Reviewerly/exHarmony huggingface dataset:
Development of Learning Media to Introduce Traditional Musical Instruments using Augmented Reality on Instagram

Along with the times, the concern for the preservation of Indonesian culture has become very minimal. Many people prefer to play modern musical instruments over traditional musical instruments. The lack of introduction and socialization of Indonesian culture is also one of the important factors why people are less interested in traditional musical instruments. This study aims to develop learning media for the introduction of traditional musical instruments through Instagram. The method used in this research is Research and Development. The first stage is needs analysis and literature study. The second stage is to design media using use cases. The third stage is the implementation or creation of Instagram filter learning media and testing of functionality and compatibility tests by media experts. The fourth stage is the software testing stage which includes 2 stages of testing, namely verification and validation testing and knowing the quality and feasibility. The results of the analysis show that the Instagram filter learning media is feasible to use. However, this research still needs further research for the development of better media.
The Model of Marker Based Tracking on the Augmented Reality of Hijaiyah Alphabet and Tajweed Al-Qur'an for Children Education

Al-Qur'an is a holy book of Muslims. The recitation of the Al-Qur'an is controlled by many laws which are contained in the Hijaiyah alphabets and Tajweed which refer to the correct pronunciation of the Al-Qur'an. If it is misstated, it will be wrong in meaning and meaning in the delivery of the Al- Qur'an. However, a Muslim is obliged to be good at reading the Al-Qur'an from an early age. So that with the development of technology specifically in smartphone media, children become addicted to the use of smartphone technology. It is undeniable that children are very fond of using smartphones, so with the development of this technology, a learning media was designed that could be implemented in a smartphone in order to overcome children's addiction in playing smartphone games replaced by special learning in the introduction of Hijaiyah Alphabet and Tajweed Al- The Qur'an. The technology used is the development of multimedia technology such as Augmented Reality (AR) which expands our physical world by adding a layer of digital information to it. AR was also developed on the basis of several marker techniques so that in this paper a children's learning media was developed with responsive results in the Marker Based Tracking Technique on AR for the introduction of the Hijaiyah alphabet and the Tajweed Al- Qur'an as a substitute for children's addiction in using smart phones.
Application of K-Means Clustering Algorithm in Determining Prospective Students Receiving Foundation Scholarship

Dharmawangsa Educational Foundation provides financial assistance every new academic year to the new students who own great academic abilities, but have the poor economic background to continue studying at the college. In the distribution of the scholarship, the foundation certainly needs to conduct the selection of new students&#x2019; data correctly to get the right grantee. So far, the steps taken to select the grantee are carried out manually, namely checking and selecting one by the students&#x2019; data. Furthermore, the amounts of data that need to be selected one by one take a long time and the accuracy level of assessment are not necessarily optimal too. The study aimed to develop an application system that could improve the quality of awarding scholarships to be more objective in accordance with a grouping of each student&#x2019;s criteria, so the foundation got the right grantee. The method used was the K-Means Clustering algorithm. It could form a cluster in determining the level of the data processing result. In addition, the cluster used was by the predetermined criteria, including the value of the Final School Examination, the report card value, house status, the condition of the house, and the parents&#x2019; income. The next step was to divide the information into clusters, so the information with the same character was grouped into the same cluster. The cluster was divided into three groups, namely accepted, considered, and rejected. The data used were 80 students. The result of the calculation carried out was 16.3% accepted, 61.3% considered, and 22.5% rejected.
Decision Support System Using Analytic Hierarchy Process Algorithm to Determine Cattle Worth to Sell

In the Arsya Mandala Cantya (AMC) service, cow data needs are needed to find out which cows have been vaccinated, pierced, and know the cow's weight and health. Currently, the admin who manages cow data still uses manual data when they want to sell cows at the Catholic Social Development Foundation, they still have to open the cow data first and check the cow's condition directly. Therefore, we will design a Decision Support System to Determine Cattle Worth Selling Using a website-based Analytic Hierarchy Process (AHP) Algorithm. A Decision Support System is needed at the Catholic Social Development Foundation to make it easier to manage cow data, as well as to find out which cattle are suitable for sale based on body weight, health, and age. The algorithm that will be applied in the Decision Support System is the Analytical Hierarchy Process (AHP) Algorithm. System development is carried out on a website-based platform. The programming language used in the system development is PHP (PHP: Hypertext Preprocessor) using Codeigniter with visual studio code tools as an editor for writing PHP code, HTML. While on the side of database processing simplifies MySQL database management. Implement a decision support system using the analytical hierarchy process (AHP) algorithm to determine saleable cattle at the Lampung Catholic Development Social Foundation to make it easier for foundations to manage reports on cattle eligible for sale to the Foundation. The assessment of the questionnaire was measured based on the system's feasibility conversion criteria. The following are some of the results of the system's feasibility test for the admin function, the value is 93,3%.
Implementation of the Backpropagation Algorithm for Prognosis of the Number of New Students

