Reviewerly/exHarmony huggingface dataset:
Evaluation of GSMaP Data for Extreme Rain Events and Causing Floods in East Kotawaringin

On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an intensity of 58.85 mm/day, 101.3 mm/day, 124.4 mm/day and 176.8 mm/day respectively in East Kotawaringin. These phenomena occurred during the dry season and caused flooding, which is a rare condition during the dry season in East Kotawaringin. This study aims to evaluate extreme rainfall using GSMaP (Global Satellite Mapping of Precipitation) data, where analysis using GSMaP has never been done before in East Kotawaringin. These GSMaP data were processed and compared with the observation data from the Meteorological Station of H. Asan, East Kotawaringin. After that, the GSMaP rainfall results are verified using statistical methods, namely RMSE, correlation coefficient and bias. The verification results show that the bias gives underestimate results for all dates. In addition, the RMSE values on 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022 are 10.83, 17.32, 12.41 and 34.03, respectively. These high RMSE values indicate that the GSMaP rainfall value is quite far from the observed rainfall value. The correlation value between GSMaP rainfall and observations has a high correlation with values of 0.84, 0.90, 0.96 and 0.98 for each date. These results show that the GSMaP data has a good correlation value and can be used for extreme rainfall analysis at the Meteorological Station of H. Asan, East Kotawaringin.
Student Needs Analysis for The Development of Augmented Reality Integrated E-Modules about Particles in Science Learning

This research was the analysis phase of the first step in the research on the development of an integrated augmented reality e-module. The purpose of this study was to analyze the needs of students and to find out the responses of students and teachers if an integrated augmented reality e-module was developed in science learning. The method used in this analytical research was a survey method using questionnaires and interviews. Respondents were 32 junior high school students and 17 science teachers in Riau Province. Based on the result of data analysis, it was known that 56.3% of students consider the subject of particles, atoms, ions, molecules as difficult subjects because they were abstract and used many terms. Meanwhile, the result of interviews with science teachers showed that respondents only used government books as a source of student learning. The survey results showed 81.3% of students need learning resources in the form of e-modules that could be accessed from their Android so that it helped understand abstract concepts. Teachers who are willing to implement augmented reality integrated e-modules reached 100%. In conclusion, this analytical research needs to be continued to the design, development, implementation and evaluation stages based on research and development procedures, using the ADDIE model to develop an augmented reality integrated e-module about particles in science learning.
Distribution of Drought on Agricultural Land in Palabuhanratu District Sukabumi Regency

Drought is one of the natural disasters that causes substantial losses to food crop production, water supply in several important sectors such as industry, settlements, and agriculture. Climate change often causes drought on agricultural land and can indirectly threaten livelihoods and food security. This study aims to analyze the distribution of drought on agricultural land and examine the relationship between physical conditions. Drought monitoring study using remote sensing methods on Landsat 8 OLI imagery with the Normalized Difference Drought Index (NDDI) algorithm is the result of combining two parameters, namely the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI). The results of the study show the distribution of agricultural land drought in Palabuhanratu District, Sukabumi Regency during 2018-2021 with five classes (normal, mild, moderate, severe, and very severe), and a very severe drought category of 80.78 ha in 2021, followed by 2018 an area of 32.09 ha. The most potential drought areas are in Palabuhanratu District, namely Jayanti Village and Citepus Village.
Analysis of Rice Field Drought Level in Pemalang Regency 2019 – 2021

Pemalang is a district that has rice fields up to 36 thousand hectares and becomes a buffer area for rice commodity in Central Java and becomes a focus in maintaining availability and food reserves. However, Pemalang Regency is vulnerable to the threat of drought that often hits the Central Java region. Therefore, information is needed about rice field drought as a form of mitigation and supporting food security by the sustainable development goals (SDGs). The purpose of this research is to determine the level of rice fields' drought in the rainy and dry seasons from 2019 to 2021 and displays in the form of web gis that all circles can access. The data needed in this study include normalized difference vegetation index (NDVI) map, normalized difference water index (NDWI) map, land surface temperature (LST) map, hydrogeology map, land type map, and rice field map. The result of this study is the formation of a map of the drought level of rice fields in the Pemalang Regency divided into five classes, namely very low, low, medium, high, and very high. Ulujami and Belik are the sub-districts with the broadest moderate drought rate from the data processing. Then Ulujami, Watukumpul, and Belik are districts with the broadest area of high drought, and Randudongkal is a subdistrict with the broadest very high drought area.
Tailoring Hybrid Software Processes in a Medium-size Software Company

