Reviewerly/exHarmony huggingface dataset:
Retraction: Polyethylene glycol-doped BiZn<sub>2</sub>VO<sub>6</sub> as a high-efficiency solar-light-activated photocatalyst with substantial durability toward photodegradation of organic contaminations

Retraction of ‘Polyethylene glycol-doped BiZn 2 VO 6 as a high-efficiency solar-light-activated photocatalyst with substantial durability toward photodegradation of organic contaminations’ by Mahsa Pirhashemi et al. , RSC Adv. , 2018, 8 , 37480–37491, https://doi.org/10.1039/C8RA06896H.
On codes over product of finite chain rings

In this paper, codes over the direct product of two finite commutative chain rings are studied. The standard form of the parity-check matrix is determined. The structure of self-dual codes is described. A distance preserving Gray map from the direct product of chain rings to a finite field is defined. Two upper bounds on minimum distance are obtained.
The Analysis of Batata Sentence of Ciacia Language in Traditional Medicine

Batata is one of the aspect of mantras lyrical that lexically can be understood and its contextual meaning based on the necessity. Batata sentence in traditional medicine has not been conducted yet. It is the one of various linguistic aspects. The study present deals with the sentence analysis of batata in traditional medicine of Ciacia language. It has main objectives is formulating and analyzing types of sentences batata in Ciacia language. This is a kind of descriptive-qualitative research which employs a distributional method in data analysis with the underlying theories of syntax. The data taken from informan directly when he has been acted patient treatment for the several times. The result of this study, it found that sentence of batata is filled by Imperative sentences filled by the swear marker consists of pindongo ‘hear’ + S + P + O and compound sentences consist of two clause and four clause. It can be formulated syntactically [if + S + P + Pel] as first clause, while [S + P] as second clause, and [if + P- (no) as first clause, while [S + P] [S + P] [S + P] as second, third, fourth clause.
The Use of English on Linguistic Landscape in Tulungagung: The Initial Evidence of Language Battle in Public Space

The widespread use of English is depicted in the Linguistic Landscape (LL) in Tulungagung competes the Indonesian language (the national language) and Javanese language (the local language). The present study is aimed (1) to view the position of English language among the existing languages, (2) to investigate what motive that urges a signage owner in acquiring English, and (3) to explain the role performed by English in society. A descriptive qualitative method in research is carried out to explain the phenomenon. Data were collected from an observation of languages appear on signage and an interview to the signage owner. This study is set up in Tulungagung Regency that characterized as the Central Business District (CBD). From the total 460 photographed signages observed and the interviews done, it is shown that English in society is not more dominant than the Indonesian language in use as explained by Landry &amp; Bourhis (1997) but as the interviews done with the signage owner, it narrates that English carries some characterization proposed by Piller (2001) that urge a party to acquire English and it also plays significant roles in society, specifically in business field as stated by Lee (2019). Thus, it challenges the use of local language, the Javanese language, since English appears within its excellence.
Factors affecting the grade point average students of FMIPA Universitas Negeri Padang with binary logistic regression model

Today, everyone places a high importance on their education. Learning is how education is implemented, and learning allows people to reach their full potential. Since learning is a process and learning achievement is the end consequence of the learning process, learning and learning achievement are inextricably linked. Learning achievement levels are assessed using GPA (Grade Point Average). Allowance, gender, major, status of residence, school location, study time, admission type, duration of gadget use, and personality type are all factors that affect GPA. In order to identify the components that influence academic accomplishment, a model must be developed since it can be understood, explained, controlled, and forecasted. This study's goal is to identify the binary logistic regression model, which describes the variables influencing the faculty of mathematics and natural sciences at Universitas Negeri Padang's GPA. The aim of this study is to identify the logistic regression model that represents the variables that affect the GPA of the Faculty of Mathematics and Natural Sciences at Universitas Negeri Padang. Secondary and primary data were employed in this study, and questionnaires were used to collect the data. The 2020 students made up the study's sample, which included 293 respondents. According to the study's findings, factors such as gender, major, admission type, and duration of gadgets use may have an impact on students' GPAs at the Faculty of Mathematics and Natural Sciences at Universitas Negeri Padang. The percentage of correct predictions between the logistic regression model and training data is 70%.
Prediction of the number of daily active COVID-19 in Indonesia

