Pm4py: contoh minimal dari xes - Revision history

Onnowpurbo at 04:58, 30 March 2025

2025-03-30T04:58:27Z

Onnowpurbo at 04:38, 29 March 2025

2025-03-29T04:38:12Z

Onnowpurbo: /* Langkah 2: Baca File XES dan Konversi ke Event Log */

2025-03-29T04:30:21Z

Langkah 2: Baca File XES dan Konversi ke Event Log

Onnowpurbo: /* Langkah 2: Baca File XES dan Konversi ke Event Log */

2025-03-29T04:16:21Z

Langkah 2: Baca File XES dan Konversi ke Event Log

Onnowpurbo: Created page with "Berikut contoh '''PM4Py source code sederhana''' untuk analisis file '''.xes''' di Google Colab. Kita akan: * Upload file `.xes` * Baca log-nya * Tampilkan proses visuali..."

2025-03-29T00:36:21Z

Created page with "Berikut contoh '''PM4Py source code sederhana''' untuk analisis file '''.xes''' di Google Colab. Kita akan: * Upload file `.xes` * Baca log-nya * Tampilkan proses visuali..."

New page

Berikut contoh '''PM4Py source code sederhana''' untuk analisis file '''.xes''' di Google Colab. Kita akan:

* Upload file `.xes`
* Baca log-nya
* Tampilkan proses visualisasi (*Directly-Follows Graph*)

=='''Langkah 1: Buka Google Colab dan Copy-Paste Ini'''==

# Install PM4Py
!pip install -q pm4py

# Upload file XES
from google.colab import files
uploaded = files.upload()
xes_filename = list(uploaded.keys())[0]

=='''Langkah 2: Baca File XES dan Konversi ke Event Log'''==

from pm4py.objects.log.importer.xes import importer as xes_importer

# Import XES log
log = xes_importer.apply(xes_filename)

# Cek jumlah kasus dan aktivitas
print(f"Jumlah kasus: {len(log)}")
activities = set()
for trace in log:
for event in trace:
activities.add(event['concept:name'])
print(f"Jumlah aktivitas unik: {len(activities)}")

=='''Langkah 3: Visualisasi Proses (DFG)'''==

from pm4py.algo.discovery.dfg import algorithm as dfg_discovery
from pm4py.visualization.dfg import visualizer as dfg_visualization

# DFG berdasarkan frekuensi
dfg = dfg_discovery.apply(log, variant=dfg_discovery.Variants.FREQUENCY)

# Tampilkan visualisasi
dfg_vis = dfg_visualization.apply(dfg, log=log, variant=dfg_visualization.Variants.FREQUENCY)
dfg_visualization.view(dfg_vis)

==Contoh Dataset `.xes`==
Kamu bisa pakai contoh `running-example.xes` dari PM4Py:
Download: [running-example.xes](https://github.com/pm4py/pm4py-core/blob/master/tests/input_data/running-example.xes)

==Pranala Menarik==

* [[Process Mining]]

@@ Line 8: / Line 8: @@
   # Install PM4Py & graphviz
-  !pip install -q pm4py
+  !pip install -q pm4py graphviz pandas
   # Upload file XES

@@ Line 18: / Line 18: @@
   from pm4py.objects.log.importer.xes import importer as xes_importer
-  from pm4py.objects.log.importer.xes import importer as xes_importer
+  # from pm4py.objects.log.importer.xes import importer as xes_importer
-  from pm4py.algo.discovery.inductive import algorithm as inductive_miner
+  # from pm4py.algo.discovery.inductive import algorithm as inductive_miner
-  from pm4py.algo.conformance.tokenreplay import algorithm as tr
+  # from pm4py.algo.conformance.tokenreplay import algorithm as tr
-  from pm4py.objects.conversion.process_tree import converter as process_tree_converter
+  # from pm4py.objects.conversion.process_tree import converter as process_tree_converter
-  import os
+  # import os

@@ Line 18: / Line 18: @@
   from pm4py.objects.log.importer.xes import importer as xes_importer
+  from pm4py.objects.log.importer.xes import importer as xes_importer
   # Import XES log
   log = xes_importer.apply(xes_filename)
@@ Line 29: / Line 35: @@
           activities.add(event['concept:name'])
   print(f"Jumlah aktivitas unik: {len(activities)}")
 =='''Langkah 3: Visualisasi Proses (DFG)'''==