High-level Categories Research Articles

Analysis of Elementary School Students' Mathematical Anxiety Levels

The aim of this research is to measure students' anxiety levels regarding mathematics learning at the elementary school level in the city of Banda Aceh. This research uses a quantitative approach with a survey research type. This research was conducted on all elementary school students in the city of Banda Aceh with a sample of 90 students. The sampling technique used in this research was cluster random sampling. This research data uses a questionnaire. The data obtained is quantitative data which is then analyzed using descriptive analysis techniques. The results of this study show that the level of mathematics anxiety in elementary school students has an average score of 62.58%. The students' highest mathematics anxiety score was 92.18%, which means they fall into the very high anxiety level category. The lowest score achieved for students' mathematics anxiety was in the high category, because the score obtained was 53.12%. Based on the results of this research, we can conclude that the level of mathematics anxiety that occurs in elementary school students in the city of Banda Aceh is in the high level of mathematics anxiety category.

청년과의 여가 격차에 대한 시니어의 인식과 경험

As South Korea is predicted to become a super-aging society in 2025, utilizing leisure time for many older adults is becoming an even more important issue. According to the Korean National Leisure Activities Survey, older adults have more leisure time than younger adults, but their satisfaction with leisure activities is lower, and the generation gaps in leisure activity diversity, leisure consumption, and leisure awareness are widening. Not only policymakers and researchers but also seniors themselves must recognize and proactively address the problem of the leisure gaps so that more effective and practical solutions can be devised. Therefore, the purpose of this study is to explore older adults' perceptions and experiences of the leisure gaps with younger adults. By adopting the photovoice research method, which is a participatory research method, this study sought to understand the problem of the leisure gaps faced by the senior generation through their own voices. From eight seniors in their 60s or older, statement data were collected through photographs taken by the research participants themselves, focus group interviews (FGI), and individual in-depth interviews. Data analysis revealed a total of six high-level thematic categories, or leisure gaps, as follows: the gaps in trying new activities, consumption perception, leisure perception, relationship perception, care conditions, and adaptability. From the results, the leisure reality faced by older adults was derived, and solutions to the leisure gaps were organized into the following six categories: developing inexpensive and diverse leisure programs, expanding access to leisure information, supporting the formation of leisure communities, developing and supporting leisure education programs, supporting leisure for family caregivers, and operating detailed multi-level programs. By applying the photovoice method, this study enabled a deeper understanding of the experiences of the leisure gaps as perceived by older adults, captured various perspectives of theirs, and demonstrated that seniors were able to consider and contemplate the issue of the leisure gaps on their own and derive improvement measures.

Cost Efficiency of Retrofitting Green Chemical Industrial Buildings

Climate change is a threat and crisis that hit the world today. The green industry is widely implemented in the manufacturing sector as an effort to reduce negative impacts on the environment. The implementation of the green industry is influenced by various factors. The Chemical Industry is one sector that faces challenges in implementing green industry practices. The objective of this paper is to create an innovative conceptual framework that combines blockchain technology and building information modeling. This research examines the concept of green retrofitting in the chemical industry using an assessment based on the Ministry of Public Works and Housing Regulation No. 21 of 2021. The study was conducted in a chemical industry located in Cilegon, Banten, Indonesia. The research method combines Blockchain-Building Information Modeling (BIM) to analyze the cost efficiency of green retrofitting and Structural Equation Modeling-Partial Least Squares (SEM-PLS) as a tool to process data from questionnaires and identify influential factors. The results indicate that the use of Blockchain-BIM can reduce retrofitting costs by 4.42% for low-level, 4.45% for medium-level, and 4.40% for high-level categories. This demonstrates that Blockchain-BIM has a significant impact on improving cost performance in the retrofitting process. Doi: 10.28991/CEJ-2024-010-03-04 Full Text: PDF

Integrating a Categorial Structure for Clinical Practice into EHRs.

A continuing global desire to be using clinical systems within a digital health ecosystem, able to facilitate data flows and information exchange as required to support person-centred, predictive, preventative, participatory and precision (5p) health and medical care can best be supported through the use of the standard categorial structure able to represent not only the clinical nursing practice domain but also other clinical disciplines by the generic labelling of some high-level categories. It is hypothesised that adoption of this generic clinical categorial structure within any electronic health/medical record within a well connected digital health ecosystem, supported by a cloud based openEHR platform, will enable the 5p support to be realized. This presentation provides the results of the latest update of this technical standard based on the 20+ year nursing practice categorial structure development process adopted to achieve this aim and a summary about linking this categorial structure to standard terminologies and to standard EHR/EMR system architectures.

