Reviewerly/exHarmony huggingface dataset:
Analisis Manajemen Keuangan Pendidikan di Sekolah Menengah Pertama Negeri 13 Kota Jambi

This study aims to provide insights related to educational financial management to readers, observers, academics, and educational practitioners to understand how educational financial management is analyzed from various perspectives related to junior high schools. This research was conducted at SMP Negeri 13 Jambi City Jl. H. Tomok, Tahtul Yaman, Pelayangan District, Jambi City, Jambi. The time this research was conducted was May 23, 2022. This research is a qualitative descriptive research, namely the research method used to examine the natural conditions of objects. Data collection techniques are triangulation (combined), data analysis is inductive/qualitative in nature, and the results of qualitative research emphasize meaning rather than generalization. The approach uses a qualitative approach, namely an approach that describes the data descriptively. The results of this study are that they already have funding sources from the central and regional governments. Expenditure posts have been directed according to the needs required by the school and always report to the relevant department every quarter. All forms of responsible reporting are transparent and accurate, as evidenced by various receipts that support each transaction made. With educational assistance from the government, it can lighten the burden on students in the pursuit of compulsory education, so with this assistance, activities in schools can run smoothly, effectively and efficiently
Tidal Flood Susceptibility Mapping and Community Adaptation Assesment in Semarang Utara District

North Semarang District is one of the areas that is often affected by tidal floods. This study will discuss flood distribution through tidal flood susceptibility mapping and identify adaptations. The first step is to carry out flood susceptibility mapping using DEMNAS data and sea tides. The second stage is to determine the key areas based on the tidal flood susceptibility map made. Key areas are useful for identifying forms of community adaptation to tidal floods through data collection in the form of observations and interviews. The mapping results show that the flood susceptibility area reaches 582.89 Ha or around 50% of the area of North Semarang District. The key areas with high susceptibility are settlements on Jalan Tambakrejo, Tanjungmas Village and it is known that the community responds by adapting patterns to changes in physical infrastructure, economic activity, and social development.
I Survived! Lived Experiences of Emergent Administrators in Braving the Challenges of Flexible Learning

The Covid–19 outbreak has brought critical changes in the educational context like the adoption of the flexible learning modality. This, among other educational changes, challenged learners, teachers, parents, and administrators in the performance of their functions. While various studies explored the lived experiences of students, teachers, and parents under the said modality, a dearth of studies ventured into the lived experiences of emergent administrators in rural places like the study’s context, the Ilocos Sur Polytechnic State College, Cervantes Campus, Cervantes, Ilocos Sur, Philippines; hence, this study. This employed the case study design to comprehensively understand the lived experiences of the emergent administrators in implementing the flexible learning modality. Findings revealed that emergent administrators have encountered several challenges which are sub themed as poor readiness for flexible learning modality, lack of resources to implement flexible learning, difficulty in monitoring/ supervising faculty, and lack of experience as administrators. However, it was also found that they have employed coping mechanisms against these challenges. These mechanisms are sub themed as continuing professional development, linkages, giving of constant reminders, and mentoring. Further analyses of these primary findings unleashed desirable attitudes sub themed as flexibility, resourcefulness, competence, and optimism. This means that because of the administrators` constructive attitudes, they were able to brave the challenges of flexible learning through their practical mechanisms. Hence, they survived and implemented flexible learning in the best way they can. These laid ways to the development of the framework dubbed as “Four Pillars of Resiliency” as a potential blueprint for emergent administrators whose context is similar to the study. The developed framework may be validated for utilization.
Multimodal Deep Learning with Discriminant Descriptors for Offensive Memes Detection

A meme is a visual representation that illustrates a thought or concept. Memes are spreading steadily among people in this era of rapidly expanding social media platforms, and they are becoming increasingly popular forms of expression. In the domain of meme and emotion analysis, the detection of offensives is a crucial task. However, it can be difficult to identify and comprehend the underlying emotion of a meme because its content is multimodal. Additionally, there is a lack of memes datasets that address how offensive a meme is, and the existing ones in this context have a bias towards the dominant labels or categories, leading to an imbalanced training set. In this article, we present a descriptive balanced dataset to help detect the offensive nature of the meme’s content using a proposed multimodal deep learning model. Two deep semantic models, baseline BERT and hateXplain-BERT, are systematically combined with several deep ResNet architectures to estimate the severity of the offensive memes. This process is based on the Meme-Merge collection that we construct from two publicly available datasets. The experimental results demonstrate the model’s effectiveness in classifying offensive memes, achieving F1 scores of 0.7315 and 0.7140 for the baseline datasets and Meme-Merge, respectively. The proposed multimodal deep learning approach also outperformed the baseline model in three meme tasks: metaphor understanding, sentiment understanding, and intention detection.
E-learning Model for Blind Disabilities with Text to Speech using NLP

