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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science Frontiers in Community Service and Empowerment Jurnal Teknokes
Bambang Guruh Irianto
Department Of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Nursing Other

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

 1 
Identification of Lung Cancer Using a Back Propagation Neural Network Bambang Guruh Irianto; Mohamad Ridha Mak'ruf; Dyah Titisari
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp91-97

Abstract

Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.
Technology Content Analysis with Technometric Theory Approach to Improve Performance in Radiodiagnostic Installation Bambang Guruh Irianto; Abdul Rahman; Herry Andayani
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Installation Radiodiagnostic RSU Haji Surabaya facilitated some medical equipment for disease examinations  and have three  technology criteria: Examination by high technology equipment   (single-slice CT Scan), examination by intermediate equipment (General x-ray ≤ 300 mA / 125 KV) and examination by simple equipment  (Portable Dental x-ray ≤ 8 mA / 70 KV). When viewed in terms of revenue contribution to the Hospital, Radiodiagnostic Installation revenue from 2008 to 2012 has decreased continuously.  The aim of research for  measuring the contribution of each component technology: Tehnoware, Humanware, Inforware, and Orgaware on radiodiagnostic installation with the basic technometric theory approach  using indicator TCC (Technology Contribution Coefficien). The final results showed that a gap is almost evenly from the three technology components Humanware = 0519, Inforware = 0.538, orgaware = 0.534, but the gap is greatest in technology components Technoware = (0387, 0258, 0168), meaning that the strategy development units Radiodiagnostic  Installation prioritized to increase in aspect Technoware (rejuvenation medical equipment). DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7676
Co-Authors ., Sumber Abdul Kholik Abdul Rahman Abhishek Mishra Achmad Rizal Ade Ryan Endarta Ahmad Fanani Andayani, Dwi Herry Andjar Pudji Anggraini, Navira Anita Miftahul Maghfiroh Bahaa Eddine ELBAGHAZAOUI Budhiaji Budhiaji Candra Prastyadi Dwi Herry Andayani Dwi Herry Andayani Dyah Purwitosari Dyah Titisari Dyah Titisari Elmira Rofida Al Haq Endro Yulianto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Fahrudin Y., Muhamad Fathul Huda Fransiska Ima Setia Ningsih Gumiwang, Her Hafsa Aamir Hanna Firdaus Her Gumiwang Ariswati Her Gumiwang Ariswati Herry Andayani Huynh, and Phuoc-Hai Huynh, Phuoc-Hai I Dewa Gede Hari Wisana I KOMANG YOGI MAHARDIKA Indrato, Tri Bowo Jing Lu Kholiq, Abd Kumbhare, Ashish Lamidi Lamidi Lamidi, Lamidi Levana Forra Wakidi Liliek Soetjiatie Luthfiyah, Sari Luthfiyah, Sari Madeha Ishag Adam Maghfiroh, Anita Mifthahul Mahardika, Melva Mansour Asghari Mifthahul Maghfiroh, Anita Mohamad Ridha Mak'ruf Mohanad Abdulhamid Muhammad Amir Maruf Muhammad Fauzi Muhammad Fuad Nurillah Muhammad Iqbal Muhammad Jundi Al'Aziz Muhammad Nezar Abdullah Mufarid Mukhamad Ryan Nur Rokhman Nora Bouzeghaia Nuril Hidayanti Pawana, I Putu Alit Phuoc-Hai Huynh Prastawa Asalim Tetra Putra Purwitosari, Dyah Rathod, Yagnik Rifky Maulana Fuadi Rizki Andriyanto Sari Luthfiyah Shubhrojit Misra Shubhrojit Misra Steyve Nyatte Syaifudin Syaifudin, Syaifudin Tetra Putra, Moch Prastawa Assalim Torib Hamzah Triwiyanto Triwiyanto Vishwajeet Shankhwar Wibowo, Agus Susilo