Reviewerly/exHarmony huggingface dataset:
Relationship Between Parent's Attention to Children's Education with Children's Motivation to Learn at Home at Teratai Indah, Kelurahan Padang Sarai, Koto Tangah, Padang City

This research is motivated by the low level of children's learning motivation at home in Teratai Indah, this is presumably due to the relatively low attention of parents on children's education. This study aims to: 1) describe the attention of parents on children's education; 2) describe children's learning motivation at home; 3) look at the relationship between parental attention to children's education and children's motivation to learn at home in Teratai Indah. This type of research is quantitative research with correlational descriptive technique. The population in this study were school-age children in Teratai Indah as many as 35 people and a sample of 18 people. Data collection techniques in the form of a questionnaire. The data analysis technique used the percentage formula and Spearman rho correlation. The results of this study indicate that: (1) Parents' attention to children's education is categorized as low. This is evidenced by the answers of respondents to the questionnaire who answered the statement sometimes. (2) Children's learning motivation at home is categorized as low. This is evidenced by the answers of respondents to the questionnaire who answered the statement sometimes. (3) The results of data processing show that there is a significant relationship between parental attention to children's education and children's motivation to learn at home in Teratai Indah. It is hoped that parents can pay more attention to their children's education.Keywords: Parental attention, learning motivation
Development of the Traditional Engklek Game Model to Improve Dental and Oral Disease Prevention Behavior in Elementary School Children

Background: Maintenance of dental and oral health as well as dental health development, especially in the group of school children, need special attention, at the age of the child is undergoing the process of growth and development and the condition of the previous teeth will affect the development of dental health in adulthood. Efforts that can be made to attract children's attention in learning are new learning methods so that they do not cause boredom, such as the use of traditional games as learning media. The traditional game used is the traditional engklek game which has been modified and is expected to attract children's attention and not cause boredom in learning. Research Objectives: To produce a modified game of the Fule's version of the Fule's Traditional Engklek Game as a learning medium to improve the behavior of preventing dental and oral diseases in elementary school children. Research Methods: The method used in this research is Research and Development (R&amp;D). There are five stages, namely: information gathering, product/model design, expert validation and revision, product/model trial, and product/model results. The samples used were 27 children in the control group and 27 children in the intervention group. The results of the data obtained were tested using ANOVA, Shapiro Wilk, Wilcoxon test, Mann-Whitney test. Result: "Fule's Version of the Traditional Engklek Game" is effective as a medium for behavioral change to prevent dental and oral diseases in elementary school children with a value of 0.000. Knowledge with a value of 0.000, attitudes with a value of 0.000, and actions with a value of 0.000. There is a difference in the effectiveness of the "Fule's Traditional Engklek Game" with flipcharts on behavioral changes in preventing dental and oral diseases in elementary school children.
An Error Dependent Enhancement Method for Images Captured in Dense Fog

Fog and haze naturally or artificially appearing in the environment, limit human visibility. As a way of improving the visibility, digital images are captured and many different image enhancement methods are applied to remove the fog and haze effects. One of the fundamental methods is the Dark Channel Prior (DCP) method. DCP can remove fog and haze on a single image by modelling the psychical diminishing structure of fog. In this study, the spectral signature of the DCP method was investigated by using the transmission maps produced by the results of the DCP method on the Spectral Hazy Image Database (SHIA) dataset, which consists of hyperspectral images taken in the visible and near infrared band range. In this study, it was observed that the transmission response of different regions in the image to the increase in fog density was different. By using this distinctiveness on two foggy images taken from the scene in two different high fog level, this study achieves to reveal the silhouette of the scene which is totally not visible to human eye.
A WEB-BASED BUDGET CONTROLLING INFORMATION SYSTEM USING LARAVEL FRAMEWORK (Case Study: PT. Tangki Raya)

Tangki raya is a company whose main business is steel design and pipe infrastructure. It is required to manage and maintain the amount of funds and labour when a project is underway, the difficulty of those requirement increases as the project increases in scale. Therefore, the Budget Controlling system will help alleviate work load of mantaining the funds and management of labor in order to increase efficiency and convenience. Using Laravel Framework to build a web based appliaction will help in accessibility and provide ease of use. Application development uses the prototyping model and responses aquired from user based testing. From the result of 30 respondents the system that has been develop proves to give lessen of work load, convenience and a comprohensive interface.&#x0D;
FORENSIC ANALYSIS USING AUTOPSY TO GET DELETED WHATSAPP DATA

