sWebinar yang diselenggarakan pada Jumat, 1 Oktober 2021 oleh Bisa.ai menjelaskan secara singkat terkait dengan penggunaan Kecerdasan Artifisial pda pengolahan data seismik.
Mengawali webinar saya menampiokan distribusi spasial sebaran gempabumi di Indonesia, jangan kaget, jangan panik (perhatikan gambar berikut)
Selanjutnya saya berbicara tentang apa itu Kecerdasan Artifisial, kaitannya dengan Machine Learning dan Deep Learning. Bberapa penjelasan singkat [...]
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WORKSHOP - Riset dan Implementasi di Bidang Speech, Signal dan Music Processing - Sabtu, 8 Mei 2021
Implementasi Sinyal dan Speech Processing - Dr. Agfianto Eko Putro, M. Si.
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Sosialisasi Pembentukan Pengurus dan Anggota Asosiasi Kecerdasan Buatan DAY 2 - Minggu, 25 april 2021.
Pada kesempatan ini saya coba menjelaskan dengan singkat konten stranas Kecerdasan Artifisial di Indonesia, khususnya terkait dengan arah aktivitas atau penelitian Kecerdasan Artifisial di Indonesia. Silahkan untuk lebih jelasnya menyaksikan tayangan berikut…
Arah Aktivitas/Penelitian Kecerdasan Artifisial Indonesia
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Rekaman live Sabtu, 4 Juli 2020
Pada Roundtable ini akan membahas mengenai Digital Signal Processing dan Deep Learning dengan narasumber:
Dr. Agfianto Eko Putra (Dosen DIKE, Fak. MIPA, Universitas Gadjah Mada, Ketua Aptikom Daerah Istimewa Yogyakarta) — Pembahasan: digital signal processing untuk kasus speech signal dan seismic dengan MATLAB;
M. Octaviano Pratama, M.Kom (Chief Scientist BISA AI) — [...]
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Seminar ELINS edisi Juni 2020 dengan topik “Peran Satelit di Era Industri 4.0” bersama Anggoro Kurnianto Widyawan, Ph.D. - Direktur Operasi PT Telkomsat dan Dr. Agfianto Eko Putra, M.Si. - Dosen dan Peneliti Elektronika dan Instrumentasi UGM.
Peran Satelit di Era Industri 4.0
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Rangkuti, A.H., Harjoko, A., and Putra, A.E.
This research evolves feature extraction algorithms in overcoming difficulties in classifying batik images that encounter changes in scale and rotation. the algorithm is multiscale and multilevel extended center symmetric local binary pattern (M2ECS-LBP). In utilizing this algorithm using several types of windows to obtain optimal feature extraction results, ranging [...]
Random Forest (RF) is known as one of the best classifiers in many fields. They are parallelizable, fast to train and to predict, robust to outlier, handle unbalanced data, have low bias, and moderate variance. Apart from these advantages, there are still opportunities to increase RF efficiency. The absence of recommendations regarding the number of [...]
Heriyanto, Hartati and Putra, 2018
The recitation of the Qur’an has its own uniqueness, among others having a special rule in reading and pronunciation, which is called tajwid science. At the time of the Qur’an is recited, there are often mistakes due to the limitations of knowledge of Tajwid. Therefore, the availability of tools to facilitate [...]
by Agfianto Eko PUTRA, Wiwit SURYANTO, Agung Nugraha SULISTYANA
Seismic data analysis of the 2006 Merapi volcano eruption has been carried out using the Continuous Wavelet Transform (CWT) and the Wavelet-based Decomposition and Correlation (WAVEDECOR) combined with the Fast Fourier Transform (FFT). The CWT is used to show the frequency pattern of the event while the WAVEDECOR [...]
Achmad Solichin, Agus Harjoko, and Agfianto Eko Putra
This study proposed a model for determining the movement direction of the object based on the optical flow features. To increase the speed of computational time, optical flow features derived into a Histograms of Oriented Optical Flow (HOOF). We extracted them locally on the grid with a certain [...]
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