Reviewerly/exHarmony huggingface dataset:
The impact of good governance indicators on government spending in the Arab Maghreb countries during the period (2002-2021).

This study aims to show the relationship between some indicators of good governance and government spending in the Arab Maghreb countries during the period (2002-2021), using Panel data models, where government spending represents GOV the dependent variable, while the opinion and accountability index VC represents the quality of organization index RQ The anti-corruption index CC, the independent variables in the model, and the study reached results, the most important of which is the presence of a direct and significant relationship between the opinion and accountability index and government spending, which is considered one of the most important indicators of good governance affecting government spending, unlike the rest of the indicators. This result indicates the effectiveness of opinion and accountability as a tool for rationalization Government spending in the Arab Maghreb countries.
A FUZZY-BASED EXPERT SYSTEM FOR DETERMINANTS OF TEACHER PERFORMANCE

Performance is the level of success achieved by a person in carrying out their duties and responsibilities as well as their ability to achieve the goals and standards that have been set. Teachers' performance is evaluated on a regular basis at each school. Teacher performance evaluation is carried out to identify flaws in task execution and to gain an overview of the results to be achieved in the future. So far, teacher performance appraisal is done manually, which is very difficult and time-consuming and feels less objective. Therefore, a fuzzy-based assessment system needs to be designed so that it helps in making decisions more quickly, precisely, and objectively. Rules are designed and tested using the Mamdani fuzzy logic method, which is implemented through the Matlab Toolbox software. To produce a more accurate performance rating, more membership function output is needed so that a more accurate performance rating can be produced.
PENGARUH GERAKAN LITERASI SEKOLAH TERHADAP KREATIVITAS SISWA (NASIONAL)

GLS is an effort in the form of participatory activities by involving school residents so that students get used to reading. Various studies that say that the literacy ability of students in Indonesia is quite alarming. Based on the author's observations, the library that should be used as a place to read books is only used as a place to store books. so with this GLS, it is expected that students' reading literacy skills will increase. This study aims to describe the teacher's understanding of the GLS and to describe the implementation that teachers do to support the student literacy movement nationally. The approach in this study uses a qualitative approach. Qualitative approach is used to describe, describe, explore and describe related to this research. While the type of research used in this research is descriptive qualitative. The results showed that the teacher's understanding of the national student literacy movement was quite good, and adapted to the abilities of the students, while the teacher's implementation was still focused on improving reading and writing skills and increasing self-confidence, namely through singing the national compulsory anthem, reading Alternately illustrated story books are provided in the reading corner and library, while the activities carried out in the GLS are reading short letters, singing the national anthem, and reading multiplication. The conclusion from the above findings is that in its implementation it is not only in the fields of linguistics and literature, mathematics, and science but also in the fields of religion and SBDP. It looks on the activities carried out in the implementation of literacy activities nationally although not yet maximal.
Adventures beyond anthropocentrism in virtual reality art

In the following essay, I consider if and how VR’s uncanny ability to create an illusion of presence and generate a sense of body ownership might be used to go beyond our anthropocentric perspective, towards non-human experiences. By adventuring outside the domain of human experience, my goal is to address the affordances and limitations of VR’s illusionistic potential. Knowing full well that certain economic pressures preclude artists from pursuing the kinds of provocations I describe in this essay, I nevertheless invite readers to follow along as I explore alternative potentialities of contemporary VR. Specifically, I approach VR here in the hopes of finding ways of engaging with different bodies, spaces, and realities, even if illusorily.
Perancangan Sistem Informasi Pemesanan Tiket Bus pada PT. Putra Pelangi Perkasa

PT. Putra Pelangi Perkasa is one of the companies engaged in AKAP (Inter-City Inter-Provincial) passenger transportation services. In supporting its business, the company has a website-based information system, namely https://www.putrapelangi.com/. However, the website currently used by the company is only specifically used for internal companies. Customers who will order tickets are still done conventionally by visiting the company counter directly so that this process is very ineffective and efficient. Therefore, by designing a website-based information system for ordering bus tickets for PT. Putra Pelangi Perkasa can solve problems in the current system. This system was designed using Balsamiq Mockups 3 and the Unified Modeling Language (UML) system modeling using the Laravel framework. The method of testing this system is black-box and the results of the study show that the bus ticket booking information system that was built is very effective and efficient for use in ordering bus tickets because of the search, ordering, payment, cancellation of bus tickets, and seeing the available seat plans. visualization of the system being built.
Bitcoin Price Prediction using Deep Learning