Knowledge level of pomegranate growers about recommended pomegranate production technologies of UAS Dharwad

The present study was conducted with specific objective to study the knowledge level of pomegranate growers about recommended pomegranate production technologies in Vijayapura and Bagalkot districts of Karnataka, respectively. Total of 8 villages were selected for the study and 15 pomegranate growing farmers from each village were randomly selected to constitute a total sample of 120 farmers. It was noticed that almost two fifth (39.17 %) of the pomegranate farmers belonged to medium knowledge level category, 32.50 per cent of them belonged to low knowledge level category and 28.33 per cent of them belonged to high knowledge level category, respectively. Cent per cent of the pomegranate growers had knowledge about the varieties, planting material, spacing, time of planting, frequency of pruning and mode of irrigation. Large majority of them had knowledge about chemicals to control pests (90.00%), size of the pit (85.00 %), chemicals to control diseases (80.00 %) and diseases of pomegranate (78.33 %). Majority of them had knowledge about the type of soil (71.67%), frequency of fertilizer application (66.67%) and pests of pomegranate (60.00 %). More than half (59.17 %) of them had knowledge about the frequency of irrigation and Bahar treatment (55.83 %). About 45.83 per cent of them had knowledge about the pit filling process with FYM, 43.33 per cent of them had knowledge about the growth regulators used, 41.67 per cent of them had knowledge about the proportion of NPK application per tree and 39.17 per cent of them had knowledge about the rest period given during Bahar treatment. Equal percentage of them (33.33 %) had knowledge about types of Bahar treatments and average yield per tree. About 30.83 per cent of knew about the quantity of FYM application and 23.33 per cent knew about intercropping in pomegranate and 19.16 per cent of them knew about the weedicides.

Adoption of arecanut based cropping system technologies by farmers of Uttar Kannada district of Karnataka

The study was conducted in Uttara Kannada district which comes under the jurisdiction of UAS, Dharwad during the year 2022-2023, to study the adoption of arecanut based cropping system technologies of UAS Dharwad by employing ex-post facto research design and using simple random sampling technique in Uttar Kannada districts of Karnataka constituting a total sample size of 120 farmers. Majority (69.16 %) of them adopted Sirsi local variety, cent per cent of them planted 12-18 months old seedlings, majority (69.16 %) of them plantedseedlings in may-august, large majority of them followed a spacing of 2.7x 2.7, More than half (55.83 %) of them adopted 90x90x90 cm pit size, 39.17 per cent of them followed square and triangle layout of plantation, 36.66 per cent of them followed multiple cropping with banana, large majority (81.66 %) of applied recommended dosage of FYM, more than two fifth (45.00 %) of them followed ring method of fertilizer application, large majority (79.16 %) of them adopted sprinkler drip irrigation,more than half (51.66 %) followed recommended depth of drainage, more than half (57.50 %) of them used Bordeaux mixture spray for bud spot control, more than two fifth (44.20 %) of them dug trenches for foot rot disease control, large majority of them (96.67 %) used phorate granules for spindle bug control, 30.00 per cent of them used dimethoate for mites’ control,tender nuts during July-December by majority, ripen nuts were harvested during Dec-March by 49.17 %. Large majority (89.16 %) of them manually harvested the areca nuts. Majority (68.33 %) of them of them adopted kalipak method of harvesting. More than two fifth (41.66 %) of them belonged to medium adoption level category, 30.84 per cent of them belonged to low and 27.50 per cent of them belonged to high adoption level category respectively.

"I Came Across a Junk": Understanding Design Flaws of Data Visualization from the Public's Perspective.

The visualization community has a rich history of reflecting upon visualization design flaws. Although research in this area has remained lively, we believe it is essential to continuously revisit this classic and critical topic in visualization research by incorporating more empirical evidence from diverse sources, characterizing new design flaws, building more systematic theoretical frameworks, and understanding the underlying reasons for these flaws. To address the above gaps, this work investigated visualization design flaws through the lens of the public, constructed a framework to summarize and categorize the identified flaws, and explored why these flaws occur. Specifically, we analyzed 2227 flawed data visualizations collected from an online gallery and derived a design task-associated taxonomy containing 76 specific design flaws. These flaws were further classified into three high-level categories (i.e., misinformation, uninformativeness, unsociability) and ten subcategories (e.g., inaccuracy, unfairness, ambiguity). Next, we organized five focus groups to explore why these design flaws occur and identified seven causes of the flaws. Finally, we proposed a research agenda for combating visualization design flaws and summarize nine research opportunities.