In Indonesia, the coronavirus disease (COVID-19) decreased from April to May 2022 and in-creased slowly from May to June 2022. Statistical predictions are needed to monitor the increase in cases of this pandemic spike, as happened at the end of February 2022. This study aims to predict the rise in the number of active COVID-19 cases by applying the autoregressive integrated moving average (ARIMA) mathematical model. and multiple linear regression (MLR). Daily observation data of active cases, new cases, recovered cases, and deaths were recorded from January to June 2022 totalling 152 observations. Then ARIMA modelling for active cases and MLR modelling for daily active case observation data that depended on new cases were carried out , recovered, and died. Furthermore, the prediction results from the two models were determined the root mean squared error (RMSE), the mean absolute error (MAE), and the mean absolute percent error (MAPE). From the calculation results, the ARIMA model is smaller than the MLR. However, the prediction of the next thirty days in the MLR model is close to the actual value, while in the ARI-MA model it is below the actual value.
Retraction: A SIFT-FREAK Based Framework for Coastline Image Stitching (J. Phys.: Conf. Ser. 1673 012038)

This article has been retracted by IOP Publishing following a request from the authors to retract the article as it contains considerable duplication to another article by the same authors [1]. IOP Publishing has investigated in line with COPE guidelines and agrees that the article contains significant duplication to the author’s previous work. Furthermore, due to the irrelevant nature of the duplicated content, the article makes very little sense. IOP Publishing also see no evidence reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. As such, IOP Publishing agree this article should be retracted. The authors agree with this retraction. [1] X Wu, G Chen, X Ding, K Xie, and G Wei, 2020, Coastal zone image dehazing network based on feature fusion and adversarial training, Proc. SPIE 11584 International Conference on Image, Video Processing and Artificial Intelligence Retraction published: 02 March 2023
Sistem Informasi Perpustakaan Terintegrasi Digital

Libraries are expected to be able to take an important and central role in providing library assistance (Subroto, 2009). The data collection method used in this study is a case study. The term library is also defined as a media center, learning center, educational resource, information center, documentation center and reference center (The American Library Association cited by Mahmudi, 2006). The result of this research is a digital Integrated Library Information System, which presents variants of book information in the concept of e-library or digital library.&#x0D; Key Note: Library Information System, digital and Media
Peningkatan Pengetahuan Dosen Dalam Publikasi Penelitian di Jurnal Internasional Melalui Kegiatan Workshop Scientific Writing

Based on a brief survey conducted by the author to 40 lecturers at FIKES UNSIKA (Faculty of Health Sciences, Universitas Singaperbangsa Karawang) on September 5, 2022, it was found that the number of lecturers who had never written scientific publications indexed by Scopus and WoS was 17 lecturers (43.6%). And in an effort to reduce these problems, it is necessary to socialize and educate about research publications in international journals in the form of workshop activities. Evaluation of participants in scientific writing workshop activities for internationally reputable journals was carried out using pre-test and post-test methods. Based on the results of the pre-test and post-test, it is known that the participants' knowledge has increased overall. And overall the evaluation of the workshop participants' assessment related to the evaluation of organizing activities is good and very good. The participants' suggestions for organizing workshop activities in the future so that they can be scheduled regularly, continuously, and continuously and it is hoped that in the future they will hold a journal article clinic with one on one coaching until submitting the manuscript.&#x0D; Keywords: Workshop, Publication, International Journal, Lecturer, Knowledge
Membangun Kerja Sama pada Sistem Jaringan Perpustakaan Umum

&#x0D; Libraries that provide information. Libraries must be able to provide information for users. Libraries must be able to improve collections and services to be able to meet the needs of very diverse users. To increase a very diverse collection, collaboration within the library is needed. Collaboration is carried out in order to improve library collections and services. Because not every library has a complete collection, collaboration between libraries is needed. Collaboration between libraries is an absolute requirement to fulfill library cooperation. By cooperating, it lightens the work in the library and finishes faster. With advances in technology and all-digital, the needs of users are also increasingly sophisticated, such as electronic books, and can borrow online, it doesn't take much time and saves money because you don't have to come to the library. If there is no cooperation between libraries then the library cannot develop and will just go away, both in terms of collections and services in the library there is no improvement. In this journal, it is also explained how the forms of cooperation in library collaboration are inventory, exchange cooperation, working cooperation, facility provision cooperation, cooperation among librarians. In collaboration, there must also be benefits and improvements both in terms of collection and also services from what develops to progress, and in society. With the existence of a cooperative network, it can also meet the needs of various users. Libraries can also continue and increasingly trend. With the continuing development of the needs of various users, the library also requires several librarians to carry out work in the large number of libraries. In research on building cooperation in public library network systems, researchers use descriptive research methods through journals and books which aim to find out an overview of the benefits of building cooperation in public library network systems.&#x0D; Keywords: network system, public library&#x0D;
Matematika Dalam Analisis Korupsi di Kota Medan Tahun 2023 serta Penanggulangannya

