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2023

Sustainable Innovation: Solar Power Lights Up Chicken Coops in Grembyangan Village, Sleman

In a corner of Grembyangan Village, Madurejo, Prambanan, Sleman, a sustainable breakthrough is bringing new light and knowledge. The Jago Rejeki Livestock Group, known for their “Jowo Super” chicken breed, has taken a significant step towards sustainability by implementing a Solar Power Plant (PLTS). With a capacity of 320 Wp, this PLTS has been installed in the livestock coop, serving as a symbol of progress and environmental concern.

The installation of the PLTS is not just about illumination. It’s about transformation. By using a 65 Ah dry battery and 5 DC 12V/12W lamps, this PLTS successfully provides lighting for the coop at night, improving the quality of life for the chickens and facilitating the farmers in managing the coop.

Beyond that, this initiative also serves as an educational tool for the residents, especially the members of the livestock group. They are introduced to environmentally friendly advanced technology, learn about the components of the PLTS, as well as its installation and operation. The initiator of this activity, Physics Department Lecturer at Gadjah Mada University, Ihsan Setiawan, M.Sc., has brought significant change to the community.

The implementation of PLTS is also in line with the Sustainable Development Goals (SDGs), particularly in the areas of clean and affordable energy (SDG 7), industry, innovation, and infrastructure (SDG 9), and climate action (SDG 13). This initiative not only reduces dependence on fossil energy but also helps to decrease greenhouse gas emissions, taking small yet crucial steps towards a more sustainable future.

This activity serves as evidence that small steps can make a big impact. Grembyangan Village, through this innovation, showcases how communities can collaborate to achieve sustainability and how technology can be the key to a brighter and greener future. (FNF/RNC)

Read More

Pemberitahuan Yudisium Program Sarjana, Magister dan Doktor untuk Bulan Desember 2023

Diberitahukan kepada para mahasiswa program sarjana, magister dan doktor Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada bahwa yudisium Desember 2023 dijadwalkan pada Jumat, 22 Desember 2023 pukul 13.00 WIB dan penyerahan berkas yudisium dari program studi ke fakultas paling lambat Selasa, 19 Desember 2023.

Selain menyerahkan berkas yudisium, mahasiswa juga diwajibkan untuk mendaftar secara online melalui laman https://simaster.ugm.ac.id dengan menggunakan SSO masing-masing.

Demikian informasi yang dapat kami sampaikan. Atas perhatiannya disampaikan terima kasih.

Read More

Pemberitahuan Yudisium Program Sarjana, Magister dan Doktor untuk Bulan November 2023

Diberitahukan kepada para mahasiswa program sarjana, magister dan doktor Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada bahwa yudisium November 2023 dijadwalkan pada Kamis, 30 November 2023 pukul 13.00 WIB dan penyerahan berkas yudisium dari program studi ke fakultas paling lambat Senin, 27 November 2023.

Selain menyerahkan berkas yudisium, mahasiswa juga diwajibkan untuk mendaftar secara online melalui laman https://simaster.ugm.ac.id dengan menggunakan SSO masing-masing.

Demikian informasi yang dapat kami sampaikan. Atas perhatiannya disampaikan terima kasih.

Read More

Zenith Purisha, S.Si., M.Sc., Ph.D.

Biography

 

Zenith Purisha received the undergraduate and master degrees in Mathematics from Universitas Gadjah Mada, Indonesia, in 2008 and 2011, respectively. In 2018, she received Ph.D degree in Mathematics from University of Helsinki, Finland. She did a postdoctoral program from 2018 to 2020 in Department of Electrical Engineering and Automation (EEA), Aalto University, Finland. Currently, she is a lecturer in Mathematics Department, Faculty of Science at Universitas Gadjah Mada, Indonesia. She is a member of Computational Mathematics research group.

Her expertise is in the field of computational inverse problems with an application to tomographic reconstruction using real data.

