Data Source For Research Research Articles

Design of Virtual Reality Exergames for Upper Limb Stroke Rehabilitation Following Iterative Design Methods: Usability Study.

Since the early 2000s, there has been a growing interest in using exercise video games (exergames) and virtual reality (VR)-based interventions as innovative methods to enhance physical rehabilitation for individuals with multiple disabilities. Over the past decade, researchers and exercise professionals have focused on developing specialized immersive exercise video games for various populations, including those who have experienced a stroke, revealing tangible benefits for upper limb rehabilitation. However, it is necessary to develop highly engaging, personalized games that can facilitate the creation of experiences aligned with the preferences, motivations, and challenges communicated by people who have had an episode of stroke. This study seeks to explore the customization potential of an exergame for individuals who have undergone a stroke, concurrently evaluating its usability as a technological tool in the realm of physical therapy and rehabilitation. We introduce a playtest methodology to enhance the design of a VR exergame developed using a user-centered approach for upper limb rehabilitation in stroke survivors. Over 4 playtesting sessions, stroke survivors interacted with initial game versions using VR headsets, providing essential feedback for refining game content and mechanics. Additionally, a pilot study involving 10 stroke survivors collected data through VR-related questionnaires to assess game design aspects such as mechanics, assistance, experience, motion sickness, and immersion. The playtest methodology was beneficial for improving the exergame to align with user needs, consistently incorporating their perspectives and achieving noteworthy results. The pilot study revealed that users had a positive response. In the first scenario, a carpenter presents a game based on the flexion-extension movement of the elbow; the second scenario includes a tejo game (a traditional Colombian throwing game) designed around game mechanics related to the flexion-extension movement of the shoulder; and in the third scenario, a farmer challenges the player to perform a movement combining elbow flexion and extension with internal and external rotation of the shoulder. These findings suggest the potential of the studied exergame as a tool for the upper limb rehabilitation of individuals who have experienced a stroke. The inclusion of exergames in rehabilitation for stroke-induced hemiparesis has significantly benefited the recovery process by focusing on essential shoulder and elbow movements. These interactive games play a crucial role in helping users regain mobility and restore practical use of affected limbs. They also serve as valuable data sources for researchers, improving the system's responsiveness. This iterative approach enhances game design and markedly boosts user satisfaction, suggesting exergames have promising potential as adjunctive elements in traditional therapeutic approaches.

Transfer of Personal Data by E-Commerce Companies: A Study From The Perspective of Indonesian Personal Data Protection Laws

In the era of globalization, the protection of personal data has become a critical issue in Indonesia, especially within the e-commerce sector. Cases of this nature underscore the significance of safeguarding personal data and enforcing stringent legal measures. This research employs a normative juridical legal study that integrates two primary approaches: the legislative approach and the comparative approach. The research data sources comprise primary, secondary, and tertiary legal materials obtained through a comprehensive literature review. The data analysis process is conducted using a descriptive method and applying deductive logic. The growth of e-commerce users in Indonesia has witnessed a significant increase. Law Number 27 of 2022 regulates the principles of personal data protection, encompassing the rights of data owners, transparency, and meticulous data management. While considered positive, a comparison with Malaysian regulations, such as the Personal Data Protection Act 2010, reveals fundamental differences that warrant attention. The implications of the regulation on the transfer of personal data in Law Number 27 of 2022 play a crucial role for e-commerce companies. They must ensure the security of consumers' personal data and adhere to legal principles to maintain consumer trust in an increasingly competitive market.

Analisis Penerapan Media Pembelajaran Inovatif IPA Di SD

The purpose of this study was to explain the application of learning media and the impact of the application of innovative learning media in science lessons in grade VI SD. This type of research is descriptive qualitative. Data collection techniques used interviews, observation, and documentation. Data analysis techniques are carried out by reducing data, presenting data, and drawing conclusions. The research subjects or data sources were class teachers and students of grade VI of SD Negeri 10 Kalideres. The results showed that the application of innovative learning media called Borama had a good impact. The conclusion of this study shows that the application of innovative learning media in science subjects, students become more understanding, not bored in learning activities and improve learning outcomes.

