Reviewerly/exHarmony huggingface dataset:
The Impact of Implementing Technology Brand Reputation and University External Image on The Student Adoption to Change: A Moderated Mediation Approach

Objective- The basic aim or objective of this study is to investigate the impact of implementing technology brand reputation and the university's external image on the student’s adoption to change. Based on the social identity theory this research recommends that implementing technology with brand reputation and university external image may induce their students to adopt these technologies. It is further argued that the effect of these factors also depend on the student’s university identification and their culture. Methodology/ design/approach - This study used the convenience sampling method for collecting the data from the 370 students of the educational sector in Pakistan during the implementation of new online technology systems. The model of this study was tested by using the structure equation modeling technique in Amos. Findings- The analysis of this study suggests that implementing technology brand reputation and the university external image positively increased the student’s adoption to change and their relationship is also importance for the better performance of university when student’s deification with the university are high and when they are loyal to their institution then they easily adopt the changes whatever technology is being implement in their institution. Value/originality - In this latest ere of research, technology play an important role in educational sector for different activities or most popularly for online classes during an epidemic situation which is need to study the role of brand reputation and university image in the student identification and adoption behavior. The study fills this gap and has two main contributions: one is how reputation of technological brand which is implementing in the university and their external image play a role in student adoption for change perspectives and second is how social identity perspective model leads students to quickly adopt this technological change.
Towards Controlling Mobile Robot Using Upper Human Body Gesture Based on Convolutional Neural Network

Human-Robot Interaction (HRI) has challenges in investigation of a nonverbal and natural interaction. This study contributes to developing a gesture recognition system capable of recognizing the entire human upper body for HRI, which has never been done in previous research. Preprocessing is applied to improve image quality, reduce noise and highlight important features of each image, including color segmentation, thresholding and resizing. The hue, saturation, value (HSV) color segmentation is executed by utilizing blue color backdrop and additional lighting to deal with illumination issue. Then thresholding is performed to get a black and white image to distinguish between background and foreground. The resizing is completed to adjust the image to match the size expected by the model. The preprocessed data image is used as input for gesture recognition based on Convolutional Neural Network (CNN). This study recorded five gestures from five research subjects in difference gender and body posture with total of 450 images which divided into 380 and 70 images for training and testing respectively. Experiments that performed in an indoor environment showed that CNN achieved 92% of accuracy in the gesture recognition. It has lower level of accuracy compare to AlexNet model but with faster training computation time of 9 seconds. This result was obtained by testing the system over various distances. The optimal distance for a camera setting from user to interact with mobile robot by using gesture was 2.5 m. For future research, the proposed method will be improved and implemented for mobile robot motion control.
Technological Pedagogical Content Knowledge (TPACK) Profile of Mathematics Prospective Teachers in the Micro Teaching Course from the Perspective of Teaching Style

The objective of this research is to ascertain the Technological Pedagogical Content Knowledge (TPACK) profile of prospective mathematics teachers in the microteaching course, as well as to explore the interrelation between teaching styles and TPACK. The research methodology employed in this study adopts a quantitative approach, specifically utilizing a survey research design. The target population for this investigation comprises prospective mathematics teacher students enrolled at Mathla’ul Anwar University in Banten, Indonesia. The sample for this study comprises students in their sixth semester of the Mathematics Education program who are currently enrolled in the microteaching course. The inclusion criteria for the sample require that these students have successfully completed coursework in foundational technology use, pedagogical principles, and both basic and advanced mathematics subjects. The research findings indicate that the majority of students exhibit a high level of Technological Content Knowledge (TCK) and Technological Pedagogical and Content Knowledge (TPACK), with percentages of 50% and 81.25% respectively. On the other hand, the majority of students demonstrate a moderate level of Pedagogical Knowledge (PK) and Technological Pedagogical Knowledge (TPK), with percentages of 56.25% and 31.25% respectively. Moreover, a significant portion of students show a low level of Technological Knowledge (TK) at 31.25%, Content Knowledge (CK) at 37.5%, and Pedagogical Content Knowledge (PCK) at 37.5%. The teaching style of prospective mathematics teachers tends to lean towards technological teaching and personalized teaching styles, wherein students utilize technology in the learning process and adapt teaching materials to match the readiness level of the students.
Image Quality Enhancement via Machine Learning: A Unified Approach to Super-Resolution, Denoising, and Low-Density Enhancement

