UNY Journal Collections (Universitas Negeri Yogyakarta)
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Enforcement of spatial planning laws in controlling spatial use permits in Yogyakarta
No full textSpace is an area that includes land space, sea space and air space, including space within the earth as a unified territory, where humans and other creatures live, carry out activities and maintain their survival. Increasing population growth has an impact on the economic development of the people of an autonomous region who will undoubtedly utilize space that is considered strategic to support their economic activities. The complexity of development growth in Indonesia requires priority development programs and plans in various aspects or fields, but this development must not conflict with the fifth principle of Pancasila, namely social justice for all Indonesian. There is no consistency in implementing regulations, especially in enforcing laws related to spatial planning, which results in inappropriate development growth which impacts the surrounding environment, and green open space becoming increasingly narro
A psychometric evaluation of an item bank for an English readingcomprehension tool using Rasch analysis
No full textThis study reports the psychometric evaluation of an item bank for an Assessment for Learning (AfL) tool to assess primary school students’ reading comprehension skills. A pool of 46 primary 1 to 6 reading passages and their accompanying 522 multiple choice and short answer items were developed based on the Progress in International Reading Literacy Study (PIRLS) assessment framework. They were field-tested at 27 schools in Singapore involving 9834 students aged between 7 and 13. Four main com- prehension processes outlined in PIRLS were assessed: focusing on and retrieving ex- plicitly stated information, making straightforward inferences, interpreting and inte- grating ideas and information, and evaluating and critiquing content and textual ele- ments. Rasch analysis was employed to examine students’ item response patterns for (1) model and item fit; (2) differential item functioning (DIF) about gender and test platform used; (3) local item dependence (LID) within and amongst reading passages; and (4) distractor issues about options within the multiple-choice-type items. Results showed that the data adequately fit the unidimensional Rasch model across all test levels with good internal consistency. Psychometric issues found amongst items were primarily related to ill-functioning distractors and local dependence on items. Problem- atic items identified were reviewed and subsequently amended by a panel of assess- ment professionals for future recalibration. This psychometrically and theoretically sound item bank is envisaged to be valuable to developing comprehensive classroom AfL tools that provide information for the English reading comprehension instruc- tional design in the Singaporean context
What is the Image of Microscale Chemistry Research for Chemistry Teaching in 2013-2023?
No full textThis research aims to reveal the distribution of microscale chemistry research related to publication output, document sources, microscale chemistry publishing countries; countries of correspondent authors on microscale chemistry; number of annual distribution of publication affiliations of microscale chemistry; distribution of microscale chemistry publication sources; the most relevant author in microscale chemistry publications; visualization of microscale chemistry research topics and trends. The method used is a bibliometric study sourced from the scopus.com database. Data were collected through searching publications with the keyword microscale and chemistry in the title, abstract, or keywords determined by the author, limited to the last 10 years (2013-2023), and managed and analyzed using Software R with Biblioshiny. The results show that there is a 10-year limitation, 196 publications were obtained. The top country to publish it is the USA. The country with the most correspondent authors of a single type is the USA. The distribution analysis result shows the research topic produces data on 1000 items with 19 clusters, with the most frequently used keywords being microscale lab , chemistry , and green chemistry . The existence of microscale chemistry can make chemistry practicum activities easier, providing an alternative to chemistry practicum for those who are hampered by laboratory problems
An Analysis of Physics Learning Motivation Using a Case Study-Based Learning Motivation Assessment Instrument
No full textLearning motivation is important to support successful learning. This article discusses the analysis of high school learning motivation and the development of a learning motivation assessment instrument. This is due to the lack of instrument development based on case studies. It used a case study-based instrument developed with the 4D model. The study results show that the developed learning motivation assessment instrument is valid and reliable. Through this instrument, students\u27 motivation to learn physics can be classified into low, medium, and high. Through analysis, the treatment of each group can be seen so that learning motivation can increase. At the low level, it can be increased by varying learning models, learning resources, and learning media. While for the second level, namely the average, it needs to be increased again by building more intense communication with students. For the highest level, it can be in the form of learning with more interesting learning resources and physics assignments
Increasing measurement accuracy: Scaling effect on academic resilience instrument using Method of Successive Interval (MSI) and Method of Summated Rating Scale (MSRS)
No full textA research instrument is crucial and must meet the requirements to be valid and reliable in content and construction. Not infrequently, various methods are tried to increase the accuracy of research instruments, one of them being a simple method such as the scaling technique. This research aims to improve measurement accuracy by using scaling techniques through the process of successive intervals and summated rating scale in confirmatory factor analysis of the Academic Resilience (ARS) instrument. This research is a descriptive exploratory study using a questionnaire consisting of five answer choices (5-point Likert scale) as the research instrument. Participants in this research were 300 students. Data analysis was conducted using Microsoft Excel and R programs. The research results showed that there was a significant difference in the results of the reliability and validity of the constructs as well as the parameters in the confirmatory factor analysis of the ARS instrument before and after transformation with the method of successive intervals and summated rating scale. This research contributes to implementing quantitative data scaling practices in measurement research, and it has been proven that there was an increase in measurement accuracy after scaling
Optimizing Open Data Jawa Tengah through Technology Acceptance Model (TAM)
No full textThe Central Java Provincial Government has implemented the “Open Data Jateng” system since 2019 for public services. Open Data is part of the application of big data, and the system does not yet have evidence to meet data needs. So, an explanatory method of research was conducted using a prediction study. The research variables are based on the development of the Technology Acceptance Model (TAM) theory and the 3Q model theory. 130 respondents from the exKaresidenan of Semarang City filled out 21 statements, then tested through Partial Least Square - Structural Equation Modeling (PLSSEM). The result is that there is the highest relationship in the TAM variable, namely: the influence of the perceived usefulness variable on the behavioral intention to use variable is 42.5%, with the predictive power of increasing the two variables to 75.2% if there is treatment/policy. The relationship between TAM variables and the 3Q model was found, such as the effect between the information quality variable and perceived usefulness was 13.3%, which has a low level of influence. Although low, the predictive power is also high at 65.4% if there is a treatment or policy that supports the information quality variable. The study concluded that the optimization of Open Data Jateng can be through policy support in order to improve the quality of information.
