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Page 1: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet
Page 2: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.

Name Prof. Dr. Eng. Wisnu Jatmiko S.T., M.Kom.

Bachelor Universitas Indonesia

Master Universitas Indonesia

Doctoral Nagoya University, Japan

ResearchExp.

During 2009- 2020, there are More Than 50 Grants and 180 international publications that are mostly indexed in Scopus and Google Scholar, 12 BOOKs, and 9 Copyrights

In 2015, HABIBIE CENTER has awarded me as one of the WINNER OF Habibie Award in the engineering category.

In 2014, received an award as a research ambassador (Widyasilpawijana) from the Ministry of Research and TechnologyProfil lengkap dapat dilihat di:

http://staff.ui.ac.id/wisnuj

Page 3: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Profil SCOPUS

Page 4: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Profil Google Scholar

Page 5: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

https://lumbung.cs.ui.ac.id/d/70feccff0b/

Page 6: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

6

https://www.cs.ui.ac.id/index.php/master-program-computer-science.html?lang=en

Page 7: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

7

https://www.cs.ui.ac.id/index.php/doctorate-program-computer-science.html?lang=en

Page 8: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

IEEE at Glance

Page 9: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

IEEE at a Glance

9

425,000+

Members

1,800+

Annual Conferences

190+

Countries

46

Technical Societies an

d Councils

170+

Top-cited Periodicals

Our Global Reach

Our Technical Breadth

4,000,000+

Technical Documents

Page 10: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Membership Development Activities

33

25

396

258

1363

44

4

5

Affiliate

Associate Member

Student Member

Graduate Student Member

Member

Senior Member

Life Member

Life Senioar Member

0 500 1000 1500

2018

20192129

1853

Active members

31 Years of IEEE Indonesia Section part of IEEE Global

Technical activities, non-technical activities, workshop, seminar, conferences

Conducted to raise awareness of IEEE and the introductions included background on the societies and encouragement to join IEEE

Page 11: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Indonesia Membership 2019

Page 12: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

JOIN IEEE MEMBER

◎ Silahkan melakukan akses kehttps://www.ieee.org/

◎ Pilih Membersip, lalu pilih Join IEEE

12

,,,,,

Page 13: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

◎ Kemudian pilih salah satu akan join sebagai apa? Sesuai status akademisianda (sebagi Professional atauStudent)

◎ Setelah itu, buat akun baru dan lakukan pengisian Biodata Lengkap

◎ Terakhir, lakukan pembayaran.

13

Page 14: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Topik Penelitian di Lab Prof. Wisnu Jatmiko

14

Page 15: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Track Record Proposal Penelitian

15

No. Tahun Judul Proposal PenelitianPendanaan

Sumber*

1 2018 Research Collaboration on Applied Intelligent Systems World Class Profesor

2 2018Pengembangan Sistem Telehealth Cerdas Terintegrasi Berbasiskan Perangkat Portable dan Big Data Analytic Platform untuk

Meningkatkan Pelayanan Kesehatandi Indonesia INSINAS-IRPK

3 2018Pengembangan Swarm Mobile Robot untuk Pemetaan dan Pemantauan Kondisi Tanaman di Area Perkebunan dan Persawahan untuk

Meningkatkan Efisiensi Produksi PertanianPenelitian Tim Pasca Sarjana

4 2018 Sistem Pengukuran Nilai Tanah dan Bangunan secara Otomatis berbasis Data LIDARPenelitian Strategis Nasional

Institusi

5 2017Pengembangan Swarm Mobile Robot Untuk Patroli Di Area Pabrik Industri Dan Sistem Pengenalan Bayi Dan Balita Menggunakan Sidik

Jari Pada Proses Vaksinasi Di Indonesia

Penelitian Unggulan Perguruan

Tinggi

6 2017Pengembangan Swarm Mobile Robot Untuk Pemetaan dan Pemantauan Kondisi Tanaman Di Area Perkebunan dan Persawahan Untuk

Meningkatkan Efisiensi Produksi PertanianPenelitian Tim Pasca Sarjana

7 2017 Implementasi dan Pengembangan Algoritma Pelacakan Kendaraan untuk Meningkatkan Pengawasan Kendaraan

Hibah Publikasi Internasional

Terindeks untuk Tugas Akhir

Mahasiswa

8 2017 Sistem Pemantauan, Analisis, dan Prediksi Kualitas Udara (CO2)

