Academic literature on the topic 'Monitor Gold Mining and Trading Company'

Abstract Sumatra, Indonesia, has a long and checkered history of mineral exploration and mining that dates back to prehistoric times. These activities have been dominated by gold, involving both the local population and mostly foreign companies. The first documented mining activity was the reopening of the ancient silver-rich Salida gold mine in West Sumatra in 1669 by the VOC (Vereenigde Oost-Indische Compagnie), a Dutch trading company that for two centuries monopolized trade between Europe and Asia. The government of the Netherlands East Indies initiated geologic investigations and mineral exploration in 1850, and private industry followed 30 years later. Between 1899 and 1940, 14 gold mines were developed, most of which were short-lived and uneconomic. Total production between 1899 and 1940 was 101 t Au and 1.2 Mt Ag. During the Japanese occupation, in its aftermath, and for the first 20 years of Indonesia’s independence, there was very little activity. In 1967, introduction of new foreign investment and mining laws by the New Order government heralded a new era of exploration and mining activity that continues to the present day. Since 1967, there have been several peaks in exploration activity, viz. 1969 to 1973 (porphyry copper), 1985 to 1990 (gold), 1995 to 1999 (gold), and 2006 to 2010 (multi-commodity). A variety of previously unknown mineralization types were discovered, including porphyry Cu, high-sulfidation Au, sediment-hosted Au, and sediment-hosted Pb-Zn. Activity during the modern area has included the reopening of one of the old Dutch mines, development of four new gold discoveries including the giant Martabe district (310 t Au), and exploitation of several small Fe skarn deposits known from the Dutch time. By world standards, to this day Sumatra remains underexplored.

Indonesia is facing many challenges in the fourth industrial revolution (4IR) era. One of them is related to big data technologies and implementation that can be seen clearly from Indonesia Industry Readiness Index (INI) 4.0. Therefore, focusing on implementing big data analytics in a gold, silver, and precious metal trading company is the objective of this manuscript to support daily business operations. To be more specific, the aim is to discover meaningful patterns and ensure high quality of knowledge discovery from the big data available in a company in Indonesia. It is needed to support the Making Indonesia 4.0 as a roadmap to implement industrial digitalization in Indonesia. The methodology used for the big data implementation in this manuscript is the combination of the CRISP-DM framework and key steps for customer analytics. The result of this research is a list of recommendations that facilitate strategic planning based on evidence of measurable big data analytics to achieve the business goals of a company.

Mining is an activity of extracting non-renewable natural resources, including coal, whose management cannot be separated from the company. In realizing mining activities, they must be managed optimally, so it is necessary to supervise and monitor their activities effectively and efficiently. North Minahasa Mining Toka Tindung is a gold mine that has been operating since 2009, with the first gold production in 2011, and has gold reserves of 122 tons at the end of 2020. Toka Tindung has a mining area of 8,986 hectares (400 thousand square km), or 1.3 percent of the planned contract of work which is 741,000 hectares. This research was conducted by monitoring mining land cover using remote sensing technology based on Landsat 8 satellite imagery. related to vegetation. NDVI has a range of values between -1 to +1, the results of the transformation have different percentages of land use. The greater or positive the NDVI value, the better the vegetation density in the area. This study aims to analyze changes in green land cover in the mining area of North Minahasa in 2013 to 2021 based on variations in the greenness of the vegetation index. The results of the study obtained that Variations in the greenery index of vegetation ranged from 0.0 - 0.4 in 2013 and -0.2 - 0.6 in 2021. Where the mining area environment in 2013 had a vegetation class in the form of rocks, vacant land, meadows, shrubs and dense forests and in 2021 had a vegetation class in the form of rocks, vacant land, grasslands, shrubs, dense forests and water. In 2021 it has a vegetation value of -0.2 whose vegetation class is water due to the loss of Ground Cover Vegetation due to digging too deep to form ponds. on the ground surface. Thus the level of vegetation density in the mining area of North Minahasa has changed from 2013 to 2021. The area without vegetation has generally increased. Replacing the green area and the area with vegetation cover, dense green land cover has decreased.

PT.Naga Emas Internasional merupakan perusahaan perdagangan hasil tambang dimana perusahaan ini masih menggunakan pencatatan transaksi serta banyak pula melakukan pencatatan laporan keuangan menggunakan cara manual dengan menggunakan sebuah buku untuk mencatat laporan keuangannya sehingga pencatatan laporan keuangan tersebut dikatakan belum sistematis dan menyulitkan para atasan untuk cek data secara berkala. Oleh karena itu diperlukannya sistem informasi E-Accountant berbasis web untuk membantu pencatatan transaksi dan laporan keuangan tersebut. Metode yang digunakan dalam merancang sistem ini adalah metode SDLC dengan pemodelan prototype. Tujuan dibuatnya aplikasi E-Accountant ini untuk mempermudah perusahaan untuk memproses transaksi keuangan, laporan keuangan, dan direktur bisa kapan dan dimana saja memantau arus keuangan perusahaan. Sistem informasi E-Accountant ini dapat membantu dan memudahkan untuk mengatur transaksi pemasukan, pengeluaran keuangan perusahaan. Dengan adanya aplikasi E-Accountant ini dapat mempermudah perusahaan untuk memproses laporan keuangan. Serta agar dapat memenuhi penyimpanan data akuntansi agar lebih efisien dan mudah di akses oleh para staf dan diketahui oleh pimpinan secara langsung dengan mengandalkan internet.Kata Kunci : Sistem Informasi, E-AccountantPT. Naga Emas Internasional is a mining product trading company where this company still uses transaction recording and many also record financial statements using a manual method by using a book to record financial reports so that the recording of financial statements is said to be not systematic and makes it difficult for superiors to check data. periodically. Therefore, a web-based E-Accountant information system is needed to assist in the recording of these transactions and financial reports. The method used in designing this system is the SDLC method with prototype modeling. The purpose of making this E-Accountant application is to make it easier for companies to process financial transactions, financial reports, and directors can monitor the company's financial flows anytime and anywhere. This E-Accountant information system can help and make it easier to manage income transactions, company financial expenses. The E-Accountant application can make it easier for companies to process financial reports. And in order to fulfill accounting data storage to be more efficient and easy to access by staff and known by the leadership directly by relying on the internet.Keywords: Information System, E-Accountant

