Onnowpurbo: /* 11. Cara pakai harian */

2026-06-28T09:38:47Z

11. Cara pakai harian

Onnowpurbo: /* Discover Directly-Follows Graph */

2026-06-28T09:36:02Z

Discover Directly-Follows Graph

Onnowpurbo: /* 8. Test instalasi PM4Py */

2026-06-28T09:35:23Z

8. Test instalasi PM4Py

Onnowpurbo: /* 6. Daftarkan kernel Jupyter */

2026-06-28T09:34:49Z

6. Daftarkan kernel Jupyter

Onnowpurbo: /* 4. Upgrade pip dan tools dasar */

2026-06-28T09:33:18Z

4. Upgrade pip dan tools dasar

Onnowpurbo: Created page with "Berikut langkah lengkap membuat '''virtualenv PM4Py di `~/Apps/PM4Py`''' untuk process mining. PM4Py resmi bisa di-install dengan `pip install -U pm4py`, dan saat ini menduk..."

2026-06-28T09:32:04Z

Created page with "Berikut langkah lengkap membuat '''virtualenv PM4Py di `~/Apps/PM4Py`''' untuk *process mining*. PM4Py resmi bisa di-install dengan `pip install -U pm4py`, dan saat ini menduk..."

New page

Berikut langkah lengkap membuat '''virtualenv PM4Py di `~/Apps/PM4Py`''' untuk *process mining*. PM4Py resmi bisa di-install dengan `pip install -U pm4py`, dan saat ini mendukung Python 3.9–3.14. ([PyPI][1])

== 1. Install dependency sistem==

sudo apt update
sudo apt install -y python3 python3-venv python3-pip graphviz

Keterangan singkat:

python3-venv

dibutuhkan untuk membuat virtual environment.

graphviz

dibutuhkan agar visualisasi proses seperti Petri net, BPMN, dan *process tree* bisa digambar dengan baik.

== 2. Buat folder kerja==

mkdir -p ~/Apps/PM4Py
cd ~/Apps/PM4Py

== 3. Buat virtualenv==

python3 -m venv venv

Aktifkan:

source venv/bin/activate

Kalau berhasil, prompt terminal biasanya berubah menjadi seperti:

(venv) onno@i3:~/Apps/PM4Py$

== 4. Upgrade pip dan tools dasar==

python -m pip install --upgrade pip setuptools wheel

== 5. Install PM4Py + library pendukung

pip install -U \
pm4py \
pandas \
numpy \
matplotlib \
seaborn \
scikit-learn \
scipy \
networkx \
graphviz \
pyvis \
jupyterlab \
notebook \
ipykernel \
openpyxl \
xlsxwriter

Library utama:

| Library | Fungsi |
| | |
| `pm4py` | library utama *process mining* |
| `pandas`, `numpy` | olah data event log |
| `matplotlib`, `seaborn` | visualisasi data |
| `scikit-learn` | clustering, klasifikasi, anomaly detection |
| `networkx`, `graphviz` | graph/process visualization |
| `jupyterlab`, `notebook` | kerja lewat Jupyter |
| `openpyxl`, `xlsxwriter` | baca/tulis Excel |

== 6. Daftarkan kernel Jupyter==

python -m ipykernel install --user --name pm4py --display-name "Python PM4Py"

Nanti di Jupyter pilih kernel:

Python PM4Py

== 7. Buat file requirements.txt

cat > requirements.txt << 'EOF'
pm4py
pandas
numpy
matplotlib
seaborn
scikit-learn
scipy
networkx
graphviz
pyvis
jupyterlab
notebook
ipykernel
openpyxl
xlsxwriter
EOF

Nanti kalau mau install ulang cukup:

pip install -r requirements.txt

== 8. Test instalasi PM4Py==

Buat file test:

nano test_pm4py.py

Isi:

python
import pm4py
import pandas as pd

print("PM4Py version:", pm4py.__version__)

data = [
{"case:concept:name": "1", "concept:name": "Register", "time:timestamp": "2026-01-01 08:00:00"},
{"case:concept:name": "1", "concept:name": "Check", "time:timestamp": "2026-01-01 09:00:00"},
{"case:concept:name": "1", "concept:name": "Approve", "time:timestamp": "2026-01-01 10:00:00"},

