentiment classification are 0.857 and 0.858, respectively.The accuracy and F1 score of the sentiment recognition capsule in the multilayer RNN-capsule model are 0.89 and 0.892, while the accuracy and F1 score of the aspect detection capsule are 0.957 and 0.956.Also, the multilayer RNNcapsule model outperforms most of its counterparts like GNN, LSTM, and BiLSTM.More importantly, capsule architecture is capable of producing words containing sentiment and aspect inclinations that reflect the attributes of sentiment and aspect capsules, respectively, without the use of any linguistic knowledge.
Study about Online Game Addiction Junior High School Students in Kediri City

This study aims to determine: (1) online game addiction of junior high school students in Kediri City, (2) junior high school students' learning achievement, (3) and the relationship between online game addiction and learning achievement. Mixed Methods Design is used as a combination or combination of quantitative and qualitative research approaches including qualitative and quantitative data in a single study. The strategy used, namely the Congruent Embedded Strategy, is an interesting research strategy, namely in one stage of data collection, researchers are able to collect two types of data together. The results of the quantitative research show that students who are addicted to online games have 3 students (16.03%) including very high, 4 students (14.36%) including high, 13 students (41.86%) including moderate, 4 students (11.9%) is low, and 5 students (12.66%) is very low. In addition, there are 12 students who have low learning achievement, namely getting the "less" and "very poor" categories so that they get an unsatisfactory ranking. While there are 6 students who get the "enough" category and 12 other students get the "very good" and "good" categories. From these results, there is no significant relationship between online game addiction and learning achievement because the value of the hypothesis test is 0.291. On the qualitative side, from 30 students it was found that (1) His early playing online games, (2) The average time spent playing 2-4 hours, (3) His parents did not allow him to play online games, and (4) Achievement low learning.
Inflation Forecasting In East Java Using Autoregressive Integrated Moving Average Method

Inflation is an economic event that often occurs even though it is not wanted. Based on data from Badan Pusat Statistik in 2015-2020 inflation in East Java was 3.08%, 2.74%, 4.04%, 2.86%, 2.12%, 1.44%. From these data, it can be seen that inflation data is fluctuating. Therefore it is necessary to control inflation because high and unstable inflation can have a negative impact on the socio-economic conditions of the community. In addition, it also makes it difficult for the government to determine future policies. Seeing the importance of controlling inflation, it is necessary to study to predict the inflation rate in the future. One of the studies/methods to predict that is often used is the Autoregressive Integrated Moving Average (ARIMA) method or also known as the Box-Jenkins method. The ARIMA method is a method that is easy to use because it is flexible in following existing data patterns and has high accuracy and tends to have a small error value because of the detailed process. From the analysis results, the best ARIMA (p,d,q) model is the ARIMA model (2,1,1) with an AIC value of 76.77. The results of forecasting with the ARIMA model (2,1,1) respectively are 0.2593698, 0.1892990, 0.1340639, 0.1368309, 0.1572021, 0.1642381, 0.1598897, 0.1557251, 0.1556074, 0.1570151, 0.1576092, 0.1573511, 0.1570423, and 0.1570111.
Training Basic Skills of Scientific Writing and Publication to Improve Research Competence

The purpose of community service is the achievement of the tri dharma of higher education by providing knowledge that can be applied by the community. This training aims to encourages the academic community to play an active role in research activities. By the theme of the event, this activity is also present to provide benefits in the form of education for both lecturers and students in preparing themselves to make a scientific journal. The Community Service Team held initial discussions with several lecturers from several universities that have cooperation with the Faculty of Economics, Jakarta State University such as YKPN Polytechnic University Yogyakarta, STABN Raden Wijaya Wonogiri, STIE Pertiwi, STIAB Jinarakkhita Lampung, Podomoro University, Dian Nusantara University, Gunung Swaadaya University. Teak. The partners discussed their desire to receive the Basic Skills Training for Scientific Writing and Publication to Improve Research Competence. The method used is qualitative with descriptive analysis techniques. This activity is carried out so that partners can have basic skills in writing scientific papers and publications in international journals. The result of training in writing articles and scientific publications is to improve the quality of research in universities that have an impact on society.
Hommogenous weights on the ring $\mathfrak{R}_{5,3}=\mathbb{F}_5+u_1\mathbb{F}_5+u_2\mathbb{F}_5+u_3\mathbb{F}_5$