Smoke-Aware Global-Interactive Non-local Network for Smoke Semantic Segmentation.

Compared with other objects, smoke semantic segmentation (SSS) is more difficult and challenging due to some special characteristics of smoke, such as non-rigid, translucency, variable mode and so on. To achieve accurate positioning of smoke in real complex scenes and promote the development of intelligent fire detection, we propose a Smoke-Aware Global-Interactive Non-local Network (SAGINN) for SSS, which harness the power of both convolution and transformer to capture local and global information simultaneously. Non-local is a powerful means for modeling long-range context dependencies, however, friendliness to single-scale low-resolution features limits its potential to produce high-quality representations. Therefore, we propose a Global-Interactive Non-local (GINL) module, leveraging global interaction between multi-scale key information to improve the robustness of feature representations. To solve the interference of smoke-like objects, a Pyramid High-level Semantic Aggregation (PHSA) module is designed, where the learned high-level category semantics from classification aids model by providing additional guidance to correct the wrong information in segmentation representations at the image level and alleviate the inter-class similarity problem. Besides, we further propose a novel loss function, termed Smoke-aware loss (SAL), by assigning different weights to different objects contingent on their importance. We evaluate our SAGINN on extensive synthetic and real data to verify its generalization ability. Experimental results show that SAGINN achieves 83% average mIoU on the three testing datasets (83.33%, 82.72% and 82.94%) of SYN70K with an accuracy improvement of about 0.5%, 0.002 mMse and 0.805 Fβ on SMOKE5K, which can obtain more accurate location and finer boundaries of smoke, achieving satisfactory results on smoke-like objects.

Health Resource Gaps in Primary Health Care Facilities: Community Members’ Perspectives in the Era of Universal Health Coverage in Lawra Municipality, Ghana

Background. Health resources are key determinants of healthcare coverage. Community members who utilise healthcare have significant insights into the availability of health resources in providing healthcare. Aim. This study sought to explore community (health committee) members’ perspectives on health resource gaps in lower-level health facilities in the municipality. Methods. The qualitative descriptive study explored the perspectives of community members who served on the health committee. Thirty-four community health committee members at community-based health planning and services (CHPS) compounds, maternity-unit CHPS, and health centres were studied. Results. The study found three high-level categories of resource gaps deemed relevant to community members—infrastructural gaps, equipment gaps, and safety-quality gaps. Conclusion and Recommendation. There are perceived gaps in health resources from the community members’ perspective. It is recommended that the Lawra Municipal Health Directorate and other health directorates with similar health resource challenges take steps to fill health resource gaps to ensure universal health coverage.

Applying deep learning in brain computer interface to classify motor imagery

Deep-learning (DL) is a new paradigm in the artificial intelligence field associated with learning structures able to connect directly numeric data with high-level patterns or categories. DL seems to be a suitable technique to deal with computationally challenging Brain Computer Interface (BCI) problems. Following DL strategy, a new modular and self-organized architecture to solve BCI problems is proposed. A pattern recognition system to translate the measured signals in order to establish categories representing thoughts, without previous pre-processing, is developed. To achieve an easy interpretability of the system internal functioning, a neuro-fuzzy module and a learning methodology are carried out. The whole learning process is based on machine learning. The architecture and the learning method are tested on a representative BCI application to detect and classify motor imagery thoughts. Data is gathered with a low-cost device. Results prove the efficiency and adaptability of the proposed DL architecture where the used classification module (S-dFasArt) exhibits a better behaviour compared with the usual classifiers. Additionally, it employs neuro-fuzzy modules which allow to offer results in a rules format. This improves the interpretability with respect to the black-box description. A DL architecture, going from the raw data to the labels, is proposed. The proposed architecture, based on Adaptive Resonance Theory (ART) and Fuzzy ART modules, performs data processing in a self-organized way. It follows the DL paradigm, but at the same time, it allows an interpretation of the operation stages. Therefore this approach could be called Transparent Deep Learning.

