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Data mining is a technique to dig up new information from a data warehouse, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as well as in trading businesses such as the Iblite Luxury store.  This store is located in Medan close to residents' houses, Sales transaction data will continue to grow, causing data storage to be even larger. Sales transaction data is only used as an archive without being properly utilized. Basically, a dataset has very useful information. Market basket analysis with a priori algorithm is one of the data mining methods that aims to find association patterns based on consumer shopping patterns, so that it can be known what items of goods are purchased in a At the same time, the results of this study found that the highest support and confidence values were Ysl and Chanel with a support value of 50% and confidence of 75%.

Coal is one of the energy sources that is the basis for meeting energy and electricity needs in various countries, including Indonesia. Coal obtained from mining contains impurities, which can occur during coalification or during the mining process. There are impurities elements found in coal such as sulfur, ash and various other minerals found in coal. The sampling location was carried out at the mining location at PT Bukit Baiduri Energi, Kutai Kartanegara Regency, East Kalimantan Province. The solutions used in the deashing process using the leaching method are NaOH and HCl.  

Mining is a crucial sector in the global economy, yet it faces high risks and serious potential hazards for workers. According to statistical data from the Ministry of Energy and Mineral Resources, the number of mining accidents in 2023 increased significantly compared to 2021 and previous years, totaling 217 incidents. Therefore, the effective implementation of occupational health and safety management systems (OHSMS) is necessary to protect worker safety and health. The purpose of this writing is to review the implementation of occupational health and safety management systems (OHSMS) in mining companies, covering policy establishment, K3 planning, K3 plan execution, K3 performance monitoring and evaluation, as well as review and enhancement of OHSMS performance. This review employs a Literature Study method, sourcing data and articles from Google Scholar, PubMed, and ScienceDirect. Based on the literature study, the analysis of Occupational Health and Safety Management System implementation reveals that, on average, mining companies have their own policies established. Regarding K3 planning, each company has its own K3 planning strategy. However, the execution of K3 plans shows varying levels of implementation across different companies. In terms of performance monitoring and evaluation, companies assess K3 performance using specific indicators and undertake necessary improvements. Finally, review and performance enhancement efforts are undertaken for continuous improvement.

Rock strength has an important role in the mining industry. These forces can determine many aspects of mining such as slope geometry, excavation, blasting, and drilling. Rock strength can include tensile strength, compressive strength, and shear strength. In this case, the test is carried out to determine the correlation of uniaxial compressive strength and indirect tensile strength. The method used to determine the correlation of compressive strength and indirect tensile strength is by linear regression approach, which will then be analyzed for accuracy through Root Mean Square Error (RMSE), and Mean Absolute Percentage error (MAPE). This study used quantitative and qualitative methods, starting from the coordinate data of rock sampling locations, physical properties and mechanical properties. In this study, there were 6 sampling locations located in 2 different areas, namely Loa Janan and Sanga-sanga. The secondary data used are regional geological maps and maps of the area where the study is located. Furthermore, secondary data is processed using Arcgis software for mapping, and using Microsoft Excel software to assist in calculations in determining the value of physical and mechanical properties of rocks. The results of the compressive and tensile strength tests in this study showed a perfect corelation using linear regression, namely UCS= 3.9582 σt - 0.4004, with a correlation coefficient (R) of 0.972 and a determination coefficient (R2) of 0.945. and obtained RMSE 0.033 and MAPE 5.89%.

Reclamation is an activity carried out throughout the stages of the mining business to organize, restore, and improve the quality of the environment and ecosystem so that it can function again according to its designation (Law No. 3 of 2020). In PT Wijaya Mandiri Energi's mining activities that have been completed, the required activity is to carry out reclamation. In planning reclamation activities, technical reclamation tools are needed. Therefore, in this study, calculations were carried out to determine the number of technical equipment requirements used in reclamation activities that will be carried out in pit 3 south. Based on observations of mining activities carried out in pit 3 south, data is obtained in the form of productivity values of digging-loading equipment, transport equipment and displacement equipment. In this research, the quantitative analysis method is used by calculating the value of the area, productivity and actual working hours so as to obtain the value of the need for digging tools, transport tools and displacement tools needed in reclamation activities to achieve optimal value. As for the research conducted with an area of 5.95Ha and a production target of 208,250 m3, with the productivity of Doosan 500LCV excavator equipment of 218.64 m3 / hour, dump truck of 58.84 m3 / hour and SEM 822D bulldozer of 351.64 m3 / hour, the number of excavator Doosan 500LCV digging and loading equipment is 2 units, Beiben 2642 dump truck of 8 units and SEM 822D bulldozer of 2 units.

