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Enhancing Students’ Reading Comprehension Quality Using the Jigsaw Method: A Case Study of Students in Universities Suryanti; Jefriyanto Saud; M. Syahrul Izomi; Saepulloh; Ahmad Hariyadi
RETORIKA: Jurnal Ilmu Bahasa Vol. 10 No. 1 (2024)
Publisher : Program Studi Magister Ilmu Linguistik Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55637/jr.10.1.9468.260-273

Abstract

This study explored the enhancement of students' reading comprehension in language learning through the application of the Jigsaw method in university environments. Employing a qualitative research approach, data regarding the improvement of students' reading comprehension quality were gathered from students enrolled at Muhammadiyah Bhuton University, Gorontalo State University, and Muhammadiyah Mataram University. Data collection utilized the observe-participant conversation method, wherein the researcher observed the enhancement of students' reading abilities across multiple campuses. Additionally, interviews with students and lecturers were conducted to investigate research problems, with recording and note-taking techniques employed to ensure data accuracy. Reflective introspective methods were further employed, engaging both the researcher and informants in discourse based on their respective experiences. The collected data underwent reduction, classification, and verification based on their types. Subsequently, the data were tabulated through the assignment of codes to each piece of information, followed by interpretation. The research findings revealed that the improvement of students' reading abilities in Indonesian language courses at Muhammadiyah Bhuton University progressed smoothly and effectively. Furthermore, the enhancement of Arabic language reading abilities at Muhammadiyah Mataram University was broader and more intensive, while the improvement of English language reading abilities at Gorontalo State University contributed to enhanced comprehension of English texts. The practical implications of these findings suggest that cooperative approaches like the Jigsaw method can serve as effective alternatives for enhancing students' reading comprehension abilities in university settings
Exploring Expressive Language Disorders in Children with Autism in Banyuwangi: A Psycholinguistic Review Akhmad Sofyan; Muta’allim; Saepulloh; Asia Anis Sulalah; Sahrotul Qeisiyeh
RETORIKA: Jurnal Ilmu Bahasa Vol. 10 No. 3 (2024)
Publisher : Program Studi Magister Ilmu Linguistik Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55637/jr.10.3.10487.816-825

Abstract

Autism is a complex neurodevelopmental disorder that affects various aspects of a child's development, including language abilities. This study aims to identify and analyze the fluency, articulation, and sentence structure abilities of autistic children at SMAN 1 Glenmore, Banyuwangi Regency. The research employs a qualitative descriptive design. The data in this study consists of words and sentences, with the data sources being autistic students from Class X IPS4 at SMAN 1 Glenmore Banyuwangi. The method used for data collection is the observation-participation method, where the researcher observes the spoken and written expressions of autistic students from Class X IPS4 SMAN 1 Glenmore Banyuwangi through recording and note-taking techniques. Additionally, interviews were conducted with the autistic students, teachers, parents, and the students' peers. After the data was collected, the researcher performed data reduction, classification, verification, tabulation, and coding for each data set. Finally, the researcher interpreted the data and drew conclusions. The results of the study indicate that the expressive language abilities of autistic children are still hindered by several factors, such as fluency in speaking, pronunciation, and unclear articulation, especially in words containing the letters or endings L, N, M, R, T, and NG. Autistic children tend to speak in short phrases and are experience significant challenges in active communication, nor can they convey information clearly. However, Bela Citra Kinanjur (BCK) is able to write independently with simple compositions, although some grammatical errors are still present, such as in the use of articles, spacing, and writing mechanics. Based on these findings, it is recommended that teachers help build the confidence of autistic students through public speaking activities, writing therapy, and word-building stimulation.
Manfaat Implementasi Big Data pada Berbagai Sektor Encep, Muhammad; Rianto, M. Rizki; Faris, Bintang Augri; Julia; Mutahari, M. Irgi; Rahman, Rifki Arif; Saepulloh
Karimah Tauhid Vol. 3 No. 8 (2024): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v3i8.14908

Abstract

Penerapan Big Data dalam berbagai sektor telah menjadi subjek perhatian yang meningkat dalam beberapa tahun terakhir. Dalam artikel ini, kami mengeksplorasi manfaat dari implementasi Big Data di sektor kesehatan, keuangan, pendidikan, dan pertanian. Dalam sektor kesehatan, kami menyoroti beberapa manfaat Big Data yang diantaranya adalah meningkatkan hasil pasien, memungkinkan personalisasi pengobatan, dan mendukung pengambilan keputusan klinis yang lebih baik. Di sektor keuangan, kami membahas manfaat implementasi Big Data dalam manajemen risiko, pengurangan biaya, dan peningkatan layanan konsumen. Di sektor pendidikan, kami mengevaluasi bagaimana Big Data telah membantu meningkatkan efisiensi manajemen guru, mendukung individualisasi pembelajaran, dan memperbaiki alokasi anggaran. Terakhir, kami menyoroti pendekatan Precision Agriculture dalam sektor pertanian, di mana Big Data digunakan untuk meningkatkan hasil pertanian dengan menggunakan sumber daya yang lebih sedikit. Artikel ini menawarkan wawasan tentang potensi Big Data untuk membawa perubahan positif di berbagai sektor dan menyarankan penelitian lanjutan untuk mengeksplorasi integrasi Big Data dengan teknologi baru serta dampak sosial yang lebih dalam.