ANALISIS BENTUK KATA KERJA (FI’IL) DALAM BAHASA ARAB PADA KITAB SHOROF KRAPYAK MENGGUNAKAN ALGORITMA DEPTH FIRST SEARCH (DFS)

SULAIMAN MUSTHOFA SALIIM, NIM. 14650036 (2018) ANALISIS BENTUK KATA KERJA (FI’IL) DALAM BAHASA ARAB PADA KITAB SHOROF KRAPYAK MENGGUNAKAN ALGORITMA DEPTH FIRST SEARCH (DFS). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Arabic is the language of the Qur'an and it is one of the international languages that is widely used in the Islamic world. Learning Arabic from the bottom is very important because this language is the foundation of a person in learning Islam. One of the difficulties of understanding the structure of Arabic lies in knowing the shape of the verb. Errors in determining the form of words often occur, so that they will affect the meaning. To overcome this shorof science is used to help determine the shape of the word and its rules. Shorof Praktis Krapyak is one of the books that studies shorof in determining the form of words and their rules properly. Based on this background, this research was conducted to build a system for determining the form of words and their rules by implementing Artificial Intelligence, especially with the Depth First Search method which is expected to be able to present the rules in shorof science into a programming language. Based on the test results that researchers did with 100 word samples, resulting in 100% accuracy, shows that this system was able to run properly. Then for functionality testing, the test results stated that out of 30 respondents said 100% answered yes so that the system was functioning properly. Meanwhile the usability test questionnaire results taken from 30 respondents, stated that 55.0% are strongly agrees, 41.6% are agreed and 3.3% choose neutral, that this system can help learning shorof in analyzing verb forms in Arabic words.

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