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Sri Widodo
Hasanuddin University

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Perbandingan Antara Metode Poligon, Inverse Distance Weighting, Dan Ordinary Kriging Pada Estimasi Sumberdaya Timah Aluvial, Dan Analisis Sebaran Endapannya Muhammad Syahrul Ramadhan; Asran Ilyas; Irzal Nur; Sri Widodo
Jurnal Geomine Vol 9, No 3 (2021): Edisi Desember 2021
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jg.v9i3.1054

Abstract

Pulau Bangka merupakan satu dari sekian banyak daerah di Indonesia yang memiliki potensi sumberdaya mineral yang cukup banyak. Salah satunya adalah endapan timah. Penyebaran timah di Pulau Bangka merupakan kelanjutan dari Tin Mayor South East Asian Tin Belt. Endapan timah merupakan komoditas utama dalam eksplorasi endapan mineral logam di Pulau Bangka yang membuat Indonesia merupakan salah satu negara penghasil timah terbesar di dunia. Salah satu perusahaan pertambangan bijih timah di Bangka Belitung adalah PT Timah Tbk yang mengeksplorasi dan mengestimasi sumberdaya mineral yang dilanjutkan dengan proses perhitungan cadangan. Penelitian ini bertujuan untuk mengetahui besarnya sumberdaya timah aluvial dan menganalisis sebaran timah aluvial dengan mempertimbangkan genesis endapan timah aluvial pada sungai purba. Pada penelitian ini dilakukan estimasi sumberdaya dengan menggunakan metode poligon, inverse distance weighting, dan ordinary kriging untuk mengetahui metode yang tepat berdasarkan kondisi geologi, genesis endapan, dan mineralisasi dari endapan yang diestimasi. Berdasarkan hasil estimasi dari tiga kategori kelas sumberdaya (terukur, tertunjuk dan tereka) dengan metode poligon didapatkan total sumberdaya endapan timah aluvial sebesar 8732 ton Sn, dengan metode inverse distance weighting sebesar 8627 ton Sn, dan dengan metode ordinary kriging sebesar 8752 ton Sn. Sebaran timah pada lokasi penelitian banyak terkonsentrasi pada bagian punggungan (hulu) sungai purba, semakin jauh dari hulu menunjukkan konsentrasi endapan timah aluvial semakin menurun. Dari hasil analisis besarnya sumberdaya dan sebaran timah aluvial, maka metode estimasi yang paling optimal dilakukan adalah metode ordinary kriging.
Analisis Karakteristik Mineralogi dan Geokimia Berdasarkan Zona Profil Endapan Nikel Laterit (Studi Kasus: Blok X PT Ang and Fang Brother, Site Lalampu, Kecamatan Bahodopi, Kabupaten Morowali, Provinsi Sulawesi Tengah Asran Ilyas; Agung Rian Pasolo; Sri Widodo
Jurnal Geomine Vol 10, No 1 (2022): Edisi April 2022
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jg.v10i4.1165

Abstract

Regionally, the study area is located in the Ophiolite Belt of East Sulawesi, particularly in the Tomata Formation (Tmpt), and is composed of igneous rock distribution in the Ultramafic Complex (Ku). The exposed of ultramafic rocks, caused the study area to contain elements of economic value such as nickel. The study aims to identify the constituent minerals, determine the abundance of elements and compounds, as well the correlation of major and minor elements and compounds based on the profile zone of laterite nickel deposits. Study data were in the form of soil and rock samples, and drilling data as many as 59 points. The mineral content of the study results was obtained based on the analysis of X-ray Diffraction and Petrography, while the univariate and bivariate statistical analysis was carried out on the drilling data. The results of the analysis obtained assemblages of minerals in the form of goethite, hematite, chlorite, and quartz in the limonite zone; antigorite, enstatite, chlorite, quartz, and magnetite in the saprolite zone; and lizardite, enstatite, spinel, and magnetite in the bedrock zone, with the bedrock type being serpentinized harzburgite. The results of the descriptive analysis showed the grade of major elements and compounds, which are Fe, SiO2, MgO, and Al, as well as minor elements, which are Ni, Cr, Co, Ca, and Mn which varied in each zone, where grade of SiO2, MgO, and Ca increased to the bottom of the profile, and the grade of Fe, Al, Cr, Mn, and Co decreased towards the bottom of the profile, while Ni increased to the saprolite zone. The results of the correlation of elements and compounds in the limonite zone are Cr vs Mn; SiO2 vs MgO and Ca; Ni vs Co and Cr; Fe vs Co positive is very strong to strong correlation, while Fe vs SiO2, MgO vs Al; Al vs Ni is strong negative correlation. Saprolite zone Fe vs Al, Cr, and Co; Cr vs Mn and Co; Mn vs Co; SiO2 vs MgO; Fe vs Mn; Al vs Cr, Mn, and Co were very strong to strong positive correlation, while Fe vs SiO2 and MgO; SiO2 vs Co; MgO vs Cr and Co; SiO2 vs Al, Cr, and Mn; MgO vs Al and Mn were very strong to strong negative correlation. Bedrock zones of Fe vs Cr, Mn, and Co; Cr vs Mn; Fe vs Al; Co vs Al, Cr, and Mn were very strong to strong positive correlation, while MgO vs Fe and Cr were strongly negative correlation.