Reviewerly/exHarmony huggingface dataset:
Implementation of Decision Tree Algorithm Machine Learning in Detecting Covid-19 Virus Patients Using Public Datasets

The advancement of AI (Artificial Intelligence) technology has been widely implemented in numerous sectors of daily life. Machine Learning is one of the subfields of Artificial Intelligence. Using statistics, mathematics, and data mining, machine learning is developed so that machines may learn by assessing data without being reprogrammed. At this time the world is on alert for the spread of a popular virus, the corona virus. Coronaviruses are part of a family of viruses caused by diseases ranging from the flu. The disease caused by the coronavirus is known as Covid-19. Therefore, to help identify whether a somebody has coronavirus disease based on certain symptoms, a model is created that can classify people with the covid-19 virus using machine learning. The classification methods utilized in this study are decision trees and large-scale machine learning projects. The study employed Python 3.7 as its programming language and PyCharm as its Integrated Development Environment (IDE). Based on the results, the accuracy rate as expected after conducting various trials is 99%.
Implementation of K-Nearest Neighbor Method and Weighted Product Method in Determining High School Majors

High school education in Indonesia is divided into several majors that have been determined by the ministry of education. The Major will also have an influence on students when they will continue their education to the university level. Therefore, students must be placed in majors that are in accordance with their abilities and desires so that they can complete their education well. To assist the school in providing advice on the division of student majors and provide more accurate results, the authors conducted research using the K-Nearest Neighbor method which will classify students so that they are classified into students majoring in science and social studies. K-Nearest Neighbor is used because it can classify student testing data in the case of class 2020 by adapting solutions from student training data in cases of class 2019 based on the data they have. Furthermore, so that student data that has been classified can be sorted based on the best value so that class division can be carried out according to the results of the sequence of students in each majors, the Weighted Product method is used. The Weighted Product method sorts student data based on criteria values that have different weight values. The results in this study provide the highest accuracy value for the K-Nearest Neighbor method using the k value configuration of 88% and the accuracy value 84% for using the Weighted Product method.
Development of the Concept Design of Rooftop Solar Power Plant Practice Tool

Solar energy source as an alternative to gain electrical energy continues to grow. One of the utilization systems is to use the solar panels on the roof top of the house. The Household-scale of Solar System Power Plant has been widely used. This case requires skilled workers for the installation of this system.&#x0D; This study aims to develop a household-scale of Solar System Power Plant practice tool into a complete system. The used method begins with a literature study and then continues with the design system. The results obtained are a household-scale Solar System Power Plant tool design that can describe a complete system of the electrical energy distribution. The concept of a practical tool that previously only focused on the mechanical installation of solar panels but now become more complete with the addition of an electrical energy distribution system.
Android-Based Sign Language Learning and Evaluation Apps

Sign language is a language that prioritizes body language and lip movements, not sound, in communicating. The deaf and speech impaired are the main group who use this language by combining the form of finger movement, orientation and movement of the hands, arms, and body, to express their thoughts. This application uses pictures and questions to find out the information they convey. So this application was designed so that it can help the general public to receive information from the deaf and speech impaired by using Black Box testing to test for functional errors contained in the application.
Disaster Victim Service Application at the Social Services of Tangerang District

The social service of Tangerang District is a government institution that caters to the social welfare problem and one of the services that will be discussed is the service of disaster victims in the district of Tangerang that have not been computerised so that the running system is less efficient. The process of service that is still having difficulty due to the collection of disaster victims is still far from the word accurate and to get the service should often visit the office so it takes a lot of wasted time. Since the system is running less efficiently, a Disaster Victim Service Application has been made which is computerized and runs more efficiently. The method used in data collection is observation, interviews, and literature study. In analyzing a system using the PIECES method (Performance), (Information), (Economy), (Control), (Efficiency), (Service) to make it easier to analyze the running system and provide solutions in making application programs and writers in making application design with visual modelling using UML (Unified Modelling Language) to make a diagram, Hypertext Preprocessor (PHP) as a programming language, and MySQL as a database to be used in the system. The results of the design discuss how to create a system that runs and the proposed system and the existence of this system can facilitate service employees in receiving accurate reports so as to shorten the time of handling in serving victims affected by disasters.
Classification of Public Complaints Basedon Text Mining Using Modified K-Nearest Neighbor, Naïve Bayes and C4.5 Algorithm

