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  • 1
    Online Resource
    Online Resource
    Sufi Education Efforts in the Development of Modern Psychology
    LP2M IAIN Pekalongan ; 2020
    In:  HIKMATUNA: Journal for Integrative Islamic Studies Vol. 6, No. 1 ( 2020-06-15), p. 12-24
    Details
    In: HIKMATUNA: Journal for Integrative Islamic Studies, LP2M IAIN Pekalongan, Vol. 6, No. 1 ( 2020-06-15), p. 12-24
    Abstract:   Modern psychology tends to study human development in a negative way; whereas the scope of research in positive human development should be taken into account. For the purpose of psychological development, the field of Sufi education needs to be considered. The four most important subjects in Sufi education are faith, worship, customs and virtue, all four of which are key factors in the purification of the soul. In modern times, human life tends to be based on the philosophy of socio-capitalism; which has made the human lifestyle increasingly materialistic-hedonistic. As a result, crime and mental illness increase. Sufi education appears to be very relevant in addressing issues of material progress and social relations. This is because humans as unique beings need not only material things, but spirituality as well where both require balance. Through commitment and the Sufi exercises, the human potential is able to move towards positive instead of negative. But one thing to note for further study is the self-disclosure (tajalli) process in Sufi thought; which is very abstract at its height. Therefore, the measure of knowing the level of happiness is very speculative. Qualitative research is needed to determine the appropriate size.
    Type of Medium: Online Resource
    ISSN: 2503-3042 , 2460-531X
    URL: Issue
    URL: Article
    DOI: 10.28918/hikmatuna.v6i1
    DOI: 10.28918/hikmatuna.v6i1.2195
    Language: Unknown
    Publisher: LP2M IAIN Pekalongan
    Publication Date: 2020
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  • 2
    Online Resource
    Online Resource
    FACTORS ASSOCIATED WITH SCHOOL REFUSAL BEHAVIOUR IN PRIMARY SCHOOL STUDENTS
    Muallim Social Science and Humanities Society ; 2019
    In:  Muallim Journal of Social Science and Humanities
    Details
    In: Muallim Journal of Social Science and Humanities, Muallim Social Science and Humanities Society
    Abstract: The aim of this study was to identify the factors associated with school refusal behavior in primary school students. Student’s self-report and teacher’s measures were implemented; and students were recruited from 20 primary schools in six districts in Selangor, Malaysia. The survey was conducted at the end of school term in 2016, with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Pearson correlation shows a significant relationship between academic achievement and school satisfaction toward school refusal behavior. The findings of this study suggest that academic difficulties and dissatisfaction towards school environment could be the important risk factors for school refusal behavior. The present study underscores the importance of early detection and intervention as measures to reduce school refusal. Finally, the findings imply that the role of school factors should always be taken into account in connection with school refusal behaviour.
    Type of Medium: Online Resource
    ISSN: 2590-3691
    URL: Journal
    DOI: 10.33306/2590-3691
    DOI: 10.33306/mjssh/3/3/1
    Language: English
    Publisher: Muallim Social Science and Humanities Society
    Publication Date: 2019
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    Online Resource
  • 3
    Online Resource
    Online Resource
    FACTORS ASSOCIATED WITH SCHOOL REFUSAL BEHAVIOUR IN PRIMARY SCHOOL STUDENTS
    Muallim Social Science and Humanities Society ; 2019
    In:  Muallim Journal of Social Science and Humanities
    Details
    In: Muallim Journal of Social Science and Humanities, Muallim Social Science and Humanities Society
    Abstract: The aim of this study was to identify the factors associated with school refusal behavior in primary school students. Student’s self-report and teacher’s measures were implemented; and students were recruited from 20 primary schools in six districts in Selangor, Malaysia. The survey was conducted at the end of school term in 2016, with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Pearson correlation shows a significant relationship between academic achievement and school satisfaction toward school refusal behavior. The findings of this study suggest that academic difficulties and dissatisfaction towards school environment could be the important risk factors for school refusal behavior. The present study underscores the importance of early detection and intervention as measures to reduce school refusal. Finally, the findings imply that the role of school factors should always be taken into account in connection with school refusal behaviour.
    Type of Medium: Online Resource
    ISSN: 2590-3691
    URL: Journal
    URL: Article
    DOI: 10.33306/2590-3691
    DOI: 10.33306/2590-3691/1
    Language: English
    Publisher: Muallim Social Science and Humanities Society
    Publication Date: 2019
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Construction of Business Intelligence Model for Information Technology Sector with Decision Support System
    Inventive Research Organization ; 2022
    In:  Journal of Information Technology and Digital World Vol. 3, No. 4 ( 2022-3-14), p. 259-268
    Details
    In: Journal of Information Technology and Digital World, Inventive Research Organization, Vol. 3, No. 4 ( 2022-3-14), p. 259-268
    Abstract: Understanding and evaluating data is vital for making choices in a system. As the transactional system expands, it becomes increasingly difficult to execute analytical operations directly. Complex and huge datasets seem to be solved by analytical methods and their expansions. A lack of a clear and rigorous technique for measuring the realized value of intelligent business systems continues to be a problem, despite the fact that significant investment is being made in these systems. As a goal of the software program, an inventory management decision support system has been built. The method can be used by medium-sized industries or companies. Finding a suitable solution for the firm's size and adapting to business and decision-maker needs are the goals of this research work. Besides, the suitable solutions are measured and compared with reference data through Information Technology (IT) sectors by error computations. The computation has considered various types of errors in this research article. The proposed decision support system produces excellent results with the least amount of errors in the final output, as shown by the graphical depiction in the results and discussion section.