{"case:concept:name": "2", "concept:name": "Register", "time:timestamp": "2026-01-02 08:00:00"},
{"case:concept:name": "2", "concept:name": "Check", "time:timestamp": "2026-01-02 09:00:00"},
{"case:concept:name": "2", "concept:name": "Reject", "time:timestamp": "2026-01-02 10:00:00"},
]

df = pd.DataFrame(data)
df["time:timestamp"] = pd.to_datetime(df["time:timestamp"])

print(df)

= Discover Directly-Follows Graph=

dfg, start_activities, end_activities = pm4py.discover_dfg(df)

print("\nDirectly-Follows Graph:")
print(dfg)

print("\nStart activities:")
print(start_activities)

print("\nEnd activities:")
print(end_activities)

Jalankan:

python test_pm4py.py

Kalau sukses, akan keluar versi PM4Py dan hasil *Directly-Follows Graph*.

== 9. Test lewat Jupyter Notebook==

Jalankan:

jupyter lab

Lalu buat notebook baru dengan kernel:

Python PM4Py

Cell test:

import pm4py
import pandas as pd

pm4py.__version__

Cell berikutnya:

data = [
{"case:concept:name": "1", "concept:name": "A", "time:timestamp": "2026-01-01 08:00:00"},
{"case:concept:name": "1", "concept:name": "B", "time:timestamp": "2026-01-01 09:00:00"},
{"case:concept:name": "1", "concept:name": "C", "time:timestamp": "2026-01-01 10:00:00"},
{"case:concept:name": "2", "concept:name": "A", "time:timestamp": "2026-01-02 08:00:00"},
{"case:concept:name": "2", "concept:name": "B", "time:timestamp": "2026-01-02 09:00:00"},
{"case:concept:name": "2", "concept:name": "D", "time:timestamp": "2026-01-02 10:00:00"},
]

df = pd.DataFrame(data)
df["time:timestamp"] = pd.to_datetime(df["time:timestamp"])

df

Cell process mining:

dfg, start_activities, end_activities = pm4py.discover_dfg(df)

dfg

== 10. Struktur folder yang disarankan==

mkdir -p ~/Apps/PM4Py/{data,notebooks,scripts,output}

Struktur:

~/Apps/PM4Py/
├── venv/
├── data/
├── notebooks/
├── scripts/
├── output/
├── requirements.txt
└── test_pm4py.py

== 11. Cara pakai harian==

Setiap mau kerja:

cd ~/Apps/PM4Py
source venv/bin/activate
jupyter lab

Keluar dari virtualenv:

deactivate

== 12. Kalau ada error Graphviz

Cek:

dot -V

Kalau belum ada:

sudo apt install -y graphviz

Lalu install ulang Python package-nya:

pip install -U graphviz

== 13. Versi ringkas semua command==

sudo apt update
sudo apt install -y python3 python3-venv python3-pip graphviz

mkdir -p ~/Apps/PM4Py
cd ~/Apps/PM4Py

python3 -m venv venv
source venv/bin/activate

python -m pip install --upgrade pip setuptools wheel

pip install -U \
pm4py \
pandas \
numpy \
matplotlib \
seaborn \
scikit-learn \
scipy \
networkx \
graphviz \
pyvis \
jupyterlab \
notebook \
ipykernel \
openpyxl \
xlsxwriter

python -m ipykernel install --user --name pm4py --display-name "Python PM4Py"

mkdir -p data notebooks scripts output

python -c "import pm4py; print(pm4py.__version__)"
jupyter lab

[1]: https://pypi.org/project/pm4py/?utm_source=chatgpt.com "pm4py"

@@ Line 216: / Line 216: @@
   deactivate
-== 12. Kalau ada error Graphviz
+== 12. Kalau ada error Graphviz==
 Cek:

@@ Line 129: / Line 129: @@
   print(df)
-= Discover Directly-Follows Graph=
+ # Discover Directly-Follows Graph
   dfg, start_activities, end_activities = pm4py.discover_dfg(df)

@@ Line 109: / Line 109: @@
 Isi:
   import pm4py
   import pandas as pd

@@ Line 77: / Line 77: @@
   Python PM4Py
-== 7. Buat file requirements.txt
+== 7. Buat file requirements.txt==
   cat > requirements.txt << 'EOF'

@@ Line 38: / Line 38: @@
   python -m pip install --upgrade pip setuptools wheel
-== 5. Install PM4Py + library pendukung
+== 5. Install PM4Py + library pendukung==
   pip install -U \