Reviewerly/exHarmony huggingface dataset:
A Study on Sentimental Analysis of Novels and Shakespeare’s Play

Abstract: The current work is a sentimental analysis study of Shakespeare's play, depicting the character-to-character analysis. The emotional sentimental analysis of Harry potter’s novels is also analyzed. The current work exemplifies a complete evaluation of the techniques required for sentimental analysis, as well as their practical application. Because of the planned discourse of this literary format, it is possible to make assumptions about who is taking part in a conversation. Once it is known to whom a character is speaking, the emotions in his or her speech can be assigned to that individual, enabling for the generation of lists of a character's foes and allies as well as the pinpointing of situations crucial to a character's emotional development. In addition, the Serendio group's framework for estimating utilizing dictionary-based methods is employed.
Teacher Directive Speaking Actions in Online Indonesian Learning

This study aims to describe the form of teacher directive speech acts in the online Indonesian language learning process in one of the junior high schools in West Sumatra.The data collection techniques used in this study were recording techniques and note-taking techniques.The data analysis techniques consisted of (1) transcribing the teacher's directive speech acts in the online teaching and learning process that had been recorded, (2) taking an inventory of the directive speech acts used by the teacher. in one of the junior high schools in West Sumatra during the learning process, (3) classifying the data based on the form of speech acts, (4) analyzing the data based on the form of directive speech acts and (5) inferring the data based on the results of the study.The results showed that the form of the Indonesian language teacher's directive speech in one of the junior high schools in West Sumatra in the learning process included the speech act of requesting requests, the speech act of requesting praying, the speech act of requesting inviting, the speech act of asking questions, the speech act of probing questions, the speech act of requirements.to command, requirements speech act to direct, prohibitive speech act to prohibit, permissive speech act to allow, advisories speech act to suggest, advisories speech act to encourage.
IMPROVING CITIZENS LEARNING OUTCOMES IN DIVERSITY MATERIALS THROUGH EXAMPLES NON EXAMPLES LEARNING METHODS

AbstractOne of the problems in the world of education today is the low quality of education caused by several factors including the low quality of learning caused by the ability of teachers who are still lacking, not using methods that are in accordance with the material being taught, an evaluation system that is not appropriate, and the ability of teachers. The purpose of this Classroom Action Research (CAR) is to determine the extent to which learning through examples non-examples learning methods can improve the learning outcomes of grade VII A students at SMP Negeri 5 Sungai Raya. This research was carried out in 2 cycles. The Learning Methods Examples Non Examples technique is proven to be able to improve students' poetry writing skills in Indonesian lessons by reaching the KKM standard of 70. From 64.62% in cycle I, it can increase to 78.70% in cycle 2. The results of this action research indicates that the examples non examples learning method is useful and can improve students’ learning outcomes in Civics subjects in class VII A at SMP Negeri 5 Sungai Raya. Keywords: Learning Methods Examples Non Examples, Learning Outcomes
Ability to Learn Indonesian Language Through Online Zoom Application System in SMP Negeri 14 Medan

Indonesia is currently faced with the challenge of the Covid-19 pandemic, in which the government urges the Indonesian people to stay at home. So that learning activities that were originally carried out face-to-face turned into non-face-to-face learning. This study uses descriptive research methods with qualitative analysis techniques. The purpose of this research is to reveal events or facts, circumstances, phenomena, variables and circumstances that occurred during the research by presenting what actually happened. This study uses descriptive research methods with qualitative analysis techniques. The instrument in this study was a questionnaire that was proposed to the sample. With a total of 20 questions, each question is given a score of 5 so that the highest score in this test is 100. The results of this study are the implementation of online learning in class VIII AD SMP Negeri 14 Medan is less effective, especially in learning Indonesian, because in the implementation of online learning students only given the task of working on evaluation questions and only occasionally practice, and the teacher does not know whether the students really understand or not. Considering that students study at home accompanied by their parents or guardians, it is possible that students' assignments are assisted by their parents or guardians.
ANALYSIS AND EVALUATION OF THE DRAINAGE NETWORK SYSTEM IN THE HOUSING AREA OF VILA RIZKI ILHAMI 2 SAWANGAN, DEPOK-WEST JAVA

