https://lisania.iainsalatiga.ac.id/index.php/lisania/issue/feedLISANIA: Journal of Arabic Education and Literature2023-06-21T04:15:20+00:00Burhan Yusuf Habibilisania.ftik@gmail.comOpen Journal Systems<p>================================================</p><p><em>DEAR AUTHORS, </em></p><p><em>PER 1 SEPTEMBER 2023, LISANIA WILL MIGRATE TO OJS 3 WITH A <strong>NEW URL<br />(<a href="https://ejournal.uinsalatiga.ac.id/index.php/lisania">https://ejournal.uinsalatiga.ac.id/index.php/lisania</a>)</strong>.</em></p><p><em>ALL MANUSCRIPT PUBLISHING PROCESSES WILL BE CARRIED OUT ON THE NEW URL.</em></p><p><span><em>=====</em>===========================================</span></p><p><span><br />LISANIA: Journal of Arabic Education and Literature published twice a year since 2017 (June and December), is a multilingual (Bahasa, Arabic, and English), peer-reviewed journal, and specializes in Arabic Education and Arabic Literature. This journal is published by the Arabic Education Department, <a href="http://tarbiyah.iainsalatiga.ac.id/"><strong>Faculty of Education and Teachers Training, State Institute for Islamic Studies (IAIN) Salatiga</strong></a>, in partnership with <a href="http://imla.or.id/"><strong>IMLA (Association of Arabic Lecturers)</strong></a>. <a href="https://drive.google.com/file/d/1v2egvsGDf8jynNXBDL9ae8c0phXuj0Tj/view"><span><strong>Click Here</strong> </span></a>to download MoU.</span></p><p>Editors welcome scholars, researchers and practitioners of Arabic Education and Arabic Literature around the world to submit scholarly articles to be published through this journal. All articles will be reviewed by experts before accepted for publication. Each author is solely responsible for the content of published articles.</p><p>LISANIA: Journal of Arabic Education and Literature is accredited by <a href="http://arjuna.ristekdikti.go.id/files/info/Hasil_Penetapan_Akreditasi_Jurnal_Periode_2_Tahun_2020.pdf"><strong>Ministry of Research and Technology Republic of Indonesia No. B/1225/E5/E5.2.1/2020</strong></a>. Therefore, all articles published by LISANIA will have unique DOI number.</p><p><strong>NEW TEMPLATE STARTED FROM 2020 EDITION IS AVAILABLE <a title="New Template" href="https://drive.google.com/file/d/1xhYOOLWw1o6UIloUVqRP8NlfvGYt4p8c/view">HERE</a></strong></p><p><strong><a href="https://drive.google.com/file/d/1nkxD_W-MU_wfiqWG6GdmI4b-I1__i_-9/view?usp=sharing">Click Here </a></strong>for Manuscript Submitting Tutorial</p><p>E-ISSN: <strong><a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&1490283246&1&&">2580-1716</a></strong></p><p>P-ISSN: <strong><a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&1508391663&1&&">2614-4425<br /></a></strong></p><p><strong>INDEXED BY</strong></p><table style="margin-left: auto; margin-right: auto; width: 385px;"><tbody><tr style="height: 48.1875px;"><td style="height: 48.1875px; width: 123px;"><a href="https://doaj.org/toc/2580-1716?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22terms%22%3A%7B%22index.issn.exact%22%3A%5B%222614-4425%22%2C%222580-1716%22%5D%7D%7D%5D%7D%7D%2C%22size%22%3A100%2C%22sort%22%3A%5B%7B%22created_date%22%3A%7B%22order%22%3A%22desc%22%7D%7D%5D%2C%22_source%22%3A%7B%7D%2C%22track_total_hits%22%3Atrue%7D" rel="noopener" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://i.postimg.cc/Kkq6Mzg9/DOAJ1.png" alt="DOAJ1" width="94" height="24" border="0" /></a></td><td style="height: 48.1875px; width: 137px;"><a href="https://app.dimensions.ai/discover/publication?search_mode=content&and_facet_source_title=jour.1299766" rel="noopener" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://i.postimg.cc/JyRvYJN6/Dimension-logo.png" alt="Dimension-logo" width="117" height="44" border="0" /></a></td><td style="height: 48.1875px; width: 103px;"><a title="Google 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href="http://solo.bodleian.ox.ac.uk/primo_library/libweb/action/display.do?tabs=detailsTab&ct=display&fn=search&doc=oxfaleph021040379&indx=2&recIds=oxfaleph021040379&recIdxs=1&elementId=1&renderMode=poppedOut&displayMode=full&frbrVersion=&frbg=&vl(254947567UI0)=any&&dscnt=0&vl(1UIStartWith0)=contains&scp.scps=scope%3A%28OX%29&tb=t&vid=OXVU1&mode=Basic&vl(516065169UI1)=all_items&srt=rank&tab=local&dum=true&vl(freeText0)=lisania&dstmp=1517275437824" rel="noopener" target="_blank"><img src="/public_iain/site/images/lisania/University_of_Oxford.png" alt="" width="102" height="31" /></a></td><td