RANCANG BANGUN SISTEM PENENTUAN I’RAB DAN KEDUDUKAN KALIMAT BAHASA ARAB MENGGUNAKAN ALGORITMA BEST-FIRST SEARCH BERBASIS ITERATIVE WATERFALL

Ahmad Ali Sidqi Abdurrohman, NIM.: 20106050030 (2024) RANCANG BANGUN SISTEM PENENTUAN I’RAB DAN KEDUDUKAN KALIMAT BAHASA ARAB MENGGUNAKAN ALGORITMA BEST-FIRST SEARCH BERBASIS ITERATIVE WATERFALL. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Many students, university attendees, and religious school students (santri) find it challenging to learn Arabic. In Islamic higher education institutions, passing the TOAFL (Test of Arabic as a Foreign Language) is a requirement for thesis defense, in addition to the TOEFL. Heuristic Search is a selective search method within a state space, designed to guide the search process along the paths with the highest chance of success while avoiding less effective efforts that waste time. This system is developed to facilitate Arabic learning for students, university attendees, and santri who are new to the Arabic language, especially in the study of Nahwu (Arabic grammar). The system employs Best-First Search as its Heuristic Search algorithm due to its fast and efficient process. The software development method used is Iterative Waterfall, as it is well-suited for projects developed by an individual. The development of this system succeeded in making an android application about learning nahwu based on Kitab Imrithi which focuses on determining i'rab and the position of words from Arabic sentences using the Best-First Search Algorithm.

Item Type: Thesis (Skripsi)
Additional Information: Pembimbing: Dr. Ir. Shofwatul 'Uyun, S.T., M.Kom., IPM.
Uncontrolled Keywords: Pelajar, Mahasiswa, Santri, Bahasa Arab, Best-First Search, Iterative Waterfall, Pengembangan Sistem
Subjects: 000 Ilmu Komputer, Ilmu Informasi, dan Karya Umum > 000 Karya Umum > 004 Pemrosesan Data, Ilmu Komputer, Teknik Informatika
900 Sejarah, Biografi, dan Geografi > 910 Geografi dan Perjalanan > 000 Karya Umum > 004 Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: Muh Khabib, SIP.
Date Deposited: 13 Aug 2024 14:42
Last Modified: 13 Aug 2024 14:42
URI: http://digilib.uin-suka.ac.id/id/eprint/66489

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