Journal
TARKĪB IḌĀFIY DAN TARKĪB NA‘TIY DALAM KITAB SILSILAT TA‘LĪM AL-LUGHAT AL-‘ARABIYYAH AL-MUSTAWA AL-ṠĀLIṠ AL-TA‘BĪR (ANALISIS SINTAKSIS)
Lisanul Arab: Journal of Arabic Learning and Teaching · Vol. 13 No. 2 (2024) · pp. 41–50
- ISSN
- 2721-4222, 2252-6269
- Published
- 2024-12-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
For Arabic language learners, tarkīb iḍafiy and tarkīb na'tiy are still difficult to distinguish when they are included in a sentence, especially if the sentence does not have a syakkal. In the research of Fauziah et al. who analyzed Nahwu's mistakes in reading Bald Arabic texts, found Nahwu's mistakes in several rules, including Tarkib Iḍafiy and Tarkīb Na'tiy. Therefore, both are important to research. The aim of this research is to determine the type, syntactic function and grammatical markers of tarkīb iḍafiy and tarkīb na'tiy in the book Silsilat Ta'līm Al-Lughat Al-'Arabiyyah Al-Mustawa Al-Ṡāliṡ Al-Ta'bīr. This research is qualitative research with a library research design. The research data is in the form of tarkīb iḍafiy and tarkīb na'tiy in the book Silsilat Ta'līm Al-Lughat Al-'Arabiyyah Al-Mustawa Al-Ṡāliṡ Al-Ta'bīr. Data collection uses documentation techniques and then samples are taken. Next, it was analyzed using research instruments in the form of data cards and recapitulation sheets. The research results show that there are 611 data. However, based on the data collection technique used, namely purposive sampling, only 100 data samples were taken for research. based on type, researcher found 8 iḍafah lafẓiyyah and 46 iḍafah ma'nawiyyah and 46 na'at haqiqiy. Based on its syntactic function, in muḍaf there are 4 fāil data, 6 mubtada' data, 1 khabar data, 7 tābi' data, 7 maf'ūl bih data, 11 maf'ūl fih data, 1 mustaṡna data, 1 isim inna data, 2 data munāda, and 14 majrūr bi al-harfi data. Then, in man'ūt the researcher found 1 fāil data, 1 khabar data, 1 isim kāna data, 12 tābi' data, 7 maf'ūl bih data, 1 khabar kāna data, 15 majrūr bi al-harfi data, and 7 muḍaf ilaih data. Furthermore, based on i'rab and its grammatical markers, in muḍaf the researcher found 14 rafa' data with ḍummah, 23 naṣab data; 22 data with fatḥah, 1 data with alif and 17 data jar with kasrah. Meanwhile, in man‘ūt there are 8 rafa‘ data with ḍummah, 12 naṣab data with fatḥah, and 26 jar data; 25 data with kasrah and 1 data with fatḥah.
Keywords
Collaboration network of the authors
40 authors · 102 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Airlangga
- Universitas Jambi
- Politeknik Negeri Ujung Pandang
- Tanjungpura University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Retno Purnama Irawati | Affiliation unknown | 9 |
| Darul Qutni | Affiliation unknown | 5 |
| Zukhaira Zukhaira | Affiliation unknown | 5 |
| Muhammad Wafaul Himam | Affiliation unknown | 4 |
| Nailur Rahmawati | Affiliation unknown | 3 |
| Zaim Elmubarok | Affiliation unknown | 2 |
| Mohamad Yusuf Ahmad Hasyim | Affiliation unknown | 2 |
| Ahmad Miftahuddin | Affiliation unknown | 2 |
| Akbar Syamsul Arifin | Affiliation unknown | 2 |
| Nur Hidayah | Politeknik Negeri Ujung Pandang | 2 |
| Nafis Azmi Amrullah | Affiliation unknown | 2 |
| Kartono Kartono | Universitas Airlangga | 1 |
| Muhlis Muhlis | Affiliation unknown | 1 |
| SRI WAHYUNI | Affiliation unknown | 1 |
| Umu Nafisatul Munawaroh1 | Affiliation unknown | 1 |
| Amirul Mukminin | Universitas Jambi | 1 |
| Syihabudin Nafi' | Affiliation unknown | 1 |
| Aprilia Putri Adila | Affiliation unknown | 1 |
| Nova Dwi Nur Rohmah | Affiliation unknown | 1 |
| Khumaidi Hamzah | Affiliation unknown | 1 |
| Susi Alvivin | Affiliation unknown | 1 |
| Rokhati Rokhati | Affiliation unknown | 1 |
| ahmad miftahuddin miftahuddin | Affiliation unknown | 1 |
| Suci Utami Ayuningtias | Affiliation unknown | 1 |
| Shilvia Rosiyana | Affiliation unknown | 1 |
| Endah Suprihatin | Affiliation unknown | 1 |
| Maya Ma'rifah | Affiliation unknown | 1 |
| Mentari Ramadhan | Affiliation unknown | 1 |
| Hamzah Multazim | Affiliation unknown | 1 |
| Sakti Sudarsono | Affiliation unknown | 1 |
| nurjanah nurjanah | Affiliation unknown | 1 |
| Nur Afifah | Tanjungpura University | 1 |
| Kurnia Hayuningparasati | Affiliation unknown | 1 |
| Anif Nur Fadilah | Affiliation unknown | 1 |
| Nurul Aviah | Affiliation unknown | 1 |
| Umi Aniati | Affiliation unknown | 1 |
| Iftinaan Nuurul Haniifah | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.