Survey: Rainfall Prediction Precipitation, Review of Statistical Methods

Rainfall precipitation prediction is the process of using various models and data sources to predict the amount and timing of precipitation, such as rain or snow, in a particular location. This is an important process because it can help us prepare for severe weather events, such as floods, droughts, and hurricanes, as well as plan our daily activities. Processing rainfall data typically involves several steps, which may vary depending on the specific data set and research question. Here is a general overview of the steps involved: (1) Collecting data: Rainfall data can be collected using various methods, including rain gauges, radar, and satellite imagery. The data can be obtained from public sources, such as government agencies or research institutions. (2) Quality control: Before using the data, it's important to check for errors or inconsistencies. This may involve identifying missing or incomplete data, outliers, or inconsistencies in measurement units. Quality control can be performed manually or using automated software. (3) Pre-processing: Once the data has been quality controlled, it may need to be pre-processed for analysis. This may involve aggregating the data to a specific temporal or spatial resolution, such as daily, monthly, or annual averages, or converting the data to a specific format. (4) Analysis: The processed data can be used for various types of analysis, such as trend analysis, frequency analysis, or spatial analysis. These analyses can help to identify patterns, changes, or relationships in the data. (5) Visualization: Finally, the results of the analysis can be visualized using graphs, maps, or other types of visualizations to help communicate the findings. Overall, processing rainfall data requires careful attention to detail and a clear understanding of the research question and data sources.

Kekerasan Terhadap Perempuan dan Nilai Pendidikan Karakter Dalam Novel Bak Rambut Dibelah Tujuh Karya Muh. Makhdlori Serta Relevansinya Dengan Pembelajaran Bahasa Indonesia

This research aims to describe forms of violence against women in novels, the value of character education in novels, and its relevance to Indonesian language learning in high school. This research uses a qualitative descriptive method with a feminist approach through Mansoer Fakih's feminist theory. The source of research data is the novel Bak Rambut Dibelah Tujuh by Muhammad Makhdlori and informants. Data collection techniques using document analysis and informant interviews. Data validity techniques with data using data triangulation. Data analysis techniques using interactive analysis models. Based on the results of the analysis, it is known that violence against women is dominated by emotional violence. Found the value of character education in the novel. Religious character values and social care are the dominant values that appear in the novel.

THE IMPLEMENTATION OF CHARACTER EDUCATION TO SHAPE THE STUDENTS' LEARNING MOTIVATION TO LEARN ENGLISH

Implementing character education in elementary schools has become mandatory. Because apart from the rules, it is also the obligation of educational institutions to educate their students. This article aims to explore how character education can be implemented effectively in the context of forming students' learning motivation in English lessons. English is a foreign language that has a central role in the world of education. In line with current curriculum demands, English language learning in schools is expected to not only focus on increasing students' communication competence in English, but also have a positive impact in instilling and shaping students' character and fostering motivation in learning. The research method used is field research, qualitative approach, primary and secondary data sources, data collection techniques using observation, interviews, documentation, data analysis techniques include data reduction, data presentation, and conclusion drawing (verification). The research results obtained at SD Negeri 231 Palembang as an implementation of character education include: students are more enthusiastic and enthusiastic when learning English. In its implementation there are inhibiting factors including limited time and inadequate facilities

