Superior Competence Research Articles

Mapping the Spectrum of Expertise of Graduates from the Electrical Engineering Education Study Programme at Universitas Negeri Padang

Upon graduation, the aim of education graduates is to become qualified educators capable of meeting the needs of education, society, and industry. Graduates of the Electrical Engineering Education Study Programme are expected to possess superior competence and provide solutions to societal problems. The research conducted is descriptive in nature, utilising a qualitative approach. The study was carried out at the Faculty of Engineering, State University of Padang. The research instrument comprised documents such as course outlines, course synopses, and syllabi in Electrical Engineering Education at Padang State University. Data was collected through interviews and documentation. The study aimed to create a mapping of Electrical Engineering Education courses at Padang State University. The UNP Electrical Engineering Education program requires students to complete a set number of courses each semester. In semester 1, students must complete 22 SKS; in semester 2, 22 SKS; in semester 3, 22 SKS; in semester 4, 19 SKS; in semester 5, 22 SKS; in semester 6, 20 SKS; in semester 7, 8 SKS; and in semester 8, 10 SKS of final courses. The requirement for Semester Credit Units for Electrical Engineering Education students at Padang State University is 145 credits.

Advanced virtual modelling aided stochastic nonlinear dynamic stability analysis of the GPLR-FGP plate in thermal environments

This paper explores the crucial yet challenging task of stochastic nonlinear dynamic buckling investigations of the GPLR-FGP plate under biaxial impacts in thermal environments with multi-dimensional uncertainties for the first time. An advanced virtual modelling technique, namely the Extended Support Vector Regression (XSVR) with a fresh S-spline polynomial kernel, is newly developed to alternatively depict the underpinned and sophisticated relationship between the inevitable system uncertainties and concerned nonlinear buckling response in an efficient fashion. Adequate statistical information of stability performance is furnished for the safety assessment and reliability-based design of the GPLR-FGP composite. The superior competence, advisable exactness, and appealing efficiency of the proposed uncertainty quantification framework are vividly demonstrated through benchmark tests and comprehensive numerical experiments against established machine learning algorithms. Moreover, the user-friendly modularity feature, and unique capabilities of expeditious information update and responsiveness highlight the versatile applicability of the proposed technique in realistic structural implementation under swiftly changing environments.

Automatic Seizure Detection Using Multi-Input Deep Feature Learning Networks for EEG Signals

Epilepsy, a neurological disease associated with seizures, affects the normal behavior of human beings. The unpredictability of epileptic seizures has caused great obstacles to the treatment of the disease. The automatic seizure detection method based on electroencephalogram (EEG) can assist experts in predicting seizures to improve treatment efficiency. Epileptic seizure detection cannot be achieved accurately using the single-view characteristics of the signals. Moreover, manual feature extraction is a time-consuming task. To design a high-performance seizure identification method, automatic learning of multi-view features becomes an indispensable part for seizure detection. Therefore, the paper proposes a multi-input deep feature learning networks (MDFLN) model, which comprehensively considers the features from the time domain and the time–frequency (TF) domain for EEG signals. The MDFLN model automatically extracts the feature information of the signals through deep learning networks. Then, the bidirectional long short-term memory (BLSTM) network is used to distinguish seizure and nonseizure events. Furthermore, the effectiveness of the proposed network structure is verified in two public datasets. The experimental results demonstrate that the classification accuracy of the proposed method based on multi-view features is at least 2.2% higher than the single-view features. The MDFLN achieves better performance on CHB-MIT and Bonn datasets with accuracy of 98.09% and 98.4%, respectively. The fine-tuned model with the validation set also improves the classification performance. Compare with the state-of-the-art seizure detection methods, the multi-input deep learning network has superior competence with high sensitivity on the CHB-MIT dataset. The proposed automatic seizure detection method can reduce time consumption and effectively assist experts in the clinical diagnosis and treatment.

The relationship and diagnostic efficacy of N-terminal propeptide type III collagen in pathological changes associated with non-alcoholic steatohepatitis.

