Reviewerly/exHarmony huggingface dataset:
College students' perceptions toward usability of simulator application as a form of virtual experiment at the distance learning

Authors:
raw_author_name: Dian Nurdiana
raw_affiliation_string: Universitas Terbuka
raw_author_name: Siti Hadijah Hasanah
raw_affiliation_string: Universitas Terbuka

Abstract: The use of simulator applications as one of the learning media is used in face-to-face classes. Its use is rarely used to support distance learning. In fact, the distance learning process must have the same quality as face-to-face learning. The role of technology and media is one of the keys to success in conveying material to students. This study examines the use of simulator applications in distance learning in terms of its reusability. The simulator application used is Cisco Package Tracer on learning computer networks with modules as the main teaching material used by students. The use of this media aims to understand and practice computer network simulations. By involving 60 participants, a case study regarding usability feasibility was measured by using the USE Questionnaire which consisted of 4 usability dimensions: Usefulness, Ease of Use, Ease of Learning, and Satisfaction. The findings show that the use of simulator applications in distance learning gets good or positive responses in the context of usability. This shows that the use of simulator applications is suitable for use in distance learning.
Twitter Data Sentimen Analysis 2024 Presidential Candidate Using Algorithm Naïve Bayes Classifier By Methods K-Fold Cross Validation

Authors:
raw_author_name: None Syafriandi Syafriandi
raw_author_name: None Dony Permana
raw_author_name: None Dina Fitria

Abstract: Indonesia implements a democratic system by involving the public in General Elections (Pemilu) for specific political positions. The active community expresses opinions on social media, especially regarding the 2024 Presidential Election (Pilpres) and respective presidential candidates, which have become trending topics on Twitter. The analysis used to absorb these tweets into information is sentimen analysis using the Naïve Bayes Classifier algorithm with the K-fold Cross-Validation method. Through the stages of pre-processing, weighting, labeling, classification using NBC, and testing using a Confusion Matrix, The results of the classification from NBC showed that Anies got 80% positive tweets and 20% negative tweets from 1186 tweets, Prabowo Subianto got 78% positive tweets and 22% negative tweets from 1149 tweets, and Ganjar Pranowo got 77% positive tweets and 23% negative tweets from 1075 tweets. Testing process was carried out using the NBC algorithm with the K-Fold Cross Validation method using values k=1 to k=10. The function of K-Fold Cross Validation is to maximize the confusion matrix result. It can be conclude that Anies Baswedan has the highest score in iteration 4, namely a precision value of 90%, a recall value of 99%, and the accurary value of 91%. Furthemore, Ganjar Pranowo had the highest score in iteration 9, namely a precision value of 95%,a recall value of 97%, and an accuracy value of 92%. Meanwhile, Prabowo Subianto had the highest score in iteration 9, namely a precision value of 97%, a recall value of 99%, and an accuracy value of 94%.
Sentiment Analysis about Anti-LGBT Campaign using the Naïve Bayes Classifier

Authors:
raw_author_name: None Syafriandi Syafriandi
raw_author_name: None Dony Permana
raw_author_name: None Dina Fitria

Abstract: Social media is growing so that the news that is discussed is also very fast to be known by everyone. The news or topic that is being discussed on social media is the anti-LGBT campaign. The conversation about the anti-LGBT campaign is expressed in the form of opinions that contain positive and negative feelings. The opinion is conveyed through Twitter. Twitter is a microblogging social media that allows users to create short messages and share them easily and quickly. Opinions on Twitter are used to see whether the opinion rejects or supports the anti-LGBT campaign. The use of sentiment analysis helps to see the opinion supports or rejects the anti-LGBT campaign. The algorithm used to perform sentiment analysis is the Naïve Bayes Classifier. The purpose of this study is to determine the sentiment analysis of anti-LGBT campaign tweets on Twitter. In this study using Google Colaboratory tools. The dataset used is 3103 tweets with 80% training data and 20% test data. The sentiment analysis results obtained in this study show taht Twitter users in Indonesia give more positive opinions. The use of the Naïve Bayes Classifier algorithm produces an accuracy of 68,75%, precision of 99,6%, and recall of 92,8%.
E-invoicing: A Catalyst for Digitalization and Sustainability

