Reviewerly/exHarmony huggingface dataset:
District/City Grouping Based On Factors Affecting The Level Poverty In North Sumatera With Using Cluster Analysis

&lt;span&gt;Poverty is a person's inability to fulfill &lt;/span&gt;&lt;span lang="EN-US"&gt;the &lt;/span&gt;&lt;span&gt;aspects of life. To overcome the problem of poverty, &lt;/span&gt;&lt;span lang="EN-US"&gt;there are some &lt;/span&gt;&lt;span&gt;factors &lt;/span&gt;&lt;span lang="EN-US"&gt;which affect&lt;/span&gt;&lt;span&gt; the poverty level&lt;/span&gt;&lt;span lang="EN-US"&gt;s that &lt;/span&gt;&lt;span&gt;need to be considered. Th&lt;/span&gt;&lt;span lang="EN-US"&gt;e&lt;/span&gt;&lt;span&gt; factors that influence &lt;/span&gt;&lt;span lang="EN-US"&gt;the &lt;/span&gt;&lt;span&gt;poverty&lt;/span&gt;&lt;span lang="EN-US"&gt; levels are&lt;/span&gt;&lt;span&gt; economic growth, unemployment, and education. Poverty in each region has different characteristics, and therefore it is necessary to group the regions so that &lt;/span&gt;&lt;span lang="EN-US"&gt;the &lt;/span&gt;&lt;span&gt;solutions can be implemented in accordance with each of the characteristics of the region. The purpose of this study is to &lt;/span&gt;&lt;span lang="EN-US"&gt;cluster&lt;/span&gt;&lt;span&gt; districts/cities in North Sumatra &lt;/span&gt;&lt;span lang="EN-US"&gt;in accordance with the &lt;/span&gt;&lt;span&gt;factors that affect poverty levels in each region using cluster analysis based on the centroid linkage method. Cluster analysis is a grouping into clusters so that objects in a cluster are more similar to each other than &lt;/span&gt;&lt;span lang="EN-US"&gt;the &lt;/span&gt;&lt;span&gt;objects in other clusters. From the clustering &lt;/span&gt;&lt;span lang="EN-US"&gt;result of &lt;/span&gt;&lt;span&gt;cluster analysis &lt;/span&gt;&lt;span lang="EN-US"&gt;by &lt;/span&gt;&lt;span&gt;using the centroid linkage method shows that&lt;/span&gt;&lt;span lang="EN-US"&gt; there are four groups of districts/cities which are incorporated based on each factor that affects poverty levels, namely, economic growth, unemployment, and education.&lt;/span&gt;
Klasifikasi Obat Medis Berdasarkan Ekstraksi Ciri Menggunakan K-Means Clustering

The use of drugs and chemicals that should be used in the scope of the pharmaceutical field, but since 2014 the use of these drugs and chemicals has been misused in the community such as PCC (paracetamol), caffeine, carisoprodol, and carnophen.One of the causes of this abuse is due to the community's ignorance in the use and types of drugs, such as not knowing the meaning and meaning of the drug logo or special markings listed on the drug packaging.To make it easier to read and know the names of these types of logos or special marks, it is necessary to develop an application that is able to read logo patterns or special marks using digital image processing.In this study, an application was designed to classify types of medical drug patterns using k-means clustering based on the extraction of shape and texture features.The study began with taking a drug pattern image using a smartphone camera with details of 16 sample images and 24 test images.The image of this result, carried out cropping on the logo to get a detailed image.Furthermore, cropping images which are still in the form of RGB are converted into binary images and grayscale images for feature extraction processes.There are 6 feature parameters used, namely metric, eccentricity, contrast, correlation, energy, and homogeneity.The test results on the test image data, the percentage of success of 91.5% with an accuracy rate of 100% obtained in the test data types of OTC drugs, hard drugs, and narcotics, while OTC images are limited to 66%.
Grup Aktiviteleri Üzerinde Görüntü Tanıma Yöntemi Analizi