This study delves into the role of N-terminal propeptide type III collagen (PIIINP) in the diagnosis and management of liver pathological changes associated with non-alcoholic steatohepatitis (NASH). We collected baseline information, pathological data, and serum PIIINP levels of 168 patients diagnosed with non-alcoholic fatty liver disease (NAFLD) via ultrasound imaging in our hospital. Based on the non-alcoholic fatty liver disease activity score (NAS), patients with different NAFLD patterns were divided into a Definite NASH group and a Not/borderline group. Differences in PIIINP levels and pathological features between the two groups were compared and analyzed. The diagnostic value of PIIINP for NASH was evaluated using the receiver operating characteristic (ROC) curve. Patients with NASH exhibited significantly higher values of homeostatic model assessment for insulin resistance (HOMA-IR), fibrosis biomarker fibrosis-4 (FIB-4), aminotransferase-to-platelet ratio index (APRI), and serum PIIINP levels than those classified as Not/borderline. A marked increase in the serum concentrations of PIIINP was observed with the severity of fatty degeneration, lobular inflammation, and hepatocellular ballooning. The AUC of PIIINP for diagnosing definite NASH was 0.766 (95% CI: 0.694, 0.839), APRI was 0.634 (95% CI: 0.549, 0.718), and FIB-4 was 0.621 (95% CI: 0.534, 0.708). The AUC of PIIINP for diagnosing definite NASH was significantly higher than that of APRI and FIB-4 (all p<0.05). Utilizing the predetermined threshold values for diagnostic parameters, the PIIINP measure demonstrated a sensitivity of 71.6% and a specificity of 73.6% in diagnosing definitive NASH when its value exceeded 7.72 ng/dL. This yielded a Youden index of 0.45. Similarly, when the APRI measure exceeded 0.21, it exhibited a sensitivity of 60.5% and a specificity of 63.2%, resulting in a Youden index of 0.24. Moreover, when the FIB-4 index surpassed 0.26, it showed a sensitivity of 46.9% and a specificity of 79.3%, culminating in a Youden index of 0.26. NASH patients in this study exhibited significantly elevated PIIINP serum levels, which were closely associated with hepatocyte pathological changes. PIIINP demonstrated superior competence in diagnosing NASH than APRI and FIB-4 and thus offers a viable alternative for the clinical diagnosis of NASH.

Project-based Learning Model to Support 21st Century Learning: Case Studies in Vocational High Schools

Vocational education is one of the educational institutions that has a high concern for producing graduates with superior competence and competitiveness. The variety of competencies needed in the business and industrial world (DUDI) makes institutions such as vocational and vocational schools have to always innovate in order to be able to provide competences that are truly aligned with DUDI needs. One of them is through the application of innovative learning models which are expected to bring effects and changes to the learning climate. This research is to analyze supporting and inhibiting factors in the implementation of Project Based Learning in Vocational Education, and to identify the understanding of some Educators of PjBL both conceptually and practically. This research is included in the type of qualitative research, and will take a sample of 6 (six) teaching staff in vocational schools, with data collection techniques namely interviews, observation, questionnaires and documentation. Research finding data will be analyzed interactively and described to provide an overview of actual field events. Research results prove that project-based learning can run optimally due to the support of all school members, and commitment from teachers in learning activities. Students are also seen to be very active and skilled in completing a given project. Through the application of project-based learning, it is hoped that students can learn actual competencies or skills. It is hoped that through the results of this research, educators and vocational schools can use the project-based learning model (PjBL) as a learning model that is still relevant to the current curriculum implementation.

Competence and affect self-concepts of elementary school children – Do gender and immigration background play a role?

ABSTRACT By focusing on 179 elementary school children, the present cross-sectional questionnaire study aimed to examine gender and immigrant-native differences in competence and affect self-concepts as well as academic achievement and the relations of those two self-concept components to academic achievement in the domains of mathematics and German. Results of analysis of variance showed that boys’ competence self-concept in mathematics was more positive than that of girls, while girls’ affect self-concept in German was more positive than that of boys. Immigrant children showed a higher affect self-concept in German than native-born peers. Boys’ superior competence self-concept in mathematics was more pronounced for native-born children than immigrant peers, whereas immigrant girls’ competence self-concept in mathematics was more pronounced than that of native-born girls. Competence self-concepts were more highly related to academic achievement than affect self-concepts.

