DISTRIBUTION STUDY OF REES (RARE EARTH ELEMENTS)-BEARING MINERALS IN PT TIMAH TBK’S MINING BUSINESS LICENSE AREA TO SUPPORT THE COMPILATION OF EXPLORATION SAMPLE HANDLING RESULT SOP

• Main Author: Satria Pradana, Andika
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/40148
• Institution: Institut Teknologi Bandung

PT Timah Tbk is a state-owned company that has tin metal Mining Business License or well known as Izin Usaha Pertambangan (IUP) which plans to make rare earth metal commodities as a by-product of tin metal extraction as the main commodity. Based on research, REEs (Rare Earth Elements)-bearing minerals quite dominant in each drilling sample by PT Timah Tbk which are ilmenite, rutile, zircon, monazite, and xenotime. Exploration of tin metal still continue by PT Timah Tbk. Nevertheless, the exploration of Rare Earth Metal (REM) is limited to the REEs-bearing minerals grade documentation in the drilling sample only. Therefore, on this occasion, writer aims to study and analyze the distribution of REEs-bearing minerals to look for important aspects that must be considered by PT Timah Tbk in designing the right SOP (Standard Operating Procedure) of exploration sample handling result for cassiterite mineral extraction without ignoring the presence of REEs-bearing minerals that are prospects to be mined. Moreover, the writer will analyze the exploration sampling SOP which owned by PT Timah Tbk considering the physical property(es) of the REEs-bearing minerals. This research begins with secondary data collection from Pusat Pencucian Bijih Timah (PPBT), samples from Southern Bangka District, and samples from Badau Subdistrict. The data which used by the writer originated from primary, alluvial, concentrate, and tailing samples that exist in each region which then the grade of REEs-bearing minerals are quantified from grain counting data. The next steps are recapitulation, data-processing, and data-presenting using statistical methods. Then, discussion, analysis, and conclusions are taken based on the results of data-processing that answer the problem formulation and the purpose of this study.