Problem: The escalating demand for high-quality images across various applications has underscored the necessity for advanced image enhancement techniques. Traditionally, denoising, super-resolution, and low-density enhancement, the three key image enhancement techniques, have been approached independently, resulting in separate developments for each. Unfortunately, a unified framework that seamlessly combines all three techniques and surpasses individual method performance has been lacking. Proposed Idea: The objective of this research is to develop a unified image enhancement framework that not only unites these techniques but also substantiates its superiority over existing individual methods through an extensive series of experiments. The proposed method utilizes cascade autoencoder architectures to generate high-quality enhanced images. In addition, an auxiliary artifact type prediction module has been introduced to enhance the noise-awareness, resulting in improved accuracy. Result: The proposed method demonstrates superior performance in achieving state-of-the-art accuracy when evaluated against three image quality metrics on various public datasets. Additionally, the practical application of the proposed method showcases its efficacy in effectively solving real-world problems.
Category-aware Recycle Classification using Convolutional Neural Networks

Generally, the filtration of non-recyclable garbage is conducted in order to make a material recycling process efficient. However, this filtration task is very time-consuming and costly, since it is generally done manually. Thus, it is significantly considered that an automation technique is necessary in solving this problem. There have been a number of attempts to resolve this problem. The previous methods used the shallow convolutional neural network to compose their network. However, these methods tend to display poor accuracy, which makes it impossible to be applied in real-life situations. To solve this problem, I propose a novel category-aware recycle classification system. The proposed system is composed of three models, which are garbage feature extractor, garbage classifier, and recycle classifier. The input image is fed to the garbage feature extractor and then converted into feature maps. The feature maps are then fed to each the garbage classifier and the recycle classifier. The garbage classifier predicts the category of the input garbage image while the recycle classifier determines if the input is recyclable or not. Through experiments, the proposed method outperforms the other state-of-the-art methods by a maximum 20.2% difference in accuracy on Garbage Classification and Industrial and Residential Waste datasets.
Visual Servo Kinematic Control of Delta Robot using YOLOv5 Algorithm

Industrial delta robots with motion-and vision-base controllers, providing high-precision and fast/flexible motion, normally come with high cost and complex software. Low-cost delta robots with vision solution could be beneficial to vast industries to increase productivity and to reduce labor cost. A delta robot using a low-cost motion controller and an open-source vision system is developed to accomplish real-time visual servoing with high motion accuracy. In the low-cost motion controller, three parallel links’ upper-arm angles, computed from inverse kinematics for a given desired target position by a high-level computer, are used as reference position commands for three AC-motor drives. A low-level Arduino microcontroller is employed to convert these links’ angles to high-frequency pulses and on-off signals for synchronously controlling three motor angles and direction. Experimental results of a point-to-point motion tracking exhibit high-precision repeatability. Synchronous pulse generation from Arduino microcontroller and structural misalignments of parallel links are major challenges for achieving high motion accuracy. For the vision-based system, the YOLOv5 algorithm is implemented along with a Python GUI Application. Then, the visual-servo performance is evaluated on localization accuracy and recognition rate of 3-color objects. However, a partial object occlusion can reduce the visual classification rate. A sorting task of 4-category medicine boxes demonstrate a high-speed pick-and-place operation using the low-cost visual-servo system of this delta robot. Therefore, integration of low-cost visual servoing with this delta robot can revolutionize various industries, like automobile, pharmaceutical, and food sectors, in separating, sorting and packing applications.
The impact of digitalization and economic openness on economic growth in ASEAN countries

Digitalization with the Sustainable Development Goals (SDGs) Program is an essential means of encouraging the government to operate more openly and effectively, which can increase global economic growth. This research aims to assess how education, digitalization, and trade openness affect the economic development of ASEAN. This study uses independent variables in the form of government spending on education, individual internet users, foreign direct investment and consumer price inflation. The dependent variable is economic growth. This study uses the panel data regression method, from 2001 to 2020, with a cross-section of 7 ASEAN countries (Indonesia, Malaysia, Thailand, Laos, Singapore, the Philippines and Cambodia). According to the study, the economic growth in seven ASEAN countries is significantly influenced by government expenditure on education, individual internet users, and foreign direct investment. Empirical evidence confirms that digitalization positively impacts both the economy and society, as reflected in lower unemployment rates, improved quality of life, and increased access to public services and information. Furthermore, digitalization simplifies learning about various aspects and activities related to conducting trade, thereby contributing to economic growth. The limitation of the study is that there is no categorizing between developed and developing countries with different income groups that lead to different digital technology developments.
Macroeconomics, human development and political stability: evidence from OIC countries