Strategi Meningkatkan Kapasitas Mahasiswa dalam Berorganisasi

The increase in population accompanied by the weak competence of university graduates has caused the unemployment rate in Indonesia to increase quite significantly. This of course requires students as the nation's next generation to have superior competence to contribute to bringing about a change, therefore it is necessary to increase the capacity of students in order to prepare themselves as the hope for the nation in the future. Student organizations are a place that is able to develop students' capacity to be better, through participation in organizations, students can develop the competencies that exist in themselves. This study aims to analyze the capacity building that students have when they participate in an organization. The method used in this study is qualitative with a descriptive analysis approach. This research was conducted at the Islamic Education Management Student Association as one of the intra-campus student organizations. The results of the study show that students who are actively involved in organizations have superior competence compared to students who are only active in the academic field. In the process students can develop some of the competencies they have within the organization including: (1) practicing Critical Thinking skills (2) Building student Character (3) Increasing Solidarity and (4) Practicing Leadership skills

MILLENNIAL HUMAN CAPITAL DEVELOPMENT STRATEGY MODEL IN IMPROVING BUSINESS PERFORMANCE

Trends in achieving national banking performance in the 2017-2022 period tend to fluctuate. This is evidenced by financial report data that contains performance and financial ratios of national banking with indicators with unstable trends. Creativity, technological advances, superior com-petence and business attitudes to add value proposition to compete in the banking industry are not only related to products and processes, but also related to the company's human capital man-agement and have a positive influence on improving business performance. The research method uses quantitative research with descriptive and verification research types. The research instru-ment used a questionnaire and data analysis techniques to determine the correlative relationship in this study using Partial Least Square. The results of the study show that Business Performance with a dominant dimension, namely Non-Financial Performance, is strongly influenced by the Work Engagement Program with a dominant dimension, namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital. namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital. namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital.

Learning to find the meaning of life as educational pillar innovation beyond the unesco concept

Education is essentially an effort to actualize and develop various potential student personalities, both related to physical and mental aspects. In order for education to produce outputs that have superior competence in dealing with various problems and realities of life, UNESCO formulates 4 (four) pillars of education as a support for the education system, namely: (1) learning to know; (2) learning to do; (3) learning to be; and 4) learning to live together. However, according to the author, these pillars are not sufficient to support one's personality in achieving happiness. Because happiness is closely related to the ability to give true meaning to the reality of life that comes from spiritual intelligence. On that basis, through this literature study the authors conducted an analysis of 1 (one) pillar of education, namely learning to find the meaning of life, as an innovation pillar of education outside the UNESCO concept. This study is expected to complement and perfect the pillars of education into 5 (five) pillars, namely; (1) learning to know; (2) learning to do; (3) learning to be; (4) learning to live together; and (5) learning to find the meaning of life.

Automatic Epileptic Seizure Detection Using PSO-Based Feature Selection and Multilevel Spectral Analysis for EEG Signals

Automatic epileptic seizure detection technologies for clinical diagnosis mainly rely on electroencephalogram (EEG) recordings, which are immensely useful tools for epileptic location and identification. Currently, traditional seizure detection methods based only on single-view features have great limitations for the typical dynamic and nonlinear EEG signals. An objective of this paper is to investigate the effect of multiview feature selection and multilevel spectral analysis methods on the identification of the EEG signals for seizure detection. Here, multiview features are extracted from time domain, frequency domain, and information theory to collect adequate information of EEG signals. And a feature selection algorithm based on particle swarm optimization (PSO) is proposed for automatic seizure detection. Moreover, due to the different frequency components of the EEG signals, they are divided into four kinds of brain waves for multilevel spectral analysis. The effect of these four rhythm waves on seizure detection is compared. Three well-known classifiers are employed to classify EEG signals concerning seizure or nonseizure events. The result shows that the average accuracy, specificity, and sensitivity of classification with the CHB-MIT database are 98.14%, 98.64%, and 96.79%, respectively. The application of the PSO-based feature selection method for automatic seizure detection improves accuracy by 5.99% with the SVM classifier. Compared with the state-of-the-art methods, the proposed method has superior competence with high performance for automatic seizure detection. It is further shown that the feature selection method is an indispensable step in seizure detection. With PSO-based feature selection and multilevel spectral analysis, the θ wave in the frequency range of 4-7 Hz shows better performance in the identification of EEG signals and is more suitable for the proposed method. The PSO-based feature selection algorithm for automatic seizure detection can be a useful assistant tool for clinical diagnosis.

PENGARUH K3 (KESELAMATAN DAN KESEHATAN KERJA) DAN KOMPETENSI SUMBER DAYA MANUSIA TERHADAP KINERJA KARYAWAN PADA PT. BAMBANG DJAJA

This research intended to determine the impact of occupational safety&amp;health and human resource competence towards employee performance at PT. Bambang Djaja. Quantitative approach used through simple random sampling technique with total 100 sample employees of PT. Bambang Djaja. The study takes data by distributing questionnaires. Some variables used independent variable, K3 (Occupational Safety and Health) (X1), Human Resource Competence (X2), and the dependent variable, Employee Performance (Y). The analytical tool used Partial Least Square (PLS) model. The results show there is a significants and positive affects between occupational safety&amp;health and human resource on employee performance. The better the implementation of K3 and the superior competence possessed by employees, help the greatest performance of employees at PT. Bambang Djaja.

