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Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.

The exploitation of natural resources in coastal areas and small islands in Indonesia shows the strong influence of the ideology of extractive capitalism. This ideology often causes ecological conflicts. For example, in the case of the rejection of gold mining that occurred on Sangihe Island, North Sulawesi. This article examines the contemporary Indonesian novel Perempuan yang Tunggu di Lorong Menuju Laut by Dian Purnomo in representing this problem. This study is a qualitative study with an interdisciplinary approach. The main theoretical framework used is ecocriticism (Glotfelty & Buell), extractive capitalism (Gudynas, Harvey, and Bebbington), and the concept of slow violence (Nixon) with a close reading method of the text. The results of the study show that the novel represents: the ideology of anthropocentric-extractive capitalism that reduces Sangihe Island to an economic commodity; dismantles the mechanism of power that conquers law and politics through the practice of elite and ruler collusion; displays the ecocentric resistance of the Sangihe community based on ancestral wisdom and spirituality. In conclusion, this novel voices an ideological critique of the hegemony of anthropocentrism and extractive capitalism and calls for a just and sustainable ecological awareness. Given the novel's limited data, further studies could consider exploring other research subjects or developing a theory of this research subject.

This study investigates the effect of Corporate Social Responsibility (CSR) disclosure and political connection on corporate tax avoidance among mining companies listed on the Indonesia Stock Exchange (IDX) during the period 2020–2024. As CSR practices increasingly shape stakeholder expectations, questions arise as to whether such disclosures genuinely reflect ethical corporate behavior or are strategically employed to legitimize tax planning. In addition to CSR disclosure, political connection is examined as an external institutional factor that may influence firms’ tax behavior by reducing regulatory scrutiny and enforcement risk. CSR disclosure is measured using the Global Reporting Initiative (GRI) index, while tax avoidance is proxied by the Effective Tax Rate (ETR). Additionally, political connection is identified based on the presence of politically affiliated individuals in the firms’ board list. This study adopts a quantitative approach employing panel data linear regression analysis. The research population consists of mining companies consistently listed on the IDX during the observation period, with samples selected through purposive sampling, having 41 mining companies in total. This study aiming to contribute to academic discourse and practical implications for policymakers, investors, and regulators. The findings found that there are no significant effect between CSR disclosure and political connection on tax avoidance. The results of this study concluded that there are many factors both from internal and external that could affect tax avoidance activity in Indonesia’s mining companies yet was not covered in this study.

This study examines the environmental advocacy strategies carried out by WALHI Jambi in addressing the pollution of the Batanghari River caused by illegal gold mining activities. This issue reflects ongoing environmental degradation and weak policy enforcement in managing natural resources. The study aims to analyze advocacy practices in terms of raising public awareness, community organizing, and influencing policy. A qualitative approach with a case study method was employed, with data collected through in-depth interviews, observation, and document analysis. The findings show that WALHI Jambi has undertaken various advocacy efforts, including media campaigns, public actions, community assistance, and engagement in policy forums. However, these efforts remain not fully optimal. Public awareness initiatives are still limited to information dissemination, community organizing has not yet developed into a strong collective movement, and policy influence is constrained by the absence of systematic instruments such as formal documentation, litigation, and structured coalitions. This study contributes to the understanding of environmental advocacy practices and highlights the need for strengthening advocacy strategies to achieve more effective policy influence and sustainable environmental governance.

The coffee shop industry in Indonesia is experiencing rapid growth that requires business owners to optimize data-driven strategies. This study aims to analyze customer preferences at Semanis Coffee and Resto using data mining methods  to support more effective business decision-making. The method used is Market Basket Analysis with the FP-Growth algorithm for association rule mining and the K-Means algorithm for customer segmentation. The research data consists of 672 sales transactions during the March-May 2025 period. The results of the association analysis with a minimum support of 0.004 and a minimum confidence of 0.2 resulted in five valid rules with a lift ratio above 1. The strongest rule is the combination of Americano→Milk Choco with a confidence of 42.9% and an elevator ratio of 5.229, indicating a strong linkage between products. The most popular products are Milk Choco (10.8%) and Americano (8.5%). Customer segmentation analysis identified three clusters: Cluster 0 (Loyal Customers) 80% with high frequency but low transaction value; Cluster 1 (Occasional Customers) 10% with low activity; and Cluster 2 (Large Buyers) 10% with high transaction value but low frequency. This study concludes that product bundling strategies, loyalty programs, reactivation campaigns, and premium services can be applied to increase the effectiveness of coffee shop businesses.

