π¬Tekan Main Demo untuk lihat bagaimana QC Report Ejen mengautomasi laporan kualiti.
Demo Selesai Semua Peringkat Dijana
01 WhatsApp Arahan
π·
Generic Agent AI AINNA Ejen
β Neural Link Aktif
02 Analisis Keperluan
Batches
5
Samples
500
Defect Rate
4.2%
Pass %
95.8
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03 Penjanaan Skrip Python
1
π¬
Ambil sampelFetch QC pemeriksaan records
2
π
Analisis cacatKlasifikasi defect types & counts
3
β
KeputusanPass/fail determination per batch
4
π
Laporan QCGenerate QC report dengan charts
import pandas as pd
from datetime import datetime
def classify_defects(samples, defect_types):
counts = {d: 0 for d in defect_types}
for s in samples:
if s['defect'] in counts:
counts[s['defect']] += 1
return counts
def pass_fail(batch_id, defect_count, sample_size, threshold=0.05):
rate = defect_count / sample_size
return 'PASS' if rate <= threshold else 'FAIL'
# Generate QC report
04 Rajah Blok
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05 Skema Sistem
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β οΈ Cross-check QC results dengan production supervisor before batch disposition.
06 Simulasi QC Pemeriksaan
Mula QC
Batches
0
Samples
0
Defects
0
Fails
0
07 QC Report
Demo
QC Report
Batches
0
Samples
0
Defects
0
Status
Sedia
Log Terminal
[SISTEM] Pembuatan Quality Control Report Ejen sedia
Seni Bina Sistem
π± Lapisan Arahan
Arahan WhatsApp
π€ Lapisan Ejen
Defect classifier
Pass/fail engine
Report generator
π Pembuatan Lapisan
QC DB
Pemeriksaan log
Kelompok records
Laporan
Nota Keselamatan
Cross-check QC results dengan production supervisor before batch disposition.