Reviewerly/exHarmony huggingface dataset:
Intelligent Hardware-Software Processing of High-Frequency Scanning Data

The constant emission of polluting gases is causing an urgent need for timely detection of harmful gas mixtures in the atmosphere. A method and algorithm of the determining spectral composition of gas with a gas analyzer using an artificial neural network (ANN) were suggested in the article. A small closed gas dynamic system was designed and used as an experimental bench for collecting and quantifying gas concentrations for testing the proposed method. This device was based on AS7265x and BMP180 sensors connected in parallel to a 3.3 V compatible Arduino Uno board via QWIIC. Experimental tests were conducted with air from the laboratory room, carbon dioxide (CO2), and a mixture of pure oxygen (O2) with nitrogen (N2) in a 9:1 ratio. Three ANNs with one input, one hidden and one output layer were built. The ANN had 5, 10, and 20 hidden neurons, respectively. The dataset was divided into three parts: 70% for training, 15% for validation, and 15% for testing. The mean square error (MSE) error and regression were analyzed during training. Training, testing, and validation error analysis were performed to find the optimal iteration, and the MSE versus training iteration was plotted. The best indicators of training and construction were shown by the ANN with 5 (five) hidden layers, and 16 iterations are enough to train, test and verify this neural network. To test the obtained neural network, the program code was written in the MATLAB. The proposed scheme of the gas analyzer is operable and has a high accuracy of gas detection with a given error of 3%. The results of the study can be used in the development of an industrial gas analyzer for the detection of harmful gas mixtures.
MOBILE APPLICATION FOR HALAL FOOD PRODUCT INFORMATION WITH GEOFENCING TECHNOLOGY BASED ON QR CODE

Industry 4.0 technology in the food sector aims to increase productivity more efficientlyand better quality to improve competitiveness. People are increasingly aware to alwaysseek information and use food products that will be consumed. Consumers really needaccurate information about the status of a food product easily and instantly. Design andimplement a mobile application that aims to improve consumer’s informationaccessibility about food products. This application also allow users to share informationabout food products using android-based mobile devices. The system is designed usedto get practical and easy solutions in verifying halal food products using QR(QuickResponse) codes and geofencing technology. This system will be tested using SIT(System integration testing) which is a process used to check the speed, stability,scalability and use of software resources. This application, it is expected to make it easierfor each user to know the halalness of food products as well as other information inorder to consume these products. Geofencing technology also makes it easier for usersto know the locations that provide the same product. Based on geofencing testing, thelow MSE value (0.51) owned by WiFi network, 3G network has a much greater value(12.13).Keywords : Geofencing, Halal Products, Mobile Application, QR Code, SystemIntegration Testing
Analisis Perwatakan Dan Nilai-Nilai Psikologi Tokoh Utama Dalam Novel “The Silent Patient” Karya Alex Michaelides Sebagai Alternatif Bahan Ajar Mengulas Novel Kelas XII SMK

This research is motivated by the author's desire to introduce novel literature to students and explore everything in it in the form of content, language, elements, rules, and genres in the novel. This study aims to analyze the character traits of the main character in the novel The Silent Patient by Alex Michaelides and to analyze the psychological values ​​of the main character by using Sigmund Freud's personality theory, namely id, ego, and super ego. This research is also an alternative teaching material regarding the content and language of novels for class XII students of SMA and SMK. The method used in this research is descriptive qualitative. The data source used in this research is the literary novel entitled The Silent Patient written by Alex Michaelides. The research data obtained is in the form of the results of the analysis of the character of the main character who has two character traits, namely the protagonist and antagonist. As well as the main characters who have psychological values ​​in accordance with Sigmund Freud's personality theory, namely the id, ego, and super ego. The results of the analysis from this study were then adjusted to the demands of the curriculum, namely referring to Core Competence and Basic Competence 3.9 regarding the content and language of the novel. Then made a teaching material to support the learning process of class XII students. The content and language teaching materials of the novel are based on the research process that has been carried out, and can be used in Indonesian language subjects.
Development of Speech Command Control Based TinyML System for Post-Stroke Dysarthria Therapy Device