Some of the advantages of E-learning lead to the implementation of e-learning at different levels of education and increase the effectiveness and efficiency of the learning process.However, e-learning cannot be implemented properly for disabilities, one of which is blind disability.The purpose of this research is to build an e-learning model for blind disabilities so that the knowledge transfer process can be carried out effectively and efficiently for the blind disability community.The research method uses a qualitative approach by interviewing disability and experts to get problems and solutions as considerations for creating a model.The result of this research is an e-learning model for blind disabilities.
Automatic Agile Transformation With Approach by Modeling from BPMN Collaboration Diagram Model to UML Use Case

In this paper we propose an automatic and agile transformation method from the CIM level to the PIM level respecting the MDA approach and agile transformation rules.The proposal mainly focuses on the creation of a CIM Level from the defined rules that allow the realization of rich models containing all the important information to facilitate the transformation to the PIM level.Then, we propose to define the agile transformation rules from the CIM level to the PIM level, through passage rules and agile transformation rules, This method respects the MDA approach, by creating the business dimension at the CIM level through the use of BPMN via the collaboration and business process diagrams, defining the passage rules and agile transformation rules, to finally obtain a PIM recommended by MDA using UML use case and class diagrams.
Effects of Academic Workload to the Mental Fatigue of Students during Online Class

The present study quantitatively examines the relationship between the effects of academic workload to the perceived mental fatigue of undergraduate college students from Mapúa University in the Philippines.The current global pandemic and the abrupt shift from face-to-face classes to remote learning affected the students' mental health.The researchers used data from a sample of 104 respondents obtained from a digital survey containing the Fatigue Assessment Scale and NASA-Task Load Index, which was then analyzed using descriptive and inferential statistics.Results presented a strong relationship between the academic workload factors during online classes and students' overall mental fatigue level.Thus, results show that these factors significantly contribute to the intensity of the mental fatigue of college students.Based on the conclusion, the results show that the FAS is greatly affected by each dimension -mentally or physically.In addition, the academic workload assigned to each respondent shows that all cognitive factors such as mental demand, physical demand, temporal demand, effort, and frustration are significantly affected due to the assigned workload to the students during an online class.Thus, resulting to students must exert more mental effort to accomplish required outputs.
Development of Location-Allocation Model of Network Design for Battery Swapping Station and Battery Charging Station Facilities for E Trike and E-Motorcycle

Electric vehicles have been shown to lessen air pollution caused by transportation.However, because the number of motorcycle riders in Indonesia is fairly big, and because becak was once a major mode of transportation in Indonesia, the usage of electric vehicles such as e-motorcycles and e-trikes is an interesting object to develop.A good establishment of battery recharging facilities can accelerate the use of electric vehicles.Hence, planning for the establishment of a network of battery recharging facilities needs to be done.This study proposes a network design model for the battery charging station and battery swapping station facilities in Surakarta City to achieve maximum coverage with minimum cost.Market and mall locations in Surakarta City are potential locations to be chosen as battery charging stations and battery swapping stations.The MILP model is run using LINGO to reach the optimal solution.The results of this study succeeded in determining the location of the battery charging station and the battery swapping station in markets and malls in Surakarta with an investment feasibility study.This research is expected to provide input to Solo Technopark and the Surakarta Government in accelerating the use of electric vehicles.
The Implementation of GIS as a means for Study Source of Community of Practice

The usage of computational Geographic Information System (GIS) has been spread this last two decades, either for achieving organization goals to only personal use.One of the opportunities of GIS implementation is, it can be used as study hub and provide bunch of datasets of certain area for research purpose.The purpose of this paper is to discuss on how to implement a GIS as a study source of Community of Practice.This paper will conduct a Systematic Literature Review on 17 articles and literatures published between 1998 to 2020 with keyword 'GIS', 'Community of Practice', and 'GIS Community of Practice'.This paper is specified but not limited to only discuss the preferred application of GIS for Community of Practice based on reviewed articles and literatures only.However, further research is needed to complement and improve the main goal of this article and also to adapt the system in further human society.
Indonesia’s Readiness to Implement Agriculture Data Analytic – Based Smart Village