 

 

Research interests

 

Zenith’s research is x-ray tomographic reconstruction using computational inversion methods from under-sampled data. Her initial research interest was tomographic inversion using NURBS (Non-Uniform Rational B-Splines) and Markov chain Monte Carlo (MCMC). Present focus is on iterative inversion methods using Gaussian processes and sparsity promoting regularization such as wavelet and shearlets. Her interest also includes dynamic x-ray tomography reconstruction using Kalman filter.

 

 

Students

 

 

 

Publications:

 

  1. Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P. and Martikainen, L., Naaranoja, T., Nincă, I., Ott, J., Petrow, H., Purisha, P., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T. and Winkler, A., 2020. Multispectral photon-counting for medical imaging and beam characterization. Journal of Instrumentation15(02), p.C02024.
  2. Purisha, Z., Jidling, C., Wahlström, N., Schön, T.B. and Särkkä, S., 2019. Probabilistic approach to limited-data computed tomography reconstruction. Inverse Problems35(10), p.105004.
  3. Leino, M.K., Ala-Laurinaho, J., Purisha, Z., Särkkä, S. and Viikari, V., 2019, May. Millimeter-wave imaging method based on frequency-diverse subarrays. In 2019 12th Global Symposium on Millimeter Waves (GSMM) (pp. 84-86). IEEE.
  4. Hakkarainen, J., Purisha, Z., Solonen, A. and Siltanen, S., 2019. Undersampled dynamic X-ray tomography with dimension reduction Kalman filter. IEEE Transactions on Computational Imaging5(3), pp.492-501.
  5. Purisha, Z., Karhula, S.S., Ketola, J.H., Rimpeläinen, J., Nieminen, M.T., Saarakkala, S., Kröger, H. and Siltanen, S., 2018. An automatic regularization method: An application for 3-D X-ray micro-CT reconstruction using sparse data. IEEE transactions on medical imaging38(2), pp.417-425.
  6. Purisha, Z., Rimpeläinen, J., Bubba, T. and Siltanen, S., 2017. Controlled wavelet domain sparsity for x-ray tomography. Measurement Science and Technology29(1), p.014002.
  7. Haario, H., Kallonen, A., Laine, M., Niemi, E., Purisha, Z. and Siltanen, S., 2017. Shape recovery for sparse‐data tomography. Mathematical Methods in the Applied Sciences40(18), pp.6649-6669.
  8. Bubba, T.A., März, M., Purisha, Z., Lassas, M. and Siltanen, S., 2017, August. Shearlet-based regularization in sparse dynamic tomography. In Wavelets and Sparsity XVII (Vol. 10394, pp. 236-245). SPIE.
  9. Purisha, Z. and Siltanen, S., 2016. Tomographic Inversion using NURBS and MCMC. In Forging Connections between Computational Mathematics and Computational Geometry (pp. 153-166). Springer, Cham.
  10. Purisha, Z. and Siltanen, S., 2013, September. Tomographic reconstruction of homogeneous 2d geometric models with unknown attenuation. In IFIP Conference on System Modeling and Optimization (pp. 247-256). Springer, Berlin, Heidelberg.

 

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Wahyono, Ph.D.

 

AREA OF EXPERTISE (DIVISION / GROUP / FIELD)

 

  • COMPUTER SCIENCE/ SOFTWARE ENGINEERING/ INFORMATION SYSTEMS
  • COMPUTER SCIENCE/ ARTIFICIAL INTELLIGENCE/ ALGORITHMS AND COMPUTATION
  • INFORMATION AND COMPUTING SCIENCES/ ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING NOT ELSEWHERE CLASSIFIED/ INTELLIGENCE SYSTEMS

 

 

EDUCATION BACKGROUND

 

  • Doctor, Electrical Engineering, University of Ulsan, Korea, 03/2012 – 08/2017 Thesis : Stationary Object Identification for Vision-based Surveillance System
  • Undergraduate, Ilmu Komputer, Universitas Gadjah Mada, Indonesia, 08/2006 – 08/2010 Thesis : Pemanfaatan Algoritma NDA untuk Pendeteksian Gambar Porno (Utilization of Nudity Detection Algorithm for Detecting Pornographic Image)