Abstract: Bitcoin is a decentralized digital currency. It is a type of cryptocurrency because it uses cryptography to keep it safe. It is gaining popularity among individuals but it is still not common to use this technique because people still invest in traditional techniques like stock market. Additionally, there are various factors that affect the price of bitcoin such as total circulating supply, production costs, bitcoin mining, rules and regulations, and bitcoin sentiment. These factors and their combinations are used to determine which factor has the greatest influence on the price of bitcoin, and then use the studied factors and the history of the price of bitcoin to predict the evolution of bitcoin prices. Another emerging technique in computer science is deep learning, which is used for trend analysis. The models used are RNN, LSTM, and the model that gives the best result is selected for prediction.
Penggunaan Aplikasi Mendeley Untuk Peningkatan Kualitas Riset Akuntansi

The purpose of this community service activity is to introduce lecturers and students to the importance of citations in scientific papers that can be poured into theses, theses, dissertations and even scientific articles. The activity method is applied by three methods, namely the lecture method, the practice method, and the evaluation method. The participants of the activity came from several lecturers and students in Pontianak totaling 12 participants with a time of 2.5 hours. The activity is carried out with an introduction to the citation of scientific papers and the importance of citations, especially in accounting research topics so that the citations taken are in accordance with the needs and lead to the field of accounting science itself. Then proceed with the process of explaining the understanding and use of mendeley. The results of this activity explained that all participants felt helped and could understand the process of using the mendeley application to improve the quality of accounting research. The weakness in this activity is that it takes more time for some participants who are slow to use the laptop or lack high mastery of the laptop. This activity is expected to have sustainability with an understanding of several models of writing forms needed according to needs.
Application of the Weighted Product Method in a Decision Support System to Determine Children's Multiple Intelligence

Intelligence cannot solely be measured in terms of intellectual intelligence. There are various types of intelligence in children, which cause teachers and parents require time to determine the type of intelligence of children. Quick and easy decision-making can be achieved using a decision support system. One method that can be adopted in the decision-making process of a decision support system is the weighted product method. This study aims to measure the level of accuracy of the weighted product method in determining the type of multiple intelligence of children. The decision support system determines the type of intelligence of children in early childhood (ages 4-6 years) using Garner's [1] eight types of multiple intelligences as decision-making criteria. The data was collected using interviews and questionnaires to the teachers of Mutiara State Kindergarten. The study found that a decision support system using the weighted product method can determine the type of children's multiple intelligences with an accuracy rate of 96%. Based on the result of analysis and calculation using the weighted product method from test questionnaire data of 55 children, compared to the results of identification by the teacher, it was found that the compatibility of 53 children.
The Development of Foodivity Interactive as an Interactive Multimedia to Improve Students’ Understanding of Food Nutrition Topic

The pandemic of COVID-19 has affected the education sector. All school access is restricted, transforming education into distance learning. This encourages educators to explore alternative methods for improving students' understanding. Interactive multimedia is a method of learning media that can promote efficiency, motivation, and student understanding of subjects. This research aims to measure the students' understanding of nutrition by developing festivity interactive as interactive multimedia. A pre-experimental one-group pretest-post-test design was adopted. Developing multimedia using the instructional design process ADDIE (Analysis, Design, Develop, Implement, and Evaluate). The research subject was 53 junior high school students in West Java, more precisely in two locations, Sukabumi and Kuningan. The instrument consisted of an expert judgment rubric, a student questionnaire, and a multiple-choice objective test with pretest and post-test. The V Aiken index shows an average validation of 0.8125, indicating that the media is valid and can be used. Students responded positively to the questionnaire by a percentage of 93.01 percent. Based on the analysis, the N-gain value on students' understanding is 0.35. This indicates increased students’ expert judgments in the moderate improvement category between the pre-and post-tests. The hypothesis test establishes that hypothesis H1 is acceptable, showing a significant difference between pre-and post-tests. These results indicate that using Foodivity Interactive as an Interactive Multimedia can enable students’ understanding of nutrition topics.
SURVIVAL ANALYSIS OF THE FIRST JOB WAITING TIME FOR GRADUATES USING THE COX PROPORTIONAL HAZARD MODEL BASED ON THE MAXIMUM LIKELIHOOD ESTIMATION PRINCIPLE

