contoh desain slide presentasi ilmiah kreatif dan menarik #2
Post on 07-Jan-2017
37.904 Views
Preview:
TRANSCRIPT
SYSTEM MODELLING
Alicia Ti -‐ 1306404443
Anggit Prakoso -‐ 1306393156
Christy Atikarani -‐ 1406642763
Laura Karina -‐ 1306370096
Nadhila Taufiqa -‐ 1306393901
Vincencia Sydneyta– 1306446742
Dosen Pembimbing : Arry Rahmawan, ST, MT
P
OUTLINE
02
03
04
05
01 Problem Formulation
Model Conceptualization
Data Gathering and Analysis
Model Construction
Validation and Verification
Conclusion and Suggestions06
Problem Formulation
“Kurang optimalnya utilisasi lahan parkir dan server yang ada di Parkiran Motor
A Senayan City Mall mengakibatkan waktu antrean dan pencarian tempat parkir masing-masing melebihi 2 menit pada
saat peak time. Hal ini akan menyebabkan ketidaknyamanan bagi pengunjung
yang datang”
1. Problem Formulation 2. Model Conceptualization 3. Data Gathering 4. Model 5. Validation 6. Conclusion
Model Conceptualization
1. Problem Formulation 2. Model Conceptualization 3. Data Gathering 4. Model 5. Validation 6. Conclusion
Data Gathering
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
DATA PRIMER DATA SEKUNDER
Observation
Wawancara• Demi mendapatkan hasil
data yang akurat, tim kamimelakukan wawancaradengan pihak manajer danpetugas penjaga loket
Studi Pustaka• Tim kami juga membaca
literatur dan referensi -referensi terkait denganpenelitian ini
Senayan City MallParkiran Motor A
Sabtu, 3 Oktober 2015Pk. 10.00-20.00 WIB
Server tunggal & antrean tunggal dengan kapasitas 245 motor
Data Analysis
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
Peak Hour :Pk 14.00-20.00WIB
Data Analysis
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
DATA AVERAGE INTER-ARRIVAL TIME
Time Interval Average Inter-Arrival Time (s)
10:00 -11:00 133
11:00 - 12:00 62
12:00 - 13:00 47
13:00 - 14:00 42
14:00 - 15:00 32
15:00 - 16:00 22
16:00 - 17:00 24
17:00 - 18:00 15
18:00 - 19:00 19
19:00 - 20:00 27
Standar Deviation 33
Average Inter-Arrival Peak Time 23
Arrival Rate (λ) 166
Service Rate (μ) 300
Number of Server 1
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Model Construction
Location
Layout
Entities
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Dari 100%, hanya 4,69% yang mengantri di loket masuk
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results Panjang antrean maksimal di loket masuk adalah 11
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Kapasitas area parkir masih belum 100% full
Berarti kapasitas lahan pakir yang ada saat ini masih memadai
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Waktu tunggu masih kurang dari 2 menit
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation1. Watching the Animation
Watch the video!(attached)
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation2. Degeneracy & Extreme Condition Test
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation2. Degeneracy & Extreme Condition Result
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation2. Degeneracy & Extreme Condition Result
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation3. Sensitivity Analysis Test
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation3. Sensitivity Analysis Result
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation4. Running Traces
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation5. Comparison with spreadsheet
DATA AVERAGE INTER-ARRIVAL TIME
Time Interval Average Inter-Arrival Time (s)
10:00 -11:00 133
11:00 - 12:00 62
12:00 - 13:00 47
13:00 - 14:00 42
14:00 - 15:00 32
15:00 - 16:00 22
16:00 - 17:00 24
17:00 - 18:00 15
18:00 - 19:00 19
19:00 - 20:00 27
Standar Deviation 33
Average Inter-Arrival Peak Time 23
DATA ARRIVAL TIME, INTER-‐ARRIVAL TIME, AND SERVICE TIME
Hour Minutes Second29 1322 13Average Peak Time
No.Arrival Time
Inter-‐Arrival (s)
Average
Service Time (s)
Promodel SpreadsheetAverage Server Utilization (ρ) 0.58 0.55
Average Number of Customers in the Queue (Lq) 0.58 0.69
Average Waiting Time in the Queue (Wq) 0.23 0.25Probability (% of Time) System is Empty (Po) 0.42 0.45
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Verification
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
VerificationWell verified!
1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Conclusion & Suggestion
• Waktu antrean dan pencarian parkir di parkiran motor A Senayan City Mall tidak lebih dari 2 menit. Kapasitas tempat parkir pun masih memadai di saat peak time.
• Namun, jalan untuk mengantri di loket masuk dapat diperluas sehingga tidak menyusahkan pengunjung yang harus keluar karena tidak membawa STNK.
Thank youAlicia Ti -‐ 1306404443
Anggit Prakoso -‐ 1306393156
Christy Atikarani -‐ 1406642763
Laura Karina -‐ 1306370096
Nadhila Taufiqa -‐ 1306393901
Vincencia Sydneyta -‐ 1306446742
top related