PERANCANGAN INTELLIGENT TUTORING SYSTEM UNTUK PEMBELAJARAN JARINGAN KOMPUTER

Aris Budianto, Rosihan Ari Yuana

Abstract


Proses pembelajaran mata kuliah Jaringan Komputer di prodi Pendidikan Teknik Informatika (PTIK), Fakultas Keguruan dan Ilmu Pendidikan (FKIP), Universitas Sebelas Maret (UNS) terjadi sebuah gap antara Mahasiswa dari SMA dan SMK. Sebagian mahasiswa dengan latar belakang SMA belum memiliki konsep-konsep dasar Jaringan Komputer, sedangkan mahasiswa dari SMK sudah pada tahap sudah jauh lebih advance. Untuk menjembatani hal tersebut maka salah satu solusi yang bisa diimplementasikan adalah sebuah e-learning yang menyediakan sistem pembelajaran mandiri. E-learning yang dikembangkan akan menyediakan materi yang lengkap, latihan dan dan video tutorial. Pada penelitian ini, berbeda dengan E-Learning konvensional yang bersifat sama (flat) untuk setiap pengguna, E-Learning yang akan dikembangkan dilengkapi dengan Machine Learning metode Naïve bayes. Machine Learning akan membantu proses pembelajaran dengan pendekatan one-to-one, dimana sistem akan memiliki kemampuan mendeteksi kemampuan mahasiswa yang menggunakan E-Learning. Sistem menyesuaikan materi dan latihan sesuai dengan kemampuan pengguna dalam proses belajar mandiri. Dengan tutorial yang bertahap dan pendekatan yang berbeda dalam proses belajar setiap siswa diharapkan mampu meningkatkan pemahaman siswa mengenai mata kuliah Jaringan Komputer di PTIK, FKIP, UNS.


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References


Epignosis LLC, Elearning Concepts, Trends, Applications. San Francisco, California: Epignosis LLC, 2014.

K. Campbell, E-ffective writing for e-learning environments, First. Hershey: Information Science Publishing, 1995.

V. Arkorful and N. A. Abaidoo, “The role of e-learning, advantages and disadvantages of its adoption in higher education.,” Int. J. Instr. Technol. Distance Learn., vol. 12, no. 1, pp. 29–43, 2015.

Stephanie Carmichael, “Is Google Classroom a virtual classroom or LMS?,” http://www.classcraft.com, 2017. [Online]. Available: http://www.classcraft.com/blog/features/google-classroom-virtual-classroom-lms/. [Accessed: 20-Mar-2018].

C. Weiss, “Moodle: Pros, Challenges,” elearninfo247.com, 2010. [Online]. Available: https://playxlpro.com/pros-cons-using-moodle-learning-management-system/. [Accessed: 20-Mar-2018].

C. Pappas, “Google Classroom Review: Pros And Cons Of Using Google Classroom In eLearning,” https://elearningindustry.com, 2015. [Online]. Available: https://elearningindustry.com/google-classroom-review-pros-and-cons-of-using-google-classroom-in-elearning. [Accessed: 20-Mar-2018].

H.-L. Thanh-Nhan, L. Huy-Thap, and N. Thai-Nghe, “Toward integrating social networks into Intelligent Tutoring Systems,” in International Conference on Knowledge and Systems Engineering(KSE), 2017, pp. 112–117.

A. Budianto and A. A. Puspitaningrum, “Implementation of Schools ’ s Learning Process using Intelligent Tutoring System In Indonesia : A Literature Review,” no. x, 2018.

M. Yazdani, “Intelligent tutoring An overview,” Expert Syst., vol. 3, no. 3, pp. 140–144, 1986.

T. Crow, A. Luxton-Reilly, and B. Wuensche, “Intelligent Tutoring Systems for Programming Education: A Systematic Review,” in 20th Australasian Computing Education Conference, 2018, no. 10, pp. 53–62.

P. Ognjenović, “Experimental verification of the effectiveness of learning and teaching using intelligent tutoring system in secondary school education,” in 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2017.

M. M. Al-Hanjori, M. Z. Shaath, and S. S. Abu Naser, “Learning computer networks using intelligent tutoring system,” Int. J. Adv. Res. Dev., vol. 2, no. 1, pp. 2455–4030, 2017.

C. Koutsojannis, J. Prentzas, and I. Hatzilygeroudis, “A web-based intelligent tutoring system teaching nursing students fundamental aspects of biomedical technology,” in Annual Reports of the Research Reactor Institute, Kyoto University, 2001, vol. 4, pp. 4024–4027.

R. Venkatesh, E. R. Naganathan, and N. U. Maheswari, “Intelligent Tutoring System Using Hybrid Expert System With Speech Model in Neural Networks,” Int. J., vol. 2, no. 1, pp. 12–16, 2010.

R. Aldahdooh and S. S. A. Naser, “Development and Evaluation of the Oracle Intelligent Tutoring System (OITS),” Eur. Acad. Res., vol. 4, no. 10, pp. 8711–8721, 2017.

B. G. H. Al-Bastami, “Design and Development of an Intelligent Tutoring System for C# Language,” Eur. Acad. Res., vol. 9, no. 10, pp. 8795–8809, 2017.

M. M. Hilles and S. S. A. B. U. Naser, “Knowledge-based Intelligent Tutoring System for Teaching Mongo Database,” Eur. Acad. Res., vol. IV, no. 10, pp. 8783–8794, 2017.

R. Zatarain-Cabada, M. L. Barron-Estrada, F. Gonzalez-Hernandez, and H. Rodriguez-Rangel, “Building a Face Expression Recognizer and a Face Expression Database for an Intelligent Tutoring System,” Proc. - IEEE 17th Int. Conf. Adv. Learn. Technol. ICALT 2017, pp. 391–393, 2017.

Harsley R., B., D. E. N., F. Green D., and A. S., “Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System. In: Micarelli A., Stamper J., Panourgia K. (eds) Intelligent Tutoring Systems. ITS,” in SecondWorkshop on AI-supported Education for Computer Science, 2016.

M. L. Barron-Estrada, R. Zatarain-Cabada, R. Oramas-Bustillos, and F. Gonzalez-Hernandez, “Sentiment Analysis in an Affective Intelligent Tutoring System,” Proc. - IEEE 17th Int. Conf. Adv. Learn. Technol. ICALT 2017, pp. 394–397, 2017.

M. P. Prof. Dr. Sugiyono, Metode Penelitian Kuantitatif Kualitatif dan R & D. Bandung: Alfabeta, 2016.

P. D. Roger S. Pressman, Software Engineering A Practitioner’s Approach 7th Ed. New York: McGraw-Hill, 2009.

P. Singh and M. Husain, “Books Reviews using Naıve Bayes and Clustering Classifier,” in Conference: Second International Conference on Emerging Research in Computing, Information, Communication and Applications’(ERCICA-14), 2014, no. January, pp. 886–891.

M. Kantardzic, Concepts, Models, Methods, and Algorithms, Second Edi. New Jersey: John Wiley & Sons, Inc, 2011.




DOI: https://doi.org/10.32520/stmsi.v8i1.411

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