Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran
The Quran represents a form of classical Arabic language which is the Word of Allah for life which is the greatest miracle of the Prophet SAW which contains various sources of knowledge that can be used as a guide to human beings in daily life. In order to understand the meaning of each verse, a dee...
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| id |
my-usim-ddms-12524 |
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| record_format |
uketd_dc |
| institution |
Universiti Sains Islam Malaysia |
| collection |
USIM Institutional Repository |
| language |
en_US |
| topic |
Multi-Relational Latent Lexicology-Semantics Extracting Model Surah al-Hajj ( .(الحَجِّ |
| spellingShingle |
Multi-Relational Latent Lexicology-Semantics Extracting Model Surah al-Hajj ( .(الحَجِّ Sarah Husna binti Mat Rasid Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| description |
The Quran represents a form of classical Arabic language which is the Word of Allah for life which is the greatest miracle of the Prophet SAW which contains various sources of knowledge that can be used as a guide to human beings in daily life. In order to understand the meaning of each verse, a deep knowledge of Arabic linguistics is very important. The scholars have worked by involving themselves in the work of explaining
the words in the Quran and interpreting their meaning in Arabic and other languages. Many people are interested in knowing the content of the Quran, especially non- Muslims. Therefore, a complete model that can represent the concept of the Quran is needed for people to understand the content of the Quran. In this study, it is proposed to analyze the new model of Semantic Lexicology 'LEXICOLSEM' in surah al-Hajj ( (الحَجِّ
based on the combination of Arabic Semantic Lexicology and the semantic relationship between words, to extract the concept of surah al-Hajj ( الحَجِّ ) a long enough surah in the Quran accurately based on surah Madani covering the Hajj, war, doomsday, and others. The existing literature only focuses on very limited relationships between words without considering the importance of Arabic Semantic Lexicology. The objective of
this study (1) to propose a new model to extract concepts surah al-Hajj ( 2) ,(الحَجِّ ) to analyze the words in surah al-Hajj ( الحَجِّ ) according to Arabic Semantic Lexicological patterns, and research the lexicological semantic relationship words in surah al-Hajj الحَجِّ ) ), and (3) to verify the proposed model with Arabic linguists and Quran experts. This study will be conducted qualitatively and quantitatively through the approach of
text analysis, questionnaires, and interviews. Based on the research conducted, the findings show that there is a significant relationship between teaching and the learning process of "LEXICOLSEM". This study can be considered as a contribution to the method of teaching and learning Arabic for non-Arabic speakers. This
"LEXICOLSEM" model can be adapted by universities and Higher Education Institutions as a model in teaching and learning Arabic. |
| format |
Thesis |
| author |
Sarah Husna binti Mat Rasid |
| author_facet |
Sarah Husna binti Mat Rasid |
| author_sort |
Sarah Husna binti Mat Rasid |
| title |
Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| title_short |
Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| title_full |
Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| title_fullStr |
Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| title_full_unstemmed |
Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran |
| title_sort |
analisis model baharu leksikologi-semantik latency multi-relational hiperlinked "lexicolsem" untuk komposisi ilustrasi al-quran |
| granting_institution |
Universiti Sains Islam Malaysia |