Software process definition require some flexibility to take into account different contexts and goals. Agile software development provides this flexibility by including a series of practices that the development team can adjust according to its needs. However, in practice, most companies do not apply a pure agile process but a combination of agile and traditional practices, i.e., hybrid processes. For each project context, a different combination of practices yield varying results for different goals, i.e., productivity, product quality, etc. In previous work, we have proposed DynaTail, a method for guiding the definition of the practices to be included as part of the hybrid software process for particular contexts so that an intended goal is optimized. Although DyanTail has proven to be effective in lab experiments, it is still difficult to assess to what extent it can be applied in industry. This paper presents its application in a medium-size software company to assess its potential adoption. The method was evaluated as useful and each step was understandable. However, some limitations were identified such as the need for guidance and tool support. We also found some non-anticipated valuable applications such as using DynaTail as a basis for negotiating with clients the process to be used by the project.
APPLICATION OF MACHINE LEARNING IN PREDICTING CHILDREN'S NUTRITIONAL STATUS WITH MULTIPLE LINEAR REGRESSION MODELS

Forecasting is an important part of making plans and making decisions that can predict future events. Forecasting techniques in this study used multiple linear regression. This study aims to predict the number of cases of child nutritional status in children in each region. The purpose of this study was to see the results of predicting the number of children's nutritional status in each region and to make it easier to predict children's nutrition. The research method includes the analysis of the system built and the design of machine learning applications using the Multiple Linear Regression method. Then the system built can help predict the nutritional status of children in Aceh quickly, precisely, and accurately. The data used is data on the nutritional status of children in 2018, 2019, and 2020. Based on the results of forecasting for 2021 based on data obtained in previous years, the predicted results of total nutritional status in 2021 are 449,0912126. The results of this study indicate that the linear regression method obtains the best model results by being able to predict the implementation of machine learning.
Post Graduate Biology Teachers’ Attitude Towards Use of 360&lt;sup&gt;o&lt;/sup&gt; Videos in Classroom

The Large-scale diffusion of technologies offers new opportunities in education. In particular, 3600 videos emerged as a promising technology for enriching the teaching-learning process by offering an immersive environment when it is used in the classroom. In this present study, the attitude of postgraduate biology teachers towards the use of 3600 videos in the classroom is investigated. A sample of 62 post-graduate biology teachers in the Theni district served as the subjects of the study. The attitude scale towards the use of 3600 videos in the classroom was constructed and standardized by the investigator was used. Results show that demographic variables such as gender, Frequency of technology usage, earlier use of 3600 videos for teaching and ICT silks were found to exert influence on attitude. This study reveals that postgraduate biology teachers who are 44 &amp; below years of age, who have 12 &amp; below years of teaching experience and who holds an advanced level of technology experience have a favourable attitude towards the use of 3600 videos in the classroom than their counterparts. The implications of these findings are discussed.
Perception towards Mobile Learning among Arts and Science College Students in Madurai District

The present study reports on the perception towards M- Learning among arts and science college students in the Madurai district. A sample of 350 arts and science students in the Madurai district served as the subjects of the study. The perception towards M- L earning was constructed and standardized by Ajeetha (2023) was used. This study reveals that the Who are Male and Day- Scholars, who use technology for more than 2 hours have a favourable perception towards M- Learning than their counterparts. Mobile learning tailored the scholastic performance as well as techno intelligence. Hence Mobile learning gave an intellectual perception among future generations.
PENGGUNAAN MEDIA GAMBAR DALAM MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN SISWA KELAS I MI SALAFIYAH AS-SYAFI’IYAH KECAMATAN JATIROGO KABUPATEN TUBAN

The purpose of research is to improve students' ability to read the beginning of the class I MI Salafiyah Kecamatan Jatirogo Kabupaten Tuban. The method used is descriptive qualitative and quantitative methods. The qualitative data obtained from the test results and observations of students and teachers. quantitative data obtained from the test results to learn. The design of this classroom action research cycle model developed in accordance with the PTK procedure cycle of planning, action, observation and reflection. Data collected through the assessment process and the final results of each action. The results of this study indicate that the class action through the medium of reading skills beginning drawing class I MI Salafiyah can be improved. It can be seen with the value achieved by the students showed an increase. In the cycle of unity obtained an average value that is equal to 66,6% students with learning classical completeness by 40% in the second cycle and then increased to 83,3% with classical completeness by 100% thus, action hypothesis in this study is acceptable. &#x0D; The purpose of research is to improve students' ability to read the beginning of the class I MI Salafiyah Kecamatan Jatirogo Kabupaten Tuban. The method used is descriptive qualitative and quantitative methods. The qualitative data obtained from the test results and observations of students and teachers. quantitative data obtained from the test results to learn. The design of this classroom action research cycle model developed in accordance with the PTK procedure cycle of planning, action, observation and reflection. Data collected through the assessment process and the final results of each action. The results of this study indicate that the class action through the medium of reading skills beginning drawing class I MI Salafiyah can be improved. It can be seen with the value achieved by the students showed an increase. In the cycle of unity obtained an average value that is equal to 66,6% students with learning classical completeness by 40% in the second cycle and then increased to 83,3% with classical completeness by 100% thus, action hypothesis in this study is acceptable.
Point of interest coverage with distributed multi-unmanned aerial vehicles on dynamic environment

