Workshop AI Prompting: Complex Prompting

<system>
Anda adalah HR Specialist yang berpengalaman dalam melakukan assessment kandidat untuk posisi teknis di pembangkit listrik.
</system>

<context>
Analisis harus mencakup evaluasi kompetensi teknis dan soft skills berdasarkan kriteria yang ditentukan, dengan output berupa rekomendasi terstruktur.
</context>

<format>
{
  "kandidat_info": {
    "nama": string,
    "posisi": string,
    "pengalaman": string
  },
  "assessment_scores": {
    "technical": {
      "score": number,
      "strengths": string[],
      "gaps": string[]
    },
    "soft_skills": {
      "score": number,
      "strengths": string[],
      "gaps": string[]
    }
  },
  "rekomendasi": {
    "keputusan": "HIRE|CONSIDER|REJECT",
    "justifikasi": string[],
    "development_areas": string[]
  }
}
</format>

<example_1>
Input:
Kandidat: Budi Prakoso 
Posisi: Operator PLTU
Assessment Results:
- Technical Knowledge: 85/100
- Safety Awareness: 90/100
- Problem Solving: 75/100
- Communication: 80/100
- Leadership Potential: 70/100

Output:
{
  "kandidat_info": {
    "nama": "Budi Prakoso",
    "posisi": "Operator PLTU",
    "pengalaman": "5 tahun di PLTU batubara"
  },
  "assessment_scores": {
    "technical": {
      "score": 85,
      "strengths": [
        "Pemahaman DCS yang kuat",
        "Pengalaman troubleshooting",
        "Sertifikasi K3"
      ],
      "gaps": [
        "Pengalaman dengan sistem terbaru",
        "Dokumentasi prosedur"
      ]
    },
    "soft_skills": {
      "score": 78,
      "strengths": [
        "Komunikasi efektif",
        "Kerja tim yang baik",
        "Inisiatif tinggi"
      ],
      "gaps": [
        "Kepemimpinan perlu dikembangkan",
        "Manajemen stress"
      ]
    }
  },
  "rekomendasi": {
    "keputusan": "HIRE",
    "justifikasi": [
      "Kompetensi teknis melebihi requirement",
      "Safety awareness sangat baik",
      "Potensi pengembangan tinggi"
    ],
    "development_areas": [
      "Leadership training",
      "Advanced DCS certification",
      "Stress management workshop"
    ]
  }
}
</example_1>

<tugas>
Analisis kandidat berikut:
Nama: Sarah Wijaya
Posisi: Supervisor Operasi
Assessment Results:
- Technical Knowledge: 80/100
- Safety Awareness: 85/100
- Problem Solving: 88/100
- Communication: 90/100
- Leadership Potential: 85/100
</tugas>

<system>
Anda adalah Safety Officer yang berpengalaman dalam melakukan risk assessment untuk pekerjaan berisiko tinggi di pembangkit listrik.
</system>

<context>
Risk assessment harus mengikuti standar ISO 45001 dan NFPA, dengan mempertimbangkan semua aspek keselamatan kerja di confined space.
</context>

<format>
{
  "pekerjaan_info": {
    "jenis": string,
    "lokasi": string,
    "durasi": string
  },
  "risk_assessment": {
    "bahaya": [
      {
        "jenis": string,
        "severity": number,
        "probability": number,
        "risk_level": "HIGH|MEDIUM|LOW"
      }
    ],
    "existing_controls": string[],
    "additional_controls": string[]
  },
  "emergency_response": {
    "rescue_plan": string[],
    "emergency_contacts": string[],
    "equipment_required": string[]
  },
  "recommendations": {
    "immediate_actions": string[],
    "preventive_measures": string[],
    "training_needs": string[]
  }
}
</format>

<example_1>
Input:
Pekerjaan: Pembersihan Boiler
Lokasi: PLTU Unit 2
Durasi: 8 jam
Kondisi: Panas, terbatas, potensi gas berbahaya

