Evaluasi 2014

Tahun 2014 hampir berakhir. Tahun ini alhamdulillah, akhirnya sempat mengupdate catatan kegiatan selama 2014 sebagai bahan evaluasi diri. Ya Allah, terima kasih atas segala kesempatan dan pelajaran yang telah Kau berikan. Berikanlah kami kekuatan untuk dapat berbuat lebih baik lagi pada tahun yad.  (Catatan tahun yll. dapat dibaca di evaluasi 2012,  evaluasi 2011 , evaluasi 2010 , evaluasi 2009, dan evaluasi 2008. )

  1. Award & Grant
    1. Research Grant from Indonesian Ministry of Research & Technology, 2014, “Pengembangan “Portable Malaria Detector” : Instrumentasi Medis untuk Diagnosa Dini Malaria” (Development of Portable Malaria Detector: Medical Instrumentation for early diagnosis of Malaria), Principal Investigator, RT-2014-6085 ((2nd year)
    2. Research Grant from Indonesian Ministry of Research & Technology, 2014, “Pengembangan Sistem Identifikasi berbasis Multimodal Biometrics untuk e-KTP Generasi Kedua” (Development of Multimodal Biometrics Identification System for Indonesian e-ID), team member, RT-2014-0898 (2nd year)
    3. Best presentation in ICT session of Seminar INSINAS 2014, 1 October 2014
  2. Research Topics
    1. Pengukuran kinerja komponen biometrics pada perangkat pembaca KTP elektronik
    2. Development of multimodal biometrics based identification systemIn 2011, Indonesian government started the National electronic ID card (KTP-el) program in Indonesia. The goal of this program is to build an accurate national population database, and ensuring a single identity number (SIN) of residents. The unique identity of each resident is verified using the biometrics data : ten fingerprints, two irides and face obtained from the residences. With a total of 172 million records, this dataset becomes one of the five biggest biometrics dataset in the world, thus opening many academic challenges as well as its potential benefits for the residents. The research activity focused on the quality analysis of the biometrics data, and also developing a better multimodal biometrics system for the next generation.
    3. Development of Computer Aided Diagnosis based from Microscopic Images Obtained from Malaria Thin Blood Smears (Insentif Riset from Indonesian Ministry of Research & Technology) , collaboration with Eijkman Institute for Molecular BiologyArtificial Intelligent has been widely applied in a broad spectrum, from robotics, meteorology, and medical diagnosis. The studies in this field is begin by a motivation to let the machine doing the human’s job and take the advantages over the human inferiority. One of important application of AI is on development of an intelligent system to assisst a medical diagnosis. As reported by Kobayashi (Radiology, 843-848, June 1996) the use of Computer Aided Diagnosis in radiographs analysis will increase the diagnostic accuracy, in particular diagnosis carried out by less experience radiologists. Our study is focused on the AI application for Malaria computer aided diagnosis. Malaria is an infectious tropical disease caused by unicellular protozoan parasite from the genus Plasmodium with 5 species known to infect human by entering bloodstream. Those species are Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale, and Plasmodium knowlesi. It has been reported that malaria caused between 1.5 and 2.7 million deaths every year and, according to WHO, an amount of between US$ 5.0 and US$ 6.2 billion will be required per year for controlling and eliminating malaria globally during 2009 to 2015 periods. In Indonesia, the highest prevalence of malaria is found in remote and forest related areas including Papua, Kalimantan, and Sulawesi where number of medical experts and high quality medical facilities are rarely sufficient. Furthermore, the key to overcome global health problem caused by malaria is through accurate diagnosis. Currently, there are several methods used to pronounce malaria including light microscopy, fluorescent microscopy, rapid antigen detection method, and polymerase chain reaction. Among these techniques, examining both thick and thin Giemsa stained blood smear under light microscope in order to find infecting parasites is considered to be the most sensitive and specific one. Although the use of light microscope in diagnosing malaria offers many advantages, it also has some drawbacks. The condition of blood smear is highly influenced by time and storage. Moreover, confirming negative status of malaria take considerable time and the diagnosis relies heavily on the expertise and experiences of medical practitioner in the field. These disadvantages become a burden in Mass Blood Screening (MBS) and in controlling the spread of malaria in rural area, not to mention in eastern part of Indonesia. Therefore, an automated image analysis system would improve the performance of microscopy by circumventing its main limitation in term of dependency on the ability of medical practitioner to diagnose blood image accurately, thus providing a milestone for fast and accurate diagnosis of malaria in Indonesia remote area. There have been several approaches to develop the algorithm of automated malaria diagnosis. These studies focused on either image processing technique to identify red blood