Reviewerly/exHarmony huggingface dataset:
Evaluating effects of ICT on materials management at Electricity Company of Ghana (ECG) Takoradi

This study was carried out to assess the effects of Information Technology on material management.This was undertaken using Electricity Company of Ghana (Takoradi) as the case study.The study focused on staff of ECG and questionnaires were used to collect relevant data.There was 100% response rate.The findings revealed that ECG performed some materials and warehouse operations and activities which included material estimation, budgeting, planning and programming.The findings also revealed that the use of information technology helps to reduce time spent on material purchasing and also reduces the time to source materials.On effects of information technology on material management, it has helped to provide timely customer service, keep track of items, and there is as well potential loss of proprietary and confidential information in using information technology.The researcher' work revealed that there can be technological cost, for example, software use for effective and efficient material and warehouse operations.The study therefore recommends that; the organization should strive to ensure warehouses are adequately automated by management systems that can improve how materials can be managed.Also, employees should undergo further training in order to adapt to the emerging technologies for materials and warehouse operations to be effective.The level of materials handling must be high, in order to know the minimum and maximum level of material to control demand estimation and procuring of materials.Backup plans must also be provided in case information technology on warehouse management fails, so that challenges will not arise.
Retraction: Prediction of Presence of Breast Cancer Disease in the Patient using Machine Learning Algorithms and SFS (IOP Conf. Ser.: Mater. Sci. Eng. 1099 012003)

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1]. IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper [2], to the extent that the article makes very little sense. This casts serious doubt over the legitimacy of the article. IOP Publishing wishes to credit PubPeer commenters [3] for bringing the issue to our attention. The authors neither agree nor disagree to this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals, arXiv:2107.06751v1 [2] V Chaurasia et al 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1099 012003 [3] https://pubpeer.com/publications/078B0582B40667762452422CFD5A00 Retraction published: 12 May 2023
Composition of a Research Paper

A research paper is a verbal presentation of research finding in reliable and persuasive manner. A researcher has a problem/question or questions on particular subject, area or issue. A research finds the answer to this question. The answer of this question is the finding of the research. A thesis statement is a sentence that includes the finding of the research, the main point of the research paper. The paper clearly states the main point and supports it with reasoning, data, examples and interpretations. The topic of the research paper includes the research area and the perspective of the researcher on it. In other words, it attempts to provide a glimpse of the main point as far as possible. The topic is linked to thesis statement. The thesis statement is clarified and a bit more elaborated in abstract. "Keywords" in research paper lists some words that are closely related to the main point of the paper. Introduction briefly presents the background of the research area and perspective (theory). Literature review surveys earlier researches and finds the research gap. The purpose of the research is to fill this gap. The secondary sources like books and articles are acknowledged and cited in the text and listed in the references. Introduction and literature review are based on secondary sources but analysis and interpretation has your own voice. We can use the earlier researches and books in our paper but the statement of the paper should be different from earlier works. Others' views should not dominate our paper but our own voice should be leading others with additional emphasis.
Pemanfaatan Cyberlink PowerDirector Pada Pembelajaran Menulis Teks Laporan Hasil Observasi (Utilization of Cyberlink PowerDirector in Learning to Write Text Observation Reports)

This study aims to develop a Flipped Classroom learning model assisted by the Cyberlink PowerDirector application in learning to write Observation Reports (LHO) texts. This type of research is research &amp; development (R&amp;D) which modifies the 10-step Dick &amp; Carey model into 7 stages. The instruments used in this study were validation sheets, questionnaires, observation sheets, and observation report format sheets. A limited try-out was conducted on class VII students of SMPN 16 Cimahi and a wide try-out was carried out on class VII students of SMP Al-Amin Cimahi. The sample used was 90 students from class VII. The data analysis technique used is qualitative and quantitative data analysis techniques. The results of the study show that the mean score of material and media validation is in the very valid category. There is a difference in the average post-test results of the experimental and control classes. Penelitian ini bertujuan untuk mengembangkan model pembelajaran Flipped Classroom berbantuan aplikasi Cyberlink Powerdirector dalam pembelajaran menulis teks Laporan Hasil Observasi (LHO). Jenis penelitian ini adalah penelitian &amp; pengembangan (R&amp;D) yang memodifikasi 10 langkah model Dick &amp; Carey menjadi 7 tahapan. Instrumen yang digunakan dalam penelitian ini yaitu lembar validasi, angket, lembar observasi, dan lembar format laporan hasil observasi. Uji coba terbatas dilakukan pada siswa kelas VII SMPN 16 Cimahi dan uji coba luas dilakukan pada siswa kelas VII SMP Al-Amin Cimahi. Sampel yang digunakan 90 siswa kelas VII. Teknik analisis data yang digunakan yaitu teknik analisis data kualitatif dan kuantitatif. Hasil penelitian menunjukkan bahwa hasil rerata skor validasi materi dan media berada pada kategori sangat valid. Terdapat perbedaan rerata hasil posttest kelas eksperimen dan kontrol
Strojno prepoznavanje rukopisnog teksta za hrvatsku glagoljicu

