Pemodelan Single Neuron Menggunakan Modified Izhikevich Model Untuk Design Chip Neuromorphic

Ramadhana, Firman (2025) Pemodelan Single Neuron Menggunakan Modified Izhikevich Model Untuk Design Chip Neuromorphic. Bachelor thesis, Institut Teknologi Kalimantan.

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Abstract

Neuromorphic chip merupakan teknologi inovatif yang dirancang untuk meniru cara kerja otak manusia dalam memproses informasi secara efisien. Penelitian ini bertujuan untuk memodelkan neuron tunggal berbasis model Izhikevich yang dimodifikasi dengan metode Runge-Kutta, yang memiliki tingkat akurasi tinggi dalam menyelesaikan persamaan diferensial non-linear. Metode penelitian meliputi modifikasi persamaan Izhikevich dengan pendekatan Runge-Kutta, simulasi pola spiking neuron menggunakan MATLAB, serta implementasi digital dalam bahasa Verilog HDL melalui software Quartus Prime. Pengujian dilakukan dengan menganalisis parameter error seperti RMSE, MAE, MSE dan cross correlation, serta mengevaluasi penggunaan sumber daya FPGA untuk setiap model. Hasil menunjukkan bahwa model Runge-Kutta orde ke-empat menghasilkan nilai error terendah dengan rata-rata RMSE sebesar 5.7377 dan nilai cross correlation sebesar 0.8691 dengan lag sebanyak 32. Namun, model ini juga menggunakan sumber daya FPGA paling tinggi, yaitu 404 LUTs, 746 registers, dan 20 DSP blocks. Penelitian ini menunjukkan bahwa metode Runge-Kutta orde empat mampu menghasilkan model neuron yang akurat dan berpotensi dikembangkan dalam rancangan chip neuromorphic yang efisien.

Item Type:	Thesis (Bachelor)
Subjects:	T Technology > T Technology (General)
Divisions:	Jurusan Teknologi Industri dan Proses > Teknik Elektro
Depositing User:	Firman Ramadhana
Date Deposited:	11 Jul 2025 05:52
Last Modified:	11 Jul 2025 05:52
URI:	http://repository.itk.ac.id/id/eprint/24316

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