YOUNG ENGLISH LEARNERS’ ANXIETY: THE CASE IN INDONESIAN ELEMENTARY CLASSROOM

It is a common phenomenon that English language learners suffer from anxiety when they step into a language class, especially in the oral-focused lesson. This situation is experienced not only by adult English learners but also by the young ones who are learning in English-speaking classes at the elementary school level. Language anxiety they have is triggered by or originated from numerous factors, including the teacher’s identity factor. A teacher who is a ‘native’ speaker of the language is believed to gear greater anxiety among English as a foreign language learners resulted in passiveness and withdrawal from oral activities in the class. Referring to the circumstance, this study, was conducted to see the level of anxiety in English speaking classes which were taught by a native English speaker teacher (NEST) as well as to see the possible aspects evoking foreign language anxiety among young English learners. This present research, particularly, involved 69 active students of Tarakanita 1 elementary school in Jakarta. The research data was collected using a qualitative method with a set of questionnaires as a major data collection instrument, embracing three key indicators namely fear of communicating, fear of negative evaluations, and testing anxiety. To identify similarities and differences among students of differing anxiety levels, five categories: very low, low, moderate, high, and very high anxiety are applied. Quantitative analysis of the data revealed that the participants exhibit different levels of anxiousness in speaking English with a native English speaker. The highest percentage fell at high level category which was applied for the three aforementioned indicators. Pertaining to the factors influence might arouse anxiety in speaking class fear of communicating, contribute as much as the other two: fear of negative evaluations, and testing anxiety. The findings of this study are expected to benefit both teachers and students. It is hoped that students will develop more awareness towards factors, as anxiety, that may hinder them from mastering English-speaking skill and find solutions to overcome anxiety in speaking. Moreover, teachers are hoped to be more understanding and concerned with the anxiety young English learners experience and help them reduce their anxiety during the classroom performance through implementing various strategies.

Impact of Training on Modern Machineries and Improved Agricultural Technologies towards Cognitive Assessment of Farmers

In the era of fast changing technology, training has become an integrated part of investment for accelerating transfer of technology to people of all walks of life. The well-established network of organizations spread over the length and breadth of the country. The budget spent on training has tremendously increased over the past few years. with this background the study under taken at Trichy district, Tamil Nadu state of a country India by employing purposive sampling procedure. Agricultural Engineering College & Research Institute, Kumulur is one of the constituent colleges of Tamil Nadu Agricultural University located in Trichy. It is a pioneer institute in Tamil Nadu doing research on Agricultural Engineering technologies and Machinery. It is being chosen by the Tamil Nadu Govt. for state level capacity development trainings of farmers under the Agricultural Technology Management Agency and Agrl. Engineering Department (AED). Using simple random sampling procedure 10 farmers (trainees) were selected from 18 Districts of Tamil Nadu who were visited the institution during the study period. (180 sample size). The major objectives, as study of socioeconomic profile and knowledge assessment during pre and post training on Farm Machineries, Bio-energy, Agricultural Processing, Soil and Water Conservation, Drip irrigation and improved Agricultural sciences. Among 180 respondents, Majority of them were old age group (38.89 %) studied primary education (30.00 %) equally spread in marginal and small land holdings (around 75 %), possessed high level of farming experience (38.89 %) had medium level of extension agency contact (47.78 %), possessed medium level of Information seeking behaviour (53.89 %) with a medium level of Innovativeness (42.78 %). Knowledge test was assessed prior to training, among 180 respondents, Majority of farmers belonged to the medium level of knowledge category on all six categories and the after training knowledge test showed that the respondents belonged to low level were distributed in medium to high level of knowledge category and the medium level was elevated to high level category. The alternate hypothesis (H1)was proved through ‘ t’ test that there was a significant difference prevailed in the knowledge level of the respondents acquired through the trainings conducted on the recently developed Agrl. Technologies and modern machineries.