The number of new students in the Faculty of Computer Engineering and Science of Universitas Dharmawangsa is fluctuating. As the number of new students fluctuates, the university should anticipate any potential weaknesses using the prognosis model to forecast the number of prospective students. An artificial neural network system with backpropagation method applied in this study was expected to solve problems in the prognosis of the number of new students. This study aimed to develop a system capable of forecasting the number of prospective students through a backpropagation algorithm of an artificial neural network program. This study employed new students from three departments in the last five years (2016-2020). The results of this study were 78 students consisting of 21 students from the Information Systems D3 Study Program, 36 students from the Information Technology Bachelor Degree, and 19 students from the Software Engineering Bachelor Degree, this study developed a web-based application capable of forecasting the number of prospective students that are likely to attend their undergraduate degree in the Faculty of Computer Engineering and Science of Universitas Dharmawangsa. The result of this study could be used as a consideration regarding the strategies for increasing the number of prospective students.
Expert System for Diagnosis of Cataracts in Children With Bayes Theorem

The branch of Artificial Intelligence science is an expert system that is a combination of expert experience and an inference engine to produce knowledge. With an expert system, a user will get the knowledge that comes from the system, just like meeting an expert. Many cases can be resolved by an expert system, including: in the medical, agricultural, and other fields. In this study, the expert system applies the Bayes method, which is a method that uses probability to determine whether a user is suffering from illness. The case that will be resolved by the expert system is the early detection of cataracts affecting infants and minors. Cataracts in children are generally caused by premature birth, the mother suffers from rubella during pregnancy, the consumption of food during pregnancy. Types of cataracts suffered by infants and children such as Congenital, Juvenile, Traumatic cataracts. The results of this expert system show that children has congenital cataracts by 50% based on the selected symptoms, namely G001, G002, G004, and G012 of a user based on the probability value that a user has.
Comparison of the Effectiveness of C.45 Algorithm with Naive Bayes Algorithm in Determining Scholarship Recipients

This research is formulated with a research question, namely the comparison of the C.45 Algorithm with the Na&#x00EF;ve Bayes Algorithm, which aims to select scholarship recipients at Universitas Putra Indonesia YPTK Padang so that a comparison between the two algorithms for scholarship recipients with a high level of accuracy is obtained. The methodology used in determining scholarship recipients at Universitas Putra Indonesia YPTK Padang is to compare the stages of the C.45 Algorithm and the Na&#x00EF;ve Bayes Algorithm. From some sample data of prospective recipients from the Information Systems department and has been generated based on the calculation of the C.45 Algorithm and the Na&#x00EF;ve Bayes algorithm as many as 5 (five) students who are not eligible to become scholarship recipients because they have a GPA &#x003C;3.00 per class in the Information Systems department, so that as many as 7 (seven) students who are eligible to become scholarship recipients because they have met the criteria for scholarship recipients in terms of GPA, and there is no C grade.
Inappropriate Content Classification based on Video Rating: A Preliminary Study

With the rise of social media, video analysis becomes more important in understanding user behavior. Video analysis has been a challenging problem in the computer vision domain compared to image analysis, considering the number of image frames per second a video can have, and the time-series information that underlying within the video. While recent advancements in video analysis improved gradually, the inappropriate content classification remains challenging, mainly due to the limited number of frames to be detected that is contributing to the inappropriate context of the video. In this work, we tackled this problem by addressing the current algorithm in video analysis problems and investigating the majority algorithm that is widely used in video analysis problems and is heavily affected by the issues in inappropriate content classification. A weighted score strategy is proposed to overcome the limitation of the small number of image frame detection in terms of inappropriate content so that inappropriate content classification problems can be optimized. To prove the concept, a video dataset labeled with inappropriate content inspired by Malaysia movie rating has been collected. The proposed strategy can outperform the majority algorithm in a good margin, showing that the proposed solution helps get more effective in inappropriate content classification.
The impact of digital accounting on the quality and transparency of information presented by organizations using ERP systems. Opportunities for Cloud ERP Vs. On-premise ERP