The evaluation of haul road geometry at PT Trubaindo Coal Mining was conducted to ensure that the haul road from the stockroom to the jetty meets applicable technical standards, thereby supporting the smoothness, safety, and efficiency of coal transportation activities. This study aims to analyze the conformity of haul road geometric parameters, including straight road width, curve width, curve radius, cross slope, longitudinal grade, and superelevation, based on the standards of AASHTO 7th Edition and Kepmen 1827 of 2018. The research method employed field measurements using a Terrestrial Laser Scanner (TLS), followed by data processing using Maptek and Surpac software. The obtained data were then compared with the applicable standards to determine the level of conformity of the haul road geometry. Based on field measurements, the average values obtained were 14.99 m for straight road width, 18.45 m for curve width, 0.22 m for cross slope, 6.97% for grade, 223.51 m for curve radius, and 1.40 m for superelevation. Furthermore, based on calculations and analysis referring to AASHTO 7th Edition and Kepmen 1827 of 2018, and considering the largest haulage equipment used (Volvo FMX 480), the ideal haul road geometry values were determined as follows: 13 m for straight road width, 17 m for curve width, 124 m for curve radius, 0.26 m for cross slope, 1 m for superelevation, and 6% for grade based on PT Trubaindo Coal Mining standards.

This study is motivated by the discrepancy between production targets and actual field performance caused by dynamic operational conditions, such as equipment productivity and effective working time. The objective of this research is to redesign the production target and develop a more realistic mine sequence using a rolling plan approach at Pit Hill16. The method includes analyzing the productivity of loading and hauling equipment based on cycle time data, calculating effective working time, and determining production targets using the rolling plan method. Furthermore, mine sequence design is developed based on the adjusted production targets. The results indicate that the productivity of loading equipment is 241.98 BCM/hour for the EC480DL excavator and 123.27 BCM/hour for the EC210DL excavator, while hauling equipment productivity is 40.24 BCM/hour. The April production target based on the rolling plan is 275,913 BCM, which can be achieved through mine sequence design with a volume of 277,839 BCM, resulting in a difference of +1,926 BCM, still within acceptable planning tolerance. Therefore, the rolling plan approach is proven to produce a more adaptive and realistic mining plan under actual field conditions.

Takaras River is a river basin that is vulnerable to pollution, particularly from the mercury usage in small-scale gold mining. This study aims to identify water quality based on mercury (Hg)and pH levels in the Takaras River. Samples were taken at two locations using a purposive sampling method. Results showed indications of mercury use on former gold mining land around the Takaras River altought the mercury content level was below 0.075 µg/L or 0.00075 mg/L in sample 1 and 2. Based on the test results, the acidity level (pH) in the two water samples from Takaras River is 3.86 and 3.84 in sample 1 and 2, compared to the maximum pH quality standard of 6-9 for Class II water, it is concluded that the scale of acidity in Takaras River is very low, indicating that the water quality in the Takaras River is highly acidic, abnormal, and shows signs of serious pollution. The implications of low pH levels in the Takaras River can cause damage to the Takaras River ecosystem, a decline in soil quality and fertility, and an increase in heavy metal toxicity in the environment surrounding the river.

The coal mining industry requires accurate stockpile volume measurements for inventory and production reporting. Conventional methods have limitations in accuracy, efficiency, and safety. This study compares the accuracy and efficiency of coal stockpile volume measurements using a Terrestrial Laser Scanner (TLS) Leica MS60 and an Unmanned Aerial Vehicle (UAV) DJI Matrice 4E, validated by the ASTM D6172-98 standard. Conducted on five Run of Mine (ROM) coal stockpiles covering 13,500 m² at PT XYZ, Lahat, South Sumatra, the TLS method used 43 scan positions, while the UAV employed 430 aerial images with specific flight parameters. Data were processed using Leica Infinity, Surpac, and Agisoft Metashape. The results showed volumes of 94,076 m³ (TLS) and 94,965 m³ (UAV), with a difference of 889 m³ (0.95%). Volume deviations ranged from 0.48% to 1.89%, with an average of 1.42%, all within the ASTM tolerance (<2%). Time efficiency analysis revealed that the UAV method required 200 minutes (3.33 hours), saving 63.3% (approximately 6.17 hours) compared to the TLS method (570 minutes). The largest efficiency gain occurred during field data acquisition, with an 85% reduction in time. This study confirms UAV photogrammetry as a valid, accurate, and efficient alternative for coal stockpile volume measurement in mining.