Nowadays, Today, crime using smartphones is increasingly massive. Prevention efforts are carried out using mobile device forensics. In this study, a test was conducted to obtain deleted WhatsApp data using Autopsy with a combined method of ISO 27037 and NIST SP 800-101 R1. The type of data that you want to get is a list of contacts, call history, text messages, pictures, videos, audio, documents, and locations; while the total data used in this study amounted to 67 data. The results of the tests that have been carried out, Autopsy was able to obtain a quantity index of 87.5% in terms of obtaining the type of data; while in terms of getting all the data, Autopsy obtained a quantity index of 95%.
IMPLEMENTATION OF CITIZENS ADMINISTRATION APPLICATION OF RW 06 KAYUMANIS VII EAST JAKARTA WEB-BASED

Services to residents in RW 10 Kayumanis, Matraman sub-district, if you want to make a cover letter for RT, the RW still experiences a manual system by coming directly to the RT secretariat's house. The problem is that it often happens that the RT is not at home. To overcome administrative problems, the author makes a web-based administration application in the Kayumanis village by changing the procedure from manual to computerized and to provide the best service for residents. The system development method used is SDLC starting from requirements making needs analysis of procedures in data services at the local RT, both designs making data service system designs using use case modeling, activity diagrams and proposal diagrams, the third stage of implementation is implementing from design to source. code according to the flow, the last stage of testing is testing the population administration service application accompanied by the head of the local RT.
THE USE OF VLOG AS A MEDIA FOR ENHANCING TENTH GRADERS HOSPITALITIES’ SPEAKING SKILL AT SMKN 8 SURABAYA

The purpose of this study was to describe the students’ speaking improvement after the implementation of Vlog as a medium in teaching and learning process. The subject of this research were the students at the tenth grade hospitality 1 of SMKN 8 Surabaya in the academic year 2021/2022, which consisted of 35 students. The method in this study was Classroom Action Research that completed within 2 cycles. Each cycles following the four phases in cyclical namely planning, acting, observing and reflecting. However, a different treatment was given in the second cycle for a better result. Based on the data, the students showed significant improvement in their speaking performance after the second cycle conducted. In the first cycle, only a few well engaged to the learning process. When performing their speaking skill, they still makes some pauses and mispronounce words. The scores showed only 60% of students met the minimum standard or KKM. In the second cycle, through revisions based on the first cycle, the students could speak more fluently and accurately, and it can be seen from 91% of students who can improve their score above the minimum criteria of mastery speaking. In conclusion, Vlog can be an alternative and innovative media to enhance the students’ speaking skill.
Pemodelan Sumur Resapan Sebagai Upaya Penurunan Risiko Banjir Kota Denpasar pada DAS Badung

Regional Disaster Management Agency of Bali Province in 2013 stated that some areas of Denpasar were flooded because of the high rainfall in the residential area so there was a puddle in some areas.The impact of flood can be reduced by building infiltration wells.The infiltration wells are able to lower the discharge and rain runoff by increasing the infiltration capacity in the watersheds.The planning of infiltration wells was analyzed by applying Geographic Information System on the Badung catchment area that is located in the Denpasar.Furthermore, HEC-HMS software used to calculate the flooding and planning the infiltration wells based on SNI 03-2453-2002.The results of the infiltration wells in Badung catchment area can reduce the flood discharge up to 50.70% and the volume of flood runoff 74.09%, so the application of rainwater harvesting with the infiltration wells can be used as a reference as a form of the application of water resources conservation in an efforts to reduce the risk of flood disaster in Denpasar City.
Data Security Challenges and Solutions in Cloud Computing: Critical Review

This paper was prepare, based on the sensitivity of data security topics, and based on the controversy surrounding cloud-computing security. Therefore, this paper aimed to contribute by providing some tips and directions related to cloud security through critical review for a number of recent studies. Then, extracting the most important latest problems and solutions that related to data security in cloud computing; and presenting them all in one study to become a comprehensive reference. The study found that the most important problems are data leakage, data remoteness, privacy and data segregation. As for the most important solutions that this paper reached to meet these challenges, were using practical strategies like models and standards, and using different emerging and programming technologies such as encryption, digital signatures, hashing, and blockchain, smart contracts, IoTs sensors and devices, edge computing, and fog computing. The study recommended researchers to conduct more theoretical and practical research on the subject, and recommended the cloud services providers to adopt several practical strategies and emerging technologies for higher protection.
Credit Card Fraud Detection Using Hybrid Machine Learning Algorithms

