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This study aims to formulate an engineering strategy for water quality management and pollution control in the Tiku Sub-watershed, North Musi Rawas Regency. The study used a descriptive approach by integrating selected technical data from a dissertation-based assessment with semi-structured interviews involving 20 key informants representing technical agencies, village and subdistrict governments, community leaders, artisanal and small-scale gold mining actors, farmers, and riverbank communities. The analysis focused on water quality status, water availability and demand, pollution sources, perceived impacts, implementation constraints, and priority interventions. The results showed that the Tiku Sub-watershed is under significant environmental pressure. The average pollution index was 6.65, indicating a moderately polluted status, while mercury, cadmium, phosphate, and ammonia were the dominant parameters of concern. Surface water availability remained relatively adequate at 45,842,699.79 m3/year, and the average Criticality Ratio was 0.266; however, the water pollution carrying capacity was poor. Interview results indicated that mercury use and processing waste from artisanal gold mining were the most urgent issue (35%), followed by land-cover change and riparian degradation. The recommended strategy combines mercury-free processing technology, alternative livelihood development, cross-sectoral supervision, riparian rehabilitation, and transparent water-quality monitoring. The findings imply that watershed engineering should integrate technical, institutional, and socio-economic interventions.

The governance of sand and gravel mining requires an integrated assessment of technical planning, occupational safety, environmental control, reclamation, and regulatory compliance. This study evaluated the governance of CV. Ria Bersaudara, a sand and gravel mining company located in Pasar Surulangun, Rawas Ulu District, Musi Rawas Utara Regency, using the Good Mining Practice framework. The study used a descriptive evaluative approach based on field observation, document review, indicative resource estimation, equipment productivity analysis, occupational safety and environmental risk assessment, and compliance mapping. The results show that the company has a basic legal foundation through an exploration mining permit covering 12.5 ha; however, several governance components require improvement. The indicative prospective area was approximately 2.50 ha, with an effective follow-up area of 1.80 ha and an estimated indicative resource of 21,600 m³ or 35,640 tons. Productivity analysis indicated that excavator capacity reached about 61 m³/hour, while one dump truck only transported about 10.3 m³/hour, creating a haulage bottleneck if the truck fleet is insufficient. Safety implementation was also not optimal, with personal protective equipment compliance estimated at only 55%. The study recommends validating permit documents, strengthening technical exploration data, improving drainage and sediment control, enforcing safety procedures, implementing progressive reclamation, and establishing daily operational records.

This study aims to analyze the impact of nickel mining activities on the religious life of the community in West Kabaena District, Bombana Regency. The research employed a qualitative method with a descriptive approach to obtain an in-depth understanding of the social and religious changes occurring within the community. Data were collected through interviews, observations, and documentation involving religious leaders, community leaders, youth representatives, and mining workers. The collected data were analyzed through data reduction, data display, and conclusion drawing. The findings indicate that nickel mining activities have not diminished the community’s understanding of environmental stewardship as a religious responsibility. However, increasing economic dependence on the mining sector has gradually reduced public concern for environmental preservation. In the religious sphere, mining activities have contributed positively by supporting the construction and improvement of worship facilities and religious programs. Nevertheless, work-related demands have reduced the participation of some community members in religious activities. Furthermore, mining activities have affected social solidarity within the community. Values such as brotherhood, mutual cooperation, and social care remain preserved, although changes in social interaction patterns and widening economic disparities have become increasingly apparent. The study concludes that nickel mining activities generate both positive and negative impacts on the religious life of the West Kabaena community. Therefore, balanced policies integrating economic development, environmental sustainability, and religious values are essential to promote sustainable community welfare and strengthen social harmony.

The growth of the nickel mining industry in Indonesia, particularly in Southeast Sulawesi Province, has made this sector one of the main contributors to the Regional Gross Domestic Product (RGDP). However, the development of supporting infrastructure—especially mining haulage roads—still faces various risks that could potentially cause project delays and disrupt operational efficiency. Therefore, a systematic risk identification process is necessary to ensure that project implementation proceeds in accordance with established time, cost, and quality targets. This study aims to identify and assess risks in mining infrastructure development projects using a stakeholder-based approach. This approach is employed to gain an understanding of the risks that arise from the perspectives of the parties involved in the project. The results of this study describe the dominant risks that could potentially occur in nickel mining projects, namely opposition from the local community surrounding the project, conflicts with community organizations, denial of access to project roads, and disruption of project security due to inadequate security measures by authorities. It is hoped that these dominant risks can serve as a basis for developing effective risk mitigation strategies to support the successful and sustainable development of mining infrastructure.

