Tihomir Stefanov, Silviya Varbanova, Milena Stefanova, Ivan Ivanov
The implementation of specialized software in the business supports the processes related to production and employees' activities, and those providing quick access to the necessary information between branches. The need for better business management and closer interaction with customers via the internet underpins the modern CRM systems development. Detailed research of existing CRM systems has established the necessity to design and implement a modern system specialized for the needs of agricultural machinery users in Bulgaria. The report presents a CRM system developed to facilitate information exchange, rapid customer service, synchronization of activities in order to increase agricultural machinery sales with better marketing.
{"title":"CRM System as a Necessary Tool for Managing Commercial and Production Processes","authors":"Tihomir Stefanov, Silviya Varbanova, Milena Stefanova, Ivan Ivanov","doi":"10.18421/tem122-23","DOIUrl":"https://doi.org/10.18421/tem122-23","url":null,"abstract":"The implementation of specialized software in the business supports the processes related to production and employees' activities, and those providing quick access to the necessary information between branches. The need for better business management and closer interaction with customers via the internet underpins the modern CRM systems development. Detailed research of existing CRM systems has established the necessity to design and implement a modern system specialized for the needs of agricultural machinery users in Bulgaria. The report presents a CRM system developed to facilitate information exchange, rapid customer service, synchronization of activities in order to increase agricultural machinery sales with better marketing.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135693403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Zahid Mohammad Sabri, Nazatul Aini Abd Majid, S. A. Hanawi, Nur Izzati Mohd Talib, Ariff Imran Anuar Yatim
Predicting student performance in higher education based on students’ self-efficacy and learning behaviour data is challenging, because the data is changing with time. The potential of using continuous data which is collected weekly needs to be investigated to identify the effectiveness in making predictions of low-performing students. Therefore, this paper presents the analysis of continuous data using the Principal Component Analysis (PCA) and Support Vector Machine (SVM) for predicting student performance. Firstly, we proposed three patterns of the Principal Component (PC) scores to predict the trends of behaviour within a semester. Secondly, we present an analysis of using different combinations of time frames in predicting the performance using the SVM. The obtained results show that three behaviour patterns have been extracted from the Hotelling’s T² values calculated using the PC scores which were fluctuating, ascending, and descending. The use of different time frames using SVM shows different accuracy results in prediction. The use of continuous data indicates that certain data can be predicted at the early stage using multiple time frames.
{"title":"Prediction Model based on Continuous Data for Student Performance using Principal Component Analysis and Support Vector Machine","authors":"Mohammad Zahid Mohammad Sabri, Nazatul Aini Abd Majid, S. A. Hanawi, Nur Izzati Mohd Talib, Ariff Imran Anuar Yatim","doi":"10.18421/tem122-66","DOIUrl":"https://doi.org/10.18421/tem122-66","url":null,"abstract":"Predicting student performance in higher education based on students’ self-efficacy and learning behaviour data is challenging, because the data is changing with time. The potential of using continuous data which is collected weekly needs to be investigated to identify the effectiveness in making predictions of low-performing students. Therefore, this paper presents the analysis of continuous data using the Principal Component Analysis (PCA) and Support Vector Machine (SVM) for predicting student performance. Firstly, we proposed three patterns of the Principal Component (PC) scores to predict the trends of behaviour within a semester. Secondly, we present an analysis of using different combinations of time frames in predicting the performance using the SVM. The obtained results show that three behaviour patterns have been extracted from the Hotelling’s T² values calculated using the PC scores which were fluctuating, ascending, and descending. The use of different time frames using SVM shows different accuracy results in prediction. The use of continuous data indicates that certain data can be predicted at the early stage using multiple time frames.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42755353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Sriadhi, Abdul Hamid, S. Siagian, A. Sutopo, Wisnu Rayhan Adhitya
Competency learning outcomes about electrical protection systems are not optimal, due to several weaknesses in the learning process. This study aims to analyze the effect of multimedia-assisted learning on the concept mastery in protection systems. Subsequently, a quasi-experiment was carried out by integrating the mastery of concepts in the case-method and team-based project learning. The results of the study prove that multimedia-assisted learning is effective in increasing the mastery of concepts. The learning outcomes did not differ between the case method and the team-based project.