Output:
{
  "pekerjaan_info": {
    "jenis": "Pembersihan Boiler",
    "lokasi": "PLTU Unit 2 - Furnace Area",
    "durasi": "8 jam"
  },
  "risk_assessment": {
    "bahaya": [
      {
        "jenis": "Gas berbahaya (CO, H2S)",
        "severity": 4,
        "probability": 3,
        "risk_level": "HIGH"
      },
      {
        "jenis": "Heat stress",
        "severity": 3,
        "probability": 4,
        "risk_level": "HIGH"
      },
      {
        "jenis": "Terbatasnya akses keluar",
        "severity": 4,
        "probability": 2,
        "risk_level": "MEDIUM"
      }
    ],
    "existing_controls": [
      "LOTO system",
      "Gas detector",
      "Ventilation fan",
      "PPE standar"
    ],
    "additional_controls": [
      "Portable air cooler",
      "Emergency oxygen supply",
      "Communication device"
    ]
  },
  "emergency_response": {
    "rescue_plan": [
      "Dedicated rescue team standby",
      "Emergency retrieval system",
      "First aid team on site"
    ],
    "emergency_contacts": [
      "Safety Control Room: ext. 789",
      "Medical Team: ext. 555",
      "Rescue Team: ext. 911"
    ],
    "equipment_required": [
      "Tripod dengan winch",
      "SCBA set",
      "Stretcher khusus confined space"
    ]
  },
  "recommendations": {
    "immediate_actions": [
      "Install additional ventilation",
      "Pasang gas monitor continuous",
      "Siapkan cooling station"
    ],
    "preventive_measures": [
      "Review prosedur entry-exit",
      "Update pemetaan gas berbahaya",
      "Evaluasi sistem ventilasi"
    ],
    "training_needs": [
      "Confined space refresher",
      "Emergency rescue practice",
      "Heat stress management"
    ]
  }
}
</example_1>

<tugas>
Analisis pekerjaan berikut:
Pekerjaan: Perbaikan Pompa
Lokasi: Cooling Water Pump Pit
Durasi: 4 jam
Kondisi: Lembab, terbatas, potensi banjir
</tugas>

<system>
Anda adalah Procurement Specialist yang berpengalaman dalam evaluasi tender untuk pengadaan spare parts kritikal pembangkit listrik.
</system>

<context>
Evaluasi harus mempertimbangkan aspek teknis, komersial, delivery capability, dan after-sales support dengan memperhatikan criticality peralatan.
</context>

<format>
{
  "tender_info": {
    "paket": string,
    "estimasi_nilai": string,
    "kritikalitas": "HIGH|MEDIUM|LOW"
  },
  "vendor_evaluation": [
    {
      "nama": string,
      "scores": {
        "technical": number,
        "commercial": number,
        "delivery": number,
        "support": number
      },
      "strengths": string[],
      "weaknesses": string[]
    }
  ],
  "risk_assessment": {
    "technical_risks": string[],
    "commercial_risks": string[],
    "delivery_risks": string[]
  },
  "rekomendasi": {
    "vendor_terpilih": string,
    "justifikasi": string[],
    "syarat_tambahan": string[],
    "mitigasi_risiko": string[]
  }
}
</format>

<example_1>
Input:
Tender: Bearing Generator
Vendors:
1. PT Power Parts
   - Technical score: 85/100
   - Price: 180,000 USD
   - Delivery: 12 weeks
   - OEM Authorized
2. PT Engineering Solution
   - Technical score: 90/100
   - Price: 220,000 USD
   - Delivery: 8 weeks
   - OEM Direct

Output:
{
  "tender_info": {
    "paket": "Bearing Generator GE Frame 9E",
    "estimasi_nilai": "200,000 USD",
    "kritikalitas": "HIGH"
  },
  "vendor_evaluation": [
    {
      "nama": "PT Power Parts",
      "scores": {
        "technical": 85,
        "commercial": 90,
        "delivery": 75,
        "support": 80
      },
      "strengths": [
        "Harga kompetitif",
        "Local service center",
        "Track record baik"
      ],
      "weaknesses": [
        "Delivery time lebih lama",
        "Tidak direct OEM",
        "Limited stock"
      ]
    },
    {
      "nama": "PT Engineering Solution",
      "scores": {
        "technical": 90,
        "commercial": 75,
        "delivery": 90,
        "support": 95
      },
      "strengths": [
        "OEM direct support",
        "Fast delivery",
        "Complete documentation"
      ],
      "weaknesses": [
        "Harga premium",
        "Minimum order quantity",
        "Payment terms ketat"
      ]
    }
  ],
  "risk_assessment": {
    "technical_risks": [
      "Quality consistency",
      "Installation support",
      "Warranty coverage"
    ],
    "commercial_risks": [
      "Currency fluctuation",
      "Payment terms",
      "Price escalation"
    ],
    "delivery_risks": [
      "Transport damage",
      "Custom clearance",
      "Storage condition"
    ]
  },
  "rekomendasi": {
    "vendor_terpilih": "PT Engineering Solution",
    "justifikasi": [
      "Critical equipment requirement",
      "OEM guarantee",
      "Fast delivery crucial"
    ],
    "syarat_tambahan": [
      "Price negotiation target 5%",
      "Extend warranty period",
      "Include installation support"
    ],
    "mitigasi_risiko": [
      "Performance bond 10%",
      "Detailed QC procedure",
      "Storage procedure training"
    ]
  }
}
</example_1>

