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Grammatical cohesion found in undergraduate student’s thesis writing: A case study at one private university in Indonesia Ulfa, Risma Liyana; Ramadhani, Reski
English Learning Innovation Vol. 5 No. 1 (2024): February
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/englie.v5i1.31406

Abstract

Writing an excellent and comprehensive text depends on applying appropriate grammatical cohesive devices. This study aims to investigate the types and errors of the grammatical cohesive devices found in the undergraduate student's thesis. The analysis used in the present study applied the framework of Systemic Functional Linguistics (SFL) proposed by Halliday and Hasan (2014). Through the qualitative design with content analysis, this study examines two undergraduate students' theses, focusing on finding and discussing sections at one private university in Jakarta. The analysis revealed that grammatical cohesive devices in the thesis are not diverse. The data's most dominant grammatical cohesive devices are references and conjunctions—no elliptical and substitution devices are found in the data. Besides, errors in applying grammatical cohesion in the undergraduate students' writing were found, especially in using personal and demonstrative references and extension conjunctions. It indicates that the students still lack understanding in applying the knowledge of grammatical cohesion in their writing, influencing the readers' understanding in capturing information from the thesis. It implies that the knowledge of appropriate grammatical cohesion is essential for students in academic writing, predominantly undergraduate thesis, to convey the ideas and information properly and coherently.
Rancang Bangun Aplikasi Mitra Dapur Berbasis Website Rahayu, Sri; Supriatna, Asep Deddy; Nopriyanto, Rangga; Ulfa, Risma Liyana
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1277

Abstract

Mitra Dapur merupakan toko atau warung yang menjual kebutuhan bahan pokok dapur. Bahan pokok dapur sangat diperlukan oleh masyarakat tidak hanya untuk kebutuhan sehari-hari seperti memasak tetapi juga dibutuhkan oleh masyarakat yang mempunyai usaha di bidang kuliner. Adanya Pandemi COVID-19 mengharuskan masyarakat memanfaatkan teknologi dalam berbagai kegiatan termasuk jual beli dan promosi. Mitra Dapur menjadi toko yang memanfaatkan teknologi tersebut untuk jual beli dan promosi menggunakan Whatsapp. Penggunaan Whatsapp terdapat kekurangan diantaranya keterbatasan detail informasi, status Whatsapp hanya 1x24 jam, lalu informasi ketersediaan stock produk sehingga masyarakat tidak dapat mengatahui apakah produk yang di tampilkan tersebut masih tersedia atau tidak. Adapun tujuan daripada Penelitian ini yaitu menghasilkan sebuah aplikasi Mitra Dapur Berbasis Website serta membantu masyarakat untuk mencari kebutuhan bahan pokok dapur. Dalam merancang aplikasi Mitra Dapur ini menggunakan metodologi yaitu Rational Unified Process (RUP) dengan dengan menggunakan beberapa tahapan yaitu Inception, Elaboration, Construction, pada tahap transition tidak dilakukan karna aplikasi yang dibuat masih berupa prototype. Memodelkan kebutuhan sistem menggunakan Unified Modelling Langguange (UML). Pengujian aplikasi dilakukan menggunakan metode Blackbox Testing untuk tahapan pengujian aplikasinya. Hasil dari Penelitian ini adanya aplikasi Mitra Dapur Berbasis Website yang terdapat fitur pengelolaan data produk, kategori, pesanan, dan pembayaran. pembeli dapat melakukan checkout pesanan dan melakukan konfirmasi pembayaran dengan melampirkan bukti transfer.
Readability of Reading Texts as Authentic Materials Issued by ChatGPT: A Systemic Functional Perspective Ramadhani, Reski; Aulawi, Hilmi; Ulfa, Risma Liyana
IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) Vol 8, No 2 (2023): Indonesian Journal of English Language Teaching and Applied Linguistics
Publisher : Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/ijeltal.v8i2.1546

