Fit For Use Research Articles

Development of Digital Comic Media with Ethnomathematics Nuances of Palembang Traditional Food for Elementary School Fifth Grade Minimum Competency Assessment Activities

The minimum competence assessment (AKM) activity designed by the Ministry of Education and Culture is used to assess student literacy and numeracy at every level of education. This activity provides a great challenge for teachers to create a learning media that can support the student learning process in implementing AKM. This study uses the 4D development research model which includes Defining, Designing, Developing, and Disseminating. This research was conducted with 3 experts and 23 students as research objects. The results of this study in the form of quantitative data were analyzed to become qualitative data using the media validation formula and practicality test. This development research obtained the final result in the form of digital comic media with ethnomathematics nuances of traditional Palembang food to increase valid and practical basic numeracy literacy with an average final validation test of 3.33 with a good classification (valid) and an overall practicality test percentage of 87.5% which classified as very practical. The media produced as the final product can be declared fit for use as media that can be used during class AKM activities. Keywords: Digital Comics, Ethnomathematics, AKM

Problem Based Learning Model to Increase Junior High School Students Achievement Motivation

This research aims: 1) to determine current achievement motivation junior high school students in Bogor City. 2) to develop Problem Based Learning model to improve students of junior high school in Bogor City. 3) to determine the effectiveness of PBL model in improving students of junior high school achievement motivation and innovation in Bogor City. This research is based on the development research by Borg and Gall with three research and development stages, preliminary study, model development, and model test. The data analysis used during the development research were descriptive analysis, model validation analysis, and model effectiveness analysis with t-test independent samples. The results of the research concluded that: the achievement motivation and innovation of junior high school students in Bogor City is currently low and needs to be improved; the developed model is declared "fit for use" by learning experts with more notes. The PBL model is declared effective in increasing the achievement motivation students for junior high school in Bogor City.

Processing Country Centroids at the Global Biodiversity Information Facility

The Global Biodiversity Information Facility (GBIF) is an international network and data infrastructure that promotes open access to biodiversity data. GBIF serves as a global hub for aggregating and disseminating biodiversity information from diverse sources, including museums, research institutions, and citizen science projects. I will present recent additions to GBIF data quality measures, focusing on the introduction of the country centroid filtering feature. Additionally, I explore the functionality and significance of GBIF data quality flags, which aid in assessing the reliability and usability of the aggregated data. I will also discuss recent changes to the default filtering mechanism employed by GBIF to remove suspicious points. GBIF Data Quality Flags GBIF employs a large set of data quality flags to provide users with an assessment of the reliability and fitness for use of the aggregated data. These flags are assigned based on various quality-related criteria, such as geographic precision, taxonomic accuracy, and completeness of associated metadata. By analyzing these flags, users can make informed decisions regarding the suitability of data for their specific research or conservation needs. GBIF data quality flags serve as valuable indicators that facilitate data filtering and enhance data usability. These flags are assigned to individual occurrence records based on various quality-related criteria and are designed to help data users evaluate the trustworthiness and suitability of the data for their specific needs. Country Centroid filter Retrospective geocoding is a process in which historical occurrence data lacking precise geographic coordinates are assigned approximate mappable locations based on other available information, such as locality descriptions, gazetteers, or administrative boundaries. Retrospective geocoding introduces centroids into occurrence datasets wherever better information than a large named area is unknown. A Country centroid refers to the geographical center point of a country's geographic polygon. Recently, GBIF has implemented country centroid filtering as a feature. By utilizing this filtering technique, GBIF users can identify and exclude occurrences that are country or area centroids. This ensures that data users receive more accurate and reliable information, reducing potential errors resulting from georeferencing issues. The Catalogue of Centroids is a GitHub repository designed to collect and provide a comprehensive list of country centroids for the purpose of occurrence data filtering. The repository serves as a central resource for storing and sharing centroid coordinates associated with each country, area, or province. The main idea is to gather the from sources most often used during retrospective geo-referencing of museum collections. Fig. 1 Default Filtering and Treatment of Suspicious Points GBIF employs default filtering mechanisms to identify suspicious occurrences from its aggregated datasets. For example, the "Country Coordinate Mismatch" data quality flag in GBIF is a quality assessment indicator that highlights occurrences where there is a potential mismatch between the recorded coordinates and the associated country information. Similarly, zero coordinates are often encountered as placeholders or missing data points. GBIF's default filtering process identifies such occurrences from the dataset, as they can introduce inaccuracies when conducting spatial analyses or mapping exercises. This step ensures that only reliable and valid occurrences are available for further analyses and downstream applications. GBIF continues to improve data quality flagging, which significantly enables users to assess the fitness of data for a particular use and increases the utility of the mediated biodiversity information.