To improve public services, accuracy and acceleration are needed in classifying the types of complaints so that complaints can immediately get a response from the relevant regional apparatus. This public complaint data is in text form and is not balanced in each category of regional apparatus, so we contribute to research to compare the performance of different text mining-based classification algorithms. In addition, we also tested the resampling method to overcome imbalanced data. In the final stage, testing is carried out using a multiclass confusion matrix table to show accuracy, precision, recall, and f1-score. The test results show the highest value in the Naïve Bayes algorithm with the ComplementNB model without resampling data, which is 89.58% accuracy, 86.72% precision, 82.40% recall, 84.09% f1-score. However, all scores decreased when combined with SMOTE resampling of 83.66% accuracy, 67.79% precision, 80.35% recall, 71.68% f1-score. ComplementNB can be an alternative model in the classification of public complaints with imbalanced datasets
Rancang Bangun Website Sistem Informasi Pemesanan Desain Interior Dan Eksterior Perkantoran

With the rapid development of technology, business competition is getting tougher in the company, thus encouraging the emergence of new innovations to meet the needs of companies with technology that is able to support all work activities quickly and accurately. The ongoing business process at Onna Kreasi Aesthetics is semi-computerized in recording sales transactions, thus hampering the smooth running of reports. The purpose of this research is to analyze the company's ongoing business processes, provide recommendations and design a sales information system that can support the company's operations. The PIECES analysis method is used in this study, UML is used to describe or describe the running system and the system proposed in this study. Black box testing is used to find out whether the system created is running well or not. This research produces a system that can facilitate transaction data collection, and is reliable. Proving results that the system created can help the company's performance in carrying out ordering activities, and monitoring sales so that business processes can run faster and ensure accurate and quality data sources.
Rancang Bangun Sistem Informasi Penjualan Makanan Beku Berbasis Web Menggunakan Framework Laravel

To market a product is usually done by offering it to many people you meet or giving brochures. However, if a product that is sold and offered to potential buyers is not everyone's consumptive product, then the marketing must be different. The use of digital media in the current technological era, it is highly recommended to market products as a means of selling such as a sales website. With the waterfall method, which is assisted by a framework such as Laravel, which makes it easier to make websites more neat and structured. With the hope of increasing the percentage of sales and achieving sales targets.
Virtual Museum Sebagai Sarana Penyampaian Makna Seni Dan Sejarah Di Masa Pandemi

The formulation of the problem obtained is a Virtual Museum which can display or visualize objects in the museum and become a medium that provides information about historicalobjects in the museum. In this study we used descriptive-qualitative and phenomenological methods. This study also intends to find out the different adaptations of using virtual technology and the impact on each person's use, because if the impact is good for some people, but can not be generalized as good for all users.This research shows that by providing virtual space, realizing the vision and the mission to hold an art exhibition is not impossible, because there are many resources and technology that we have and can learn from. During this COVID-19 pandemic we are not allowed to travel and visit. With this virtual museum, we hope that art connoisseurs and the public are satisfied and can feel they are in a virtual museum during this pandemic.
Implementasi Algoritma Rabin Karp Pada Aplikasi Muroja’ah Hafalan Al-Qur’an Menggunakan Google Speech API Berbasis Android

The muroja'ah application in Al-Qur'an memorizing is an android-based application that is used to help memorizers of the Al-Qur’an in doing muroja'ah memorization. The application is built using Speech Recognition in Artificial Intelligence (AI) technology by implementing the Google Speech API and the Rabin Karp Algorithm to convert the user's speech into a string which is then compared with the correct verse string. As for data collection methods, the author uses qualitative research methods, by conducting observations, interviews, and literature research. The application that was built successfully implemented the Google Speech API feature along with the Rabin Karp Algorithm with the output displaying information about the correct status or not along with the percentage accuracy of the similarity between the correct verse data and the voice spoken by the user.
Perancangan Aplikasi Sistem Informasi Stok Stiker di Gudang Ban PCR Berbasis VB.NET

With the rapid development of information, warehouses need to manage their daily activities. need proper management of production receipts, warehouse storage, and delivery according to customer delivery schedule. The three processes use check sheets carried out by workers in the area. The use of check sheets resulted in workers inputting very large number of sticker data. then the need for an information system on the stock sticker contained in the PCR tire warehouse. The information system uses the Unified Modeling Language approach or can be called UML so that it is easier to understand. The information system is arranged using a desktop application to monitor sticker stock in the field. The method used in designing the application is the waterfall method, the waterfall method contains planning, modeling, design or development, and implementation. The results obtained from this study are an information system that presents data in the form of the actual number of stickers in the field so that the number of sticker items can be monitored.
Rancang Bangun Website Pemasaran dan Penjualan Properti (Study Kasus : PT Indah Cemani Raya)

