Results Of Evaluation Research Articles

세계유산영향평가(HIA) 도입의 의의와 운영 방향에 관한 연구

In October 2023, the introduction of the HIA in the World Heritage Act was stipulated, and it is scheduled to be implemented a year later. HIA is a management tool that evaluates the positive or negative impact that the proposed development Project can have on heritage and proposes mitigation measures to reduce or eliminate negative effects if the impact is negative. The purpose of this study is to review and propose specific measures necessary to introduce and settle HIA. To this end, existing studies related to HIA at home and abroad and the HIA provisions specified in the World Heritage Act were analyzed, and the main results are as follows.
 In the screening stage, it is necessary to create separate criteria and principles for determining whether an HIA is necessary, and detailed processes accordingly. In the scoping stage, as well as identifying what properties of the heritage are affected by the development project, it is necessary to identify various stake-holders affected by it and ensure their participation from the scoping stage to the entire evaluation process to increase the capacity for evaluation results. In the HIA implementation stage, it is necessary to make a domestic World Heritage Impact Assessment Guide. In the reporting and monitoring stage, the evaluation results are to be reviewed by the Cultural Heritage Committee, and it is suggested that the scope of the subject of review be broadened to various stake-holders.

대구 달서구 공원의 범죄 안전성 평가

A well-established park can contribute a lot to the physical activity and mental health of citizens by increasing the use of the park by citizens, but a poorly-established park can make users feel isolated, and furthermore, it can provide opportunities for crime and unwanted activities. Recent violent crimes in parks have raised many questions about the safety of citizens from crimes in parks. Therefore, this study conducted a study for the purpose of evaluating whether parks are safe from crime in parks in Dalseo-gu, Daegu. While previous studies introduced small samples and technical research methods, this study selected 90 parks and attempted a quantitative evaluation by introducing factor analysis methods in the evaluation method. Specifically, this study presented the 10 parks that received the lowest evaluation in the seven principles by performing factor analysis based on the evaluation criteria of the seven principles of CPTED (natural surveillance, electrical surveillance, mechanical surveillance, activity support, natural access control, and maintenance). Based on these evaluation results, this study presents various policy proposals necessary for local governments, including parks, to make parks safer from crime.

Yellow Ground Squirrel Algorithm (YGSA): A Novel Metaheuristic Algorithm for Global Optimization

In recent years, numerous methods have emerged for optimizing problems inspired by nature. Each of these methods, according to their nature, has applications for solving specific problems with unique characteristics. Given the wide array of optimization problems across various fields, introducing novel algorithms with distinct behaviors can be both appealing and practical. In this article, a nature-inspired meta-heuristic optimization algorithm called Yellow Ground Squirrel Algorithm (YGSA) is introduced. The main idea behind YGSA is to simulate the natural behavior of a yellow ground squirrel in terms of pursuit and evasion from a farmer (the predator) and reaching the nest. The objective of the proposed algorithm is to enhance and attain a more equitable equilibrium between the fundamental stages of exploration and exploitation in contrast to preceding approaches. This balance arises from the fact that the yellow ground squirrel, during its escape, simultaneously tries to increase the distance from the farmer (the predator) and decrease the distance to its nest (burrow). To validate the proposed algorithm, 56 benchmark evaluation functions from various unimodal and multimodal types have been evaluated. The evaluation results are compared with the HBO, EBO-CMAR, FO, SCA, PSO, CS, GSA, MVO, and WSO algorithms. The optimization results for unimodal test functions demonstrate the high exploitation capability of YGSA in approaching the optimal solution, while the optimization results for multimodal test functions indicate the strong exploration ability of YGSA in finding the main optimal region in the search space.

基于模糊综合评判的 FMECA 脱粒清选系统可靠性分析

Aiming at the traditional FMECA (Failure Modes, Effect and Criticality Analysis) results of the threshing and cleaning system, which are strongly influenced by subjective factors, imprecise and easy to repeat, the fuzzy comprehensive evaluation method is introduced to quantify the results of the expert evaluation and reduce the subjective influence. Analytic Hierarchy Process (AHP) is used to assign weights to each influencing factor, and by calculating the comprehensive hazard level index, the hazard ranking of each failure mode is carried out, from which the critical failure modes are identified as the focus of improvement, so as to improve the reliability of the system. Comparison shows that the improved method effectively makes up for the shortcomings of the traditional FMECA analysis method, and it is easier to find out the critical failure modes, which provides a theoretical basis for practical application.