 

 

RESEARCH CLUSTER/GROUP

 

  • Computer Vision, Machine Learning and Pattern Recognition, Digital Image Processingcluster – Computer Sciences

 

 

RESEARCH INTEREST

 

  • Computer Vision, Intelligent Surveillance System, Pattern Recognition

 

 

SCHOLARSHIP

 

  • AF-1 Scholarship, University of Ulsan, 2012
  • BK21 Project Scholarship, National Research Foundation of South Korea, 2012
  • Penelurusan Bibit Unggul Berprestasi (PBUB), Universitas Gadjah Mada, 2006

 

 

WORK EXPERIENCE

 

  • Instructure, 09/2012 – 08/2017, Universitas Terbuka Cabang Korea Selatan
  • Research Assistant, 02/2012 – 07/2017, University of Ulsan
  • Web Developer, 08/2009 – 02/2012, PT. Gamatechno Indonesia

 

 

PROFESSIONAL ASSOCIATION

 

  • IEEE, International, 2014
  • IEEE Industrial Electronic Society, International, 2015
  • Indonesia Association of Pattern Recognition (INAPR), National, 2017
  • International Association of Engineers (IAENG), International, 2019

 

 

COMPETENCE/ CERTIFICATION

 

  • Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Tahun 2022 BATCH 1 , – , Date : 2022-07-13
  • Sebagai Pembicara Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Batch 2 , – , Date : 2021-11-09
  • Sebagai Pembicara Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Batch 3 , – , Date : 2021-11-09
  • Sekolah Program Studi Program Pascasarjana “Peran Program Studi Dalam Kepemimpinan Keilmuan dan Kontribusi Pencapaian Indikator Kinerja Utama (IKU) Perguruan Tinggi” , – , Date : 2021-05-27
  • Sosialisasi Peningkatan Kualitas Sumber Daya IPTEK DIKTI Melalui Penelitian dan Perlindungan HKI , – , Date : –

 

 

COURSE SUBJECT

 

  • Computational Intelligence and Machine Learning, 3 credit(s), Master
  • Computer Vision, 3 credit(s), Undergraduate
  • Digital Image Processing, 3 credit(s), Undergraduate
  • Digital Image Processing, 3 credit(s), Master
  • Digital Image Processing, 3 credit(s), Doctor
  • Introduction of Computer Science, 3 credit(s), Undergraduate
  • Machine Vision, 3 credit(s), Undergraduate
  • Programming I, 3 credit(s), Undergraduate
  • Programming II, 3 credit(s), Undergraduate
  • Programming Lab I, 1 credit(s), Undergraduate

 

 

RESEARCH GRANT

 

  • Hibah Penelitian FMIPA UGM 2019, Klasifikasi Tingkat Kepadatan Kendaraan Lalu Lintas Berbasis Convolutional Neural Network, 04/2019 – 10/2019
  • Hibah Pembuatan Menara Ilmu UGM 2018, PEMBUATAN WEBSITE MENARA ILMU MACHINE LEARNING FAKULTAS MIPA UNIVERSITAS GADJAH MADA, 05/2019 – 11/2019
  • Hibah Penelitian Departemen Ilmu Komputer, Pendeteksian Objek Tak Bergerak Untuk Sistem Monitoring Cerdas Berbasis Kamera, 05/2017 – 10/2017
  • Hibah MOOC FMIPA UGM 2019, PENGEMBANGAN KONTEN E-LEARNING MATAKULIAH PENGANTAR ILMU KOMPUTER, 04/2019 – 10/2019
  • Kementerian Riset, Teknologi dan Pendidikan Tinggi – World Class Professor Program, Peningkatan Kualitas Publikasi Internasional dan Hilirisasi Industri Hasil Penelitian Bidang Kecerdasan Buatan., 05/2019 – 11/2019
  • Hibah Penelitian FMIPA UGM 2019, Sistem Perhitungan Otomatis Kendaraan Bermotor Berbasis Pengolahan Citra Digital., 04/2019 – 10/2019