Can Web-Based AI Be Implemented in the Middle School Science Classroom? A Critical Review
No full textThis literature review examines the effect of artificial intelligence (AI) on science education, particularly in middle schools, and addresses both its limitations and future directions. This review critically assesses the potential implications of AI on science learning in middle school. It does so by examining 17 Scopus-indexed studies. The review reveals significant positive outcomes regarding how web-based AI-powered education affects students\u27 learning outcomes, technological skills, and better decision-making. Despite these promising results, this article recognizes the possible dangers and difficulties associated with implementing AI in the classroom, such as limited access to technology in the region, reliance on AI, and ethical considerations when using AI-generated content. Solutions such as expanding technological knowledge and encouraging critical thinking are proposed to address these issues, anticipating the danger of bias and ethics toward AI. The conclusion of this review indicates that AI implementation in science learning has significant potential benefits despite limitations and challenges. In addition, this review also guides students, educators, and AI developers on optimizing AI\u27s educational benefits
Digital Literacy Landscape of Novice Voters in the 2024 Election in Indonesia
No full textElections are one of the times when Indonesian democracy runs because the people themselves will choose a pair of president and vice president candidates along with the existing legislature. Voters need to have enough information about the candidates in order to choose the best among them, especially novice voters. Novice voters need to have good digital literacy in facing the upcoming 2024 elections. The 2024 election itself is mostly from young people who are novice voters. The purpose of this study is to determine the digital literacy readiness of novice voters in 2024 elections. In addition, it will also be known what factors influence this readiness and the impact of the readiness of novice voters on their participation in the election later. This study uses a quantitative approach with descriptive methods. Data collection was carried out using questionnaires as primary data and literature studies as secondary data. The results and conclusions obtained in this study are that the majority of novice voters use social media as an information platform about the 2024 elections with varying levels of trust in the information. Most of the respondents chose not to share the information obtained related to the verification of uncertain news
Technology Integration in Learning: Understanding of Life Value by Students in MARS Film
No full textThe integration of technology in learning through film can increase students understanding of life values, which will be important for an educator. This paper aims to describe the understanding of life value by students in the MARS Film. It is quantitative research with an open survey method. Researchers distributed questionnaires to 93 students and used descriptive analysis. The results showed the value of life that the students can find in the film are hard work and fighting spirit. As parents, the value of life that can be learned is to support dreams by providing the best education and motivation. It also found that moral values can be learned is persistence and respect. This Film is recommended for learning because it can inspire and motivate the importance of education
The influence of Teaching Factory (TEFA) implementation and work readiness on vocational high school students\u27 future job perspectives
No full textGraduates who are superior, competitive, and ready to work are the goals of vocational education. The purpose of this research is to determine the impact of Teaching Factory (TEFA) implementation with the Context, Input, Process, and Product (CIPP) evaluation model and student work readiness on the Occupational Future Time Perspective (OFTP). Indeed, nowadays, professional/vocational graduates must be ready to enter the industrial world after graduation. This research involved 456 respondents of Vocational High School (VHS) students in South Sulawesi, Indonesia, who were determined using a proportional random sampling technique. This type of research is descriptive quantitative with data analysis using SEM AMOS. The results showed that there was a significant influence between the implementation of TEFA and the level of work readiness up to 57%, while the actual contribution of teaching and work readiness factors to future employment time was 80.7%. Overall, the results show that the implementation of TEFA has successfully helped students become more independent and ready to face the competitive world of work. Although 19.3 factors still influence work readiness and prospects, the research results do not change much. Therefore, the application of a teaching factory in the learning process is highly recommended for teachers and students in vocational schools. The implementation can be adjusted to the learning conditions and resources available in VHS. This research contributes as a source of reference in future studies related to improving practical learning and developing students\u27 entrepreneurial skills