Reviewerly/exHarmony huggingface dataset:
The Effect of Comparison of Polypropylene Plastic Waste Composition and Paper Sludge On Fiber Reinforced Composite Panels of Sugarcane Bags on Mechanical Properties

Indonesia's landfills contain 15% of plastic waste. Of the total plastic waste, some are recycled and stored in the TPA. The remaining unmanaged will be wasted into the environment. Therefore, it is necessary to utilize waste so that it does not damage the environment, for example the use of waste into composite boards. Composite board made from polypropylene plastic wastepaper sludge and bagasse fiber. This study aims to see the effect of the composition of polypropylene plastic waste and the effect of paper sludge composition on the mechanical properties of composite panels. Composites are made using the hand lay-up method. The compositions used varied, namely 60% polypropylene plastic waste: 40% paper sludge, 50% polypropylene plastic waste: 50% paper sludge, 40% polypropylene plastic waste: 60% paper sludge with 2% bagasse fiber. Based on the results of research on the composition of polypropylene plastic waste of 60% and paper sludge composition of 40%, the highest tensile strength, compressive strength and hardness values were 11.86 N/mm2, 21.54 MPa and 6.33 HV. And the composition of plastic waste polypropylene by 40% and composition of paper sludge by 60% obtained the lowest tensile strength, compressive strength and hardness of 1.23 N/mm2, 9.77 MPa and 4.53 HV. From this study, it can be concluded that if the composition of polypropylene plastic waste is used more and more and the composition of paper sludge used is less, the value of mechanical properties will be higher. The value of the mechanical properties produced has met SNI
AN INDEPTH ANALYSIS OF CATEGORIZED MINING ALGORITHMS FOR OPINION MINING

Today's information and ideas can't be shared without social media. A person's day-to-day life is significantly affected by their emotional impact. An ecosystem that generates millions of bytes of data daily makes sentiment analysis essential for interpreting these enormous amounts of data. Sentiment analysis, a type of text mining, finds and extracts personal information from various sources, allowing businesses to monitor social sentiment about their brand, product, or service. Simply put, sentiment analysis enables one to ascertain the author's perspective on a topic. Writing is categorized as either positive, neutral, or negative by the software for sentiment analysis. With the help of deep learning algorithms and natural language processing functions, written or spoken sentiments about a topic can be better understood This work uses various machine learning algorithms to conduct sentiment analysis on "tweets." The predominant sentiment will determine the label given to a tweet if the tweet only contains positive, negative, or neutral elements. The study will attempt to classify the tweet's polarity as positive, negative, or neutral.
IMPROVING STUDENTS’ READING COMPREHENSION ON NARRATIVE TEXT BY USING STORY FACE STRATEGY

AbstractThis research aimed to improve students’ ability to comprehend narrative text by using Story Face as the strategy, especially to improve students’ ability in identifying details of story elements, and understanding the meaning. The writer applied Classroom Action Research for this research. This research was conducted in three cycles of meetings and the subject of this research was the eighth grade students of SMPN 3 Sambas, in Academic Year 2018/2019. There were 24 participants attending the process and during the process, it was found out that the students were excited and active in the class. The data revealed that the students improved their ability to comprehend the reading elements of narrative text in identifying details of story elements and understanding the meaning. Students avarage score in the first cycle was 73.75 mean score then improved to 83.04 in second cycle, and then became 83.47 in third cycle.The conclusion is that the use of Story Face Strategy improved students’ ability to comprehend narrative text, especially in identifying details of story elements and understanding the meaning of text. Beside that, the use of Story Face Strategy also increased student activities in reading process.Keywords: Story Face Strategy, Narrative Text, Reading Comprehension
Resilience Monitoring for Multi-Filter All-Source Navigation Framework With Assurance

<h3>Summary</h3> The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of filters (known as <i>subfilters</i>) to provide a resilient, fault-resistant all-source navigation architecture with assurance. A critical assumption of this architecture, demonstrated in this paper, is fully overlapping state observability across all subfilters. All-source sensors, particularly those that only provide partial state information (altimeters, TDoA, AOB, etc.), do not intrinsically meet this requirement. This paper presents a novel method to monitor real-time overlapping position state observability and introduces an observability bank within the ARMAS framework, known as stable observability monitoring (SOM). SOM uses a monitoring-epoch stability analysis to provide an intrinsic awareness to ARMAS of the capabilities of the fault detection and exclusion (FDE) functionality. We define the ability to maintain consistent all-source FDE to recover failed sensors as <i>navigation resilience</i>. A resilient FDE capability is one that is aware of when it requires more sensor information to protect the consistency of the FDE and integrity functions from corruption. SOM is the first demonstration of such a system for all-source sensors that the authors are aware of. A multi-agent 3D environment simulating both GNSS and position and velocity alternative navigation sensors was created and individual GNSS pseudorange sensor anomalies are utilized to demonstrate the capabilities of the novel algorithm. This paper demonstrates that SOM seamlessly integrates within the ARMAS framework, provides timely prompts to augment new sensor information from other agents, and indicates when framework stability and preservation of all-source navigation integrity are achieved.
Pengaruh Model Pembelajaran Problem Based Learning terhadap Hasil Belajar Siswa pada Tema 1 Subtema 1 di Kelas III SD Negeri Percontohan 091317 Pematang Raya