Every university graduate certainly expects to obtain the desired job as soon as possible. But in reality, because of high competitiveness in job markets many graduates have long waiting time to get a job. Survival analysis can be used to analyse the length of waiting time to obtain the first job. Thus, the objectives of this research are to get Cox Proportional Hazard model parameter on the length of waiting time of the graduate of Faculty of Social and Political Sciences Syarif Hidayatullah State Islamic University Jakarta to obtain the first job based on Maximum Likelihood Estimation principle and to explain factors influencing the graduate’s length of waiting time to obtain the first job by analysing the variable of gender, GPA, and study program. Data used in this research are from document of the faculty. The research found Cox Proportional Hazard model parameter on the graduate’s length of waiting time to obtain the first job and its significant influential factors, namely GPA and study program.
The Multimodal Analysis of Lazada’s Online Advertisement

Advertisement plays an important role in the progression and development of a public company or an individual agency. The performance of an advertisement cannot be separated from the elements inside. The purpose of this research was to determine the relationship between image (visual elements) and text (linguistic elements) in a context. This research analyzed the multimodal aspect of Lazada's online advertisement. The data was obtained from the internet by accessing the legal website of Lazada and selecting one image as the sample. The method used in the research was a qualitative method that focused on descriptive and interpretative analysis. Generic Structure Potential (GSP) proposed by Cheong (2004) was applied to reveal visual and linguistic elements. Meanwhile, Halliday’s transitivity was applied to analyze types of processes in order to show how those elements represented the message conveyed. The research results showed that the visual elements on Lazada online advertisement were Lead, Emblem, and Display. Meanwhile, the linguistic elements were Announcement, Emblem, Call-and-visit-information, Enhancer, and Tag. Moreover, both elements were interconnected, in which attractive visual and linguistic elements directly affect the quality of the advertisement performed.
Difficulties Encountered by a Dyslexic Secondary School Student in Learning Science and Suggestions for Solutions

This study aims to reveal the problems faced by a dyslexic student in learning science and determine what can be considered an effective science teaching method for this kind of learner. The case study design was used, and the study was conducted with a 7th-grade dyslexic female student. This study used observations and a semi-structured interview form as data collection tools. According to the findings, the problems faced by the student with dyslexia in learning science were generally compatible with the literature and immediately affected science learning. It was deduced that the student's reading skills, writing skills, motor skills, attention, memory and comprehension, language skills, use of sensory organs, and math skills are effective in learning science and that the development of these skills is necessary for understanding and comprehending science. In order to develop these skills, it is predicted that technology-based student-centered activities and individualized teaching may be beneficial, which is in line with the constructivist philosophy. In addition, it may be practical to give technology-supported reading extracts containing scientific texts, tasks involving social interaction, and writing tasks to improve students' reading, writing, and language skills.
Automatic Detection of Helmets on Motorcyclists Using Faster - RCNN

Motorcycles have been a popular choice for a go-to daily means of transportation due to its lower price, making it affordable for high to low-class citizens. Helmets are required for every motorcycle owner so that the rider’s head is protected from accidents. However, not many people follow the rules and tend to not wear helmets and plenty of them underestimate the usage of helmets. For this, it is necessary to implement a system that can detect which rider wears the helmet or not by applying deep learning techniques. This paper aims to implement one of the deep learning techniques, which is Faster R – CNN to detect the helmets and the motorcyclists. After training 400 images using different learning rates, the mean average precision (mAP) achieved the highest with 87% using the learning rate of 0.0001
Klasifikasi Suara Paru-Paru Berdasarkan Ciri MFCC

The lungs are an important organ in the human respiratory system, which functions to exchange carbon dioxide from the blood with oxygen in the air. Detection of respiratory disorders and lung disorders can be done in various ways; view medical records, physical examination, detection by x-ray and also auscultation of breathing. Digital signal processing can be used as a method to detect lung disorders based on the sound produced. In this study, lung sounds were classified into normal, crackle, wheeze, and crackle-wheeze classes using the Mel Frequency Cepstral Coefficient (MFCC) and Convolutional Neural Network (CNN) methods.Observations were made by varying the MFCC feature extraction using MFCC 8 and 13 coefficients, the number of frames are 50 and 60, and the width of the frames used was 0,1, 0,15 and 0,2 seconds. The result of feature extraction is then applied to the CNN classification system, and the confusion matrix is used to get the accuracy and precision values. The highest accuracy and precision values were obtained at 71,85% and 65,70% on the MFCC 13 coefficient with an average of 71,18%. Based on these results, the system that has been created can classify normal lung sounds, crackle, wheeze and crackle-wheeze quite well.
Hybrid Analysis of Marriage Information System Using Webqual 4.0, EUCS, and Importance-Performance Matrix Method