Authors:
raw_author_name: Andreja Pucihar
raw_affiliation_string: 2 Univerza v Mariboru , Fakulteta za organizacijske vede , Kranj , Slovenia

Abstract: Abstract Background and Purpose Digitalization brings a wide range of opportunities for both digital and sustainable transformation. One of the first steps on this journey is the digitization of business documents and digitalization of business processes. The European Commission has recognised the advantages of digitalization, particularly in the context of e-invoicing, which can contribute significantly to economic prosperity and align with public policy goals such as deficit reduction and sustainable development. Despite the successful adoption of e-invoicing in the public sector, the uptake of e-invoicing in business-to-business (B2B) transactions is surprisingly low. This research focuses on Slovenia, a small European country that imple-mented e-invoicing as mandatory between enterprises and the public sector in 2015. Methods To investigate e-invoicing adoption in the wider population, we designed an online survey, which was conducted among 284 organizations in Slovenia. The collected data were analyzed using SPSS 28 software. One sample t-test was used to evaluate the importance of identified advantages, barriers and incentives for e-invoicing usage. Further, we ran an inde-pendent sample t-test to identify statistically important differences in the importance of ad-vantages, barriers, and incentives between organizations with lower and higher levels of e-invoicing usage. Results The results showed that organizations recognize the benefits of e-invoicing well and perceive them as important. The most important barriers to e-invoicing adoption are related to the business environment, unawareness and lack of knowledge about how to implement e-invoicing. Desired incentives for wider e-invoicing adoption are related to easier and lower costs of technical implementation, provided training and education, including best practices, as well as the availability of government grants and other support measures on the state level, including legislation, public directory of business entities using electronic document exchange and service providers. Conclusion The paper provides important information for decision-makers and public ad-min-istrations to take appropriate measures and incentives to further support wider adoption of e-invoicing and exchange of other e-documents to exploit opportunities of digitalization better.
The Relationship between Academic Demands, Academic Resources, Academic Emotions, and Classroom Attention Difficulties: A Focus on the Daily Diary Method

Authors:
raw_author_name: Seokjin Yang
raw_author_name: Sang Min Lee
raw_author_name: Hajin Lim

Abstract: The purpose of this study was to examine the relationship between academic demands, academic resources, academic emotions, and classroom attention difficulties at both the within-individual and between-individual levels. The study involved 179 elementary school students in the 5th and 6th grades who participated in a repeated-measures survey over a 10-day period. Mplus 8.0 was used to test model fit and mediation effects. The research model, which included a direct path from academic demands and resources to classroom attention difficulties, was compared with a competing model that excluded the direct path, and the research model provided a better fit to the data. At the within-individual level, the experience of boredom fully mediated the relationship between daily academic demands and classroom attention difficulties. At the between-individual level, academic resources and academic demands led to classroom attention difficulties only through learning-related boredom. The findings suggest that it is important to consider intra-individual variability when identifying emotional or behavioral problems in an academic context, and that addressing classroom boredom, along with environmental factors such as academic demands and resources, is necessary to mitigate attention difficulties in elementary school students.
Desain Pembangkit Listrik Tenaga Surya Off-Grid dan Monitoring Berbasis Node-Red

Authors:
raw_author_name: Mahendra Widyartono
raw_author_name: Widi Aribowo
raw_author_name: Ayusta Lukita Wardani

