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Real-Time IoT Integration for Coal Production And Distribution Management Hendra Sani; Rachmat Rasyid; Siti Nur Asia; Syamsuddin Syamsuddin; Suherwin Suherwin; Răzvan Șerban
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1295

Abstract

The coal production and distribution industry faces persistent challenges in data management, operational coordination, and decision-making efficiency. Conventional monitoring methods often result in delayed reporting, low data accuracy, and limited adaptability to dynamic market demands. This study addresses the lack of an intelligent and integrated information system by designing and developing a real-time IoT-based solution for coal production and distribution management. The system was built using the Software Development Life Cycle (SDLC) with the Waterfall model and integrates IoT sensors to automatically capture critical parameters such as pressure, temperature, and coal quality indicators. Artificial Intelligence (AI) components were incorporated to enhance data analysis and support predictive decision-making. System evaluation through simulation with dummy data demonstrated notable improvements, including a 40% reduction in reporting response time and a 95% increase in operational data accuracy. The system also enabled faster production monitoring, streamlined distribution processes, and provided decision-makers with reliable real-time insights. User feedback confirmed the system’s effectiveness in improving accessibility, monitoring efficiency, and overall operational performance in coal production and distribution management.
Integrated Green Mining Technology Package for Emission Reduction: A Design Science Approach in an Indonesian Open-Pit Mine Hendra Sani; Syamsuddin Syamsuddin
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1621

Abstract

Mine decarbonisation studies still tend to evaluate electrification, energy efficiency, and renewable energy as separate interventions; therefore, evidence on integrated operational deployment remains limited, particularly for medium-scale open-pit mines in developing countries. This study evaluates whether an integrated green mining package can reduce Scope 1 and 2 emissions without undermining day-to-day operational reliability. Using a Design Science Research approach, the study developed and piloted a package consisting of trolley-assist haulage, battery-electric support vehicles, variable speed drives for dewatering pumps, an energy management system, and a solar PV–battery microgrid. Baseline and pilot performance were compared over two three-month periods using fuel logs, electricity meters, telematics, and PV/battery logger data. Emissions were calculated from activity data and IPCC-based emission factors, while renewable integration was assessed using HOMER Pro simulation. Diesel consumption declined from 4,000,000 L to 3,256,000 L (−18.6%), and purchased electricity decreased from 10,000 MWh to 9,060 MWh (−9.4%). The PV system generated 4,050 MWh, supplying about 30.9% of pilot-period electricity demand. Total Scope 1 and 2 emissions fell from 18,920 tCO₂e to 16,155 tCO₂e (−14.6%). The pilot also showed that electrification increased on-site electricity demand, making EMS coordination and renewable supply critical enabling conditions rather than optional add-ons. The novelty of this study lies in field-validating an integrated decarbonisation package instead of a single technology. The findings provide operational-scale evidence for medium-scale mines and support policies on electrification-ready microgrids, performance-based incentives, and standardised Scope 1 and 2 reporting.
Evaluating the Effectiveness of a Pilot-Scale Subsurface-Flow Constructed Wetland for Reducing Iron, Manganese, and Sulfate in Acid Mine Drainage from Former Coal Mining Areas Zulfahmi Zulfahmi; Hendra Sani; Syamsuddin Syamsuddin
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1624

Abstract

Acid mine drainage from former coal mining areas is characterized by low pH and elevated concentrations of dissolved metals and sulfate, which may degrade receiving-water quality and create long-term environmental risk. This study evaluated the effectiveness and applied relevance of a pilot-scale subsurface-flow constructed wetland in improving acid mine drainage quality by increasing pH and reducing iron, manganese, and sulfate. The novelty of the study lies in the integrated use of gravel, sand, limestone, organic support media, and wetland vegetation within a pilot unit designed for post-mining rehabilitation conditions, while assessing pH, Fe, Mn, and sulfate simultaneously as key indicators of treatment performance. A quasi-experimental pretest–posttest approach was used by comparing influent and effluent quality after treatment through the wetland media. The influent had a pH of 3.2, Fe of 12.50 mg/L, Mn of 8.20 mg/L, and sulfate of 420.00 mg/L. After treatment, the effluent pH increased to 6.1, while Fe decreased to 3.40 mg/L, Mn to 2.70 mg/L, and sulfate to 180.00 mg/L. The corresponding removal efficiencies were 72.80% for Fe, 67.07% for Mn, and 57.14% for sulfate. These findings indicate that pilot-scale subsurface-flow constructed wetlands can provide a simple, low-energy, and environmentally compatible option for post-mining water management and may support practical rehabilitation strategies where long-term chemical dosing is difficult to sustain.