Efektivitas Penggunaan Prompt Berbahasa Indonesia Pada Kecerdasan Artifisial Dalam Mengidentifikasi Kesalahan Pada Simulasi Rangkaian Elektronika
Keywords:
Artificial Intelligence, Prompt Engineering, Bahasa Indonesia, Simulasi Elektronika, Identifikasi ErrorAbstract
Artificial Intelligence (AI) is currently utilized as an assistant tool for identifying errors in electronic circuit simulations. This study aims to analyze the effectiveness of Indonesian-language prompts in assisting AI to identify such errors. A descriptive experimental method was employed to test five common error scenarios in Proteus software. Each case was tested using Indonesian-language prompts, and the results were compared to the actual simulation conditions. The findings reveal that AI successfully identified four out of five error cases, achieving an 80% accuracy rate. The identified errors included disconnected ground, incorrect resistor values, reversed LED polarity, and insufficient supply voltage. In the transistor pin configuration case, AI only provided general indications due to a lack of prompt details. In conclusion, Indonesian-language prompts are highly effective in supporting error identification. The prompt's quality and comprehensiveness directly influence the AI's analytical accuracy.
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