Abstract: In new renewable energy, the abundant potential of solar energy in Indonesia needs to be utilized effectively, especially in vocational canteens for the purposes of lights and fans. This research aims to design and build an off-grid solar power generation system and Node-Red-based monitoring at the Canteen. The research method used is experimentation through direct observation at the vocational canteen. The tests carried out are the system of SPGS which includes voltage, current, and power and testing monitoring by system sensors and temperature sensors for 5 hours per day in two days. The results obtained are the voltage in the system both panel voltage, AC voltage, and battery voltage are stable and do not exceed the specifications of solar panels. However, the current has increased and decreased although not too drastically and the battery has only decreased by 10%. This is due to the influence of the weather during testing and is not affected by the load power because it does not exceed specifications. In addition, the system sensor has an error of no more than 2% so it can be said that if this system functions optimally and as expected, it can be developed more to save energy.
Application of The Simplex Method and Digital Literacy in Profit Optimization Problems Taufik Tempe

Authors:
raw_author_name: Ida Fitriana Ambarsari
raw_affiliation_string: STKIP PGRI Situbondo
raw_author_name: Nur Hasanah
raw_affiliation_string: STKIP PGRI Situbondo

Abstract: Resource allocation in the production process are important things that need to be considered to achieve optimal production levels. Production optimization problems are still an obstacle for most businesses operating in the food sector. One of them is the “Taufik Tempe” business which produces tempeh in three different sizes, namely large, medium, and small. The business owner finds it difficult to determine the amount of production according to market demand and minimize production costs for maximum profits. This research aims to solve the profit optimization problem of “Taufik Tempe” with appropriate production allocation to achieve maximum profits. The method used is the method of data collection and data analysis. Data collection methods include field studies (observations and interviews) and literature review. Meanwhile, data analysis uses the simplex method and uses MATLAB software. Data analysis techniques using observation and interviews. Meanwhile, the research results show that the maximum profit per month obtained is Rp 750.000,00 by focusing on producing only large-sized tempeh. Furthermore, by using MATLAB software the same results are obtained as using the simplex method but with a simple, effective and efficient algorithm, ofcourse with precise results and the use of this software aims to avoid calculation errors.
Correction: Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users (Preprint)

Authors:
raw_author_name: Feng Han
raw_author_name: Hongjian Zhang
raw_author_name: Katsuhiko Ogasawara

Abstract: <sec> <title>UNSTRUCTURED</title> </sec>
Research on the Teaching Reform of Computer Network Courses under the OBE Concept

Authors:
raw_author_name: Xiaoqing Liu
raw_author_name: Yanxia Li

Abstract: Computer network is the core course of network engineering and related majors, which provides support for subsequent professional learning. In response to the pain points of traditional computer network teaching, such as the complexity of course theory and poor applicability, lack of incentive mechanisms for active learning, low self-efficacy of students in learning, and lack of process evaluation, this paper proposes a hybrid teaching approach based on the OBE education concept and a teaching model of “F-BOPPPS+M+N/”. The results of data comparison before and after the reform show that, The achievement level of this course has significantly improved in theoretical testing and experimental evaluation. This article introduces the reform path from the aspects of teaching objectives, teaching content, teaching resources, teaching methods, teaching modes, etc. Finally, the reform effect is introduced.
A Study on Island Tourism Sustainability: Assessing Tourist Perspectives Using Revised IPA

Authors:
raw_author_name: Zhijun Sun
raw_author_name: Ju Hyoung Han

Abstract: Purpose: Achieving a balance between development and conservation for sustainability in island tourism destinations necessitates a profound understanding of tourists' perspectives. This research aims to assess how tourists perceive the social, environmental, and economic sustainability aspects, often referred to as the Triple Bottom Line.&#x0D; Methods: Utilizing the Martilla &amp; James Importance-Performance Analysis (IPA), with Deng's modifications, this study focuses on Chinese domestic tourists with experience in Weizhou Island in China. Through convenience sampling, data were collected via online surveys from November 1 to November 7, 2023, resulting in 300 valid responses for final analysis.&#x0D; Results: The revised IPA technique revealed that, from the tourist's standpoint, effective management of tourism products and services, especially souvenir prices and transportation costs, at an appropriate level is crucial. Tourists emphasize the need for prioritized attention to achieve this. Furthermore, while tourists generally rate the economic value creation through dominant island tourism positively, concerns arise regarding excessive dependence on tourism in both industry and regional economies.&#x0D; Conclusion: This study highlights two key academic implications. Firstly, it emphasizes that although similar factors contribute to the pursuit of sustainability, tourists' evaluations may vary depending on specific attributes. Secondly, evaluating sustainability from the perspective of external stakeholders, such as tourists, holds significance.
Effectiveness and Significance Analysis of the Convergence-Based Music Education Program: Soundscape Design