&lt;p&gt;The impact that occurs from the rampant development of residential areas will certainly make the volume of surface water flow or run off become large. Drainage is a system created to deal with the problem of excess water flow that is above the surface of the earth, some of the things that cause excess water are caused by high water intensity and the long duration of rain. In this study, the problem that occurred was in the drainage network in the residential area of Vila Rizki Ilhami 2 Sawangan, which was a transfer of land functions from infiltration land into a residential area. Evaluation that must be done is covering hydrological analysis and hydraulics analysis to get the amount of flood discharge plan that will be used to analyze the capacity of the planned channel so that no flooding occurs at the location of the settlement area when the settlement is built, recommendations for drainage system design and determine the size of the river dimension / size / times that should be made when accommodating water discharge during maximum rain so that the flood control system can be well integrated. With 3 methods of calculating rainfall, the method of calculation is selected using the gumbel method which is SNI (Indonesian National Standard) with a return period of 2 years, 5 years and 10 years. From the evaluation obtained is to add height height or free board to accommodate flood discharge plan.&lt;/p&gt;
Cross-Curricular Connections and Knowledge-Transfer Elements in Data Management

In this study, we present the items and the results of a complex task in which the data management knowledge of students was measured in the 2018 academic year.Our results obtained from statistical analyses are in line with previous studies that analyzed informatics/computer science coursebooks and concluded that current books favour surface-based approaches and consequently, are unsuitable for developing students' computional thinking skills.Furthermore, our study found evidence that contrary to Prensky's unproven claim, digital children also need teachers' support in spreadsheet environments to learn effective computer problem-solving strategies, avoid common spreadsheet errors, and acquire basic algorithmic and programming skills.Our results, clearly show that the widely accepted low-mathability approaches should be excluded from the teaching-learning process due to their ineffectiveness, and should be replaced by highmathability approaches, which support knowledge-transfer, effective end-user computing, and introductory studies to "serious" informatics/computer sciences.
SENIOR AS ELECTOR AND E-ELECTOR IN COVID 19 PANDEMIC

The aim of the study is to show the senior as a voter and ICT user in particularly difficult conditions of the threat caused by the Covid 19 pandemic. The studies conducted in twenty seven countries and other studies from August 2020 showed that seniors and men are most exposed to the effects of the disease. This article assumes that e-voting is a safe election solution in a pandemic. Digital divide is a factor that still remains correlated with the age of citizens, even in countries considered technologically advanced. As older voters express more confidence in traditional forms of voting, their attitude slows down the implementation of e-voting in electoral systems. It can be seen that the conservative worldview goes hand in hand with the distrust of seniors in e-voting.
Android Educational Game for Criminology Students

The researcher developed an app for Criminology students; the focus of this project is to provide them with a mobile educational game that could help them boost their mental awareness on topics and knowledge in the field of criminology. Target users are criminology students. Moreover, the user of this game will be addressed by the proponent to develop this system. Thus, it develops an android game application dedicated to criminology students. Promote criminology students’ knowledge and awareness in a more intuitive and enjoyable way and create and establish a 100% functional android-based application. The programming language used was JAVA, which is specialized in mobile game development. The integrated development environment (IDE) used was Eclipse JUNO, a standalone programming environment that is suitable for the coding structure and interface design of the developed system. A graphic editing tool was also utilized to further enhance the objects used in the game. The finished app was tested using the android tablet model Cloud pad 701 TV having Android 4.2.2 version firmware. The Codified Project Management Framework was then used in the development of the project. Based on the result of the Interface of the system obtained, the Android App concept for criminology students is effective and excellent. It was further recommended that the developed app still be reviewed thoroughly in terms of its data content validity. It was also recommended that the system will be developed further for more additional features.
Exposure of Gender Equality through Children Stories for Students of Kranggan Lembur Mandiri Kindergarten, Jatirangga, Bekasi

This community service activity aims to expose students to understanding the concept of gender and gender equality in order to minimize oppression, discrimination and bullying that mostly occurs against girls. This activity also aims to improve students' understanding of the value of character education and positive attitudes. The partner of this community development are students and teachers of Kranggan Lembur Mandiri Kindergarten, Jatirangga, Jatisampurna District, Bekasi. This community service activity is carried out through the method of assisting story reading, designing syllabus of story reading based on thematic reading, and providing material in the form of children's story books, as well as making children's story telling videos about gender equality, which can be used for students' independent learning. Monitoring and evaluation activities are carried out through observation and interviews. This activity helps improve students' understanding of the role and empowerment of women through education, enrichment of character and positive attitudes on gender justice (can work together, competence, active, empathize, problem solving), improve linguistic competence and visual literacy (recognition of colors and images), and also understanding of cultural literacy through children's stories containing local Indonesian culture and gender perspective.
Method for Denoising Hyperspectral Images Based on Low Rank Theory-Sparse Representation

