Reviewerly/exHarmony huggingface dataset:
Design and research of multi-system-interaction robot in digital exhibition hall

As an important role in the digital exhibition hall, an interpretive robot could perform guidance, interaction, reception, and other functions. It can replace repetitive explanation tasks, improve the digitalization level of the exhibition hall, and save labor costs and management costs. However, multimedia playback, automatic door, and other electrical equipment in the exhibition hall still need manual control, and real-time data-related questions still need to be answered by the narrator. To solve these problems, the multi-system-interaction robot is designed and optimized. The robot interacts with the central control system of the exhibition hall through a variety of communication methods and controls the operation of the equipment independently. At the same time, the robot can independently obtain real-time data from the server and answer real-time data-related questions. The test results show that the designed robot system can significantly reduce the workload of the interpreter in the process of explanation, and realize the whole process of unmanned operation with multi-system interaction.
Semantic aggregation for accurate and efficient object detection

Single Shot Multibox Detector (SSD) uses multi-scale feature maps to detect and recognize objects, which greatly improves the performance of single-stage approaches, but it is still not conducive to detecting small objects. Researchers focus on enhancing features on the feature pyramid. However, many networks simply merge several feature maps, ignoring fully aggregating the semantics among different scale features. On this basis, this paper proposes an efficient semantic aggregation module and a lightweight feature combination module, which can significantly improve the detection accuracy based on SSD. In the semantic aggregation module, the feature maps of different sizes are adjusted and integrated through different channels to obtain the enhanced features with rich semantic information, which can improve the discrimination and expression ability of the features. In the feature combination module, the detector can fully utilize the multi-scale convolution layers in the feature pyramid to produce more descriptive and representative enhanced features with rich semantics. Our proposed network with 512×512 input size can respectively achieve 82.6% mAP and 81.3% mAP (mean Average Precision) in VOC2007 test and VOC2012 test datasets. Some experiments and ablation studies show that this method is superior to many advanced detectors in accuracy and speed.
Pengaruh Perbedaan Waktu Belajar terhadap Hasil Belajar Bahasa Inggris Mahasiswa Universitas Teknologi Mataram

This study aims to determine (1) Is there any effect of differences in learning time on English Learning Outcomes of 2nd Semester UTM Management Study Programs (2) How big is the effect of differences in study time on English Learning Outcomes of 2nd Semester UTM Management Study Program students by comparing the scores their Final Semester Examination scores. This research method is descriptive quantitative because it will process data in the form of Final Semester Exam (UAS) scores for English Course Students in the 2nd semester of the UTM Management Study Program. Data in the form of student scores were divided into 2 groups. Namely the value of students who study in the morning and the value of students who study in the afternoon. The 2 groups of data will be compared by looking at the highest value, lowest value and average value. The results of the analysis show that there is an effect of differences in study time on English Learning Outcomes of 2nd semester students of the UTM Management Study Program with the following comparison the maximum score of students in the morning is 95.00. The minimum score is 56.00 with an average of 82.33. While the value for afternoon students, the maximum score is 90.00, the minimum score is 56.00 with an average value of 76.80. The average score for students who study in the morning is higher than the average value of students who study in the afternoon.
Meningkatan Hasil Belajar IPS melalui Model Pembelajaran Problem Based Learning Berbantuan Media Gambar Siswa Kelas VI.B SD Negeri Model Mataram