Recognizing group activity on still images is a very challenging problem.The difficulty in a distinction between foreground and background on images makes this problem more complicated than the problem of recognizing group activity on video due to the lack of spatial and temporal information.In this study, we examine the analysis of a still image recognition method on the Volleyball video dataset, which is collected for group activity recognition.We feed an additional mean image that is obtained from the previous and/or subsequent frames with the target image in order to analyze the temporal information gain.We aim to acquire temporal information from the mean images and to use it to train our method.As it is understood from the experimental results, our proposed method can get comparable results with the state-of-the-art video-based group activity recognition studies.
Adaptive inter frame compression using image segmented technique

The computer vision branch of the artificial intelligence field is concerned with developing algorithms for analyzing video image content. Extracting edge information, which is the essential process in most pictorial pattern recognition problems. A new method of edge detection technique has been introduces in this research, for detecting boundaries.&#x0D; Selection of typical lossy techniques for encoding edge video images are also discussed in this research. The concentration is devoted to discuss the Block-Truncation coding technique and Discrete Cosine Transform (DCT) coding technique. In order to reduce the volume of pictorial data which one may need to store or transmit, the research modifies a method for video image data compression based on the two-component code; in this coding technique, the video image is partitioned into regions of slowly varying intensity. The contours separating the regions are coded by DCT, while the rest image regions are coded by Block-Truncation Coding. this hybrid coding technique called segmented image coding (SIC). Also in this paper A modify of the four step search for motion Estimation technique was produce. for searching scheme has been introduced which is contributed in decreasing the motion estimation searching time of the successive inter frames.
REFUGEE BASED DATA COLLECTION IN DISASTER RESPONSE

&lt;p&gt;Indonesia's high disaster risk requires an information system that can improve effectiveness in disaster response. Therefore, there is a need for an application that could be a means for various information in disaster response in Indonesia. This research uses the Development Life Cycles or SDLC Software, specified with the Waterfall Model. This model has 4 phases, as following: requirement analysis, system analysis, implementation, verification, and maintenance. From this research, a victim-based data collection application can collect data at the disaster site regularly. It also can replace the previous conventional methods so that it can facilitate the National Disaster Management Authority (BNPB) in carrying out information to the community. The results of this study are the prototype of data collection applications in helping disaster response.&lt;/p&gt;
Post Safety Evaluation of Mountain Highway Alignment Design Using a Cloud Model: A Case Study of Xi-han Highway

Traffic alignment and infrastructure indicators significantly impact traffic safety. For mountain highways, traffic evaluation becomes a complex synthetic problem including randomness and fuzziness. This paper proposes the alignment and infrastructure indicators traffic safety cloud model evaluation method and studies a safety evaluation indicator system in post mountainous highway alignment design. By calculating the integrated cloud model digital characteristic, mountainous highway traffic safety degrees are obtained. Comparing actual traffic accident rates with results from the cloud model, the indicator weights of the integrated cloud model are optimized. The optimized combination weights of mountainous highway alignment and infrastructure indicators can be applied to highway operation. A safety evaluation on Xi-han mountainous highway was conducted. The weight relationship among every indicator can be achieved, contributing to the traffic safety indicator value determining in highway design, and alignment and infrastructure maintenance priorities setting in highway operation.
THE IMPLEMENTATION OF PRACTICE-REHEARSAL PAIRS STRATEGY TO IMPROVE ENGLISH SPEAKING SKILLS AT THE EIGHT GRADE OF MA DDI KABALLANGANG