Mathematics always has an important meaning in life, everything in this world is inseparable from the name mathematics, therefore mathematics is also known as the Teacher of Life. With mathematics, all matters of life can be arranged systematically. What's more, besides managing the affairs of life, mathematics is also a reference in managing the future. The knowledge commonly used in mathematics is forecasting (Forecasting). Forecasting in mathematics is used to analyze conditions that may occur in the future, both in the near and long term. One of the applications of the mathematical method with the forecasting method that can be made is an analysis of the level of corruption in Medan City in 2023. This analysis is made as a reference for related parties so that they can socialize about the laws that apply to criminal acts of corruption in order to realize release to the public. The method used in the analysis of corruption figures in Medan City for 2023-2024 is a quantitative method using a mathematical model, namely Double Exponential Smoothing. The results of the analysis obtained are that the corruption rate in Medan City in 2023-2024 has decreased. However, this figure may not be achieved if corruption is not prevented in a certain way.&#x0D; Keywords: Forecasting, Mathematical Methods, Corruption, Community Service
Introduction

International Journal of Neural SystemsVol. 33, No. 04, 2303001 (2023) No AccessIntroductionJosé Manuel Ferrández, Eduardo Fernandez, and Juan Manuel GorrizJosé Manuel FerrándezUniversidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Spain, Eduardo FernandezUniversity Miguel Hernández, Elche, SpainJohn Moran Eye Center, University of Utah, Salt Lake City, EE.UU., and Juan Manuel GorrizUniversity of Granada, Granada, Spainhttps://doi.org/10.1142/S0129065723030016Cited by:0 Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles in neural networks today! FiguresReferencesRelatedDetails Recommended Vol. 33, No. 04 Metrics History Published: 2 March 2023 PDF download
COMPARATIVE STUDY AND EVALUATION OF TEXT CLASSIFICATION APPROACHES IN NLP USING DIFFERENT ALGORITHMS

Categorizing text has its own relevance and importance.The process of determining a text's categorization is called "Text Classification."Text is the most prevalent type of unstructured data.Due to its chaotic nature, the time and effort required to analyse, organize, and filter through the text data -most researchers do not fully utilise it.This is a study and analysis where text classifiers can swiftly and accurately categorise all types of text for businesses, including emails, legal documents, social network postings, chatbot messages, surveys, and more.Business operations can be automated, and decision-making processes can be made more effective as a result of text classification.Support Vector Machine(SVM), Naive Bayes, Roccio classification, K-Nearest Neighbour, Random forest and other methods are some of the methodologies used in NLP for Text Categorization.This paper explains the above text classification methods and its impact and effectiveness on Text Categorization.
DEVELOPMENT AND COMPARISON OF DEEP LEARNING MODELS FOR SEGMENTATION OF SATELLITE IMAGES FOR LOCALIZATION OF SOIL EROSION

This work is devoted to solve the problem of automatic determination of the geographic location of soils showing signs of degradation. The work carried out a detailed study of the existing literature on the subject, considered algorithms and approaches to solving the problem and their advantages and disadvantages, as well as proposed evaluation criteria and a basic algorithm for comparison with the results of further research and experiments. This approach provides an adequate assessment of the quality of image segmentation software development. Since machine learning algorithms require pre-processing of data, and there are also certain features of working with satellite images, a number of functions have been developed that can be used by such algorithms in the future. The result of the work is a developed software package for downloading and processing satellite images, as well as training and evaluation of deep learning models.
PENERAPAN EXTREME PROGRAMMING DALAM PENGEMBANGAN SISTEM INFORMASI PENJADWALAN KULIAH JURUSAN AKUNTANSI POLINES

Scheduling is a routine job that is carried out every semester in the college academic system. There are two schedules that are often found in universities, namely the scheduling of lectures and exams, both theoretical and practical. The scheduling process is a process for implementing events that contain components of courses, lecturers, classes and semesters in time slots that contain time and space components. Many aspects must be considered in order to process optimal class schedules and exams. The problem that occurs at this time is the process of making teaching decrees for lecturers which is automatic from the existing system. Research begins with planning, designing, coding, and testing. With the improvement of the scheduling information system using extreme programming, it is hoped that it can help make teaching decrees in the Polines Accounting department.
INOVASI PEMBELAJARAN SENI TARI BERBASIS ANDROID DI MASA COVID 19

During Covid 19 the learning process experienced very severe obstacles, one of the 03semarang Elementary School and Elementary School 01 Semarang. In this study the Android application was used to support the dance learning system where students had to learn their own dance arts at home using the Android application. From the interviews conducted as many as 66.3 % like learning with mobile phones and 72.1 % understand the theory in the Android application so that when learning with mobile phones can easily understand. But for learning the practice of dance 54.7 % does not understand it. This may be the video displayed is not suitable for elementary students so you need a suitable learning video for learning that requires movement.
Automatic System of Sound and Light Intensity for Swiftlet House

