Analisis Fragmentasi Hasil Peledakan Terhadap Pembongkaran Overburden Pada PIT 4 Middle di PT. Victor Dua Tiga Mega, Kalimantan Tengah

Geraldho T. Simatupang; Noveriady Noveriady; Dody A. K. Wijaya

doi:10.61132/globe.v4i2.1363

Authors

Geraldho T. Simatupang Universitas Palangka Raya
Noveriady Noveriady Universitas Palangka Raya
Dody A. K. Wijaya Universitas Palangka Raya

DOI:

https://doi.org/10.61132/globe.v4i2.1363

Keywords:

Blasting, Boulder, Fragmentation, Kuz-Ram, Overburden, WipFrag

Abstract

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

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