cells and infecting parasites, morphological method for cell image segmentation and parasites detection, automated determination of parasitemia, or color segmentation for status identification. Among these studies, some might be effective in cell segmentation, but less effective in selecting the features, while others achieved high specificity with prepared data sets but were not applicable in the field. The main objective of this study is to propose a new algorithm for automated malaria status identification based on the standard routine used by medical practitioner performing microscopy diagnosis of malaria. The system is developed to segment the image into parts, i.e. to separate blood cells from the background. The result of this stage is followed by classifying each red blood cell as infected or non-infected in two stage classification scheme by first identifying the components of the parasite. The algorithm is expected to provide a positive and negative diagnosis of malaria with comparable sensitivity and specificity to conventional microscopy. This research is partially supported by Research Grant from Indonesian Ministry of Research and Technology.
  3. Publication 
    1. Anto Satriyo Nugroho, Made Gunawan, Vitria Pragesjvara, Miranti Jatnia Riski, Desiani, Ismail Ekoprayitno Rozi, Puji Budi Setia Asih, Umi Salamah, Esti Suryani Two-stage feature extraction to identify Plasmodium ovale from thin blood smear microphotograph, Proc. ofInternational Conference on Data and Software Engineering (ICoDSE) 2014 , pp.189-192, November 26-28, 2014, Bandung
    2. Stewart Sentanoe, Anto Satriyo Nugroho, Maulahikmah Galinium, Reggio N. Hartono, Mohammad Teduh Uliniansyah, Meidy Layooari : Iris Localization using Gradient Magnitude and Fourier Descriptor, Proc. Of International Conference on Advanced Computer Science & Information Systems, pp.177-181, October 18-19, 2014, Jakarta, Indonesia
    3. M. Teduh Uliniansyah, Anto Satriyo Nugroho, Meidy Layooari, Gembong Wibowanto, M. Husni Fahmi : Pengembangan Sistem Fusi Multimodal Biometrics, Proc. Of Seminar Ilmiah Nasional INSINAS, 1-2 Oktober 2014
    4. Anto Satriyo Nugroho, Vitria Pragesjvara, Made Gunawan, Miranti Jatnia Riski, Desiani : Pengembangan “Portable Malaria Detector” : Instrumentasi Medis untuk Diagnosa Dini Malaria, Proc. Of Seminar Ilmiah Nasional INSINAS, 1-2 Oktober 2014
    5. Adrian Rhesa Septian Siswanto, Anto Satriyo Nugroho, Maulahikmah Galinium : Implementation of Face Recognition Algorithm for Biometrics Based Time Attendance System, Proc. Of International Conference on ICT for Smart City (ICISS), Paper code: A-25, 24-25 September 2014
    6. Kevin Arighi Yusharyahya, Anto Satriyo Nugroho, James Purnama, Maulahikmah Galinium : A Comparison of Fingerprint Enhancement Algorithms for Poor Quality Fingerprint Images, Proc. Of International Conference on Advanced Informatics, pp.359-364, 20-21 August 2014
  4. Invited Talk
    1. A.S. Nugroho: Workshop Datamining memakai Weka, UNS Solo, 29 November 2014
    2. A.S. Nugroho: Mining Numbers and Human Life, TEDxITS 1 November 2014  
    3. A.S. Nugroho: Intelligent System and Its Applications, Seminar Nasional di Universitas Ichsan Gorontalo, 18 Oktober 2014
    4. A.S. Nugroho: Computer Aided Diagnosis for malaria Detection, Kuliah tamu di Fisika ITB, 2 Oktober 2014
    5. A.S. Nugroho: Computer Aided Diagnosis for malaria Detection, Joint Symposium on BPPT-RIGST Shizukoa University Collaboration Ceremony, 16 September 2014
    6. A.S. Nugroho: Teknologi Biometrics dalam e-KTP, Seminar Nasional Teknologi Informasi dan Komputasi, Univ. Trunojoyo, 10 September 2014 ( http://senastik.trunojoyo.ac.id/ )
    7. A.S. Nugroho: Artificial Intelligence Application for Malaria Diagnosis based on thin blood smears microphotograph, The fourth Indonesian-American Kavlie Froentiers of Science, presented in Medan, June 22-27, 2014  (Video presentasi dapat dilihat dari http://www.nasonline.org/programs/kavli-frontiers-of-science/past-symposia/2014-idafos.html )
  5. Reviewer & Committee (journal, conference, competition)
    1. International Conference on Advanced Informatics
    2. International Conference on Advanced Computer Science & Information Systems
    3. International Conference on Computer, Control, Informatics and Its Application
    4. International Conference on Neural Information Processing
    5. IT Smart Journal
    6. Journal of Intelligent Systems
  6. Teaching
    1. Pattern Recognition (Swiss German University, Dept. of Information & Communication Technology, Semester 4)
    2. Statistics & Probability  (Swiss German University, Faculty of Information Technology, Semester 4)
    3. Digital Image Processing  (Swiss German University, ICT Department, Faculty of Information Technology, Semester 7)
    4. Multimedia System (Swiss German University, ICT Department, Faculty of Information Technology, Semester 7)
    5. Bioinformatics (Swiss German University, Biomedical Engineering Department, Faculty of Life Science, Semester 7)
    6. Kapita Selekta Teknologi Informasi & Komunikasi : Pengenalan Teknologi Biometrics dan peranannya dalam program KTP elektronik ( UNS Sebelas Maret, Surakarta, Semester 5 )
  7. Supervised/Cosupervised thesis