Post-stroke dysarthria (PSD) is a widespread outcome of a stroke. To help in the objective evaluation of dysarthria, the development of pathological voice recognition and technology has a lot of attention. Soft robotics therapy devices have been received as an alternative rehabilitation and hand grasp assistance for improving activity daily living (ADL). Despite the significant progress in this field, most soft robotic therapy devices use a complex, bulky, lack of pathological voice recognition model, large computational power, and stationary controller. This study aims to develop a portable wirelessly multi-controller with a simulated dysarthric vowel speech in Bahasa Indonesia and non-dysarthric micro speech recognition, using tiny machine learning (TinyMl) system for hardware efficiency. The speech interface using INMP441, compute with a lightweight Deep Convolutional Neural network (DCNN) design and embedded into ESP-32. Feature model using Short Time Fourier Transform (STFT) and fed into CNN. This method has proven useful in micro-speech recognition with low computational power in both speech scenarios with a level of accuracy above 90%. Realtime inference performance on ESP-32 using hand prosthetics, with 3-level household noise intensity respectively 24db,42db, and 62db, and has respectively resulted from 95%, 85%, and 50% Accuracy. Wireless connectivity success rate with both controllers is around 0.2 - 0.5 ms.
Combining Passivity-Based Control and Linear Quadratic Regulator to Control a Rotary Inverted Pendulum

In this manuscript, new combination methodology is proposed, which named combining Passivity-Based Control and Linear Quadratic Regulator (for short, CPBC-LQR), to support the stabilization process as the system is far from equilibrium point. More precisely, Linear Quadratic Regulator (for short, LQR) is used together with Passivity-Based Control (for short, PBC) controller. Though passivity-based control and linear quadratic regulator are two control methods, it is possible to integrate them together. The combination of passivity-based control and linear quadratic regulator is analyzed, designed and implemented on so-called rotary inverted pendulum system (for short, RIP). In this work, CPBC-LQR is validated and discussed on both MATLAB/Simulink environment and real-time experimental setup. The numerical simulation and experimental results reveal the ability of CPBC-LQR control scheme in stabilization problem and achieve a good and stable performance. Effectiveness and feasibility of proposed controller are confirmed via comparative simulation and experiments.
Pengembangan Media Pembelajaran Aplikasi Android Berbasis Powerpoint Untuk Mengingkatkan Kemampuan Visual Matematis Siswa

The use of learning media that is less than optimal is the basis of this research with the aim of developing learning media for Android applications and knowing the process of student answers. This type of research is development research with a model adapted from Borg and Gall with a sample of class VIII-2 students of Santa Maria Private Middle School Medan, totaling 25 people. From the results of the study, it was obtained (1) the quality of the developed learning media met the valid, practical, and effective categories with an assessment by media experts of 3.82 and material experts of 3.87, practicality from the student response with a score of 3.61 and the teacher's response with a score of 4, and the effectiveness of classical student learning completeness reaches 92% of students and an n-gain score of 0.62 which means an increase in mathematical visual abilities is included in the moderate category. (2) The process of student answers shows that students have been able to identify problems, understand problems, generalize patterns and explain what is obtained, which means that students have fulfilled each indicator of mathematical visual ability, namely looking, seeing, imagining, showing and telling.
Hubungan Kepribadian Extraversion Dengan Perilaku Agresif Remaja Pengguna Game Online

Online game that contain element of violence and can be play multiplayer can trigger emergence of aggressive behavior especially for teenagers who use online games. The purpose of this study is to know is there a relationship between extraversion personality and aggressive behavior of adolescent who use online games. This research method is correlational with a quantitative approach. The number of subjects is 95 people were taken using a purposive sampling technique with criteria 1) adolescent 13-21 years old, 2) domiciled in Blitar 3) users of online game mobile legends, free fire, PUBG, and genshin impact. Numerical data analysis was processed using statistical methods using the IBM SPSS Statistics 21 application. The results of the research data analysis showed a significance value of t &gt; 0.05 with a value of r &gt; 0.5. So it can be conclude that there is a significant relationship between extraversion personality with aggressive behavior with a negative correlation direction which means if the higher individual’s extraversion personality type, the lower the aggressive behavior. Conversely, if the lower individual's extraversion personality type, aggressive behavior will tend to be high.
KONSELING KELOMPOK PADA SISWA MTs DARUL ABROR KEDUNGJATI BUKATEJA PURBALINGGA: APAKAH BERPENGARUH TERHADAP MOTIVASI BELAJAR SISWA? [GROUP COUNSELING OF STUDENTS AT MTs DARUL ABROR KEDUNGJATI BUKATEJA PURBALINGGA: DOES IT AFFECT STUDENT LEARNING MOTIVATION?]