Autism Spectrum Disorder Prediction in Children Using Machine Learning

Life symptoms associated with autism spectrum disorder (ASD) typically manifest during childhood and persist into adolescence and adulthood. ASD, which can be caused by genetic or environmental factors, can be significantly improved through early detection and treatment. Currently, standardized clinical tests are the primary diagnostic method for ASD. However, these tests are time consuming and expensive. Early detection and intervention are pivotal in enhancing the long-term prospects of children diagnosed with ASD. Machine-learning (ML) techniques are being utilized alongside conventional methods to improve the accuracy and efficiency of ASD diagnosis. Therefore, the paper aims to explore the feasibility of employing support vector machines, random forest classifier, naïve Bayes, logistic regression (LR), K-nearest neighbor, and decision tree classification models on our dataset to construct predictive models for predicting and analyzing ASD problems across different age groups: children, adolescents, and adults. The proposed techniques are assessed using publicly available nonclinical ASD datasets of three distinct datasets. The four ASD datasets, namely toddlers, adolescents, children, and adults, were obtained from publicly available repositories, specifically Kaggle and UCI ML. These repositories provide a valuable data source for research and analysis related to ASD. Our main objective is to identify the susceptibility to ASD in children during the early stages, thereby streamlining the diagnosis process. Based on our findings, LR demonstrated the highest accuracy for the selected dataset.

Implementasi kurikulum merdeka di SMK Negeri 1 Karanganyar (studi kasus pada guru produktif)

<p><em>This study aims to determine (1) the Implementation of Kurikulum Merdeka in SMK Negeri 1 Karanganyar, and (2) the Obstacles and solutions experienced by productive teachers in SMK Negeri 1 Karanganyar. This research uses a qualitative method with a case study approach. Research data sources are obtained from informants, documents, and observations. The sampling technique uses purposive sampling and snowball sampling. Data collection techniques with interviews, observation, and document analysis. Data validity using triangulation of sources and techniques. The data analysis technique uses an interactive model. The results showed that: (1) Implementation of Kurikulum Merdeka is carried out in two stages, that is, (a) Planning includes the design of KOSP, design of ATP, planning of learning and assessment, use and development of teaching materials, planning of P5, (b) Implementation of learning includes implementation of P5, application of student-centered learning, integration of assessment in learning, learning according to the learning stages of students, collaboration between teachers for curriculum and learning purposes, collaboration with parents/families in learning, collaboration with the society/community/industry, reflection, evaluation, and improvement the quality of curriculum implementation. (2) The obstacles are: (a) Teachers have difficulty translating the Kurikulum Merdeka learning process, (b) Limitations of teaching tools used by teachers. The solutions are: (a) Attend education and training related to Kurikulum Merdeka, (b) Schools provide teaching tools supporting implementation.</em></p>

Strategi dalam Meningkatkan Sumber Daya Manusia (Santri) di Organisasi Pesantren

Increasing human resources is to answer the challenges of human life in order to realize better change. This change is a process of social, economic and psychological factors that open up opportunities for new patterns to occur through socialization and behavioral patterns. Its manifestations are patterns in human life where humans experience periods of transition. This research aims to find out what strategies kiayai use to improve human resources. The research method used is library research (library research) where the research process is carried out by collecting various literature that collects information and knowledge related to the topic discussed in this research paper. The documents used as research data sources use several scientific literature in the form of books, journals and supporting websites. In its preparation, the author used descriptive analysis. The results of the research in this article are that there are 2 roles of santri, namely the role of santri in the era of disruption and the role of santri in the millennial era. Meanwhile, the strategies used to improve human resource management can be through 4 methods used to improve the quality of human resources including training methods, understudies, job rotation and progress planning, and counseling.

PENGARUH JUMLAH KREDIT DAN PEMINJAM TERHADAP STABILITAS SISTEM KEUANGAN PADA FINTECH PEER TO PEER LENDING TAHUN 2019 SAMPAI 2022

This study aims to determine the effect of credit and the number of borrowers in Fintech P2PL services on financial system stability from 2019 to 2022. The source of research data comes from secondary data, which comes from fintech statistics found on the Financial Services Authority (OJK) website. The research uses a quantitative approach with time series data analysis using Ordinary Least Square (OLS). The results of the study show that Fintech credit has a positive but not significant effect on financial system stability. The number of borrowers in P2PL fintech services as a form of financial inclusion has a negative and significant impact on financial system stability. This study has the implication that short-term credit provided by fintech does not affect financial system stability, while the number of borrowers in P2PL fintech services causes a decrease in financial system stability so that increased financial inclusion must be accompanied by strong risk mitigation to maintain financial system stability.