 

 

INDUSTRIAL PROJECT

 

  • Pusat Kurikulum dan Perbukuan, Kementrian Pendidikan dan Kebudayaan RI, Buku Ajar Informatika SMA Kelas X, 06/2020 – 12/2020
  • Mabes TNI Angkatan Darat, Object Detection and Classification for Smart Military System, 07/2020 – 12/2020
  • Toyota Manufacture, Pengembangan Sistem Otomatis Evaluasi Kualitas Welding, 01/2020 – 12/2020
  • Pusat Prestasi Nasional, Kementrian Pendidikan dan Kebudayaan RI, Sistem Kompetisi Sains Nasional Online, 06/2020 – 09/2020
  • PT Rajawali Nusantara Indonesia (RNI), Smart Farming, 07/2020 – 12/2020

 

 

RESEARCH

 

 

 

COMMUNITY SERVICES

 

 

 

INTELLECTUAL PROPERTY

 

 

 

JOURNAL PUBLICATION

 

 

 

BOOK

 

 

 

PROSIDING

 

 

Read More

Umi Mahnuna Hanung, M.Si.

Biography

 

Umi Mahnuna Hanung is a lecturer and researcher of Mathematics at Universitas Gadjah Mada (abbreviated as UGM) in Yogyakarta, Indonesia. She is a member of the Mathematical Analysis Group at the Department of Mathematics of UGM. Umi Mahnuna Hanung received her B.Sc. and M.Sc. in Mathematics from Universitas Brawijaya and Universitas Gadjah Mada directed by Professor M. Hasyim Baisoeni (with Dr. Noor Hidayat) and Professor Soeparna Darmawijaya, respectively. She has been pursuing a Ph.D. study in Mathematics at the University of Amsterdam, the Netherlands, and the Czech Academy of Sciencesthe Czech Republic under the supervision of Professor Ale Jan HomburgProfessor Milan Tvrdy, and Professor Jan Wiegerinck. Umi Mahnuna Hanung has taught a variety of mathematics courses at Universitas Gadjah Mada, Universitas Islam Indonesia, and Universitas Islam Negeri Sunan Kalijaga, from first-year calculus to graduate-level classes in analysis. She has been a frequent presenter/talker at research conferences or seminars.

In the Department of Mathematics UGM, she joins the Mathematical Analysis Research Group and is also a member of a professional organization in Indonesia, namely the Indonesian Mathematical Society (IndoMS).

 

 

Research interests

 

 

Her interest in research is in Measure and Integral Theory, Differential Equations, and their Applications. Recently, she has pursued research on various kinds of the Stieltjes integral mainly using the gauge integration. The Stieltjes integrals have become more popular in differential equations, finite element method/numerical solutions, and other applications such as the approximation of the Fourier transform having implications in digital image processing, economic estimates, and acoustic phonetics, hysteresis, integral equations to game theory, financial market modeling, etc.

 

 

Students

 

 

 

 

Selected Publications:

 

 

  • U. M. Hanung, The Role of Harnack Extension in the Kurzweil-Stieltjes Sense: Integrating Functions over arbitrary Subsets, 2022, preprint. [https://arxiv.org/abs/2207.04426]
  • U. M. Hanung and M. Tvrd´y, On the relationships between Stieltjes type integrals of Young, Dushnik and Kurzweil, Math. Bohem., 144 (4), pp.357–372, 2019. [http://dx.doi.org/10.21136/MB.2019.0015-19]
  • G. A. Monteiro, U. M. Hanung and M. Tvrd´y, Bounded convergence theorem for abstract Kurzweil-Stieltjes integral, Monatshefte f¨ur Mathematik, 180 (3), pp.409–434, 2016. [https://doi.org/10.1007/s00605-015-0774-z]

 

Read More

Sustainable Innovation: Solar Power Lights Up Chicken Coops in Grembyangan Village, Sleman

In a corner of Grembyangan Village, Madurejo, Prambanan, Sleman, a sustainable breakthrough is bringing new light and knowledge. The Jago Rejeki Livestock Group, known for their “Jowo Super” chicken breed, has taken a significant step towards sustainability by implementing a Solar Power Plant (PLTS). With a capacity of 320 Wp, this PLTS has been installed in the livestock coop, serving as a symbol of progress and environmental concern.

