SlideShare a Scribd company logo
Algoritma
Dijkstra
Oleh Ryan Aunur Rassyid (112010057)
Universitas Islam Lamongan - Mata Kuliah Analisa Algoritma
Pada Tahun 1959
Edsger W. Dikstra
Mempublikasikan jurnal Numerische
Mathematik yang berjudul
“A Note on Two Problems in
Connexion with Graphs”
dimana saat itu digambarkan sebagai
Algoritma Greedy (tamak).
Menurut Wikipedia, Algoritma Dijkstra
adalah sebuah Algoritma Greedy yang dipakai
dalam memecahkan permasalahan jarak
terpendek (shortest path) untuk sebuah
directed graph dengan bobot garis yang
bernilai non-negatif.
Lanjutan
Algoritma Dijkstra merupakan salah satu varian bentuk algoritma populer dalam
pemecahan persoalan yang terkait dengan masalah optimisasi dan bersifat sederhana.
Algoritma ini menyelesaikan masalah sebuah lintasan terpendek (panjang minimum)
dari vortex A ke vortex Z dalam graph berbobot, bobot tersebut adalah bilangan
bernilai non-negatif yang dalam simbol matematikanya adalah [0, Infinity).
Pencarian Heuristic
Suatu fungsi yang menghitung biaya perkiraan
(estimasi) dari suatu simpul tertentu menuju ke simpul
tujuan disebut Fungsi Heuristic.
Algoritma Dijkstra akan melakukan kalkulasi terhadap
semua kemungkinan estimasi terkecil dari setiap titik.
Graph Model
Untuk menggambarkan rute antara satu titik
dengan titik yang lain, maka titik dan rute ini
divisualiasikan ke dalam bentuk Graphical
Model.
Pseudocode
fungsi Dijkstra(Graf, asal):
Q adalah himpunan titik
for each v in Graf:
jarak[v] ← Infinity
sebelum[v] ← Undefined
tambahkan v ke dalam Q
jarak[asal] ← 0;
while Q tidak kosong:
u ← titik dalam Q dengan nilai jarak[u] terkecil
hapus u dari Q
for each tetangga v dari u: // hanya v yang masih dalam Q
alt ← jarak[u] + jarak_antara(u, v)
if alt < jarak[v]:
jarak[v] ← alt
sebelum[v] ← u
return jarak[], sebelum[]
Algoritma Dijkstra
submber: wikipedia
Contoh Soal
Terdapat Graph Model seperti
disamping ini. Berapakah jarak
terpendek dari titik A menuju ke
titik G?
Dari sini Ke sini
Contoh Soal
V A B C D E F G
A 0A 5A 4A ∞ ∞ ∞ ∞
C 5A 4A 12C 15C ∞ ∞
B 5A 12C 15C 11B ∞
F 12C 15C 11B 27F
D 12C 15D 27F
E 15D 21E
G 21E
Jadi hasil rute terpendek dari titik A
ke titik G adalah
A - C - D - E - G
Contoh
Implementasi
Algoritma Dijkstra melakukan kalkulasi
bobot terkecil dari satu node ke node yang
lain. Dijkstra menghitung lintasan
berdasarkan jarak terpendek yang ditempuh
tiap-tiap kota. Lalu jarak terpendek yang
didapat tersebut akan dikalkulasikan untuk
menghitung estimasi penggunaan bahan
bakar dari mobil dinas yang dipakai.
https://unisbank.ac.id/ojs/index.php/sendi_u/article/view/5988
Contoh
Implementasi
Algoritma Dijkstra melakukan kalkulasi rute
tercepat yang dapat ditempuh dari titik awal
(pengguna) ke titik kumpul evakuasi (green
area) terdekat yang tersedia. Pada
implementasinya persimpangan jalan raya
yang menjadi titik nodenya.
https://publikasiilmiah.ums.ac.id/xmlui/handle/11617/4392
Sekian,
Terima Kasih