Persepsi Siswa Terhadap Kompetensi Calon Guru Matematika Pada Praktik Magang Blended Learning

Along with the easing of the covid-19 pandemic situation, learning is held directly using a blended learning model. A mathematic teacher candidate is required to be able to adapt to the development of learning conditions before actually becoming a professional teacher with superior competence. This study aims to describe student’s perceptions of the competence of mathematic teacher candidate in the practice of blended learning internships. The qualitative description approach in this research analyzed 68 student respondents in the first semester of 2021-2022 at one of vocational high school in Salatiga. The results showed that students’ perceptions of the competence of mathematic teacher candidate were in the very good category in the four aspects of pedagogic competence, namely mastery of student characteristics, educational learning activities, potential development, and communication with students. Likewise for aspects of personality competence or exemplary, social attitude competence, and professional competence or material mastery at very good category level. Careful preparation and planning focus with no other workloads during and before teaching only to two practical classes will have different implementations later when actually become a mathematic teacher.

Engineered Bdellovibrio bacteriovorus: A countermeasure for biofilm-induced periodontitis

Periodontitis is caused by subgingival plaque biofilm mainly composed of Gram-negative bacteria, affecting human populations at a high prevalence. Antibiotics therapy is the traditional method for periodontitis, but its efficiency in removing plaque biofilm is limited. With the aim to find an effective therapeutic method to treat periodontitis, we reported a material-assistant micro-organism (MAMO) strategy to eradicate Gram-negative bacteria biofilm using ZnO nanorods engineered Bdellovibrio (ZnO@Bdello). Bdellovibrio bacteriovorus is a natural Gram-negative bacteria predator with strong motility. ZnO nanorods are a kind of common piezoelectric material that senses mechanical pressure and produces reactive oxygen species (ROS). During the predation process of Bdellovibrio, the collision of Bdellovibrio triggered ZnO nanorods to produce ROS to enhance the removal of plaque biofilm. Both in vitro and in vivo studies showed ZnO@Bdello could remove biofilm effectively. In addition, ZnO@Bdello possessed superior competence in alleviating inflammation and inhibiting bone resorption in rats and rabbit periodontitis models. Importantly, this strategy does not induce detectable pathogen resistance and side effects.

SUPPORTING SUPERIOR COMPETENCY OF LECTURERS FOR EXCELLENT PERFORMANCE OF LECTURERS OF MANAGEMENT S1 STUDY PROGRAM AT A PRIVATE UNIVERSITY IN BANDUNG METROPOLITAN

Bandung Metropolitan has Private Universities that have Management Study Programs with A accreditation as many as 5 universities, while 8 other private universities (61.53%) only have B and C accreditations. This information shows that there is a problem with the organizational performance of the Management Study Program. Wirawan ( 2020) explains that organizational performance is influenced by individual performance. Based on Wirawan's opinion, the author conducted research on the performance of the Management S1 Study Program lecturers. Yuniarsih (2017) explains that superior performance is influenced by individual superior competence. Armed with the opinion of Wirawan (2020) and Yuniarsih (2017) the authors conducted research on the influence of superior competence of lecturers on superior performance of lecturers in the Management Study Program of Private Universities in Bandung Metropolitan. The total population is 404. A sample of 201 is determined by the Slovin formula. Research proves that there is a positive and significant influence of superior competence on superior performance of lecturers, with an estimate value of 0.640 and a probability value of 0.000 &lt;0.05. If you want to improve the superior performance of lecturers, what must be improved first is the superior competence of lecturers, by improving the dimensions of competence pedagogic. Improvement of pedagogic competence is carried out by improving the way of communicating with students, as well as improving skills using teaching and learning process methods that are in accordance with the online learning process. The superior performance of lecturers is improved by improving the dimensions of community service performance. Improvements in community service are carried out by solving problems in the lecturer village, presented in the community service report. Servant The Community Report is presented in the community service journal.