Context The Environment, Social, and Governance [ESGÓ]-platform offered by BloombergÔ Professional Services [https://www.bloomberg.com/professional/] is a leading source of relevant, reliable, and timely information on the context within which market trading firms operate. The ESG-platform of the Bloomberg Terminals [BBT] includes more than 2,000 data fields that provide intel to aid in better understanding the “Stakeholder-impact” of the firm’s activities. One of the sub-platforms therein is the Institutional Shareholder Services [ISS] which offers Governance QualityScores: (GQSÔ). The BBT[ISS[GQS]]-platform is a data-driven approach to scoring & screening designed to help investors monitor a company’s control of governance risk. Previous studies have provided vetting information of the BBT[ISS[GQS]]-platform. As an enhancement to these vetting-studies, we offer the following. Study Design In the ESG-Platform, there are Disclosure Scores for: The General [ESG], Environment, Social & Governance categories. The vetting question of interest is: Does the ISS score those firms that provide more Disclosure information as ISS[1] and those firms that provide less as ISS[10]? If so, this would cast doubt on the relevance and reliability of the ISS-assignment taxonomy. Results We discuss the critical role of vetting. Then, the Dul: Necessity & Sufficiency Screen is offered as the organizing logic of the Inferential vetting platform. Finally, using the Gold Standard test: Linear Discriminant Analysis for the vetting inference, it is clear that the ISS-assignment is not aligned with the degree of provision of disclosure information for any of the four ESG-Disclosure Score variables. Thus, these vetting results are not inconsistent with a functioning taxonomic-allocation platform. 

A crystal ball methodology that foresees the future is probably one of the most sought-after tools by any organization operating in this ever-changing world. The ability to correctly navigate through uncertainties and drastic changes in the external environment is found to be limited when an inward perspective of the company is utilized. The measurement of performance indicator and the mining of usable information in a sea of big data, among other approaches, may provide limited results in guiding the company towards choosing effective strategic decisions that will sustain the company in the future. This chapter is an effort to pursue an alternative perspective in planning by using Scenario Planning, a group thinking process that encourages knowledge exchange and development of mutual deeper understanding of central issues important to the future of an organization. Applying Scenario Planning framework, a structured approach is elaborated to describe a replicable methodology for sensing critical uncertainties in the external environment. These uncertainties are then utilized as the foundations for creating scenarios, which are attempts at vivid visualizations of how the future may look like. In this research, the effectiveness of the methodology has been demonstrated on the supply chain of Clariant, a Specialty Chemicals Company headquartered in Switzerland, by developing three scenarios that are sample representations of a whole range of plausible futures. These scenarios are differentiated by combinations of high and low conditions of the three critical uncertainties identified: (1) Emergence of trading blocks, (2) Changing consumer needs/behavior, and (3) Changes in logistics infrastructure. These critical uncertainties are also used to further design a new breed of indicators that are used as ground-sensors to monitor which direction the future is heading to. In addition, Scenario Planning also provides a fertile platform on which organizational learning can organically grow. The steps used in the methodology forces users of the scenarios to challenge existing mental models resulting to a wider perspective and appreciation of the dynamics that surround and impact an organization in the future.

A crystal ball methodology that foresees the future is probably one of the most sought-after tools by any organization operating in this ever-changing world. The ability to correctly navigate through uncertainties and drastic changes in the external environment is found to be limited when an inward perspective of the company is utilized. The measurement of performance indicator and the mining of usable information in a sea of big data, among other approaches, may provide limited results in guiding the company towards choosing effective strategic decisions that will sustain the company in the future. This chapter is an effort to pursue an alternative perspective in planning by using Scenario Planning, a group thinking process that encourages knowledge exchange and development of mutual deeper understanding of central issues important to the future of an organization. Applying Scenario Planning framework, a structured approach is elaborated to describe a replicable methodology for sensing critical uncertainties in the external environment. These uncertainties are then utilized as the foundations for creating scenarios, which are attempts at vivid visualizations of how the future may look like. In this research, the effectiveness of the methodology has been demonstrated on the supply chain of Clariant, a Specialty Chemicals Company headquartered in Switzerland, by developing three scenarios that are sample representations of a whole range of plausible futures. These scenarios are differentiated by combinations of high and low conditions of the three critical uncertainties identified: (1) Emergence of trading blocks, (2) Changing consumer needs/behavior, and (3) Changes in logistics infrastructure. These critical uncertainties are also used to further design a new breed of indicators that are used as ground-sensors to monitor which direction the future is heading to. In addition, Scenario Planning also provides a fertile platform on which organizational learning can organically grow. The steps used in the methodology forces users of the scenarios to challenge existing mental models resulting to a wider perspective and appreciation of the dynamics that surround and impact an organization in the future.