Various methods for denoising noisy hyperspectral images have been proposed, but the performance on key indices shows that there is still room for improvement. Here, we propose a new denoising method for noisy hyperspectral images based on low-rank theory-sparse representation: standard deviation of the noise is estimated through singular value decomposition (SVD) on spatial-spectral joint matrix, and the low-noise matrix is extracted through principal component analysis (PCA) for spectral information decorrelation and information fusion. The low-noise data are sparsely filtered through the KSVD algorithm. Experimental results show that our model denoises excellently on hyperspectral images containing noise with different standard deviations, and the PSNR indices are 5-10 dB ahead of the compared algorithms, showing great potential to optimize the expression of hyperspectral data.
IMAGE ENHANCEMENT ON OBJECT DETECTION USING L0 GRADIENT PRIOR

Object detection is a technique used to retrieve certain parts of the image. The part can be in the form of scenery, people, or other objects. At the time of object detection, the image obtained can experience a decrease in image quality which can be caused by weather factors, namely fog, smoke, dust, rain, and others. A decrease in the quality of the image can result in errors in classification and the inability to recognize objects in the image. Therefore, the process of improving image quality becomes very important to do at the pre-processing stage in detecting image objects. The focus of the problem to be solved in this study is the return of a blurred image using L0 Gradient Prior. The results showed that the application of L0 Gradient Prior in restoring a blurred image can increase the number of objects that can be detected by the object detection system.
THE INFLUENCE OF SELF-EFFICACY ON JOB PERFORMANCE OF EMPLOYEES IN THE ONLINE RETAIL SECTOR IN MALAYSIA – THE MEDIATING EFFECT OF INNOVATIVE BEHAVIOUR

Fundamentally, all employees can recognise the objectives they want to achieve and plan changes they want to implement in an organisation to attain better job performance. However, most employees also understand that commissioning these plans into reality is not easy. Psychologists have identified that workers' self-efficacy plays a significant role in tackling tasks and challenges in organisations. This research illuminates current situations regarding the significance of self-efficacy on employees' job performance in the online retail sector in Malaysia. A total of 511 employees attached to the online retail sector provided the data for this research. Additionally, in-depth literature was assessed, revealing the relationship between self-efficacy, innovative behaviour, and job performance. Moreover, the intervening effect of innovative behaviour on the relationship between self-efficacy and employees' job performance was also investigated to verify the research hypothesis. The findings of this research established a statistically significant relationship between self-efficacy and innovative behaviour as well as employees' job performance. Conclusively, the hypothesis is supported by data and illustrated that innovative behaviour statistically mediates the relationship between self-efficacy and employees' job performance in the online retail sector in Malaysia. This study also validates that employees who have high self-efficacy are willing to embrace innovative behaviour, which then leads to enhanced job performance. In conclusion, self-efficacy with the intervention of innovative behaviour can heighten the employees' job performance in the online retail sector in Malaysia.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0899/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Granularity in the Semantics of Comparison

This paper makes the novel observation that definite comparatives, such as the bigger circle, impose restrictions on the cardinality of the comparison class (CC) against which their truth conditions are evaluated. We show that the corpus frequency counts of definite comparatives sharply drop when the comparison class used for their interpretation is formed by more than two individuals. Two alternative theories of these distributional facts are considered and tested experimentally through an acceptability judgment task. According to the first theory, the 2-Individuals Theory, definite comparatives presuppose that the CC is of cardinality 2; under the second theory, the 2-Degrees Theory, the meaning of the comparative is evaluated against a granularity γ that maps the individuals in the CC to degrees in the relevant adjectival scale, and definite comparatives presuppose that the set of the degrees resulting from this mapping is of cardinality 2. Our experimental results show that definite comparative descriptions are most frequent and felicitous when evaluated against comparison classes with two individuals, but also that acceptability drops off with higher cardinalities in a gradient manner that is sensitive to granularity. Taken together, these findings argue against the 2-Individuals theory of definite comparatives and lend support to the 2-Degrees theory.
Kaija Saariaho and Her Laterna Magica