    1. Early Warning System (EWS) untuk Demam Berdarah Dengue, Rossticha Tazkia, Bioteknologi Universitas Al Azhar Indonesia (expected : 2015)
    2. “Erythrocyte segmentation from thin blood smears microphotograph”, Richard Kartiyanta, IT Dept. Swiss German University (14 July 2014)
    3. “Comparison of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Feature Extraction for face recognition system and implementation for biometrics based time attendance system”, Adrian Rhesa Septian Siswanto, IT Dept. Swiss German University (14 July 2014)
    4. “Development of Iris segmentation module for Iris based biometrics identification system”, Stewart Sentanoe, IT Dept. Swiss German University (14 July 2014)
    5. “A Comparison of Fingerprint enhancement algorithms for Automated Fingerprint identification system”, Kevin Arighi Yusharyahya, IT Dept. Swiss German University (14 July 2014)
    6. “Identifikasi Plasmodium ovale dan Citra Apusan Tipis Darah untuk Computer Aided Diagnosis System (CAD) Pendeteksi Malaria”, Inas Ashilah, Teknik Informatika, Universitas Al Azhar Indonesia (17 Juni 2014)
    7. “Identifikasi Plasmodium malariae dan Citra Apusan Tipis Darah untuk Computer Aided Diagnosis System (CAD) Pendeteksi Malaria”, Isma Hariani, Teknik Informatika, Universitas Al Azhar Indonesia (17 Juni 2014)

Tentang Anto Satriyo Nugroho

My name is Anto Satriyo Nugroho. I am working as research scientist at Center for Information & Communication Technology, Agency for the Assessment & Application of Technology (PTIK-BPPT : Pusat Teknologi Informasi & Komunikasi, Badan Pengkajian dan Penerapan Teknologi). I obtained my doctoral degree (Dr.Eng) from Nagoya Institute of Technology, Japan in 2003. My office is located in Serpong, Tangerang Selatan City.Since 2015, I was appointed as Program Director of R&D activities in Intelligent Computing Laboratory (former name: Digital Signal Processing Laboratory). The activities in the laboratory are organized into three groups : (i) Natural Language Processing (ii) Multimodal biometrics Identification (iii) ICT solution for Tropical Disease. I also enjoy to teach the students, as a part time lecturer in Swiss German University Serpong & UNS Sebelas Maret Surakarta. Should you want to know further information on my academic works, please visit my professional site at http://asnugroho.net
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