Reviewerly/exHarmony huggingface dataset:
Effects of Land Uses on Soil Quality of Shwan Sub-basin, Kirkuk Governorate, Northern Iraq

Thirty-two soil samples were collected from the study area in October 2020 for geochemical and pollutants investigation of Shwan Sub-basin soil. All soil samples were analysed for different geochemical analyses. The analysis results revealed that the pH values in soil samples ranged from 7.12 to 7.56 with a mean of 7.327. According to the pH values detected in the soil samples, the soil is classified as neutral soil. The electrical conductivity ranged from 0.92 mmhos/cm to 7.8 mmhos/cm with a mean of 1.53 mmhos/cm. Thus, according to the detected electrical conductivity values, the soil was classified as non-saline to slightly saline. The organic matter ranged from 1.14% to 1.45% with a mean value of 1.326 %, while total organic carbon ranged from 0.66 % to 0.84 % with a mean value of 0.769 % which indicated the soil was characterized by low organic content. The results of the geochemical analysis revealed that the major and minor element mean concentrations were in the order Si&gt; Ca&gt; Al&gt; Fe&gt; Mg &gt; K&gt; Ti&gt; Na&gt; P&gt; Mn&gt; S&gt; Cl&gt; N. The average concentrations of trace elements in soil samples followed the decreasing order Sr &gt; Cr&gt; Ba&gt; Zr&gt; Ni&gt; V&gt; Zn&gt; Ta&gt; Rb&gt; Cu&gt; Nb&gt; Y&gt; Pb&gt; Co&gt; Ga&gt; Mo&gt; As&gt; Th&gt; Br&gt; Sn&gt; I. Furthermore, the comparison between heavy metal concentrations in the soil of the study area and metal concentrations in the world soil limit and Indirect Geochemical Background revealed an increase in metal concentrations of Cr, Ni, Zn, Co, As, Mo and Ta. Multivariate statistical analyses, such as Principal Component Analysis and Agglomerative Hierarchal Cluster Analysis, identified the potential sources of pollutants in the soil. Most metals are from natural sources and some of them are from anthropogenic sources mostly from agricultural activities mainly fertilizers use and the waste of animals breeding on farms. Besides industrial activities such as deposits of pollutants from emissions of petroleum refineries located inside or close to the study area. In addition, building blocks and paint factories.
Study On the Path To Improve the Leadership Of Sports Counselors And Students' Employability

Graduates "difficult employment" has become a prominent problem in the general college education, the so-called "graduation = unemployment" concept seriously affects the realization of the goal of talent training in colleges and universities. However, the employment channels of sports major itself are relatively narrow, and many students are engaged in jobs irrelevant to their major after graduation. Therefore, this paper aims to promote the improvement of college counselors' quality and employment rate by discussing the promotion path of sports counselors' leadership and students' employment ability. To sum up, in the face of increasingly complex computer application environment, the development of computer software has put forward more stringent and diversified requirements. Therefore, the introduction of layered technology to computer software development, constantly improve the computer software development environment, improve the development efficiency, shorten the software development cycle, save the cost of software development, so as to promote the sustainable and healthy development of computer software industry.
Comparison of the variation of solar radiation and atmospheric parameters in Kano before, during and after covid-19 lockdown

This study compared the variation of solar radiation and atmospheric parameters in Kano, Nigeria before, during, and after the COVID-19 (2019, 2020, and 2021) lockdown. Data was obtained from the Nigeria Meteorological Center (NIMET) in Abuja and MINITAB's time series method and procedures were used to analyze the data. Results showed that Kano witnessed an increased amount of solar radiation during COVID-19 (2020) when compared with the values of solar radiation distribution observed before and after COVID-19 (2019 and 2021). Atmospheric ozone increased slightly in Kano during the period of COVID-19 when compared with the periods before and after COVID-19 in the same area. Relative humidity variations were observed to be lower before and during COVID-19 when compared with the values after COVID-19, whereas temperature and pressure variation distributions were maintained approximately within the same range in the years of study (2019, 2020, and 2021). These findings provide an insight into the effects of the COVID-19 lockdown on solar radiation and atmospheric parameters in Kano.
Perancangan dan Pembuatan E-Commerce Berbasis Web pada UMKM Bebek Perantau Khas Madura di Jakarta Pusat

