Reviewerly/exHarmony huggingface dataset:
The Making of an Item-Locating-Ringing Sticker using a Radio Frequency Module

The objective of this study is to make an Item-locating Ringing Sticker using a Radio Frequency Module. This study contains the making of an Item-locating Ringing Sticker that aims to assist the people who frequently misplace items and also aims to aid them in spending less time when finding the lost objects. The searching device consists of a receiver and transmitter modules or Radio Frequency Modules, which are used for serial communication. The process includes assembling, connecting the 3.7v battery and push-button to the RF Wireless Tx Module for the transmitter, and connecting the 3.7v battery and buzzer to the Rx Module 433 MHz for the receiver. When a user is utilizing the device, the transmitter would emit serial codes to the receiver wirelessly with the help of an antenna, thus allowing the activation of the transmitter and the sound emission of the receiver to be in sync. Following the creation of the device, its functionality would be tested in terms of audibility, range of connection, and transmission delay. volume, range of connection, and the transmission delay time. The receiver of the Itemlocating Ringing Sticker can produce an average sound volume of 93.67 decibels, allowing the user to hear the sound's direction, which would be guiding them in finding the misplaced object. The range of connection between the transmitter and receiver devices is between 0 meters and 8 meters. This shows that the minimum distance of connection is 0 meters, and the devices only have a maximum radius of 8 meters for the retention of connection. The Item-locating Ringing Sticker has an average scale of 0.015 seconds in transmission delay per meter, which means that the delay time scales with distance.
Optimization Artificial Neural Network Using Artificial Bee Colony in Letter Recognition Classification

Artificial Neural Networks or commonly abbreviated as ANN is one branch of science from the field of artificial intelligence which is often used to solve various problems in fields that involve grouping and pattern recognition. This research aims to classify Letter Recognition datasets using Artificial Neural Networks which are weighted optimally using the Artificial Bee Colony algorithm. The best classification accuracy results from this study were 92.85% using a combination of 4 hidden layers with each hidden layer containing 10 neurons.
PROJECT MANAGEMENT TOOLS IN THE ORGANIZATION OF LANGUAGE TRAINING OF STUDENTS IN THE TECHNOLOGICAL UNIVERSITY

Relevance: Force majeure due to COVID19 has led to the mass use of distance technologies in education, changes in traditional teacher-student interactions, problems with the content of the educational process, the schedule of online classes and deadlines for submission of intermediate assignments. Project management (PM) tools such as a Gantt chart and network diagrams allow us to structure, map out, organize, and control the content and schedule. Theoretical substantiation and practical application of PM tools in the organization of the educational process is relevant.The objective of the study is to present possibilities of using PM tools to display the content and schedule in the organization of language training for students of the technological university. The object of the study is the organization of the language training of students during the forced use of distance learning due to the spread of COVID19. The subject of the study is the use of PM tools to regulate the educational process.Materials:Scientific papers on the use of the PM methodology in education and on the introduction of PM tools in the management of the educational process. Research methods:Analysis, comparison, generalization of results and experience, analogy and identification of contradictions; students` survey on the problems of organizing forced distance learning; educational process modeling by using PM tools.Conclusions: According to the results of the survey, it has been found, that the forced use of distance learning due to COVID19 pandemic has led to changes and uncertainty in the organization of the educational process. The use of PM tools to improve the efficiency of language training organization has been proposed. A model of a Gantt chart that shows the chain of activities, current module and semester control has been developed. A network diagram that demonstrates the possibilities of schedule compression by using the critical path method for student`s accelerated mastering of a discipline in force majeure conditions has been developed.The scientific novelty of the study is the method of representing the way of mastering the discipline in the form of a project that has a beginning and an end, schedule, content and events under control. The practical significance of the study is to provide students with a Gantt chart and a network diagram reflecting the work sequence and events under control that have to be completed by students. It is recommended to include a Gantt chart and a network diagram to the set of documents on the organization of training.
MEMAKSIMALKAN FUNGSI SUNGLASSES UNTUK PENCEGAHAN DINI KATARAK

Cataract is an eye disease that creates hazy eye lenses. This condition often happens due to, among other,  too much subjection to ultra violet light without the right sunglasses. Thus, early prevention of cataracts can be conducted by using sunglasses when being outside the room and being in long-term exposure to sunlight. This study aimed to highlight proper ways using sunglases in order to prevent cataract as early as possible.Using librabry research, primarily a book  book by Clifford W. Brooks and Irvin M. Borish  titled “ System for Ophthalmic Dispensing”, this study discussed the proble and suggest some solutions with desctiptive method.
Corrigendum to “An innovative model as evaluation model for information technology-based learning at ICT vocational schools” [Heliyon 7 (2) (February 2021) Article e06347]

