Scene 2 / 10 13:00 WITA — Kamis, 23 April 2026 · Lot L-042 sudah tutup jam 10:48 dengan total 502,4 ton. Ibu Linda Wijaya (Lab Manager) input hasil analisis fisik. Foxel menggantikan angka prelim dengan hasil real lab, auto-klasifikasi lot, dan draft Certificate of Analysis. 13:00 WITA — Thursday, 23 April 2026 · Lot L-042 closed at 10:48 with a total of 502.4 t. Mrs. Linda Wijaya (Lab Manager) enters physical analysis results. Foxel replaces the prelim numbers with real lab values, auto-classifies the lot, and drafts the Certificate of Analysis.
Lab Kualitas — Analisis Sample Lot Quality Lab — Lot Sample Analysis
Bomb calorimeter IKA C200 · oven Memmert · mill Retsch · 4 analis shift hari Bomb calorimeter IKA C200 · Memmert oven · Retsch mill · 4 analysts on day shift
Ibu Linda Wijaya
Lab Manager · sertifikat ALS-competent Lab Manager · ALS-competent certified
LW

Antrian LabLab Queue

L-042 AKTIFACTIVE
PN-B3-02 · 502,4 t · diterima 10:50 PN-B3-02 · 502.4 t · received 10:50
L-041 TUNGGUPENDING
PN-B2-05 · 498,7 t · TM in-progress PN-B2-05 · 498.7 t · TM in-progress
L-040 TUNGGUPENDING
PS-B1-03 · 501,2 t · milling PS-B1-03 · 501.2 t · milling
L-039 SELESAIDONE
PN-B3-01 · CV 5.060 GAR PN-B3-01 · CV 5,060 GAR
L-038 SELESAIDONE
PN-B3-01 · CV 5.120 GAR PN-B3-01 · CV 5,120 GAR
SLA lab internal: 4 jam dari sample masuk → COA published Internal lab SLA: 4 hours from sample-in to COA published

Analisis Sample — Sample Analysis — Lot L-042

Increment sampling 60 kg (ISO 18283) · composite 4 kg · sub-sample 1 kg untuk tiap test Increment sampling 60 kg (ISO 18283) · composite 4 kg · 1 kg sub-sample per test
DRAFTDRAFT
Nomor sampleSample no KTS-LAB-2026-0342
Tanggal terimaReceived 23/4/2026 10:50
AnalisAnalyst Sdr. Rudi (A1)
Review byReviewed by Ibu Linda

Calorific Value (bomb) Calorific Value (bomb)

ISO 1928
Gross CV (adb) 5.625 kcal/kg
Net CV (adb) 5.420 kcal/kg
CV (ar) 5.230 kcal/kg
CV (GAR) 5.230 kcal/kg
CVar = CVadb × (100 - TMar) / (100 - TMadb)

Total Moisture (oven) Total Moisture (oven)

ISO 589
Free moisture (FM) 9,8 %
Residual moisture (ResM) 6,4 %
Total Moisture (ar) 15,6 %
Inherent moisture (adb) 6,4 %
TMar = FM + ResM × (100 - FM) / 100

Ash & Volatile (furnace) Ash & Volatile (furnace)

ISO 1171 / 562
Ash (adb) 5,6 %
Ash (ar) 4,9 %
Volatile Matter (adb) 41,2 %
Fixed Carbon (adb) 46,8 %
FC = 100 - (Ash + VM + IM)adb

Sulphur & HGI Sulphur & HGI

ISO 334 / 5074
Total Sulphur (adb) 0,41 %
Total Sulphur (ar) 0,36 %
HGI (hardgrove) 48
Ukuran -50 mm Size -50 mm 94 %
Ref: ASTM D3302/ISO 11722 konversi moisture basis Ref: ASTM D3302/ISO 11722 moisture basis conversion

Klasifikasi Lot Otomatis Auto Lot Classification

HIGH-CV PREMIUM
Lot L-042 memenuhi spesifikasi untuk Product-A (Premium). Foxel merekomendasikan tujuan pile ROM-South, prioritas alokasi untuk blend TNB Genco (pickup 29/4). Lot L-042 meets Product-A (Premium) specs. Foxel recommends ROM-South as destination and prioritises allocation to the TNB Genco blend (pickup 29/4).
CV (GAR) 5.230 ✓ melebihi min 4.800 ✓ above 4,800 min
TM (ar) 15,6 % ✓ < max 18% ✓ < 18% max
Ash (adb) 5,6 % ✓ < max 6,5% ✓ < 6.5% max
S (ar) 0,36 % ✓ < max 0,5% ✓ < 0.5% max

Preview COA (internal) COA Preview (internal)

PDF · A4
CERTIFICATE OF ANALYSIS
COA NoCOA-L042-2026-0423
Lot IDL-042
Source BlockPN-B3-02
Tonnage502.4 t
Sampled23/4/2026 10:50
Analysed23/4/2026 12:45
Parameteradbar
CV (kcal/kg)5,4205,230
TM / IM (%)6.415.6
Ash (%)5.64.9
VM (%)41.2-
FC (%)46.8-
S total (%)0.410.36
HGI48
Analyst: Rudi Hermawan
Reviewed: Ir. Linda Wijaya, S.T
BSrE-READY
COA ini akan terbit saat Ibu Linda klik "Finalisasi". Link otomatis ke Lot L-042 untuk traceability downstream. This COA publishes once Mrs. Linda clicks "Finalize". It is automatically linked to Lot L-042 for downstream traceability.
Perbandingan dengan Prelim Prelim vs Actual
CV: prelim 5.180 → aktual 5.230 (+50 deviasi 1,0%)
TM: prelim 15,8 → aktual 15,6 (-0,2)
Ash: prelim 5,4 → aktual 5,6 (+0,2)
S: prelim 0,38 → aktual 0,41 (+0,03)
Model grade control akurat ~98,9% — Foxel gunakan data ini untuk tune ulang prediksi blok berikutnya di Pit North Bench 3. Grade-control model accuracy ~98.9% — Foxel uses this data to re-tune predictions for next blocks in Pit North Bench 3.
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