    Type of Medium: Online Resource
    ISSN: 2582-418X
    URL: Issue
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.36548/jitdw.2021
    DOI: 10.36548/jitdw.2021.4
    DOI: 10.36548/jitdw
    DOI: 10.36548/jitdw.2021.4.002
    Language: English
    Publisher: Inventive Research Organization
    Publication Date: 2022
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  • 5
    Online Resource
    Online Resource
    Estimating the Role of Blockchain, Deep Learning and Cryptography algorithms in Cloud Security
    Inventive Research Organization ; 2022
    In:  Journal of Trends in Computer Science and Smart Technology Vol. 3, No. 4 ( 2022-5-19), p. 305-313
    Details
    In: Journal of Trends in Computer Science and Smart Technology, Inventive Research Organization, Vol. 3, No. 4 ( 2022-5-19), p. 305-313
    Abstract: Cloud network has become very popular in recent days due to its accessibility merits. The data stored in the cloud environment are accessible by the clients from any location. A reliable shielding approach will protect the data stored in the cloud from the hackers and malwares. Blockchain is one of the recent technologies implemented to the cloud network for storing the location of the saved data in an encrypted ledger format. This saves the stored data location without exploring it to the hacker’s algorithm. Hence the hacking algorithm fails by not knowing the location to be targeted. Deep learning is an advanced technique developed to act like that of the human neurological analysis on several problems. Implementation of deep learning algorithm to the cloud security module identifies the movement of malware and spywares in the cloud storage. Similarly the cryptography is an old technique structured to hide the information with a cover data or cover image. It allows the hacking algorithm to extract only the useless data. This paper reviews the recent advancements in the cloud security with blockchain, deep learning and cryptographic models.
    Type of Medium: Online Resource
    ISSN: 2582-4104
    URL: Issue
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.36548/jucct.2021
    DOI: 10.36548/jtcsst.2021.4
    DOI: 10.36548/jtcsst
    DOI: 10.36548/jtcsst.2021.4.006
    Language: English
    Publisher: Inventive Research Organization
    Publication Date: 2022
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  • 6
    Online Resource
    Online Resource
    Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
    Inventive Research Organization ; 2022
    In:  Journal of Ubiquitous Computing and Communication Technologies Vol. 3, No. 4 ( 2022-1-17), p. 253-264
    Details
    In: Journal of Ubiquitous Computing and Communication Technologies, Inventive Research Organization, Vol. 3, No. 4 ( 2022-1-17), p. 253-264
    Abstract: Currently, there is no way soon to stop the coronavirus epidemic that has spread over the globe. People are alarmed by its quick and widespread expansion. COVID-19's transmission chain was then broken by everyone. There was a gradual decrease in social and physical closeness. Distancing yourself from others is a way to prevent the transmission of disease. The purpose of this research is to investigate how online learning can be implemented in Tamil Nadu, India, during the COVID-19 epidemic. This research works focuses to find efficient learning procedure in eLearning protocols. The findings indicated that Google Classroom, WhatsApp, and Zoom Clouds Meeting were consecutively the most commonly utilized programs to help in remote learning. Despite this, most instructors continue to use the learning paradigm while teaching in virtual environments. Online learning and remote education are the most common methods of learning. The instructor claims that the learning model used is beneficial to their work in creating a virtual classroom since it adheres to the model's structured grammar. The experimental test has been conducted with 125 students who anonymously filled out a questionnaire and voted for more visual based eLearning. The findings show that students in distance education believed that there were more tasks than in face-to-face education. At the same time, students indicated that they spent more time studying at home than in school.