Hibah Publikasi Internasional

Terindeks untuk Tugas Akhir

Mahasiswa

9 2017 Sistem Telehealth Berbasis Big Data Biomedis Terintegrasi Secara Real Time Untuk Meningkatkan Pelayanan Kesehatan INSINAS-IRPK

Page 16: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Track Record Proposal Kompetisi

◎ Sistem Pengaturan Lampu Lalu Lintas Terdistribusi (2010)

◎ Sistem Pendeteksian Dini Penyakit Jantung (2011)

◎ Sistem Autonomous Mobile Robot untuk Pemulihan Jaringan (2011)

◎ Sistem Isyarat Bahasa Indonesia (2012) – Medali Emas

◎ Sistem Monitoring CO2 dengan Menggunakan Wireless (2016) – MedaliPerak

◎ Sistem 4 Sehat 5 Sempurna (2017) – Medali Emas

◎ Sistem Pendeteksi Kantuk (2018) – Medali Emas

◎ Sistem Peringatan Secara Real-Time dengan Object Detection dan Classification untuk Tunanetra (2018) – Medali Perak

16

Page 17: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Outline Presentasi

17

◎ Skema Hibah Riset

◎ Penyampaian Ide yang Efektif◎ Mencari Keterbaruan

◎ Teknik Persuasi Melalui Tulisan○ Konsep dan Desain Sistem○ Menyampaikan Hasil Preliminaries○ Persiapan Lainnya

◎ Etika dalam Proposal

◎ Ringkasan◎ Contoh Proposal

Page 18: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Skema Hibah Riset

• Skema Penelitian terbagi menjadi Tiga (Sesuai dengan TRL/TKT): Riset Dasar, Riset Terapan, dan Riset Pengembangan

18

Page 19: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Skema Hibah Riset [1]

• Skema riset dasar: outputnya adalah artikel ilmiah pada jurnal dan prosiding

19

Skema Penelitian Luaran Wajib

Penelitian Dasar

Penelitian Kerja Sama Luar

Negeri (PKLN)

- Satu artikel ilmiah

jurnal internasional

bereputasi per tahun

- Luaran tambahan

Penelitian Berbasis

Kompetensi (PBK)

- Satu artikel ilmiah

jurnal internasional

bereputasi per tahun

- Buku Ajar

- Luaran tambahan

Tahapan Seleksinya

Page 20: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Skema Hibah Riset [2]

• Skema riset terapan: outputnya adalah purwarupa, HKI

20

Tahapan Seleksinya

Skema Penelitian Luaran Wajib

Penelitian Terapan

Penelitian Strategis Nasional (PSN) - Hak Kekayaan Intelektual

(HKI) atau proses produk

(purwarupa, model,

kebijakan, dan lainnya)

- Luaran tambahan

Penelitian Penciptan dan Penya-

jian Seni (P3S)

- Karya cipta seni yang

dipamerkan pada tingkat

regional, nasional, maupun

internasional

- Buku dokumentasi

- Luaran tambahan

Penelitian Unggulan Strategis - Hak Kekayaan Intelektual

V V V

V V V

V V V

V V V

V V

PSN

P3S

PUSN

PTUPT

Penetapan Pemenang

Kunjungan Lapangan

Pemaparan/ Pembahasan

Penilaian Proposal Secara Daring

Penilaian Dokumen Pra-Proposal

Page 21: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Skema Hibah Riset [3]

• Skema riset pengembangan: outputnya adalah produk jadi

• Skema riset Insentif Riset Sistem Inovasi Nasional (INSINAS)• INSINAS Individu: Riset Dasar dan Terapan

• INSINAS Pratama: Riset Terapan

• INSINAS Utama: Riset Pengembangan

• Tahapan Seleksinya

21

Page 22: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Cara Menulis Proposal yang Efektif dan Persuasif

22

Penyampaian ide

yang efektif

Teknik persuasi

melalui tulisan

Etika dalam

menulis proposal

Page 23: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Penyampaian Ide yang Efektif

23

◎ Mencari ide: ○ Studi literature○ Mencari sumber permasalahan:

◉ hasil observasi sehingga timbul rasa heran,◉ terdapat penyimpangan antara pengalaman dengan kenyataan,◉ terdapat penyimpangan antara yang direncanakan dengan ke-nyataan,◉ ada pengaduan, dan◉ ada kompetisi.

