~yeni

6/13/14

PRESENTASI PENELITIAN Yeni Herdiyeni Departemen Ilmu Komputer FMIPA IPB hGp://cs.ipb.ac.id/~yeni

Department of Computer Science Bogor Agricultural University

Audience Attention


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Better Approach


Topik •  PeneliOan = percobaan + menulis + presentasi + publikasi •  Menulis Makalah vs Presentasi •  Tips Presentasi –  Membuat materi presentasi –  Cara Presentasi


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Makalah vs Presentasi •  Makalah (Paper)

•  Presentasi

The Beef

The Beef AdverOsement


Kenali Audience •  Siapa yang hadir? –  Ilmuwan/peneliti yang sama kepakarannya –  Ilmuwan/peneliti yang berbeda kepakarannya –  Mahasiswa –  Bukan ilmuwan/expert –  Tidak kenal? –  Campuran?


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Kenali Audience •  Yang harus diperhatikan –  Mungkin mereka lelah –  Mungkin mereka bisa membaca buku –  Mereka bertanya “Mengapa saya harus mendengarkan?” –  Pendengar yang bukan expert akan bosan dalam waktu 2 menit –  Pendengar yang expert akan bosan dalam waktu 5 menit Department of Computer Science Bogor Agricultural University

Jadi apa yang harus dilakukan saat presentasi ?

1.  Menjelaskan moOvasi (20%) 2.  Menjelaskan Ide PeneliOan (80%)


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Apa yang harus dilakukan •  Motivasi penelitian – awali dengan motivasi penelitian dengan ilustrasi yang mudah dipahami •  Deskripsi singkat hasil – berikan secara singkat hasil penelitian •  Visualisasi – Ilustrasikan ide dengan gambar dan diagram


•  Tahu masalah dan penOngnya masalah •  Tahu solusi yang diberikan dan perbedaan dengan peneliOan yang lain •  Tahu roadmap/literature


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Gunakan Contoh Pentingnya contoh untuk menunjukkan: –  Motivasi –  ilustrasi intuisi –  solusi (baby problem) –  Extreme cases


Struktur Presentasi •  Latar Belakang –  Definisi Masalah (moOvasi dan tujuan) –  PeneliOan Sebelumnya –  Metode yang digunakan (ide, kontribusi)

•  Metodologi •  Hasil Percobaan •  Kesimpulan dan Saran

Tidak Ada Tinjauan Pustaka!


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Latar Belakang •  Judul: Iden6fikasi Penyakit Padi dan Penilaian Keparahan Penyakit Menggunakan Deskriptor Fraktal dan Luas Tanaman Terinfeksi •  Pilih maks Tiga (3) kata kunci : –  IdenOfikasi penyakit padi –  Penilaian Ongkat keparahan –  Deskriptor Fractal

•  Jelaskan semua kata kunci tersebut di latar belakang Department of Computer Science Bogor Agricultural University

Penelitian Sebelumnya •  Pahami penelitian sebelumnya dengan baik •  Jangan menuliskan semua paper yang dibaca. Tulis yang relevan saja. •  Jangan membaca judul penelitian, tetapi jelaskan apa hasil penelitian sebelumnya dan apa keterkaitannya dengan penelitian yang kita lakukan •  Tuliskan daftar penelitian diakhir slide. Department of Computer Science Bogor Agricultural University

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Metodologi 1.  Menjelaskan tahapan penelitian 2.  Gunakan ilustrasi gambar untuk menunjukkan tahapan penelitian (jangan terlalu banyak menuliskan kalimat) 3.  Jangan terlalu banyak menggunakan persamaan matematika 4.  Siapkan slide tambahan untuk penjelasan setelah presentasi bila ditanyakan. Department of Computer Science Bogor Agricultural University

Contoh Metode PeneliOan IdenOfikasi Penyakit Padi

Akuisisi Citra

Penilaian Keparahan Penyakit

Praproses Citra

Praproses Citra

Ekstraksi Fitur

Pemisahan Tanah dan Tanaman

Klasifikasi Penyakit

Pemisahan Tanaman Terinfeksi dan Sehat

Menggunakan deskriptor fraktal Fourier (Florindo dan Bruno 2012)

Menggunakan probabilis)c neural network.

Menggunakan greenness-‐lightness index (Kirk et al. 2009).

Menggunakan threshold Otsu pada komponen A warna CIELab

Evaluasi Penghitungan Persentase Tanaman Terinfeksi Department of Computer Science Bogor Agricultural University

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1.  Preprocessing

1.  Preprocessing 2.  Filtering Where were you? 2.  Filtering 3.  Texture ExtracOon

3.  Texture Extraction 4.  Decision Trees 4.  Decision Trees 5.  ClassificaOon 5.  Classification

•  People will get lost during your talk, even those who are listening –  have a running outline of the main steps of your idea (more than the talk itself) –  use visual clue to highlight where you are in the process –  present it at the beginning of each step


IdenOfikasi Penyakit Padi Praproses Citra

Akuisisi Citra

Citra bercak penyakit 100 citra untuk seOap kelas penyakit

Komponen S di HSV

Histogram EqualizaOon


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Kesimpulan •  Gunakan kalimat yang efekOf dan “kuat” untuk menyampaikan point utama dari presentasi sehingga mudah diingat •  Jangan menggunakan kalimat panjang •  Menjelaskan “future works” apa yang bisa dilakukan selanjutnya


Saran •  Menjelaskan perbaikan yang bisa dilakukan untuk mengatasi kekurangan peneliOan •  Jangan menyarankan metode lain yang Odak dilakukan dalam peneliOan. Misal peneliOan menggunakan metode A, lalu disarankan menggunakan metode B


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YENI HERDIYENI

DESAIN SLIDE PRESENTASI Department of Computer Science Bogor Agricultural University

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I. 

