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Studi Nilai Effective Utilization (EU) terhadap Peningkatan Produksi Pengupasan Lapisan Tanah Penutup Tambang Batubara Lusitania, Lusitania; Razak, Supardi
Mining Science And Technology Journal Vol 4 No 1 (2025): Mining Science and Technology Journal
Publisher : Program Studi Teknik Pertambangan, Fakultas Teknik, Universitas Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54297/minetech-journal.v4i1.923

Abstract

Dalam fleet pengambilan data, produktivitas alat gali muat excavator Komatsu PC 2000 tidak mencapai target yaitu 750 bcm/jam. Ini disebabkan oleh kondisi lapangan yang nyata, di mana alat angkut dan alat gali muat sering berfungsi dengan buruk, menyebabkan waktu tunggu atau penundaan produksi. Tujuan dari penelitian ini adalah untuk menentukan variabel apa saja yang mempengaruhi nilai effective utilization, menganalisis efisiensi dan produktivitas alat gali muat excavator Komatsu PC 2000 sebelum dan sesudah perbaikan, dan menemukan peningkatan nilai produksi dan kehilangan biaya sebelum dan sesudah perbaikan. Hasil penelitian menunjukkan bahwa nilai cycle time menurun selama 42 detik sebelum perbaikan dan menjadi 38 hyd setelah perbaikan. Produksi meningkat dengan nilai awal 2,131.48 bcm dengan kehilangan biaya operasional Rp. 6,001,576.60 menjadi 5,128.56 bcm dan kehilangan biaya operasional Rp. 1,726,387.06 dengan delay time sebelum perbaikan senilai 4.49 jam menjadi 2,25 jam. Ini menunjukkan peningkatan effective utilization sebelum perbaikan sebesar 51% dan peningkatan effective utilization setelah perbaikan sebesar 76%.
A Study on the Prediction of Acid Mine Drainage Formation Rate Using Free Draining Column Leach Test for Acid Mine Drainage Prevention at Laboratory Scale Jarwinda, Jarwinda; Wibowo, Yudha Gusti; Khanafy, Abdul; Putri, Ilmi Tazkia; Fadillah, M Rizky; Lusitania, Lusitania; Kurniawan, Setyo Budi
Jurnal Sumberdaya Alam dan Lingkungan Vol 12, No 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsal.2025.012.02.4

Abstract

ABSTRAK Acid Mine Drainage (AMD) is a major environmental concern in coal mining, particularly in Indonesia where surface mining is widely practiced. The exposure of sulfide minerals to water and oxygen leads to the formation of acidic, metal-laden leachate that poses significant risks to water resources, soil quality, and human health. Conventional treatment methods are often expensive and unsustainable, highlighting the need for preventive approaches. This study aims to predict and minimize AMD formation using the Free Draining Column Leach (FDCL) test under simulated wet-dry cycles. Various configurations of Potentially Acid Forming (PAF) and Non-Acid Forming (NAF) materials were tested, with the addition of biochar and zeolite as amendment layers. Static tests, including paste pH, NAG pH, NAPP, and Acid-Base Accounting (ABA), were used to classify the acid-generating potential of the samples. X-ray Diffraction (XRD) was conducted to assess mineral composition, and leachate was analyzed for pH and Total Dissolved Solids (TDS). Results showed that Scheme 3 (PAF–NAF–PAF) had the highest acid generation potential (pH < 4), while Schemes 4 and 5, which included biochar and zeolite, maintained neutral to alkaline conditions and lower TDS. These findings demonstrate the potential of local materials to reduce AMD risks and emphasize the importance of early prevention strategies. The FDCL method offers a valuable tool for improving mine waste management in alignment with sustainable mining practices. Keywords: Acid mine drainage; FDCL test; AMD prediction; biochar; zeolite; mine waste management
Penentuan Best Performance Loader Pada Operasi Coal Getting PT Dizamatra Powerindo Lusitania; M. Rasyadi Vezariansyah; Wahyu Susilo Wibowo; Siti Diva Indriani; Jarwinda Jarwinda; Sri Desdita Komari; Aisyah Minzikrina Masbar Rus
Jurnal Riset Teknik Pertambangan Volume 6, No. 1, Juli 2026, Jurnal Riset Teknik Pertambangan (JRTP)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrtp.v6i1.9760

Abstract

Abstrak. APencapaian target produktivitas pada kegiatan coal getting terkendala oleh tingginya variabilitas waktu siklus akibat dominasi aktivitas sekunder dan hambatan operasional pada alat muat (loader). Kinerja alat muat sangat dinamis dan dipengaruhi oleh berbagai variabel stokastik seperti kondisi fragmentasi batuan, geometri front kerja, serta keterampilan operator. Penelitian ini bertujuan untuk menganalisis best performance loader Excavator CAT 330 menggunakan pendekatan distribusi statistik guna mengidentifikasi pola operasional yang optimal. Penelitian dilakukan di PIT 4 PT Dizamatra Powerindo dengan metode time study terhadap 382 siklus kerja. Analisis statistik mengungkapkan bahwa distribusi data waktu edar memiliki pola yang bervariasi: aktivitas digging cenderung berdistribusi normal (nearly normal), sedangkan aktivitas dumping, swing kosong, dan delay didominasi oleh distribusi miring positif (right-skewed), serta aktivitas swing isi menunjukkan pola bimodal. Berdasarkan analisis frekuensi dominan, diperoleh nilai best performance produktivitas sebesar 225,96 ton/jam dengan efisiensi kerja 0,89, melampaui target perusahaan sebesar 220 ton/jam. Pendekatan distribusi statistik terbukti efektif dalam menentukan standar produktivitas yang realistis dan mengidentifikasi delay ekstrem sebagai faktor utama penghambat kinerja. Abstract. The achievement of productivity targets in coal getting activities is hindered by high cycle time variability due to the dominance of secondary activities and operational delays in the loader. Loader performance is highly dynamic and influenced by various stochastic variables such as rock fragmentation conditions, working front geometry, and operator skill. This study aims to analyze the best performance of the CAT 330 Excavator loader using a statistical distribution approach to identify optimal operational patterns. The research was conducted at PIT 4 PT Dizamatra Powerindo using a time study method on 382 work cycles. Statistical analysis revealed varied cycle time distribution patterns: digging activities tended to be nearly normal, while dumping, empty swing, and delay activities were dominated by right-skewed distributions, and loaded swing activities showed a bimodal pattern. Based on dominant frequency analysis, the best performance productivity was obtained at 225.96 tons/hour with a work efficiency of 0.89, exceeding the company's target of 220 tons/hour. The statistical distribution approach proved effective in determining realistic productivity standards and identifying extreme delays as the main factor hindering performance.