Indonesia strengthens village development to accelerate the achievement of the Sustainable Development Goals (SDGs) targets.The Ministry of Villages, Development of Disadvantaged Regions and Transmigration (Kemendes PDTT) publishes the Village SDGs and the concept of a smart village to achieve these goals.To find out Indonesia's readiness in implementing smart villages, it is necessary to conduct a situation analysis.Because agriculture is the main activity in the village, this study focuses on smart village analysis based on Agriculture Data Analytic (ADA).This study aims to analyze Indonesia's readiness in ADA-based smart village development.We used the 2019 Village Potential Data.The methods conducted by descriptive analysis methods, multiple regression analysis and clustering.Indonesia is well prepared if it is seen from the level of participation of villagers in the management of ICT, agribusiness, transportation and renewable energy.The level of participation of villagers varies greatly depending on the character of the province.The results of multiple regression analysis show that the sources of regional budget revenue (APBD), Village Original Revenue (PAD) and self-subsistent (Swadaya) funds have a significant effect on ICT managers in the village through the poor and most residents.APBD, PAD and Swadaya also have a significant effect on agribusiness managers in the village through the poor, the private sector and the business community in the village.Other sources of funds have a significant effect on the management of renewable energy in the village.The APBD and other sources only have a significant effect on transportation managers in the village, through most of the residents.Clustering using a Self Organizing Map (SOM) on 62.847 data and 25 variables related to ICT, agribusiness, transportation and renewable energy activities, was able to map 5 levels of potential smart villages, namely: very potential, potential, quite potential, less potential and not potential.
Sistem Informasi Pembayaran dan Pengelolaan Booking Unit Rumah Berbasis Web Pada Quantum Property

&#x0D; &#x0D; &#x0D; &#x0D; The operational system for bookings used by the Quantum Property company is still simple by utilizing Microsoft Office Excel in the unit booking process. This certainly has an impact on the slow process of processing data on the business processes that are carried out. After knowing the running system and the problems experienced by Quantum Property, the purpose of this research is to create a website-based payment information system and management of house unit bookings. The results of this system design can be used by home booking providers as a basic reference for taking solutions to existing problems and good and effective management. The research method used is descriptive research method which aims to describe, explain and describe certain phenomena related to the research object. With this website-based information system, the availability of complete property information is more easily accessed by potential customers so that they can see the specifications of what houses are being sold by Quantum Property.&#x0D; &#x0D; &#x0D; &#x0D;
Cryptocurrency Trading BoT Using Python

Abstract: Our daily life has been merged online and they become more flexible and more effective. A huge growth in number of online users has activated virtual word concepts and created a new business phenomenon which is cryptocurrency to facilitate the financial activities such as buying, selling and trading. Cryptocurrency represent valuable and intangible objects which are used electronically in different applications and networks such as online social networks, online social games, virtual worlds and peer to peer networks. The use of virtual currency has become widespread in many different systems in recent years. At present, trading is done by human which is a hectic work. The first disadvantage is that we analyze the chosen cryptocurrency will rise or fall in value and buy or sell as per our strategies which is not accurate and efficient always, the second one is that we need to keep a watch every second to cope with loss, which is not possible for a human. We can use a bot that can trade by itself to maximize the profit. The bot function by taking the relative strength index (RSI) of the coin and calculates the selling price and buying price for the existing price. This can help the user to gain profit and be relaxed in the fluctuation period of the coin. These bots help capitalize on market opportunities and cut down time spent on monitoring.
Byte Academy-Coder Hub

Abstract: This research paper proposes a programming learning system called Byte Academy-Coder Hub to help solve educational quizzes. Byte Academy is a coder hub that provides training, mentoring, and community support to aspiring developers to help them launch their careers in the tech industry. This paper presents an online Q&amp;A solution that uses NET and a database to provide users with an easy and efficient way to get answers to their questions. The system is designed to appeal to a wide range of users, from students to professionals, by providing an intuitive and user-friendly interface. In addition, the system will include a chatbot to enhance user interaction and user experience. The suggested solution will be flexible, scalable, and simple to manage, making it the perfect choice for companies and organisations across a range of industries. This study examines Byte Academy's attributes and advantages as well as how it affects the software development sector. The program's curriculum, instructional techniques, and results are all examined in this essay, along with the graduate-accessible resources and the program's community. The report also compares Byte Academy to other Coder Hubs available on the market and evaluates their shortcomings.
Sign Language Recognition