Rotary drilling is one of the drilling methods that is often used for stripping overburden in open pit mining activities. In the rotary drilling process, prediction of the penetration rate is very important for scheduling production and estimating drilling costs. Drilling in mining activities is used, among other things, to create blast holes. In blasting activities, drilling is the first activity that must be carried out to provide a blast hole which will later be filled with explosives to be detonated. Meanwhile, the speed at which the blast hole is prepared is influenced by the speed of the drilling tool to penetrate the rock. Drilling speed is influenced by two factors, namely internal factors and external factors.      

Drilling is an essential operation in mining activities, particularly in borehole preparation for blasting purposes. The efficiency of blasting hole preparation depends significantly on the drilling speed to penetrate the rock formations.Drilling Rate Index (DRI) measures the ease or difficulty of drilling through rock formations. It combines two tests: Brittleness (S20) and SJ value. DRI serves as a common metric to predict drilling capabilities and is classified according to a table classification of drilling rate index.The classification of DRI values for sandstone and mudstone of Balikpapan Formation at PT. RCI Job Site ABK indicates a very high classification with DRI values ranging from 66 to 86. Testing results for samples SBP1 (DRI 75.9), SBP2 (DRI 81.7), SBL1 (DRI 66.6), and SBL2 (DRI 71.1) all fall within the very high classification range.    

PT. Garuda Utama Persada is a company that provides security and loss prevention services to clients in related fields, mining, offices, housing, airports, power plants, factories, hotels, restaurants, banks, hospitals, shopping centers, warehouses and high-rise buildings. The aim of this research is to analyze the influence of training and development programs on employee performance at PT. Garuda Utama Persada. The research was conducted for 3 months (April – June 2024). The data collection method was through interviews and questionnaires which were distributed to 105 respondents. The analysis method is quantitative statistics. Data analysis includes instrument quality tests consisting of validity and reliability tests, classical assumption tests, t tests and F tests. The results of this research show that the training program partially has a positive and significant effect on employee performance (t count 3.114 > t table 1.98350 and sig value 0.002 < 0.05). Partial development has a positive and significant effect on the performance of PT employees. Garuda Utama Persada (t count 3.992 > t table 1.98350 and 0.000 < 0.05). The implication of the results of this research is that providing good training and development programs will improve employee performance.

This study aims to investigate the influence of macro fundamental variables (such as inflation, interest rates, and exchange rates), micro fundamental variables (such as DER, DPR, DR), as well as capital structure variables, financial performance, and ownership structure as intervening variables on firm value in the mining sector on the Indonesia Stock Exchange. This study uses a quantitative approach with secondary data from the financial statements of mining companies listed on the Indonesia Stock Exchange for the period 2010 to 2019. Data collection is done by random sampling of these companies, and data analysis uses the SmartPls 4 application to test the relationship between the variables studied. The results of this study are expected to provide a deeper understanding of how macroeconomic and microeconomic fundamental factors, as well as capital structure, financial performance, and ownership structure, contribute to firm value in the context of the mining sector in Indonesia. The practical implications of this study are expected to provide guidance to stakeholders, including company management, investors, regulators, and academics, in optimizing investment strategies and decision-making in this highly potential sector. This research can also make a theoretical contribution in expanding the understanding of the factors that influence firm value in the mining sector

Special economic zones as a tool for regional economic development are important because they contribute to reducing disparities between regions and reducing poverty in a fair and consistent manner. In developing Special economic zones , it is important to carry out coordinated planning between sectors so that sustainable development is part of national development. This research focuses on the impact of special economic zone policies in Indonesia. The type of research is normative legal research, which includes documents that are used as references, especially basic legal documents, and secondary documents such as literature, books, scientific works, articles scientific, etc., where the analysis is carried out in more depth related to the problem of studying legal provisions. This document discusses Special Economic Zones in Indonesia and their policies. The Galang Batang SEZ was developed as an industrial center for the processing of mining minerals such as bauxite and its derivative products. The synergistic impacts of SEZs include: Increasing Gross Regional Domestic Product SEZs can increase economic activity in a region cumulatively, which contributes to increasing regional GDP and Infrastructure Development: SEZs are National Strategy Projects that are supported by the development of surrounding infrastructure.  