Sosialisasi dan Edukasi Pengolahan Makanan Pendamping ASI (MPASI) untuk Pencegahan Kasus Stunting pada Anak Balita

Complementary foods for breast milk (MPASI) are additional foods given to babies at the age of 6 months. The still high prevalence of stunting cases in Indonesia is a strong warning to always try to promote prevention efforts. The aim of this community service activity (PKM) is to educate residents of the Southeast Pontianak Subdistrict, Pontianak City in processing MPASI porridge so that toddlers have adequate sources of protein, carbohydrates and fat and are free from cases of stunting. The activity was attended by 30 participants consisting of housewives and young women. Delivery of activity material by means of an educational lecture followed by a demonstration of making MPASI porridge in a participant participatory manner. The results of the activity evaluation showed that there was an increase in the ability of activity participants in cooking MPASI porridge as well as an increase in understanding regarding stunting including the causal factors and prevention efforts

Evaluating the Program of Indonesian Elite Athlete towards Vietnam SEA Games 2022

This study aimed to evaluate the 2022 Vietnam SEA Games National Program. This research used a qualitative design with an evaluation approach using the Context model, Input, Process, and Product (CIPP). The data of this study were obtained through the triangulation of questionnaires, interviews, document studies, and observations. The 37 provincial sports branches and a sample of 300 athlete respondents represented each sport by random sampling. Data were analyzed using description frequency analysis, particularly SPSS. This study investigated four evaluation types (Context, Input, Process, and Product). Concerning the Context Evaluation, the research results show that the program has a solid legal and policy foundation, government goals, and objectives, but it has yet to be on target. Regarding the Input Evaluation, the results show that participants, organizing, financing, and committees need to be carried out correctly and improved following the development of the National Potential Young Athlete Training Center every year. The results of the Process Evaluation indicate that sports match rules should constantly be updated following the development of the Vietnam SEA Games National Plate 2022. The implementation of the match still needs to be maximized well. Apart from that, the Product Evaluation results show an increase in community participation and interest in organizing training camps for young athletes with national potential every year. The potential of athletes from the community must be optimized. The evaluation of the 2022 Vietnam SEA Games National Training Center refers to achievements and can be implemented for further national training implementation.

노인들의 인지 증진 및 소근육 향상을 위한 보드도구 개발

Objective : This study aimed to develop a board game tool for cognitive enhancement and improvement of fine motor skills in the elderly and to assess its usability among the participants. Methods : In this study, from September to October 2022, a board game was developed to improve the cognitive function and fine motor skills of the elderly. A usability test was conducted on 10 elderly people living in the community. For data analysis, SPSS version 27.0 was used, descriptive statistics were used to confirm the general characteristics of the subjects, and frequency analysis was conducted for usability evaluation. Results : The usability evaluation of the developed board game tool revealed high assessment scores and a “very excellent” grade (A) in all four categories: stability, control and functionality, usability, and satisfaction. Overall, the elderly participants provided positive assessments of the developed board game tool. Conclusion : This study has successfully developed a board game tool that the elderly can find interesting, enjoyable, and easy to access, while also promoting fine motor skills and cognitive enhancement. Based on the results of the usability evaluation, it is expected that addressing the identified issues in the developed board game tool will further enhance cognitive function and fine motor skills in the elderly and increase product satisfaction.

Formulasi Patch Transdermal Dari Kombucha Teh Hijau Sebagai Antibakteri Staphylococcus aureus

Background: Fermentation of green tea with kombucha starter can increase the content of polyphenols and catechins. Both of these secondary metabolites have activity as antibacterial and antioxidant. The transdermal patch can be applied to the skin as an antibacterial.Objective: The purpose of this study was to formulate a patch of kombucha green tea which has antibacterial activity against S. aureus.Method: The research started with the fermentation of kombucha green tea; patch formulations with kombucha variations of 10% (F1), 15% (F2), and 20% (F3); patch evaluation; and activity test using the paper disc diffusion method.Results: The results showed an increase in antibacterial activity in kombucha green tea (fermented) by 40.58%. The evaluation results of the kombucha patch, all formulas (F1, F2, and F3) have a weight and thickness that are not significantly different from the comparison (market patches), while the pH stability, all formulas show a stable pH for 28 days of storage.Conclusion: The conclusion of this study is that kombucha green tea can be formulated in the form of a patch and has potential as an antibacterial against S.aureus.Keywords: Green Tea; Kombucha; Paper Disc Diffusion; Patch; S.aureus