Lighting in the Performance "Kapai-Kapai" by Arifin C Noer

This article focuses on lighting using GrandMA2 equipment, the work steps of a lighting designer, and the simulation of lighting arrangement work in the performance "Kapai-Kapai" by Arifin C Noer. This study aims to make lighting designs in theater performances with the script "Kapai-Kapai" by Arifin C Noer. This research is a type of action research that uses a qualitative approach, with library research methods to collect information, theories, and concepts related to lighting in the performing arts, especially theater. Research data sources include books related to performing arts, journal articles, and documents related to the performance "Kapai-Kapai." Meanwhile, data collection was obtained from observation and interviews. Data analysis is carried out qualitatively. Observational and interview data were analyzed to identify patterns, trends, and findings related to the application of lighting in the performance of "Kapai-Kapai." Modern equipment such as color-adjustable LED lights, special effects with projection, and automatic control allow performances to become even more dynamic and creative. Some lighting designers use computer simulations to plan light effects before the show begins. This allows them to test various scenarios and ensure that the lighting matches the artistic vision.

INTEGRATED MARKETING COMMUNICATION OF ECOTOURISM AND TURTLE CONSERVATION IN THE BANGGAI DISTRICT

This study aims to determine the integrated marketing communication of ecotourism and turtle conservation in Banggai Regency. This research was conducted in Sinorang Village, South Batui District, Banggai Regency. The research time was from March to August 2023. The method used in this research is using a qualitative research method with a descriptive approach. Research data were obtained through observation, interviews, and documentation. Types and sources of research data using primary data and secondary data. The results of this study indicate that integrated marketing communication of ecotourism and turtle conservation in Banggai Regency, which consists of: video advertising, print and electronic media advertising, social media advertising and advertorial advertising. Direct marketing conveys information by word of mouth or the term word of mouth marketing, which is delivered face-to-face. Sales promotion using brand ambassadors from Luwuk. Personal selling using Facebook social media which is carried out personally by the community, business actors and village government. And sales promotion with the presence of digital marketing and social media using the AISAS model (attention, interest, search, action, share). Interactive marketing, marketing through social media (facebook, instagram, youtube) and electronic word of mouth (E-Wom). Community relations through the turtle ecotourism soft opening event program held on April 21-26, 2023. Green marketing, through green marketing with environmentally friendly conditions so that the focus of nature and environmental conservation continues to run optimally. And experience marketing, through this marketing experience is a way to advertise to tourists based on the extraordinary and unique experiences they experience, tell and share with others.

The Teacher Professional Education Program: Budget Management, Academic Services, And Learning Outcomes

Budget management, academic services, and implementation of teacher professional education are important points in teacher education and training activities. The purpose of this study was to determine budget management in terms of the level of ease of managing the teacher professional education (TPEP/PPG) budget, academic services with indicators of reliability, responsiveness, assurance and empathy, and learning outcomes. A qualitative approach is used in this research method. Sources of research data were obtained from 12 PPG managers and 10 academic staff at four higher education institutions of the Ministry of Religion in Indonesia. Questionnaires and in-depth interviews were used to collect data. The study's findings show that budget management originating from state and regional government budgets does not pose many challenges because technical guidelines for budget use are already in place, and their implementation is monitored and evaluated by the ministries of technology, research, and higher education, as well as religion. Academic services are well-implemented, and learning outcomes are favorable, with a graduation rate of 80%.

