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Journal : West Science Interdisciplinary Studies

Evaluation of Production Capability of Transportation Equipment and Loading Equipment in Limestone Mining at PT X, South Sulawesi Muhammad Tri Aditya; Deni Putra Arystianto; Harsalim Aimunandar Jayaputra; Helik Susilo; Gindang Rain Pratama
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1505

Abstract

This study focuses on the evaluation of the production capacity of loading and hauling equipment in limestone mining operations at PT. X, South Sulawesi Province. The selection of this topic is based on the importance of operational efficiency in limestone mining which has a direct impact on the productivity and sustainability of the cement industry. The main objectives of this study are to determine the actual production of loading and hauling equipment, determine the number of equipment needed to meet production targets and identify compatibility factors between mechanical equipment at the mining site. The methods used include field data collection involving measurement of cycle time and production capacity of loading and hauling equipment. The data obtained are then processed using statistical methods to ensure the accuracy of the results. Data analysis is carried out by considering variables such as work efficiency, cycle time, and equipment capacity. The results show that Kobelco SK 480 LC has the highest production capacity (509.34 tons/hour), followed by Komatsu PC 400 (448.25 tons/hour) and PC 300 (417.05 tons/hour). To achieve the Crusher production target of 1450 tons/hour, a combination of loading equipment and dump trucks with a compatibility factor between 0.87 and 0.92 is required, indicating potential for increased efficiency. It is recommended to improve maintenance of equipment and mining roads to optimize productivity.
Analysis of The Suitability of Frequency Distribution of Rainfall Data and Rainfall Return Period at PT. X, Kutai Kartanegara Regency, East Kalimantan Aditya, Muhammad Tri; Susilo, Helik
West Science Interdisciplinary Studies Vol. 3 No. 05 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i05.2038

Abstract

Annual maximum rainfall is a critical parameter in mine planning, particularly for the design of drainage systems and hydrometeorological disaster mitigation. This study aims to analyze the frequency distribution of rainfall and estimate design rainfall for various return periods in the operational area of PT X, located in Kutai Kartanegara Regency, East Kalimantan. The dataset comprises 11 years of annual maximum rainfall data from 2013 to 2023. Four probability distribution models were evaluated: Gumbel, Normal, Log-Normal, and Log Pearson Type III. Goodness-of-fit testing was conducted using the Chi-Square and Kolmogorov-Smirnov methods. The Chi-Square test results indicate that all distributions are acceptable at a 5% significance level, but only the Gumbel distribution is valid at a 1% level. The Kolmogorov-Smirnov test confirms that all distributions are statistically acceptable at both significance levels. Design rainfall values were calculated for return periods of 2, 5, 10, 25, 50, and 100 years. The highest rainfall for the 2-year return period was produced by the Normal distribution (307.24 mm), while the Gumbel distribution yielded the highest values for return periods from 5 to 100 years, reaching a peak of 493.86 mm for the 100-year return period. These results suggest that the Gumbel distribution is the most suitable model for representing extreme rainfall events in the study area and is recommended for application in mine drainage system design and surface runoff control planning.
Analysis of Decreased Limestone Production on the Effect of Rainfall with the Linear Regression Method Aditya, Muhammad Tri; Susilo, Helik; Fanani, Yazid
West Science Interdisciplinary Studies Vol. 1 No. 10 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i10.334

Abstract

Limestone mining is a quarry system mining . Its production is influenced by weather factors, especially rainfall. This study aimed at determining the mathematical model wich is able to correlate the influence of rainfall on production of limestone. In addition, it analyzed the correlation between rainfall and limestone production using linear regression method. There are four important steps in this research. The first step is to collect data production and production factors. The second step is to process the data into a mathematical model using linear regression. The third step is to test the result of the mathematical model with the statistical test method. Then the fourth step is to analyze the mathematical model that has met the statistical test results. The results showed that the best mathematical model was: Log P = 0.502 x LOG((JO X Pr) 1.99 x (CH)-0.001) + 0.0002. In conclusion, the effect of rainfall toward the production derivation was very low. Besides, operation hours and productivity also affected production derivation.
Evaluation of Production Capability of Transportation Equipment and Loading Equipment in Limestone Mining at PT X, South Sulawesi Aditya, Muhammad Tri; Arystianto, Deni Putra; Jayaputra, Harsalim Aimunandar; Susilo, Helik; Pratama, Gindang Rain
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1505

Abstract

This study focuses on the evaluation of the production capacity of loading and hauling equipment in limestone mining operations at PT. X, South Sulawesi Province. The selection of this topic is based on the importance of operational efficiency in limestone mining which has a direct impact on the productivity and sustainability of the cement industry. The main objectives of this study are to determine the actual production of loading and hauling equipment, determine the number of equipment needed to meet production targets and identify compatibility factors between mechanical equipment at the mining site. The methods used include field data collection involving measurement of cycle time and production capacity of loading and hauling equipment. The data obtained are then processed using statistical methods to ensure the accuracy of the results. Data analysis is carried out by considering variables such as work efficiency, cycle time, and equipment capacity. The results show that Kobelco SK 480 LC has the highest production capacity (509.34 tons/hour), followed by Komatsu PC 400 (448.25 tons/hour) and PC 300 (417.05 tons/hour). To achieve the Crusher production target of 1450 tons/hour, a combination of loading equipment and dump trucks with a compatibility factor between 0.87 and 0.92 is required, indicating potential for increased efficiency. It is recommended to improve maintenance of equipment and mining roads to optimize productivity.