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All Journal Jurnal Penyuluhan Parole: Journal of Linguistics and Education IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature English Language Teaching Educational Journal PROJECT (Professional Journal of English Education) Journal of Vocational Education Studies Journal Of English Literature, Linguistic, and Education (JELLE) Proceeding ISETH (International Summit on Science, Technology, and Humanity) Teaching English as a Foreign Language Journal GSE-journal
Djoko Sutrisno
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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ANALYZING THE IMPACT: EMERGING CLASSROOM TECHNOLOGIES AND THE EVIDENCE ON LEARNING Putriyani, Della Widya; Djoko Sutrisno; Azlinda Zainal Abidin
Global Synthesis in Education Journal Vol. 1 No. 2 (2023): Volume 1 Number 2, November 2023, Pages 01-63
Publisher : Mutiara Intelektual Indonesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61667/37aknv11

Abstract

This paper aimed to analyze the multifaceted impact of modern technological integration in education on pedagogy, learning processes and outcomes. A detailed literature review was conducted examining key developments in educational technologies over the past two decades including online learning platforms, 1:1 device initiative, and adaptive learning software. Impacts were analyzed using existing evidence from multiple systematic reviews and meta-analyses on learning analytics, engagement, student achievement and teaching practices. The integration of technology in classrooms was found to enable more self-directed, personalized learning approaches leading to significant gains in core skills. However, uneven access to technology and issues around data privacy were also highlighted. Benefits were maximized when technologies supplemented rather than substituted teachers. With astute policy and teacher training, classroom technology presents transformative opportunities to improve access, equity, achievement and prepare students with vital future-oriented skills. However, care must be taken to continually address ethical issues around privacy, screen time, and digital divides. Understanding both opportunities and pitfalls will be key as education systems leverage technologies effectively to enhance learning on a global scale in coming decades
Fusing Corpus-Based Analysis with Content and Language Integrated Learning: Transforming Online Language Proficiency Development Annury, Muhammad Nafi; Fridolini, Fridolini; Sutrisno, Djoko
Global Synthesis in Education Journal Vol. 3 No. 2 (2025): Vol. 3 No. 2, August 2025
Publisher : Mutiara Intelektual Indonesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61667/p0kmy083

Abstract

The integration of corpus-based analysis with Content and Language Integrated Learning (CLIL) offers a promising pedagogical framework to enhance online language proficiency development. Against the backdrop of increasing globalization and the need for effective language and content instruction, this study investigates the potential of merging these two methodologies to address gaps in traditional language education. The objective is to explore how corpus-based tools can enhance CLIL curricula by providing authentic, subject-specific language inputs and fostering critical thinking, cultural awareness, and learner autonomy. A mixed-methods approach was adopted, combining quantitative and qualitative methods. Quantitative analysis involved pre-tests and post-tests of vocabulary acquisition, grammar accuracy, and subject-specific terminology comprehension for experimental and control groups. The experimental group utilized corpus-based CLIL tools, while the control group followed traditional CLIL methods. Qualitative data were gathered through surveys, interviews, and case studies to capture learner and educator experiences, engagement, and usability of the proposed approach. Findings revealed that the experimental group demonstrated significantly greater improvements in language proficiency, with 80%-100% gains across metrics compared to 30%-50% gains in the control group. Qualitative
Engaging Students in Literature Circles on Critical Reading and Text Analysis Sutrisno, Djoko
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2018: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2276

Abstract

To make teaching activities more desirable, different methods and strategies have already been employed constantly. This study utilized the strategy of “literature circles” to improve the text-analysis skills, reading wishes, and interests of potential teachers of Indonesian. “Literature circles” had not been chosen to be utilized as the only real strategy throughout the entire every week class hours; rather, it was used limited to one course hour of each weekly four-hour classes, being complementary to and supportive of other teaching activities. The scholarly study was completed as research. A total of 56 students in two parts of the English department of UMNU Kebumen voluntarily participated in the research. In order to enhance the students’ book reviewing abilities and reading passions, “literature circles” was implemented for a amount of 12 weeks for just one class hour. By the end of the execution of “literature circles” when the students’ reading comprehension post-test and pre-test scores had been compared, a big change was observed. Predicated on the results, it may be figured “literature circles” works well in developing students’ abilities to get the theme, primary idea, and keywords in a text message. Besides, the training students remarked that the implementation of the strategy increased their desire and interest for communication, their self-confidence, cooperative learning, critical thinking, reading without bias objectively, and independent reading skills.
TUGAS dan FUNGSI PENGAWAS MUTU SIPIL (Civil QC Inspector)  DALAM PENGERJAAN PEMBANGUNAN PELABUHAN (JETTY) PROYEK SUMBAWA LNG REGASDI PT. JGC INDONESIA Nafi Annury, Muhammad; Sutrisno, Djoko
Global Synthesis in Education Journal Vol. 3 No. 3 (2025): Vol. 3 No. 3, November 2025
Publisher : Mutiara Intelektual Indonesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61667/e1bvf861

Abstract

Authorship attribution (AA), a core task in computational linguistics, seeks to identify the author of a text based on stylistic patterns. While effective, many existing methods face a trade-off between classification accuracy and computational cost, especially when applied to large datasets. This study provides a systematic evaluation of word-level string kernel techniques as a highly efficient and accurate solution for AA. We investigate the performance of three string kernels (Spectrum, Presence Bits, and Intersection) paired with three machine learning classifiers (Support Vector Machine, Random Forest, and XGBoost). The models were tested on three distinct feature sets designed to isolate the stylistic contribution of noun phrases alongside word (n)-grams. Our findings reveal that the optimal configuration—a Support Vector Machine with a Spectrum kernel utilizing a feature set of word (n)-grams and noun phrases—achieves approximately 95% classification accuracy on the test set. This result underscores the critical role of phrasal-level syntactic information in capturing an author's unique voice. Most significantly, this word-level approach demonstrates a four- to six-fold reduction in model training time compared to a strong character-level baseline, while maintaining superior or competitive accuracy. This research concludes that word-level string kernels offer a powerful and practical framework for authorship attribution, striking an exceptional balance between high performance and computational efficiency. The method's scalability makes it highly suitable for real-world applications, including digital forensics, plagiarism detection, and large-scale textual analysis
Co-Authors Adhy Kurnia Triatmaja Ani Susanti Annury , Muhammad Nafi Arief Kurniawan Astari, Melya Putri Aydawati, Emilia Ayudia Fauziah Azlinda Zainal Abidin Azwar Abbas Budi Santosa Budi Santosa Budiastuti, Pramudita Catur Kepirianto Edhy Susatya, Edhy Fauzia Fitri Nur Mahmudah Fridolini, Fridolini Hermanto Hermanto Hermanto Iin Inawati Johny Marsius listiani, Eva Maharani, Kharien Puspa Mufida Yasin, Amalia Muhammad Nafi Annury, Muhammad Muhammad Nafi Annury, Muhammad Nafi Nanda Pambudi Noor Azlinda Zainal Abidin Pang S Asngari Prabowo Tjitropranoto Prima, Rendra Ananta Purnawan Purnawan Putriyani, Della Widya Raihani, Shaheila SITI MARIAM Soedijanto Padmowihardjo Sulfikar Sallu Sumardjo Tjahjono Mohamad Amin Tri Kuat, Tri Yayang Ariawan Zainal Abidin , Noor Azlinda