Designing and Developing Artificial Intelligence Applications Troubleshooting Computers as Learning Aids
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Published:
Jun 25, 2020
Keywords:
Artificial Intelligence Applications; Troubleshooting Computers; Learning Aids
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Abstract
The learning to analyze problems and do improvements on hardware and installation of application software is part of the basic competencies of knowledge and skills of computers and basic networks. Based on observations, the learning process has not been able to provide a real picture of the problems that often occur on computers. The purpose of this study is to design and develop learning aids through artificial intelligence applications on computer troubleshooting. The research method used is R & D (Research and Development) with a 4-D model. The results of the study this is the application being valid, practical and effective. Based on the results of the study, it can be concluded that the application of artificial intelligence to computer troubleshooting has been successfully designed and developed.
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How to Cite
Putra, A. E., Rukun, K., Irfan, D., Engkizar, Wirdati, K, M., Usmi, F., & @Ramli, A. J. (2020). Designing and Developing Artificial Intelligence Applications Troubleshooting Computers as Learning Aids . Asian Social Science and Humanities Research Journal (ASHREJ), 2(1), 38-44. https://doi.org/10.37698/ashrej.v2i1.22
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References
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Desai, V., & Potter, R. (Eds.). (2006). Doing development research. Sage.
Guindon, R. (1990). Knowledge exploited by experts during software system design. International Journal of Man-Machine Studies, 33(3), 279-304.
Izmirli, O. Ş., & Kurt, A. A. (2009). Basic competencies of instructional technologists. Procedia-Social and Behavioral Sciences, 1(1), 998-1002.
Jovanov, M., Stankov, E., Mihova, M., Ristov, S., & Gusev, M. (2016, April). Computing as a new compulsory subject in the Macedonian primary schools curriculum. In 2016 IEEE Global Engineering Education Conference (EDUCON) (pp. 680-685). IEEE.
Jing, Y., Bian, Y., Hu, Z., Wang, L., & Xie, X. Q. S. (2018). Deep learning for drug design: an artificial intelligence paradigm for drug discovery in the big data era. The AAPS journal, 20(3), 58.
Kuhlemeier, H., & Hemker, B. (2007). The impact of computer use at home on students’ Internet skills. Computers & Education, 49(2), 460-480.
Kasmar, I. F., Amnda, V., Mutathahirin, M., Maulida, A., Sari, W. W., Putra, S., ... & Engkizar, E. (2019). The Concepts of Mudarris, Mu'allim, Murabbi, Mursyid, Muaddib in Islamic Education. Khalifa Journal of Islamic Education, 3(2), 107-125.
Korb, K. B., & Nicholson, A. E. (2010). Bayesian artificial intelligence. CRC press.
Murniyetti, M., Engkizar, E., & Anwar, F. (2016). Pola pelaksanaan pendidikan karakter terhadap siswa sekolah dasar. Jurnal Pendidikan Karakter, 6(2).
Mainaki, R., Kastolani, W., & Setiawan, I. (2018, April). School Culture and Ecology. In IOP Conference Series: Earth and Environmental Science (Vol. 145, No. 1, p. 012063). IOP Publishing.
Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann.
Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach.
Sugiyono, D. (2010). Metode penelitian kuantitatif dan R&D. Bandung: Alfabeta.
Tarsito, S. (2014). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Alfabeta. Bandung.
Thiagarajan, S. (1974). Instructional development for training teachers of exceptional children: A sourcebook.
Wibawanto, W., (2017). Desain dan Pemrograman Multimedia Pembelajaran Interaktif. Cerdas Ulet Kreatif Publisher.
Wilson, S. (2002). Information arts: intersections of art, science, and technology. MIT press.
Zurita, G., & Nussbaum, M. (2004). Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & education, 42(3), 289-314.