In the original published version of this article, the authors noticed an incorrect label in Table 7. One of the items is labelled as S8 instead of S9. This error has now been corrected. The authors apologize for the error. Both the HTML and PDF versions of the article have been updated to correct the error. An innovative model as evaluation model for information technology-based learning at ICT vocational schoolsDivayana et al.HeliyonFebruary 27, 2021In BriefDIVAYANA; Evaluation model; Information technology-based learning. Full-Text PDF Open Access
Basic application of mathematics in cryptography

As an interdisciplinary subject, cryptography involves a wide range of disciplines, of which applied mathematics account for a large proportion, and its status are also becoming more and more important in cryptography. Importantly, this article briefly introduces the basic theory and application of various algorithms involved in mathematical theory and method calculation in cryptography, and divides the development history of cryptography into modern cryptography and traditional cryptography, enumerating the two representative plaintext encryption methods, and summarizing one of them respectively and elaborately.
Song Recommendations Based on Artists with Cosine Similarity Algorithms and K-Nearest Neighbor

The development of the music industry is currently growing rapidly, millions of music works continue to be issued by various music artists. As for the technologies also follows these developments, examples are mobile phones applications that have music subscription services, namely Spotify, Joox, GrooveShark, and others. Application-based services are increasingly in demand by users for streaming music, free or paid. In this paper, a music recommendation system is proposed, which the system itself can recommend songs based on the similarity of the artist that the user likes or has heard. This research uses Collaborative Filtering method with Cosine Similarity and K-Nearest Neighbor algorithm. From this research, a system that can recommend songs based on artists who are related to one another is generated.
Classification of Textures Based on Ternary Transition Motif Matrix Features

The various classification methods proposed in the literature are mostly extracted either local features or global features or color features. After an exhaustive study on various local, global and color descriptors this research found that one type of features may not yield good classification results. To address this paper, proposed new variant that integrates the color features derived from HSV color plane and transition based scan features. This paper initially converted RGB color plane image in to HSV color plane. The individual histograms of H, S and V plane are extracted as one of the features and these are named as pure color features. This paper derives a novel extension to the exiting motif frame works of the literature. The proposed ternary transition motif matrix (TTMM) is completely different from the existing motif frameworks and it is derived on the V-plane of the HSV color model. The TTTM scans the given 2x2 grid in a fixed format by visiting each pixel position exactly once. The TTMM derives a ternary transition pattern based on the relationship between grey level intensities of current pixel and its immediate pixel of scan instead of traversing on the incremental difference. The proposed TTMM derives a unique code for each 2x2 grid, ranging from 0 to 80 and replaces the 2x2 grid with this value. The co-occurrence matrix derived on this ternary transition motif (TTM) coded image is named as TTMM and it holds the spatial relationship between the TTM coded grids. The gray level co-occurrence matrix (GLCM) features derived on TTMM are integrated with the pure color features to derive final feature vector. This descriptor is applied on six popular databases using machine learning classifiers. The results are compared with existing motif based and other local based approaches. The results exhibit the high classification rate of the proposed method over the existing ones.
Technology, Education, Life and Non-life Insurance in Africa

This article examines the relevance of information and communication technology (ICT) in modulating the effect of education on life insurance and non-life insurance consumption in 48 African countries for the period 2004-2014. Education is measured with primary school, secondary school and tertiary school enrollments. ICT is measured with mobile phone, internet and broadband subscriptions. The empirical evidence is based on generalized method of moments. The following main findings are established. First, from the nexuses between education, ICT and life insurance, there are positive conditional effects from the interaction between: (i) broadband subscriptions and primary school enrollment; (ii) broadband subscriptions and secondary school enrollment and (iii) internet penetration and tertiary school enrollment. Second, from the nexuses between education, ICT and non-life insurance: (i) there is a negative net effect from the interactions between mobile phone penetration and primary education while positive net effects are apparent from the interactions between: mobile phone penetration and secondary school enrollment; secondary school enrollment and broadband subscriptions and; tertiary school enrollment and broadband subscriptions.
Эвристический метод алгебраической декомпозиции частичных булевых функций

