Articles

Selecting Outdoor Wireless Solution for Bara Prima Borneo Using Analytic Hierarchy Process

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The advancement of wireless communication technology is critical for improving the efficiency, safety, and productivity of mining operations. This study focuses on evaluating and recommending an optimal outdoor wireless network solution for Bara Prime Borneo (BPB) mining operations in East Kalimantan, Indonesia, using the Analytic Hierarchy Process (AHP) for decision-making. The current Wi-Fi infrastructure faces significant challenges, including limited coverage, interference, and scalability issues, which hinder its effectiveness in the demanding mining environment.

To address these challenges, the study employs a comprehensive approach to identify stakeholder expectations and value perceptions, explore alternative wireless network designs such as Private LTE and Kinetic Mesh, and systematically select the most suitable solution using AHP. Through discussions with subject matter experts and secondary data collection, the study outlines the strengths, weaknesses, opportunities, and threats (SWOT) associated with the existing Wi-Fi network and potential alternatives.

Using AHP, the study prioritizes various criteria such as coverage, reliability, cost, scalability, and security. The recommended design aims to bridge the gap between current capabilities and future needs, ensuring robust and extensive network coverage that supports various digital applications essential for modern mining.

By selecting the proposed solution using AHP, BPB can achieve a more reliable and scalable wireless network, enhancing overall operational efficiency and safety while meeting the evolving demands of its mining operations.

Decision Making to Choose Communication Network System for Teleremote Dozer Operation Using Analytic Hierarchy Process

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One type of heavy equipment is a mining material pushing tool called a dozer. Dozers generally work in areas near cliffs that are prone to landslides, where these areas can be classified as dangerous areas. New technology is needed to increase the safety of dozer operators from the threat of danger when operating a dozer. Teleremote dozers are one method that can reduce the risk of accidents that can happen to dozer operators. Instead of operating the dozer from inside the cabin, the operator operates the dozer via a remote control device.

There is an important aspect in operating a teleremote dozer, namely the need for a signal that will transmit data and commands from the remote control to the dozer unit operating in the field. Good and uninterrupted signal quality is the main key to good teleremote dozer operations with minimal risk.

The wireless signal network system currently used by companies will enter its obsolete period. However, the old system was tough and not easily damaged. There are strategic options for supporting the signal network for teleremote dozer operations: maintaining the old network system, replacing it with a new one, or using the old and new systems in a hybrid manner. Because there will only be one strategy chosen, a decision must be made. The SWOT AHP method is used for decision making regarding the strategy to be taken. The results of the AHP SWOT will produce a strategy, which will become a benchmark for making subsequent alternatives. Determining alternative types of network systems to support teleremote dozer operations will use the AHP method.

Nickel Price Projection Using Multivariate Regression Method and Investment Feasibility Analysis of Nickel Mining in Indonesia with Sensitivity Analysis and Monte Carlo

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Nickel is one of the metals commonly used in various industries. Indonesia is one of the countries that has the largest nickel reserves in the world. Nickel prices will be formed through an equilibrium mechanism between production supply and nickel demand. This study will analyse the relationship between nickel price formation, supply, and demand. Nickel prices will also affect the feasibility of nickel mining investment in Indonesia. The data used in this study consists of market data derived from historical reports of the last 5 – 12 years (2010 – 2022) and mining plan assumptions derived from benchmarks with similar industries. The methods used in this analysis are multivariate regression, discounted cash flow, sensitivity analysis, and Monte Carlo simulation. The results of the analysis that have been carried out show the relationship between nickel supply and demand with prices, with estimated nickel price projection ranging from $16,750 / Ton – to $18,927 / Ton. The factors that most influence the feasibility of mining investment are nickel price, sales realization, water content, contractor costs, and fuel costs. The risk of nickel mining investment in Indonesia based on Monte Carlo simulations is estimated at around 11.36%. This shows that nickel mining investment in Indonesia is still very attractive.

Proposed a Design Company Performance Management System by Using Balanced Scorecard in a Nickel Mining Company (Case: PT Gema Kreasi Perdana)

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Indonesia is one of the countries that has the largest nickel reserves in the world. In the Asian region, Indonesia’s nickel laterite reserves are in the third position. Indonesia’s nickel reserves are around 800 thousand tons or about 30% of the world’s total nickel production, so that Indonesia has the potential to enjoy the demand for this stainless metal [7]. One of the companies that carry out nickel mining in Southeast Sulawesi Province is PT Gema Kreasi Perdana (GKP). As a newly established company, a variety of strategies are implemented to survive and maintain its corporate existence in the mining industry. The company needs a method for measuring performance in order to monitor and analyze company performance. Implementing a Performance Management System is one way that can be used (PMS). Balanced Scorecard (BSC) is the employed PMS in this investigation. BSC is a method for measuring the performance of a firm by bridging the gap between strategy and execution. Based on a literature review, focus group discussions (FGD), and interviews with expert practitioners in their respective fields, objective strategies are determined for each perspective. The aims and initiatives for key performance indicators (KPIs) are determined based on benchmarking with other businesses and company interviews. Data analysis and weighting from each perspective will be carried out using the Analytical Hierarchy Process (AHP) method. In addition to using goal strategies, the researchers cascaded the process from the Business Unit Level to the Individual Level and limited in the HRGA (Human Resource and General Affair) and Strategic Affair Division of PT Gema Kreasi Perdana. The cascading process is believed important to ensure that the company’s vision, mission, and strategy are communicated clearly to all employees. The cascading process is regarded important to ensure that the company’s vision, goal, and strategy are communicated clearly to each employee. This cascading produced multiple objective strategies and KPIs for HRGA and Strategic Affair Division of PT GKP. As suggestions for future research, it would be preferable for the research to cascade to all levels within each division in the company.

Analysis Corporate Entrepreneurship in SOEs at Mining Sector with Private Companies as Comparative Study

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Competition between state-owned enterprises (SOEs) and private mining companies are getting bigger and stronger, but state-owned holding companies such as MIND ID have decreased performance due to several factors such as business focus and small business scale. This should be supported by the optimization of resources and the transformation of the competence of each employee to encourage the entrepreneurial spirit. This study was conducted to examine the corporate entrepreneurship culture in three state owned mining companies (PT. ABC, PT. DEF, and PT. GHI) and compared with private mining companies (PT. XYZ, PT. OPS, and PT. RTU). This study uses two methods, Entrepreneurial Orientation Survey (EOS) and Entrepreneurial Leadership Questionnaire (ELQ). EOS is used to measure corporate entrepreneurship culture and ELQ to see entrepreneurial characteristics in expected leadership and actual conditions of its implementation. EOS results show that the corporate entrepreneurship culture of mining SOEs has advantages in Cross-Functionality and Support to New Ideas while private mining companies have significantly higher Speed and Focus dimensions than mining SOEs. The ELQ results show that mining SOEs have the type of leadership in entrepreneurship (Miner type) and the leadership type of private mining companies in Explorer has a higher score than mining SOEs. Mining SOEs are advised to increase the dimensions of corporate entrepreneurship, one of which is by providing scholarships for employees taking magister program and creating a competition program that supports future innovation also the companies should provide training on corporate entrepreneurship.