Authors:
raw_author_name: Saerom Im

Abstract: This study examines the perceptual changes of learners after implementing the convergence-based music education program, Soundscape Design, which focuses on the integration of music and science. The study also investigates the effectiveness and significance of the program. The purpose of this program is to provide students with meaningful artistic experiences by consciously paying attention to sound as "artists of life," creating music pieces with intention, and reflecting on sound and music. The program is divided into two parts: Part 1, "Understanding Sound," based on M. Schafer's concept of Soundscapes, and Part 2, consisting of "Soundscape Design" and "Reflection" phases. The results of the reflection questions show that through the Soundscape Design activities, students underwent changes in their perception of sound and music. They gained the realization that an artist is not necessarily a great figure, but rather an ordinary person like themselves, capable of becoming an artist, dealing with struggles. Moreover, their perception changed regarding artworks, understanding that art requires considerable time and effort, holds intention and meaning, provides new perspectives, and encompasses everyday life. These changes suggest a potential shift in students' attitudes toward art.
Effects and Experiential Significance of Music Making Classes (or Lessons) on the Creative Competence of Pre-service Early Childhood Teachers

Authors:
raw_author_name: Jiyoung Yoon

Abstract: The purpose of this study is to validate the impact of music-making lessons on the creative competence of pre-service early childhood teachers and to investigate their musical experiences. For this purpose, a music- making activity was conducted with 19 students majoring in Early Childhood Education at a university in the G region, and data were collected and analyzed using a mixed methods research approach. The results of this study are as follows. First, the music-making lessons had a substantial impact on the creative competence of pre-service early childhood teachers. Second, the pre-service early childhood teachers' experiences in music-making were categorized as 'Facing Unfamiliarity,' 'Challenging and Communication,' and 'Growing Up.' These findings indicate that creative music experiences had a positive effect on the musical experiences of pre-service early childhood teachers, serving as foundational data for the academic curriculum of pre-service early childhood teachers.
AI-Powered Marketing: Transformative Techniques for Advertising Success

Authors:
raw_author_name: H Lakshmi
raw_affiliation_string: Associate Professor, Department of Management Studies, NITTE Meenakshi Institute of Technology, Bangalore

Abstract: This research paper explores the integration of Artificial Intelligence (AI) in marketing and advertising, examining its transformative impact on the industry. The paper explores the various applications of AI in marketing strategies, its potential benefits, and the evolving landscape of consumer engagement. Through an in-depth analysis of case studies and industry trends, we aim to provide insights into how AI technologies are reshaping the way businesses promote their products and services.
PENINGKATAN KOMPETENSI GURU PADA PEMBELAJARAN BERBASIS ICT Di SD IT Yaumi Fatimah Pati

