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STRUCTURAL GEOLOGY FAULT EFFECT ON HIGHWALL COAL MINING AND FAILURE EVALUATION BASED ON VELOCITY DATA AT BENGALON, EAST-KUTAI DISTRIC, EAST KALIMANTAN PROVINCE. Muh Arif Idhan; Gina Audina Alhabsyi; Muhammad Ikbal
Indonesian Mining Professionals Journal Vol 3, No 1 (2021): April
Publisher : PERHAPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36986/impj.v3i1.31

Abstract

The geological structure especially folds and faults will reduce slope stability at slope mining where many events are the main factors that trigger slope failure. The geological structure "unknown" is defined as a minor geological structure that was not defined in the initial geological modeling. This uncertainty geological structure is critical issue during the mining process in coal mining. Slope stability Radar is a monitoring instrument that has been used in this research. In SSR data analysis, graphical behavior from velocity data is for monitoring program. The analysis in this research consisted of measuring the geological structure in the area where slope failure occurred and reading the velocity acceleration data from SSR instrument.Slope failure in this research study conduct on the high-wall coal mining which is in line with the geological structure plane with direction N 2460 E and dip 480, along + 150 m and at elevations RL +30 to RL -10. Velocity value at the time of slope failure was 13,568 mm/hour. This value can then be used as a reference as the “Progressive Velocity” value before the slope failure occurs at certain slope wall conditions.The content case study is expected to help engineers in increasing confidence in determining the characteristics of slope failure based on Velocity data in areas that have a geological structure, however, this study research aims to determine basic behavior in the SSR monitoring program and serve as a reference in the risk management program in the coal Mining industry.
Penentuan Batas Pit Tambang Terbuka Bijih Nikel Berbasis Estimasi Cadangan Inverse Distance Weighting Menggunakan Surpac muhammad ikmal; Ruth Bunga Ranggu; Muh Arif Idhan
Journal Teknik Dan Teknologi  Vol. 2 No. 02 (2026): Juni
Publisher : Fakultas Teknik UPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67494/jtt.v2i02.28

Abstract

This study aims to determine the estimated reserves of lateritic nickel ore and to define the open pit mining boundary based on the obtained estimation results at Block III Batuawu, PT. Tambang Bumi Sulawesi. The reserve estimation was carried out using the Inverse Distance Weighting (IDW) method in Surpac 6.3 software by utilizing drilling data including assay, collar, geology, and survey data. The research stages consisted of database processing, ore body block modeling, application of Cut Off Grade (COG), and open pit design. The results show that the total resource is 1,369,191 tons with an average grade of 1.03% Ni and 31.56% Fe. After applying a COG of 1.3%, an extractable reserve of 404,771 tons was obtained with an average grade of 1.52% Ni and 21.55% Fe. Based on these results, an open pit design was developed with geotechnical parameters of 6 m bench height, 3 m bench width, and 55° slope angle, covering an area of 9.81 Ha with elevation ranges of 38.4–124.4 m. The required overburden removal is 964,421 tons with a stripping ratio of 1.6 : 1, indicating economically feasible mining conditions.
Development and Pilot Evaluation of Sensor-Based Environmental Monitoring and Green Technology Interventions for Pollution Reduction in Indonesian Mining Sites Muh Arif Idhan; Kasmira Kasmira
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.v5i3.1622

Abstract

This study develops and pilot-tests an integrated package of environmentally friendly operational interventions and a sensor-based environmental monitoring system at two mining locations in Indonesia. The research used a pilot multiple-site case study over three months, combining field observation, document review, and repeated measurement of water, air, and soil quality indicators. The analytical focus was on descriptive before–after comparison and compliance-gap assessment, because the pilot dataset was limited to two sites and did not justify inferential statistics. The results show that PM2.5 declined from 58 to 41 µg/m³ at Mine Location A (29.3%) and from 65 to 55 µg/m³ at Mine Location B (15.4%) after intervention. However, several parameters remained above or below the required benchmarks, including turbidity (15–25 NTU versus ≤5 NTU), dissolved oxygen (3.8–4.5 mg/L versus ≥5 mg/L), arsenic (10–12 ppb versus ≤5 ppb), and soil organic matter (2.0–2.5% versus ≥3%). These findings indicate that the monitoring system is effective for early detection and operational feedback, whereas the green technology interventions produced only partial environmental improvement. The study contributes a practical framework for integrating site-level monitoring, threshold-based evaluation, and adaptive environmental management in Indonesia's mining sector. The main implication is that sensor deployment should be scaled together with stronger mine-water treatment, dust suppression, calibration routines, and compliance reporting requirements.
A Weighted Engineering Geological Framework for Evaluating Post-Mining Land Reclamation Suitability Based on Slope, Material Properties, and Drainage Kasmira Kasmira; Muh Arif Idhan
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.v5i3.1623

Abstract

Post-mining reclamation often underperforms when land is considered ready for revegetation without prior engineering geological screening. This study develops and demonstrates a weighted engineering geological framework for evaluating reclamation suitability based on slope condition, material properties, and drainage performance. A descriptive-evaluative design was used by combining land-unit delineation, field observation parameters, basic geotechnical indicators, drainage appraisal, and weighted scoring. To transparently demonstrate the analytical model, simulated but technically plausible data were assigned to four engineering geological zones. The model weights slope at 40%, material properties at 35%, and drainage at 25%. The resulting suitability scores classify Zone A as very suitable (87.2), Zone B as moderately suitable (72.6), Zone C as conditionally suitable (56.9), and Zone D as unsuitable (41.6). The novelty of the study lies in operationalizing slope, material, and drainage variables into a transparent zone-based suitability score, and in positioning engineering geology as the first diagnostic layer of reclamation planning rather than a post-planting correction. The framework helps identify dominant limiting factors and supports staged interventions such as regrading, drainage rehabilitation, material improvement, and phased revegetation. The model is suitable as a pre-screening tool and should be calibrated with site-specific field data in future applications.