The paper presents and discusses recent advances in Handwritten Text Recognition (HTR) technologies for handwritten and early printed texts in Croatian Glagolitic script. After elaborating on the general principles of training HTR models with respect to the Transkribus platform used for these experiments, the characteristics of the models trained are discussed. Specifically, the models use the Latin script to transcribe the Glagolitic source. In doing so, they transcribe ligatures and resolve abbreviations correctly in the majority of cases. The computed error rate of the models is below 6%, real-world performance seems to be similar. Using the models for pre-transcription can save a great amount of time when editing manuscripts and, thanks to fuzzy search (keyword spotting), even uncorrected HTR transcriptions can be used for various kinds of analysis. The models are publicly available via the Transkribus platform. Every scholar working on Glagolitic manuscripts and early printings is encouraged to use them.
KLASIFIKASI JENIS BUNGA MAWAR MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOUR

roses are one of the ornamental plant commodities that are much favored by the public because of their beauty and fragrance. Recognizing the types of roses based on the characteristics of the color an shape of the rose petals is not easy because of the large diversity of colors and shapes possessed by roses, therefore this study aims to classify the types of roses by applying the k-nearest neighbour (K-NN) algorithm baseed on extraction color characteristicsof hue, saturation, value (HSV) an local binary pattern (LBP) texture. The design of the system as an implementation of the classification of the types of roses is by using Matlab. The data used in this study were 120 images with each class taking 24 images. The evaluation results obtained from the application of the k-nearest neighbour algorithm with HSV color feature extraction an LBP texture resulted in the highest accuracy 87,50% with the use of k3 values in the data sharing scenario of 80 training images and 40 test images.
RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PELAYANAN KESEHATAN DI KABUPATEN BREBES SELATAN BERBASIS WEB

Health services such as hospitals, health centers, clinics in providing health services to the community must be fast and precise. Every community is expected to know the locations of health facilities closest to where they live to anticipate unwanted things. The researcher created a web-based geographic information system about health services in the southern part of Brebes Regency, the system will display service information as well as the name of the village and its population. The purpose of this study is to find out how much influence the implementation of a geographic information system for website-based health services has, the method used is waterfall, supporting software includes postgresql, javascript, hmtl, css, postgis, qgis, arcgis, google earth. The results of this study were 88.3% of the 38 people who filled out the questionnaire experienced high satisfaction where the use of this system displayed information from health services (hospitals, health centers, clinics) and displayed the name of the nearest village and its population in the southern part of Brebes Regency.
PERAN SIG DALAM PENERAPAN SMART CITY DI INDONESIA

GIS is developing rapidly in responding to the challenges of the times related to spatial or spatial solutions, in Indonesia itself the development of GIS is very fast, especially in life applications and one of the benefits of GIS is in the application of smart cities where technological advances are combined with spatial analysis, but in its development, there are still deficiencies in the application of GIS in this smart city include limited funds, technology updates, and others. For this reason, this article examines the application of GIS in smart cities in Indonesia along with examples of its application and to what extent this implementation can be carried out successfully, and how much benefit can be obtained related to time effectiveness and cost efficiency. The research method used in this paper is a qualitative approach by multiplying secondary data collection based on reference sources from books, journals, and other scientific publications and supported by digital information sources such as websites. The data analysis method used is to study GIS and smart city in theory and then display examples of its application to cities in Indonesia so that the result is that the smart city concept through this sig has succeeded in helping the city improve its general service quality and increase the moderation of the city as a whole technology. The conclusion from this study is that the role of GIS is very large in assisting the application of sig, especially in providing spatial data and making decisions based on spatially analyzed spatial data by combining various binding factors.
THE REALITY OF E-LEARNING AND ITS FUTURE AFTER THE CORONA PANDEMIC