Fried duck, a signature dish from Madura, is highly renowned. This duck is typically cooked with distinctive spices and served with sambal and rice. The Micro, Small, and Medium Enterprises (MSME) 'Bebek Perantau Khas Madura' restaurant operates through direct on-site orders, limiting consumers' accessibility to processed duck food products. This research is motivated by the access constraints faced by certain consumers who find it challenging to spare time to visit the physical restaurant located at Jl. Citarum, Central Jakarta. The E-Commerce platform is anticipated to broaden consumers' access to the products and services offered by 'Bebek Perantau Khas Madura' restaurant in Jakarta. This research adopts the Software Development Life Cycle (SDLC) approach utilizing the Unified Modeling Language (UML) to design the E-Commerce platform. This platform is constructed using the PHP programming language with MySQL. An E-Commerce design solution is formulated to facilitate business interaction between consumers and the restaurant. Through this E-Commerce platform, it is expected that there will be an increase in the accessibility of products and services offered by 'Bebek Perantau Khas Madura' among consumers in Central Jakarta. The utilization of the E-Commerce platform as an alternative for ordering processed duck food products opens new opportunities for MSMEs to expand their market digitally. The successful implementation of this platform can reduce physical access barriers and enhance efficiency in business transactions.
PENGEMBANGAN TEKS CERITA BERGAMBAR PADA KETERAMPILAN MEMBABACA SISWA TEMA 7 KEBERSAMAAN SUBTEMA 1 KEBERSAMAAN DI RUMAH PEMBELAJARAN KE 1

Picture story text is a text that contains a story accompanied by pictures or illustrations to support the contents of the story. Reading is a useful activity that can provide various information. In Indonesia reading skills are still relatively low. This study aims to obtain a picture story text product Theme 7 Togetherness Sub-theme 1 Togetherness in the 1st Learning House in class II SDN Cibeureum 02 with a total of 20 students. This development uses the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research results from the validation tests of linguists, material experts, and media experts show that illustrated story texts are valid and very feasible to use by obtaining an average percentage of 89%. In the limited trial phase, as many as 20 students gave a positive response to the illustrated story text used. Based on the results of the research, it can be concluded that the illustrated story text developed in this study proved to be valid, interesting, and very appropriate for use during the learning process.&#x0D;
The Community Service as Judges in an Elementary Level English Vocabularies Competition at SDN 137/III Koto Salak

This community service activity is participation as judges in an elementary school English vocabulary competition at SDN 137/III Koto Salak. It aims to improve students' English vocabulary skills, learning motivation, and development of communication skills. The students learn about good preparation and teamwork through healthy competition. It also involves the community as volunteers and spectators, strengthening the relationship between the school and the surrounding environment. The results of this activity include increasing vocabulary skills, learning motivation, developing communication skills, and achievement awards. In this community service, good cooperation is needed between the school, judges, and community as well as evaluation and improvement for similar activities in the future. Utilizing these suggestions, this event is expected to be developed continually and provide greater benefits to participants, teachers, and the community in strengthening English language education.
Developing EFL teachers’ competence in designing learning materials through electronic English book design training