Authors:
raw_author_name: None Adin Suryadin

Abstract: The presence of Information and Communication Technology (ICT) in learning is a challenge in itself for the world of education, in particular, learning technology today. Demands in responding to the globalization of education have appeared before our eyes. Various computer devices and their connections can deliver students to learn quickly and accurately if used correctly and appropriately. Therefore, it requires human resources who are responsive to ICT developments&#x0D; Learning will be more fun if the teacher is able to make ICT-based teaching materials that can increase student creativity. With the use of ICT-based teaching materials in learning, the learning process will be more interesting and can make students more contextual. If we observe carefully, until now teachers have not been able to develop ICT-based learning. In the learning process, the teacher still uses the old method, namely teacher-centered learning, so that students are less able to develop their creativity.&#x0D; This condition is also found in teachers at SD IT Yaumi Fatimah Pati. Where some teachers have not been able to carry out the ICT-based learning process, especially in compiling and making teaching materials, so that the learning process is only traditional, namely by lecturing, a little question and answer. Through community service activities, it will help teachers improve their competence in mastery of ICT which is useful in the learning process.
Metode multisensori untuk meningkatkan kemampuan membaca siswa kelas awal di SDN 1 Rubung Buyung

Authors:
raw_author_name: Muhammad azam muttaqin Muhammad azam muttaqin
raw_affiliation_string: Universitas Muhammadiyah Ponorogo
raw_author_name: None Muhammad Azam Muttaqin
raw_affiliation_string: universitas muhammadiyah ponorogo

Abstract: Indonesian subjects are very important subjects that are taught at all levels of education. It includes four skills that teachers must develop to their students. The four abilities are listening, speaking, reading, and writing. The ability to read is very important in this regard. The problem in the field is that students have low reading skills. On the basis of this problem, the study began. According to data collected from SDN 1 Rubung Buyung students, this study will use multisensory methods to improve their reading skills. This research uses the PAR research method, which is a type of research that involves the participation of community members in doing something or getting something desired.
A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph

Authors:
raw_author_name: Ali, Sarwan
raw_author_name: Moscato, Pablo

Abstract: We present a memetic algorithm (\maa) approach for finding a Hamiltonian cycle in a Hamiltonian graph. The \ma is based on a proven approach to the Asymmetric Travelling Salesman Problem (\atspp) that, in this contribution, is boosted by the introduction of more powerful local searches. Our approach also introduces a novel technique that sparsifies the input graph under consideration for Hamiltonicity and dynamically augments it during the search. Such a combined heuristic approach helps to prove Hamiltonicity by finding a Hamiltonian cycle in less time. In addition, we also employ a recently introduced polynomial-time reduction from the \hamcyc to the Symmetric \tsp, which is based on computing the transitive closure of the graph. Although our approach is a metaheuristic, i.e., it does not give a theoretical guarantee for finding a Hamiltonian cycle, we have observed that the method is successful in practice in verifying the Hamiltonicity of a larger number of instances from the \textit{Flinder University Hamiltonian Cycle Problem Challenge Set} (\fhcpsc), even for the graphs that have large treewidth. The experiments on the \fhcpscc instances and a computational comparison with five recent state-of-the-art baseline approaches show that the proposed method outperforms those for the majority of the instances in the \fhcpsc.
Enhancing Kubernetes Automated Scheduling with Deep Learning and  Reinforcement Techniques for Large-Scale Cloud Computing Optimization

Authors:
raw_author_name: Xu, Zheng
raw_author_name: Gong, Yulu
raw_author_name: Zhou, Yanlin
raw_author_name: Qian, Wenpin

Abstract: With the continuous expansion of the scale of cloud computing applications, artificial intelligence technologies such as Deep Learning and Reinforcement Learning have gradually become the key tools to solve the automated task scheduling of large-scale cloud computing systems. Aiming at the complexity and real-time requirement of task scheduling in large-scale cloud computing system, this paper proposes an automatic task scheduling scheme based on deep learning and reinforcement learning. Firstly, the deep learning technology is used to monitor and predict the parameters in the cloud computing system in real time to obtain the system status information. Then, combined with reinforcement learning algorithm, the task scheduling strategy is dynamically adjusted according to the real-time system state and task characteristics to achieve the optimal utilization of system resources and the maximum of task execution efficiency. This paper verifies the effectiveness and performance advantages of the proposed scheme in experiments, and proves the potential and application prospect of deep learning and reinforcement learning in automatic task scheduling in large-scale cloud computing systems.