The Effect of Problem Based Learning Learning Model on Student Learning Outcomes in Class III SD Negeri Pilot 091317 Pematang Raya. manuscript. UHKBPNP University Primary School Teacher Education and Education Studies Program. Advisor I Lisbet Novianti Sihombing, S.Pd., M.Pd and Advisor II Eva Pasaribu, S.Pd., M.Pd. This research will be conducted to find out whether the results of the Problem Based Learning Learning Model are consistent with student learning outcomes. This type of refining is a quasi-experimental which involves two lobes treated with pekkaduan berda. The population in this study were third grade students of SD Negeri Pilot 091317 Pematang Raya and two classes were selected by cluster random sampling as the research sample, namely classes IIIA and IIIB. Class IIIA is the experimental class that uses the Problem Based Learning Expenditure Model, while class IIIB is the control class that uses conventional belebajang. The research instrument used for learning ability. The data that has been built using the instrument was analyzed using technical descriptive statistics and inferential.
GOOGLE MEET APPLICATION AS A TEACHING LEARNING PROCESS MEDIA

ABSTRACT: This study investigates Google Meet application to be used as a teaching learning process in Institute Agama Islam Ngawi, the research design of this study qualitative approach and the research was A case study. The participants of the study were lecturers and students in Institut Agama Islam Ngawi. The result of this study Google Meet could be used as alternative media to teaching learning process during pandemic Covid - 19 although it was going quite difficult because the tools were not prepared and checked.
Investigating Civil Engineering Students' Vocabulary Learning Strategies at Ambon State Polytechnic

This research aims to investigate the use of vocabulary learning strategies used by D3 civil engineering students. This study was descriptive quantitative design and employed survey design. Vocabulary Learning Strategies (VLSs) questionnaire adopted from Puangsang (2018) was the main instrument in collecting the quantitative data. The data analysis shows determination strategies (M=3.32) is the most used strategies and followed by metacognitive strategies (M=3.05), memory strategies (M=2.87), social strategies discovery (M=2.78), cognitive strategies (M=2.56), and social strategies consolidation (M=1.82)
Using The Python Library to Create Simple Game Animations

The development of the game world which has recently been growing rapidly, has aroused the interest of some young people, to become a Maker Game (Game Developer), why this job is in great demand because it looks very cool. Maybe it has crossed our minds when playing games on PC or Mobile how they can make this game. As for Python, it is not only used for programming using Machine Learning models, but also for making games, even the well-known game engines that are commonly used to create complex 2D/3D games such as Unity use Python as a programming language other than C# or C++. Python is the most popular programming language or it would not hurt to say that it is the next generation programming language. In every emerging field in computer science, Python is actively present. Python has an extensive library for various fields such as Artificial intelligence (Pytorch, TensorFlow), Machine Learning (Numpy, Pandas, Matplotlib) and Game development (Pygame,Pyglet). In this opportunity, we will know a little about creating a simple game using the Pygame library (Python library). Pygame is a Python module that is designed for game application development. Pygame is one of the most used libraries/modules. This advantage of pygame allows us to create a game with complete features. Pygame is portable, can run on almost all operating systems. To note, Pygame has been downloaded more than a million times, and millions of visits to the official website. Pygame is released by the GNU General Public License (GPL) so that we can make a game application that is free, open source, shareware, freeware and commercial games. Learning python, of course, must be done gradually and focus on areas of learning that are of interest because of the large number of python modules or libraries with their functions and uses. To become a game developer, we must know the basics of making games, one of which is how to create animations on a game object. Making this game animation only revolves around how to make an object consisting of sprites or several images into animation and use the up, down, left and right arrow keys to move the object. The objects in the game consist of objects commonly called player and opposite.
THE СRISIS OF CULTURE IN THE CONTEXT OF TECHNOLOGY DEVELOPMENT

