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THE DEVELOPMENT OF TEACHABLE MACHINE-ASSISTED MODULES TO IMPROVE STUDENTS' COMMUNICATION WRITING SKILLS IN JUNIOR HIGH SCHOOL Zainur Rasyid Ridlo; Rusdianto Rusdianto; M. Ulul Albab Kholifatul Ardli; Dwi Wahyuni; Silvi Putri Ayu Ningsih; Joko Waluyo
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 13 No 1 (2026): in Press
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v13i1.2232

Abstract

Communication writing skills are a person's ability to communicate ideas, information, or thoughts through writing in a clear, structured, and effective manner. This study aims to examine the validity, practicality, and effectiveness of the Teachable machine-assisted module in improving junior high school students' communication writing skills. This study is a Research and Development (R&D) study using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The techniques used to collect data on validity, practicality, and effectiveness were validation sheets, observation sheets, tests, and student response questionnaires. Expert validation showed that this module was “highly valid” in terms of graphics, language, and content, with an average percentage of 86%. Practicality tests in the classroom showed that this module was very practical, with a score of 88%. The results of the effectiveness analysis showed a significant increase in written communication skills, particularly in the indicators of changing presentation and analyzing tables, with N-gain scores of 0.67 (moderate category) respectively. The student response questionnaire reinforced the effectiveness of this module, with an average positive response of 83%. Overall, this Teachable Machine-based module is effective and suitable for use as science teaching material, despite challenges in adapting the use of technology and written communication skills.
PELATIHAN ARTIFICIAL INTELLIGENCE DALAM MENDUKUNG LITERASI TEKNOLOGI INFORMASI PADA PEMBELAJARAN ABAD 21 DI MTS NURUL HUDA SITUBONDO Zainur Rasyid Ridlo; Dwi Wahyuni; Silvi Putri Ayu Ningsih; Miranda Wulandari Rahmawati
Jurnal Pemberdayaan Masyarakat dan Inovasi Vol 4 No 3 (2025)
Publisher : STKIP PGRI SITUBONDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/join.v4i3.2013

Abstract

The objective of this community service activity is to enhance the information technology literacy of teachers and students at MTs Nurul Huda Situbondo through machine learning-based Artificial Intelligence (AI) training, with a focus on Convolutional Neural Network (CNN) implementation. The training program has been meticulously designed to introduce the fundamental concepts of artificial intelligence and its practical applications in various domains, with a particular emphasis on its impact on education and agriculture. The training method utilizes a hands-on approach through open-source AI applications, such as Google Teachable Machine. The participants were trained to construct rudimentary artificial intelligence (AI) models that were capable of performing face recognition, fruit quality classification, leaf disease identification, and plant species classification. The findings of this initiative have demonstrated a substantial enhancement in the information technology literacy dimension of the participants, as evidenced by an augmentation in conceptual comprehension, proficiency in utilizing AI technology, and a favorable disposition towards the integration of technology in educational pursuits. A significant outcome of this endeavor is the development of an AI model for disease classification on mango leaves. The efficacy of this training program substantiates the notion that technology-based learning methodologies can effectively cultivate 21st-century competencies, such as critical thinking, problem-solving, and digital proficiency. Furthermore, it fosters the development of an innovative and adaptable learning environment within the madrasah context.