Abstract

Selecting the appropriate texts as the authentic material for English teaching, particularly at the university level, matched with students’ mastery level is still challenging. This study attempts to investigate the readability level of reading texts through the framework of Systemic Functional Linguistics (SFL) issued by ChatGPT, focused on whether the complexity level of the texts matches the standard level of the Common European Framework of Reference (CEFR) by proposed British Council. Through the qualitative design with content analysis, this study examines eighteen texts classified following CEFR levels issued by ChatGPT. It analyzes their lexical density, grammatical intricacy, and lexical variation to know the complexity of the texts. The analysis revealed that the complexity level of the texts issued by ChatGPT has not thoroughly followed the standard level of the texts used by the British Council on the CEFR level, indicating that several texts are inappropriate with their complexity levels. It is found that the complexity level of the texts issued by ChatGPT is determined by the length of the texts that increase from the basic level to the proficient level seen from the number of words in each text, not by their lexical density, grammatical intricacy, and lexical variation indexes. The study provides implications for the lecturer to carefully select the text used as teaching material issued by ChatGPT by relying on the lexico-grammatical analysis of the text to help students achieve the comprehension stage.
Readability of Reading Texts as Authentic Materials Issued by ChatGPT: A Systemic Functional Perspective Ramadhani, Reski; Aulawi, Hilmi; Ulfa, Risma Liyana
IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) Vol 8, No 2 (2023): Indonesian Journal of English Language Teaching and Applied Linguistics
Publisher : Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/ijeltal.v8i2.1546

Abstract

Selecting the appropriate texts as the authentic material for English teaching, particularly at the university level, matched with students’ mastery level is still challenging. This study attempts to investigate the readability level of reading texts through the framework of Systemic Functional Linguistics (SFL) issued by ChatGPT, focused on whether the complexity level of the texts matches the standard level of the Common European Framework of Reference (CEFR) by proposed British Council. Through the qualitative design with content analysis, this study examines eighteen texts classified following CEFR levels issued by ChatGPT. It analyzes their lexical density, grammatical intricacy, and lexical variation to know the complexity of the texts. The analysis revealed that the complexity level of the texts issued by ChatGPT has not thoroughly followed the standard level of the texts used by the British Council on the CEFR level, indicating that several texts are inappropriate with their complexity levels. It is found that the complexity level of the texts issued by ChatGPT is determined by the length of the texts that increase from the basic level to the proficient level seen from the number of words in each text, not by their lexical density, grammatical intricacy, and lexical variation indexes. The study provides implications for the lecturer to carefully select the text used as teaching material issued by ChatGPT by relying on the lexico-grammatical analysis of the text to help students achieve the comprehension stage.
WORKSHOP PEMANFAATAN LIMBAH MINYAK JELANTAH MENJADI LILIN AROMATERAPI DI DESA PAMULIHAN Ulfa, Risma Liyana; Nurzaman, Muhamad; Pratama, M Fachrul; Mayasari, Monika; Dzimar Sadli, Sep Naufal; Hasan; Fikri Khanizar, Muhamad Aqil; Daniel, Rijal; Yudha, Dimas Hendra; Safitri, Dini Oktavia; Yusrin, Iqbal Fauzi; Salma, Nazwa Mutia; Ramadhan, Rexy Surya; Sanjaya, Esa; Rianto, Raihan Lasafran; Bustamam, M. Nazry Sabiq; Burdani, Muhamad Rizky Abdilah; Nursahbani, Ripky; Maulida, Neng Nurul; Anur, Vina Delia Tri; Baihaqi, Ahmad Ghaji; Almira, Eka Apriani; Sulaeman, Agita Issa
Jurnal PkM MIFTEK Vol 6 No 2 (2025): Jurnal PkM Miftek
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.6-2.2844

Abstract

Used cooking oil waste in Pamulihan Village has not been properly managed, resulting in water pollution and declining soil quality. This condition negatively impacts both the environment and public health. To address this problem, the KKN Group 7 of Pamulihan Village carried out a community service program. The main objective of this activity was to train residents to convert used cooking oil waste into economically valuable products—aromatherapy candles. The program included education on the dangers of waste, demonstrations of candle-making techniques, and hands-on practice sessions. This initiative addresses a key gap in Pamulihan Village, where awareness of the hazards of used cooking oil waste remains low and no practical household-level solution exists to transform it into a marketable product. The program stands out from previous efforts that may have focused solely on waste collection, as it specifically provides upcycling skills with creative economic value. As a result, residents’ understanding of the environmental risks posed by used oil waste increased significantly. They also succeeded in producing aesthetically appealing aromatherapy candles. This activity not only provides a solution to environmental problems but also opens up new economic opportunities for the community.