The aim of this research is to find out the reality of e-learning and its future after the Corona Covid-19 pandemic, where the study community represented Al-Quds Open University in Yatta, south of Hebron, Palestine. And the study of its expected future and the role that e-learning practices contribute to the effectiveness of the educational process represents a new study, and given the importance of the topic, this research was written. In order to accomplish this research, the descriptive approach was used, and it was applied to a random sample of the faculty, administrators, and university students. The sample number was (250) individuals. Data were collected through personal interviews of focused groups for their suitability for research purposes. The results were extracted through qualitative analysis of the answers interview questions. The most important results of the research were that e-learning heralds a promising future in the field of higher education and scientific research, but it needs requirements that contribute to overcoming difficulties and overcoming them, in order to reach progress in providing high quality in university education. A new model for the development of e-learning that suits everyone . Policy makers, governments, and web site designers must provide the minimum e-learning requirements for students and faculty, and organize projects that contribute to supporting the ability of universities to use modern systems. In addition, holding training courses for the teaching staff on a regular basis, promoting a culture of quality and educating administrators and university staff about the importance of development in the use of modern educational systems in order to raise the potential of qualified cadres and achieve progress in universities.
Implementation Of Extreme Gradient Boosting Algorithm For Predicting The Red Onion Prices

Red Onion or the Latin name Allium Cepa is included in the group of vegetable plants that are needed by the public for food needs. Red Onions are one of the seasonal crops so their availability can change in the market which causes price instability due to a lack of supply of production by several factors: 1) not yet it's harvest time, 2) crop attacked disease pests and fungi, and 3) weather factor. Therefore, a study is needed to predict red onion prices, so that it can be used as information for the government to stabilize red onion prices. The method used in this study is CRISP-DM and the Extreme Gradient Boosting algorithm to predict the price of red onions by taking data samples from Tegal and Pati Cities. The results of this study are that the Extreme Gradient Boosting algorithm is able to produce Tegal District Root Mean Square Error (RMSE) values of 5107.97% and Mean Absolute Percentage Error (MAPE) values of 0.17%. For prediction results with Pati Regency data samples, it produces a Root Mean Square Error (RMSE) value of 6049.74% and a Mean Absolute Percentage Error (MAPE) of 0.17%.
An analytical study on simulation tools and techniques in cloud computing

Cloud computing provides convenient and on-demand access to virtually unlimited computing resources.Mobile cloud computing (MCC) is an emerging technology that integrates cloud computing technology with mobile devices.MCC provides access to cloud services for mobile devices.With the growing popularity of cloud computing, researchers in this area need to conduct real experiments in their studies.Setting up and running these experiments in real cloud environments are costly.However, modeling and simulation tools are suitable solutions that often provide good alternatives for emulating cloud computing environments.Several simulation tools have been developed especially for cloud computing.In this paper, we present the most powerful simulation tools in this research area.These include CloudSim, CloudAnalyst, CloudReports, CloudExp, GreenCloud, and iCanCloud.Also, we perform experiments for some of these tools to show their capabilities.Today, cloud computing has become a promising paradigm that aims at delivering computing resources and services on demand.The adoption of these services has been rapidly increasing.One of the main issues in this context is how to evaluate the ability of cloud systems to provide the desired services while respecting the QoS constraints.Experimentation in a real environment is a hard problem.In fact, the financial cost and the time required are very high.Also, the experiments are not repeatable, because a number of variables that are not under control of the tester may affect experimental results.Therefore, using simulation frameworks to evaluate cloud applications is preferred.This paper presents a survey of the existing simulation tools in cloud computing.It provides also a critical and comparative analysis of the studied tools.Finally, it stands out a major challenge to be addressed for further research.
PENYULUHAN ADMINISTRASI PERPUSTAKAAN MI DARUL HUDA CODO KECAMATAN WAJAK KABUPATEN MALANG