{"title":"Virtual Multimedia Assisted Learning with Assignment Models to Improve the Competence of Electrical Protection Systems","authors":"S. Sriadhi, Abdul Hamid, S. Siagian, A. Sutopo, Wisnu Rayhan Adhitya","doi":"10.18421/tem122-57","DOIUrl":"https://doi.org/10.18421/tem122-57","url":null,"abstract":"Competency learning outcomes about electrical protection systems are not optimal, due to several weaknesses in the learning process. This study aims to analyze the effect of multimedia-assisted learning on the concept mastery in protection systems. Subsequently, a quasi-experiment was carried out by integrating the mastery of concepts in the case-method and team-based project learning. The results of the study prove that multimedia-assisted learning is effective in increasing the mastery of concepts. The learning outcomes did not differ between the case method and the team-based project.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46239296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The National Strategy includes a master plan for 20 years in Issue 08, Modern Entrepreneurs: Small and Medium Enterprises (SMEs). The aim is to create and develop Thai entrepreneurs to be "New Generation Entrepreneurs" who keep pace and take advantage of technology and innovation to drive businesses, especially SMEs as business operations, and play an important part in stimulating economic growth and entrepreneurship strength that will help countries compete globally. This research aimed to develop a structural equation model for entrepreneurs' contributions to the success of online businesses and SMEs in Thailand and examine the consistency of the causal relationship model for entrepreneurs' contributions to their success. This research uses a mixed methodology approach that collects and analyzes both qualitative and quantitative research.
{"title":"Modern Entrepreneur for the Success of Online Businesses for Small and Medium Enterprise in Thailand","authors":"Nongnapas Chairaksa, Sumaman Pankham","doi":"10.18421/tem122-42","DOIUrl":"https://doi.org/10.18421/tem122-42","url":null,"abstract":"The National Strategy includes a master plan for 20 years in Issue 08, Modern Entrepreneurs: Small and Medium Enterprises (SMEs). The aim is to create and develop Thai entrepreneurs to be \"New Generation Entrepreneurs\" who keep pace and take advantage of technology and innovation to drive businesses, especially SMEs as business operations, and play an important part in stimulating economic growth and entrepreneurship strength that will help countries compete globally. This research aimed to develop a structural equation model for entrepreneurs' contributions to the success of online businesses and SMEs in Thailand and examine the consistency of the causal relationship model for entrepreneurs' contributions to their success. This research uses a mixed methodology approach that collects and analyzes both qualitative and quantitative research.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43582690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amir-Hamad-Salim Binnashir-Alketbi, Juan-Antonio Jimber-del-Río, A. Ibañez-Fernández, Arnaldo Vergara-Romero
This article introduces the concept of crisis knowledge and communication influencing how stakeholders see the crisis and the organization. During damage control or containment stages, leaders interact with organization employees offering information and guidance and soothe or reassure people. This article also investigates the role of administrative knowledge in crisis administration, an area that has yet to receive much attention from the Human Resource Development (HRD) community. The study found a significant impact of communication and learning on crisis management. Also, the study found that administrative wisdom intervenes in the association between HRD and crisis management. The study didn’t find evidence regarding moderating communication interaction between HRD and Crisis management.
{"title":"Human Resource Development and Crisis Management: The Role of Communication and Learning in the United Arab Emirates","authors":"Amir-Hamad-Salim Binnashir-Alketbi, Juan-Antonio Jimber-del-Río, A. Ibañez-Fernández, Arnaldo Vergara-Romero","doi":"10.18421/tem122-59","DOIUrl":"https://doi.org/10.18421/tem122-59","url":null,"abstract":"This article introduces the concept of crisis knowledge and communication influencing how stakeholders see the crisis and the organization. During damage control or containment stages, leaders interact with organization employees offering information and guidance and soothe or reassure people. This article also investigates the role of administrative knowledge in crisis administration, an area that has yet to receive much attention from the Human Resource Development (HRD) community. The study found a significant impact of communication and learning on crisis management. Also, the study found that administrative wisdom intervenes in the association between HRD and crisis management. The study didn’t find evidence regarding moderating communication interaction between HRD and Crisis management.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42700015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Djuniadi, N. Iksan, Alfa Faridh Suni, A. F. Hastawan
The Coronavirus outbreak (COVID-19) is still a concern for the world according to WHO. Although this virus has been controlled, prevention efforts are still being carried out. Prevention of the virus can be done by identifying patients with symptoms such as fever, respiratory distress, and sore throat. This research aims to develop an early detection system through the recognition of symptoms of COVID-19 infection using thermal camera sensors combined with the DNN using Hyperparameter Tuning. The result is the DNN algorithm can be proposed as the right algorithm to detect someone suspected of COVID-19.