The problem of decomposition of a Boolean function is to represent a given Boolean function in the form of a superposition of some Boolean functions whose number of arguments are less than the number of given function. The bi-decomposition represents a given function as a logic algebra operation, which is also given, over two Boolean functions. The task is reduced to specification of those two functions. A method for bi-decomposition of incompletely specified (partial) Boolean function is suggested. The given Boolean function is specified by two sets, one of which is the part of the Boolean space of the arguments of the function where its value is 1, and the other set is the part of the space where the function has the value 0. The complete graph of orthogonality of Boolean vectors that constitute the definitional domain of the given function is considered. In the graph, the edges are picked out, any of which has its ends corresponding the elements of Boolean space where the given function has different values. The problem of bi-decomposition is reduced to the problem of a weighted two-block covering the set of picked out edges of considered graph by its complete bipartite subgraphs (bicliques). Every biclique is assigned with a disjunctive normal form (DNF) in definite way. The weight of a biclique is a pair of certain parameters of   assigned DNF. According to each biclique of obtained cover, a Boolean function is constructed whose arguments are the variables from the term of minimal rank on the DNF. A technique for constructing the mentioned cover for two kinds of output function is described.
TEXT MINING DOKUMEN TWEET PADA TWITTER UNTUK KLASIFIKASI KARAKTER CALON KARYAWAN

Recruitment is a means to prepare as many workers as possible according to the requirements and qualifications expected by the organization. In recruitment one of the things that is calculated is the character of the prospective employee itself. Companies or organizations usually carry out psychological tests and interviews to get the character of prospective employees. This will make the recruitment process longer and require a lot of money. One way to find out a person's character can be done by looking at the publication of daily activities on various social media. In this study the classification of prospective employees is based on tweets found on twitter. The results of this study are grouping prospective employees based on their characters using the naive bayes classifier algorithm. From the research that has been done naive bayes classifier algorithm has an accuracy accuracy of an average of 52% by weighting using the term document frequency. Keywords: Naive Bayes Classifier, TFIDF, Character
An Analysis of Security Issues Associated with Cloud Computing Paradigm

In recent years, cloud computing had a great impact on technology. Cloud computing has formed a conceptual and infrastructural basis for future computing. It provides services like Software as a Service, Platform as a Service and Infrastructure as a Service which can be deployed on / by private cloud, public cloud, community cloud or hybrid cloud. With the number of advantages of this technology, it comes with various challenges and issues simultaneously. From the challenges, security is considered the most critical one as the data is stored on the remote locations with the help of the Internet instead of using hard disks. This paper firstly discusses the basics of cloud computing, its service models and deployment model and then focuses on cloud security and issues related to it.
Analisis kesalahan penggunaan huruf kapital pada karangan narasi peserta didik kelas V sekolah dasar

&lt;p&gt;&lt;em&gt;This study aims to determine the form of capital letters errors in the narrative essay of the fifth grade students of SD Negeri 3 Sempor and the underlying factor in the misuse of capital letters. This study is against the background of errors that learners often use in capital letters. The study used qualitative descriptive methods aimed at analyzing the misuse of capital letters in the country's 3 sempor class v student narrative.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;The subject of this study is a 24-student v-class student and cass V teacher of SD Negeri 3 Sempor. The study uses data-collection techniques of documentation, interviews, and observation. Data analysis uses interactive data analysis techniques with data gathering, data reduction, data presentation, and deduction drawing. The validity of data on this research uses technical triangulation and source triangulation.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;The results of this study have been found misusing capital letters in the narrative of 3rd sempor country's vice student v. The error covers six indicators of error at the beginning of the sentence as many as 59 errors, errors in the name of as many as 4 errors, errors in the name of the day as 8 errors, errors in the geography name as 21 errors, and errors in the title of 21 errors. The most common mistake was the start of a sentence of 56% and the least amount of error on a person's name of 4%. A factor behind the misus of capital letters is that learners lack an understanding of the code of capital letter writing.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Arduino-based soil structure detector using geophone

Abstract Because of technology development, the needs for energy are increasing. Earth provide energy source by means of oil, gas and coal, buried beneath ground soil. A tool that can detect soil structure and material before drilling is needed. Each material has a different density; the difference in density produces a back effect. Geophones can be used to detect differences in material that is below the surface of the ground. This is done by carrying out artificial vibrations and receiving these vibrations with the geophone. To measure the vibrations that will be captured by the geophone, it begins by arranging the geophone configuration to be placed in a straight line with the wave source. The data obtained from the survey is the wave travel time from the source to each geophone indicated in the wave traces. This research concludes that a geophone sensor that can read the speed of waves in passing through stone, split stone and sand. Each medium produces a different speed - the denser the density of the medium, the faster the velocity of the wave propagation through it. In this final project the fastest is split stone with 1.62ms, brick is slightly slower with 4.02ms, and sand is the slowest with 15.86ms.
PELATIHAN DASAR METODOLOGI PENELITIAN KUALITATIF UNTUK KANDIDAT PENELITI BALITBANGDA KABUPATEN MUARA ENIM

