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All Journal Jurnal Sains Materi Indonesia JURNAL FISIKA Jurnal Matematika & Sains JURNAL ISTEK ALHAZEN Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Scientiae Educatia: Jurnal Pendidikan Sains Jurnal Analisa Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics
Hasniah Aliah
Department Of Physics, Faculty Of Science And Technology, UIN Sunan Gunung Djati Bandung
Astronomy Computer Science & IT Earth & Planetary Sciences Education Materials Science & Nanotechnology Mathematics Physics

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Simulasi Produksi Neutron pada LINAC Radioterapi menggunakan metode Monte Carlo FLUKA-FLAIR Ramdani, Ridwan; Sutrisna, Irma Wati; Syaja'ah, Khoerun Nisa; Aliah, Hasniah
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 9, No 1 (2023)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/gravity.v9i1.18979

Abstract

The use of high-energy photon beams in radiotherapy aims to increase the effectiveness of the radiation beam so that it can reach tumors that are deeper than the surface of the skin. However, linac aircraft operated above 8 MV can cause photonuclear interactions. Neutrons, which are highly avoided in medical physics, can be generated from the interaction of high-energy photons with materials with high atomic numbers (Z) in linac heads. The study focused on simulating the production of linac 10 MV aircraft contaminant neutrons using Fluka-Flair software based on the Monte Carlo method to find out where the contaminant neutrons come from and their dose contribution to the water phantom. The simulated linac aircraft is a linac head consisting of target components, primary collimator, Flattening filter, ion chamber, Secondary Collimator, and Phantom. The simulation results show that neutrons are generated at the target component, primary collimator, Flattening filter, ion chamber, secondary collimator, and water phantom. Tungsten is the target material with the most excellent 55,08% neutron fluence due to its highest atomic number, Primary Collimator 23,45%, Flattening Filter 10,67%, Ion Chamber 7,58%, Secondary Collimator 3,07% and Phantom 0,15 %.
Implementation of Adaptive Neural Fuzzy Inference Systems (Anfis) For Speech Recognition Applications In Smart Home Control Permana, Roni; Sanjaya, W S Mada; Aliah, Hasniah
TIME in Physics Vol. 2 No. 2 (2024): September
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2024.v2i2p77-84

Abstract

Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information. Digital Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information in digital form. The speech control system is very efficient. Speech signals are signals that change over time at a relatively slow speed. If observed at short intervals (between 5 and 100 miles per second), the practical characteristics are constant, but if observed at longer intervals, the characteristics appear to change according to the sentences spoken. This study uses the signal pattern recognition method with the MFCC and ANFIS methods as learning. The performance results of the entire system obtained an accuracy value with 6 feature extractions in 2 respondents, namely 65% ​​-72.5% and the smarthome control system worked well.
Co-Authors Adam Malik Albert Manggading Hutapea Andhy Setiawan Asti Sawitri Dani Gustaman Syarif Elis Sabilil Hidayah Euis Sustini Fiyka Priyahita Horasdia Saragih Ida Ayu Putu Sri Widnyani Masturi Masturi Mikrajuddin Abdullah Mujib Ubaidillah Neneng Sugianti Nurul Hidayah Eka Putri Pipih Nurhidayati Rahayu Kariadinata Ramdani Wahyu Sururie Ridwan Ramdani Rini Cahyandari Riva Lesta Ariany Roni Permana Ryan Nur Iman Sanjaya, W S Mada Sukirno Sukirno Susanti, Seni Sutrisna, Irma Wati Syaja'ah, Khoerun Nisa Tika Karlina Rachmawati Toto Winata Toto Winata Yuni Karlina