The relevance of the article is due to the aggravation of contradictions in the development of technology in the conditions of modern civilization. Despite the large number of publications devoted to the crisis of modern culture, the influence of technology on this phenomenon has not been studied enough. This problem is reflected in the works of the French philosopher Gilbert Simondon. The thinker noted that in the process of development, technology covers all spheres of human existence, including thinking and spiritual life. The article analyses various aspects of the contradictions between technology and culture that manifest themselves in modern society. The crisis state of culture is due to the fact that the goals of technology development take priority, subordinating the tasks of human improvement.
An analysis of Speech Function Used by SEA Today News’ Speakers to Present Indonesian Perspective to the World

Abstract&#x0D; People use language to communicate. While communicating, people have their own ways to deliver their ideas. The language they used is constructed differently based on their own purposes. This research was conducted to study this phenomenon. It aimed at analyzing the speech function used by SEA Today News’ speakers to present the Indonesian perspective to the world. The data were collected from SEA Today News YouTube videos and were analyzed using a qualitative method. The analysis was formulated systematically to answer these two research questions: 1) What speech function categories are found in the Sea Today News video? and 2) What are the purposes of using those speech functions found? The results show that the four speakers in the SEA Today News video used all the speech functions related to their purposes. The most used speech function is ‘statement’ that revealed that the main purpose of the speakers in the SEA Today News video was to 'share information about the topic they discussed, Batik. Furthermore, it was also found that the four speakers in the SEA Today News video respond to each other’s utterances positively with no misunderstanding at all. It indicates the good communication that happens between the speakers.
ECOBY TECHNO SYSTEM, ORGANIC WASTE MANAGEMENT INTO ECO-ENZYME PRODUCTS TO SUPPORT ZERO WASTE INDONESIAN MARKET

Garbage is one of the important factors that can damage the balance of the environmental ecosystem. The market is a place for the economy, but the market is one of the largest producers of waste, accounting for 24% of the total waste. Most of the markets in Indonesia are still traditional markets which are slum, muddy, with a lot of garbage scattered about and have a bad smell. This pile of garbage causes various problems, ranging from health problems, air, water and soil pollution. Garbage has the potential to contribute to increasing greenhouse gas emissions. One way to minimize this problem is to implement a community-based waste management program, especially vegetable and fruit traders, by converting market organic waste into Eco-enzyme products. Eco- enzyme is a solution of complex organic substances produced from the fermentation process of organic waste, sugar, and water. Some of the benefits of Eco-enzyme are as a multipurpose cleaning fluid, a liquid to keep fruits and vegetables fresh, air purifier, plant fertilizer, pest repellent, and preserving the environment. From the waste management problem in the market and as an effort to achieve the goals of SDGs goals 12, we came up with a solution idea, namely "Ecoby Techno System, Organic Waste Management Into Eco-enzyme Products To Support Zero Waste Indonesian Market." Ecoby Techno System is a center for managing market organic waste into Eco-enzyme products by utilizing the Internet of Things (IoT). The application of the Ecoby Techno System can save costs, time and energy so that market waste management does not burden the regional or central government budget. The implementation of this system can support the government to realize a zero waste Indonesian market.
The artwork as a part of the artist’s biography

The thesis objective is to confirm the mutual relation of biographic events and the master’s artistic achievements, as well as to justify the viewpoint of opuses being a considerable part of biography. The research methodology is based on implementing a range of the following approaches: analytical – by grasp of the sources referring to the thesis issue; interdisciplinary – by obtaining innovation data on the chronicle discourse issues; systemic – by comprehensive reviewing the problematic field under consideration; biographic – by studying various aspects of the author’s existence; culture studies – by considering the links between social, mental phenomena in the personality’s individual history; hermeneutic – by explaining the chronicle’s content; theoretic generalization – by summarizing the key research positions, and some others. The scientific novelty lies in the fact that for the first time ever in national humanitarian studies the artistic pattern is identified as a structural component of the artist’s chronicle. Conclusions. The master’s biography is a specific form of representing and interpreting his life and creativity conception brought through the prism of civilization processes, personal concern, civil heritage. The genre fixes the most essential domains of an individual’s existence and represents the creative, existential and axiological paradigm. The master’s achievements reflect the predominant ontological concepts and stand out as a significant chronicle constituent. An opus is a mental artifact, a multi-component text expressed with specific (verbal, sound, color, symbol, image-bearing) language reproducing various time dimensions of homo sapiens existence (the past, the present and the future), thus creating cultural, national, sense polyphony. The master’s activity reflects the key results of reconsidered private complications and reveals significant social, political, civil and other events. Due to this, they stand out as a constructive unity of not only the artist’s biography but also of a certain environment, country, era, etc.&#x0D; Key words: the master’s biography; an artwork; the author; the recipient.&#x0D;
Transposition of English Zero Derivation from Nouns to Indonesian Verbs in to Kill a Mockingbird