{"title":"Deep Neural Network with Hyperparameter Tuning on Early Detection for Symptom Recognition in Suspected Covid-19","authors":"D. Djuniadi, N. Iksan, Alfa Faridh Suni, A. F. Hastawan","doi":"10.18421/tem122-46","DOIUrl":"https://doi.org/10.18421/tem122-46","url":null,"abstract":"The Coronavirus outbreak (COVID-19) is still a concern for the world according to WHO. Although this virus has been controlled, prevention efforts are still being carried out. Prevention of the virus can be done by identifying patients with symptoms such as fever, respiratory distress, and sore throat. This research aims to develop an early detection system through the recognition of symptoms of COVID-19 infection using thermal camera sensors combined with the DNN using Hyperparameter Tuning. The result is the DNN algorithm can be proposed as the right algorithm to detect someone suspected of COVID-19.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42162234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AI use in higher education raises ethical concerns that must be addressed. Biased algorithms pose a significant threat, especially if used in admission or grading processes, as they could have devastating effects on students. Another issue is the displacement of human educators by AI systems, and there are concerns about transparency and accountability as AI becomes more integrated into decision-making processes. This paper examined three AI objectives related higher education: biased algorithms, AI and decision-making, and human displacement. Discourse analysis of seven AI ethics policies was conducted, including those from UNESCO, China, the European Commission, Google, MIT, Sanford HAI, and Carnegie Mellon. The findings indicate that stakeholders must work together to address these challenges and ensure responsible AI deployment in higher education while maximizing its benefits. Fair use and protecting individuals, especially those with vulnerable characteristics, are crucial. Gender bias must be avoided in algorithm development, learning data sets, and AI decision-making. Data collection, labeling, and algorithm documentation must be of the highest quality to ensure traceability and openness. Universities must study the ethical, social, and policy implications of AI to ensure responsible development and deployment. The AI ethics policies stress responsible AI development and deployment, with a focus on transparency and accountability. Making AI systems more transparent and answerable may reduce the adverse effects of displacement. In conclusion, AI must be considered ethically in higher education, and stakeholders must ensure that AI is used responsibly, fairly, and in a way that maximizes its benefits while minimizing its risks.
{"title":"Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies","authors":"Zouhaier Slimi, Beatriz Villarejo Carballido","doi":"10.18421/tem122-02","DOIUrl":"https://doi.org/10.18421/tem122-02","url":null,"abstract":"AI use in higher education raises ethical concerns that must be addressed. Biased algorithms pose a significant threat, especially if used in admission or grading processes, as they could have devastating effects on students. Another issue is the displacement of human educators by AI systems, and there are concerns about transparency and accountability as AI becomes more integrated into decision-making processes. This paper examined three AI objectives related higher education: biased algorithms, AI and decision-making, and human displacement. Discourse analysis of seven AI ethics policies was conducted, including those from UNESCO, China, the European Commission, Google, MIT, Sanford HAI, and Carnegie Mellon. The findings indicate that stakeholders must work together to address these challenges and ensure responsible AI deployment in higher education while maximizing its benefits. Fair use and protecting individuals, especially those with vulnerable characteristics, are crucial. Gender bias must be avoided in algorithm development, learning data sets, and AI decision-making. Data collection, labeling, and algorithm documentation must be of the highest quality to ensure traceability and openness. Universities must study the ethical, social, and policy implications of AI to ensure responsible development and deployment. The AI ethics policies stress responsible AI development and deployment, with a focus on transparency and accountability. Making AI systems more transparent and answerable may reduce the adverse effects of displacement. In conclusion, AI must be considered ethically in higher education, and stakeholders must ensure that AI is used responsibly, fairly, and in a way that maximizes its benefits while minimizing its risks.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135741441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Equitable regional development is still difficult to implement. Many interests in determining regional development priorities make it difficult to realize the main goals of national development. Political interests and the underutilization of regional statistical data are often other obstacles in carrying out regional development. This study aims to classify regional development data to be used to analyse existing development inequalities. Gross regional domestic income (GRDP) data is the main data in this study. The researcher used the hierarchical agglomerative clustering (HAC) technique. The results of the cluster can be used as a consideration for local governments to determine future regional development priorities. In addition, visualized cluster results in the form of a dendrogram can show the proximity of development inequality between regions.