Artisanal and small-scale gold mining (ASGM) provides short-term income for rural communities but frequently creates environmental, safety, and governance problems when it operates outside formal control. This study aimed to analyze the existing condition of ASGM, identify the driving and inhibiting factors of its arrangement, describe the perceived impacts, and formulate strategic directions for ASGM arrangement in Karang Jaya District, North Musi Rawas Regency, Indonesia. A qualitative descriptive approach was applied using semi-structured interviews supported by secondary data on the study area, population, and agricultural land use. Twenty-two informants represented district officials, village officials, technical agencies, company representatives, community leaders, nearby residents, and ASGM actors. Data were analyzed through reduction, presentation, interpretation, and conclusion drawing. The findings show that ASGM development is driven by gold potential, mining history, household economic pressure, limited alternative employment, and weak field control. The main impacts include land degradation, open mining pits, landslide and occupational accident risks, and mercury-related water and soil contamination. The recommended strategy combines alternative livelihood development, skills training, local economic institutional strengthening, gradual area monitoring, land rehabilitation, and mercury-risk education.

The Free Nutritional Meal Program (MBG) is a government policy that is widely discussed by the public through social media, especially TikTok. Various comments that have emerged indicate differences in public opinion towards the program, so an analysis is needed to determine the tendency of public sentiment. This study aims to analyze TikTok user sentiment towards the Free Nutritional Meal Program using the Naive Bayes method. The research method is carried out through several steps, namely collecting TikTok comment data, preprocessing text, labeling sentiment data into positive, negative, and neutral, feature transformation using TF-IDF, and classification using the Naive Bayes algorithm. Based on the analysis of 500 comment data, the results show that positive sentiment dominates public opinion by 42% (210 data), followed by negative sentiment by 36% (180 data), and neutral sentiment by 22% (110 data). Testing the classification model using Naive Bayes produces excellent performance with an accuracy rate of 86%, precision of 84%, recall of 85%, and F1-score of 84%. The conclusion of this study shows that the Naive Bayes method is effective as an approach in social media sentiment analysis to map public responses to government policies.

Bangka Belitung Islands Province as the largest tin producer faces legality dilemmas and criminalization of artisanal miners due to permit centralization through Law Number 3 of 2020. This study aims to analyze the impact of centralization on artisanal miners' legal access, criminalization practices under Article 158 of the Mineral and Coal Law, and the form of Bangka Artisanal Miners Alliance (ATRB) struggle demanding legal certainty. The research employs qualitative case study approach with data collection techniques through literature study and document analysis of regulations, court decisions, and media reports. Findings show centralization narrows legal access causing slow and bureaucratic process for Artisanal Mining Area (WPR) designation and Artisanal Mining Permit (IPR) issuance. Criminalization practices more frequently affect small-scale miners major actors, creating injustice perceptions and worsening socio-economic conditions of mining households. ATRB emerges as a social movement demanding legal recognition through accelerated WPR and IPR plus economic redistribution through fair tin trade governance. Non-transparent royalty management reaching Rp1.7 trillion worsens community vulnerability. This research contributes to social movement and natural resource politics studies by emphasizing the importance of participatory legalization and governance reform to reduce social conflict.

Dredger operations in water-based mining areas have a high occupational risk because they involve a combination of wet environments, mechanical equipment, and electrical systems. The presence of electrical panels, power cables, terminal connections, electric motors, inverters/drives, and protection components on the Dredger requires a sound understanding of Occupational Health and Safety, particularly electrical safety. Water splashes, wet walking surfaces, high humidity, and improper procedures during inspection or cleaning may increase the risk of short circuits, protection trips, and electric shock. Therefore, structured basic safety training is required so that operators are able to identify electrical hazards and implement safe working procedures. This activity aimed to improve operators’ understanding of hazardous electrical components, initial safety briefing procedures, measurement practice and safe handling during trips or short-circuit indications, and the correct and safe use of water pumps for unit cleaning. The activity was carried out through field observation, technical briefing, direct demonstration on the electrical panel and work area, simple measurement practice, and safe cleaning practice. The results indicate that field documentation can serve as an effective learning medium to strengthen operators’ understanding of electrical hazard sources on the Dredger, the application of simple lock out-tag out procedures, the control of wet areas, and the limitation of water spray direction during cleaning activities. Overall, the activity shows that improved compliance with safety procedures may reduce the risk of short circuits and electric shock during operation and maintenance.