Generating multidimensional clusters with support lines

Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem’s space. In turn, synthetic data generators have the potential of creating vast amounts of data – a crucial activity when real-world data is at premium – while providing a well-understood generation procedure and an interpretable instrument for methodically investigating cluster analysis algorithms. Here, we present Clugen, a modular procedure for synthetic data generation, capable of creating multidimensional clusters supported by line segments using arbitrary distributions. Clugen is open source, comprehensively unit tested and documented, and is available for the Python, R, Julia, and MATLAB/Octave ecosystems. We demonstrate that our proposal can produce rich and varied results in various dimensions, is fit for use in the assessment of clustering algorithms, and has the potential to be a widely used framework in diverse clustering-related research tasks.

Development and evaluation of a fast fabrication process-based 3D printed strain gauge sensors

The prevailing use of sensing technologies has facilitated advanced research on the fabrication of sensors for various applications. As the demand for sensor technology continues to rise, there is also an increased need for fabrication methods that are inexpensive and fit for use. Most conventional fabrication methods are not adaptive to rapid design and material change. Strain gauge sensors play a vital role in monitoring subtle mechanical deformations in rigid bodies. Additive manufacturing techniques can be utilized to easily prototype sensors that fit the application’s specific geometric and material needs. Also, modifications of design in terms of both shape and substrate can be implemented and tested using rapid prototyping. Within this study, the performance of 3D-printed meandering-line strain gauge sensors is investigated. A design of experiments (DoE) was developed, wherein the parameters of line width, thickness, and shape were varied and their impact on performance is analyzed.

Cost-based analysis of the impact of data completeness and representational consistency

Data quality is an important topic for businesses and therefore requires appropriate analysis tools. Although several rule-based systems exist today for quality measurement, their results do not always reflect the real impact of quality issues on practical data usability and are therefore not well-suited to base economic decisions on. This work practically implements and evaluates an alternative, cost-based approach for data quality analysis starting from a ‘fitness for use’-perspective. The practical impact of completeness and representational consistency of data stored in an integrated relational database is investigated in an experiment with 218 volunteers. Two alternative versions of this database are then prepared by manually improving their data quality. Participants are randomly assigned to one of three databases and are given a set of questions to resolve by means of SQL. As questions are resolved, we measure several cost-based indicators such as ability to solve, time to solve and number of attempts. Results indicate that the impact of data quality issues can differ significantly from what would be expected when using rule-based measurement. Effects range from almost no impact to a 65% reduction in time needed to solve tasks. Effect sizes up to 0.43 using one-way ANCOVA tests are observed.

Uji Kualitas Mikrobiologi Air Sungai Manjali Kecamatan Lewa Kabupaten Sumba Timur

The Manjali River is one of the rivers that cross Lewa District, East Sumba Regency. The Manjali River is used by local people for activities. The number of community activities around the river increases the amount of domestic waste that enters the Manjali River. This study aims to measure the microbiological quality of river water quality standards in the Manjali River. The sampling technique used in this study used purposive sampling by taking samples at 3 station points and then microbiological testing of water using the MPN method with 3 stages of testing, namely presumptive test, confirmed test, and complete test). The test results during the 2-day incubation proved that no bubbles were produced in the Durham tube, which means that there were no coliform bacteria in the Manjali River water so the water is fit for use by the community to worthy their clean water needs.

DESAIN PROJECT BASED LEARNING TERINTEGRASI STEMM UNTUK MENINGKATKAN KEMAMPUAN BERWIRAUSAHA SISWA

This research aims to analyze the potential and conditions, characteristics, applicability, attractiveness, student activities, and the effectiveness of using the STEM Integrated Project Based Learning Design in the Ruminant Agribusiness Skills Competency of Ruminant Animals to improve the entrepreneurship skills of students at the Integrated Excellent State Vocational School for the 2021/2022 academic year. Data collection techniques with questionnaires and observation. The product results are in the form of STEM Integrated Project Based Learning design development complemented by Syntax, Syllabus, RPP and LKPD. Material expert validation results for the feasibility of STEM integrated project based learning design obtained 96% results (appropriate to use), media/design expert validation results obtained an average result of 93.5% (feasible to use), linguist validation test results obtained average results -average 92.5% (fit for use). Product testing on design implementation is 92% (can be used) and students' responses to design attractiveness are 100% (interesting). The average N-Gain Score results show that the STEM-integrated Project Based Learning Design is effective for improving students' entrepreneurship skills in the ruminant livestock agribusiness expertise competency at Integrated Excellent State Vocational School.

PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) BERBASIS PENDEKATAN SAINTIFIK DALAM MUATAN MATERI IPAS KELAS IV

Curriculum changes from the 2013 curriculum to the independent curriculum made several schools need to complement the needs of existing teaching materials. This research has the aim of developing student worksheets (LKPD) based on a scientific approach to the content of class IV Elementary School Science Social material. This research is development research using the 4-D development model (Define, Design, Develop, Disseminate). The device developed is printed teaching materials in the form of LKPD on the material Appearance of Nature and Its Utilization. Data collection techniques with interviews, expert validation, and user response questionnaires. The subjects of the research validation were: 1 expert from PGSD lecturer, 2 educators or grade 4 teachers for feasibility test, and several students for trials. The results of the validation were declared valid with an average total score of 90% on the content aspect, 93% on the design aspect, and 93% on the language aspect. The three aspects of the validation results were declared fit for use without revision. The results of the user response questionnaire obtained a final result of 89.67% which was stated to have a very good or very feasible category to use.

The Development of E-Modules for Language Politeness Learning in Independent Curriculum-Based Elementary School

This study aims 1) producing a language politeness e-module based on the independent curriculum that is feasible and practical and 2) testing the effectiveness of the language politeness e-module to measure students' mastery of language courtesy at the elementary school level. The method used was Research and Development with the design of the ADDIE development model. This research was conducted on elementary school students in the Special Region of Yogyakarta by considering the category of elementary schools using the prototype curriculum so that the development of this research product is indeed needed as teaching materials for polite language in elementary schools. The sample of the study was chosen using purposive sampling techniques. Research instruments included interview sheets and questionnaires for the analysis of teaching material needs, validation questionnaires for material experts and teaching material experts, interview guideline sheets, and closed questionnaires for media effectiveness tests. Data analysis techniques used descriptive, qualitative-quantitative, and t-test. According to media and material experts, the result of this study was that teaching language politeness based on an independent curriculum was feasible. The average score obtained from the results of the feasibility assessment of material experts I was 4.42 with excellent categories, and media experts 4.6 with excellent categories. The average assessment eligibility score from teachers in product trials included the feasibility of presenting 4.72 with excellent categories, 4.40 with language with excellent categories, 4.90 with displays with excellent categories, and 4.40 with teaching material content conformity with excellent categories. Overall, language politeness teaching materials based on the independent curriculum were declared fit for use after several revisions based on expert advice with an excellent and good final assessment. Teaching materials that are declared suitable for use by teachers so that they can be applied in the learning process in elementary schools.

Development of a basketball game concept for 5th grader 3rd elementary school Margomulyo

<p>Movement learning in physical education is divided into cognitive stages, associative stages, and automatic stages. The cognitive stage is the main capital in learning student motion to understand the concept of motion we want. The concept map in this basketball game aims to supplement teaching materials for student basketball games. This study uses a descriptive-quantitative design referring to the Lee Owens development model. The research data is the result of expert validation, small group trials, and large group trials. In the results of the small group trial, a percentage of 82% was obtained, meaning that concept maps could be used. In the large group trial, a percentage result of 84.1% was obtained, meaning that the basketball game concept map was declared fit for use. The suggestions in developing this concept map are that it is hoped that this research will go in a further direction as follows: (1) The research subjects are broader and more in-depth (2) The research is not only carried out at the elementary school level, class V, but all upper classes with big ball learning especially basketball.</p>

Pengembangan Bahan Ajar Multimoda Transportasi Prodi Diploma Iv Transportasi Laut

The development of teaching materials in this study refers to the ADDIE development model. explained the development of the ADDIE model includes five steps, namely: Analysis, Design, Development, Implementation, and Evaluation. The type of data used is quantitative. Data collection is done by means of a questionnaire to determine the level of eligibility of teaching materials. The results of the study showed the feasibility of the Multimodal Transportation Teaching Material product developed which was declared fit for use according to media and material experts with a percentage of 86.59% and 74.39%, According to the cadets' responses, the user response was declared feasible with a percentage of 76.12% so that the product that had been developed was suitable for use as a learning resource in the learning process of the Multimodal Transportation course.

