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All Journal Innofarm Jurnal Inovasi Pertanian GEA, Jurnal Pendidikan Geografi Indonesian Journal of Earth Sciences
Mukarrom, Faisol
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Education Environmental Science Social Sciences

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Comparison of Global and Local Deterministic Interpolation Methods to Predict Spatial Distribution of Ni, Fe and MgO in Nickel Laterite Deposits Purnomo, Hendro; Rande, Shilvyanora Aprilia; Wijaya, R. Andy Erwin; Mukarrom, Faisol
Jurnal Pendidikan Geografi Gea Vol 24, No 1 (2024)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v24i1.61886

Abstract

The selection of an interpolation method that complies with the availability of data, to map the grade distribution of mineral commodities, is an important issue in every stage of exploration in the mining industry. A reliable method can produce accurate predictions of the grade distribution of deposits so that it can be used to properly evaluate the economic potential of a mineral deposit. The objective of this research was to compare the performance of four deterministic interpolation methods, including Global Polynomial Interpolation (GPI), Radial Basis Function (RBF), Inverse Distance Weighting (IDW), and Local Polynomial Interpolation (LPI), to map the distribution of Ni, Fe, and MgO. The evaluation of the interpolation results was carried out using the cross-validation technique through the statistical parameters Mean Error (ME), Root Mean Square Error (RMSE), and Mean Relative Error (MRE). The results of the comparison show that the performance of the RBF method is the most accurate as indicated by the lowest RMSE and MRE values, or the ME value that is closest to zero. It can be concluded that the RBF interpolation technique is the best method for predicting the spatial distribution of Ni, Fe, and MgO grades in this study area.
KOMPOSIT BERBASIS LIMBAH PENAMBANGAN BATUBARA UNTUK PENGOLAHAN AIR ASAM TAMBANG: Lempung, air asam tambang, besi, mangan Mukarrom, faisol; Jumriyatin, Jumriyatin
Innofarm:Jurnal Inovasi Pertanian Vol. 26 No. 1 (2024): JURNAL INNOFARM : Jurnal Inovasi Petanian
Publisher : FAKULTAS PERTANIAN UNIVERSITAS SLAMET RIYADI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33061/innofarm.v26i1.10208

Abstract

Stripping coal overburden that contains sulfides and is in contact with air causes the formation of acid mine drainage (AAT). Acid mine water that has a pH < 4 will react and dissolve metals in its path, resulting in the formation of dangerous toxic materials which are very detrimental to the environment and human health. One AAT treatment method that is easy to implement with low operational costs is passive treatment using the adsorption method. Adsorption is an effective method for overcoming the problem of acid mine drainage because of its economy and the abundant availability of adsorbents in nature. This research aims to determine the effectiveness and adsorption capacity of a composite consisting of mudstone derived from coal cover layer material, zeolite and coconut shell charcoal as an absorber of Fe and Mn in acid mine drainage. In this research, Tanjung Enim clay, South Sumatra was calcined at a temperature of 600-700 ºC and characterized using X-Ray Diffraction (XRD) and Surface Area Analyzer (SAA). This research uses experimental methods in the laboratory. The types of mudstone minerals are kaolinite, zeolite: mordenite, and coconut shell charcoal: cristobalite. The composite was made with 3 ratios (Claystone[C] : Quartz Sand (P): Charcoal[A]) = 20:40 : 40, 25:25:50, and 10:20:70. The best composite adsorption level for Fe and Mn at C::P:A= 10:20:70
Productivity Assessment of Digging and Loading Equipment (Cat 330D2L) and Hauling Equipment (Fuso 220PS) in Coal Mining at PT. Bhumi Sriwijaya Perdana Coal, Musi Banyuasin Regency, South Sumatra Prasetyo, Yoga Tri; Paradise, Mycelia; Mukarrom, Faisol
Indonesian Journal of Earth Sciences Vol. 4 No. 2 (2024): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.1226

Abstract

PT. Bhumi Sriwijaya Perdana Coal, a coal mining company located in Musi Banyuasin District, South Sumatra, utilizes Caterpillar 330D2L excavators and Mitsubishi Fuso 220PS dump trucks for coal extraction activities. The company set a production target of 52,612 tons/month for March 2023. However, actual production fell short, with the hauling equipment achieving only 41,260.08 tons/month, despite the loading equipment exceeding the target with 59,086.93 tons/month. This research aims to identify factors hindering the achievement of production targets and propose strategies for improvement. The analysis revealed that the mismatch between the loader and hauler operations, reflected by a low match factor of 0.57, was a significant contributor to inefficiencies. Additional challenges included extended cycle times influenced by front-loading patterns, hauling path conditions, and equipment synchronization. After implementing improvements, including cycle time optimization and increased loading flow, the productivity of the Mitsubishi Fuso 220PS dump trucks increased to 59,732.67 tons/month. The match factor between the Caterpillar 330D2L and the Mitsubishi Fuso 220PS improved to 0.83, demonstrating enhanced operational alignment. These findings highlight the importance of addressing cycle times, optimizing equipment compatibility, and improving workflows to meet production targets effectively.
Co-Authors Hendro Purnomo Jumriyatin, Jumriyatin Mycelia Paradise Prasetyo, Yoga Tri R. Andy Erwin Wijaya Shilvyanora Aprilia Rande, Shilvyanora