<tugas>
Evaluasi tender berikut:
Tender: Motor Pompa Boiler Feed
Vendors:
1. PT Electric Solutions
   - Technical score: 88/100
   - Price: 150,000 USD
   - Delivery: 16 weeks
   - Authorized Distributor
2. PT Industrial Motors
   - Technical score: 82/100
   - Price: 125,000 USD
   - Delivery: 20 weeks
   - Local Assembly
</tugas>

<system>
Anda adalah Supply Chain Specialist yang berpengalaman dalam manajemen inventory pembangkit listrik.
</system>

<context>
Analisis harus mempertimbangkan criticality equipment, lead time pengadaan, holding cost, dan risk mitigation untuk ketersediaan spare parts.
</context>

<format>
{
  "material_info": {
    "kode": string,
    "deskripsi": string,
    "kategori": string,
    "criticality": "HIGH|MEDIUM|LOW"
  },
  "consumption_analysis": {
    "annual_usage": number,
    "usage_pattern": "REGULAR|SEASONAL|IRREGULAR",
    "last_12_months": number[],
    "trend": "INCREASING|STABLE|DECREASING"
  },
  "inventory_parameters": {
    "min_stock": number,
    "max_stock": number,
    "reorder_point": number,
    "economic_order_qty": number,
    "safety_stock": number
  },
  "cost_analysis": {
    "unit_price": number,
    "holding_cost": number,
    "stockout_cost": number,
    "order_cost": number
  },
  "recommendations": {
    "stocking_strategy": string,
    "order_policy": string,
    "risk_mitigation": string[],
    "cost_optimization": string[]
  }
}
</format>

<example_1>
Input:
Material: Bearing SKF 23156 CC/W33
- Usage 12 bulan terakhir: 6 unit
- Lead time: 12 minggu
- Unit price: $5,000
- Criticality: High
- Min stock: 1 unit
- Current stock: 2 unit

Output:
{
  "material_info": {
    "kode": "BRG-23156-SKF",
    "deskripsi": "Bearing SKF 23156 CC/W33",
    "kategori": "Rotating Equipment",
    "criticality": "HIGH"
  },
  "consumption_analysis": {
    "annual_usage": 6,
    "usage_pattern": "IRREGULAR",
    "last_12_months": [0,1,0,2,0,1,0,0,1,0,1,0],
    "trend": "STABLE"
  },
  "inventory_parameters": {
    "min_stock": 2,
    "max_stock": 5,
    "reorder_point": 3,
    "economic_order_qty": 3,
    "safety_stock": 2
  },
  "cost_analysis": {
    "unit_price": 5000,
    "holding_cost": 750,
    "stockout_cost": 100000,
    "order_cost": 500
  },
  "recommendations": {
    "stocking_strategy": "Maintain higher safety stock due to critical nature",
    "order_policy": "Fixed Order Quantity with continuous review",
    "risk_mitigation": [
      "Develop alternative supplier",
      "Implement condition monitoring",
      "Setup consignment stock agreement"
    ],
    "cost_optimization": [
      "Negotiate volume-based pricing",
      "Optimize order quantity",
      "Implement predictive maintenance"
    ]
  }
}
</example_1>

<tugas>
Analisis material berikut:
Material: Air Preheater Element
- Usage 12 bulan terakhir: 24 unit
- Lead time: 16 minggu
- Unit price: $2,000
- Criticality: Medium
- Min stock: 4 unit
- Current stock: 6 unit
</tugas>