The library is one of the government agencies that support the level of education and as an information institution that is used as a place to explore one's potential through reading and recreational facilities. Libraries will optimize services in four areas, namely learning activity facilities, information facilities, research facilities, and recreational facilities. To maximize library services to users, this library administration extension activity was selected as a program to develop and operate libraries in schools. The objectives of counseling are to optimize library operations, increase library utilization in MI, increase students' motivation and interest in reading, and improve library management. The activities have been carried out and have achieved 100% of the expected results. Counseling was given to librarians and also students. Counseling for students about rules, how to borrow, how to return and also an explanation of borrowing cards. While counseling to administrators is about all library administration, starting from when books are entered, book coding, book classification, borrowing and returning books.
Artificial neural networks: Prediction for restricted Boltzmann machines

Artificial Neural Network (ANN) is the branch of Artificial Intelligence (AI) that is inspired by the architecture of the human brain.A type of recurrent ANN known as Restricted Boltzmann Machines (RBMs) are probabilistic graphical models that can be interpreted two-layered network of stochastic units with undirected connections between pairs of units in the two layers.RBMs are used specifically as a generative model.The result obtained from Neural Network Model shows 0.000373 errors with 88 steps.Prediction using neural network shows 0.9928202080, 0.3335543925 and 0.9775153014 while Converting probabilities into binary classes setting threshold level 0.5 result shows that the predicted results are 1, 0, and 1.
The Results and Discussion an A Scientific Article: A Vision on its Structural Organization, Short Communication

The purpose is to describe the most relevant aspects of the logical structure of the sections of the results and discussion in a scientific article. Structural aspects such as data organization, subheadings in the results section, and statistical reports were among other aspects considered in this short communication.
A study on criminal behaviour and pattern prediction using machine learning techniques

Recent advances in the field of machine learning have enhanced the likelihood of applying these algorithms in real-time police situations.Machine learning advances have improved the likelihood of applying these algorithms in real-time policing.It's a must-have when it comes to AI and big data analysis (BDA).It has powerful algorithms that can classify data, recognise patterns, and learn to perform a task on its own.Despite its growing popularity in recent years, the general public and even most professionals are unfamiliar with this discipline.In this current era of the globe, crime and theft are on the rise at an alarming rate, and it has become an overwhelming problem that everyone is coping with.Finding a pattern that can be used to predict the future is critical.
Data analytics application in cognitive system, planning and decision support

Helping leadership requires a thorough understanding of the many factors that impact the outcome of a decision.Choice As time has passed, emotional supporting networks have provided chiefs with pieces of information that have helped them make incremental advances, with varying degrees of success.The access of news providers was a significant limitation to the extent to which choice incredibly loving networks could accomplish their objectives.As a result, with the introduction of previously developed insightful techniques for massive information sources, new opportunities have surfaced that may possibly increase how managers dissect their worry and arrive at decisions employing data frameworks.Current dealings with both huge data and choice emotionally supporting networks were analysed in this study with the goal of distinguishing distinct components and factors pertinent to the issue and identifying prospective methods of increasing their combined usage.A final proposal is made in which the key components expected to ensure the performance and relevance of information being broken down by preference emotional level supportive networks are included, while also providing the benefits of experiences derived over moment from past decisions and favourable suggestions are also included.
Data mining

The advancement of technology has resulted in the birth of a number of new fields.Every day, several areas such as research, engineering, health, and business generate and accumulate large volumes of data.Data mining is an important field that organises & extracts necessary informations from massive amounts of data.This paper provides an overview as to how data mining has been used in many fields.
Deep learning convolutional neural networks for content based image retrieval

Inside the science local area, Content Based Image Retrieval (CBIR) has started a great deal of interest.A CBIR gadget runs on the perceptible highlights at the low-level of a client's information picture, making it hard for clients to devise the info and giving inadequate recovery results.The examination of helpful element portrayal and satisfactory comparability measurements is basic in the CBIR technique for streamlining recovery task proficiency.The most concerning issue has been the semantic contrast between low-level picture pixels and undeniable level semantics comprehended by people.AI (ML) has been examined as a potential method to close the semantic hole among different techniques.In this article, we intend to defy a high level profound learning approach known as Convolutional Neural Network (CNN) for examining highlight portrayals and similitude tests, roused by the new notoriety of profound learning approaches for PC vision applications.In this article, we took a gander at how CNNs can be utilized to take care of grouping and recovery issues.We chose to utilize move figuring out how to apply the profound engineering to our concern for recovery of related pictures.The component vectors for each picture were separated from the last yet one totally associated layer from the proposed CNN model's retraining, and Euclidean distances between these element vectors and those of our inquiry picture were processed to return the dataset's nearest coordinates.