{"title":"Extracting Patterns of Proximity in Regional Development Inequality Using Hierarchical Agglomerative Clustering","authors":"Tb Ai Munandar, Dwipa Handayani","doi":"10.18421/tem122-11","DOIUrl":"https://doi.org/10.18421/tem122-11","url":null,"abstract":"Equitable regional development is still difficult to implement. Many interests in determining regional development priorities make it difficult to realize the main goals of national development. Political interests and the underutilization of regional statistical data are often other obstacles in carrying out regional development. This study aims to classify regional development data to be used to analyse existing development inequalities. Gross regional domestic income (GRDP) data is the main data in this study. The researcher used the hierarchical agglomerative clustering (HAC) technique. The results of the cluster can be used as a consideration for local governments to determine future regional development priorities. In addition, visualized cluster results in the form of a dendrogram can show the proximity of development inequality between regions.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135832007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aircraft maintenance is an essential part of aviation that ensures the safety of the aircraft, which is achieved by effective communication. Since English is the language of aviation, it is also present in aircraft manuals and other necessary documentation for aircraft maintenance. The data was gathered by means of a questionnaire at the MRO facility in Eastern Slovakia and was processed by the statistical software Jamovi. This research besides other findings revealed that the most common types of communication are; reading the written text and engaging in dialog. This article revealed the importance of continuous training in the English language.
{"title":"Evaluation of Different Types of Communication Used in Aircraft Maintenance","authors":"Ingrid Sekelová, Peter Korba, Samer Al-Rabeei","doi":"10.18421/tem122-37","DOIUrl":"https://doi.org/10.18421/tem122-37","url":null,"abstract":"Aircraft maintenance is an essential part of aviation that ensures the safety of the aircraft, which is achieved by effective communication. Since English is the language of aviation, it is also present in aircraft manuals and other necessary documentation for aircraft maintenance. The data was gathered by means of a questionnaire at the MRO facility in Eastern Slovakia and was processed by the statistical software Jamovi. This research besides other findings revealed that the most common types of communication are; reading the written text and engaging in dialog. This article revealed the importance of continuous training in the English language.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135832203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agustiani Putri, Tia Wahyuningsih, Nabila Salsabil Ananti, Alim Wicaksono, Gharitza Zahira Shofa, A. R. As'ari, Sharifah Osman
Students consider that spatial geometry is tough, they require equipped mastery of concepts and visualized 2D object. This study is addressed to develop and evaluate EUCLIDA card integrated with AR using 4D model. The EUCLIDA card was claimed to satisfy the valid standard, because it achieves a percentage of 90%, from the appraisal data of two specialists and one practitioner. Moreover, EUCLIDA card also fulfills the utility aspects, because it obtained a percentage of 93% based on the outcome of learning activities observed and gained 97% from the student feedback survey on operating EUCLIDA card. It can be concluded that the EUCLIDA card is considered valid and useful.
{"title":"EUCLIDA: 3D Augmented Reality Card for Learning Numeracy about Geometry","authors":"Agustiani Putri, Tia Wahyuningsih, Nabila Salsabil Ananti, Alim Wicaksono, Gharitza Zahira Shofa, A. R. As'ari, Sharifah Osman","doi":"10.18421/tem122-63","DOIUrl":"https://doi.org/10.18421/tem122-63","url":null,"abstract":"Students consider that spatial geometry is tough, they require equipped mastery of concepts and visualized 2D object. This study is addressed to develop and evaluate EUCLIDA card integrated with AR using 4D model. The EUCLIDA card was claimed to satisfy the valid standard, because it achieves a percentage of 90%, from the appraisal data of two specialists and one practitioner. Moreover, EUCLIDA card also fulfills the utility aspects, because it obtained a percentage of 93% based on the outcome of learning activities observed and gained 97% from the student feedback survey on operating EUCLIDA card. It can be concluded that the EUCLIDA card is considered valid and useful.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44655738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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