Risiko Proyek Konstruksi pada Tahap Pelaksanaan Pembangunan Jalan Tol (Studi Kasus: Proyek Pembangunan Jalan Tol Solo – Jogja)

The Solo – Jogja Toll Road Development Project is a large-scale project with a large potential risk, especially at the project implementation stage. This research aims to find risks, obtain the level of risk by conducting a risk assessment, and recommend control measures against possible risks. The research method used in this study is HIRARC (Hazard Identification, Risk Assessment, and Risk Control). Purposive sampling was used to collect data from 30 respondents using a questionnaire based on certain criteria. The testing of this research instrument is in the form of validity and reliability tests using SPSS. In this research, 5 risk groups were identified during the implementation stage of the Solo - Jogja Toll Road Construction Project, including project risk, technical risk, natural risk, human risk, and occupational health and safety risk. The results of the analysis explained that the project has a risk range from low to high levels. The risk included in the high-level category is the risk of damage to roads around the project due to heavy equipment, such as dump trucks, project materials carriers, and trucks mixer. The risk can be minimized by creating a safe project access road, so that project activities do not cause further damage to the road.

Community-driven governance of FAIRness assessment: an open issue, an open discussion.

Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or required to make research artefacts (including, but not limited to, research data) Findable, Accessible, Interoperable, and Reusable. The FAIR Principles cover all types of digital objects, metadata, and infrastructures. However, they focus their narrative on data features that support their reusability. FAIR defines principles, not standards, and therefore they do not propose a mechanism to achieve the behaviours they describe in an attempt to be technology/implementation neutral. Various FAIR assessment metrics and tools have been designed to measure FAIRness. Unfortunately, the same digital objects assessed by different tools often exhibit widely different outcomes because of these independent interpretations of FAIR. This results in confusion among the publishers, the funders, and the users of digital research objects. Moreover, in the absence of a standard and transparent definition of what constitutes FAIR behaviours, there is a temptation to define existing approaches as being FAIR-compliant rather than having FAIR define the expected behaviours. This whitepaper identifies three high-level stakeholder categories -FAIR decision and policymakers, FAIR custodians, and FAIR practitioners - and provides examples outlining specific stakeholders' (hypothetical but anticipated) needs. It also examines possible models for governance based on the existing peer efforts, standardisation bodies, and other ways to acknowledge specifications and potential benefits. This whitepaper can serve as a starting point to foster an open discussion around FAIRness governance and the mechanism(s) that could be used to implement it, to be trusted, broadly representative, appropriately scoped, and sustainable. We invite engagement in this conversation in an open Google Group fair-assessment-governance@googlegroups.com.

Misconception Analysis of the Upin and Ipin Movie in Biology Learning on Viruses, Ecosystems, and Environmental Pollution Material

<p>Misconceptions often occur in education, especially in biology. Misconceptions can occur outside of school. In addition, there are preconceptions of other sources. Sources of these preconceptions are, for example, films with unorganized science-fiction themes. Film The most popular children's animation in the community today is Upin & Ipin. Study This study aims to find out the misconceptions in the Upin & Ipin film with the theme learning biology material on viruses, ecosystems, and environmental pollution. Which method used in this research is descriptive method with qualitative data approach. Technique data collection uses observation and documentation while data collection tools in the form of observation sheets and documentation tools in the form of video files for the film Upin & Ipin season 11 with the Erase Virus 1-3, Season 10 with the title Ecosystem part 1-3, Season 7 with the title Dangers of Jerebu part 1-3. The results of the analysis of misconceptions of the film Upin & Ipin are the most in episodes the Erase Virus. There are 5 concepts that experience misconceptions with the category of misidentification by 71.42% with high level category and there are 2 concepts with category oversimplification of 28.57% in the low level category. For Upin & Ipin film episode Ecosystem and Dangers of Jerebu there are 9 concepts but there are no misconceptions. Based on From this research, it can be concluded that there are misconceptions in Upin & Ipin film season 11 episodes the Erase Virus part 1-3.</p>

Description of Procedural Fluency and Productive Mathematical Disposition of Middle School Students

The objectives of this study to describe the level of procedural mathematical fluency of students in solving problems on number pattern material and to describe the level of students' mathematical productive disposition in class VIII SMP Negeri 1 Baitussalam. This study used descriptive qualitative research with three students as subjects grouped into three categories namely high, medium and low. The results showed that mathematical procedural fluency (1) students in the high level category fulfilled all indicators. (2) students in the moderate level category fulfill two of the three indicators. (3) students in the low level category only meet one indicator. And the results for mathematical productive dispositions: (1) students with a high level fulfill all indicators (2) students in the medium level category fulfill five of the seven indicators (3) students in the low level category only fulfill two of the seven indicators.