Page 24: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Penyampaian Ide yang Efektif (1)

24

Ide dari Kondisi Terkini Global

◎ Menemukan permasalahan yang mendesak○ Misal: Pengenalan Pola Persebaran untuk

Mengurangi Resiko COVID-19

◎ Meneliti permasalahan yang berdampak luas○ Misal: Penelitian proporsi makan otomatis

untuk menanggulangi Stunting di Indonesia

◎ Masalah spesifik○ Misal: Penelitian alat bantu tuna netra

dengan sensor gerak

◎ Tantangan untuk penambahan nilai teknologi○ Misal: Pembuatan pembangkit listrik

murah

Page 25: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Penyampaian Ide yang Efektif (2)

25

◎ Penyampaian ide dengan ilustrasi gambar.

Page 26: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Mencari Keterbaruan

26

◎ Matriks Penelitian

Penelitian Hardwa

re

Metode Hasil

He J1, Choi W2, Yang Y3, Lu J4, Wu X5, Peng K5.

Detection of driver drowsiness using

wearable devices: A feasibility study of the

proximity sensor.

2017 Nov;65:473-480. doi:

10.1016/j.apergo.2017.02.016. Epub 2017 Apr

15.

Promxity

sensor dari

google glass

Promxity sensor dari google

glass digunakan untuk

memonitor frekuensi kedipan

mata. Simulasi berkendara

dilaksanakan untuk validasi

system. Performa berkendara

dan kedipan mata di

bandingkan antara kondisi

sadar dan kantuk ketika

berkendara

Pengendara yang mengantuk

menghasilkan frekuensi kedipan

yang lebih tinggi, menghasilkan

waktu respon rem yang lebih lama

dan meningkatkan deviasi garis

ketimbang pengendara sadar

Barış Guksa ; Burcu Erkmen

Smart phone application for drowsiness

detection during driving

Date of Conference: 14-16 April 2017

smartphone Applikasi smartphone

digunakan untuk deteksi

kantuk selama berkendara

dengan mengikuti pergerakan

pengendara. Kedipan mata

juga digunakan untuk

menentukan kondisi kelelahan

Smartphones berguna untuk deteksi

kantuk selama berkendara dan

program yang dibuat mencapai goals

yang diinginkan

Page 27: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Mencari Keterbaruan

27

◎ Matriks Penelitian

No Author Year Algorithm Data Result

1 Qi et al. 2017 PointNet S3DIS Accuracy 78,50%

2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30%

3 Ayrey

et al.

2018 3DCNN (Inception V3,

LeNet 3D, ResNet,

GoogleNet

Forest LiDAR R2 Inception V-3 0,69

4 Zhang

et al.

2018 GCNN

(Graph CNN)

ModelNet10 Accuracy 89,51%

5 Wang

et al.

2018 DGCNN

(Dynmic Graph CNN)

S3DIS Accuracy 84,10%

6 Propos

ed

2019 Adaptive update with

covariance in

DGCNN

Kupang

LiDAR

Presented in this

research

Page 28: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan

28

◎ Tulisan atau ringkasan yang efektif

Menjadi lebih efektif

Page 29: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (1)

29

◎ Visualisasi yang representatif

◎ Otak manusia dapat belajar ataumenangkap informasi dengan lebihcepat dengan representasi visualnya

◎ Penambahan gambar dan tabel, bukanhanya sebagai pemanis tulisan saja,tetapi juga dapat digunakan sebagaimedia penyampai pesan yang efektifdan persuasif asalkan penggunaannyasesuai.

Page 30: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (3)

30

Konsep dan Desain Sistem

Mock-Up

Contoh ArsitekturProposal yang baik dilengkapi oleh ilustrasi(mock-up) prototipe sistem yang akandibangun dan arsitektur sistemtersebut.

Page 31: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (2)

31

Konsep dan Desain Sistem

Selain Mock-up dan Arsitektur,pemahaman akan komponen lain (contoh: sistem cerdas) yang ditanamkan jugaharus dimiliki

Page 32: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (2)

32

Menyampaikan Hasil Preliminaries

Proposal yang baik, harus terdapat penelitian yang pernah dilakukan sebelumnya.Hal ini akan menggambarkan keseriusan pengusul proposal.

Hasil Preliminariesdari Sistem isyaratBahasa Indonesia

Page 33: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (2)

33

Menyampaikan Hasil Preliminaries

Hasil preliminaries daripenerapan algoritmaextended position untukrobot pemulih jaringan.

Page 34: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (2)

34

PersiapanLainnya

Membuat homepage yang dapat diakses reviewer untuk melihat kesiapan pengusul.