The aim of this research is; 1) To find out the application of the problem based learning model with the aid of image media to the social studies material for students in class VI.B of the Mataram Model State Elementary School in the Odd Semester of the 2021/2022 Academic Year; 2) To find out the improvement of social studies learning outcomes through a problem-based learning model assisted by image media for Class VI.B students of the Mataram Model State Elementary School in the Odd Semester of the 2021/2022 Academic Year. This research is a Classroom Action Research (CAR), using two cycles through the stages of planning, implementing action, observing, and reflecting. The subjects in this study were class VI.B students of SD Negeri Model Mataram for the academic year 2021/2022 with a total of 18 students, consisting of 10 male students and 8 female students. The results of this study indicate that; The application of the Problem Based Learning model assisted by picture media in social studies learning can improve student learning outcomes when teaching and learning activities take place, that of the number of students, namely 18 people, whose scores are equal to or more than the KKM are 18 people, and if the percentage is 100%. This shows an increase from the initial conditions and the first cycle, namely from the number of students who completed as many as 13 people (72.22%) then to 15 people (83.33%) and increased again to 18 people (100%); The application of the Problem Based Learning model in social studies learning can improve student learning activities. The score of students' ability in social studies learning using the Problem Based Learning model in class VI.B of the Mataram Model State Elementary School during the first cycle to the second cycle continued to increase. In the first cycle, the score of students' improvement in learning was 25.00%. In the implementation of the second cycle the score increased by 17.50%, an increase of 42.50 points. While the teacher's ability score in implementing social studies learning using the Problem Based Learning model in class VI.B SD Negeri Mataram Model during the implementation of the first cycle to the second cycle continued to increase. In the first cycle the teacher's ability to carry out learning is 78.67%. In the second cycle the teacher's ability to carry out learning increased by 93.33%. In the implementation of the second cycle the teacher's ability to carry out learning has increased by 14.66 points.
Peranan Orangtua dalam Meningkatkan Motivasi Belajar Anak di PAUD Salikussibyan Dusun Kelotok Desa Wakan Kecamatan Jerowaru Lombok Timur

This research is entitled "The Role of Parents in Children's Learning Motivation at PAUD Salikussibyaan, Kelotok Hamlet, Wakan Village, Jerowaru District, East Lombok Regency". This study aims to determine the actions of parents in increasing children's learning motivation and to find out the obstacles faced by parents in increasing children's learning motivation in Salikussibyaan PAUD. This research is a descriptive qualitative research. The object of research is all parents of students whose children study at PAUD Salikussibyaan Kelotok which collected 54 people consisting of class A and class B. Data were obtained by observation, interview and documentation techniques. As for the data sources are parents of students who have children aged 5-6 years which is done with a sampling technique that is from the total population taken 10 people. Based on the research conducted, it was found that the role of parents in increasing children's learning motivation is still said to play an active role, in other words it is still relatively low because the motivation given by parents to children is only in matters of financing and words or advice, while children's daily lives still get less attention. from parents. Attention is still focused on the busyness of working every day both as laborers, farmers, employees and traders. In addition, parents also lack education and experience about the world of learning because on average they have a low educational background, from just elementary school graduates to those who have never received formal education at all.
Image-Based Object Detection Approaches to be Used in Embedded Systems for Robots Navigation

This paper investigates the problem of object detection for real-time agents’ navigation using embedded systems. In real-world problems, a compromise between accuracy and speed must be found. In this paper, we consider a description of the architecture of different object detection algorithms, such as R-CNN and YOLO, to compare them on different variants of embedded systems using different datasets. As a result, we provide a trade-off study based on accuracy and speed for different object detection algorithms to choose the appropriate one depending on the specific application task.
All the Solutions of the Diophantine Equations 13x – 5y = z 2 , 19x – 5y = z 2 in Positive Integers x, y, z

In this article, the author has investigated the equations 13x – 5y = z 2 and 19x – 5 y = z 2 with positive integers x, y, z. It was established that 13x – 5y = z 2 has a unique solution, whereas 19x – 5y = z 2 has no solutions.
Working with Symbol Warping Tools

Chapter Goal: Look at tools used specifically for altering symbols.
ESP STUDENTS’ USE OF APPRAISAL LANGUAGE IN TOURISM BLOGS