This study aims to examine and analyze the effect of macroeconomic variables on the Human Development Index (HDI) in the Organisation of Islamic Cooperation (OIC) countries with political stability as the moderating variable. The GMM (Generalized Method Moment) dynamic panel and the MRA (Moderated Regression Analysis) will be used for determining the type of moderation needed as analysis techniques. In the first section, the findings state that inflation and unemployment have no effect on HDI, This is due to the fact that inflation and unemployment are very dependent on global economic fluctuation. Meanwhile, trade openness has a significant positive effect on HDI and foreign direct investment has a significant negative effect on HDI. This can add to the evidence that a high level of trade openness can support HDI values in OIC countries. Trade Openness can strengthen the economy, education, and health simultaneously by increasing prosperity through increased demand, supply, and services in numerous sectors. Secondly, the value of the moderator variable (political stability) on the relationship between unemployment and HDI demonstrates that political stability acts as a "Quasi Moderator" which means that political instability can exacerbate the negative influence of unemployment on HDI in OIC countries. This research has implications for the importance of cooperation between OIC countries in various fields, especially in increasing trade, investment, job creation and good governance to support the expansion of human development in OIC nations and to build sustainable prosperity.
Modified Q-Learning Algorithm for Mobile Robot Path Planning Variation using Motivation Model

Path planning is an essential algorithm in autonomous mobile robots, including agricultural robots, to find the shortest path and to avoid collisions with obstacles. Q-Learning algorithm is one of the reinforcement learning methods used for path planning. However, for multi-robot system, this algorithm tends to produce the same path for each robot. This research modifies the Q-Learning algorithm in order to produce path variations by utilizing the motivation model, i.e. achievement motivation, in which different motivation parameters will result in different optimum paths. The Motivated Q-Learning (MQL) algorithm proposed in this study was simulated in an area with three scenarios, i.e. without obstacles, uniform obstacles, and random obstacles. The results showed that, in the determined scenario, the MQL can produce 2 to 4 variations of optimum path without any potential of collisions (Jaccard similarity = 0%), in contrast to the Q-Learning algorithm that can only produce one optimum path variation. This result indicates that MQL can solve multi-robots path planning problems, especially when the number of robots is large, by reducing the possibility of collisions as well as decreasing the problem of queues. However, the average computational time of the MQL is slightly longer than that of the Q-Learning.
Peningkatan Kemampuan Membaca Huruf Hijaiyah Melalui Media Papan Pintar Kelompok A di RA Perwanida Kandangan

Learning media is a tool or means used to convey learning material effectively so that it can foster students' enthusiasm for learning in order to achieve learning goals. However, in reality at RA Perwanida Kandangan learning to recognize hijaiyah letters in group A still uses less innovative learning media, namely directly using iqra' supporting books. The media seems less attractive in the eyes of children. Children become lazy, bored, feel forced, and less motivated in learning. So that the ability of children to recognize hijaiyah letters in group A is still low. Hijaiyah smart board media was created as an alternative problem solving in learning to recognize hijaiyah letters. The purpose of this study was to increase the ability to recognize hijaiyah letters in group A at RA Perwanida Kandangan. This type of research is Classroom Action Research (CAR). This study consisted of three cycles consisting of four stages, namely: planning, acting, observing, and reflecting. This research was conducted at RA Perwanida Kandangan by taking group A subjects aged 4-5 years, totaling 15 children. The results of the research and assessment of PTK stated that there was an increase in the ability to read hijaiyah letters through smart board media that had been designed in group A at RA Perwanida Kandangan namely: before the action/pre-cycle the ability to read hijaiyah letters was stated as BB of 53.33%, MB of 33.33%, BSH of 13.33%, and BSB of 0%, in cycle I it was stated that BB was 15.55%, MB was 64.44%, BSH was 20% , and BSB 0%. In cycle II, the results of BB were 0%, MB were 22.22%, BSH were 51.11%, and BSH were 26.66%, and in cycle III it increased as expected by obtaining BB results of 0%, MB of 4.44%, BSH of 57.77%, and BSH of 37.77%. From the results of this study it can be concluded that there has been an increase in the ability to read hijaiyah letters through smart board media at RA Perwanida Kandangan
Efficient and Optimized Usage of Various Image Formats ( JPEG/ JPG vs PNG) in Applications