Fusce ullamcorper 1.  Lorem 2.  Augue viverra mollis 3.  Quisque trisOque II.  dapibus dui, sed mollis 1.  Turpis 2.  Tempus 3.  Mauris lacinia 4.  Ultricies mauris III.  varius nibh loborOs et 1.  Euismod 2.  Condimentum id id est 3.  Sed sit amet ligula IV.  vitae est pulvinar 1.  Suspendisse at nisi 2.  Nullam loborOs arcu 3.  A magna consequat 4.  Suspendisse ornare 5.  Ante id erat tempor


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Slide Structure – Good •  •  •  • 

Use 1-‐2 slides per minute of your presentaOon Write in point form, not complete sentences Include 4-‐5 points per slide Avoid wordiness: use key words and phrases only


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Slide Structure -‐ Bad •  This page contains too many words for a presentaOon slide. It is not wriGen in point form, making it difficult both for your audience to read and for you to present each point. Although there are exactly the same number of points on this slide as the previous slide, it looks much more complicated. In short, your audience will spend too much Ome trying to read this paragraph instead of listening to you. Department of Computer Science Bogor Agricultural University

Slide Structure – Good •  Show one point at a Ome: –  Will help audience concentrate on what you are saying –  Will prevent audience from reading ahead –  Will help you keep your presentaOon focused


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Slide Structure -‐ Bad •  Do not use distracOng animaOon •  Do not go overboard with the animaOon •  Be consistent with the animaOon that you use


Fonts -‐ Good •  Use at least an 18-‐point font •  Use different size fonts for main points and secondary points –  this font is 24-‐point, the main point font is 28-‐ point, and the Otle font is 36-‐point

•  Use a standard font like Times New Roman or Arial


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Fonts -‐ Bad • 

If you use a small font, your audience won’t be able to read what you have wriGen

•  CAPITALIZE ONLY WHEN NECESSARY. IT IS DIFFICULT TO READ •  Don’t use a complicated font


Colour -‐ Good •  Use a colour of font that contrasts sharply with the background –  Ex: blue font on white background

•  Use colour to reinforce the logic of your structure –  Ex: light blue Otle and dark blue text

•  Use colour to emphasize a point –  But only use this occasionally Department of Computer Science Bogor Agricultural University

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Colour -‐ Bad •  Using a font colour that does not contrast with the background colour is hard to read •  Using colour for decoraOon is distracOng and annoying. •  Using a different colour for each point is unnecessary –  Using a different colour for secondary points is also unnecessary

•  Trying to be creative can also be bad Department of Computer Science Bogor Agricultural University

Background -‐ Good •  Use backgrounds such as this one that are aGracOve but simple •  Use backgrounds which are light •  Use the same background consistently throughout your presentaOon Department of Computer Science Bogor Agricultural University

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Background – Bad •  Avoid backgrounds that are distracOng or difficult to read from •  Always be consistent with the background that you use


Colors and Backgrounds


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Graphs -‐ Good •  Use graphs rather than just charts and words –  Data in graphs is easier to comprehend & retain than is raw data –  Trends are easier to visualize in graph form

•  Always Otle your graphs



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Graphs -‐ Bad Blue Balls Red Balls

January February 20.4 27.4 30.6 38.6

March 90 34.6

April 20.4 31.6


Graphs -‐ Good Items Sold in First Quarter of 2002 100 90 80 70 60

Blue Balls Red Balls

50 40 30 20 10 0 January

February

March

April


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Graphs -‐ Bad 100 90

90

80

70

60 Blue Balls

50

Red Balls 38.6

40

34.6 31.6

30.6 27.4

30 20.4

20.4

20

10

0 January

February

March

April


Graphs -‐ Bad •  •  •  •  • 

Minor gridlines are unnecessary Font is too small Colours are illogical Title is missing Shading is distracOng


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Preparing the presentation •  Prepare the slides in advance •  Show them to friends •  When you think you are done read them again •  Check all animations with the sound on J


Preparing the presentation •  Practice, practice, practice –  Give a practice talk to a general audience –  Give a practice talk to an audience of expert –  Time your presentation (allow for speed up effect caused by nervousness)

•  Always assume technology will fail you. Have backups.


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Delivering the talk •  Be enthusiastic! If you aren’t why should the audience be? •  Make eye contact with the audience •  Identify a few “nodders” and speak to them •  Watch for questions. Be prepare to digress or brush off when irrelevant


Delivering the talk •  Point at the screen not the computer •  Do not read directly from the PPT or your notes •  Have the “spill” for the first couple of slides memorized in case you go blank •  Finish in time


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Handling questions •  Different types – handle accordingly –  Need clarification –  Suggest something helpful –  Want to engage in research dialog –  Show that he/she is better than you

•  Anticipate questions (additional slides) •  Don’t let them highjack the talk (postpone)


How can I get better? •  Practice every chance you can •  Observe others –  Steal good presentation ideas –  Notice all the things that turned you off

•  Seek comments from friends and mentors


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Spelling and Grammar •  Proof your slides for: –  speling mistakes –  the use of of repeated words –  grammaOcal errors you might have make

•  If English is not your first language, please have someone else check your presentaOon! Department of Computer Science Bogor Agricultural University

TERIMA KASIH Department of Computer Science Bogor Agricultural University

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~yeni

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