ABSTRACTThis study investigated how ESP students used appraisal language in their tourism blogs. The research design used in this study was a qualitative content analysis. The data sources of this research were ten tourism blogs written by the seventh-semester students taking English for Tourism course. These blogs were selected based on several criteria: a) they were written by students who had good writing skills, and b) they promoted tourism spots in Bali. The obtained data were analyzed by using several steps, namely a) determining the single clause that existed in each sentence; b) identifying clauses based on appraisal theory (attitude, engagement, and graduation), c) categorizing clauses into appraisal language, and d) concluding. The results showed that students realized appraisal language through three types of resources: attitude, engagement, and graduation. Attitude was realized through appreciation and affect; Engagement was realized through expansion and contraction; and Graduation was realized through force and focus. This study implies that to create tourism blogs well, students do not only simply include appraisal language in their writing but also learn how to use them in purposeful and strategic ways.ABSTRAKPenelitian ini bertujuan untuk menganalisis bagaimana mahasiswa ESP menggunakan appraisal language pada tourism blogs. Rancangan penelitian yang digunakan dalam penelitian ini adalah analisis konten kualitatif. Sumber data penelitian ini adalah sepuluh tourism blog yang ditulis oleh mahasiswa semester VII yang mengambil mata kuliah English for Tourism. Tourism blogs ini dipilih berdasarkan beberapa kriteria: a) tourism blogs ditulis oleh mahasiswa yang memiliki keterampilan menulis yang baik, dan b) tourism blogs mempromosikan destinasi wisata di Bali. Data yang diperoleh dianalisis dengan menggunakan beberapa langkah, yaitu a) menentukan klausa yang ada pada tiap kalimat; b) mengidentifikasi klausa sesuai dengan teori appraisal (attitude, enggagement dan graduation), c) mengelompokkan klausa ke dalam appraisal language, dan d) menarik simpulan. Hasil penelitian menunjukkan bahwa mahasiswa merealisasikan appraisal language melalui tiga jenis resources: attitude, engagement, dan graduation. Attitude direalisasikan melalui appreciation dan affect; Engagement direalisasikan melalui expansion dan constraction; dan Graduation direalisasikan melalui force dan focus. Penelitian ini menyiratkan bahwa untuk membuat tourism blog yang baik, mahasiswa tidak hanya sekedar memasukkan appraisal language dalam tulisan mereka tetapi juga belajar bagaimana menggunakannya dengan cara yang strategis.How to Cite: Marsakawati, Ni P. E.(2022). ESP Students’ Use of Appraisal Language in Tourism Blogs. IJEE (Indonesian Journal of English Education), 9(2), 289-310. doi:10.15408/ijee.v9i2.24574
Ethnographic Research among HEAC Students at Busitema University on their Attitude to the Nature of Poetry

The inherent attributes of poetry have been a stumbling block for many over the years.Majority of the language and literature students preferred prose fiction and held an equally overwhelming distaste for poetry.However, there is very little that has been documented on the inherent attributes of poetry and their effect on aversion.Educational ethnography methods were employed including direct observation, face to face interviews, analytic induction, archival research and participatory discussions with HEAC students.The study established that the nature of poetry was intimidating owing to its uniqueness but, on close frequent interactions with it, the students discovered a whole new world in literary form and had attitude change.
ANALYSIS OF THE FORMATION AND DEVELOPMENT OF MODERN TRENDS IN FORENSIC METHODS OF INVESTIGATING CRIMES AGAINST SEXUAL INVIOLABILITY OF MINORS