"The rapid progress of IT technologies in recent years was favored by the emergence of the phenomenon of digitalization, especially in the field of accounting. The purpose of the legislation and standards is to accord support for continuous development of both IT technologies and the organization. The main objective of this paper is to observe the manner in which the digitalization of accounting influences the quality and transparency of information if employees use ERP systems. In order to study the role and opportunities offered by ERP systems on accounting, the author used a study based on the review of the literature, but also on the analysis of the results obtained using the constructed questionnaire. The results show that ERP systems have a positive effect on the digitalization process and most respondents believe that an ERP system on a Cloud server is considered much more efficient and secure than an ERP system based on a local server (on-premise)."
Formulation of precise short neural network code

In Deep Learning Artificial Neural Network is a comprehensive and mathematical way of explaining a simple 2-layered neural network by coding one from scratch in python and behind the scenes of such popular algorithms. First, we provided with a rationale view of the study behind the elaboration of these algorithms and mathematical intuition behind them. Then, we dived into the coding of neural network mixing python lines of code and mathematical equations. In this research, we created a two-layered neural network with a hidden layer to minimize time and effort resulting with more accurate and efficient output, but the idea remains the same for more than two-layered neural networks. Finally, we worked on how we could publicize our model and make it more adaptable for solving complex real-life issues and our experimental results showed that our 2-layered network model could achieve more accuracy and reliable measures as compared to other network methods for solving such complex problems.
Attendance System on Moving Objects through Face Recognition using MTCNN and CNN

Face detection and recognition using the eigenfaces method accuracy is decreased when there are changes in object distance and lighting levels. The objective of this research is to propose an automatic presence system through face detection using the MTCNN method and facial image recognition using the CNN method. The CNN architecture used in this study is VGG16. Based on the test results, the MTCNN and CNN algorithm can handle the changes in object distance and lighting levels. The face detection system has an average error value of 17%, calculated using MAPE; the error rate is high because other objects cover faces, and some faces use face-covering attributes. The facial recognition system has an average accuracy value of 78% for the first architecture and 87.3% for the second architecture.
Technology and Social Communication: Challenge for Gojek Female Riders during the Covid-19 pandemic

This research aims to know the Gojek female riders survive during the pandemic by optimize their ability of social communication through technology. A qualitative approach and case study method are used in this research. Media Richness Theory has become a tool to explore and to analyse. The result has shown that technology has helped the Gojek female riders by providing channels, tools, and opportunity to improve their life. In parallel, the limitation and complexity of technology has also developed their communication skill to keep their job during the pandemic Covid19. It is an obligation that come unpredictably however must be handled. No training no brief information nothing provided but in the end sharpening their social communication skills within their interaction using the application has become the best solution.
Face Recognition Concept for Reservation System in Trainer Kit Computer Vision

The COVID-19 pandemic has an impact on changes in human lifestyles, one of the aspects affected is the field of education where students are encouraged to take part in learning activities from home. The teacher also has to come up with a new learning strategy, especially for practicum. One of the solutions is to create a trainer kit that can be accessed remotely. In Universitas Pendidikan Indonesia this solution would be implemented. But along the trials of the trainer kit we’ve facing trouble to identify who’s using the trainer. To verify the student is the one who’s using the trainer, we come up with a solution to implement a face recognition system. The system is implemented on a web application integrated with the reservation system. The results of this additional feature can bring more certainty to the learning process. Furthermore, it has proven to distinguish and recognize students’ identities by storing their faces as a sample. The local test has shown a significant performance on how this system can work by making 7 out of 10 correct face recognition.
Effects of Computer Assisted Task Based Listening Learning on Ethiopian Students’ Listening skills development