A Review on Introduction to Quality Assurance

Quality assurance (QA) is the management technique used to provide adequate confidence that a product, service, or result will satisfy requirements for quality and be fit for use. Each monitoring program or assessment must strive to generate data that is precise, dependable, and sufficient for the specified purpose. Data quality objectives are qualitative and quantitative standards that are used to create a system that will keep the level of uncertainty within permitted boundaries and at an acceptable level. Quality assurance will boost public and funding body confidence. Unconfirmed observations should not be used until they can be verified. Robust pharmaceutical quality assurance system ensures that products are effective and safe. Following good manufacturing practices (GMP) and enacting comprehensive inspection policies help drug manufacturers produce the highest quality products and avoid reputation-damaging incidents. Product Quality Review (PQR) is a mechanism to ensure that data captured by the Pharmaceutical Quality System (PQS) is reviewed for trends. This tool can support a continuous improvement environment. PQRs are designed for the purpose of identifying and implementing recommendations for required improvements. Quality control and quality assurance jobs are all about ensuring the medication has been manufactured correctly and is safe to use, as well as having its desired effect. Without these two functions of quality management, a pharmaceutical organisation would struggle to achieve consistency in its output. Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements. QA establishes and maintains set requirements for developing or manufacturing reliable products.

Environmental Assessment of Shakkar and Pench River of Chhindwara District & Photodegradation of River Water by Nano Catalyst

In this research paper deals with work discussing about photo-degradation of river water by nano catalyst. This review discusses the utilization of photocatalysis for the degradation of water pollutants. Emphasis is placed on TiO2 nanoparticles as a benchmark photocatalyst for the destruction of microorganisms and the degradation of a wide variety of organic compounds like phenolics, dyes, pesticides and pharmaceuticals. The mechanism of photocatalytic degradation is elucidated, underlining the importance of reaction kinetics for the efficient design of the processes. The effects of different reaction parameters on photocatalytic degra-dation are discussed. Surface modification of TiO2 for visible light response doping and heterostructuring is outlined. Finally, the challenges in the implementation of this technology for ‘‘real’’ waste water systems are summarized. Photo-degradation is the process of alteration of materials by light, refers to the combined action of light and air. It is usually oxidation and hydrolysis. Nano Catalyst is used for water purification. In this research paper work we are going to discuss about water purification of Shakkar & Peach river of Chhindwara District, Mphilisi M. Mahlambi (2015). The South African National Water Act (Act number 36 of 1998) specifically states that water resources must remain fit for use on a sustainable basis and that their quality must be constantly monitored. Therefore the availability of water should be based not only on the quantity but also on the quality of the available water. However, due to agricultural, industrial, and domestic activities the quality of river water or groundwater continues to deteriorate due to pollution by hazardous materials.

Uncertainty of spatial averages and totals of natural resource maps

AbstractGlobal, continental and regional maps of concentrations, stocks and fluxes of natural resources provide baseline data to assess how ecosystems respond to human disturbance and global warming. They are also used as input to numerous modelling efforts. But these maps suffer from multiple error sources and, hence, it is good practice to report estimates of the associated map uncertainty so that users can evaluate their fitness for use.We explain why quantification of uncertainty of spatial aggregates is more complex than uncertainty quantification at point support because it must account for spatial autocorrelation of the map errors. Unfortunately, this is not done in a number of recent high‐profile studies. We describe how spatial autocorrelation of map errors can be accounted for with block kriging, a method that requires geostatistical expertise. Next, we propose a new, model‐based approach that avoids the numerical complexity of block kriging and is feasible for large‐scale studies where maps are typically made using machine learning. Our approach relies on Monte Carlo integration to derive the uncertainty of the spatial average or total from point support prediction errors. We account for spatial autocorrelation of the map error by geostatistical modelling of the standardized map error.We show that the uncertainty strongly depends on the spatial autocorrelation of the map errors. In a first case study, we used block kriging to show that the uncertainty of the predicted topsoil organic carbon in France decreases when the support increases. In a second case study, we estimated the uncertainty of spatial aggregates of a machine learning map of the above‐ground biomass in Western Africa using Monte Carlo integration. We found that this uncertainty was small because of the weak spatial autocorrelation of the standardized map errors.We present a tool to get realistic estimates of the uncertainty of spatial averages and totals of natural resource maps. The method presented in this paper is essential for parties that need to evaluate whether differences in aggregated environmental variables or natural resources between regions or over time are statistically significant.

Predicting Reading Achievement Through Progress Monitoring in Elementary School

ABSTRACT This longitudinal study examined the effectiveness of a progress monitoring method, namely the Multilayer Instruction Model-Progress Monitoring (MIM-PM), which is a word reading fluency measure. It was used from 1st grade onward to predict the overall reading achievement of students in elementary school by tracking their reading achievement over the following six years. A total of 827 elementary school students in Japan participated in this study. At the end of every other year—2nd, 4th, and 6th grades—a standardized Reading Test (RT) was administered to assess overall reading achievement. The relationship between each MIM-PM measure and RT was determined using the latent growth curve model (LGCM). Using the LGCM, we confirmed that the MIM-PM had an acceptable fit for use in the prediction model for RT from 2nd to 6th grades. The MIM-PM slope explained the intercept of RT, rather than that of MIM-PM. Thus, it can assist in predicting reading achievement in later grades based on word reading fluency, as well as monitor students’ progress from an early stage of the educational process.