style="height: 48.1875px; width: 103px;"><a title="Harvard Library" href="http://hollis.harvard.edu/primo_library/libweb/action/display.do?tabs=detailsTab&ct=display&fn=search&doc=HVD_ALEPH015189935&indx=1&recIds=HVD_ALEPH015189935&recIdxs=0&elementId=0&renderMode=poppedOut&displayMode=full&frbrVersion=&frbg=&&vl(51615747UI0)=any&vl(1UI0)=contains&dscnt=0&scp.scps=scope%3A%28HVD_FGDC%29%2Cscope%3A%28HVD%29%2Cscope%3A%28HVD_VIA%29%2Cprimo_central_multiple_fe&tb=t&vid=HVD&mode=Basic&srt=rank&tab=everything&vl(394521272UI1)=journals&dum=true&vl(freeText0)=lisania&dstmp=1517275603111" rel="noopener" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/harvard.png" alt="" width="103" height="31" /></a></td></tr><tr style="height: 18px;"><td style="height: 18px; width: 123px;"><a title="Moraref" href="http://moraref.kemenag.go.id/archives/journal/98077985952782177" rel="noopener" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/Moraref_11.png" alt="" width="93" height="28" /></a></td><td style="height: 18px; width: 137px;"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/EBSCO61.png" alt="" width="100" height="31" /></td><td style="height: 18px; width: 103px;"><a title="BASE" href="https://www.base-search.net/Search/Results?lookfor=Lisania&type=all&oaboost=1&ling=1&name=&thes=&refid=dcresen&newsearch=1" rel="noopener" target="_blank"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/logo_base1.gif" alt="" width="102" height="26" /></a></td><td style="height: 18px; width: 103px;"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/worldcat11.png" alt="" width="97" height="28" /></td><td style="height: 18px; width: 103px;"><img style="display: block; margin-left: auto; margin-right: auto;" src="/public_iain/site/images/lisania/Onesearch3.png" alt="" width="94" height="52" /></td><td style="height: 18px; width: 103px;"><a href="http://garuda.ristekdikti.go.id/journal/view/14048" rel="noopener" target="_blank"><img src="data:image/png;base64,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" alt="" width="108" height="25" /></a></td></tr></tbody></table>https://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/8589The Effectiveness of Quizlet.com in Arabic Vocabulary Learning; Students’ Perception and Acceptance of Technology2023-06-21T04:15:19+00:00Muhammad Nur Kholisnurcolis341@gmail.comMuhammad Fahrun NadhifNadhiffahrun@gmail.com<em>The increasingly massive development of technology makes language learning no longer limited to only being in the classroom, but can be done anywhere using digital devices. Vocabulary is one of the important parts of language acquisition because vocabulary is the initial stage of mastering the four language skills. This study aims to determine the influence of the use of Quizlet in mastering the Arabic vocabulary of Arabic Language and Literature students, student perceptions of the use of the application in learning Arabic vocabulary, and acceptance of the technology used in quizlet.com. This study used an experimental design and was conducted on 25 Arabic Language and Literature students. This study used several data collection techniques, including pretest-posttest, perception questionnaires, and Technology Acceptance Model (TAM) questionnaires. The results of this study explained that the value of the posttest was greater than the pretests and the results of the T-Test showed a significant difference. These results are supported by a perception questionnaire that shows that students consider the use of the quizlet.com application to be effectively used in learning Arabic vocabulary. As well as the results of the TAM questionnaire showed that students were satisfied with the use of quizlet.com in learning Arabic vocabulary. The results of this study can be a recommendation for Arabic teachers, that quizlet.com can be used as a medium for learning Arabic vocabulary both in the classroom and outside the classroom.