Abstract: Credit cards have a high frequency of transactions taking place daily. There are approximately 36.4 percent fraud related to commercial cards which include credit card, debit card, etc. In 2022 there are 64 million people who use credit cards to initiate the transaction, therefore they are also prone to card fraud. To evaluate the model efficacy, a publicly available credit card data set is used. Investigation on different hybrid algorithms for the given dataset were studied. This research investigates seven different hybrid machine learning models to detect fraudulent activities. Our findings indicated that the hybrid model of Adaboost and LGBM is the most efficient model due to its high performance.
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images

In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape of a person is still an open issue. Model-based approaches can output precise meshes of naked under-cloth human bodies but fail to estimate details and un-modelled elements such as hair or clothing. On the other hand, non-parametric volumetric approaches can potentially estimate complete shapes but, in practice, they are limited by the resolution of the output grid and cannot produce detailed estimates. In this work, we propose a non-parametric approach that employs a double depth map to represent the 3D shape of a person: a visible depth map and a "hidden" depth map are estimated and combined, to reconstruct the human 3D shape as done with a "mould". This representation through 2D depth maps allows a higher resolution output with a much lower dimension than voxel-based volumetric representations. Additionally, our fully derivable depth-based model allows us to efficiently incorporate a discriminator in an adversarial fashion to improve the accuracy and "humanness" of the 3D output. We train and quantitatively validate our approach on SURREAL and on 3D-HUMANS, a new photorealistic dataset made of semi-synthetic in-house videos annotated with 3D ground truth surfaces.
Blockchain System Management for Learning 4.0

The E-learning Management System for Learning 4.0 purpose is to automate the existing manual framework with the aid of electronic tools and unquestionable PC programming, fulfilling their requirements so their crucial information/data can be stored for a longer period of time with easy access to and control of something similar. The required software and hardware are readily available and easy to use. The aforementioned E-learning Management System can result in an error-free, safe, reliable, and efficient administration framework. The customer may benefit from concentrating on their various exercises rather than the record-keeping. As a result, it will aid the association in making better use of its resources. Without unnecessary passages, the association can keep up with electronic records. That suggests that while having the choice to access the data, one need not be distracted by irrelevant info. The goal is to automate its current manual framework with the help of automated equipment kinds and unquestionable computer programming, meeting their needs so their important information/data may be stored for a longer period of time with easy access and control of something comparable. The project essentially outlines how to manage for improved performance and better client services.
Pandemic Survival

- Games are usually considered as a trite activity for the youth. However, the successful researches in game design and development over the last few decades have revealed that they can prove to be valuable tools for growth and connection. Exploring the ways digital games can be used as tools for connection has gained increased attention in recent times as a result of the COVID-19 pandemic. This paper proposes a two-dimensional Augmented Reality game titled “Pandemic Survival” that helps in spreading awareness about the effects of Coronavirus on the physical and mental health of an individual. The primary aim of the proposed work is to educate people about safety precautions to be taken to deal with the pandemic while staying indoors or travelling outdoors. Through various gameplays and element design, the utility of maintaining social distancing, using masks and sanitizers, taking dosages of vaccinations etc have been implemented so that players, especially youth and children tend to learn and acquire knowledge of fighting back with the virus attack in a fun-filled manner. &nbsp
Sistem Informasi Akuntansi Pendapatan dan Pengeluaran Kas Pada SMK Bhinneka Patebon Menggunakan Metode Cash Basis

At SMK Bhinneka Patebon in the process of recording cash income and disbursements data and reports are still done manually using notes and books, there is often a buildup of transactions that have not been recorded. This resulted in the problem of making reports less fast and accurate for making reports because it took a longer time.&#x0D; The Cash Revenue and Expenditure Accounting Information System at the Bhinneka Patebon Vocational School uses the Cash Basis Method to facilitate the Bhinneka Patebon Vocational School in the process of managing cash income and disbursement data in making reports that are faster, more precise and accurate.&#x0D; By using the Cash Income and Expenditure Accounting Information System at the Bhinneka Patebon Vocational School using the Cash Basis Method, it also has the following benefits: (1) It can be seen what cash income and expenditure transactions are needed quickly and accurately. (2) Produce precise and accurate financial reports. (3) The system is used by the school principal as a means of accountability to the Foundation for later use as a consideration for decision making by the Foundation
Monitoring Kadar Oksigen Pasien COVID-19 Untuk Isolasi Mandiri Berbasis IoT