In this paper, we investigate linear codes over the ring $ \mathfrak{R}_{5,3}=\mathbb{F}_{5}+u_{1}\mathbb{F}_{5}+u_{2}\mathbb{F}_{5}+u_{3}\mathbb{F}_{5} $, and we determine the homogeneous weight of this ring, to derive some properties corresponding to these codes.
PEMANFAATAN INSTAGRAM IVAN LANIN SEBAGAI SUMBER PEMBELAJARAN BAHASA INDONESIA SMP

This research was conducted to analyze the Indonesian spelling and conjunctions contained on Ivan Lanin's Instagram social media account which will later be used as learning resources for seventh grade junior high school students. This research is a research using descriptive method. The data source of this study was obtained from Ivan Lanin's Instagram social media account in the form of Indonesian spelling and conjunctions. Data collection techniques used listening and note-taking techniques. The data validation technique uses data triangulation. Data analysis shows that social media accounts, especially Instagram, have benefits as learning resources that can be applied in learning or in teaching and learning activities. Forms of using Instagram social media accounts as learning resources include supporting learning activities, the internet as a source of information. The results showed that there was an explanation of the Indonesian spelling and conjunctions contained in Ivan Lanin's Instagram account. The types of spelling found on Ivan Lanin's Instagram are the use of letters, writing words, and the use of punctuation. The spelling on Ivan Lanin's Instagram is in line with the material for personal letters and official letters in KD 4.12. In addition, there is an explanation of conjunctions on Ivan Lanin's Instagram account which can then be a source of learning on narrative text material in KD 4.4.Keywords: Social Media, Instagram, Spelling, Conjunction
BENTUK LIRIK LAGU ANAK DI TAMAN KANAK-KANAK JAKARTA TIMUR:KAJIAN INTERTEKSTUAL

Children's song lyrics in kindergarten always have their own characteristics. Children's song lyrics found in kindergarten are usually song lyrics adapted from previous song lyrics. Children's song lyrics are taught in kindergarten to train children or teach children various things such as religious values, independence, introduction to animals and others. The purpose of this study was to describe the form of the lyrics of children's songs sung in Kindergarten based on the types of hypograms. The subjects in this study were the lyrics of children's songs at the Kindergarten PG/RA Al Bakiriyah East Jakarta, TK Laboratory Jakarta, and PAUD Harapan Mulya. This research is a qualitative research with content analysis technique. The content analysis technique of this research is by collecting data and describing it by collecting data, presenting data, and conclusions. The result of this research is that there are 14 songs from 3 kindergartens in Jakarta. 1 song is included in the expansion hypogram, there are 7 songs included in the convention hypogram, there are 6 songs included in the hypogram, and none of the songs are included in the Ekserp hypogram.Keywords: Intertextual, Children's Song Lyrics, Hypograms
DAYA SAING BAHASA INDONESIA DI ERA INDUSTRI KREATIF (STUDI PERBANDINGAN TERHADAP PELABELAN PRODUK PADA UMKM MAHASISWA UNIVERSITAS BANGKA BELITUNG)

Indonesian is the national language for Indonesia. The use of Indonesian is important in various situations and conditions. Various kinds of tribes and cultures, Indonesian as an intermediary to become a single unit. One of the minimal applications of Indonesian is in product labeling. Therefore, this study aims to compare the competitiveness of the Indonesian language in the era of the creative industry with the main focus of this research comparing the competitiveness of using foreign languages with Indonesian in product labeling in Pangkalpinang, especially in UMKM students of the Faculty of Economics, Bangka Belitung University. This study focuses on the context of the competitiveness of the Indonesian language on MSME product labels. This study uses a qualitative-comparative design with observation and interview methods. This study describes a comparison of products that use foreign labeling. The findings show that products with foreign language labels are higher than Indonesian. The use of foreign languages for product labeling can result in a decrease in the value and competitiveness of the Indonesian language, especially in Pangkalpinang.Keywords: competitiveness, Indonesian language, creative industry
Framework to Mine XML Format Event Logs