Research on the Development of a Rubric for Competency-based Assessment of an Introductory Academic Discourse Text

The aim of this study was to develop a rubric for evaluating beginning academic discourse texts produced in a writing class at a university. Given the recent emphasis on competency-based education and the need to introduce the concept of competence into writing education, this study proposed the development and untilzation of a writing assessment tool that enables the measurement of competence. To this end, a rubric was developed to identify competency elements that can be internalized through the performance of assignments in advanced writing courses in the liberal arts curriculum of K university and to specify achievement levels.The rubric followed the four-step model Stevens and Levi (2013), a representative rubric development model. It was designed to identify the link between task performance and university core competencies, detailed competencies that can be measured through the assessment elements of the task, and performance characteristics by achievement level. The rubric was reviewed by experts and revised to ensure its effectiveness through preliminary evaluation. We expect that the rubric can be further improved by introducing it into actual classrooms while considering the implications drawn from the preliminary evaluation results. The significance of this study is that it presents a rubric as an assessment tool that enables the consistent and efficient assessment of academic discourse texts covered in the required liberal arts courses in a university and one that identifies the specific content of the performance required to improve achievement and competence.

Cluster Analysis to Identify Priority Areas for Water Quality Management in Water Supply Systems

Zoning methodologies, such as district metered areas (DMA), are commonly employed to robustly maintain water pipe network systems in both normal and abnormal situations. However, the management and evaluation typically associated with existing DMAs primarily focus on ensuring stable water volume and pressure. Consequently, these methods do not adequately address the maintenance of water quality elements within the water supply system, such as adequately managing residual chlorine and reducing water quality complaints. This study introduced a zoning tailored explicitly for managing water quality-oriented elements, facilitating stable water quality management, and enhancing responses to water quality incidents in large-scale domestic water supply networks. A method was proposed to establish priorities for each zone, using various geographic information system (GIS)-based water quality-related structured data (such as water quality measurement data and pipe data) and unstructured data (such as water quality complaints). Comprehensive water quality management was achieved by applying machine learning techniques based on clustering analysis to derive evaluation factors. The proposed methodology was implemented in Metropolitan City A in Korea, leading to the derivation and analysis of evaluation results. This data-centric water supply network priority management area designation methodology, as presented in this study, is anticipated to serve as a valuable decision-making tool for enhancing the accuracy and reliability of water supply network operation and the overall management of water supply operators.

한국인 20대 여성 표준체형을 바탕으로 한 상의 원형 패턴 비교 연구

Background/Objectives: The relationship between somatotype and patterns in garment fitting is important when it comes to clothing fitness. In this study, we analyze the relationship and garment sample fitness between standard somatotypes of Korean females in their twenties and seven block patterns mainly used in fashion-related educational institutions. Also, we propose a block pattern correction method for Korean females in their twenties. Three types of bodice blocks, such as new bunka, Armstrong, and Natalie bray, were used in this study, along with four types of torsos blocks, such as L&N, Müiler, Secolli, and Esmod.
 Methods: The block pattern correction was conducted by analyzing the strengths and weaknesses of each block for Korean females in their twenties through sensory evaluations by seven professionals on garment samples with original blocks. Through after- correction sensory evaluations, we determined the degrees of improvements made on the corrected-block patterns' fitness, and compared the original blocks to the corrected-block patterns and their garment samples.
 Results: Comparing the sensory evaluation results of the original and the after-correction shows that garment samples of the after-correction are more suitable for body types of Korean females in their twenties. We expect that the proposed block correction method, which analyzes the characteristics of each block, is useful when using the block patterns.
 Conclusion/Implications: From this study, we hope to see future studies on the development of regression equations and pattern-making formulas that are easily applied to various body types and sizes, as well as a correction method that considers the existence of sleeves and body movements.

Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

In this paper, we propose a method for effectively evaluating the quality of business English teaching in colleges and universities. The approach is based on a multimodal neural network model integrated with grey correlation analysis. By employing the optimal data clustering criterion, we identify teaching quality evaluation indices. Subsequently, we establish a teaching quality evaluation index system using a genetic algorithm (GA) optimized Radial Basis Function (RBF) neural network. Grey correlation analysis is then applied to assess the quality of business English teaching by considering the relationship between the correlation degree and the evaluation level. The results indicate a correlation degree exceeding 0.90, signifying excellent teaching quality. The reliability of the selected evaluation indicators, assessed through retesting, surpasses 0.700, validating the evaluation results.

함수모형 기반의 고등교육재정 적정 규모 추정

The purpose of this study is to estimate the adequacy of higher education financing using publicly available data from universities from 2008 to 2021. For this purpose, we devised a method to estimate the appropriate cost of education by utilizing the public data of universities and estimated the appropriate cost of education through simulation.
 We proposed four steps to calculate the appropriate cost of education. The steps are as follows Establishing a reference group, selecting measurement indicators, calculating unit costs, and calculating the scale of affordable education costs. The top 40 universities in the JoongAng Ilbo university evaluation results were set as the reference group. Then, through regression analysis, we calculated the scale of affordable education costs for the 117 universities analyzed.
 The results of the analysis are as follows The optimal amount of funding for universities ranges from a minimum of KRW 19.8627 trillion to a maximum of KRW 33.7869 trillion. A maximum of KRW 14.6722 trillion is needed over the current KRW 19.1146 trillion for universities.
 Based on the results of the analysis, we propose implications that should be considered in the process of estimating the affordable cost of university education. These include the use of education cost data appropriate to the concept of affordable education, the need for discussion and social consensus on the affordability of university education, and the need for measures to correct the difference between actual and affordable education costs.

A Study on the Properties of Materials Affecting the Strength of Concrete in Summer

The aim of this study is to accurately show the cause of repeated concrete strength decrease in summer and to help establish appropriate countermeasures. The evaluation results of seasonal cement (n=16) conducted jointly by SSANGYONG-clients from 2019 to 2022 were analyzed. As a result, it was confirmed that the chemical compositions, physical properties, and concrete performance of the seasonal cement were all at the same level. Through the evaluation of each concrete manufacturing condition considering the temperature conditions, the cause of the decreasing strength in summer was estimated and the improvement plans were reviewed.

Corrigendum.고독사 위험집단의 유형과 특성 비교: 인천시 1인가구를 중심으로

Corrigendum.고독사 위험집단의 유형과 특성 비교: 인천시 1인가구를 중심으로

Introducing an intelligent multi-level retrieval method for mineral resource potential evaluation result data

Abstract The geological data of the mineral resource potential evaluation results (MRPERs) are diverse and extremely large; efficiently retrieving data remains a challenging problem. In this work, a new way of using the Hadoop platform is proposed. The Hadoop distributed file system is used to store the massive data and construct the data storage model of geological and mineral resources. Using a distributed Hadoop database (HBase) that supports the fast query of a single record, it manages its metadata and retrieves the data of MRPERs quickly. At the same time, a multi-level index directory is designed to support the non-main key query on the HBase. This overcomes the shortcoming that the HBase only supports the simple index based on the main key and realizes the intelligent, efficient retrieval of MRPERs. The validity and feasibility of the proposed method are further verified by experiments using the MRPER data in the Institute of Mineral Resources, Chinese Academy of Geological Sciences.

ESKALASI PROGRAM ALUR MERDEKA MATERI ETNOSAINS PEMBUATAN KLEPON DALAM ESKALASI LITERASI SAINS PADA MATA KULIAH PRAKTIKUM IPA PGSD FKIP UMSU