Coal stockpile volume measurement is an essential part of mining production control. This study aims to evaluate the calculation of coal stockpile volume using a Total Station (TS) at PT. Bukit Baiduri Energi, Kutai Kartanegara Regency, East Kalimantan Province, and to assess the accuracy and effectiveness of this method in operational activities. Data acquisition was carried out through direct field measurements using a Total Station with a detailed surface point survey method. The collected data were processed using Minescape 5.7 software to generate a triangulated surface model, and the volume was calculated using the Cut and Fill method. The results show that the Total Station method produced a stockpile volume of 21,069.15 m³ with a high level of accuracy due to direct field measurement. This method provides advantages in elevation data accuracy; however, it requires relatively more time and manpower during the data acquisition process. Based on these findings, the use of Total Station is recommended for stockpile volume calculations that require high accuracy, particularly for production evaluation and coal reserve reporting.

This study discusses the application of the fiduciary duty doctrine in Indonesian corporate law and its relationship to the legal liability of the President Director in Decision Number 80/Pid.Sus-TPK/2024/PN.Jkt.Pst in the case of PT Timah Tbk. This study uses a normative juridicial method with a statutory regulatory approach and a case approach, namely by examining law Number 40 of 2007 concerning Limited Liability Companies and relevant court decisions. The results of the study indicate that fiduciary duty is a basic obligation that must be carried out by directors in managing the company, which includes good faith, prudence, and loyalty to the interest of the company. However, in the case of PT Timah Tbk, the former President Direktor was proven not to have carried out these obligations properly. This is seen from the abuse of office, involvement in illegal mining practices, and the formation of shell companies that ultimately resulted in state losses. Violations of these principles not only have an impact on civil aspects, but also have criminal consequences. Therefore, strengthening the principles of fiduciary duty and Good Corporate Governance is very necessary to increase the accountability of directors.

This research aims to analyze the role and impact of PT Batujaya Bersama Sejahtera (PT BBS) on the socio-economic conditions of the community in Walandano Village, Balaesang Tanjung District. The background of this study is driven by the massive expansion of the mining industry in Central Sulawesi, which triggers a structural shift from traditional agriculture to an industrial economy. This study employs a qualitative method with data collection techniques including in-depth interviews, observation, and documentation. The findings indicate that PT BBS plays a significant role in local economic development by providing employment opportunities, increasing household income, and improving public infrastructure such as roads and jetties. However, the study also identifies social disruptions, including public protests regarding land issues and environmental concerns like dust and noise pollution. The implications of this research suggest that the company must strengthen its Corporate Social Responsibility (CSR) programs by focusing on sustainable community empowerment and more transparent communication to mitigate social risks. These findings contribute to the literature on regional economic development and social change in coastal mining areas.

Slope stability studies are crucial in determining the sustainability and operational safety of mining activities. This research was conducted to analyze the correlation between rock porosity and Unconfined Compressive Strength (UCS) results, as well as the corrleations between Point Load Index (PLI) and Unconfoned Compressive Strength (UCS) results. These two correlations form the primary components of the study. Three types of rock were tested claystone, coal, and siltstone. The results of the study are as follows for the correlation between porosity and Unconfoned Compressive Strength (UCS), claystone yielded a coefficient of determination (R2) of 0.32 is classified as weak correlation, with the linear regression equation Y=-0.11X+6.98. Coal yielded an (R2) of 0.56 is classified a moderate correlation, with the equation Y=-1.98X+103.77. Siltstone yielded an (R2) of 0.86 is classified a strong correlation, with the equation Y=-0.38X+20.02. Regarding the correlation between Point Load Index (PLI) and Unconfoned Compressive Strength (UCS), claystone achieved an (R2) of 0.12 is classified a very weak correlation, with the linear regression equation Y=8.91X. Coal achieved an (R2) of -0.27 is classified a very weak correlation, with the equation Y=27.87X. Lastly, siltstone achieved an (R2) of -0.45 is classified a very weak correlation, with the linear regression equation Y=24,90X.