Abstract A lot of applications including event logs and web pages uses XML format for utilizing, keeping, transferring and displaying data. Thus, volume of data expressed in XML has increase rapidly. Numerous research has been done to extract and mine information from XML documents. Mining XML documents allows an understanding to the architecture and composition of XML documents. Generally, frequent subtree mining is one of the methods to mine XML documents. Frequent subtree mining searches the relation between data in a tree structured database. Due to the architecture and the composition of XML format, normal data mining and statistical analysis difficult to be performed. This paper suggests a framework that flattens and converts tree structured data into structured data, while maintaining the information of architecture and the composition of XML format. To gain more information from event logs, converting into structured data from semistructured format grants more ability to perform variety data mining techniques and statistical test. Keywords: Flatten Sequential Structure Model, XML Format Event Logs, Data Mining, Statistical Analysis.
Estimation of Harvest Time of Forage Sorghum (Sorghum Bicolor) CV. Samurai-2 Using Decision Tree Algorithm

Efforts to improve feed quality by adding additional nutritional supplements can increase production costs due to the increased concentrate prices. Therefore, one option is to combine the main feed with forages containing a high protein source at a low cost, such as Gramineae (e.g., sorghum). This study aims to estimate the harvest time of sorghum when the biomass content, nutrients, and digestibility for livestock are in good condition using a machine learning algorithm, namely a decision tree. The stages of this study include the collection of observation data in the field, preprocessing, modeling, evaluation, and validation. Images and field observations are the primary datasets used. These datasets become the model input for the decision tree algorithm. The results of this study are the classification model for estimating harvest time with an accuracy of 98.86% and the rule that is generated by the decision tree model, the right time to be harvested are in the condition (Day After Planting > 77.5 days AND Day After Planting ≤ 84 days AND Diameter > 26 mm) or (Day After Planting > 84 days AND Height ≤ 138.5 cm AND Leaves > 8.5 pieces) or (Day After Planting > 84 days AND Height > 138.5 cm). In conclusion, the rule generated from the decision tree algorithm can help estimate the fast harvest time of sorghum bicolor cv. Samurai 2.decision tree
Technology and Innovation in Organizations Using Fuzzy Systems

The economic importance of SMEs in the world is transcendental, since the union of their local profits generates global benefits; however, managers do not know how to visualize their problems to implement automated processes. There are solutions on the market, but they are expensive and with unnecessary modules that are not useful for SME leaders. Systems based on fuzzy models provide technology that allows, through Fuzzy Cognitive Maps (FCMs synthesizing problems and show solution strategies; In this case, the problems became Items in an FCM to simulate the entry and exit of causes and effects in the company, converted into proposals for automated processes.
Analysis and Prediction of the IPv6 Traffic over Campus Networks in Shanghai

With the exhaustion of IPv4 addresses, research on the adoption, deployment, and prediction of IPv6 networks becomes more and more significant. This paper analyzes the IPv6 traffic of two campus networks in Shanghai, China. We first conduct a series of analyses for the traffic patterns and uncover weekday/weekend patterns, the self-similarity phenomenon, and the correlation between IPv6 and IPv4 traffic. On weekends, traffic usage is smaller than on weekdays, but the distribution does not change much. We find that the self-similarity of IPv4 traffic is close to that of IPv6 traffic, and there is a strong positive correlation between IPv6 traffic and IPv4 traffic. Based on our findings on traffic patterns, we propose a new IPv6 traffic prediction model by combining the advantages of the statistical and deep learning models. In addition, our model would extract useful information from the corresponding IPv4 traffic to enhance the prediction. Based on two real-world datasets, it is shown that the proposed model outperforms eight baselines with a lower prediction error. In conclusion, our approach is helpful for network resource allocation and network management.
Development of “ARCIL” Media in Prehistoric Culture Materials for Junior High School Students

the purpose of this research and development is to produce learning media that are real, concrete, and interesting using augmented reality (AR) technology on learning material that contain pre-literate cultural products. This research and development uses ADDIE instructional design from the RnD method with five stages namely analysis, design, development, implementation, and evaluation. The data obtained is quantitative and qualitative data. Research instruments in the form of closed questionnaires with a level scale of 1-4 to obtain quantitative data and open questionnaires to obtain qualitative data about product usage advice. The results of the study show that, media eligibility based on the assessment of linguists obtained a 90.625%, material experts obtained a 94.12%, media experts obtained a 97.62%. Media practicality tests based on user responses by education practitioners gained a 90.91% and by students obtained a 90.58% score. Based on the results of the study, ARCIL learning media is very valid and practical to use in the learning process. There are several suggestions for further research, namely, (1) Adding other types of prehistorical culture results that are more diverse, (2) Provide variations in the form of other learning materials that are more diverse, (3) The addition of audio explanations so that students better understand the explanation of the material presented.
Cyber-Theater as Another Dimension of Communication in Contemporary Performing Arts

