Analisis Perbandingan Hasil Integrasi Numerik antara Metode Manual dan Penggunaan Model AI dalam Kaidah Trapesium

Authors

  • Shandy Pratama Institut Teknologi dan Bisnis Indonesia
  • Gilang Anggara Institut Teknologi dan Bisnis Indonesia
  • Ita Margaretta Br Tarigan Institut Teknologi dan Bisnis Indonesia

DOI:

https://doi.org/10.55606/jutiti.v6i2.7437

Keywords:

AI-Assisted Calculation, Chatgpt, Error Analysis, Numerical Integration, Trapezoidal Rule

Abstract

The rapid development of artificial intelligence has encouraged the use of large language models as supporting tools for mathematical problem solving, including numerical integration. However, the accuracy and consistency of AI-generated numerical answers still need to be evaluated carefully because each model may produce different outputs under the same prompt. This study aims to compare the accuracy of ChatGPT, Claude, and Gemini in solving numerical integration problems using the composite trapezoidal rule. The research applies a quantitative comparative design involving three types of functions, namely polynomial, exponential, and trigonometric functions. Each model was tested five times for each function using the same prompt, interval, and number of subintervals, with n = 12. Manual calculation using the trapezoidal rule was used as the reference value, and the difference between AI output and manual calculation was measured using percentage error. The manual calculation procedure was written step by step, starting from determining the step size, generating the partition points, evaluating the function values, summing the interior ordinates, and substituting the values into the trapezoidal formula. The results show that ChatGPT achieved the lowest overall average error, followed by Claude and Gemini. The findings indicate that AI models can support numerical computation, but their outputs should be verified through manual procedures or computational tools before being used as final answers.

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References

Abdulhameed, A. F., & Memon, Q. A. (2021). An improved trapezoidal rule for numerical integration. Journal of Physics: Conference Series, 2090(1), 012104. https://doi.org/10.1088/1742-6596/2090/1/012104

Ahn, J., Verma, R., Lou, R., Liu, D., Zhang, R., & Yin, W. (2024). Large language models for mathematical reasoning: Progresses and challenges. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 225–237. https://doi.org/10.18653/v1/2024.eacl-srw.17

Ali, A. J., & Abbas, A. F. (2022). Applications of numerical integrations on the trapezoidal and Simpson's methods to analytical and MATLAB solutions. Mathematical Modelling of Engineering Problems, 9(5), 1352–1358. https://doi.org/10.18280/mmep.090525

Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., Silver, D., Johnson, M., & Gemini Team. (2023). Gemini: A family of highly capable multimodal models. arXiv. https://arxiv.org/abs/2312.11805

Bai, Y., Kadavath, S., Kundu, S., Askell, A., Kernion, J., Jones, A., Chen, A., Goldie, A., Mirhoseini, A., McKinnon, C., Chen, C., Olsson, C., Olah, C., Hernandez, D., Drain, D., Ganguli, D., Li, D., Tran-Johnson, E., Perez, E., & Kaplan, J. (2022). Constitutional AI: Harmlessness from AI feedback. arXiv. https://arxiv.org/abs/2212.08073

Firdaus, A., Amrullah, A., Wulandari, N. P., & Hikmah, N. (2023). Analisis efisiensi integral numerik metode Simpson 1/3 dan Simpson 3/8 menggunakan program software berbasis Pascal. Jurnal Teknologi Informatika dan Komputer, 9(2), 1051–1064. https://doi.org/10.37012/jtik.v9i2.1737

Lendrik, K. Y., Sadali, M., & Mahpuz, M. (2019). Tingkat ketepatan hasil perhitungan integrasi numerik menggunakan bahasa pemrograman C# pada metode Reimann dan trapesium. Infotek: Jurnal Informatika dan Teknologi, 2(1), 8–17. https://doi.org/10.29408/jit.v2i1.981

Maure, O. P., & Mungkasi, S. (2021). Verifikasi tingkat keakuratan beberapa metode integrasi numerik fungsi atas satu peubah bebas. Jurnal Silogisme: Kajian Ilmu Matematika dan Pembelajarannya, 6(1), 58–64. https://doi.org/10.24269/silogisme.v6i1.3540

OpenAI. (2023). GPT-4 technical report. arXiv. https://arxiv.org/abs/2303.08774

Pardede, B. H. R., Kusfa, B. D., & Tamba, L. T. (2024). Penerapan metode trapesium, metode Simpson 1/3, dan metode Simpson 3/8 dalam integrasi numerik menggunakan software MATLAB. Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam, 2(4), 24–31. https://doi.org/10.62383/pentagon.v2i4.268

Qudsi, R., Alzaber, & Ridho, M. R. (2026). Analisis perbandingan metode trapesium, Simpson 1/3, dan Simpson 3/8 berbasis spreadsheet menggunakan Microsoft Excel untuk aproksimasi integral numerik. Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa, 4(1), 100–107. https://doi.org/10.62383/algoritma.v4i1.896

Rahmalia, N. F., Munawaroh, M. P., & Wibowo, A. (2025). Perbandingan MATLAB dan Microsoft Excel pada penyelesaian integral numerik dengan metode Simpson 1/3 dan 3/8. Math Didactic: Jurnal Pendidikan Matematika, 11(2), 89–104. https://doi.org/10.33654/math.v11i2.147

Samaray, S. (2024). Analisis hasil penyelesaian soal integrasi numerik berbasis ChatGPT. SABER: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi, 2(3), 316–326. https://doi.org/10.59841/saber.v2i3.1522

Suhendra, M. A., Assegaf, S., Robiyana, I., & Nurizati. (2024). A computational study of numerical integration in physics applications using trapezoidal and Simpson's methods. TIME in Physics, 2(2), 85–95. https://doi.org/10.11594/timeinphys.2024.v2i2p85-95

Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272

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Published

2026-07-07

How to Cite

Shandy Pratama, Gilang Anggara, & Ita Margaretta Br Tarigan. (2026). Analisis Perbandingan Hasil Integrasi Numerik antara Metode Manual dan Penggunaan Model AI dalam Kaidah Trapesium. Jurnal Teknik Informatika Dan Teknologi Informasi, 6(2), 259–272. https://doi.org/10.55606/jutiti.v6i2.7437

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