Abstract: All over the world, the hearing and speaking impaired person communicate through the sign language as it is the only reliable source of interaction with themselves and as well as with normal people. This language is mainly made up ofthe shape of the hand movement and gestures it made. This system aims to bridge this communication gap and aid the deaf and the mute to use technology to carryout their daily transactions by using a simple approach which is easily implementable. Also, to help the hearing and speaking impaired person to communicate with people who do not understand sign language. In this system, the sign language concentrates on the 26 letters of alphabets and some simple phrases like Hello, Good morning, thank you, etc., The proposed system aims to recognize sign language and convert it to text. In this paper a technique is proposed todevelop a system which collects the datasets for the input. Input given to the system is an image of the hand depicting. OpenCV is used as a tool for image processing in the proposed system. The system is trained in a specific which we will discuss in the upcoming sections which predict the result of the input given. This mainly uses the TensorFlow for the prediction analysis and detection analysis
Parallel Strong Connectivity Based on Faster Reachability

Computing strongly connected components (SCC) is a fundamental problems in graph processing. As today's real-world graphs are getting larger and larger, parallel SCC is increasingly important. SCC is challenging in the parallel setting and is particularly hard on large-diameter graphs. Many existing parallel SCC implementations can be even slower than Tarjan's sequential algorithm on large-diameter graphs. To tackle this challenge, we propose an efficient parallel SCC implementation using a new parallel reachability algorithm. Our solution is based on a novel idea referred to as vertical granularity control (VGC). It breaks the synchronization barriers to increase parallelism and hide scheduling overhead. To use VGC in our SCC algorithm, we also design an efficient data structure called the \emph{parallel hash bag}. It uses parallel dynamic resizing to avoid redundant work in maintaining frontiers (vertices processed in a round). We implement the parallel SCC algorithm by Blelloch et al.\ (J.\ ACM, 2020) using our new parallel reachability algorithm. We compare our implementation to the state-of-the-art systems, including GBBS, iSpan, Multi-step, and our highly optimized Tarjan's (sequential) algorithm, on 18 graphs, including social, web, $k$-NN, and lattice graphs. On a machine with 96 cores, our implementation is the fastest on 16 out of 18 graphs. On average (geometric means) over all graphs, our SCC is 6.0$\times$ faster than the best previous parallel code (GBBS), 12.8$\times$ faster than Tarjan's sequential algorithms, and 2.7$\times$ faster than the \emph{best existing implementation on each graph}. We believe that our techniques are of independent interest. We also apply our parallel hash bag and VGC scheme to other graph problems, including connectivity and least-element lists (LE-lists).
The Correlation Between Learning Facility, Learning Time and Parental Guidance at Home to The Students’ English Learning Achievement

The research purpose is to know the correlation between learning facility, learning time and parents’ guidance at home to the students’ English learning achievement. The research uses a correlation method with the subject of the study is 118 participants of the students of English Education Program. All of the key words are parents’ participation to support the students’ success in learning. However , the students need motivation not only from the school teacher but also from the parents at home. Due to students spend most of the time at home with the parents. The data are collected by using documentation and questionnaire. The researcher uses SPSS 25 to calculate and answer each variable’s hypothesis. Then the researcher uses F statistic and multi correlation to answer the hypothesis of all variables. Based on the research result, F change 0.001 &lt; 0.05, It means the hypothesis is accepted and there is significance correlation of learning facility learning time and parental guidance towards students’ learning achievement. In conclusion, it can be inferred that every unit increase in learning indicators such as; learning facility, learning time and also parental support are accompanied by a unit change in student achievement in English.
AWS Billing and Pricing

Thus far, you have learned about all the basic concepts of cloud computing, its components, AWS and its services. Now, it's time to look at the pricing principles of AWS and its cost management structure.
Virtual Private Cloud (VPC)

This chapter covers the VPC, which is the networking section of cloud computing. It dives deeply into the topics like VPCs (Virtual Private Clouds), route tables, a NAT gateway, an Internet gateway, subnets, security groups, and NACL (Network Access Control List). You’ll also run through a demo in AWS to create a VPC and public and private subnets.
Introduction to Cloud Computing

Before you dive into Amazon Web Services, you need a solid foundation of cloud computing. That’s the point of this chapter. Without further delay, let’s get started.
AWS Security and Management Services

This chapter includes a brief description of cloud security and explains how to ensure that your cloud infrastructure is secure from any possible failure.