    Type of Medium: Online Resource
    ISSN: 2582-337X
    URL: Issue
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.36548/jucct.2021
    DOI: 10.36548/jucct.2021.4
    DOI: 10.36548/jucct
    DOI: 10.36548/jucct.2021.4.002
    Language: English
    Publisher: Inventive Research Organization
    Publication Date: 2022
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  • 7
    Online Resource
    Online Resource
    An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
    Inventive Research Organization ; 2021
    In:  Journal of Soft Computing Paradigm Vol. 3, No. 3 ( 2021-9-20), p. 205-217
    Details
    In: Journal of Soft Computing Paradigm, Inventive Research Organization, Vol. 3, No. 3 ( 2021-9-20), p. 205-217
    Abstract: In recent years, there has been an increase in demand for machine learning and AI-assisted trading. To extract abnormal profits from the bitcoin market, the machine learning and artificial intelligence (AI) assisted trading process has been used. Each day, the data gets saved for the specified amount of time. These approaches produce great results when integrated with cutting-edge algorithms. The results of algorithms and architectural structures drive the development of cryptocurrency market. The unprecedented increase in market capitalization has enabled the cryptocurrency to flourish in 2017. Currently, the market accommodates totally 1500 cryptocurrencies, all of which are actively trading. It is always possible to mine the cryptocurrency and use it to pay for online purchases. The proposed research study is more focused on leveraging the accurate forecast of bitcoin prices via the normalization of a particular dataset. With the use of LSTM machine learning, this dataset has been trained to deploy a more accurate forecast of the bitcoin price. Furthermore, this research work has evaluated different machine learning methods and found that the suggested work delivers better results. Based on the resultant findings, the accuracy, recall, precision, and sensitivity of the test has been calculated.
    Type of Medium: Online Resource
    ISSN: 2582-2640
    URL: Issue
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.36548/jscp.2021
    DOI: 10.36548/jscp.2021.3
    DOI: 10.36548/jscp
    DOI: 10.36548/jscp.2021.3.006
    Language: English
    Publisher: Inventive Research Organization
    Publication Date: 2021
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  • 8
    Online Resource
    Online Resource
    Factors that Motivates the Teacher Trainees of Teacher Training Institutions to Possess an Excellent Personality through Hermeneutic Analysis Method
    Canadian Center of Science and Education ; 2012
    In:  Journal of Educational and Developmental Psychology Vol. 2, No. 2 ( 2012-08-02)
    Details
    In: Journal of Educational and Developmental Psychology, Canadian Center of Science and Education, Vol. 2, No. 2 ( 2012-08-02)
    Type of Medium: Online Resource
    ISSN: 1927-0534 , 1927-0526
    URL: Article
    DOI: 10.5539/jedp.v2n2p97
    Language: Unknown
    Publisher: Canadian Center of Science and Education
    Publication Date: 2012
    detail.hit.zdb_id: 2675624-9
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  • 9
    Online Resource
    Online Resource
    School Refusal Behaviour in Primary School Students: A Demographic Analysis
    Scholink Co, Ltd. ; 2019
    In:  Journal of Asian Research Vol. 3, No. 1 ( 2019-03-05), p. 16-
    Details
    In: Journal of Asian Research, Scholink Co, Ltd., Vol. 3, No. 1 ( 2019-03-05), p. 16-
    Abstract: 〈 em 〉 School Refusal Behaviour (SRB) is an action, which is in another word a child-motivated refusal to attend school or difficulty remaining in class for an entire day. The objective of this study was to identify whether there are any differences in the demographic factors regarding SRB in primary school students in Selangor. Quantitative survey method was adopted as the method of this study. The survey was conducted at the end of school term in 2016, and students were recruited from 20 primary schools in six districts in Selangor with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Demographic measures were implemented and the study showed a high incidence rate of SRB in primary school students in Selangor (94.9%). The analysis showed there were no gender differences although the SRB in both categories were high (M=3.9). Similarly, the study also found there were no significant differences between single parent and two-parents; and low-class and middle-class family with SRB; although the occurrence of SRB in both categories were high. 〈 /em 〉
    Type of Medium: Online Resource
    ISSN: 2575-1581 , 2575-1565
    URL: Article
    DOI: 10.22158/jar.v3n1p16
    Language: Unknown
    Publisher: Scholink Co, Ltd.
    Publication Date: 2019
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  • 10
    Online Resource
    Online Resource
    FACTORS ASSOCIATED WITH SCHOOL REFUSAL BEHAVIOUR IN PRIMARY SCHOOL STUDENTS
    Muallim Social Science and Humanities Society ; 2019
    In:  Muallim Journal of Social Science and Humanities Vol. 3, No. 1 ( 2019-1-2), p. 1-13
    Details
    In: Muallim Journal of Social Science and Humanities, Muallim Social Science and Humanities Society, Vol. 3, No. 1 ( 2019-1-2), p. 1-13
    Abstract: The aim of this study was to identify the factors associated with school refusal behavior in primary school students. Student’s self-report and teacher’s measures were implemented; and students were recruited from 20 primary schools in six districts in Selangor, Malaysia. The survey was conducted at the end of school term in 2016, with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Pearson correlation shows a significant relationship between academic achievement and school satisfaction toward school refusal behavior. The findings of this study suggest that academic difficulties and dissatisfaction towards school environment could be the important risk factors for school refusal behavior. The present study underscores the importance of early detection and intervention as measures to reduce school refusal. Finally, the findings imply that the role of school factors should always be taken into account in connection with school refusal behaviour.
    Type of Medium: Online Resource
    ISSN: 2590-3691
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.33306/2590-3691/3/1
    DOI: 10.33306/2590-3691
    DOI: 10.33306/2590-3691/3/1/1
    Language: English
    Publisher: Muallim Social Science and Humanities Society
    Publication Date: 2019
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