The installation of the PLTS is not just about illumination. It’s about transformation. By using a 65 Ah dry battery and 5 DC 12V/12W lamps, this PLTS successfully provides lighting for the coop at night, improving the quality of life for the chickens and facilitating the farmers in managing the coop.

Beyond that, this initiative also serves as an educational tool for the residents, especially the members of the livestock group. They are introduced to environmentally friendly advanced technology, learn about the components of the PLTS, as well as its installation and operation. The initiator of this activity, Physics Department Lecturer at Gadjah Mada University, Ihsan Setiawan, M.Sc., has brought significant change to the community.

The implementation of PLTS is also in line with the Sustainable Development Goals (SDGs), particularly in the areas of clean and affordable energy (SDG 7), industry, innovation, and infrastructure (SDG 9), and climate action (SDG 13). This initiative not only reduces dependence on fossil energy but also helps to decrease greenhouse gas emissions, taking small yet crucial steps towards a more sustainable future.

This activity serves as evidence that small steps can make a big impact. Grembyangan Village, through this innovation, showcases how communities can collaborate to achieve sustainability and how technology can be the key to a brighter and greener future. (FNF/RNC)

Read More

Pemberitahuan Yudisium Program Sarjana, Magister dan Doktor untuk Bulan Desember 2023

Diberitahukan kepada para mahasiswa program sarjana, magister dan doktor Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada bahwa yudisium Desember 2023 dijadwalkan pada Jumat, 22 Desember 2023 pukul 13.00 WIB dan penyerahan berkas yudisium dari program studi ke fakultas paling lambat Selasa, 19 Desember 2023.

Selain menyerahkan berkas yudisium, mahasiswa juga diwajibkan untuk mendaftar secara online melalui laman https://simaster.ugm.ac.id dengan menggunakan SSO masing-masing.

Demikian informasi yang dapat kami sampaikan. Atas perhatiannya disampaikan terima kasih.

Read More

Pemberitahuan Yudisium Program Sarjana, Magister dan Doktor untuk Bulan November 2023

Diberitahukan kepada para mahasiswa program sarjana, magister dan doktor Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada bahwa yudisium November 2023 dijadwalkan pada Kamis, 30 November 2023 pukul 13.00 WIB dan penyerahan berkas yudisium dari program studi ke fakultas paling lambat Senin, 27 November 2023.

Selain menyerahkan berkas yudisium, mahasiswa juga diwajibkan untuk mendaftar secara online melalui laman https://simaster.ugm.ac.id dengan menggunakan SSO masing-masing.

Demikian informasi yang dapat kami sampaikan. Atas perhatiannya disampaikan terima kasih.

Read More

Zenith Purisha, S.Si., M.Sc., Ph.D.

Biography

 

Zenith Purisha received the undergraduate and master degrees in Mathematics from Universitas Gadjah Mada, Indonesia, in 2008 and 2011, respectively. In 2018, she received Ph.D degree in Mathematics from University of Helsinki, Finland. She did a postdoctoral program from 2018 to 2020 in Department of Electrical Engineering and Automation (EEA), Aalto University, Finland. Currently, she is a lecturer in Mathematics Department, Faculty of Science at Universitas Gadjah Mada, Indonesia. She is a member of Computational Mathematics research group.

Her expertise is in the field of computational inverse problems with an application to tomographic reconstruction using real data.