INSINASKonsorsiumbiomedindo.org

Page 35: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Teknik Persuasi Melalui Tulisan (2)

35

PersiapanLainnya

Membuat homepage yang dapat diakses reviewer untuk melihat kesiapan pengusul.

SistemPendeteksiKantuk

Page 36: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Etika dalam Proposal

36

◎ Etika dalam penelitian (Resnik, D.B.)○ Kejujuran○ Objektivitas○ Integritas○ Kehati-hatian○ Keterbukaan○ Menghargai hak milik intelektual○ Kerahasiaan○ Publikasi yang bertanggung jawab○ Bimbingan yang bertanggung jawab○ Menghargai kolega○ Tanggung jawab sosial

○ Tidak mendiskriminasi○ Kompetensi○ Legalitas○ Perlindungan hewan○ Proteksi terhadap subjek

manusia

Page 37: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Ringkasan

37

Untuk keberhasilan dalam membuat proposal untuk Kompetisi agar Lolos, beberapa halyang perlu diperhatikan:

◎ Membaca Panduan/Peraturan Hibah Secara Seksama○ Tanggal-tanggal penting (deadline submission)○ Detil kelengkapan proposal dan lampiran○ Formatting proposal hibah (Design Mock-Up)

◎ Proses pengumpulan proposal○ Mempersiapkan jauh sebelum deadline:

◎ Merancang target luaran○ Optimis namun tetap realistis○ Melihat track record peneliti○ Melihat kesiapan anggota

Page 38: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: Gemastik

38

Prototipe Sistem Pendeteksian Dini Penyakit Jantung Berdasarkan SinyalElektrokardiogram Menggunakan Algoritma Fuzzy Learning Vector Quantization (2011)

Arsitektur Sistem yang JelasTerdapat gambaran Mock-up

atau prototipeTerdapat hasil preliminaries

Page 39: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: WCP

39

Research Collaboration on Applied Intelligent Systems (2018)

Track Record Peneliti

Page 40: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh

Proposal: WCP

40

Research Collaboration on AppliedIntelligent Systems (2018)

Roadmap Penelitian yang Jelas

Page 41: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: WCP

41

Research Collaboration on Applied Intelligent Systems (2018)

Luaran

Page 42: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: INSINAS

42

Sistem Telehealth berbasis Big Data Biomedis Terintegrasi secara Real-time untukmeningkatkan Pelayanan Kesehatan (2017)

Tim yang Solid

Page 43: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: INSINAS

43

Sistem Telehealth berbasis Big Data Biomedis Terintegrasi secara Real-time untukmeningkatkan Pelayanan Kesehatan (2017)

Tim yang Solid: Komitmendan Keseriusan Peneliti

Page 44: Profil Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.€¦ · 2 Qi et al. 2017 PointNet++ ModelNet40 Accuracy 83,30% 3 Ayrey et al. 2018 3DCNN (Inception V3, LeNet 3D, ResNet, GoogleNet

Contoh Proposal: INSINAS

44

Sistem Telehealth berbasis Big Data Biomedis Terintegrasi secara Real-time untukmeningkatkan Pelayanan Kesehatan (2017)

Roadmap Penelitian yang Jelas

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Contoh Proposal: INSINAS

45

Sistem Telehealth berbasis Big Data Biomedis Terintegrasi secara Real-time untukmeningkatkan Pelayanan Kesehatan (2017)

Pembagian Tugas dan Target Capaian yang Jelas

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Contoh Proposal: KRUPT

46

Pengembangan Integrated Smart Portable Telehealth USG System untuk MeningkatkanIndeks Kesehatan Ibu dan Bayi di Indonesia

Permasalahan yang Urgent

Mortality Rate yang tinggi

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Contoh Proposal: KRUPT

47

Pengembangan Integrated Smart Portable Telehealth USG System untuk MeningkatkanIndeks Kesehatan Ibu dan Bayi di Indonesia

Arsitektur Sistem

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Contoh Proposal: KRUPT

48

Pengembangan Integrated Smart Portable Telehealth USG System untuk MeningkatkanIndeks Kesehatan Ibu dan Bayi di Indonesia

Roadmap Penelitian

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Contoh Proposal: USAID SHERA

49

SMART CITY: Scientific Modeling, Application, Research & Training for City-CenteredInnovation & Technology

Target Luaran

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Contoh Proposal: USAID SHERA

50

SMART CITY: Scientific Modeling, Application, Research & Training for City-CenteredInnovation & Technology