This research aims to analyze whether there is an influence of Macro Fundamental Analysis, Ownership Structure, Micro Fundamentals on Company Value with Profit Management, Financial Performance and Company Characteristics in Mining Sub Sector Companies Listed on the Indonesian Stock Exchange 2018-2023. The research used in the research is quantitative method research. The type of data used in this research is secondary data obtained from searching and reviewing annual reports of mining companies listed on the BEI (Indonesian Stock Exchange) for the period 2018 - 2023 via the official website www.idx.co.id, the company's official website, and use supporting journals related to this research. The samples used were 6 mining companies selected using a purposive sampling method, then processed or analyzed using the Smart-PLS version 4 application. The results of this research show that Micro Fundamentals have no significant effect on Company Characteristics, while Macro Fundamentals and Ownership Structure have a significant effect. on Company Characteristics. Micro Fundamentals and Ownership Structure do not have a significant influence on Financial Performance, while Macro Fundamentals have a significant influence on Financial Performance. Macro Fundamentals, Micro Fundamentals and Ownership Structure do not have a significant effect on Earnings Management. Macro Fundamentals, Micro Fundamentals, Company Characteristics, Financial Performance, Earnings Management and Ownership Structure do not have a significant effect on Company Value.      

Rock strength is the ability of a rock to maintain its strength until it breaks when a force is applied. Rock compressive strength is a very important parameter in the world of mining. The compressive strength of the rock determines the mining method that will be used. Several things that influence the compressive strength of rock include porosity, true specific gravity, and water content. With the same volume, if the porosity value is high, the true specific gravity value will be low because of the large number of pores in the rock. This allows the compressive strength value to be low because the rock will crumble more easily when pressure is applied. After testing, the highest compressive strength value was in the Pulaubalang Formation, location 2, with a value of 2.19 MPa. Meanwhile, the lowest compressive strength value was in the Kampungbaru Formation, location 1, with a value of 1.49 MPa. In accordance with the stratigraphic layers in the Kutai Basin, the Pulaubalang Formation is older than the Kampungbaru Formation.    

In the digital era, universities play an important role in developing policies and technology to ensure students' academic integrity. This research aims to explore and analyze holistically the contribution and effectiveness of universities in maintaining academic integrity in the digital era. The research method used is a literature review with a semi-systematic review approach, which is then expanded with bibliometric analysis using the VOSViewer tool. Of the 115 papers identified in the bibliometric analysis with the keyword “college plagiarism”, it was found that the term “plagiarism” was often associated with “student”, “college”, “academic”, and “plagiarism”. Key relevant terms include “training”, “locus of control”, “rabin-karp”, “text mining”, “hash”, “levenshtein distance algorithm”, “similarity”, and “publication”. Universities should conduct training and strengthen students' locus of control to instill integrity values. The concept of “similarity” in plagiarism detection helps maintain the originality of academic work, while “rabin-karp” and “text mining” technologies are used to recognize plagiarized text and find suspicious patterns. The “hash” concept and “Levenshtein distance algorithm” are important in maintaining academic integrity, and “publication” ensures research meets academic integrity standards. Universities leaders are responsible for preventing plagiarism by implementing code of ethics and promoting awareness and understanding within the entire academic community.

Research on forecasting new student admissions at SD Negeri 10 Koto Tinggi Surian employs data analysis using simple linear regression to predict the number of new students based on previous years and formulate it into a mathematical model. In its calculation process, this approach can adopt both quantitative and qualitative methods. The prediction error rate for the next year is very low. Out of 41 predicted students, only one differs from the actual number. The study's data spans student admissions from 2019 to 2023. The research findings demonstrate the effectiveness of conventional linear regression techniques. The prediction for 2023 indicates an intake of 42 students. Therefore, it can be concluded that simple linear regression accurately predicts new student admissions at SD Negeri 10 Koto Tinggi Surian with high accuracy.    

Challenges to the rights possessed by humans can cover various complex and various kinds, such as social, political, and economic. There are challenges such as freedom of opinion and the existence of the press, where even though freedom of the press has been recognized, there is still pressure and intimidation against journalism. Cases such as arrests and violence against journalists who cover this sensitive issue often occur. There are land conflicts between indigenous communities and large companies (especially in the plantation and mining sectors), which can often result in forced evictions. These laws can often be used to further suppress freedom of religion and speech, and have led to many people being imprisoned on charges of blasphemy. Many workers in the informal and formal sectors experience poor working conditions, including low wages, long hours, and a lack of occupational health and safety protection.