</em>2023-06-21T04:15:19+00:00Copyright (c) 2023 Muhammad Nur Kholis, Muhammad Fahrun Nadhifhttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/9098The Effectiveness of Mufradat Cards in Arabic Learning Outcomes in Thematic Learning in Madrasah Ibtidaiyah2023-06-21T04:15:19+00:00Suwardi Suwardisuwardi_imam@yahoo.comM. Farid Abdullahfaridstain78@gmail.comSyaefudin Achmadsaefudinachmad1991@gmail.com<em>Arabic learning outcomes in Madarasah Ibtidayah (MI) are still relatively low. This study aims to improve Arabic learning outcomes in MI by using mufradat (Arabic Vocabulary) cards in thematic learning. This research used experimental research with true experimental design. The respondents of this study included five teachers and 107 first grade students of private MIs in Salatiga City. Data collection methods included interviews with an interview guideline instrument and tests with a test instrument that has been declared valid and reliable. Qualitative data were analyzed by reviewing, reducing, categorizing, interpreting the data, and drawing conclusions. While quantitative data were analyzed with SPSS using the Cronbach's Alpha formula, Test of Homogeneity of Variances, ANOVA, t-test, and omega squared two independent samples. The theoretical contribution of this research is the specification of mufradat cards used for Arabic learning in thematic learning of grade I MI which includes specifications of card components and specifications of mufradat components. This study concluded that the use of mufradat cards has been proven effective to improve Arabic learning outcomes in thematic learning of grade I MI with an effectiveness value of 54.43%. This study recommends that to improve Arabic learning outcomes in MI, mufradat cards should be included in thematic learning.</em>2023-06-21T04:15:19+00:00Copyright (c) 2023 Suwardi Imamhttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/8003Intention and Motivation in Online Arabic Courses: Agency for Learning Phenomenon2023-06-21T04:15:19+00:00Abd. Rozakrozak@uinjkt.ac.idAzkia Muharom Albantaniazki@uinjkt.ac.idMohamad Syafrisyafri@iainpalu.ac.id<em>This study examines the implementation of Arabic learning during the pandemic and explores students' intentions and motivations in learning Arabic online. The type used in this research is a qualitative approach. An exploratory investigative approach is used to investigate students' intentions and motivations in learning Arabic online. Data will be collected by distributing the questionnaire offline and online. The data was then used to analyse the intentions and motivations of second semester students of the Arabic Language and Literature Study Program at UIN Sultan Maulana Hasanuddin Banten to support the long-distance Arabic courses. The study results indicate that the overall average score is still above 4 on a scale of 6. It be interpreted that the students having good intentions and motivation in online Arabic lectures</em><em>.</em>2023-06-21T04:15:19+00:00Copyright (c) 2023 Azkia Muharom Albantani, Abd. Rozak, Mohamad Syafrihttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/8339The Arabic Language of Resistance to Polygamy on Social Media: Study on Hastag Ta’addud al-Zaujat2023-06-21T04:15:19+00:00Rika Astaririka.astari@bsa.uad.ac.idAbdul Mukhlisabdul.mukhlis@bsa.uad.ac.idYusroh Yusrohyusroh@bsa.uad.ac.idMuhammad Irfan Faturrahmanmuhammadirfanfathurrahman@gmail.com<em>The issue of polygamy in Arab society is rarely published in the media. Since the emergence of social media platforms in 2004, such as Instagram, Facebook, and Twitter, the public has communicated and disseminated information freely. On social media, the polygamy controversy is a common subject. The video explanation by Sheikh Doctor Ahmad Karimah Yajib regarding polygamy is one of the videos about the practice that has generated a lot of controversy. This qualitative research relies on primary data from the hashtag Ta’addud al-Zaujat post data (1000 and 5000 posted from 2019 to 2022). The data is disaggregated by expressions in the comments column indicating polygamy resistance. The reasons for resistance to polygamy are not just prompted by Arab netizens' psychological experiences in doing so. However, it is also influenced by the opposition expressed by other internet users from various cultural backgrounds. Expressions of resistance posted in the hashtag Ta’addud al-Zaujat have formed a public opinion to fight against polygamy. This expression of resistance is legitimized by sharing an explanation of the fatwa of Arab Ulama on social media, which only reveals a part of the explanation regarding the polygamy law.