This study aims to determine how much influence group counseling has on students' motivation to learn. The method used in this study was a pre-experimental design with a one-group pre-test post-test design. The sample or respondents in this study were 12 students at MTs Darul Abror Kedungjati Bukateja Purbalingga. Data collection techniques used in this study are using questionnaires and observation. The data analysis technique used in this study is the paired t-test. The results obtained are that there is an influence between group counseling and learning motivation. Where is the paired t-test on the basis of decision making paired t-test if the sig (2-tailed) is less than 0.05, then there is an influence between the pre-test and post-test data. In addition, the results obtained by the t-count are -16,150 so that it can be concluded that there is an influence between the variables X and Y. The results of this study can be useful for educators in the world of education to pay more attention to students in providing learning motivation to students.
The Effect of Story Completion to Students’ Speaking Ability In English Learning At Second Grade of Kecamatan Payakumbuh

This study was conducted to determine whether there is an effect on students' speakin bility when using the story c Kecamatan Payakumbuh ompletion techniqu e at SMPN 01 . This is done because students have low speaking skills. The problem is that teachers use limited techniques to teach students so that students have low learning motivation, a nd cannot improve their abilities. This study is a quantitative research experimental design. Data collection is done by using a speaking test. There are two tests in this study, the first, pre test and the second post of SMPN 1 test. The population in this study a Kecamatan Payakumbu re all second grade students. The researcher used purposive sampling to determine the number of samples. The sample in this study amounted to 58 respondents in the 2021/2022 academic year. To analyze the data, the researcher c alculated the speaking score. The results showed that the average score on the pretest was 55.8276, while the average score on the posttest was 63.1724 indicating an effect and improvement on students' speaking ability. S the story c tudents gave a positive response to ompletion technique, this is evidenced by the effect on the use of the story completion technique on speaking skills with a t count value greater than t table (2.284 &gt; 2.002). From the findings, it can be concluded that the story completion te chnique is effective in teaching speaking. Abstrak Penelitian ini dilakukan untuk mengetahui apakah ada efek terhadap kemampuan berbicara siswa jika menggunakan teknik story completion di SMPN 01 Kecamatan Payakumbuh. Hal tersebut dilakukan karena siswa memiliki kemampuan berbicara yang rendah. Permasalahannya guru menggunakan teknik yang terbatas untuk mengajarkan siswa sehingga siswa memiliki motivasi belajar yang rendah, dan tidak bisa meningkatan kemampuan mereka. Penelitian ini merupakan penelitian quantitative research experimental design. Pengumpulan data dilakukan dengan menggunakan tes speaaking. Terdapat dua tes di penelitian ini , yang pertama, pre-test dan ke dua post-test. Populasi dalam penelitian ini adalah seluruh siswa kelas dua SMPN 1 Kecamatan Payakumbuh. Peneliti menggunakan purposive sampling untuk menentukan jumlah sampel. Sampel pada penelitian ini berjumlah 58 responden pada tahun ajaran 2021/2022. Untuk menganalisis data, peneliti menghitung nilai speaking. Hasil penelitian: menunjukkan bahwa nilai rata-rata pada pretest adalah 55,8276, sedangkan nilai rata-rata pada posttest adalah 63,1724 menunjukkan adanya efek dan peningkatan pada kemampuan speaking siswa. Siswa memberikan respon positif terhadap teknik story completion, hal ini dibuktikan adanya efek pada penggunaan teknik story completion terhadap kemampuan berbicara dengan nilai t-hitung lebih besar dari t-tabel (2,284 &gt; 2.002 ). Dari hasil temuan Dapat disimpulkan bahwa tekhnik story completion efektif dalam mengajar berbicara.
Keyword/ Keyphrase Extraction from Text of Indian Election Domain

In recent years, there has been a tremendous increase in the amount of data generated from various sources including social media, news articles, and blogs. With the rise of social media platforms, people are expressing their opinions more freely than ever before. This has led to an explosion of data in the Indian Election domain, where people express their views on various political parties and candidates. In order to extract meaningful information from this vast amount of data, it is important to identify and extract relevant keywords and phrases. Keyword and phrase extraction is the process of automatically identifying important words and phrases from a piece of text. This process is crucial for various natural language processing tasks such as text mining, sentiment analysis, topic modeling, and text classification. In this research paper, we focus on the task of keyword and phrase extraction from Indian Election domain text. We aim to extract relevant keywords and phrases that are most commonly used in the context of Indian elections. This research is important as it can help in understanding the key issues and concerns of Indian voters during the election season. We use various natural language processing techniques and machine learning algorithms to extract keywords and phrases from a large corpus of Indian Election domain text. Our approach involves pre-processing the text, including tokenization, stop-word removal, stemming, and POS tagging. We then use various statistical and machine learning models to identify the most relevant keywords and phrases.
Nasarre, E. (Ed.) (2022). Por una educación humanista. Un desafío contemporáneo [In favour of humanistic education. A contemporary challenge] (Clara Ramírez-Torres)

I remember a phrase I heard once. It was something like: “in the sciences we build the world, whereas in the arts you just write about how we do it”. The truth is that it is a sign of great ignorance not only to lack knowledge of something but also to not even understand the influence (and therefore the power) that this knowledge can have. Maybe, if we alter it in the following way, the phrase above may be more truthful: “those in the arts state how the world is (or will be) and those in the sciences build it in accordance with these statements”1. ,
Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot

One of the technologies in the industrial world that utilizes robots is the delivery of goods in warehouses, especially in the goods distribution process. This is very useful, especially in terms of resource efficiency and reducing human error. The existing system in this process usually uses the line follower concept on the robot's path with a camera sensor to determine the destination location. If the line and destination are not detected by the sensor or camera, the robot's navigation system will experience an error. it can happen if the sensor is dirty or the track is faded. The aim of this research is to develop a robot navigation system for efficient goods delivery in warehouses by integrating odometry and Dijkstra's algorithm for path planning. Holonomic robot is a robot that moves freely without changing direction to produce motion with high mobility. Dijkstra's algorithm is added to the holonomic robot to obtain the fastest trajectory. by calculating the distance of the node that has not been passed from the initial position, if in the calculation the algorithm finds a shorter distance it will be stored as a new route replacing the previously recorded route. the distance traversed by the djikstra algorithm is 780 mm while a distance of 1100 mm obtains the other routes. The time for using the Djikstra method is proven to be 5.3 seconds faster than the track without the Djikstra method with the same speed. Uneven track terrain can result in a shift in the robot's position so that it can affect the travel data. The conclusion is that odometry and Dijkstra's algorithm as a planning system and finding the shortest path are very efficient for warehouse robots to deliver goods than ordinary line followers without Dijkstra, both in terms of distance and travel time.
USE OF REALIA MEDIA TO IMPROVE CHILDREN'S MATHEMATICS LEARNING OUTCOMES IN PAUD PERMATA IMAN

This research was conducted on Permata Iman PAUD children whose background was the low learning outcomes of children in mathematics.The purpose of this study was to improve children's mathematics learning outcomes with the help of realia media in the form of coloredpaper. This research was conducted using action research methods with 2 cycles. In cycle I, an average value of 66.20 was obtained.In cycle 1, only 13 people reached the KKM out of a total of 24 children. In the second cycle, an average value of 79.62 was obtained andall children achieved KKM scores and some even exceeded it. From these results it can be concluded that the use of realia media can improvethe mathematics learning outcomes of Permata Iman PAUD children. This can also be proven by showing the percentage of children's learningcompleteness results in cycle I of 54.16%, then increasing in cycle II to 100%.
PEMANFAATAN MEDIA DAN SUMBER BELAJAR UNTUK PENGEMBANGAN KOGNITIF AUD

The development of science and technology demands high-quality natural resources that are capable of facing various challenges. Therefore, education must always be taken into account and prioritized to produce quality individuals. Teachers, as one of the important components of successful learning, must be able to position themselves as figures who can ignite students' passion for learning. Teachers play a crucial role in the success of learning. They are not just instructors but also motivators and drivers of students' learning interest. An effective teacher should be able to ignite students' desire to learn.&#x0D; One way teachers can achieve this is by understanding the needs and interests of students. Teachers need to recognize the characteristics and potentials of each student so that they can adapt teaching methods and materials accordingly. Teachers also need to build positive emotional relationships with students so that students feel comfortable and motivated to learn. Additionally, teachers need to utilize various technologies and innovations in the learning process. The use of technology can help teachers present materials in a more engaging and interactive way, making students more interested and involved in learning. By leveraging technology, teachers can also bring relevant and up-to-date content into the learning environment.&#x0D; Moreover, teachers should serve as role models for students. They should have in-depth knowledge and continue to develop themselves in their field. Teachers with up-to-date knowledge will be able to inspire and motivate students to continue learning and self-development. In the face of rapid developments in science and technology, education must always be taken into account and prioritized. Teachers, as crucial components of successful learning, have a crucial role in igniting students' passion for learning. With quality education, it is expected to create human resources capable of facing various challenges in the era of scientific and technological advancements.
Abad, M. J. (Coord.) (2022). Empantallados. Cómo educar con éxito a tus hijos en un mundo lleno de pantallas [Screen-addicts. How to educate your children successfully in a world full of screens]. (Ezequiel Delgado-Martín)

An idea that is engraved in stone, and that we all have, is that technology is here to stay. Although until 2019 we could clearly see its importance in our everyday lives, since the COVID-19 pandemic it has become obvious that now, not only is it important, it is necessary. Rick Howard, vice president of research at the technology consultancy Gartner, indicates that “while pandemic related challenges will continue for some time, technological trends have emerged that present critical challenges” (Howard et al., 2021). ,
Cognitive Computing and Emotional Intelligence in Content Personalization

This research paper is focused upon the problem connected with cognitive computing and emotional intelligence from the point of view of content marketing, analyzing analytics, reporting and personalization in terms of content. In the literature review, we trace the history of content marketing and commercials throwing away a significant range of events such as milestones that have contributed to the current trend for analytics embedded in structuring content strategies.