Collaborative Framework

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Contoh Proposal: USAID SHERA

51

SMART CITY: Scientific Modeling, Application, Research & Training for City-CenteredInnovation & Technology

Research Focus yang Jelas

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Contoh Proposal: USAID SHERA

52

SMART CITY: Scientific Modeling, Application, Research & Training for City-CenteredInnovation & Technology

Research Focus yang Jelas

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Professor : Toshio Fukuda Director, Center for Micro-Nano Mechatronics,

Professor, Dept. of Micro-Nano Systems Engineering, Nagoya University

Distinguished Professor, Seoul National University

Toshio Fukuda received the B.A. degree from Waseda University, Tokyo, Japan, in 1971, and the M.S and Dr. Eng. from the University of Tokyo,

Tokyo, Japan, in 1973 and 1977, respectively. In 1977, he joined the National Mechanical Engineering Laboratory. In 1982, he joined the Science

University of Tokyo, Japan, and then joined Nagoya University, Nagoya, Japan, in 1989. Currently, he is Director of Center for Micro-NanoMechatronics and Professor of Department of Micro-Nano Systems Engineering at Nagoya University, where he is mainly involved in the research

fields of intelligent robotic and mechatronic system, cellular robotic system, and micro- and nano-robotic system. He is Distinguished Professor,

Seoul National University since 2009.

Dr. Fukuda is IEEE Region 10 Director-Elect (2011-2012) and served President of IEEE Robotics and Automation Society (1998-1999), Director ofthe IEEE Division X, Systems and Control (2001-2002), and Editor-in-Chief of IEEE / ASME Transactions on Mechatronics (2000-2002). He was

President of IEEE Nanotechnology Council (2002-2003, 2005) and President of SOFT (Japan Society for Fuzzy Theory and Intelligent Informatics)

(2003-2005). He was elected as a member of Science Council of Japan (2008-).

He received the IEEE Eugene Mittelmann Award (1997), IEEE Millennium Medal (2000), IEEE Robotics and Automation Pioneer Award (2004),IEEE Robotics and Automation Society Distinguished Service Award (2005), Award from Ministry of Education and Science in Japan (2005). IEEE

Nanotechnology Council Distinguished service award (2007). Best Googol Application paper awards from IEEE Trans. Automation Science and

Engineering (2007). Best papers awards from RSJ (2004) and SICE (2007), Special Funai Award from JSME (2008), 2009 George Saridis

Leadership Award in Robotics and Automation (2009), IEEE Robotics and Automation Technical Field Award (2010), ROBOMECH Award 2010(2010), The Society of Instrument and Control Engineers Technical Field Award (2010), Distinguished Service Award, The Robotics Society of

Japan (2010), World Automation Congress 2010 (WAC 2010) dedicated to Prof. Toshio Fukuda, Best Paper Award in 2010 International

Symposium on Micro-Nano Mechatronics and Human Science (MHS2010), IEEE Fellow (1995), SICE Fellow (1995), JSME Fellow (2001), RSJ

Fellow (2004), Honorary Doctor of Aalto University School of Science and Technology (2010).

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Prof. Anil K. Jain

University Distinguished Professor in the Departments of Computer Science

& Engineering, and Electrical & Computer Engineering at Michigan State University

Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer

Engineering at Michigan State University. He received a B.Tech. degree from IIT, Kanpur (1969) and M.S. and Ph.D. degrees from Ohio State

University in 1970 and 1973, respectively. His research interests include pattern recognition, computer vision and biometric recognition. His

articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta,Scholarpedia, and MIT Technology Review.

He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society

Technical Achievement award (2003), IEEE W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and IEEE ICDM 2008 Research

Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. NeuralNetworks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and

Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE. He has been listed among the "18 Indian Minds Who

are Doing Cutting Edge Work" in the fields of science and technology.

Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books, including Introduction to Biometrics(2011), Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (first edition: 2005; second edition

2011), Handbook of Fingerprint Recognition (first edition: 2003, second edition: 2009) (received the PSP award from the Association of American

Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a

highly cited researcher (his h-index is 133). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 75 in the Most CitedArticles in Computer Science (over all times) and his paper Data Clustering: A Review (ACM Computing Surveys, 1999) is consistently ranked in

the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.

He is serving as a member of the National Academies panel on Information Technology and previously served on panels on Whither Biometrics

and Improvised Explosive Devices (IED). He also served as a member of the Defense Science Board.

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Lab’s Hall of Fame

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