Mobile agents, which learn to optimize a task in real time, can adapt to dynamic environments and find the optimum locations with the navigation mechanism that includes a motion model. In this study, it is aimed to effectively cover points of interest (PoI) in a dynamic environment by modeling a group of unmanned aerial vehicles (UAVs) on the basis of a learning multi-agent system. Agents create an abstract rectangular plane containing the area to be covered, and then decompose the area into grids. An agent learns to locate on a center of grid that are closest to it, which has the largest number of PoIs to plan its path. This planning helps to achieve a high fairness index by reducing the number of common PoIs covered. The proposed method has been tested in a simulation environment and the results are presented by comparing with similar studies. The results show that the proposed method outperforms existing similar studies and is suitable for area coverage applications.
ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR DISTANCE LEARNING FOR STUDENTS WITH SPECIAL EDUCATIONAL NEEDS

Relevance of the study: at present, technical means and information technologies are intensively developing in Russia and in the world, which can significantly expand the possibilities of inclusive education through the introduction of distance learning technologies. The article highlights the possibilities of distance learning for the implementation of the educational process of students with special educational needs. The analysis of scientific and methodological literature on the use of distance learning for the implementation of a differentiated approach, taking into account the individual characteristics of students, was carried out. The purpose of the study is a theoretical substantiation of the organizational and pedagogical conditions for distance learning of students with special educational needs. The methodological basis of the study is the ideas of a system-activity approach and competence-based approaches; general scientific methods of analysis, synthesis and generalization, as well as conducting a survey as an empirical research method. Research results. The theoretical significance of the article is as follows: the features that characterize the concept of organizational and pedagogical conditions for distance learning of students with special educational needs are highlighted; the features of distance learning for students with special educational needs are disclosed, the advantages and disadvantages of distance learning for students with special educational needs are revealed; a theoretical substantiation of the organizational and pedagogical conditions of distance learning for students with special educational needs is presented. The practical significance of the article lies in the fact that the conclusions and provisions presented in it reveal ways of organizing distance learning for students with special educational needs, meaningful aspects of preparing university teachers to manage the process of distance learning for students with special educational needs. The research materials can be relevant in the educational and extracurricular work of university teachers.
The Research on the AR Technology Leaps and Bounds to Increase Pokmon GO's Attraction to Players

In this age, with the development of technology and society, video games have gradually entered people's lives, this not only become a way as an entertainment to help people to relax, but also becoming a new way to learn about innovative technology as a part of study. As the technology becomes more and more innovative, there are more and more video games use high technology, such as AR games. This paper will introduce one of the AR games - Pokmon Go. This game has achieved certain breakthroughs in terms of technology, creativity in content, and interaction between players. More importantly, this game is an immersive video game developed in cooperation with Google map, giving the players a new and authentic experience/ When this game was released, it was very popular, and the popularity continued to rise. This paper will demonstrate why Pokmon Go is attractive around its uniqueness, its contribution to people's health and its contribution to society.
Research on Marketing Strategy of Lipstick Products Endorsed by Male Celebrities on Chinese New Media Platforms

The Internet's development has transformed society by making communication more efficient than ever before and creating disruptive and significant changes to the marketing model. Based on the observation that Chinese male celebrities have been frequently appearing in lipstick endorsement activities, this study provides a qualitative analysis of consumer feedback on Chinese male celebrity endorsement of lipstick on social media platforms. By observing the commercials of Guerlain's lipstick on Weibo and RED, consumers generally recognize the story and meaning constructed by the brand and its spokesperson. Results show that male celebrity's attraction and stories are significantly impacting the purchase intent. These findings contribute to the literature on celebrity endorsements, charismatic influence, and gender stereotypes.
Extreme Programming Method for Integrated Service System Website Development in Rejosari Village