Qualification of proof assistants, checkers, and generators: Where are we and what next?

Cyber-physical systems, such as learning robots and other autonomous systems, employ high-integrity software in their safety-critical control. This software is developed using a range of tools some of which need to be qualified for this purpose according to international standards. In this article, we first evaluate the state of the art of tool qualification for proof assistants, checkers (e.g., model checkers), and generators (e.g., code generators, compilers) by means of a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Our focus is on the qualification of tools in the three mentioned categories. Our objective is to assess under which conditions these tools are already fit or could be made fit for use in the practical engineering and assurance of high-integrity control software. In a second step, we derive a viewpoint and a corresponding range of suggestions for improved tool qualification from the results of our SWOT analysis.

Development of Inquiry-Based Teaching Materials to Improve the Creativity of Prospective Physics Teachers

This research is part of development research at the development stage. Inquiry-based teaching materials developed to increase the creativity of physics teacher candidates have been validated by experts and declared fit for use. At this stage, the aim is to determine the effectiveness of the developed teaching materials in increasing the creativity of prospective physics teachers. The effectiveness of teaching materials developed by researchers can be known by increasing students' creativity based on the results of the N-Gain test after being given a pretest and posttest. The creativity instrument used is a description test which is divided into verbal and figural creativity tests. The pretest average score for the verbal and figural creativity instruments was 62.71 and the posttest average score for creativity was 93.50 both verbal and visual. This value was then analyzed using the N-Gain test with a calculation result of 82.07%, which means that this value is classified into the high increase category. So it can be concluded that the development of inquiry-based teaching materials to increase the creativity of prospective physics teachers is valid and effective

Development of Scıentıfıc-Based LKPD to Improve Students' Problem-Solvıng Abılıty

This study aims to determine the process and results of developing scientific-based mathematics learning worksheets that meet valid and practical criteria and test the developed worksheets' validity, practicality, and effectiveness. This research and development refer to the steps of Borg and Gall. The research subjects were grade VIII students of the Qur'an Science Middle School Minhajuth Thullab Pekalongan for the 2022/2023 academic year: data collection techniques using interviews, problem-solving ability tests, and questionnaires. The results showed that the LKPD teaching materials developed were categorized as valid (fit for use) based on the assessment of media and material expert validators. In addition, the developed scientific-based LKPD is also categorized as practical based on student assessments and responses from the mathematics teacher. Based on hypothesis testing and proportions, the scientific-based LKPD can improve problem-solving skills, but it is not yet effective because the proportion of students with good category problem-solving abilities is not more than 60% of the total number of students.

Prehospital Cardiac Arrest Should be Considered When Evaluating Coronavirus Disease 2019 Mortality in the United States.

Public health emergencies leave little time to develop novel surveillance efforts. Understanding which preexisting clinical datasets are fit for surveillance use is of high value. Coronavirus disease 2019 (COVID-19) offers a natural applied informatics experiment to understand the fitness of clinical datasets for use in disease surveillance. This study evaluates the agreement between legacy surveillance time series data and discovers their relative fitness for use in understanding the severity of the COVID-19 emergency. Here fitness for use means the statistical agreement between events across series. Thirteen weekly clinical event series from before and during the COVID-19 era for the United States were collected and integrated into a (multi) time series event data model. The Centers for Disease Control and Prevention (CDC) COVID-19 attributable mortality, CDC's excess mortality model, national Emergency Medical Services (EMS) calls, and Medicare encounter level claims were the data sources considered in this study. Cases were indexed by week from January 2015 through June of 2021 and fit to Distributed Random Forest models. Models returned the variable importance when predicting the series of interest from the remaining time series. Model r2 statistics ranged from 0.78 to 0.99 for the share of the volumes predicted correctly. Prehospital data were of high value, and cardiac arrest (CA) prior to EMS arrival was on average the best predictor (tied with study week). COVID-19 Medicare claims volumes can predict COVID-19 death certificates (agreement), while viral respiratory Medicare claim volumes cannot predict Medicare COVID-19 claims (disagreement). Prehospital EMS data should be considered when evaluating the severity of COVID-19 because prehospital CA known to EMS was the strongest predictor on average across indices.