The purpose of this research was to find out the implementing practice-rehearsal pairs strategy in improving students’ speaking skills at the eight grade of MA DDI Kaballangang. The results of the research are useful for the teachers and the students because they will get a new strategy that is effective to be used in the English learning process especially in improving speaking. The subject of this research was XI IPA class which is consisted of 21 students. The sample was taken by using purposive sampling. The design in this research was pre-experimental with pre-test and post-test design. The researcher gave pre-test and post-test to know whether implementing practice-rehearsal pairs strategy can improve students’ speaking skills or not. The result of this research was indicated that there was an improvement of the students’ speaking skills. It was indicated by the students’ mean scoreof post-test (65.10) was greater than pre-test (30). Even, for the level significant (p) 5% and df = 21, and the value of the table is 1.725, while the value of t-test is 3.45. It means that the t-test value is greater than t-table (3.45 ≥ 1.725). Thus, it can be concluded that the students’ speaking skills are significantly better after getting the treatment. So, the null hypothesis (H0) is rejected and the alternative hypothesis (Ha) is accepted.
The Design of Learning Management Mode of Higher Vocational Students Based on Internet Information Fusion

The purpose of this paper is to study the design of management mode of students’ learning situation based on Internet information fusion. First of all, the concept of multi-source information fusion and the processing flow of multi-source information are described. Combined with the algorithm of support vector machine, the data platform architecture of learning situation of higher vocational students is designed, and the quality design of learning situation is analyzed. The experimental results show that the average score coefficient of each class in the grade forms a change linear graph, and the horizontal axis is the time, For example: 15–16 at the end of the next period, 16–17 at the middle of the last period, 16–17 at the end of the last period, 16–17 at the middle of the next period, 16–17 at the end of the next period, 17–18 at the middle of the last period, 17–18 at the end of the last period, etc., the vertical axis is the average score coefficient value of each class. Different classes use different colors for linear discrimination. The basic score of the second class is 1.2148, which is higher than the average score coefficient of the first class, 0.9220.
LITERASI MEDIA ISLAMI ANAK MENGGUNAKAN METODE “SATU ANAK SATU BUKU”

Literacy for early education students can be defined as the ability of reading and writing. This capability will increase if (1) facilities and (2) infrastructure are easily accessed, and (3) supported by the environment. The observation shows that those three factors are not available for children learning Al-Quran and Islam in Al-Ikhlas Masjid, especially Islamic media literacy. The community service was conducted in Al-Ikhlas Masjid to increase Islamic literacy for children using the method of Child One Book. Books and short version of Al-Quran were donated to encourage the children to enjoy reading and writing. This method was successful in increasing children's interest in reading shown by the enthusiasm of 14 children who came to participate in the activities.The Al-Ikhlas Masjid became crowded because the children came almost every evening to read and borrow books. Everyone was happy to read the books provided by the team. Therefore, the community service was considered successful in increasing Islamic literacy proven by an excellent reception from parents and children studying at Al-Ikhlas Masjid, and they are expecting further activities.
Developing A Convergence Methodology Between Engineering Technology and Fashion Design Education

This study proposed a convergence design process comprising the creativity of fashion design and the technology of engineering for fashion design education.It incorporated the concept of the convergence tendency in modern industry.The primary study combined an engineering design process that promoted engineering thinking and a fashion design process that promoted creative thinking to create a practice model that was developed and tested in a 10-week workshop.The result showed the need for refining the practice model to encourage in-depth cooperation.Therefore, a second practice model composed of an interaction design process and a fashion design method was investigated to promote students' interconnected thinking and force iterative processing.To verify the usability of the refined practice model, a second workshop using the latest model was conducted over 15 weeks.A tendency for convergence, where knowledge and techniques were shared among designers and engineers to address problems, was observed.The functionality of the four prototypes that were developed based on the idea of setting and solving a design issue was also embodied.It is expected that the processes and results can be utilized as a basis for the development of design methodologies and education programs in various design areas, including fashion, in this era of converged industries.
Performance of Small and Medium Enterprises in Ondo State, Nigeria: Does Application of Information and Communication Technology Make a Difference?

