#TITLE_ALTERNATIVE#

• Main Author: ISHLAHUL AZIZ (NIM 12104013), MOHAMAD
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/8630
• Institution: Institut Teknologi Bandung

Mineral resource /reserve estimation is most important in mining evaluation, because technical consideration that concerned with mining problem depending on total reserves/resource. Based on field study only data from bore hole where it is very limited than actual condition. Therefore to produce resource/reserve value that near with actual condition is required data management and modeling. <br /> <br /> <br /> To provide contribution about handling, summary and present exploration data as simple model conceptually and comprehensive as well as enables to estimates resource/reserve, then made program algorithm to determine deposition and border zones namely top soil zone, low ore saprolite zone (LSOZ), high saprolite ore zone (HSOZ) and bedrock zone based on parameter selected and to estimates average grade value as well as optimize zone based on Ni in ore zone. For study used bore hole data from Gee and Pakal Islands. <br /> <br /> <br /> With using this program, we can save data management time and predict how far we can mine at low grade zone to get more ore volume with minimum Ni grade is above than minimum grade zone . From result study founded that top soil zone of Pakal Island thicker than top soil zone at Gee Island. It can maximally reach 9 meters while Pakal Island top soil can reach thickness until 30 meters and good distributed until top soil thickness reach 17 meters. While Ni, Fe and MgO at Pakal Island is almost with Gee Island but Mgo at Pakal Island more lower than Gee Island. <br />