Tesis – Nadia Roosmalita Sari

Profil

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Pembimbing

Wayan Firdaus Mahmudy, Aji Prasetya Wibowo

Judul

Optimasi Bobot Training Backpropagation Pada Model Neural Fuzzy System (NFS) Menggunakan Algoritma Genetika Untuk Peramalan Laju Inflasi di Indonesia

Kemajuan

Seminar Proposal: 13-04-2016
Seminar Hasil: 29-11-2016
Ujian Akhir: 09-01-2017

Publikasi

  1. Sari, NR, Mahmudy, WF, Wibawa, AP & Sonalitha, E 2017, ‘Enabling External Factors for Inflation Rate Forecasting Using Fuzzy Neural System’, International Journal of Electrical and Computer Engineering, vol. 7, no. 5, pp. 2746-2756. IJECE Scopus

  2. Sari, NR, Mahmudy, WF & Wibawa, AP 2017, ‘The Effectiveness of Hybrid Backpropagation Neural Network Model and TSK Fuzzy Inference System for Forecasting’, Journal of Telecommunication, Electronic and Computer Engineering, vol. 9, no. 2, pp. 111-117. JTEC Scopus

  3. Sari, NR, Mahmudy, WF & Wibawa, AP 2017, ‘Inflation Rate Forecasting Through Adaptive Neuro Fuzzy Inference System’, Journal of Next Generation Information Technology, vol. 8, no. 1, pp. 11-19. JNIT

  4. Sari, NR, Mahmudy, WF & Wibawa, AP 2017, ‘Mengukur Performa Model TSK Fuzzy Logic Menggunakan Faktor Eksternal untuk Peramalan Laju Inflasi’, MATICS, Jurnal Ilmu Komputer dan Teknologi Informasi, vol. 9, no. 1, pp. 27-32. MATICS

  5. Sari, NR, Mahmudy, WF, & Wibawa, AP 2016, ‘Backpropagation on Neural Network Method for Inflation Rate Forecasting in Indonesia ‘, International Journal of Advances in Soft Computing and its Applications, vol. 8, no. 3, pp. 70-87. IJASCA Scopus

  6. Sari, NR & Mahmudy, WF 2015, ‘Fuzzy inference system Tsukamoto untuk menentukan kelayakan calon pegawai’, Seminar Nasional Sistem Informasi Indonesia (SESINDO), Institut Teknologi Sepuluh Nopember (ITS), Surabaya, 2-3 November, pp. 245-252. PDF

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