The background of this program evaluation is the urgent of learning loss due to Covid-19 which calls for learning to be carried out online. By this Alur Merdeka Program, it is hoped that it will be an escalation/improvement of scientific literacy in natural science practicum courses for PGSD FKIP UMSU students. The evaluation method for the Merdeka flow program in scientific literacy escalation and the evaluation results of the implementation of the Merdeka flow evaluation program in scientific literacy escalation in the Science practicum course at PGSD FKIP UMSU in terms of context, input, process, and product. The results of this study are that at the content evaluation stage an analysis of the needs of students, lecturers and learning outcomes is carried out. In the input evaluation step, the validation stage was carried out which resulted in 96.7% of the material being declared valid, 89.3% of the design being declared valid, and 84% of the language being declared valid in the development of learning tools. In the process evaluation step it was stated that in the application of the independent groove there was a change in each of the students' scientific literacy indicators in using the independent groove. students' scientific literacy in channel 1 has increased compared to pre-stream. Where in explaining the phenomenon there is an increase from an average of 75.4 to 89.23. The indicators evaluating and designing scientific investigations increased from 78.6 to 90 and the indicators interpreting data increased from an average of 75 to 91. In the final stage, namely product evaluation, it was stated that the learning tools used

FORMULASI DAN EVALUASI SEDIAAN FACIAL WASH EKSTRAK MIMBA (Azadirachta indica A.Juss)

Neem extract is known to have antibacterial activity against acne-causing bacteria. Neem extract is made into facial wash preparations to develop herbal plants into more modern preparations. This study aims to determine the optimal formulation from the results of the physical evaluation and hedonity test and then find out that there are differences from the results of the physical evaluation of neem extract (Azadirachta indica A.Juss) facial wash preparation. The research method used was a pre-experimental laboratory one-shot case study. Physical evaluation tests included organoleptic tests, homogeneity, pH, viscosity, free alkali, foam height/foam stability, free fatty acids and hedonity (favorability test). The results of the research on the organoleptic test obtained optimal results in formula 3 and the results of the homogeneity test obtained a homogeneous preparation. Optimal pH test results in formula 3. Optimal viscosity test results in formula 3. Free alkali test results from the three formulations did not contain free alkali. Optimal foam height/foam stability test results in formula 3. Free fatty acid test results do not meet SNI facial wash standards. The results of the hedonity test showed that formulation 3 was preferred by respondents. The optimal facial wash preparation is formulation 3.

Evaluation of mine water quality based on the PCA–PSO–BP model

Abstract To enhance the mining area's overall use of mine water in the arid area of Western China and mitigate the current water scarcity problem, this paper introduces an intelligent optimization algorithm and neural network for mine water quality evaluation and proposes a principal component analysis (PCA)–particle swarm optimization (PSO)–back propagation (BP) mine water quality evaluation model. Firstly, the model uses PCA to identify the primary factors affecting mine water quality, then enhances the optimal weights and thresholds of the BP neural network based on the PSO algorithm, and the PCA–PSO–BP evaluation model with nine input layers, nine hidden layers, and one output layer is created. In addition, using the Shicaocun Mine as an example, the results demonstrate that the PCA–PSO–BP model has accurate mine water quality evaluation results, and the prediction accuracy reached 86.8255%. This exemplifies the PSO method's superiority to the BP neural network improvement. This study not only offers a novel theoretical framework for assessing and forecasting water quality in mining regions, but it also sets the stage for the possible broad use of state-of-the-art neural networks and optimization algorithms in the coal mining industry.

Analisis DistilBERT dengan Support Vector Machine (SVM) untuk Klasifikasi Ujaran Kebencian pada Sosial Media Twitter

Hate speech is a significant issue in content management on social media platforms. Effective classification of hate speech plays a crucial role in maintaining a safe social media environment, combating discrimination, and protecting users. This study evaluates a hate speech classification model using SVM with linear and polynomial kernels. The dataset used consists of labeled Indonesian-language tweets. The importance of developing an effective classification model to address hate speech has led to the utilization of DistilBERT as a feature extraction method. However, DistilBERT has high-dimensional features, necessitating dimensionality reduction to reduce model complexity. Therefore, in this study, the PCA dimensionality reduction method is implemented with various scenarios of dimensionality, namely 10, 20, 30, 40, and 50. Evaluation is performed using F1-Score, and the entire study is evaluated using 10-fold cross-validation. The evaluation results indicate that in the scenario with a linear kernel, the model achieves the highest F1-Score of 0.75 in the 50-dimensional scenario. Meanwhile, in the scenario with a polynomial kernel, the model achieves the highest F1-Score of 0.7857 in the 50-dimensional scenario. These findings demonstrate that the use of a polynomial kernel with 50 dimensions yields the best performance in classifying hate speech.