This study aims to develop the competence of teachers in designing English learning materials through electronic English book design training. This study was action research. The training was given to 7 English teachers at the Madrasah Tsanawiyah level (Islamic junior high school) with more than 5 years of teaching experience and proficiency in using computers. Data were collected by using product assessment, observation, and interviews. The data was analyzed by using descriptive qualitative analysis. The results show that teachers can create electronic books for English learning after receiving learning technology training with training materials including: (1) designing materials through PowerPoint, (2) changing materials in electronic form through I-spring, and (3) making electronic books with the android extension via APK builder. Indicators of the teacher’s competence in designing electronic books include: (1) being able to independently design the content in terms of explanation materials in the form of images, audio, and video and exercises in the form of quizzes equipped with assessments and (2) being able to independently design the appearance or layout of an electronic book consisting of cover, layout, and buttons.
THE INFLUENCE MECHANISM OF AI TECHNOLOGY LEARNING ANXIETY IN THE HUMAN-COMPUTER COLLABORATION CONTEXT: THE MODERATING EFFECT OF UNCERTAINTY AVOIDANCE AND THE MEDIATING EFFECT OF SELF-EFFICACY

Taking 636 enterprise employees who use robots or intelligent technology products to assist in their work as the research object, with self-efficacy as the mediator variable and uncertainty avoidance as the moderating variable, the artificial mechanism of action of intelligent technology learning anxiety (AI technology learning anxiety). The research results show that: (1) There is a positive correlation between human-computer collaboration and employees’ AI technology learning anxiety, that is, the higher the degree of human-computer collaboration, the easier it is for employees to have AI technology learning anxiety or the stronger their sense of AI technology learning anxiety. (2) Uncertainty avoidance moderates the positive relationship between human-computer collaboration and AI technology learning anxiety, that is, the higher the uncertainty avoidance, the stronger the positive relationship between human-computer collaboration and AI technology learning anxiety.When uncertainty avoidance is low, AI technology learning anxiety is weakened. (3) Self-efficacy plays a mediating role in the process of human-machine collaboration affecting AI technology learning anxiety.
THE CONSTRUCTION AND PRACTICE OF COMMUNITY CRISIS INFORMATION MINING MODEL ON THE WECHAT INTERNET PLATFORM RESEARCH

Mining community crisis information on Internet platforms is a complex project. This study focuses on theoretical review, subject intervention, and practical research from a management perspective. The goal is to optimize the model of WeChat Internet community information governance and propose a mining search and extraction method for community public opinion information in social networks. The study aims to effectively manage traditional public opinion information in terms of search, cleaning, extraction, storage, and more. The research also designs a search system structure for community information and establishes a public opinion information mining model based on the audience's personalized behavior search method.
EDUCATIONAL STOPLIGHT

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 1586-1592ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.0486Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
ARE GAME-BASED MOBILE APPLICATIONS EFFECTIVE FOR YOUNG CHILDREN’S INFORMAL LEARNING IN A SCIENCE MUSEUM?

ARE GAME-BASED MOBILE APPLICATIONS EFFECTIVE FOR YOUNG CHILDREN’S INFORMAL LEARNING IN A SCIENCE MUSEUM?
THE LENGTH OF TEACHING PRACTICE IN THE NEW CONCEPT OF TEACHING INFORMATICS IN CZECH PRIMARY SCHOOLS

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 1579-1585ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.0485Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
VIRTUAL TOURS USING VIRTUAL REALITY GLASSES FOR TEACHING PURPOSES

J.L. Bernal-AgustínJ.S. Artal-Sevil R. Dufo-LópezJ.M. Lujano-RojasJ.M. Yusta-LoyoJ.A. Domínguez-Navarro
MAKING SOUNDS VISIBLE: AN ICT-ENHANCED APPROACH TO TEACHING ITALIAN ENUNCIATION TO VOCAL MUSIC MAJORS IN A JAPANESE COLLEGE

MAKING SOUNDS VISIBLE: AN ICT-ENHANCED APPROACH TO TEACHING ITALIAN ENUNCIATION TO VOCAL MUSIC MAJORS IN A JAPANESE COLLEGE
INNOVATIONS IN LANGUAGE TEACHER EDUCATION: PREPARING PRE-SERVICE TEACHERS FOR THE MULTILINGUAL REALITY OF CONTEMPORARY CLASSROOMS