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my-usim-ddms-125242024-05-29T18:19:38Z Analisis Model Baharu Leksikologi-Semantik Latency Multi-Relational Hiperlinked "Lexicolsem" untuk Komposisi Ilustrasi Al-Quran Sarah Husna binti Mat Rasid The Quran represents a form of classical Arabic language which is the Word of Allah for life which is the greatest miracle of the Prophet SAW which contains various sources of knowledge that can be used as a guide to human beings in daily life. In order to understand the meaning of each verse, a deep knowledge of Arabic linguistics is very important. The scholars have worked by involving themselves in the work of explaining the words in the Quran and interpreting their meaning in Arabic and other languages. Many people are interested in knowing the content of the Quran, especially non- Muslims. Therefore, a complete model that can represent the concept of the Quran is needed for people to understand the content of the Quran. In this study, it is proposed to analyze the new model of Semantic Lexicology 'LEXICOLSEM' in surah al-Hajj ( (الحَجِّ based on the combination of Arabic Semantic Lexicology and the semantic relationship between words, to extract the concept of surah al-Hajj ( الحَجِّ ) a long enough surah in the Quran accurately based on surah Madani covering the Hajj, war, doomsday, and others. The existing literature only focuses on very limited relationships between words without considering the importance of Arabic Semantic Lexicology. The objective of this study (1) to propose a new model to extract concepts surah al-Hajj ( 2) ,(الحَجِّ ) to analyze the words in surah al-Hajj ( الحَجِّ ) according to Arabic Semantic Lexicological patterns, and research the lexicological semantic relationship words in surah al-Hajj الحَجِّ ) ), and (3) to verify the proposed model with Arabic linguists and Quran experts. This study will be conducted qualitatively and quantitatively through the approach of text analysis, questionnaires, and interviews. Based on the research conducted, the findings show that there is a significant relationship between teaching and the learning process of "LEXICOLSEM". This study can be considered as a contribution to the method of teaching and learning Arabic for non-Arabic speakers. This "LEXICOLSEM" model can be adapted by universities and Higher Education Institutions as a model in teaching and learning Arabic. Universiti Sains Islam Malaysia 2023-11 Thesis en_US https://oarep.usim.edu.my/handle/123456789/12524 https://oarep.usim.edu.my/bitstreams/73edef86-8cc8-414c-a830-a0fd4addcd8a/download 32c034112863b7317636db09c099b2f9 https://oarep.usim.edu.my/bitstreams/39fa11d0-2057-4b72-9d7d-a89e6622e074/download ebe357368e018b84bd0d554784f0669a https://oarep.usim.edu.my/bitstreams/562121a2-d000-4354-8928-37caf0577a57/download 685d18fb3c15ad403859efd4f3dae05b https://oarep.usim.edu.my/bitstreams/51cf24d3-107e-4085-a04c-a364c0464143/download 9a28691385e6bab5eb749bf48e94cd81 https://oarep.usim.edu.my/bitstreams/64f2642e-ee55-4a0e-8082-46d542be9b6e/download 1e4a21ddb44e47d67957e48432a7cd5e https://oarep.usim.edu.my/bitstreams/49b8be7e-0fb2-4d16-80ad-93fe0aa56d68/download d01404fed96c5e25c0c03197cec3502e https://oarep.usim.edu.my/bitstreams/69c17f7d-37b7-4cf6-8e5e-8053a8380545/download 1b31ae92ea01b599392e92cded1b028e https://oarep.usim.edu.my/bitstreams/ea11e217-813b-432c-ab91-56f08e9c3e9d/download 15673e56468293da5642ae54f8386d33 https://oarep.usim.edu.my/bitstreams/6c24da85-1b53-4e5c-b475-901e1560c7d2/download 087d75340dd4ade3aa6a8a79e4c3fb1f https://oarep.usim.edu.my/bitstreams/64ab991b-1af0-4aa8-a1a7-d4c3c27be477/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/95e8618c-862b-4cfe-9fab-f28b46815f68/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/dbee4575-971d-4e6c-a356-dd618b3bdcdf/download 564fd62c1628e86b038e688ad6788c6a https://oarep.usim.edu.my/bitstreams/a5aa5412-7b4f-45fb-89df-b4c0c5bc8061/download 717a01935a27b923c09aa5eec9e8b5df https://oarep.usim.edu.my/bitstreams/b0e70c6f-393c-4738-8e4c-071373a95606/download 3144cbd14101bf74dddb8818ac725b03 https://oarep.usim.edu.my/bitstreams/90ad533c-84f5-46b3-8f0d-92edff2926ee/download fd55bdd8e359a19f1cecc65cffce94e8 https://oarep.usim.edu.my/bitstreams/96f3bf82-e6ed-4c0b-85e8-bd4b4cdf3150/download b1a004fc41ca8ffb219d59a3b538ee56 https://oarep.usim.edu.my/bitstreams/ca2ee392-0d37-4bda-a74d-cee30c2c3c7f/download 1a358abf43fec740d43a7caede4dd263 https://oarep.usim.edu.my/bitstreams/e60ac1ec-836f-4070-aa7f-d41e6decca98/download 0a0f8ffbda90a8c27e507aaaf9a8c06a https://oarep.usim.edu.my/bitstreams/5766c676-dca6-4662-9296-b21060470e99/download e2025d1c78e44142d4d5d78defc0fb1f Multi-Relational, Latent, Lexicology-Semantics, Extracting Model, Surah al-Hajj ( .(الحَجِّ |