The Rejosari Village Hall provides a manual letter submission service which is sometimes problematic, including when residents are about to submit an application letter, they have to come directly to the village hall office while the residents are still out of town. Apart from that, there was no media information which resulted when they were going to submit the requirements for the letters they brought were not in accordance, then from the data collection, and the letters were still in the books. Therefore we need a service system for the submission of letters. This integrated service system for residents of Rejosari Village is a web-based information system, the use of technology in the form of a website makes it easier to receive all forms of existing information. The Extreme Programming (XP) method is applied in developing this system, a software engineering process that refers to an object-oriented approach. The stages of this method start from the planning, design, coding and testing stages using black box testing with descriptive analysis techniques, which produce tests in the form of a proportion value of 96.42% and have a possible interpretation. In addition, this system can have an impact on progress in the field of informatics in the form of information media as well as learning materials
K-Means Binary Search Centroid With Dynamic Cluster for Java Island Health Clustering

This study is focused on determining the health status of each district/city in Java using the K-means Binary Search Centroid and Dynamic Kmeans algorithms. The research data uses data on the health profile of Java Island in 2020. Comparative algorithms were tested using the Davies Bound Index and Calinski-Harabasz Index methods on the traditional k-means algorithm and dynamic binary search centroid k-means. Based on the test, 5 clusters were found in the distribution area, including 11 regions with very high health quality cluster 1, 24 regions with high health quality, 28 regions with moderate health quality, and 28 clusters 4 with low health quality, 45 regions, and cluster 5 with deficient health quality is 11 regions, with the best validation value of DBI 1.8175 and CHI 67.7868. Overall optimization of the dynamic k-means algorithm based on binary search centroid results in a better average cluster quality and a smaller number of iterations than the traditional k-means algorithm. The test results can be used as one of the best methods in evaluating the level of health in the Java Island area and a reference for decision-making in determining policies for related agencies
Research on the Integrated Construction and Application of the Digital New Form Textbook of "English for Naval Pilots"

Transforming self-developed online courses and developing new forms of multimedia, digital, intelligent, and fast iterative textbooks have become the trend of textbook construction and reform. Digital new form textbooks aim to break through the limitations of traditional books, improve textbooks’ capacity and quality, modify teaching methods and provide innovative tools for the students to learn. The advantages of making teaching and learning more interactive, three-dimensional, vivid, and convenient have broken the constraints of traditional curriculum textbooks, and met the needs of continuously improving the quality of student cultivation in the academy. Taking "English for Naval Pilots" new form textbook as an example, this paper explores new directions for the development and application of digital textbooks.
Image encryption based on Beta Discret Wavelet transform, new Beta wavelet chaotic map, and Latin square

In this paper, a brand-new approach to image encryption is put forth that is based on the new Beta chaotic map, the Beta wavelet, and the Latin square. The proposed strategy is made up of various steps. The Wavelet Beta map is used to produce the random key after generating the Latin square S-box. The encryption stage uses the obtained key. The ciphered images have undergone numerous tests after the encryption procedures, including histogram analysis, information entropy analysis, and differential analysis. The results, which demonstrate that the proposed method has high efficiency and satisfactory security, are promising when compared to earlier systems and demonstrate that it is appropriate for image data transmission.
Log-Base2 of Gaussian kernel for nuclei segmentation from colorectal cancer H and E-stained histopathology images

Nuclei Segmentation is a very essential and intermediate step for automatic cancer detection from H and E stained histopathology images. In the recent advent, the rise of Convolutional Neural Network (CNN), has enabled researchers to detect nuclei automatically from histopathology images with higher accuracy. However, the performance of automatic nuclei segmentation by CNN is fraught with overfitting, due to very less number of annotated segmented images available. Indeed, we find that the problem of nuclei segmentation is an unsupervised problem, because still now there is no automatic tool available which can make annotated images (nuclei segmented images) accurately, to the best of our knowledge. In this research article, we present a Logarithmic-Base2 of Gaussian (Log-Base2-G) Kernel which has the ability to track only the nuclei portions automatically from Colorectal Cancer H and E stained histopathology images. First, Log-Base2-G Kernel is applied to the input images. Thereafter, we apply an adaptive Canny Edge detector, in order to segment only the nuclei edges from H and E stained histopathology images. Experimental results revealed that our proposed method achieved higher accuracy and F1 score, without the help of any annotated data which is a significant improvement. We have used two different datasets (Con-SeP dataset, and Glass-contest dataset, both contains Colorectal Cancer histopathology images) to check the effectiveness and validity of our proposed method. These results have shown that our proposed method outperformed other image processing or unsupervised methods both qualitatively and quantitatively.