The article is devoted to modern trends in the forensic methods of investigating crimes against the sexual inviolability of minors. Statistics show that most of these crimes are committed at home and by people from close associates. The author identifies the reasons for the complexity of the investigation of crimes against the sexual inviolability of minors. In connection with the “natural aging” of forensic methods of investigating crimes, the formation and development of new modern directions is required, taking into account the specifics of crimes against the sexual inviolability of minors. In particular, the necessity of developing a unified methodology for the investigation of such crimes is substantiated. The achievements of forensic science, which are a reflection of the dynamics of criminal law and criminal procedural relations, can serve as a basis. The analysis made it possible to conclude that the modern forensic methodology for investigating crimes against the sexual inviolability of minors has not yet been fully formed. The digital age is changing the behavior of children and possibly increasing their vulnerability. The emergence of new forms of violence necessitates further detailing of the private methodology for investigating crimes against the sexual inviolability of minors. In particular, cases of committing crimes of this category using the Internet have become more frequent (Articles 121, 124 of the Criminal Code of the Republic of Kazakhstan). And here international cooperation is required to develop a common for all appropriate terminology and description of the constituent elements of various forms of these acts, as well as their legal status. At the national level, the development of a national computer investigation strategy is required. The conclusion is made about the need for further development and detailing of modern directions of forensic methods of investigation of the considered group of crimes, in particular, digital forensics.
Upaya Meningkatkan Hasil Belajar Bahasa Indonesia Materi Menulis Puisi Bebas melalui Penggunaan Model Pembelajaran Picture and Picture pada Siswa Kelas XI TKJ-1 SMK Negeri 2 Karang Baru Kabupaten Aceh Tamiang

The objectives of this study are: To Improve Learning Outcomes Indonesian Free Poetry Writing Material for Class XI TKJ-1 Students of SMK Negeri 2 Karang Baru Aceh Tamiang Regency Through the Use of Picture and Picture Learning Models. This study used action research as many as two cycles of 4 meetings. Every te cycle. From the results of analysts, it was found that student learning achievement increased, namely cycle I of the first meeting (60%), the second meeting (65%), and cycle II of the first meeting (80%), the second meeting (90%). from this research are: (1)"Through the Use of Picture and Picture Learning Models, it can Improve Learning Outcomes Indonesian Free Poetry Writing Material for Class XI TKJ-1 Students of SMK Negeri 2 Karang Baru, Aceh Tamiang Regency". (2) The improvement results are characterized by the occurrence of learning completion, namely in the initial condition of students who are completed only 30% with an average score of 8, in the first cycle the first meeting increases to 60% with an average score of 60, cycle I of the second meeting increases to 65% with an average score of 65. In cycle II of the first meeting, the student's learning completion was 80% with an average score of 75 and in the second cycle of the second meeting, student learning outcomes were declared complete, namely the student's learning completion became 90%.
Mr. Kangean Island Marketplace Design and Development Using Hybrid Model

The use of the web as a promotional medium or as a media to help sales of a product is no longer a difficult thing. Currently the web is needed by anyone, from government offices, hospitals, schools, even to MSMEs in Indonesia. Marketplace is one form of application that can be used by users as a place for buying and selling community products or MSMEs. Kangean Marketplace is a place for buying and selling community products in Kangean, Madura, East Java, Indonesia. Palau Kangean is one of the islands in Sumenep Regency, Madura, East Java. Kangean Island itself is a small island that can be reached by boat transportation where the journey takes between 10 to 15 hours from Sumenep. Marketplace needs are needed by the Kangean community. The development of Kangean Marketplace utilizes the checklist method, Merapi Analysis Framework, and the Incremental Model. From the test results, it was found that the Kangean marketplace web application received an assessment of 80,08%, which means that the Kangean marketplace is suitable for use by the Kangean community
Design and Validation of a Questionnaire to Assess Digital Communicative Competence in Higher Education

This paper shows the design and validation of a questionnaire aimed at college students to assess digital communicative competence.Starting from the theoretical framework presented, we conceptualized digital communicative competence as the intersection between communicative and digital competences.To that effect, we hereby explain the analysis and validation procedure of the psychometric properties of the assessment instrument.The survey respondents consisted of 260 students were in the first semester of their degree program in Computer Engineering who were taken through for convenience technique.These responses were randomly divided into two samples (for exploratory factor analysis and for confirmatory factor analysis) to prevent unrealistic fit values.The exploratory factor analysis result shows that the model forms six factors, which are factor 1 (publication of information), factor 2 (creation and editing of digital contents), factor 3 (digital content production preferences), factor 4 (operation and search for information), factor 5 (collective intelligence through technology) and factor 6 (digital content consumption preferences).The result of the goodness of fit model shows that the instrument has met all the criteria with a value of χ2/df = 1.64,RMSEA = .078,TLI = .897,and CFI = .907.The results revealed the existence of significant psychometric features of the constructed questionnaire.
Detection of Credit Card Fraud with Machine Learning Methods and Resampling Techniques