Property sales business is a business activity of buying and selling goods and services related to property (buildings and land). Business in the property sector is a type of business that is quite promising. With the increasing number of competitors in this property business, developers must be more active and innovative in introducing products, so a solution is needed to attract many buyers by using an e-commerce system. The problems faced in this sales system are still in a less broad scope, data management still uses a handwritten media system on a sheet of paper so it takes a long time, and monthly report storage media still uses a ledger that requires accuracy. The designed system produces fast, precise, and accurate information in the entire process, both in terms of data input, transaction processing (orders), to output. The development method used is a prototype model and the PHP programming language so that the website runs dynamically which is supported by a MySQL database. The solution obtained from the above problems is to build a website-based online sales system, so that sellers and buyers do not meet face-to-face. With this system, it is expected to expand the area and facilitate sales marketing and increase and make it easier for the public to get information.
The Results of Experimental and Methodological Work With the New Uav-Tem Technology on Lake Baikal

Summary Nowadays magnetic and gamma surveys using UAV technologies are widely used in the practice of geological exploration. However, until now electromagnetic sounding in the UAV version is practically not used, but is very promising. In this paper, we consider the results of testing the UAV-TDEM technology. This technology is a time-domain transient electromagnetic sounding on a lightweight UAV. A measuring system with an inductive sensor (receiving loop) is towed by a UAV, and a galvanically grounded power transmitter is on the ground and connected to a pulse generator. The testing place was not chosen by chance: Baikal Lake is a unique geological formation with a rather simple one-dimensional geoelectric model at first glance: a fresh water layer with a resistivity of about 200 Ohm m, under which there are low-resistivity bottom sediments. 3D modeling, performed taking into account bathymetry, has shown that under a water layer with a thickness of 200–300 m a high-resistance objects are found in conductive sediments to a depth of at least 200 m. Some of them are extensions of coastal geological structures. As a result, the depth of the UAV-TDEM technology in these geoelectric conditions is estimated of about 500 m.
Planning and Implementation of Hybrid Event Case Study: Muslim Fashion Festival (MUFFEST), March 18-28, 2021 in Jakarta

This study aims to analyze the planning and implementation of Hybrid Event in Jakarta "Muslim Fashion Festival (MUFFEST) 2021" in Kota Kasablanka Mall and to identify the hybrid elements used during the event. This research method uses qualitative descriptive with a case study approach. Sources of data are obtained through observations with field notes, interviews, and documentation. Data collection techniques used in this study are: interviews with key informants such as Organizer, Supplier, and Venue. Also, literature study was used for qualitative data. This study indicates that the planning and implementation of the event has met all the required aspects. In the hybrid element, this event is also broadcast via live streaming on YouTube, Zoom, Instagram, and the V-Mix application. This study recommends incorporating hybrid elements, such as applications that support virtual exhibition activities and examine the experience of visitors attending the Hybrid Event.&#x0D; KEY WORDS: Planning, Implementation, Hybrid Event, Festival
Contextual-Based Qiroatul Kutub Learning Using The Plickers

During the past decades, Qiroatul Kutub has been adopted as the learning model, therefore, this study is aimed to explore the development of the Qiroatul Kutub model using the Plickers application and the feasibility of it. Driven by Borg and Galls model of research and development (RnD), the researchers collected the data through documentation of 35 University students including expert assessments of learning method, materials and media. The expert validity test is based on 3 aspects of the module, learning model, and learning media using five scale analysis techniques, namely very good to very poor. From the expert validity test, an average score of 3.7 (A) was obtained, which was very good in terms of modules, learning models, and learning media, while the limited test to 32 student respondents obtained 3.8 (A) or very well from 3 aspects. Then after the revision, field testing was carried out and got an average score of 4 (A) or very good with an increase in student achievement from the pre-test and post-test results of 19.15%, indicating that the development of this learning model is very feasible to use. Drawing on the findings, this study provided an insightful finding on the adoption of Plickers application in Arabic reading skills. Thus, the teacher could incorporate this application to gain better students reading skills.
Retraction: Research on Landscape Design Assistant System Based on Artificial Intelligence and Information Technology (J. Phys.: Conf. Ser. 1744 022103)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Development of Traditional Literature Database Based on Big Data (J. Phys.: Conf. Ser. 1648 042053)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Development and Innovation of Music Course Teaching Mode Based on Big Data (J. Phys.: Conf. Ser. 1744 032018)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Construction of Practical Teaching Evaluation System of Mechanical and Electrical Specialty in Colleges and Universities Based on Computer Multimedia Technology (J. Phys.: Conf. Ser. 1648 032151)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Creative Cultivation of Cultural Speculative Ability of College English Teachers Based on Computer Assisted Technology under the Background of Cultural Confidence (J. Phys.: Conf. Ser. 1648 022172)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Practice of Hybrid Teaching Mode of English Writing Based on Artificial Intelligence (J. Phys.: Conf. Ser. 1648 042062)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022