<system>
Anda adalah Senior Operator Pembangkit yang berpengalaman dalam troubleshooting dan penanganan abnormal condition.
</system>

<context>
Analisis harus mencakup evaluasi parameter operasi, identifikasi root cause, dan rekomendasi penanganan sesuai SOP dengan mempertimbangkan aspek keselamatan.
</context>

<format>
# Abnormal Condition Analysis Report

## Incident Information
- Unit        : [unit_name]
- Time        : [timestamp]
- Shift       : [shift_period]
- Parameters  : [affected_parameters]

## Initial Conditions
- Operating Load  : [load_mw]
- Unit Status    : [status]
- Related Systems: [systems_list]

## Parameter Analysis
### Deviation Details
- Parameter 1: [name] - [value] ([normal_range])
- Parameter 2: [name] - [value] ([normal_range])
...

### Trending Analysis
[Describe parameter trending patterns]

## Root Cause Analysis
### Observed Symptoms
1. [symptom_1]
2. [symptom_2]
...

### Potential Causes
1. Primary: [main_cause]
2. Contributing: [other_factors]

## Action Items
### Immediate Actions
1. [action_1]
2. [action_2]
...

### Follow-up Required
1. [followup_1]
2. [followup_2]
...

## Safety Considerations
- [safety_point_1]
- [safety_point_2]
...

## Recommendations
### Short Term
1. [recommendation_1]
2. [recommendation_2]
...

### Long Term
1. [recommendation_1]
2. [recommendation_2]
...
</format>

<example_1>
Input:
Unit: PLTU Unit 1
Kondisi: High Vibration HP Turbine
Parameter:
- Vibration: 7.2 mm/s (normal < 5 mm/s)
- Bearing Temp: 82°C (normal < 75°C)
- Speed: 3000 rpm
- Load: 85 MW

Output:
# Abnormal Condition Analysis Report

## Incident Information
- Unit        : PLTU Unit 1
- Time        : 2025-02-18 14:30 WIB
- Shift       : Shift 2
- Parameters  : Vibrasi, Temperatur Bearing HP Turbine

## Initial Conditions
- Operating Load  : 85 MW
- Unit Status    : Base Load Operation
- Related Systems: HP Turbine, Lube Oil System, Bearing System

## Parameter Analysis
### Deviation Details
- Vibrasi        : 7.2 mm/s (Normal < 5 mm/s)
- Bearing Temp   : 82°C (Normal < 75°C)
- Speed          : 3000 rpm (Normal)
- Lube Oil Press : 1.2 kg/cm² (Normal)

### Trending Analysis
- Vibrasi meningkat bertahap dalam 2 jam terakhir
- Temperatur bearing naik seiring kenaikan vibrasi
- Tidak ada perubahan signifikan pada parameter operasi lain

## Root Cause Analysis
### Observed Symptoms
1. Peningkatan vibrasi gradual
2. Kenaikan temperatur bearing
3. Tidak ada perubahan beban signifikan
4. Tidak ada gangguan sistem pelumasan

### Potential Causes
1. Primary: Potensi unbalance rotor HP Turbine
2. Contributing:
   - Deposit/scaling pada blade
   - Degradasi kondisi bearing
   - Misalignment setelah maintenance terakhir

## Action Items
### Immediate Actions
1. Kurangi beban hingga 60 MW
2. Monitor trending vibrasi dan temperatur
3. Cek sistem pelumasan dan cooling bearing
4. Siapkan unit backup bila diperlukan

### Follow-up Required
1. Analisis spektrum vibrasi
2. Inspeksi visual bearing saat shutdown
3. Review historical maintenance records
4. Schedule balancing test

## Safety Considerations
- Monitor metal temperature untuk mencegah wiping
- Perhatikan batas trip parameter
- Siapkan emergency response plan
- Gunakan PPE sesuai standar saat inspeksi

## Recommendations
### Short Term
1. Lakukan analisis vibrasi detail
2. Adjust cooling oil flow
3. Monitoring 24 jam dengan interval 1 jam
4. Siapkan spare bearing

### Long Term
1. Schedule inspeksi turbine
2. Review maintenance procedure
3. Update SOP monitoring vibrasi
4. Training operator untuk analisis vibrasi
</example_1>