INNOVATIONS IN LANGUAGE TEACHER EDUCATION: PREPARING PRE-SERVICE TEACHERS FOR THE MULTILINGUAL REALITY OF CONTEMPORARY CLASSROOMS
Pemodelan Spasial untuk Analisa Produksi Padi Integrasi Machine Learning

The growing human population has sparked interest in accurate rice production prediction. This research combines Geographic Information Systems and machine learning to model rice paddy production prediction with minimal error. Using linear regression, this research analyzes rice paddy production in 13 districts/cities in South Kalimantan with spatial and historical data as features, and rice paddy production as the target variable. Experimental results show that this approach produces accurate predictions, with the Linear Regression Algorithm having a consistent level of accuracy and R2 of 0.992, explaining that 99.2% of the variation in the response variable can be explained by the predictor variable, and 0.8% is influenced by other factors. While Hulu Sungai Utara district has the highest rice production and Barito Kuala district has the lowest. This study makes an important contribution in spatial modeling for rice paddy production prediction, helping agricultural experts and decision makers identify rice paddy production potential and improve the accuracy of rice paddy production prediction.
BEHIND THE SCREEN: STUDYING TECHNOSTRESS IN AN ONLINE LEARNING ENVIRONMENT

Appears in: ICERI2023 Proceedings Publication year: 2023Page: 4950 (abstract only)ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1234Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
Implementasi Teknologi Blockchain dalam Aplikasi E-Voting Berbasis Mobile

Voting is a key element in democratic processes and decision-making in various contexts. With the development of information technology, traditional voting methods have undergone a significant transformation with the introduction of e-voting systems. Although some previous research has successfully developed e-voting applications, some significant drawbacks have been identified, such as insufficient security issues, risk of manipulation, and reliance on a central authority. Blockchain technology is decentralized and immutable. Therefore, it is an attractive solution in addressing these challenges. This research aims to overcome the weaknesses of previous e-voting applications by developing a mobile-based e-voting application that uses blockchain technology. This research also enables wider voter participation through mobile devices, improving the security and integrity of votes. The use of React Native allows the application to be accessible on various mobile platforms, including Android and iOS. This research has three important aspects: the use of blockchain technology to address security and integrity issues, the development of Mobile-Based e-voting applications to improve accessibility, and the contribution to the development of blockchain applications in various election contexts.
Pengenalan Kepribadian Melalui Tulisan Tangan Menggunakan Convulutional Neural Network Dengan LS Classifiers

A person's handwriting is different and unique, even though it looks similar it is certainly not the same as someone else's writing. One's personality traits can be identified based on handwriting. One of the implementations is (handwriting recognition). To identify a person's personality, it can be classified by handwriting using the 'Graphology' field. The computational system to identify handwritten images can use the Convulution Neural Network method. Using the CNN method is expected to produce good accuracy with a low error rate. The CNN method is able to predict a person's personality through manuscripts as images. In addition, to increase the diversity of classifications, the Least Squared Classifiers method is needed. . LS Classifiers are designed to increase the variety of CNN methods in feature extraction and classification. The LS Classifier method is a classification method that estimates the w parameter vector and takes the best linear classifier based on the w parameter vector. Research has functions for users, including to find out someone's personality, especially extrovert and introvert personality. In this study CNN serves as Feature Extraction to classify Image and Ls Classifiers serves to increase diversity into 2 personality groups. The level of accuracy of the performance of the CNN &amp; Ls Classifiers method in carrying out feature extraction and classification of handwritten images in determining personality has a good level of accuracy.
SENSORY LEARNING STYLES &amp; EMOTIONAL INTELLIGENCE IN ADOLESCENTS

