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All Journal POSITRON Jurnal Teknosains JFA (Jurnal Fisika dan Aplikasinya) Jurnal Fisika FLUX Indonesian Journal of Physics and Nuclear Applications Jurnal Sains dan Edukasi Sains Journal of Science and Science Education Advance Sustainable Science, Engineering and Technology (ASSET) Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat
Giner Maslebu
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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Journal : Advance Sustainable Science, Engineering and Technology (ASSET)

 1 
Quality Assurance Plan on a Linear Accelerator (LINAC) Plane on Nasopharynx Cancer (NFC) by using Prowess Panther 5.10 at Radiotherapy Installation Ken Saras Hospital Pandu Kurnianto; Giner Maslebu; Jodelin Muninggar; Muhammad Hidayatullah
Advance Sustainable Science Engineering and Technology Vol 5, No 2 (2023): May-July
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i2.15247

Abstract

Radiotherapy is the treatment of cancer by using electromagnetic and particle radiation. Nasopharyngeal Cancer (NPC) is one of the difficult case to be treated in radiotherapy because its anatomical location. Precision of radiation dose is part of Quality Assurance Program as the key factor in this treatment. Thus, it is very important to ensure that the output dose of Linear Accelerator (LINAC) matched with result of Treatment Planning System (TPS). This study used Siemens LINAC Type Primus MACH Series 5633 and a set of detectors for Nasopharynx Cancer analysis with 8 field. The total dose of 5,000 cGy divided into 25 fractions with 200 cGy dose per fraction. The 8 fields are irradiated with a target on a detector device. It is then accumulated with PTW-Verisoft software by plotting the results obtained from the detector tool with PTW (phantom) which we have CT Scanned first in PTW-Verisoft. From the total detectors exposed to the radiation, the detector corresponding to PTW is 372 detectors (100%) with unsuitable detector of 0 detectors (0.00%). It is proved that the planning is 100% match for NPC with 8 fields of radiation. Thus, this method is recomended to be implemented for NPC treatment
Artificial Neural Network for Classifying Injected Materials under Ultrasonography Utari, Galuh Retno; Maslebu, Giner; Trihandaru, Suryasatriya
Advance Sustainable Science, Engineering and Technology Vol 3, No 1 (2021): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v3i1.8324

Abstract

We have constructed an artificial neural network (ANN) architecture to classify four different classes of ultrasonography recorded from a jelly box phantom that was injected by iron, glass, or plastic marble, or without any injection. This jelly box was made as a phantom of a human body, and the injected materials were the cancers. The small size of the injected materials caused only little disturbances those could not easily distinguished by human eyes. Therefore, ANN was used for classifying the different kind of the injected materials. The number of original imagestaken from ultrasonographs were not so many, therefore we did data augmentation for providing large enough dataset that fed into ANN. The data augmentation was constructed by pixel shifting in horizontal and vertical directions. The procedure proposed here produced 98.2% accuracy for predicting test dataset, though the result was sensitive to the choice of augmentation area.
Co-Authors Adita Sutresno Agatha Puteri Vitria Wahyuningsih Andreas Setiawan Budhi Kristianto C. Leuwol, Sylvie Debora Natalia Sudjito Dwi Pangestuti Ester Ratna Sari Ferdy S. Rondonuwu Ferdy Semuel Rondonuwu Guritna, Edi Hapsara, Satriya Ary Hermanto Abraham, Rendy Hidayatullah, Muhammad Hindriyanto Dwi Purnomo Jodelin Muninggar, Jodelin Jovi Yuzzer Budiman Karema Sarajar, Dewita Laga, Matius Umbu Mardon Limena Mayasari, Anisa Mohamad Hidayatullah Muhammad Hidayatullah Nahusona, Ferry Nur Aji Wibowo Pandu Kurnianto Picauly, Irma Amy Putri, Carolina Febe Ronicha Putri, Dera Anastasya Sampoerno Shinta Monika Utami Silamai Tya Mariani Famani Siti Fatimah Suryasatriya Trihandaru Teguh Wahyono Utari, Galuh Retno Victory Immanuel Ratar Walangara Nau, Novriest Umbu wendelina anggriani Wisnu Wibisono, Indra Yayi Suryo Prabandari Yohannes Sardjono Yuli Agung Suprabowo, Gunawan