Financial institutions in the form of banks provide facilities in the form of credit cards, but with the development of technology, fraud on credit card transactions is still common, so a system is needed that can detect fraud transactions quickly and accurately. Therefore, this study aims to classify fraudulent transactions. The proposed method is Ensemble Learning which will be tested using the Boosting type with 3 variations, namely XGBoost, Gradient Boosting, and AdaBoost. Then, to maximize the performance of the model, the dataset used is optimized with the Synthetic Minority Oversampling Technique (SMOTE) function from the Imblearn library in the data train to handle imbalanced dataset conditions. The dataset used in this study is entitled "Credit Card Fraud Detection" with a total of 284807 data which is divided into two classes: Not Fraud and Fraud. The proposed model received a recall of 92% with Gradient Boosting, where the results increased by 10.37% compared to the previous study using Random Forest with a recall result of 81.63%. This is because the use of SMOTE in the data train greatly influences the classification of Not fraud and fraud classes.&#x0D;
K-Means Clustering Algorithm Approach in Clustering Data on Cocoa Production Results in the Sumatra Region

Cocoa agricultural production in Indonesia is currently very low while demand continues to increase every year, so it is very important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze agricultural data using data mining techniques that specifically use the K-Means Clustering algorithm, and Gaussian Mixture Models. In this research, we used quantitative research because it measure number-based data. The results of cocoa production so far still depend on land area, then the number of cocoa trees has a significant effect on the amount of production so it is very important for the government and researchers to develop technologies that can increase cocoa production yields where the demand for cocoa is currently very high in demand worldwide because it can classify the cocoa quality from good quality to poor quality. Based on testing the K-Means Clustering and Gaussian Mixture Model algorithms on data on cocoa production in four provinces, namely North Sumatra, West Sumatra, Lampung and Aceh which were optimized by the Silhouette method, it produced cluster values ​​of 2, 3 and 4. second with a value of 59.8%.&#x0D;
Pseudorandom number generator influence on the genetic algorithm performance to minimize maritime cargo delivery route length

We consider a problem of minimizing the maritime cargo delivery route length to reduce the delivery cost. In our model, the cost is equivalent to the sum of tour lengths of feeders used for the delivery to cover the route. Formulated as a multiple traveling salesman problem, we solve it with a genetic algorithm. The algorithm performance is dramatically influenced by the stream of pseudorandom numbers used for randomly generating the starting population and accomplishing random mutations. As the number of ports increases from 10 to 80, the route length variation intensifies from 3.5% to 22.5% on average. However, we increase the route length minimization accuracy by re-running the algorithm to solve the same problem until closely the best solution is obtained. The number of reruns is about 3 to 6 for up to 20 ports. For more than 20 ports the required number of algorithm reruns abruptly increases from 28 reruns for 30 ports to about 51 reruns within the range of 40 to 80 ports.
Using MDS preference plot as visual analytics of data: A machine learning approach

The primary purpose of this paper is to advocate the use of multidimensional scaling (MDS) preference plot to study relationships among variables and individual differences in these variables. MDS preference plot is not a new visual technique; nevertheless, its application to visualize individual differences in variables for high-dimensional data is rare, particularly in education and social sciences. We illustrated its application using a real example in an educational setting. The results indicate that the MDS preference plot is a viable visualization technique for data mining and analytics. Traditional statistical methods, such as the analysis of variance, can be used to further support the visual analysis results.