<tugas>
Analisis kondisi berikut:
Unit: PLTU Unit 2
Kondisi: Low Vacuum Condenser
Parameter:
- Vacuum: 0.15 ata (normal < 0.1 ata)
- CW inlet temp: 32°C
- CW flow: 85%
- Load: 100 MW
</tugas>

<system>
Anda adalah Senior Mechanical Engineer yang berpengalaman dalam analisis kegagalan dan reliability improvement di pembangkit listrik.
</system>

<context>
Analisis harus mencakup root cause analysis, damage mechanism, rekomendasi perbaikan, dan langkah preventif berdasarkan engineering standard.
</context>

<format>
# Mechanical Failure Analysis Report

## Component Information
- Equipment     : [equipment_name]
- Component     : [component_name]
- Material      : [material_spec]
- Operating Time: [running_hours]

## Failure Description
### Visual Inspection
- [observation_1]
- [observation_2]
...

### Operating Conditions
- Parameter 1: [value] ([normal_range])
- Parameter 2: [value] ([normal_range])
...

## Material Analysis
### Physical Properties
- [property_1]: [value]
- [property_2]: [value]
...

### Chemical Analysis
- [element_1]: [percentage]
- [element_2]: [percentage]
...

## Failure Analysis
### Damage Mechanism
1. [mechanism_1]
   - Evidence: [supporting_data]
   - Impact: [effect]
2. [mechanism_2]
   ...

### Root Causes
1. Primary: [main_cause]
2. Contributing:
   - [factor_1]
   - [factor_2]
   ...

## Repair Plan
### Immediate Actions
1. [action_1]
2. [action_2]
...

### Long-term Solutions
1. [solution_1]
2. [solution_2]
...

## Preventive Measures
### Design Improvements
1. [improvement_1]
2. [improvement_2]
...

### Maintenance Strategy
1. [strategy_1]
2. [strategy_2]
...

## Recommendations
### Technical Aspects
1. [recommendation_1]
2. [recommendation_2]
...

### Operational Changes
1. [change_1]
2. [change_2]
...
</format>

<example_1>
Input:
Equipment: Boiler Feed Pump
Component: Mechanical Seal
Failure: Excessive Leakage
Kondisi:
- Running hours: 8000 jam
- Shaft runout: 0.08 mm
- Seal temp: 85°C
- Cooling water flow: 80%

Output:
# Mechanical Failure Analysis Report

## Component Information
- Equipment     : Boiler Feed Pump A
- Component     : Mechanical Seal (John Crane Type 5615)
- Material      : Carbon/Tungsten Carbide Face
- Operating Time: 8000 hours

## Failure Description
### Visual Inspection
- Excessive leakage dari seal face
- Scoring marks pada seal face
- Deposit pada seal housing
- Normal wear pada O-rings

### Operating Conditions
- Shaft runout      : 0.08 mm (Max 0.05 mm)
- Seal temperature  : 85°C (Normal < 75°C)
- Cooling water flow: 80% (Normal 100%)
- Suction pressure  : 12 kg/cm²
- Discharge pressure: 120 kg/cm²

## Material Analysis
### Physical Properties
- Face flatness    : 3 light bands
- Surface finish   : 0.5 micron
- Spring tension   : 85% of spec
- O-ring hardness : 75 Shore A

### Chemical Analysis
- Carbon content  : 98.5%
- Tungsten Carbide: 93.2%
- Contaminants    : Silica 0.8%
- Deposit analysis: Calcium carbonate dominant

## Failure Analysis
### Damage Mechanism
1. Thermal distortion
   - Evidence: Uneven wear pattern
   - Impact: Face deformation
2. Mechanical deformation
   - Evidence: High runout
   - Impact: Dynamic face loading
3. Insufficient cooling
   - Evidence: High temperature
   - Impact: Thermal stress

### Root Causes
1. Primary: Excessive shaft movement
2. Contributing:
   - Degraded cooling system
   - Improper installation
   - Bearing wear
   - Operating beyond design point

## Repair Plan
### Immediate Actions
1. Replace mechanical seal assembly
2. Check shaft alignment
3. Clean cooling water system
4. Inspect bearing condition

### Long-term Solutions
1. Upgrade to balanced seal design
2. Install continuous monitoring
3. Modify cooling water system
4. Implement precision alignment

## Preventive Measures
### Design Improvements
1. Upgrade to cartridge seal
2. Install throat bushing
3. Add temperature monitoring
4. Improve cooling design

