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All Journal Jurnal Akuntansi AKUNESA International Journal of Education Jurnal Al-Ijtimaiyyah Terampil : Jurnal Pendidikan dan Pembelajaran Dasar JFMR (Journal of Fisheries and Marine Research) FOKUS: Jurnal Kajian Keislaman dan Kemasyarakatan Acta Aquatica: Aquatic Sciences Journal Arabiyatuna : Jurnal Bahasa Arab SAINS TANAH - Journal of Soil Science and Agroclimatology el-Ibtidaiy: Journal of Primary Education Ijaz Arabi Journal of Arabic Learning Pendas : Jurnah Ilmiah Pendidikan Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Edukasi Islami: Jurnal Pendidikan Islam Jurnal DISPROTEK Jurnal Basicedu Journal of Physical Education and Sports JURNAL Al-AZHAR INDONESIA SERI HUMANIORA PHILOSOPHICA Jurnal Bahasa, Sastra, dan Budaya Jurnal Ilmiah Cendekia Eksakta Amalee: Indonesian Journal of Community Research & Engagement Applied Research and Smart Technology (ARSTech) Jurnal Administrasi Pendidikan Islam Jurnal Kependidikan Islam Kode : Jurnal Bahasa Jurnal Basicedu Journal of Language and Literature Studies
Arif Mustofa
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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AI Rice Selection: Deconstructing Signs and Myths of Rice Comedy Ads on Instagram @alameen.had Azzahra, Arina Zakiah; Mustofa, Arif
JURNAL Al-AZHAR INDONESIA SERI HUMANIORA Vol 10, No 3 (2025): November 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sh.v10i3.5022

Abstract

Increasingly competitive business competition has encouraged manufacturers to innovate in promoting their products, one of which is through audiovisual advertising media. However, most previous studies have only highlighted the persuasive aspect without exploring the symbolic meaning contained therein. Therefore, this study was conducted to reveal the hidden signs and meanings in rice comedy advertisements on the Instagram account @alamee.had, focusing on the mythology of AI sophistication and validity based on Roland Barthes' perspective. This study used a qualitative method with Roland Barthes' semiotic approach, which includes denotative, connotative, and mythical analysis. Three advertising clips showing the role of AI in determining product choices were then analyzed using descriptive interpretive techniques. The results of the study show that these advertisements implicitly construct a myth about AI as a technology that is considered intelligent, rational, and has great potential to influence human decisions regarding technology in everyday life. This research theoretically expands Barthes' semiotic study through the reading of modern technology myths in contemporary Arabic advertisements.Keywords - Advertisement, AI Myths, Semiotics.
Variations of Arabic-Indonesian Translation Strategies in Automatic Machine Translation: A Comparative Study Mustofa, Rifki; Mustofa, Arif; Surur, Misbahus
Journal of Language and Literature Studies Vol. 5 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v5i3.3075

Abstract

In the era of Society 5.0, the phenomenon of automatic translation is getting more attention as communication technology advances, especially with the presence of translation engines such as Auto Translation and ChatGPT. Both are widely used in language transfer, including for official texts such as diplomatic speeches. This study aims to identify and compare the translation strategies used by Auto Translation and ChatGPT in translating the Arabic speech delivered by Indonesian Deputy Foreign Minister Anis Matta during the OIC Summit in Riyadh on November 11, 2024. This research uses a descriptive qualitative approach with a comparative method. Primary data is obtained from Arabic speech transcripts and the results of the translation of the two machines, while secondary data comes from various relevant literatures. Data collection techniques were carried out through observation and note-taking, and analyzed using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing/verification. The results show that the most dominant strategy used by both is Transcription (34% Auto Translation, 42% ChatGPT). The Harfiyyah strategy was found 18% in Auto Translation and 19% in ChatGPT. The Ziyadah strategy appeared 12% in Auto Translation and 8% in ChatGPT. The Transposition strategy was found 6% in Auto Translation and 11% in ChatGPT. The Description strategy was used more by ChatGPT at 12% than Auto Translation with 3%). Taqdim wa ta'khir strategy appears equally at 6%, while Tabdil (9%) and Hazf (12%) strategies are only found in Auto Translation. The results show a significant difference in that Auto Translation is more flexible in replacing or omitting text elements, while ChatGPT is more descriptive and contextual. This research contributes to the study of technology-based translation, especially Arabic-Indonesian diplomatic texts.
Soil quality index in some cropping systems in plot 17 of Wanagama forest, Gunungkidul, Yogyakarta, Indonesia Mustofa, Arif; Utami, Sri Nuryani Hidayah; Purwanto, Benito Heru
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 21, No 1 (2024): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v21i1.65454