The research aimed to discuss and analyze the translation of English zero derivation or conversion from nouns to Indonesian verbs using transposition strategy. The research was carried out through the qualitative method by having the constant comparative analysis whose data were collected from Harper Lee’s novel ‘To Kill a Mockingbird’. The data collection was obtained by sampling to support the description based on the classification, including morphological and syntactic categories. The findings show an obvious difference between source and target languages. This occurs when the translation of English zero derivation relies on the affixes more frequently than any other criteria. Furthermore, the overall result proves that the transposition of English conversion from nouns into Indonesian verbs can be analyzed from the verb base that can be converted into nouns, which is then called a deverbal noun, and the noun base that can be converted into a verb. The translation of English zero deverbal noun is possible to be transposed into the target language verb. In a part of formal properties, the identification of English verb base converted into noun could be characterized by the irregular verb, stress pattern, intransitive verb, and semantic complexity, at the same time when the English noun base is transposed into Indonesian verb by considering the verbal interpretation and frequency of occurrence.
Engineering a platform for reinforcement learning workloads

Reinforcement Learning (RL) is an area of machine learning concerned with teaching intelligent agents to take desired actions in a specific environment. The teaching part can be performed in a simulated environment where the agent can learn how to react to the (simulated) current state in order to reach a desired state. Offering Reinforcement Learning as a service with stringent reliability and scalability requirements, entails a set of challenges at both the architectural and implementation level. In this paper we present the Bonsai platform for RL workloads. We discuss the requirements, design and implementation of the Bonsai platform.
Design and Implementation of the High-Quality Course Website Based on Java and MySQL

The high-quality course website based on Java and MySQL is designed and developed on the basis of JSP, Servlet and Java Bean, using MySQL database and Tomcat server technology.This paper first studies the relevant successful Java Web cases, then analyzes the detailed system requirements of the boutique course network according to the use needs of teachers and students, and finally designs functions, processing logic, and writes module code according to the analysis results.
Analisis Kebutuhan Tenaga Perpustakaan Di Perpustakaan UIN Raden Fatah Palembang

This study aims to determine the number of human resources needed by the library of UIN Raden Fatah Palembang. This research was conducted using a quantitative descriptive method. The data is processed by referring to Law Number 43 of 2007 concerning Libraries and the Regulation of the Head of the National Library of the Republic of Indonesia Number 26 of 2017 concerning Guidelines for the Preparation of the Functional Position Formation of Librarians. The results of this study indicate that the ideal number of librarians in an agency is 24 people. Meanwhile, the number of librarians in the central library of UIN Raden Fatah Palembang is only 4 people. So it is recommended that there is an increase in the number of librarians who have a D II, D III and D IV background or a bachelor (S1) in Library Science.
Language Use of The Community of Drugs Abuse in Sinjai District, Sociolinguistic Study

The use of language among drug abusers community. The distribution and incidents of drug abuse currently become a matter of great concern in our country. In practice, a community of drug offenders who have become convicts uses specific languages in carrying out their actions. Of course, the use of that language has its purpose. Departing from this phenomenon, sociolinguistic research is needed to describe and explain the classification, meaning of language, and the purpose of language use. This study used a language variety theory design in sociolinguistics with a qualitative descriptive method. The results of this study described seven language classifications and meanings of community language, Besides, there is a certain use of secret language from the community of drug abusers, namely as a means of communication in the community and protecting the community from access by other people or other groups.&#x0D; Keywords: Community Language, Drug Abusers, Sinjai
A Model Approach to Understanding Monetary Aggregates Growth in Sierra Leone and Implications for Policy Formulation

This study has adopted a model approach to developing an understanding of monetary aggregates (MA) growth in Sierra Leone, which certainly has implications for effective policy formulation by the central bank authority. In pursuance of this, we utilized the Autoregressive Moving Average (ARIMA) model with data spanning 2002M1 to 2021M12 to investigate the out-of-sample projection performance of the disaggregated components that makes up the MA for Sierra Leone – typically in this case Reserve Money (RMA), Currency-in-Circulation (CiC) and Reserve Money (RM). In our evidence from the empirical projection (covering the period 2022M1-2022M12), we observed that RM is projected to grow more than CiC over the observed period. Given RM being the operational target of the Bank of Sierra Leone, we believe that such an outcome is a promising indication particularly in ensuring the bank addresses its core mandates of monitoring price and financial stability. The increased scope of RM in the BSL system is a laudable outcome when it comes to meeting reserve requirements and also managing risks about price and financial stability. The study recommends that the BSL adopt innovation strategies concerned with FinTech and the emergence of the National Switch to effectively manage the MA portfolio in the entire banking system, which will also support the overall growth ambition of the central government.&#x0D;