 

 

Research interests

 

Zenith’s research is x-ray tomographic reconstruction using computational inversion methods from under-sampled data. Her initial research interest was tomographic inversion using NURBS (Non-Uniform Rational B-Splines) and Markov chain Monte Carlo (MCMC). Present focus is on iterative inversion methods using Gaussian processes and sparsity promoting regularization such as wavelet and shearlets. Her interest also includes dynamic x-ray tomography reconstruction using Kalman filter.

 

 

Students

 

 

 

Publications:

 

  1. Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P. and Martikainen, L., Naaranoja, T., Nincă, I., Ott, J., Petrow, H., Purisha, P., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T. and Winkler, A., 2020. Multispectral photon-counting for medical imaging and beam characterization. Journal of Instrumentation15(02), p.C02024.
  2. Purisha, Z., Jidling, C., Wahlström, N., Schön, T.B. and Särkkä, S., 2019. Probabilistic approach to limited-data computed tomography reconstruction. Inverse Problems35(10), p.105004.
  3. Leino, M.K., Ala-Laurinaho, J., Purisha, Z., Särkkä, S. and Viikari, V., 2019, May. Millimeter-wave imaging method based on frequency-diverse subarrays. In 2019 12th Global Symposium on Millimeter Waves (GSMM) (pp. 84-86). IEEE.
  4. Hakkarainen, J., Purisha, Z., Solonen, A. and Siltanen, S., 2019. Undersampled dynamic X-ray tomography with dimension reduction Kalman filter. IEEE Transactions on Computational Imaging5(3), pp.492-501.
  5. Purisha, Z., Karhula, S.S., Ketola, J.H., Rimpeläinen, J., Nieminen, M.T., Saarakkala, S., Kröger, H. and Siltanen, S., 2018. An automatic regularization method: An application for 3-D X-ray micro-CT reconstruction using sparse data. IEEE transactions on medical imaging38(2), pp.417-425.
  6. Purisha, Z., Rimpeläinen, J., Bubba, T. and Siltanen, S., 2017. Controlled wavelet domain sparsity for x-ray tomography. Measurement Science and Technology29(1), p.014002.
  7. Haario, H., Kallonen, A., Laine, M., Niemi, E., Purisha, Z. and Siltanen, S., 2017. Shape recovery for sparse‐data tomography. Mathematical Methods in the Applied Sciences40(18), pp.6649-6669.
  8. Bubba, T.A., März, M., Purisha, Z., Lassas, M. and Siltanen, S., 2017, August. Shearlet-based regularization in sparse dynamic tomography. In Wavelets and Sparsity XVII (Vol. 10394, pp. 236-245). SPIE.
  9. Purisha, Z. and Siltanen, S., 2016. Tomographic Inversion using NURBS and MCMC. In Forging Connections between Computational Mathematics and Computational Geometry (pp. 153-166). Springer, Cham.
  10. Purisha, Z. and Siltanen, S., 2013, September. Tomographic reconstruction of homogeneous 2d geometric models with unknown attenuation. In IFIP Conference on System Modeling and Optimization (pp. 247-256). Springer, Berlin, Heidelberg.

 

Read More

Wahyono, Ph.D.

 

AREA OF EXPERTISE (DIVISION / GROUP / FIELD)

 

  • COMPUTER SCIENCE/ SOFTWARE ENGINEERING/ INFORMATION SYSTEMS
  • COMPUTER SCIENCE/ ARTIFICIAL INTELLIGENCE/ ALGORITHMS AND COMPUTATION
  • INFORMATION AND COMPUTING SCIENCES/ ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING NOT ELSEWHERE CLASSIFIED/ INTELLIGENCE SYSTEMS

 

 

EDUCATION BACKGROUND

 

  • Doctor, Electrical Engineering, University of Ulsan, Korea, 03/2012 – 08/2017 Thesis : Stationary Object Identification for Vision-based Surveillance System
  • Undergraduate, Ilmu Komputer, Universitas Gadjah Mada, Indonesia, 08/2006 – 08/2010 Thesis : Pemanfaatan Algoritma NDA untuk Pendeteksian Gambar Porno (Utilization of Nudity Detection Algorithm for Detecting Pornographic Image)