This research discusses the causes of the crime of transporting black stone in the jurisdiction of the Gorontalo Regional Police and efforts to overcome it. The method used in the research is empirical with qualitative descriptive data analysis which describes and describes data and field facts. Based on research results, Gorontalo is in 5th position in the province with the highest poverty; and The lack of public understanding and knowledge regarding mining, where the lack of public knowledge, influences the existence of illegal mining. This situation is based on a lack of education and understanding as the main factors in the community's decision to carry out illegal mining actions, including a lack of socialization and legal education to the community. The prevention of criminal acts of transporting black stone by the Gorontalo Regional Police is carried out through initial efforts made by the police, in this case the Gorontalo Regional Police, namely visiting or visiting the community and providing advice regarding mining activities. Apart from that, conduct patrols in mining areas for early handling, especially checking permits for heavy vehicles used in mining areas, including transport vehicles. Not only that, legal counseling and socialization is also carried out to the community as a first step in overcoming this criminal act; and Repressive Efforts by taking action against the perpetrators, in order to have a deterrent effect. This step is carried out through investigations, inquiries and other coercive measures authorized by law, which end with the application of criminal sanctions against the perpetrators.

This study aims to determine the adaptation strategies carried out by kja farmers in ex-mining ponds, to see the social conditions of kja farmers and to find out the problems faced by kja farmers. The research location was chosen in the ex-mining pond of Bangun Rejo Village, Tenggarong Seberang District. The type of research data used in this study uses primary data and secondary data. The sampling technique used in this study was purposive sampling. The data analysis used is qualitative descriptive analysis. The results showed that there are several adaptation strategies carried out by kja farmers in ex-mining ponds so that the business continues to be sustainable, namely, selecting the right fish species, collaborating with related parties, managing water quality, making independent feed and expanding marketing networks. The social conditions of kja farmers can be seen from the aspects of education, livelihoods and cooperation between networks. Problems faced by kja farmers include difficulties in obtaining activity permits, lack of support from the government, rising feed prices and irregular payment of results.

The determination of changes in the land surface is an event caused by changes in the volume of the rock layer below. and geological processes such as tectonic and volcanic activity, removal of material from the subsurface such as mining and natural causes such as the occurrence of holes in limestone. The purpose of this study is to determine the magnitude of land surface changes that occur in the Nias Island area caused by earthquakes. The data used in the processing stage with the DinSAR method in 2022 recording, with specifications of dual polarization VV + VH, beam mode IW (interferometric wide) and flight direction ascending. Sentinel 1 data used in this study are 4 pairs of scans, where each pair of scans consists of one scans being the master and another scans being the slave. The master image is the SAR image before the earthquake, while the slave image is after the earthquake. The magnitude of land surface changes that occurred on Nias Island, based on the 2022 earthquake, the largest uplift was the earthquake on December 30, 2022, with a range of values (1.012042) mm with an area of 72,641,981 Hectares. The largest subsidence occurred in the earthquake on December 30, 2022, with a range of values ranging from (-1.373125) mm to (-1.235427) mm with an area of 61347,891 Hectares.

Mining is a job that has many dangerous risks starting from digging (mining), searching, using, processing and distributing the excavated products (coal, geothermal, gas, minerals and oil). The negative impact of landscape modification and land clearing activities influence on the economy, social structure of society and ecology. Starting from the impact of ecological decarbonation such as decreasing soil fertility, decreasing water quality, landscape changes, pollution and decreasing air quality. Meanwhile, the social effects of mining are small, namely conflicts between owners and communities, shifts in patterns. thought, and the decline in public health. The health impacts of mining include exposure to ISPA and poor skin conditions. This research was made with the aim of determining the factors causing the risk of occupational hazards in mining. The source of this information is via "Google Scholar" with the year of publication from 2018-2023. This research uses Systematic Literature Review (SLR)    

Employment opportunities are of course of many types, in this subject matter will take the phenomenon of Sumberwringin Village, in which there are mining activities, this mining activity is certainly a positive impact on the local community, because many think that the emergence or existence of a mine in their area will tend to help their income, this factor is what causes the community to agree to the existence of the mine. The mine, which began its activities in 2015, began to show its prestige by being recognized by other regions, in accordance with the study used, namely the existence of this new work activity can foster and increase a sense of solidarity with others and a sense of caring, not only this factor, there is a common motivation between people, namely many people whose economies are below, which makes people have the same opinion and agree to the existence of mining activities..