Journals Mining Engineering: Bina Tambang publishes original research articles, review articles, and technical notes in mining engineering and related earth sciences. The journal aims to advance scientific understanding, improve engineering methods, and connect research findings with practical applications across the mining lifecycle.

The journal welcomes contributions that address technical, operational, environmental, safety, and economic challenges in mineral and coal resource development. Its scope encompasses the following areas:

1. Surface and Underground Mining

Mine planning and design, excavation methods, production scheduling, drilling and blasting, equipment performance, mine ventilation, and operational optimisation.

2. Rock Mechanics and Mining Geotechnics

Rock and soil mechanics applied to mining, rock mass characterisation, geomechanics, slope stability, ground control, underground support systems, subsidence, and geotechnical monitoring.

3. Mineral and Coal Processing

Mineral characterisation, comminution, separation, beneficiation, coal preparation, and the evaluation and improvement of processing performance.

4. Exploration and Applied Geology

Geological characterisation of mineral and coal deposits, exploration methods, applied geophysics, geostatistics, and resource and reserve estimation relevant to mining.

5. Mine Environment and Sustainability

Mine hydrogeology, surface water and groundwater management, acid mine drainage, waste rock and tailings management, reclamation, mine closure, and environmental monitoring.

6. Mine Safety and Occupational Health

Hazard identification, risk assessment, exposure monitoring, and engineering controls to improve safety and occupational health in mining operations.

7. Mining Economics and Decision-Making

Technical and economic feasibility, mine valuation, investment analysis, operational decision-making, and policy analysis directly related to mining engineering.

8. Digital Mining and Computational Methods

Numerical modelling, remote sensing, automation, monitoring systems, data analytics, and artificial intelligence applied to mining problems.

Contribution and Relevance

Submissions must demonstrate a clear relationship to the journal’s scope and present a well-defined scientific or engineering contribution. Studies applying established methods should explain the additional knowledge, validation, or engineering insight they provide.

Local and regional case studies are welcome when their findings, limitations, and implications are clearly explained for a broader scientific and professional readership. Interdisciplinary studies are considered when their connection to mining engineering is explicit and substantial.

Routine calculations, descriptive operational reports, or software outputs that lack adequate analysis, appropriate validation, or a clearly articulated scientific or engineering contribution may be declined during initial editorial assessment.