 

 

RESEARCH CLUSTER/GROUP

 

  • Computer Vision, Machine Learning and Pattern Recognition, Digital Image Processingcluster – Computer Sciences

 

 

RESEARCH INTEREST

 

  • Computer Vision, Intelligent Surveillance System, Pattern Recognition

 

 

SCHOLARSHIP

 

  • AF-1 Scholarship, University of Ulsan, 2012
  • BK21 Project Scholarship, National Research Foundation of South Korea, 2012
  • Penelurusan Bibit Unggul Berprestasi (PBUB), Universitas Gadjah Mada, 2006

 

 

WORK EXPERIENCE

 

  • Instructure, 09/2012 – 08/2017, Universitas Terbuka Cabang Korea Selatan
  • Research Assistant, 02/2012 – 07/2017, University of Ulsan
  • Web Developer, 08/2009 – 02/2012, PT. Gamatechno Indonesia

 

 

PROFESSIONAL ASSOCIATION

 

  • IEEE, International, 2014
  • IEEE Industrial Electronic Society, International, 2015
  • Indonesia Association of Pattern Recognition (INAPR), National, 2017
  • International Association of Engineers (IAENG), International, 2019

 

 

COMPETENCE/ CERTIFICATION

 

  • Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Tahun 2022 BATCH 1 , – , Date : 2022-07-13
  • Sebagai Pembicara Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Batch 2 , – , Date : 2021-11-09
  • Sebagai Pembicara Pelatihan Peningkatan Keterampilan Dasar Teknik Instruksional (PEKERTI) Batch 3 , – , Date : 2021-11-09
  • Sekolah Program Studi Program Pascasarjana “Peran Program Studi Dalam Kepemimpinan Keilmuan dan Kontribusi Pencapaian Indikator Kinerja Utama (IKU) Perguruan Tinggi” , – , Date : 2021-05-27
  • Sosialisasi Peningkatan Kualitas Sumber Daya IPTEK DIKTI Melalui Penelitian dan Perlindungan HKI , – , Date : –

 

 

COURSE SUBJECT

 

  • Computational Intelligence and Machine Learning, 3 credit(s), Master
  • Computer Vision, 3 credit(s), Undergraduate
  • Digital Image Processing, 3 credit(s), Undergraduate
  • Digital Image Processing, 3 credit(s), Master
  • Digital Image Processing, 3 credit(s), Doctor
  • Introduction of Computer Science, 3 credit(s), Undergraduate
  • Machine Vision, 3 credit(s), Undergraduate
  • Programming I, 3 credit(s), Undergraduate
  • Programming II, 3 credit(s), Undergraduate
  • Programming Lab I, 1 credit(s), Undergraduate

 

 

RESEARCH GRANT

 

  • Hibah Penelitian FMIPA UGM 2019, Klasifikasi Tingkat Kepadatan Kendaraan Lalu Lintas Berbasis Convolutional Neural Network, 04/2019 – 10/2019
  • Hibah Pembuatan Menara Ilmu UGM 2018, PEMBUATAN WEBSITE MENARA ILMU MACHINE LEARNING FAKULTAS MIPA UNIVERSITAS GADJAH MADA, 05/2019 – 11/2019
  • Hibah Penelitian Departemen Ilmu Komputer, Pendeteksian Objek Tak Bergerak Untuk Sistem Monitoring Cerdas Berbasis Kamera, 05/2017 – 10/2017
  • Hibah MOOC FMIPA UGM 2019, PENGEMBANGAN KONTEN E-LEARNING MATAKULIAH PENGANTAR ILMU KOMPUTER, 04/2019 – 10/2019
  • Kementerian Riset, Teknologi dan Pendidikan Tinggi – World Class Professor Program, Peningkatan Kualitas Publikasi Internasional dan Hilirisasi Industri Hasil Penelitian Bidang Kecerdasan Buatan., 05/2019 – 11/2019
  • Hibah Penelitian FMIPA UGM 2019, Sistem Perhitungan Otomatis Kendaraan Bermotor Berbasis Pengolahan Citra Digital., 04/2019 – 10/2019