Legacy of Colonialism and Indigenous Religious Resilience: A Study of Marapu Belief in East Nusa Tenggara

<p class="Abstract"><span lang="EN-GB">Indigenous
 religions encompass spiritual customs originating from the ancestral heritage
 of specific ethnic and geographical groups. These traditional beliefs often
 come into conflict with state-recognised official religions, a consequence of
 modernity's tendency to streamline religion into a mere belief system. In line
 with this, the post-colonial view sees that indigenous religions which are
 repressed by the state are the result of the state's view of showing Western
 superiority. Indonesia bears the enduring legacy of colonialism, manifesting as
 negative perceptions that persistently affect to indigenous religions. One of
 the colonial legacies is sociological, psychological, and moral problems,
 besides physics and material heritance. According to Syeid Hussen Alatas in the
 Myth of Lazy Natives (1989), this is the greatest damage caused by colonialism
 because this problem hinders solutions to other problems. Indonesia, as a
 geographical region, has many indigenous religions, one of which is the Marapu
 belief in Sumba, East Nusa Tenggara. Many adherents of the Marapu faith are
 forced to embrace one religion for the purposes of population administration,
 but at the same time continue to practice their beliefs. This article aims to
 unravel how Marapu followers uphold their ritual practices within the confines
 of their traditional religion and how the enduring colonial legacy shaped local
 religious observances. This study uses a qualitative descriptive method by
 focusing on a literature review with research data sources from journals and
 documentary videos. The research finding of this enquiry is the exploration of
 the intersection between religion and society and how post-colonial
 perspectives have seen this phenomenon. <o:p></o:p></span></p>

Development Status, Comparison and Inspiration of Integrated Circuit Virtual Simulation Teaching at Home and Abroad

Abstract The cultivation of higher vocational integrated circuit technology professionals requires a complete practical training teaching system and practical training conditions, especially integrated circuit layout design, production process, packaging and testing and other process personnel training needs to be completed in a real work scenario, the virtual simulation training is just for the integrated circuit professional education and teaching to provide support. This paper takes CNKI, SCI and EI databases as the research data source. It uses word frequency analysis and co-word analysis in statistical analysis to quantitatively analyze the development status of virtual simulation teaching of integrated circuits at home and abroad. And combined with the clustering analysis algorithm to explore the integration results of the keywords of integrated circuit virtual simulation teaching at home and overseas, and give the path to improve the high-quality development of integrated circuit virtual simulation teaching. It has been found that the domestic research related to IC virtual simulation teaching has improved by 80 times during 2000–2022, but the foreign research is 1.642 times higher than the domestic one. In addition, domestic and foreign countries are mainly focused on virtual simulation and innovative practice, respectively, and their word frequencies have reached 465 and 596 times respectively. Higher vocational colleges and universities need to optimize the teaching mode of industry-teaching integration, use virtual simulation technology to help students understand the knowledge related to integrated circuits, and provide technical support for improving the quality of talent training.

Ukuran Perusahaan dan Kinerja Keuangan: Faktor Penting dalam Memprediksi Nilai Perusahaan

The value of a company is a crucial variable considered by investors in making investment decisions. Company value can be predicted using various factors, one of which is company size and financial performance. This research aims to examine the influence of company size and financial performance on company value. The study utilizes empirical data from LQ45-listed companies on the Indonesia Stock Exchange (IDX) during the period 2018-2022. Secondary data from 16 LQ45 companies, comprising 80 financial reports, are employed as the research data source. Panel data regression analysis is used for research analysis. The research results indicate that company size and financial performance have a positive influence on company value. Company size positively affects company value because larger-sized companies tend to have higher competitive advantages. Financial performance positively influences company value because companies with strong financial performance tend to have the potential to generate greater profits for shareholders.