Abstract

The Wanagama 1 Forest, owned by Universitas Gadjah Mada  in Playen, is an educational and research forest that is home to different species of trees that are managed and treated differently. Finding the quality index values for different cropping strategies in plot 17 of Wanagama Educational Forest 1 was the aim of this study. The soil quality index was determined using three methods: simple addition, scoring and weighting, and summation. The results show that in plot 17 of the Wanagama forest, the highest soil quality index values were found for ebony species and the lowest soil quality index values were found for mahogany and Eucalyptus species. The results showed that all land uses with different types of forest plants had lower soil quality indices. The stepwise analysis results showed that porosity, organic C, cation exchange capacity (CEC), P availability, K availability, and C biomass influenced the soil quality index. Measuring soil quality can help you learn more about soil properties and how to improve it through effective management.
ANALISIS PENGGUNAAN MEDIA PEMBELAJARAN BERBASIS AUGMENTED REALITY (AR) PADA PEMBELAJARAN IPAS MATERI EKOSISTEM DI SD NEGERI 1 BANDAR Wahyuningtyas, Avrian; Trisnawaty, Wulan; Mustofa, Arif
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Now Available
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.62285

Abstract

This study was conducted due to students' low understanding of ecosystem concepts caused by conventional teaching methods and the lack of visualization of abstract concepts. This research aimed to describe the use of Augmented Reality (AR)-based learning media, identify the challenges faced by teachers, and analyze students' understanding of concepts after learning. The study used a descriptive qualitative approach at SD Negeri 1 Bandar with teachers and fifth-grade students as data sources. Data were collected through observations, interviews, concept-understanding tests, and documentation, and then analyzed through data reduction, data presentation, and drawing valid conclusions. The results showed that Augmented Reality (AR)-based learning media were implemented systematically through the stages of preparation, material visualization, and group learning, thereby enhancing students' participation and learning motivation. The challenges encountered included classroom management, technical constraints, time management, and pedagogical aspects; however, these did not significantly hinder the achievement of the learning objectives. Students' conceptual understanding was categorized as very good, as demonstrated by their ability to explain, interpret, draw inferences, classify, compare, summarize, and provide examples of ecosystem concepts.
Co-Authors Abdullah Zainur Rauf Achmad Patoni Agoes Hendriyanto Agus Eko Sujianto Ahmadnia, Javad Akhmad Pandhu Wijaya, Akhmad Pandhu Azis, Muhamad Fahmi Azzahra, Arina Zakiah Bakti Sutopo Benito Heru Purwanto Binti Maunah Daniel Happy Putra Decky Rochmanto, Decky Desti Setiyowati Dias Prihatmoko Dzulfikar, M. Faidlon, Ahmad Fajrin, Ajeng Lilananda Faz, Najma Tsuroyya Gufron Gufron, Gufron Halimi, Halimi Ilmia, Miftahul Latifa, Milfa Luky Mudiarti, Luky Mabrur Syah, Mabrur Marwanto Marwanto, Marwanto Masrokan, Prim Moh. Zawawi, Moh. Muhammad Hasyim, Muhammad Munjiah, Ma’rifatul Munjiah, Ma’rifatul Mustofa, Rifki Naseer, Jamal Abdun Nur Kholis Nurcahyo Kursistiyanto Nuryanto Nuryanto Oktia Woro Kasmini Handayani Prastiwi, Suci Rahmawati, Tria Bayu Rarasat, Indah Riza, Andi Nor Rohman, Farid Abdur Santosa, Sedya Sarwido Sarwido, Sarwido Setiawan, Mufid Indra Sri Mulyo Bondan Respati Sri Nuryani Hidayah Utami Surur, Misbahus Sya’bana, Azka Tandiyo Rahayu Trisnawaty, Wulan Triyanto, Untung Urip Tisngati Wahyuningtyas, Avrian Wulandari, Hesty Prasetya Yunianto, Teguh Zaenal Arifin