Electronic-based governance is a way for Central and Regional Government Agencies to utilize information technology. Ministry of religion created SIMKAH WEB as one of the forms of E-government. This application helps administer marriages and is integrated with other applications by sector. The primary purpose of this application is to improve services and digital data presentation. This study analyzes the quality of SIMKAH WEB based on user perceptions, namely employees of the Ministry of Religion and prospective brides. The method used in this research is Webqual 4.0, EUCS, and Importance Performance Analysis Matrix. We combined the two approaches, Webqual and EUCS, and then analyzed them with the IPA Matrix. The result was compared against the results given by each method when it was carried out separately. Another benefit is providing recommendations for improvement based on each technique. Several methods will show which way has the highest suitability level and provide suggestions for improving the SIMKAH application. Based on the suitability level analysis results, the combined Method obtained a value of 92.85%, EUCS 92.64%, and Webqual 90.13%
Empowering Musical Creation through Machines, Algorithms, and Artificial Intelligence

In this paper, I describe the development of my personal research on music that transcends the limitations of human ability. I begin with an exploration of my early thoughts regarding the meaning behind the creation of a musical composition according to the creator’s intentions and how to philosophically conceptualize the creation of such music if one rejects the existence of abstract Platonic Forms. I then explore the transformation of my own creative process through the introduction of software capable of playing back music in exact accord with the inputs provided to it, while enabling the creation of music that remains intriguing to the human ear even though the performance of it may sometimes be beyond the ability of humans. Subsequently, I describe my forays into music generated by earlier algorithmic systems such as the Musikalisches Würfelspiel and narrow artificial-intelligence programs such as WolframTones and my development of variations upon artificially generated themes in essential collaboration with the systems that created them. I also discuss some of the high-profile, advanced examples of AI-human collaboration in musical creation during the contemporary era and raise possibilities for the continued role of humans in drawing out and integrating the best artificially generated musical ideas. I express the hope that the continued advancement of musical software, algorithms, and AI will amplify human creativity by narrowing and ultimately eliminating the gap between the creator’s conception of a musical idea and its practical implementation.
The Surroundings of Lee In-jik’s literature(2)

한국 최초의 근대 문학『혈의 누』를 이해하기 위해서는 작가 이인직의 생애, 그 중에서도 그가 일본에서 체득한 문학이 어떠한 것이었는지 알아야 한다. 이인직이 일본에 체류하는 동안 일본 문단에서 가장 유행했던 것이 ‘가정소설’이다. 가정소설 작가 중 오늘날 거의 잊힌 작가인 무라이 겐사이(村井弦齋)는 중요하다. 그는 정치논설 중심의『호치 신문』(報知新聞)이 대중 신문으로 변환하는 과정에서 그 신문에 통속적인 대중소설을 연재하여 당대 최고의 유행작가가 된다. 그리고 겐사이는 이인직의『혈의 누』와 같은 제목의 소설인『피눈물』(血のなみだ)이란 작품을 1895년 발표한다. 이 작품은 청일전쟁 후 러시아, 프랑스, 독일의 삼국간섭을 배경으로 한다. 삼국간섭으로 남편을 잃은 주인공 모녀가 고난을 겪다가 이를 극복하고, 그 딸이 성장한 후 결혼과 관련하여 여러 가지 에피소드가 발생한다는 이야기로 그 구조는 이인직의『혈의 누』와 비슷하다. 또 ‘피눈물’이란 키워드를 매개로 외세에 의해 침탈당한 국권과 평범한 한 가정의 파탄 과정을 관련지어 그리고자 했던 두 작가의 창작 의도 또한 같다. 이는 정치소설의 통속화, 대중화 과정에 나타난 일본가정소설의 계몽성과 상업적 통속성을 여실히 드러내는 것이고, 이 부분이 이인직 문학의 특징이기도 하다. In order to understand Korea"s first modern novel『혈의 누』, it is necessary to know the life of writer Lee In-jik, especially the literature he experienced in Japan. During his stay in Japan, the most popular genre was ‘家庭小説-domestic novel’. Among them, Murai Kensai(村井弦齋), a writer who is almost forgotten today, is an important person. In the process of turning the political newspaper『報知新聞』 into a popular newspaper, Kensai became the most popular writer by serializing Popular fictions. And he published the same title『血のなみだ』as Lee In-jik"s 『혈의 누』 in 1895. The story structure of this work is similar to that of Lee In-jik"s work, in which the main character mother and daughter, who lost their husband to the Sino-Japanese War, overcome hardships, and various episodes related to marriage occur after the daughter grows up. In addition, it can be seen that the two novelists" creative intentions to portray the national sovereignty invaded by foreign powers through the keyword ‘blood tears’ and the resulting collapse of an ordinary family are also the same.