Corona virus or commonly known as COVID-19, where the virus can be transmitted by animals or by humans, with symptoms such as a high fever that can reach 37.7℃ or more, or low blood oxygen levels and handling cases of the covid- 19 virus has been pursued properly. With direct treatment by doctors, treatment in hospitals to self-isolation treatment and with the application of self-isolation for covid-19 patients, it is hoped that they can always see the condition of body temperature and oxygen levels in the blood. This study, the method of checking the number of heart beats of isoman patients and the amount of oxygen in the patient's body was developed by connecting the device to the IOT Telegram, which for the microcontroller used is Wemos D1minilite and with this development it is hoped that it can help the front group to overcome COVID-19 to always be able to help patients who are running isoman. The results of the testing of the tools made obtained a data success of 99.71% by comparing the results of the two tools, namely a tool made by researchers with an oximeter, and in these results obtained a data error value of 0.29% of the total data of 20 isoman patients. The data used were taken from COVID-19 patients who were self-isolating, and there were some patients whose test results were below the specified parameters.
Designing a conversational agent to promote teamwork and collaborative practices using design thinking: An explorative study on user experiences

Appearance, voice features, and communication style affect users trust in conversational agents (chatbots), but few studies have assessed what features users like and dislike. Using design thinking, we developed Susa, a conversational agent, to help workplaces promote teamwork and collaborative practices. Design thinking prioritizes co-creation and multidisciplinary teamwork to develop innovative solutions to complex problems. The aim of this qualitative study was to explore users' interactions with and reactions toward Susa and explain how we used user inputs to adapt and refine the first prototype. The employees and managers from four workplaces participated in three workshops to test and refine the agent. We applied an explorative thematic analysis of data collected via video recordings of the workshops. The results of the analyses revealed that visual identity, communication style and personality was important for acceptability. Users favored a more human like agent that primarily communicated with the team via text messages. Users disliked emoticons and humor because these features clashed with the seriousness of the topic. Finally, users highlighted that Susa helped structure organizational change processes, develop concrete action plans, and stay on track. It is a weakness that Susa is a simple robot based on a preprogrammed script that does not allow users to adapt the process.
Compact Genetic Algorithm with Quantum-Assisted Feasibility Enforcement

The local optima problem is one of the biggest obstacles in compact genetic algorithms since each bit in the problem encoding string is independent of the others. We propose a quantum-assisted compact genetic algorithm that uses a quantum amplitude amplification technique in the selection process to circumvent the said problem. In addition to using elitism mechanics where a single best candidate solution is kept to drive the probability vector, the amplitude amplification subroutine also acts as a mutation operator which, with high probability, enforces the constraint that the newly generated candidate is a feasible solution. We demonstrate this idea by applying the algorithm to the traveling salesman problem of size 3 and 4 cities on IBM Qiskit simulator to show how one would construct the quantum circuit and how to encode the optimization problem into quantum states via Ising spin model encoding. We then show space and time complexity analysis based on the quantum circuit model. Finally, we discuss the number of qubits required for encoding, gate counts in the circuit model, and the practicality of applying this to a small-scale devices in the future.
DEVELOPMENT OF ALGORITHMIC COMPETENCE OF STUDENTS IN MATHEMATICS LESSONS USING INFORMATION AND COMMUNICATION TECHNOLOGIES

This article provides a brief overview οf scientific works, the authors of which conduct research in the field οf educatiοn aimed at developing the algorithmic competence of students in teaching mathematics. The main οbjective of the study is to show the importance of developing students' algorithmic competence with the help of infοrmation and cοmmunication technοlogies (ICT). And also, the concept and formation of algorithmic competence in mathematics classes through ICT is considered. A detailed solution of the problem with the development of an algorithm is described. The proposed model for solving problems in mathematics will be useful for the development of mathematical literacy of students and literacy of students in the field of ICT. The elements of the author's methodology of teaching the subject "mathematical literacy" using the algorithmization of the educational process are presented. The proposed teaching method cοntributes tο the develοpment of intuition, logic in students, students are not afraid to make mistakes, expressing their answer, their pοint οf view. The idea is substantiated that the development of algorithmic competence in students in mathematics lessons through ICT remains relevant today, as this is emphasized by international studies under the PISA program (Prοgramme fοr International Student Assessment), which assesses mathematical literacy and literacy in the field οf infοrmation and cοmmunication technolοgies. The ability tο create, apply and transfοrm signs and symbοls, mοdels and schemes tο sοlve educatiοnal, cοgnitive and practical prοblems, as well as evaluate the results οbtained is a necessity fοr the digitalization οf mοdern life.