Modelling in engineering: A citation context analysis

Purely quantitative citation measures are widely used to evaluate research grants, to compare the output of researcher or to benchmark universities. The intuition that not all citations are the same, however, can be illustrated by two examples. First, studies have shown that erroneous or controversial papers have higher citation counts. Second, does a high-level citation in an introduction have the same impact as a reference to a paper that serves as a conceptual starting point? Companions to purely quantitative measures are the so-called citation context analyses which aim to obtain a better understanding of the link between citing and cited work. In this article, we propose a classification scheme for citation context analysis in the field of modelling in engineering. The categories were defined based on an extensive literature review and input from experts in the field of modelling. We propose a detailed scheme with six categories ( Perfunctory, Background Information, Comparing/Confirming, Critique/Refutation, Inspiring, Using/Expanding) and a simplified scheme with three categories ( High-level, Critical Analysis, Extending) that can be used within automatic classification approaches. The results of manually classifying 129 randomly selected citations show that 87% of citations fall into the high-level category. This study confirms that critical citations are not common in written academic discourse, even though criticism is essential for scientific progress and knowledge construction.

Analisis Tingkat Kecakapan Hidup Dalam Perpektif Gender di Klub Bulutangkis Kota Bandung

The purpose of this study was to analyze the level of life skills possessed by badminton athletes from sports clubs in Bandung using descriptive methods. A total of 44 athletes consisting of 31 male athletes and 12 female athletes participated in this study. The research instrument is the Life Skills Scale of Sport (LSSS), consisting of 47 items which were developed by Cronin to measure the level of life skills possessed by badminton athletes. The data obtained were analyzed using descriptive statistical analysis and independent sample T-test using SPSS software version 29.0. The results showed that the level of life skills for male athletes was the same as for female athletes. Both are in the high level category with a percentage of 72.73%. Based on gender, male athletes were in the high category with a percentage of 71.0% and female athletes were also in the high category with a percentage of 76.9%. Meanwhile, in the independent sample T-test analysis, the value of Sig. (2-Tailed) = 0.897. Based on these results, it can be seen that Sig. (2-Tailed) > 0.05, so there is no significant difference between the life skills of male athletes and female athletes.
 Key words: Badminton, Life Skills, Sport Coaching,

Evidence for an amodal domain-general object recognition ability

A general object recognition ability predicts performance across a variety of high-level visual tests, categories, and performance in haptic recognition. Does this ability extend to auditory recognition? Vision and haptics tap into similar representations of shape and texture. In contrast, features of auditory perception like pitch, timbre, or loudness do not readily translate into shape percepts related to edges, surfaces, or spatial arrangement of parts. We find that an auditory object recognition ability correlates highly with a visual object recognition ability after controlling for general intelligence, perceptual speed, low-level visual ability, and memory ability. Auditory object recognition was a stronger predictor of visual object recognition than all control measures across two experiments, even though those control variables were also tested visually. These results point towards a single high-level ability used in both vision and audition. Much work highlights how the integration of visual and auditory information is important in specific domains (e.g., speech, music), with evidence for some overlap of visual and auditory neural representations. Our results are the first to reveal a domain-general ability, o, that predicts object recognition performance in both visual and auditory tests. Because o is domain-general, it reveals mechanisms that apply across a wide range of situations, independent of experience and knowledge. As o is distinct from general intelligence, it is well positioned to potentially add predictive validity when explaining individual differences in a variety of tasks, above and beyond measures of common cognitive abilities like general intelligence and working memory.

Analisis pengaruh religiusitas terhadap preferensi busana renang pada Siswa MAN 2 Yogyakarta

This research aimed at analysing and determining the effect of religiosity toward the selection of swimsuit of female students of MAN 2 Yogyakarta. The research used a causal quantitative approach, with purposive sampling method. The data were collected using likert scale model questionnaires. The data obtained were then analyzed using the prerequisite test for normality and linearity, and hypothesis test using a simple linear regression test. The results indicate that there is a significant effect of religiosity toword the selection of swimsuit of the female studens of MAN 2 Yogyakarta. The results of the hypothesis test show: (1) the religiosity of MAN 2 Yogyakarta students is included in the high level category. (2) the swimsuit selection process of female students of MAN 2 Yogyakarta is still based on the Islamic principles of wearing clothes. (3) there is a significant effect of religiosity toward the selection of swimsuit of the female students of MAN 2 Yogyakarta.