ANALISA EFEKTIFITAS METODE FORWARD CHAINING DAN BACKWARD CHAINING PADA SISTEM PAKAR

Penulis

  • Ibnu Akil AMIK BSI Jakarta

DOI:

https://doi.org/10.33480/pilar.v13i1.12

Kata Kunci:

Backward Chaining, Forward Chaining, Sistem Pakar

Abstrak

The use of forward-chaining and backward-chaining in an expert system is something usual. Where forward-chaining is a data-driven algorithm, while backward-chaining is goal-driven. Both methods are usually used for reasoning. Here, the writer will analyze effectively both method in their using for an expert system.

Unduhan

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Biografi Penulis

Ibnu Akil, AMIK BSI Jakarta

Kelahiran Jakarta 15 Januari   1980.  Magister   Ilmu Komputer Program Pasca Sarjana Nusamandiri. Bekerja sebagai   Dosen   di   AMIK  BSI dan Konsultan IT.

Referensi

Ajlan, A. (2015). The Comparison Between Forward and Backward Chaining. International Journal of Machine Learning and Computing, 106-113.

Hunt, D. (1986). Artificial Intelligence & Expert System Source Book. New York: Chapman and Hall.

Russel, S., & Norvig, P. (2010). Artificial Intelligent A Modern Approach Third Edition. New Jersey: Pearson Education.

Sharma, T., Tiwari, N., & Kelkar, D. (2012). Study of Difference Between Forward and Backward Reasoning. Ijetae, 271-273.

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Diterbitkan

2018-09-15

Cara Mengutip

Akil, I. (2018). ANALISA EFEKTIFITAS METODE FORWARD CHAINING DAN BACKWARD CHAINING PADA SISTEM PAKAR. Jurnal Pilar Nusa Mandiri, 13(1), 35–42. https://doi.org/10.33480/pilar.v13i1.12

Terbitan

Vol 13 No 1 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2017

Bagian

Articles

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