 

 

INDUSTRIAL PROJECT

 

  • Pusat Kurikulum dan Perbukuan, Kementrian Pendidikan dan Kebudayaan RI, Buku Ajar Informatika SMA Kelas X, 06/2020 – 12/2020
  • Mabes TNI Angkatan Darat, Object Detection and Classification for Smart Military System, 07/2020 – 12/2020
  • Toyota Manufacture, Pengembangan Sistem Otomatis Evaluasi Kualitas Welding, 01/2020 – 12/2020
  • Pusat Prestasi Nasional, Kementrian Pendidikan dan Kebudayaan RI, Sistem Kompetisi Sains Nasional Online, 06/2020 – 09/2020
  • PT Rajawali Nusantara Indonesia (RNI), Smart Farming, 07/2020 – 12/2020

 

 

RESEARCH

 

 

 

COMMUNITY SERVICES

 

 

 

INTELLECTUAL PROPERTY

 

 

 

JOURNAL PUBLICATION

 

 

 

BOOK

 

 

 

PROSIDING

 

 

Read More

Umi Mahnuna Hanung, M.Si.

Biography

 

Umi Mahnuna Hanung is a lecturer and researcher of Mathematics at Universitas Gadjah Mada (abbreviated as UGM) in Yogyakarta, Indonesia. She is a member of the Mathematical Analysis Group at the Department of Mathematics of UGM. Umi Mahnuna Hanung received her B.Sc. and M.Sc. in Mathematics from Universitas Brawijaya and Universitas Gadjah Mada directed by Professor M. Hasyim Baisoeni (with Dr. Noor Hidayat) and Professor Soeparna Darmawijaya, respectively. She has been pursuing a Ph.D. study in Mathematics at the University of Amsterdam, the Netherlands, and the Czech Academy of Sciencesthe Czech Republic under the supervision of Professor Ale Jan HomburgProfessor Milan Tvrdy, and Professor Jan Wiegerinck. Umi Mahnuna Hanung has taught a variety of mathematics courses at Universitas Gadjah Mada, Universitas Islam Indonesia, and Universitas Islam Negeri Sunan Kalijaga, from first-year calculus to graduate-level classes in analysis. She has been a frequent presenter/talker at research conferences or seminars.

In the Department of Mathematics UGM, she joins the Mathematical Analysis Research Group and is also a member of a professional organization in Indonesia, namely the Indonesian Mathematical Society (IndoMS).

 

 

Research interests

 

 

Her interest in research is in Measure and Integral Theory, Differential Equations, and their Applications. Recently, she has pursued research on various kinds of the Stieltjes integral mainly using the gauge integration. The Stieltjes integrals have become more popular in differential equations, finite element method/numerical solutions, and other applications such as the approximation of the Fourier transform having implications in digital image processing, economic estimates, and acoustic phonetics, hysteresis, integral equations to game theory, financial market modeling, etc.

 

 

Students

 

 

 

 

Selected Publications:

 

 

  • U. M. Hanung, The Role of Harnack Extension in the Kurzweil-Stieltjes Sense: Integrating Functions over arbitrary Subsets, 2022, preprint. [https://arxiv.org/abs/2207.04426]
  • U. M. Hanung and M. Tvrd´y, On the relationships between Stieltjes type integrals of Young, Dushnik and Kurzweil, Math. Bohem., 144 (4), pp.357–372, 2019. [http://dx.doi.org/10.21136/MB.2019.0015-19]
  • G. A. Monteiro, U. M. Hanung and M. Tvrd´y, Bounded convergence theorem for abstract Kurzweil-Stieltjes integral, Monatshefte f¨ur Mathematik, 180 (3), pp.409–434, 2016. [https://doi.org/10.1007/s00605-015-0774-z]

 

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