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 4916-4923ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1225Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
Pelatihan Teknik Analisis dan Sintesis Jurnal Ilmiah untuk Menunjang Keterampilan Menulis Karya Ilmiah Guru Sekolah Dasar dengan Mitra SDN 7 Mataram

A professional teacher must demonstrate four good competencies in terms of personality, pedagogic, professional and social competencies. Some of these four competencies are also directly related to a teacher's career, which is a requirement for a teacher's promotion. This requirement is an obstacle because not all teachers do it for various reasons, including teachers lacking in producing scientific work such as published scientific articles. Teacher publications are very limited in existence. This Community Service activity aims to provide and apply knowledge related to techniques, compiling narratives and scientific arguments for the purposes of writing a scientific article. To achieve these objectives, the workshop method of journal article management is used, which is carried out by brainstorming to find and determine journal themes, exploring and downloading scientific journal articles, reviewing and analyzing journals, summarizing the results of the analysis and mapping them in the analysis results table, paraphrasing, synthesizing journals using the Mendeley application. The synthesis product will be developed independently by the participants but still monitored by the team to ensure the participants' work is smooth and successful. These abilities and skills become the basic capital of participants in compiling arguments, explanations or synthesis of articles, research proposals and other scientific works. Thus, the result of this service is that participants understand the concept of professional work development and the importance of improving the quality and quantity of professional work development work in the form of articles, research proposals, reporting research results and other scientific works
Pendampingan Branding Produk Dengan Menggunakan Aplikasi Canva Pada LKP Khiara Training Centre

The utilization of digital technology in the era of Industry 4.0 provides significant benefits, especially in the tourism and culinary sectors. Digital branding, which creates product identity through technology, is crucial in promoting products and creating a positive perception in society. Training institutions such as Khiara Training Center play a role in imparting skills to the community. The use of digital marketing by small and medium-sized enterprises (SMEs) can expand their marketing reach nationally and internationally. Graphic design, including infographic design, involves arranging graphic elements for effective visual communication.&#x0D; The Canva application, a drag-and-drop-based design tool, is an effective solution for product branding and graphic design. The implementation methods of the outreach activities involve monologous methods for content delivery and dialogic methods through discussions. The preparation phase includes problem understanding, collecting reference materials, and scheduling. The execution phase involves a two-day training, with the presentation of Canva's features on the first day and hands-on practice on the second day. Evaluation and final reporting are used to assess participants' understanding and the outcomes of the activities. This initiative successfully trained 20 participants from various educational backgrounds in using the Canva application for product branding design
PENGARUH SUHU PENYIMPANAN TERHADAP SIFAT FISIK TABLET EFFERVESCENT EKSTRAK KULIT BUAH NAGA MERAH (Hylocereus polyrhizus) DAN BUAH LEMON (Citrus limon L.)

Effervescent tablet is a dosage form that can produce bubbles originating from an acid and base reaction that forms a gas. The reaction between acids and bases in effervescent tablets is very sensitive to temperature if stored continuously. So that testing for drug stability is very important in evaluating drugs, one of which is by knowing the effect of temperature on drug stability, especially in the form of effervescent tablets. This study aims to determine the effect of storage temperature on the physical properties of effervescent tablets made from red dragon fruit peel extract ( Hylocereus polyrhizus ) combined with lemon fruit powder ( Citrus limon L.). The research method was carried out by storing effervescent tablets at cold temperature (±12 0 C), room temperature (±25 0 C), and warm temperature (±40 0 C). And observed for 1 month with testing every 1 week. The results of this study are storage temperature can affect the physical properties of effervescent tablets made from red dragon fruit peel extract ( Hylocereus polyrhizus ) with a combination of lemon fruit powder ( Citrus limon L.). The best temperature is cold temperature around 12 0 C because at that temperature the acid and base reactions in effervescent tablets are not excessive which results in effervescent tablets still in a stable condition
VALUE TRANSFORMATION IN ADULT EDUCATION

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 4901-4908ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1221Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain