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This article examines the synergy between Islamic theological values and local wisdom as a basis for resistance to environmental exploitation in Mandailing Natal. The focus of the study lies on the application of faith principles, such as the concepts of khalifah, justice, and ihsan, and their implementation through the traditional practice of lubuk larangan. The literature study method was used to collect and analyze secondary data from scientific articles, journals, and national and local news sources. The results of the study show that these Islamic theological values have been deeply rooted in the culture of the Mandailing Natal community, encouraging a critical attitude towards illegal gold mining practices that damage the ecosystem. The lubuk larangan tradition also acts as a mechanism for social control and environmental conservation, by implementing periodic restrictions on extractive activities to provide space for natural regeneration. The findings indicate that the integration of Islamic theology and local wisdom results in a more integrated and ethical natural resource management paradigm. This research recommends strengthening the synergy of faith values and local traditions in the formulation of public policies and increasing community participation in environmental monitoring. This integrative approach can be used as a strategic model to overcome the challenges of environmental exploitation amid increasingly complex global dynamics.

The online gaming industry continues to grow rapidly in Indonesia, with many users purchasing digital items through 3rd party top up services such as Pitopup.com. One of the main challenges faced by Pitopup.com is the difficulty in classifying the sales of each available game item. This research aims to apply the K-Nearest Neighbor (KNN) method to predict the sales classification of game items in order to find out the sales category for each game item and hopefully help increase stock efficiency. The dataset used was obtained from historical sales data on Pitopup.com from June to September 2024. The research stages include data processing, normalization using Min-Max Scaling, data transformation using label encoding, separating test and training data using a ratio of 80:20, and using confusion matrix as a model evaluation. The test results show that KNN algorithm is able to classify game item sales on the Pitopup.com website with a level of accuracy in several categories: marketable category at 100%, the moderately sellable category at 100% and the not sellable category at 100%.

The purpose of this study is to determine partially or simultaneously with the variable profitability (which is proxied by ROE), investment decisions (which are proxied by PER), and funding decisions (which are proxied by DER) on firm value (which is proxied by PBV). The population in this study are mining companies in the oil and gas sub-sector which are listed on the Indonesia Stock Exchange for the 2017-2021 period either partially or simultaneously. The sampling technique uses saturated sampling method. From this method, all companies became the research sample during the five-year observation period. The total sample is 11 companies. The analytical method in this test uses multiple regression analysis using the SPSS version 25 test tool. The results show that partially profitability (which is proxied by ROE) has no effect on firm value (which is proxied by PBV, investment decisions (which are proxied by PER) has partially affected on firm value (which is proxied by PBV), and funding decisions (which are proxied by DER) partially have no effect on firm value (which is proxied by PBV), Profitability (which is proxied by ROE), investment decisions (which are proxied by PER), and funding decisions (which are proxied by DER) simultaneously affect firm value (which is proxied by PBV). The Fcount value is greater than the Ftable value (7.338>2.00758) with a significant value of 0.000 which means less than 0.05.

Mining with an open pit system is carried out by excavating and removing the overburden to obtain coal. However, before mining, it is important to obtain geotechnical data information. As well as the lithology of the rocks below the surface, it is necessary to carry out geotechnical drilling (full coring). This study can determine the value of slope geometry safety factors and plan safe slope geometry, both individual slopes and overall slopes. Therefore, this was done to determine the influence of GSI geotechnical parameters on the value of static and dynamic slope safety factors. The method used in determining the safety factor and the probability of an avalanche is the Morgenstern-Price boundary equilibrium method with the Generalized Hoek-Brown collapse criterion in static and dynamic slope conditions. The input parameters used in the analysis were natural density, compressive strength value (UCS), geological srength index (GSI), disturbance factor (D), intact rock constant (mi), as well as seismic load factor, and groundwater level. The optimal geometry on the Highwall slope is the configuration of the Highwall slope with a height of 74 m and an angle of 23°, supported by a single slope of 5-10 meters, a berm of 7 meters with an angle of 40°. Seam D Claystone lithology with GSI 50, Siltstone with GSI 70, Sandstone with GSI 70, and Seam E Claystone lithology with GSI 50, Siltstone with GSI 40, Sandstone with GSI 75.Can be applied within a safe limit where FK Static 1.7 PK Static 0% and FK Dynamic 1.4 PK Dynamic 6%.

This study aims to analyze the financial performance of PT. Adaro Energy Tbk for the period 2021-2023 using the Index Time Series method. PT. Adaro Energy Tbk is an integrated energy company that focuses on coal mining. The data analyzed comes from the company's financial statements published on the Indonesia Stock Exchange. The research method is quantitative non-statistical with a purposive sampling technique to determine the sample. Data analysis techniques include Time Series calculations by looking at the financial performance values of the Liquidity, Solvency, and Profitability Ratios. The results of the analysis show that the financial performance of PT. Adaro Energy Tbk In the period 2021-2023, the company's Current Ratio increased from 2.08% in 2021 to 2.17% in 2022, before decreasing slightly to 2.01% in 2023. Despite the decline, the company still has sufficient liquidity. Debt to Equity Ratio dropped significantly from 83.47% in 2021 to 41.33% in 2023, signaling the end of management in reducing debt. Profitability through Net Profit Margin (NPM) increased from 23.27% in 2021 to 30.75% in 2022, but decreased to 25.22% in 2023. The results of this study provide stakeholders with insight into the dynamics of the company's financial performance, as well as provide a good foundation for making financial decisions in the future.

The purpose of this study is to find out which sectors are the leading sectors in North Kalimantan Province in 2017 – 2021, What economic sectors have fast growth rates in shifting economic sectors in North Kalimantan Province in 2017 – 2021, Which economic sectors have the power strong competitiveness in shifting economic sectors in North Kalimantan Province in 2017 - 2021. What economic sectors are included in the criteria as prime, potential, developing and underdeveloped sectors in North Kalimantan Province in 2017 - 2021. Quantitative analysis methods used in processing this data is Location quotient (LQ), Shift Share, Growth Ratio Model (MRP) and Overlay Analysis processed using Microsoft Office Excel. The results of the study show that the economic sectors which are categorized as basic sectors in North Kalimantan Province in 2017 – 2021 are the Agriculture, Forestry and Fisheries sectors; Mining and excavation; Construction; Transportation and Warehousing; Administration of Government, Defense and mandatory social security; Education Services.

PT Ansaf Inti Resources is a company engaged in coal mining using the open pit method. In the process of mining in open pit mines, haul roads are indispensable in the process of transporting overburden and play an important role in the mining production cycle. The purpose of the study is to determine the total resistance to overburden production of the LGMG CMT96 conveyance based on the haul road segment that has been determined from the overburden loading point to the disposal of the material, then a calculation is made based on the standard number of good total resistance to the actual haul road. After calculating all segments of the haul road, the results of plotting the total obstacle graph against the speed, travel time, and production of the haul. So every 1% increase in total resistance will reduce the speed of the conveyance 1.346 km / h, while every 1% increase in total resistance will reduce the travel time of the conveyance 0.0464 minutes. The production results of the CMT96 conveyance before the improvement of the total obstacle to the road surface amounted to 55 lcm and 49 lcm, while after the improvement of the total obstacle to the road surface there was an increase in the production of the conveyance of 68 lcm and 62 lcm. So every 1% increase in total resistance will reduce the production of conveyance by 4.7429 lcm.

Food allergies are medical conditions caused by particular immunological reactions brought on by exposure to certain foods. All age groups can experience food allergies, albeit the prevalence varies between children and adults, with children experiencing this condition more frequently than adults. Find food ingredients or substances that can trigger allergies, often known as allergens. This project attempts to determine whether or not the food includes allergies by applying the SVM data mining method to a public dataset of food goods and allergens that was acquired via Kaggle. High accuracy, effective memory use, and the ability to handle non-normally distributed data are some of the benefits of the SVM method. Data collection is the first step in the research process. Data pre-processing, which includes data transformation, handling missing values, and copy objects, comes next. Validation comes next. Split validation with 90% training data and 10% testing data, 10-fold cross validation, and split validation with an 80%–20% ratio were all compared in this study. The SVM method is applied after the dataset has passed validation, and the confusion matrix is used for the last evaluation step. SVM has an accuracy rate of 97.24% when using 10-fold cross validation, according to the accuracy value produced by the validation process comparison. Split validation yields an accuracy value of 97.50% when the ratio of training data to testing data is 90% to 10%. In contrast, an accuracy rate of 98.75% was achieved by using split validation with a ratio of 80% and 20%.

This study analyzes the effect of profitability ratios (Return On Assets/ROA, Return On Equity/ROE) and leverage ratio (Debt to Equity Ratio/DER) on stock prices of mining companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The study is motivated by stock market uncertainty influenced by companies’ financial performance. This research employs a quantitative approach with a sample of 14 companies selected through purposive sampling. Secondary data were analyzed using regression to examine the relationship between these variables and stock prices. The results show that, partially, ROA, ROE, and DER have no significant effect on stock prices. However, simultaneously, these variables influence stock prices. These findings suggest that companies should improve asset and equity management efficiency to enhance sustainable profitability. Additionally, companies must optimize capital structure to maintain leverage at an ideal level and minimize financial risk. Future research is recommended to expand the sample, extend the analysis period, and consider macroeconomic factors, market sentiment, and government policies that may affect stock prices.

This study aims to design and develop a web-based stock and sales transaction management system that can help admins manage accounts, stock, transactions, and sales analysis using the Apriori algorithm. This system is designed with main features such as automatic transaction recording, real-time stock monitoring, and customer purchasing pattern analysis reports. The methods used in this study include needs analysis, system design, implementation, and testing using the black box testing method. The test results show that the system runs according to the design and can increase efficiency in managing sales data. However, there are several limitations such as the need for periodic database maintenance and limitations in raw material management. With this system, it is expected that the process of recording transactions and sales analysis can be carried out faster and more accurately, thus helping in making business decisions.

The management of mining waste is a crucial aspect in maintaining the balance between the exploitation of natural resources and environmental protection. PT Aneka Tambang Tbk (Antam), as a mining company, strives to implement sustainable waste management policies to support the concept of Green Business in Indonesia. This study aims to analyze the role of national and international regulations in mining waste management and the implementation of these policies by Antam based on its 2020-2023 sustainability report. Using a normative juridical approach, this research finds that although regulations governing waste management are in place, challenges remain in their implementation, including harmonization with international standards and the effectiveness of supervision mechanisms. Therefore, strengthening regulations and enhancing transparency in waste reporting and management are necessary to ensure that the mining industry aligns with sustainability principles.

The rapid development of information and communication technology has driven the need for information services that are more relevant and adaptive to user behaviour. This research aims to integrate data analytics in the study of user behaviour to support the development of effective information services. The dataset used is Kaggle's Online Retail Dataset, which includes sales transaction data of online retail companies in the UK from December 2010 to December 2011. The analysis was conducted through customer segmentation using K-Means Clustering algorithm and predictive analysis with Association Rule Mining. The segmentation results successfully grouped customers into four main clusters, namely loyal customers, potential customers, passive customers, and low-spending customers. Model evaluation showed optimal performance with an accuracy rate of 85%, precision of 82%, recall of 78%, and F1-Score of 80%, and Silhouette Score of 0.62, indicating effective customer segmentation. The findings prove that the application of data analytics can provide deep insights into customer behaviour and support the development of more personalised and adaptive information services. This research is expected to be a reference in designing data-driven information service development strategies in various sectors.

The purpose of this study is to examine the effect of green accounting, operational efficiency, and marketing effectiveness on financial performance in mining companies listed on the Indonesia Stock Exchange (IDX) in 2021-2023. This study uses a quantitative method based on annual financial report data and annual reports for 3 years (2021-2023) from Mining Companies listed on the Indonesia Stock Exchange (IDX). The research sample includes 83 companies with a total of 249 observation data for (3) periods. Data analysis was carried out using Eviews 12 software with the Multiple Regression Analysis method based on panel data with the Common Effect Model (CEM) method. The results of the study show that Green Accounting has a positive and significant effect on financial performance. Conversely, Operational Efficiency does not have a significant effect on financial performance, while Marketing Effectiveness has a positive and significant effect on financial performance.

Water is one of the things that is very influential in the mining process, mining water is water that is at the location and/or comes from the process of mining activities, both mining and processing, including runoff water in the mining area. Surface runoff water is rainwater that overflows into mining areas and is not a result of mining activities. The open pit mining method will cause the formation of a large basin so that it has the potential to become a water storage area, both from surface runoff and groundwater. During extreme weather conditions with high rainfall, water from surface runoff can inundate the ground floor and cause the mining front to become muddy, which can hamper mining activities. Handling waterlogging in mining forts requires good pumping performance, as well as re-planning the mine drainage system for the mine progress area. So that mining activities run smoothly and the mining front is free from puddles of water after rain, the drainage system must be well designed. Based on research that has been carried out, the total area of ​​the Catchment Area is 52.14 Ha with a runoff discharge of 82,567.79 m³/month. The planned discharge using the MF-290 Pump with RPM 1600 is, 290.00 m³/hour or 123,540.00 m³/month. After comparing the MF-290, MF-385 and DND-200 pumps, the MF-290 pump was selected for use. This is because the fuel consumption of the MF-290 is smaller so it saves costs and it is also deemed sufficient to use the MF-290 pump. Pump Ratio on the MF-290 pump April 6.71. May 3.93, June 6.44, July 6.36 and August 8.83, which means the pump is safe to use because the ratio is >1.    

Tanjung Pinang City, with its natural resource potential in the form of bauxite ore, has experienced problems related to illegal mining activities (PETI) involving CV. Tri Karya Abadi. This case began with a report by PT Kemayan Bintan regarding theft and land grabbing in 2009. Investigations showed that CV. Tri Karya Abadi, despite having a limited permit, carried out exploitation outside the permitted area, utilizing heavy equipment and manipulative methods to obtain maximum profit. These activities resulted in the export of large amounts of bauxite to foreign countries. The investigation by the Criminal Investigation Unit of the Tanjung Pinang Police faced procedural obstacles, but succeeded in determining the main suspect and documenting the violations through the Investigation Report (BAP). In its resolution, this case dragged various parties with the application of sanctions based on Law No. 4 of 2009. An important lesson from this case is the need for synergy between the community, the police, and related agencies to prevent and take firm action against illegal mining activities. Consistent law enforcement with a multi-door system approach is key to protecting the environment and ensuring legal compliance.

Enforcement of Law Number 23 of 2014 concerning Government Area change significantly the governance of the energy and mineral resources (ESDM) sector, including mineral and coal mining (minerba). With this regulation, the authority to manage minerba mining is transferred from the district/city government to the central and provincial governments, thus giving rise to various legal implications. Disharmony between Law Number 23 of 2014 and Law Number 4 of 2009 concerning Mineral and Coal Mining shows inconsistencies in the division of authority. This study examines the legal politics which underlies the management of mineral and coal mining in Indonesia, the impact of regulations on regional institutions, as well as importance harmonization regulation to prevent overlapping policies. This study also highlights the importance of implementing the principle of lex specialis derogat legi generali to resolve conflicts of legal norms. The findings indicate the need for revision of related legal products to improve the efficiency and effectiveness of natural resource governance in order to achieve the goal of equitable public welfare.  

This study aims to measure the level of participant satisfaction with learning services at LKP Multi Talenta Komputer Purwokerto. Participant satisfaction is an important indicator in assessing the effectiveness of the learning curriculum implemented. Factors such as facilities, services, and obstacles in learning become the main benchmark. Data from 54 respondents were processed using K-Means Clustering algorithm to identify the most superior and weak factors. The results of this study provide recommendations for future service improvements, in order to increase participant loyalty and learning effectiveness.

Development is a planned process carried out by the government or related institutions to encourage changes that contribute to improving people's welfare. In this case, development is seen as a systematic effort to achieve people's welfare, where the government plays a strategic role in driving the wheels of development, especially in supporting economic growth. Economic growth can be driven through infrastructure development, such as roads, electricity, and mining, because all three play an important role in supporting economic and social activities. This study aims to analyze the effect of road infrastructure, electricity infrastructure, and mining infrastructure on economic growth in Central Sulawesi Province. This study was conducted in Central Sulawesi Province using a quantitative method based on secondary data. The data analysis technique used is multiple linear regression. The results of the study show that simultaneously, road infrastructure, electricity infrastructure, and mining infrastructure have an effect on economic growth in Central Sulawesi Province. However, partially, only electricity infrastructure has been shown to have a significant effect on economic growth, while road and mining infrastructure do not show a significant effect. However, the government needs to review the strategy for developing and maintaining road and mining infrastructure. Factors such as the low quality and quantity of roads and the lack of development of downstream industries for nickel processing can be obstacles that hinder the effectiveness of this infrastructure in supporting economic growth. On the other hand, increasing electricity capacity and distribution remains a priority to support the development of the industrial sector and small businesses in the region.

Sustainable use of ex-mining land is an important aspect of sustainable development. By teaching students about reusing mined land, we can help develop a generation that cares more about the environment. The aim of this research is to explore the potential for using ex-coal mining land to increase the economic income of local communities and also for learning for students at SMA Negeri 1 Loa Janan. The type of research used is descriptive qualitative, data analysis techniques are data collection, data reduction, and data conclusion. The research results show that ex-coal mining land can help increase the economic income of local communities and can be an effective teaching material in PKN learning. Utilizing ex-coal mining land for economic activities has great potential to increase the income of local communities. This research proves that the use of ex-coal mining land as enrichment material for PKN teaching materials is effective in increasing understanding of PKN teaching materials for students at SMA Negeri 1 Loa Janan.

Mining roads are one of the most important facilities that greatly affect the smoothness of production and affect mining costs. Therefore, the construction of mining roads must be carried out carefully to meet technical and work safety standards. Road conditions, distance, road slope and road carrying capacity will greatly affect the production capacity of heavy equipment, especially the production capacity of transport equipment. The location of this research is at PT. Energi Cahaya Industritama, precisely in Palaran sub-district, Samarinda city, East Kalimantan province. After observations were made at the research location, it was found that the geometric conditions of the road did not comply with the standards based on the overburden transport equipment or the largest transport equipment, for example, the width of the road on bends and the slope of the road. After conducting the research, the results of the data from the geometry of the access road were obtained, namely, the actual condition of the geometry of the access road on the straight road width is divided into 6 segments with a width of 13.3 meters, 14.3 meters, 14.5 meters, 13.2 meters, 15 meters, 15.7 meters. Meanwhile, the width of the bend road is also divided into 2 segments with a width of 15.9 meters and 15.5 meters respectively. And on the slope of the road there are 2 segments with values ​​of 11.1% and 14.8% respectively. Based on the results of the simulation software, the productivity of the transport equipment was obtained at 92.42 BCM/hour, which shows that productivity has increased by 12.23 BCM/hour from the actual productivity value of 80.109 BCM/hour. It has an average cycle time of 10.33 minutes, which shows a reduction in time or 6.01 minutes faster than the actual average cycle time of 16.34 minutes.