Nowadays Kaija Saariaho is one of the most successful composers in the field of contemporary classical music. A former student of Tristan Murail, she works in the direction initiated by socalled spectral composition, composing extremely colourful and poetic pieces that are highly appreciated by music critics. One of her orchestra compositions, Laterna Magica, based on the memoirs by Ingmar Bergman and commissioned by the Berliner Philharmoniker Orchestra, premiered in 2009 and became a hit — it was performed more than thirty times after the premiere. This successful piece is the main object of the analysis which is performed according to ideas of Saariaho expressed in her theoretical articles. One of the most interesting ideas about music form proposed by the composer is the idea of “polyphony of processes”, which means that different parameters of composition are realized in different schemes that do not intersect but act as separate phenomena creating an impression of both independence of the parameters and their interaction at the same time. Such parameters as rhythm, melodic ideas, application of text, tempos, textures and their combinations as well as orchestration and harmony have their own profile and are constructed according to different schemes. Besides music itself, a text by Saariaho written for the premiere of the piece is analysed and interpreted as a special case of a “composer’s vision” which shows specific angles in the author’s perception.
Connecting with Readers Through Conversational Style with Reference to Maya Angelou’s Letter to My Daughter

The style of literary writing is one of the major aspects that urge readers to pick out their works. Some famous contemporary writers have adapted conversational style. When their messages are carried out in conversational style, they are seen as partners in conversation with the readers. As a result, a strong connection is built among them and the message is easily conveyed. The study here, examines the impact of conversational style in literary works with reference to Maya Angelou's Letter to My Daughter. Through applying such style, the author exposes her personal thoughts and feelings to audience of different levels. The study also examines the different techniques used to effectively change from formal to conversational tone in literary works to go beyond the limit of sentences and words. It also emphasizes that such a style invites readers, but the authors must be careful to be sincere and not to lose their credibility. The researcher suggests that further studies of conversational style should be executed especially, with the vast spread of social media.
Integrating Numerical and Quantitative Techniques for Analysis of Large-Scale Biological data using Hyper-heuristic Algorithm

A major thrust in the field of computational intelligence is the ability to comprehend and interpret intelligence in combination with several research disciplines of computer science, biology, statistics, and cognitive science. The emergence of bio informatics is a two-fold manifestation of advance biology along with data mining and statistical learning that attempts to analyse and interpret a large collection of medical data. It aims at exploring facts about unknown patterns. This paper aims at providing a model that numerically analyses the existence of carcinomas in the genomic data sequence. Attempts have been taken to optimise the highly contributing factors using recent nature inspired algorithms like Emperor Penguin Optimization Algorithm (EPOA) and Chaotic Artificial Algae Optimization(CAAO). These algorithms are gaining popularity as they are capable of exploring global optimum instead of local optimum. The performance of these algorithms are judged by implementing it in seven benchmark datasets. To ensure a good potential of these new algorithms, we have made a comparative study with the capability of other indigenous optimization algorithms like PSO etc.
Writer Identification Based on Hand Writing using Artificial Neural Network

Humans are social beings who depend on social interaction. Social interaction that is often used is communication. Communication is one of the bridges to connect social relations between humans. Communication can be delivered in two ways, namely verbal or nonverbal. Handwriting is an example of nonverbal communication using paper and writing utensils. Each individual's writing has its own uniqueness so that handwriting often becomes the character or characteristic of the author. The handwriting pattern usually becomes a character for the writer so that people who recognize the writing will easily guess the ownership of the related handwriting. However, handwriting is often used by irresponsible people in the form of handwriting falsification. The acts of writing falcification often occur in the workplace or even in the field of education. This is one of the driving factors for creating a reliable system in tracking someone's handwriting based on their ownership. In this study, we will discuss the identification of a person's handwriting based on their ownership. The output of this research is in the form of ID from the author and accuracy in the form of percentage of system reliability in identifying. The results of this study are expected to have a good impact on all parties, in order to minimize plagiarism. Identification of handwriting to be built consists of two main processes, namely the training phase and the testing phase. At the training stage, the handwritten image is subjected to several processes, namely threshold, wavelet conversion, and then will be trained using the Backpropagation Artificial Neural Network. In the testing phase, the process is the same as in the training phase, but at the end of the process, a comparison will be made between the image data that has been stored during training with a comparison image. Backpropagation ANN can work optimally if it is trained using input data that has determined the size, learning rate, parameters, and the number of nodes on the network. It is expected that the offered method can work optimally so that it produces an accurate percentage in order to minimize handwriting falcification.
Student Literacy Trough Balinese Temple Brochures

Literacy is one of the essential factors that support students 'success in everyday life.Through brochures, the students could create meaningful activities during literacy sessions.This study aims at describing student literacy through Balinese temple brochures.The research was design using a qualitative approach.The subject of study were students in the third semester of Penerangan Agama Hindu study program, STAHN Mpu Kuturan Singaraja.The data were collected through observation, questionnaire, and interview.The result of the study showed that brochures were helpful to increase student's English skills.As well as the students would be able to enrich English vocabulary which is useful for their comprehension.The students also more realized that English can be beneficial for their future careers.