CHARACTER EDUCATION IN ONLINE LEARNING DURING THE COVID-19 PANDEMIC

Abstract&#x0D; &#x0D; Strengthening character education plays an important role in shaping the character of students. A great nation is a nation that has a strong human resource character side by side with superior competence. Character education is a process of applying moral and religious values ​​to students through science, the application of these values ​​to oneself, family, fellow friends, educators and the surrounding environment as well as God Almighty. The presence of the media in the world of education, especially in the context of teaching effectiveness and efficiency is very much needed. The development of the social character of elementary school-aged children has increased, from initially only socializing with family at home, then gradually getting to know the people around them.&#x0D; Keywords: Character Education; Daring learning; Covid 19

ISO 9001:2008 Quality Management System In Education

Society has very high hopes for education. With education, people hope to have a better life. Agae education is able to meet the great expectations of society, the world of education requires quality assurance to maintain the results of the implementation of education. Quality assurance in education will direct the world of education to achieve educational goals. Educational institutions are expected to be able to produce Indonesian Human Resources who are competent in their fields. Human Resources who have superior competence will bring the Indonesian nation to become a developed and great nation. Education quality assurance with the ISO 9001:2008 Quality Management System is expected to be able to maintain the quality and improve the quality of education. Increasing the quality of education will improve the quality of educational products. &#x0D;

Evaluation of the Professional Competency of University Faculty Members as Perceived by Higher Education Students

This study considered the importance of professionalism in university faculty performance since effective learning has its basis the superior instructional and professional competence of teachers. The purpose of the study was to attempt to suggest a hybrid model of faculty effectiveness evaluation based on the perceptions of higher education students regarding their faculty’s quality of teaching. The research focused on involving higher education students in determining the effectiveness characteristics of their teachers in order to provide a justification for developing effective operational systems for teacher evaluation in Pakistan. The study used a mixed methods research design comprising both quantitative and qualitative methods for the purpose of data collection and analysis. To address the research problem, the researcher chose to base the theoretical framework for the research on Marsh’s (1982) research and development of the Student Evaluation of Educational Quality (SEEQ) questionnaire. Further to this, the researcher developed the conceptual framework through the research of Gurney and Wise (2002) from where the criteria for evaluating the effective teacher questionnaire emerged having characteristics similar to those in the SEEQ and was used to attempt to bridge the time gap and establish the validity of the SEEQ over more than three decades. The data was gleaned from using both questionnaires from a sample of n= 395 under two-tailed probability distribution. All constructs’ reliability was above the criteria suggested by different scholars rendering the SEEQ questionnaire as reliable for the study.

Understanding human resources management strategy in implementing good government practice: what research evidence say

Understanding human resource development strategies in good governance service practices are essential. For this reason, we have reviewed several study pieces of evidence to add to the enrichment of our study. The reading sources we are looking for are data-based sources from Google scholars, ERIC publications, and other literature sources. Furthermore, we take the analysis stage by involving the coding system, evaluation, data extract, in-depth interpretation, and drawing conclusions that are valid findings and high reliability because these findings have answered the questions and danced the hypothesis of this study. We depend on secondary data and descriptive qualitative study designs. Based on the discussion of the findings data, we can conclude that the HR governance strategy working in public service organizations is not only required for superior competence, technical skills, and mastery of the underlying laws and regulations, but they are state apparatuses that are even more crucial in shaping mental and behavioral professional, friendly in nurturing, honest, sympathetic, wise, intelligent, and highly responsible.

Implementation of Appropriate Marketing and Sales Strategies in Improving Company Performance and Profits

Every company has a goal of getting a specific profit or as much as possible and maintaining or even trying to increase it for the long term. This goal can be realized if the sale can be carried out as planned. Thus it does not mean that the goods or services sold will always generate profits, so the above factors must receive full attention for the company. Superior competence in understanding customers and, therefore, the opportunity to provide satisfaction to customers and the ability to recognize competitors' movements. Companies that manage to control the market and this arena are called market-driven firms that balance these two orientations well to produce better marketing performance than companies with other directions. Coordination between the company's functions as an effort, for example, to share information about customers and competitors with all tasks better to face the growing competition from time to time.

Implementation of Appropriate Marketing and Sales Strategies in Improving Company Performance and Profits

Every company has a goal of getting a specific profit or as much as possible and maintaining or even trying to increase it for the long term. This goal can be realized if the sale can be carried out as planned. Thus it does not mean that the goods or services sold will always generate profits, so the above factors must receive full attention for the company. Superior competence in understanding customers and, therefore, the opportunity to provide satisfaction to customers and the ability to recognize competitors' movements. Companies that manage to control the market and this arena are called market-driven firms that balance these two orientations well to produce better marketing performance than companies with other directions. Coordination between the company's functions as an effort, for example, to share information about customers and competitors with all tasks better to face the growing competition from time to time.