Some social sciences studies are parts of the qualitative research. There are some distinction between quantitative and qualitative researches, most of quantitative researches are presented by statistical and mathematical datas. While, the qualitative researches focus on the interpretation of a phenomenon. Therefore, data collection methods of qualitative researches are more natural setting, both interactive and non-interactive. The Balitbangda of Muara Enim regency is a institution which main activity is conduct and develop govermental researches. Some studies are more qualitative researches, such as tourism; arts; tangible and intangible things. Normally, to conduct a study this institution hire researchers from domestic universities, because they do not have researchers. The result discussions team and Balitbangda Muara Enim regency’s leader was decide that this instituion have to has own researches. So, the training is one of solution to prepare the researchers candidates. Through the beginner level of methodology of qualitative researches training, the candidates of researches were understand how to produce a research proposal; steps of data collections; population and samples. The team also taught the use of technologies in the qualitative researches, such as how to create a google form; and produce the notes during netnography, it namely ‘field notes’. Hope after the training the researches have basic of qualitative researches.
Increased Activity and Learning Outcomes Using the WhatsApp and Google Form Applications in the Covid-19 Pandemic Period

This study aims to describe the increase in student activity and learning outcomes through distance learning using the WhatsApp and Google form applications during the Covid-19 pandemic. The subjects of this study were 36 students of class X TKRO 3 SMKN 1 Bulakamba Academic Year 2020/2021. This research is a quantitative study using descriptive methods. This study aims to describe the increase in student activity and learning outcomes through distance learning using the WhatsApp and Google form applications during the Covid-19 pandemic. The subjects of this study were 36 students of class X TKRO 3 SMKN 1 Bulakamba Academic Year 2020/2021. This research is a quantitative study using descriptive methods with operational stages: (1) preparing a Learning Implementation Plan (RPP). (2) preparing learning materials, assignments and daily tests. (3) upload learning materials on the class WhatsApp group. (4) students study learning materials using cellphones / laptops. (5) monitoring the implementation of the learning process. (6) students work on and upload assignments. (7) provide daily feedback and tests using Google form. The implementation of distance learning with the WhatsApp and Google form applications can increase student learning activities from 88.89% to 93.52% or an increase of 5.20% and can increase the average value of learning outcomes from 77.53 to 80.13 or increased by 3.34%.
Text-based Character in Teaching Reading: Do Students Can Achieve Significant Result in Reading Test?

This quasi-experimental study involves the experimental and control group which consist of 60 students in first year of SMA Muhammadiyah Sidenreng Rappang 2019/2020 academic year. The reading test is used to collect data to find out do the students can achieve significant result in reading test using Text-based Character. Based on the result the mean score of the experimental group pre-test was 72.67 and classified into good classification, while the control group was 69.63 classified into good. The mean score of the post-test after treatment for the experimental group was 82.43 (very good) while the control group was 76.53, (good) classification still. The researcher found that the T-table is higher than the t-test (α) (1.659&lt;2.021). It means that there is a significant difference in the pre-test of the control and experimental group, while in post-test of an experimental and control group, the researcher finds that the T-test is higher than the alpha and previous score in the the pre-test (α) (3.089&gt;2.021). The degree of freedom is 58. This study reveals that the alternative hypothesis (H1) was accepted, and the null hypothesis (H0) was rejected. This is means that the use of Text-based Characters can improves students' reading skills in significant way.
TEKNIK IDENTIFIKASI DAN PERLUASAN KATA (IDELUKA)UNTUK MENINGKATKAN PENGGUNAAN DIKSI PUITIS DALAM PENULISAN PUISI BEBAS SISWA SD

As part of learning Indonesian, elementary students should know how to write free poetry. They are able to use Indonesian dictions appropriately, so that their poetries have poetic values. However, using the dictions is difficult because this relating to mastery of Indonesian vocabularies. For this reason, special techniques are needed to facilitate elementary students. In this paper, the identification and word expansion technique (ideluka) is outlined to help elementary students to use poetic diction for free poetry writing. In this technique, learning to write poetry is made in stages starting from the practice of extending words, phrases or sentences that have been identified using poetic words to the practice of composing free poetry by expanding words that have been identified with various alternative poetic diction. However, the term expansion in the technique of ideluka is not only of quantitative meaning, but also qualitative. That is, the expansion of words in the technique of ideluka can mean to add, it can also mean to replace a word with other words that mean more poetic. Because it contains a gradual exercise with a main focus on observing poetic diction, ideluka technique is believed to be able to overcome the problem of the lack of elementary school students' ability to use poetic diction in writing free poetry. Methodologically, this article was compiled using reading and note-taking techniques. That is, the author reads the views of various literary sources and records them in a file on a laptop. Views from various sources are compiled and criticized according to the author's consideration