Nature tourism is one of the sectors that plays an important role in supporting the development of regional tourism, including in Lahat Regency, which has significant waterfall tourism potential. Currently, many visitors share their reviews and experiences through digital platforms such as Google Maps. This review can be used as a source of information to understand the public's evaluation of the quality of tourist attractions. This study aims to examine public perception of tourist attractions in Lahat Regency using the Support Vector Machine (SVM) method. Research data were collected through scraping from Google Maps, totaling 500 reviews from five tourist attractions, namely Curup Maung, Curup Buluh, Senyawe Waterfall, Panjang Waterfall, and Green Canyon. The research stages include data preprocessing, consisting of cleaning, case folding, normalization, tokenization, stopword removal, and stemming. After that, feature extraction was carried out using the TF-IDF method and the classification process using the SVM algorithm. Based on the research results, the Support Vector Machine (SVM) method is able to perform sentiment classification quite well, although the accuracy level varies for each tourist attraction. Curup Maung and Panjang Waterfall achieved the highest accuracy level of 90%. Nevertheless, most visitor reviews were dominated by negative sentiments. This indicates that there are still several aspects that need to be improved, particularly related to tourist facilities and services. This research is expected to serve as a consideration for tourism managers and local governments in efforts to improve management quality as well as the development of tourism in Lahat Regency.

PT. Bukit Baiduri Energi (BBE) is a coal mining company that utilizes hauling roads as the main infrastructure for material transportation. This study focuses on a 1.7 km road segment selected as the object of technical evaluation. The objective of this research is to analyze the effect of road geometry improvements on hauling time efficiency and equipment productivity. The method employed includes direct field measurements and calculations of operational parameters such as travel time, cycle time, and productivity. The results indicate that improvements in road grade reduced travel time from 10.13 minutes to 9.86 minutes. This reduction was followed by a decrease in cycle time from 16.29 minutes to 16.22 minutes. In addition, productivity increased from 65.4 bcm/hour to 66.69 bcm/hour. Also, improvements in curve radius and superelevation were implemented on the hauling road. These improvements resulted in a further decrease in travel time from 9.86 minutes to 8.6 minutes. Consequently, the cycle time also decreased from 16.22 minutes to 16.18 minutes. The productivity of hauling equipment increased from 66.69 bcm/hour to 67.02 bcm/hour. Overall, the evaluation of road geometry provided a positive contribution to operational performance. The productivity of overburden removal increased from 65.4 bcm/hour to 67.02 bcm/hour, representing an improvement of 2.48%.

 Education in vocational high schools (SMKs) requires effective data management to improve students’ academic achievement and discipline. At SMK Islam Secang, students’ academic scores and attendance data have so far functioned merely as administrative archives, making it difficult to identify patterns of student performance. This study aims to classify students based on academic achievement and discipline by applying the K-Means Clustering algorithm using RapidMiner. The data used in this study consist of scores from six subjects and attendance records of 35 students from the Light Vehicle Engineering (TKR) department over two semesters. The data were obtained from original school records, compiled using Microsoft Excel, and processed in RapidMiner. The clustering process employed four clusters for academic achievement and two clusters for discipline, with Euclidean Distance used as the similarity measure. The results show that in the first semester, students were grouped into four academic achievement clusters: high achievement (6 students), moderate achievement (7 students), potentially problematic (14 students), and problematic (8 students). In the second semester, the distribution changed to high achievement (19 students), moderate achievement (14 students), potentially problematic (4 students), and problematic (1 student). Meanwhile, student discipline was divided into two clusters: disciplined (31 students) and undisciplined (4 students). These results demonstrate that K-Means Clustering is effective in mapping student conditions, revealing patterns in academic performance and attendance, and supporting educational evaluation, learning planning, and early detection of students who require academic or disciplinary intervention. Keywords: Data Mining, K-Means Clustering, Academic Achievement, Discipline, RapidMiner, Vocational High School (SMK)

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

Gorontalo Province possesses significant mineral resource potential, particularly gold, silver, and copper, positioning the mining sector as a key driver of regional economic growth. However, a shortage of skilled local labor and the scarcity of vocational educational institutions in the mining field severely hamper human resource development in this sector. This study aims to design a Mining Polytechnic Campus in Gorontalo by applying sustainable architecture principles, encompassing energy efficiency, environmentally friendly materials, sound wastewater management, and user comfort. The research approach involves literature studies, field observations, interviews with relevant stakeholders, and quantitative data analysis regarding resource potential, the number of senior high school students, and educational space requirements. The design results emphasize site arrangement, building mass configuration, utility systems, and interior and exterior spaces that support academic, social, and community activities. The application of sustainable architecture principles is expected to create a campus that not only meets the needs of mining vocational education but also contributes to environmental conservation and sustainable regional development.