In cultivating swiftlet nests, some swiftlet breeders still find it difficult to summon sounds and control the intensity of light in swiftlet houses. As for the bird calling technique by playing the audio of the swiftlet without having to be heard at any time and there is also a certain hour, an automatic time system is made so that the on/off audio swiftlet process can be properly organized and also the intensity of light entering the swiftlet house is too bright, so breeders close the ventilation holes with insulation or wood, so the system will be made to control light intensity by using automatic opening or closing of curtains/windows, where when the swiftlet house is bright, the curtain closes, while when the light of the swiftlet house is dark, the curtain opens. RTC DS3231 and LDR sensor which functions as a detector of sound time and light intensity, the NodeMCU ESP8266 microcontroller which functions as a data processor so that results can be displayed on the LCD. This research was conducted in stopover Village, stopover District, West Kutai Regency. Data collection methods used are literature study, interviews, and observation. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment.
Application of Collision Detection in Arjuna's Adventure Game

This research makes how to build a 2 dimensional game with the theme of a young man named Arjun who is on the battlefield and is attacked by "Buto Ijo's troops and must go through attacks from Buto Ijo's troops to protect the “Banakeling” kingdom. The background in taking the theme Arjuna game with side scrolling game to make this game easy to play. In game research that was built using the stages of multimedia development and also using the collision detection method. The Arjuna’s Adventure Game is built based on Android. The design system in this study uses a flowchart. Testing is done with the White Box and Black Box.
Optimized Distributive Arithmetic-based Hardware Accelerator for Dual Tree Complex Wavelet Transform Computation

Hardware architectures for fast computation of complex wavelet transforms for image processing require optimized design approaches. The Dual Tree Complex Wavelet Transform (DTCWT) is twice as complex as the Discrete Wavelet Transform (DWT) and was designed while considering the distributive arithmetic (DA) algorithm, which is customized for the design of a 10-tap filter architecture. Redundancy in the filter coefficients was considered in optimizing the DA partial products, reducing the area resources by 97.65%. The reduced architecture was modeled in Verilog HDL and implemented on a Xilinx FPGA. The operating frequency is 312 MHz, and the power dissipation is less than 1 W. The proposed model is suitable for high-speed computation of DTCWT sub-bands on an FPGA platform.
ANALISIS DAN PERANCANGAN DASHBOARD DATA KARYAWAN PADA PT SOLEN SYSTEM INDONESIA DI YOGYAKARTA

PT Solen System Indonesia is a company engaged in the manufacture of software. PT Solen System Indonesia has employee data containing sprint review data. Sprint review data is data per week that is inputted into the google sheets file. With the data number reaches from 24 google sheet files over a period of one year, admins have difficulty because they have to access google sheets files one by one to be able to view employee performance data. Admin cannot know the extent of the performance of each employee in completing the workload in a certain period. Thus, a website-based strategic dashboard was created using the User centered Design (UCD) method. The dashboard was then tested using usability test and SUS. Results of the dashboard test for the admin and all employees of PT Solen System Indonesia obtained an effectiveness value of 89%, efficiency of 78% and satisfaction of 85%.
WEATHER FORECAST FROM TIME SERIES DATA USING LSTM ALGORITHM

Accurate weather forecasts play an important role in today's world as various sectors such as marine, navigation, agriculture and industry are basically dependent on weather conditions. Weather forecasts are also used to predict the occurrence of natural disasters. Weather forecasting determines the exact value of weather parameters and then predicts future weather conditions. In this study the parameters used are. Different weather parameters were collected from the Serang Maritime Meteorological Station and then analyzed using a neural network-based algorithm, namely Long-short term memory (LSTM). In predicting future weather conditions using LSTM neural networks are trained using a combination of different weather parameters, the weather parameters used are temperature, humidity, rainfall, and wind speed. After training the LSTM model using these parameters, future weather predictions are performed. The prediction results are then evaluated using RMSE. Prediction results show that the model is more accurate when predicting temperature data with RMSE 0.37, then RMSE wind speed 0.72, RMSE sunlight 2.79, and RMSE humidity 5.05. This means that the model is very good at studying weather data, inversely proportional to humidity data.
ANALYSIS OF SOFTWARE DEVELOPER PERCEPTIONS TOWARDS THE SELECTION OF JAVASCRIPT FRAMEWORK IN BATAM CITY

Javascript Framework has been used by a lot of developer in Batam. There are many Javascript Framework with similar functionality. this research aims to find out the influence between performance expectancy, effort expectancy, social influence, and facilitating conditions on developer decision in using Javascript Framework. Our qualitative research have 30 respondent and our quantitative research have 359 respondent. This research used disproportionate random sampling and the method we used in this research is multiple regressions methods. The result of our hypothesis testing state that there is significant influence performance expectancy, effort expectancy, social influence, and facilitating condition to use behavior.