Images are an integral part of modern applications, ranging from websites to mobile apps and desktop software. To ensure optimal performance and user experience, developers must make informed decisions when choosing image formats. This article explores the characteristics of popular image formats such as JPEG, JPG, and PNG and provides guidelines for their efficient and optimized usage in different applications. By understanding the trade-offs between these formats, developers can make informed choices that align with their specific application requirements.
Peran Guru Dalam Menciptakan Komunikasi Efektif Pada Anak Usia 4-5 Tahun

What is the role of the teacher in creating effective communication in early childhood 4-5 years at Ki Hadjar Dewantoro State Kindergarten, Kota Selatan District, Gorontalo City. Thesis Results of the Department of Teacher Education, Early Childhood Education, Faculty of Education, State University of Gorontalo. The formulation of the problem in this study is "What is the Role of the Teacher in Creating Effective Communication in Early Childhood 4-5 Years at Ki Hajar Dewantoro State Kindergarten, Kota Selatan District, City of Gorontalo” The purpose of this study was to examine the role of the teacher in creating effective communication in early childhood 4-5 years at Ki Hadjar Dewanto State Kindergarten, South City, Gorontalo City. "This research uses qualitative methods obtained through observation, analysis, interviews and data collection. So that researchers can conclude "That the role of the teacher is very important in creating effective communication for aspects of early childhood development, because the teacher is the role of facilitator, evaluator, mtivator and administrator in shaping the character and soul of children, by educating, nurturing, and teaching and directing children better
Pengaruh Media Papan Huruf Terhadap Kemampuan Membaca Permulaan Anak Usia 5-6 Tahun

The study formulation was to find out the use of Letter Board Media on Early Reading Ability for Children Aged 5-6 Years at TK Mekar Wangi Kindergarten in Botubarani Village, Kabila Bone District, Bone Bolango Regency, while the study objective seeks to determine the aforesaid formulation. This study employed a quantitative pre-experimental design (one-group pre-test-post-test design). The findings, with a sample of 15 children, indicated a significant difference in the average pre-test and post-test results. This can be seen in the pre-test data obtaining an average value of 24.13 and a standard deviation of 1.12. Meanwhile, the post-test data obtained an average value of 39.86 and a standard deviation of 3.62. The results show a significant influence before and after the treatment. Based on the output of the statistical test, it is known that the Tcount value is 16.2, and the Ttable value is 0.08. Therefore 16.2 &gt; 0.088, thus, the hypothesis is accepted. Hence, the research hypothesis suggests that using letter board media influences the early reading ability of 5-6-year-old children at TK Mekar Wangi Kindergarten in Botubarani Village, Kabila Bone District, Bone Bolango Regency.&#x0D;
Pengembangan Media Pembelajaran Interaktif Berbasis Video Animasi Untuk Meningkatkan Minat Belajar Siswa SD

the field, students’ interest in learning is still very low. The purpose of this research is to develop interactive learning media based on video animation in attracting learning learning interest of elementary school students in Pohuwato Regency. The research method used is the Dick &amp; Carry research method with the aim of making video-based interactive learning for all elementary school students in Pohuwato Regency and determining the quality of interactive media based on assessment of media experts have an average feasibility value of 95 in the good category, while material experts have an average feasibility 97,53%, in the very good category. Small group trials have an average score of 83.94 %, in the good category. The results of the teachers assessment obtained an average score of 97, % in the very good category.
Pemanfaatan Video Pembelajaran Terhadap Kemampuan Kognitif Anak Usia 4-5 Tahun

The study's subject involved 10 children aged 4-5 years and applied qualitative method. The research findings indicated that using learning videos effectively stimulates cognitive development in 4-5-year-old children at TK Damhil UNG Kindergarten. Children's cognitive ability in number recognition is stimulated through a video that introduces numbers 1 to 10. The video helps children remember and store the information in their brains, thus enhancing their intelligence. In terms of color recognition ability, the provided video interprets various colors associated with objects familiar to children, such as plants, fruits, and animals. This helps children understand colors correctly, sharpen their visualization skills, and improve their ability to accurately differentiate and identify different colors. In terms of listening skills, children's abilities are stimulated through a video story about Indonesia, which includes the shape and colors of the Indonesian flag, the national emblem, and the names of presidents. This video stimulates children's thinking, emotions, and motivation to process information, thus enhancing their listening skills. In terms of auditory skills, the provided video contains sounds of various animals.