This article analyzes the recurring flash floods in North Konawe Regency which occurred in 2000, 2013, 2016, 2018, 2019, 2020, and 2021 as ecological disasters causally linked to three decades of natural resource exploitation through logging, oil palm plantations, and open-pit nickel mining. Using the dual framework of political ecology and environmental justice, this article argues that these disasters are not neutral natural events, but rather the product of a structured system of injustice: the indigenous Culambacu People and Tolaki People communities who were excluded from decision-making processes regarding extractive permits have borne the greatest burden of the destructive impacts of such exploitation. The most dramatic event was the 2019 flood that devastated Tapuwatu Village, causing losses amounting to Rp 674.8 billion and displacing 9,908 people. The findings demonstrate that the dominant government narrative framing the floods as “natural disasters caused by high rainfall” constitutes a strategic denial that obscures structural responsibility. Empirical data including rates of deforestation, exceeded river carrying capacity, and the chronology of concession expansion correlated with disaster escalation support the ecological disaster thesis. Persistent poverty amid abundant natural resource wealth confirms the condition of a “sacrifice zone,” characterized simultaneously by distributive, recognitional, and procedural injustices.

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At the research location at PT. Ansaf Inti Resource, there are several mining stages such as exploration. In the exploration itself, drilling and logging activities are carried out. However, if not careful in calculating coal resource estimates, there can be potential discrepancies between the estimated coal resources based on the results of drilling data identification and well logging data with the actual results. Exploration activities are activities that are often carried out by companies to determine reserves in an area. Without carrying out these activities, companies will have difficulty estimating the profits to be obtained. To obtain the data needed to carry out exploration activities such as calculating the quality and quantity of coal, it is necessary to carry out drilling such as the full coring method and also carry out logging activities to complete the data and also as comparative data from core drilling. Coal Resources are part of a coal deposit in the form of a certain quantity and have reasonable prospects that allow for economic consideration. Coal resources are divided according to the level of geological confidence into inferred, indicated, and measured categories. Therefore, in this study, the author will calculate coal resources from exploration data collection such as coring data, cutting data, and well logging data as well as coal quality data and process it in Minescape 5.7 software so that it can obtain an estimate of coal resources for each seam at the research location.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

This study analyzes the regulatory gaps in digital forensics regarding the handling of natural resource crimes and the state’s constitutional responsibilities following the enactment of Law No. 1 of 2024. Modern natural resource crimes, such as illegal logging and illegal mining, have evolved to leverage digital technology, leaving complex electronic traces in the form of GPS data and digital documents. However, Indonesia still faces procedural gaps in the Criminal Procedure Code (KUHAP), unclear technical standards (SNI 27037:2014 is voluntary in nature), and conflicts between the Information and Electronic Transactions Law (UU ITE) and sectoral NRE laws. This normative legal study employs legislative, conceptual, and case-based approaches. The research findings indicate that the absence of digital forensic authentication standards has fatal implications, as evidenced by the Sidoarjo District Court Decision No. 488/Pid.B/2024/PN Sda, which rejected electronic evidence. This situation constitutes state negligence (staatsverzuim) that violates Article 1(3) and Article 33(3) of the 1945 Constitution of the Republic of Indonesia. The study recommends the development of standard digital forensic procedures, the acceleration of ISO/IEC 17025 laboratory accreditation, and the harmonization of sectoral regulations

Blast hole drilling is an initial stage that plays a critical role in determining the success of blasting activities in mining and construction operations. Drilling quality directly affects rock fragmentation, drilling equipment efficiency, drilling equipment productivity, as well as blasting safety and costs. This study aims to analyze the influence of drilling parameters on blast hole quality, including hole diameter, drilling depth, hole inclination, and the suitability of drilling patterns with respect to the planned blasting design. The research methodology involves field observations, actual measurements of drill holes, and analysis of data obtained from drilling and blasting productivity. The results show that deviations in hole depth and direction can lead to irregular distribution of blasting energy, resulting in suboptimal rock fragmentation and an increased potential for flyrock and overbreak. In addition, the selection of appropriate drilling methods and equipment based on rock mass characteristics has been proven to improve productivity and blast hole quality. Therefore, controlling drilling parameters and implementing proper operational procedures are essential to enhance the overall effectiveness and productivity of blasting activities. This study is expected to serve as a reference for the planning and evaluation of blast hole drilling activities to achieve more efficient, safe, and economical operations.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.