In spite of the roles played by ICT and the various efforts made by government at all levels to encourage SMEs to adopt ICT for effective performance, SMEs in Nigeria have failed to take the advantage of reaping the benefits of ICT application in order to perform optimally.The study therefore investigated the extent of ICT application by Small and Medium Enterprises, and evaluates the effect of ICT application on the performance of SMEs in Ondo State, using a well-structured questionnaire as method of data collection.Both descriptive and inferential methods of analysis were also used by the study.The descriptive analysis revealed that SMEs applied ICT devices to a large extent in their operations in the study area; leaving only the satellite system (2.03), cash counting machine (2.02), fax/telex (1.90) and Cash tiling machine (1.58) devices that were 'not often' or 'never' used, with their corresponding mean values within 1.81 -2.6 and 1.0 -1.8 respectively.The Hierarchical Multiple Regression and Analysis of Variance (ANOVA) results also indicated positive and significant effect of ICT application on performance of SMEs in the study area, with all the predictor models significant at 5% level.The study concluded that ICT application did not just make a difference but a significant difference in the performance of small and medium enterprises (SMEs) in Ondo State, Nigeria; while also recommended the need to put into constant use some of the ICT devices that were not often or 'never' used by SMEs, so as to continually serve the customers better, gaining competitive advantage and maintaining significant performance of SMEs in Ondo State, Nigeria.
THE INFLUENCE OF USING MIND MAPPING TECHNIQUE TO IMPROVE WRITING SKILL IN DESCRIPTIVE TEXT AT JUNIOR HIGH SCHOOL (META-ANALYSIS)

This study is aimed to analyze the influence of mind mapping technique on learning outcomes of writing skills in descriptive text of Junior High Schoolstudents. The method used in this research was meta-analysis. The first step, researcher formulated the problem and then continue the collecting research data through google scholar search. From the search results, it is obtained 6 articles from journals and 4 relevant theses. The data obtained is reprocessed using quantitative methods. Based on the analysis results, Mind mapping technique is effective to improve learning outcomes in writing skills in descriptive text of Junior High Schoolstudents. Score of before and after learning using mind mapping technique presented significant difference score from the lowest 8.03% to the highest 67.68% with an average increase of 27.36%.
Introduction: the rise of political hate speech online

Chapter 1 begins by addressing the status of online political hatred in Europe from an interdisciplinary (legal-informatics) point of view, with particular reference to online hatred during the recent European elections of 2019. Subsequently, there is a brief introduction to the legal regulation of hate speech, above all with reference to the supranational and European normative sources, identifying different categories of hate speech. The relationship between political hate speech and the online world is then tackled through analysis of the thought of Tulkens, who carefully describes the path of incorporation of hatred into the political discourses of recent years and the dangers connected with an overly stringent limitation of freedom of political expression. Finally, the main lines of research of this work are described, with reference, above all, to an overview of political hatred in Europe, to the innovations brought by technology and to the possible remedies for the significant increase in political hatred in all countries.
The Influence of Cooperative Learning Models and Learning Motivation on the Skills of Reading Students in Elementary School 101883 Tanjung Morawa Sub-District

This study aims to: (1) Know the differences in reading skills of students taught with the Cooperative Integrated Reading and Composition learning model compared to students taught with conventional learning models; (2) Knowing the difference in reading skills of students who have high learning motivation compared to students who have low learning motivation; (3) Knowing the interaction between learning models and learning motivation in influencing students' reading skills. The population in this study were the fifth grade students of Elementary school 101883, Tanjungmorawa District, Deliserdang Regency, amounting to 54 people. Data collection in this study was through questionnaires and students' reading skills tests. Hypothesis testing is done by using the Two Way Anova test. The results showed that: (1) The reading skills of students taught with the Cooperative Integrated Reading and Composition learning model were higher than those taught by conventional learning models (Fcount = 21.164 and sig. 0.000&gt; 0.05); (2) Reading skills of students who have high learning motivation are higher than reading skills of students who have low learning motivation (Fcount = 6.756 and sig. 0.012&gt; 0.05); (3) There is an interaction between learning models and learning motivation in influencing students' reading skills (Fcount = 7.054 and sig. 0.011&gt; 0.05).
Bitcoin: A New Asset Class?