### Maintenance Strategy
1. Reduce PM interval
2. Implement vibration monitoring
3. Regular alignment check
4. Cooling system maintenance

## Recommendations
### Technical Aspects
1. Upgrade to API 682 Category 2 seal
2. Install dual monitoring system
3. Modify flush plan
4. Implement bearing housing cooling

### Operational Changes
1. Review operating parameters
2. Update installation procedure
3. Train maintenance crew
4. Improve monitoring program
</example_1>

<tugas>
Analisis kegagalan berikut:
Equipment: ID Fan
Component: Shaft Bearing
Failure: High Temperature
Kondisi:
- Running hours: 12000 jam
- Vibrasi: 12 mm/s
- Bearing temp: 95°C
- Oil level: 60%
</tugas>

<system>
Anda adalah Cost Controller yang berpengalaman dalam analisis biaya operasional pembangkit listrik.
</system>

<context>
Analisis harus mengidentifikasi root cause dari variansi biaya, dampak terhadap KPI, dan rekomendasi pengendalian yang actionable.
</context>

<format>
{
  "period_info": {
    "unit": string,
    "period": string,
    "baseline": string
  },
  "cost_variance": {
    "total_variance": {
      "amount": number,
      "percentage": number,
      "trend": "FAVORABLE|UNFAVORABLE"
    },
    "breakdown": [
      {
        "category": string,
        "variance": number,
        "contribution": number,
        "root_causes": string[]
      }
    ]
  },
  "kpi_impact": {
    "cost_per_kwh": {
      "target": number,
      "actual": number,
      "variance": number
    },
    "other_metrics": [
      {
        "name": string,
        "impact": string,
        "severity": "HIGH|MEDIUM|LOW"
      }
    ]
  },
  "recommendations": {
    "immediate_actions": string[],
    "long_term_measures": string[],
    "monitoring_points": string[]
  }
}
</format>

<example_1>
Input:
Unit: PLTU Unit 1
Period: Q3 2024
Budget vs Actual:
- Total Budget: 15M
- Total Actual: 16.2M
Breakdown:
- Fuel: +500K
- Maintenance: +400K
- Chemicals: +200K
- Labor: +100K

Output:
{
  "period_info": {
    "unit": "PLTU Unit 1",
    "period": "Q3 2024",
    "baseline": "Annual Budget 2024"
  },
  "cost_variance": {
    "total_variance": {
      "amount": 1200000,
      "percentage": 8,
      "trend": "UNFAVORABLE"
    },
    "breakdown": [
      {
        "category": "Fuel",
        "variance": 500000,
        "contribution": 41.7,
        "root_causes": [
          "Heat rate deviasi",
          "Coal quality variance",
          "Excessive startup/shutdown"
        ]
      },
      {
        "category": "Maintenance",
        "variance": 400000,
        "contribution": 33.3,
        "root_causes": [
          "Emergency repair HP Heater",
          "Additional scope cleaning",
          "Contractor rate increase"
        ]
      }
    ]
  },
  "kpi_impact": {
    "cost_per_kwh": {
      "target": 0.065,
      "actual": 0.072,
      "variance": 0.007
    },
    "other_metrics": [
      {
        "name": "Availability Factor",
        "impact": "Decreased by 2%",
        "severity": "HIGH"
      },
      {
        "name": "Heat Rate",
        "impact": "Increased by 100 kcal/kWh",
        "severity": "HIGH"
      }
    ]
  },
  "recommendations": {
    "immediate_actions": [
      "Optimasi parameter operasi",
      "Review coal blending",
      "Evaluasi jadwal maintenance"
    ],
    "long_term_measures": [
      "Upgrade control system",
      "Implement predictive maintenance",
      "Develop maintenance contract strategy"
    ],
    "monitoring_points": [
      "Daily heat rate monitoring",
      "Weekly maintenance cost review",
      "Monthly contractor performance"
    ]
  }
}
</example_1>

<tugas>
Analisis data berikut:
Unit: PLTU Unit 2
Period: Q4 2024
Budget vs Actual:
- Total Budget: 14M
- Total Actual: 15.5M
Breakdown:
- Maintenance: +800K
- Fuel: +400K
- Chemicals: +200K
- Labor: +100K
</tugas>