</em>2023-06-21T04:15:19+00:00Copyright (c) 2023 Rika Astari, Abdul Mukhlis, Muhammad Irfan Faturrahmanhttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/8941Taṭwῑr Mawād Ta’lῑm Mahārah al-Kalām li as-Siyāḥah fῑ ḍau` al-Ma’āyir al-Waṭaniyyah li al-Kafā`ah al-Mihniyyah2023-06-21T04:15:19+00:00Meidias Abror Wicaksonomeidiaspba@gmail.comAb Halim Ahmadabhalim@um.edu.myWa Munawamunapba72@gmail.com<em>This study aims to develop Arabic-speaking teaching materials for tourism based on the Indonesian National Competency Standards (SKKNI) at the Department of Arabic Literature, State University of Malang. The ADDIE development model was used in this research and development. Data was collected using the instruments of observation, interview, questionnaire, and test. Meanwhile, data analysis techniques include qualitative descriptive data analysis and statistical descriptive. As a result of this research, Arabic language teaching materials for tourism are created according to the needs of students who focus on speaking skills. This teaching material consists of 8 themes: picking up tourists at the airport, hotel check-in, zoo tours, marine tourism, mountain tours, culinary tours, and shopping tours. According to expert opinion, this material is excellent regarding the language used and the content of the teaching materials. Based on the examination of test data using Wilcoxon, it is regarded as effective. In addition, this study recommends further research in Arabic for Tourism with other language skills.</em>2023-06-21T04:15:19+00:00Copyright (c) 2023 MEIDIAS ABROR WICAKSONO, AB HALIM AHMAD, WA MUNAhttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/9137Gazal al-Auṭān wa al-Buldān fῑ Syi’r Māni’ Sa’ῑd al-‘Utaibah2023-06-21T04:15:20+00:00Saleh Ahmad Alhameedsalehahmad@gmail.comNoor Hasma Mohammed Saadnurhasma@usim.edu.myBader Ulmonir Mohammad Noorbadrul@usim.edu.my<em>The study examines courtly love themes in the homeland and country of the Emirati poet Manaa Saeed al-Otaiba through his two Diwan, "To Where" and "Songs and Wishes." Additionally, it intends to explore the concepts of courtly love and its origins and how to employ poetic imagery and fitting music to achieve the intended results. The poet's feelings are described in the spinning topics based on the places and countries with which he has dabbled, and it is examined how the rhetorical devices and music accompanying those poems were in line with the poet's psychological state. One of the study's conclusions is that he chose separate poetry to express what he wanted to those countries in a fluid manner replete with terms of courtly love. Hence, the titles of those poems explain the content of their verses, and the poet's courtly love extended beyond his native country to countries in the East and West. As if he intended to inform people of the lyre in his heart in many places, the poet selected the new method to be overwhelming in his lyrical poetry. The researcher believes this work has contributions that make it a new building block in the relevant studies of Emirati literature in general and al-Otaiba poetry in particular. As an outstanding poet, he deserves extensive study and research from critics to understand his poetry's substance and multiple purposes.</em>2023-06-21T04:15:20+00:00Copyright (c) 2023 Saleh Ahmad Alhameedhttps://lisania.iainsalatiga.ac.id/index.php/lisania/article/view/8201Fa’āliyah Namūżaj Taqwῑm at-Tanāquḍ fῑ Taḥsῑn Jaudah Ta’lῑm al-Lugah al-‘Arabiyyah2023-06-21T04:15:20+00:00Rina Asih Handayanirinaasih@iainsalatiga.ac.idIbnu Hadjaribnu_hadjar@walisongo.ac.idSuja'i Suja'isujai@walisongo.ac.id<p><em>This paper aims to describe how the evaluation of learning Arabic uses the Discrepancy Evaluation Model (DEM) developed by Provus and what its effectiveness is like. The author uses a qualitative research method of literature study. The results of this paper are: First, there are three main components in the evaluation model developed by Provus, namely: 1) Standards, including a list of characteristics and qualities that are expected after the implementation of the program, 2) Performance, namely all the characteristics and qualities that have been formed as a result from program implementation, and 3) Discrepancies, namely gaps found after carrying out comparisons between Standards (S) and Performance (P). Second, these three components are then implemented in learning Arabic using five discrepancy evaluation steps, namely: Installation, Design, Process, Product and Comparison.</em></p>2023-06-21T04:15:20+00:00Copyright (c) 2023 Rina Asih Handayani