ANALISIS BUTIR SOAL FISIKA BERBASIS KEARIFAN LOKAL TARI TANGGAI BUATAN ARTIFICIAL INTELLIGENCE PADA MATERI DINAMIKA GERAK

ASLAMIYA, PUTRI ZASA and Fathurohman, Apit (2024) ANALISIS BUTIR SOAL FISIKA BERBASIS KEARIFAN LOKAL TARI TANGGAI BUATAN ARTIFICIAL INTELLIGENCE PADA MATERI DINAMIKA GERAK. Undergraduate thesis, Sriwijaya University.

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Abstract

This research aims to find out the quality of the matter of physics based on local wisdom dance Tanggai artificial intelligence on material dynamics of motion by high school students N 1 Palembang. Qualitative analysis of issues includes logical and empirical validity, reliability, difficulty levels, differential power, and distractor effectiveness. Statistical data processing using Winstep software with the RASCH model. This research uses a descriptive approach with the mix method. (kualitatif dan kuantitatif). The population in the study is the entire eleventh grade student of State High School 1 Palembang who took a physics examination. The sample used in this study was 125 students. The research instrument used is 20 elements of multiple choice on the concept of movement dynamics in Tanggai dance produced by the ChatGPT-Plus exploration. From the data obtained, the results show that the elements in terms of material, construction, and language in a comprehensive way can be categorized well, but still requires optimization. Quantitatively, of the 20 questions, the logical validity reaches 96% of the presentation, there are 90% of the questions stated fit, the reliability of the whole question is classified as reliable with the logit item reliability 0.97 (specific), alpha cronbach 0.66 (sufficient), and person reliability 0,65 (suficient), the difficulty of the topic variable is 15% very easy, the question easy is 35%, the question difficult is 40%, and the question is very difficult is 10%. The skill of the question through the separation layer can divide the ability of the student into two categories, 53.6% low ability and 46.4% high ability, and the effectiveness of 90% effective distractor function. Keywords: ChatGPT-4, topic analysis, artificial intelligence, ethnophysics, motion dynamics, winstep RASCH

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ChatGPT-4, analisis butir soal, artificial intelligence, etnofisika, dinamika gerak, winstep RASCH
Subjects:	L Education > L Education (General) > L7-991 Education (General) T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	06-Faculty of Education and Educational Science > 84203-Physics Education (S1)
Depositing User:	Putri Zasa Aslamiya
Date Deposited:	29 May 2024 04:38
Last Modified:	29 May 2024 04:38
URI:	http://repository.unsri.ac.id/id/eprint/146007

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