The relevance of this study is due to the expansion of various concepts of cyber-theater in the contemporary performing arts. The examples of the stage embodiment of cyber-drama and digital-performances prove that each stage work raises extraordinary artistic issues, and each technological innovation is accompanied by the emergence of the new audience opportunities and competencies. However, due to the fact that communication between the creators of the super-modern stage content and the ordinary viewers currently isn’t sufficiently arranged, there are gaps in the perception of the artistic messages, difficulties with the audience’s empathy for the events and actors of cyber-drama and digital-performance. The authors aimed to explore the communication barriers associated with cyber-theater performances and to present ways to solve problems in this context. The following methods were used: complex analysis and synthesis, comparative and descriptive methods, technique of communicative approach. Peculiarities of creating cyber-drama and organization of digital-performance are revealed, similarity, difference and interdependence of their means of expression are characterized. The tendencies of further development of cyber-theater and cooperation between its creators and the audience are determined. Various studies in the field of creative industry on the impact of the effectiveness of the audience’s perception of cyber-theater performance are analyzed. As the results of the research, the emblematic digital-performances of the 2010s are described, the effectiveness of various artistic proposals at this stage and possible directions for further development of the industry are determined.
Does Learning Orientation Drive New Product Competitive Advantage and Success? A Conceptual Framework and Research Propositions

Since so many new products fail in the marketplace after their launch, identifying the determinants of new product competitive advantage and performance is critical. New product development (NPD) requires the acquisition, dissemination, and utilization of information that is supplied through organizational learning. Learning-oriented organizational cultures facilitate discovery and creativity processes that go into the NPD. In spite of its significance, the concept of a learning orientation has not been explored sufficiently at the project level in the NPD context. This study aims to fill this void in the literature by articulating a conceptual framework that depicts the direct and indirect relationships between organizational learning orientation and new product competitive advantage. Memory level and memory dispersion mediate the relationship between these two constructs at the project level. The evidence supporting the proposed research framework suggests that learning-oriented organizations create strong organizational memories that lead to higher levels of new product competitive advantage and success. The theoretical and practical implications of this study are discussed and future research suggestions are provided.
UVMS task-priority planning framework for underwater task goal classification optimization

This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwater vehicle manipulator system (UVMS) in a complex marine environment. The design framework aims to divide the complex underwater operational tasks into UVMS executable generic task combinations and optimize the resource consumption during the whole task. In order to achieve the corresponding underwater task settings, the system needs to satisfy different task scheduling structures. We consider the actual application scenarios of the operational goals and prioritize and define each category of task hierarchy accordingly. Multiple tasks simultaneously enable fast adaptation to UVMS movements and planning to complete UVMS autonomous movements. Finally, an underwater vehicle manipulator system implements the task prioritization planning framework for a practical scenario with different constraints on different goals. We quickly and precisely realize the interconversion of different tasks under goal constraints. The autonomous motion planning and real-time performance of UVMS are improved to cope with the increasing operational task requirements and the complex and changing practical engineering application environments.
Ethical Consciousness of University Students in the Context of Postmodernism

The article describes theoretical views on the development of ethical consciousness in Ukrainian university students in the context of postmodernism, using the data from quasi-experimental psycho-pedagogical measurements. The article aims to specify the process of developing structural components of ethical consciousness in Ukrainian university students, who de facto (culturally and socially) are still gaining the experience of late postmodernity. The following methods were used at the propaedeutic, quasi-experimental and resumptive levels: theoretical-methodological analysis of relevant scientific-methodical sources; selection of relevant diagnostic methods; modelling of educational conditions; psychodiagnostic methods; methods of mathematical statistics; summarization. The necessary data were collected, with the observance of all ethical norms, at the premises of Ukrainian higher education institutions, with the participation of 280 students-respondents (Years 1-5) who major in the humanities and technology. The obtained results indicate a rather uneven personal development of students under all structural components of ethical consciousness. The main part of the article, as well as conclusions, clarifies the components of ethical consciousness, their dynamics and dependence on one’s worldview and experience. The international relevance of the article lies in objectifying ethical consciousness of young people in the post-totalitarian environment. It will allow one to evaluate the interaction between traditional and postmodern systems, justify the prospects of such categories as “meanings” and “values” in the belated postmodern society. The results of the article may influence the modelling of the character-building component in new education systems in the post-cultural society.