&lt;p&gt;This study aims to examine the effect of stock prices, exchange rates, and gold prices on the Bitcoin price. The data used are the IDX Composite, the Rupiah/ IDR exchange rate, and the daily gold price from July 19, 2010, to December 31, 2018. Regression equation results show that stock prices, exchange rates, and the gold price had a positive effect on Bitcoin price. Changes will follow changes that occur in stock prices, exchange rates, and gold prices in the price of Bitcoin in the same direction. Bitcoin is considered the same as other assets that are worth having in the investment portfolio.&lt;/p&gt;
PENERAPAN DRAGONFLY OPTIMIZATION ALGORITHM (DOA) PADA PERMASALAHAN MULTIPLE CONSTRAINTS BOUNDED KNAPSACK

Optimization is very useful in almost all fields in running a business effectively and efficiently to achieve the desired results. This study solves the problem of multiple constraints bounded knapsack by implementing DOA. The problem of multiple constraints bounded knapsack has more than ones constraint with objects that are entered into the storage media, the dimensions can be partially or completely included, but the number of objects is limited. The purpose of this study is to determine the results of using DOA to solve multiple constraits bounded knapsack and the effectiveness of DOA compared to the results of the Simplex method. The data used in this study are primary data. There are ten parameters to be tested, namely population parameters, maximum iteration, s, a, c, f, e and range. The trial results of the ten parameters show that the best value of the parameters is neither too large nor too small. If the best value is too large then the position of the dragonfly will be randomized so that it is not clear the position of the dragonfly and if it is too small the best value then the change is not visible. In addition, based on the results of the final experiment it can be seen that DOA is less effective in solving multiple constraints bounded knapsack problems, because of many experiments there is no solution similar to Simplex. DOA approach to optimal, seen from a small deviation.&#x0D; Keywords: DOA, Knapsack, Multiple constraints bounded knapsack problem.
Estimation of Monthly Averaged Daily Solar Radiation with Sunshine Hours, Temperature, and Relative Humidity in Kathmandu, Nepal

This study is mainly concerned with the performance of various single and multiple meteorological parameter models to estimate the global solar radiation (GSR) on the horizontal site of Kathmandu, Nepal located at 27.69° N, 85.35° E at an altitude of 1338 meter from the sea level. The main concern of this research is to evaluate the preciseness and appropriateness of various models and to do that we have implemented diverse statistical tests. The results exhibit that all the used models have a good correlation for the determination of monthly averaged daily global solar radiation on the horizontal site of Kathmandu. Nonetheless, the sunshine hour and temperature-based model have shown a better agreement between the measured and estimated GSR of the studied site with RMSE and R2 values 0.88 and 0.87, respectively. The value of correlation coefficients a, b and c are found to be 0.42, 0.53, and 0.01, successively.
AN EMPIRICAL INVESTIGATION ON QUALITY ASSURANCE PRACTICES IN SOFTWARE INDUSTRIES: BANGLADESH PERSPECTIVE

Software companies often follow a planned and systematic process to ensure that the end product is error free and performs as per the requirements, often termed as Software Quality Assurance (SQA) process.However, it has been reported that these companies (especially, mid-size and start-up companies) in developing countries often cut corners to the SQA process due to time and budget limit, and to rush into the market, compromising the quality.This research empirically investigated the SQA process followed in the software companies in Bangladesh.A survey with nine established companies is carried out with qualitative and quantitative data analysis.According to the assessment more than half of the companies fall short in adhering SQA practices within their SDLC.The rest, either fully or partially comply to it.This study further proposed an SQA model based on inspection process and provide guidelines for continuous quality improvement.The model and guidelines are derived to best support these software companies to improve SQA practices.