More Related Content

Featured

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
Marius Sescu
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
Expeed Software
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
Pixeldarts
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
ThinkNow
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
marketingartwork
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
Skeleton Technologies
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
Kurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
SpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Lily Ray
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
Rajiv Jayarajah, MAppComm, ACC
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
Christy Abraham Joy
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
Vit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
MindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
RachelPearson36
 

Featured (20)

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 

Algoritma Dijstra

  • 1. Algoritma Dijkstra Oleh Ryan Aunur Rassyid (112010057) Universitas Islam Lamongan - Mata Kuliah Analisa Algoritma
  • 2. Pada Tahun 1959 Edsger W. Dikstra Mempublikasikan jurnal Numerische Mathematik yang berjudul “A Note on Two Problems in Connexion with Graphs” dimana saat itu digambarkan sebagai Algoritma Greedy (tamak).
  • 3. Menurut Wikipedia, Algoritma Dijkstra adalah sebuah Algoritma Greedy yang dipakai dalam memecahkan permasalahan jarak terpendek (shortest path) untuk sebuah directed graph dengan bobot garis yang bernilai non-negatif.
  • 4. Lanjutan Algoritma Dijkstra merupakan salah satu varian bentuk algoritma populer dalam pemecahan persoalan yang terkait dengan masalah optimisasi dan bersifat sederhana. Algoritma ini menyelesaikan masalah sebuah lintasan terpendek (panjang minimum) dari vortex A ke vortex Z dalam graph berbobot, bobot tersebut adalah bilangan bernilai non-negatif yang dalam simbol matematikanya adalah [0, Infinity).
  • 5. Pencarian Heuristic Suatu fungsi yang menghitung biaya perkiraan (estimasi) dari suatu simpul tertentu menuju ke simpul tujuan disebut Fungsi Heuristic. Algoritma Dijkstra akan melakukan kalkulasi terhadap semua kemungkinan estimasi terkecil dari setiap titik.
  • 6. Graph Model Untuk menggambarkan rute antara satu titik dengan titik yang lain, maka titik dan rute ini divisualiasikan ke dalam bentuk Graphical Model.
  • 7. Pseudocode fungsi Dijkstra(Graf, asal): Q adalah himpunan titik for each v in Graf: jarak[v] ← Infinity sebelum[v] ← Undefined tambahkan v ke dalam Q jarak[asal] ← 0; while Q tidak kosong: u ← titik dalam Q dengan nilai jarak[u] terkecil hapus u dari Q for each tetangga v dari u: // hanya v yang masih dalam Q alt ← jarak[u] + jarak_antara(u, v) if alt < jarak[v]: jarak[v] ← alt sebelum[v] ← u return jarak[], sebelum[] Algoritma Dijkstra submber: wikipedia
  • 8. Contoh Soal Terdapat Graph Model seperti disamping ini. Berapakah jarak terpendek dari titik A menuju ke titik G? Dari sini Ke sini
  • 9. Contoh Soal V A B C D E F G A 0A 5A 4A ∞ ∞ ∞ ∞ C 5A 4A 12C 15C ∞ ∞ B 5A 12C 15C 11B ∞ F 12C 15C 11B 27F D 12C 15D 27F E 15D 21E G 21E Jadi hasil rute terpendek dari titik A ke titik G adalah A - C - D - E - G
  • 10. Contoh Implementasi Algoritma Dijkstra melakukan kalkulasi bobot terkecil dari satu node ke node yang lain. Dijkstra menghitung lintasan berdasarkan jarak terpendek yang ditempuh tiap-tiap kota. Lalu jarak terpendek yang didapat tersebut akan dikalkulasikan untuk menghitung estimasi penggunaan bahan bakar dari mobil dinas yang dipakai. https://unisbank.ac.id/ojs/index.php/sendi_u/article/view/5988
  • 11. Contoh Implementasi Algoritma Dijkstra melakukan kalkulasi rute tercepat yang dapat ditempuh dari titik awal (pengguna) ke titik kumpul evakuasi (green area) terdekat yang tersedia. Pada implementasinya persimpangan jalan raya yang menjadi titik nodenya. https://publikasiilmiah.ums.ac.id/xmlui/handle/11617/4392