Analisis pemanfaatan fitur Track Changes pada MS.Word untuk mengetahui originalitas karya Mahasiswa

Analysis on the benefits of technology has a good impact if users understand the benefits or usefulness of a feature. in learning is a complete element that underlies the usefulness in providing techniques, especially in a scientific work. One of the most commonly used word processing programmes is Microsoft Word, which has a "track changes" feature that allows users to track changes made to documents. The track changes feature is needed in educational institutions that require students to submit written work in digital form so that the use of this feature is very effective. The purpose of this study is to determine the use and results of the analysis of the Track Changes Feature in Ms. Word so as to determine the Originality of Student Work. This type of research uses qualitative research with a descriptive approach, the main data sources in qualitative research are words and actions. (2-tailed) 0.00 <0.05, it can be concluded that there is a significant difference between students who have been given the Track Changes Feature in Ms. Word to Know the Originality of Student Work. This research concludes that the Track Changes feature has a good and useful impact in making student assignments, so it needs to be analyzed further so that it can be disseminated to courses or to all course lecturers at STKIP PGRI Situbondo.

The Wisdom of Electronic Employee Crowds -Employee Reviews as a Data Source in Finance, Accounting, Economics and Management Research: Systematic Literature Review

The Wisdom of Electronic Employee Crowds -Employee Reviews as a Data Source in Finance, Accounting, Economics and Management Research: Systematic Literature Review

Guide for the application of the data augmentation approach on sets of texts in Spanish for sentiment and emotion analysis.

Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. To analyze this data and classify emotions and their polarity in texts, natural language processing (NLP) techniques such as emotion analysis (EA) and sentiment analysis (SA) are employed. However, the effectiveness of these tasks using machine learning (ML) and deep learning (DL) methods depends on large labeled datasets, which are scarce in languages like Spanish. To address this challenge, researchers use data augmentation (DA) techniques to artificially expand small datasets. This study aims to investigate whether DA techniques can improve classification results using ML and DL algorithms for sentiment and emotion analysis of Spanish texts. Various text manipulation techniques were applied, including transformations, paraphrasing (back-translation), and text generation using generative adversarial networks, to small datasets such as song lyrics, social media comments, headlines from national newspapers in Chile, and survey responses from higher education students. The findings show that the Convolutional Neural Network (CNN) classifier achieved the most significant improvement, with an 18% increase using the Generative Adversarial Networks for Sentiment Text (SentiGan) on the Aggressiveness (Seriousness) dataset. Additionally, the same classifier model showed an 11% improvement using the Easy Data Augmentation (EDA) on the Gender-Based Violence dataset. The performance of the Bidirectional Encoder Representations from Transformers (BETO) also improved by 10% on the back-translation augmented version of the October 18 dataset, and by 4% on the EDA augmented version of the Teaching survey dataset. These results suggest that data augmentation techniques enhance performance by transforming text and adapting it to the specific characteristics of the dataset. Through experimentation with various augmentation techniques, this research provides valuable insights into the analysis of subjectivity in Spanish texts and offers guidance for selecting algorithms and techniques based on dataset features.

Registration of Amyotrophic Lateral Sclerosis: Validity in the Danish National Patient Registry.

Health care databases are a valuable source for epidemiological research on amyotrophic lateral sclerosis (ALS) if diagnosis codes are valid. We evaluated the validity of the diagnostic codes for ALS in the Danish National Patient Registry (DNPR). We obtained data from the DNPR for all adult (>17 years) patients registered with ALS in Denmark between 1987 and 2022 (median population of 4.2 million during the study period). We randomly selected adult patients living in the North Denmark Region and Central Denmark Region (median population 1.4 million), with a primary discharge diagnosis code of ALS, diagnosed at three departments of neurology. We retrieved and reviewed medical records and estimated the positive predictive value (PPV) of the ALS diagnosis. Over 36 years, we identified 5679 patients. From the validation cohort of 300 patients, we were able to retrieve 240 (80%) medical records, and 215 ALS diagnoses were confirmed. The overall positive predictive value was 89.6% (95% confidence interval (CI): 85.1-92.8). The highest PPV was achieved for diagnoses registered for patients aged ≥70 years (93.8; 95% CI: 86.2-97.3) compared to patients <60 years (83.4; 95% CI: 73.3-90.7). We found a high PPV of primary diagnostic codes for ALS from Danish departments of neurology, demonstrating high validity. Thus, the DNPR is a well-suited data source for large-scale epidemiological research on ALS.