This paper examined effects of computer assisted task based listening learning (CATBLL) on students’ listening skills development. The participants were freshman students of Adama Science and Technology University in 2019/2020 academic year. The experimental group was treated with computer assisted task based listening skills instruction approach while conventional method was employed for control group. Teacher made tests and students’ self-reflection journal were the data collection instruments used in this study. For the analyses of numerical data, paired sample t-test and independent samples t-test were computed. Qualitative analyses were done for the data obtained through students’ self-reflection journal. Based on the findings, the proposed approach resulted in a strong and significant effect on students’ listening skills development. A statistically significant difference was confirmed between the experimental group and the control group in terms of their listening achievement score. The results of qualitative analyses depict that the majority of the students in computer assisted group showed positive feeling towards the approach; they also reflected that they relatively improved their listening skills. This implies that computer assisted task based listening skills learning approach appeared to facilitate individual learning, and increase students’ concentration. Thus, one can conclude that computer assisted task based listening skills learning approach facilitated students’ listening skills development than the conventional one. Hence, it is advised to incorporate CATBLL in English language education is valuable in the digital world
Hybrid Certainty Factor and Dempster Shafer to Diagnose Shallot Disease in Precision Agriculture

Agriculture sector in Indonesia, especially the shallot commodity, is still problematic with many cases of farmers failing to harvest. Of the many causes of crop failure, one of the causes is disease in plants which is very difficult to predict. This will be very detrimental not only to shallot farmers, the community will also be affected by the increase in the price of shallot in the market due to decreased production due to crop failure. So that diseases in shallot plants can be detected early, an expert system is made. This paper proposed hybrid method of Dempster-Shafer and Certainty Factor methods which are suiTable for disease expert systems. Experimental result shows that the two methods can also collaborate each other to produce more accurate disease diagnosis results.
Supervisory System Based on Image Processing Using Library Open Computer Vision In Tool Management System

Currently, the supervisor of the availability of work tools in the tool management system is still done manually by the laboratory assistant in charge of recording the process of borrowing and returning work tools. However, there is already an automatic work tool detection system based on image processing. However, the system created often still has various errors in the detection results because there is often a decrease in the level of accuracy. This final project aims to improve the ability of open computer vision, which can replace human visual functions to support detection results to increase the accuracy of system performance with parameters of light intensity, camera distance, and work tool position. The development of the computer vision library is carried out using you only look once (YOLO) method to achieve an accurate tool management system and supported by room restrictions using automatic doors that can identify the users' identity. The result of the final project that has been made is that it can develop the performance of open computer vision to improve the accuracy of the detection system with an average accuracy value of 91%. The plan that has been made can be realized to record borrowing and returning transactions for work tools automatically and a website that can be used to provide information on the availability of work tools.
The role of computer users associations in the development of software in the USSR

The appearance of serial computers of the Ural and M-20 series in the Soviet Union reduced the level of secrecy around computers. But there was a problem of lack of the necessary literature, training courses and teachers. The barrier in the form of censorship and strict planning for the publication of literature and conferences for years to come greatly hampered the spread of system software. A simple way out in the form of creating a public organization of computer users, which would train specialists and disseminate technical literature, was impossible in the USSR. This paper explores the emergence of a structure that to some extent weakened the tight grip of censorship and strict planning - the Commission for the Operation of Computers M-20 at the Presidium of the Academy of Sciences. Having become a very influential organization, it had a significant impact on the creation and development of subsequent associations (commissions), which made it possible to solve the problems of dissemination of knowledge and accessibility of information at least partially in the field of computers.
Virtual Exhibitions as an Interactive Educational Tool

Exhibitions and exhibition reviews are known practices in several disciplines. Some of these disciplines have an artistic nature that allows critiques and face-to-face interaction to triangulate the exhibited work from practice, reflection, and future possibilities. The Covid-19 pandemics restricted face-to-face exhibitions, which allowed other forms of virtual nature to develop. Online exhibitions are events that can be viewed on digital devices like computers and mobile phones using the internet anywhere, any time and any place. Nowadays, it is considered one of the best ways to disseminate digital artifacts information in any area, including Art, Heritage, Design, special Museum or temporary Exhibition collections. This research explores the validity and potential of virtual exhibitions using social media platforms to exhibit designed products. The research reflects on the process and collects qualitative data from 2020 and 2021 virtual exhibitions of design projects and products exhibited on the &#x2018;Instagram&#x2019; social platform. The experience of 38 exhibitors and 15 jurors was recorded and analyzed to understand the potential of this learning experience. The results indicated the success of the experiment and allured the possibility of adopting this learning method in more disciplines where cost and complexity are replaced with efficiency and extreme interactivity. This sustainable academic practice may then be adopted as a regular one considering its relatively free cost and extremely high educational benefits.