This study aims to determine the effectiveness of supervision conducted by the Environmental and Sanitation Agency (DLHK) of Karawang Regency regarding the mining activities of PT Mas Putih Belitung based on Law Number 32 of 2009 concerning Environmental Protection and Management. The study also examines the obstacles faced in monitoring the impacts of mining activities on public health and the environment. The research used an empirical juridical method with legislative and empirical approaches. Data were collected through interviews, observations, and literature studies, then analyzed qualitatively using Soerjono Soekanto’s theory of legal effectiveness. The findings show that DLHK supervision has been implemented but has not yet operated effectively. Several factors contribute to this condition, including limited human resources, inadequate facilities and infrastructure, weak administrative law enforcement, low community participation, and insufficient compliance by the company in environmental management practices. Therefore, stronger supervision, improved law enforcement, and greater collaboration between government, companies, and communities are necessary to ensure environmental protection and public health sustainability.

Indonesia’s mineral downstreaming policy has become a strategic instrument to increase the added value of natural resources and strengthen the country’s position in the global mineral value chain. This study aims to analyze the effectiveness of the mineral downstreaming policy in encouraging regional economic transformation through the development of an integrated nickel processing industry in Obi Island, South Halmahera. The research employs a descriptive qualitative approach using secondary data obtained from government publications, corporate reports, policy documents, and environmental reports. Key data sources include regional economic statistics from the Central Bureau of Statistics, corporate publications from Harita Nickel, and regulatory frameworks such as Law No. 3 of 2020 concerning Mineral and Coal Mining. The findings show that the downstreaming policy has transformed Indonesia’s nickel industry by shifting export patterns from raw ore toward higher value-added products such as ferronickel and Mixed Hydroxide Precipitate (MHP), which are essential materials for electric vehicle battery production. The integration of Rotary Kiln Electric Furnace (RKEF) and High Pressure Acid Leach (HPAL) technologies in Obi Island has strengthened Indonesia’s role in the global battery supply chain while also stimulating regional economic growth in South Halmahera. However, the rapid expansion of the nickel industry also raises environmental governance challenges that require stronger regulatory oversight and sustainable mining practices. Therefore, future policy implementation should emphasize balanced economic development, environmental sustainability, and effective governance in mineral resource management.

Coal mining activities in East Kalimantan have significantly contributed to regional economic development, but they have also resulted in extensive land degradation that requires effective reclamation strategies. The integration of forage crops in reclaimed mine lands offers an opportunity to simultaneously support ecological restoration and livestock production. However, the performance of forage grasses under shaded conditions created by revegetation trees remains insufficiently understood. This study aimed to evaluate the physiological responses, morphological characteristics, and nutritional quality of two forage grass species, Brachiaria humidicola and Stenotaphrum secundatum, grown under shaded conditions on reclaimed coal mine land. The experiment was conducted at the PT Kitadin Embalut reclamation site, East Kalimantan, using a split-plot design with two shading levels (0% and 50%) as the main plots and two grass species as subplots. Each treatment was replicated six times. Variables measured included dry matter yield, leaf-to-stem ratio, chlorophyll content (a, b, and total), crude protein, and crude fiber content. The results showed that a 50% shading level significantly influenced physiological and morphological responses of the grasses. Stenotaphrum secundatum exhibited a marked increase in chlorophyll content under shaded conditions, indicating a stronger acclimation to low light environments compared with Brachiaria humidicola. Shading also reduced the leaf-to-stem ratio in both species. However, dry matter production was not significantly affected by shading, suggesting that both grasses were able to maintain biomass accumulation under moderate shade conditions. Shading slightly reduced crude protein and crude fiber contents.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

This study analyzes the construction and contestation of the “green development” narrative within Indonesia’s nickel downstreaming policy, particularly in the Sulawesi region. Using a Critical Discourse Analysis (CDA) approach, the study examines how the state and corporations form a discursive coalition that dominates the policy space, as well as how counter-narratives from civil society critique the social and ecological impacts of mining expansion. The findings show that the dominant narrative emphasizes energy transition and economic growth, while overlooking agrarian conflicts, pollution, and the marginalization of local communities. A crosstab analysis of five types of policy documents indicates that public involvement remains very limited, with the majority of policy formulation processes taking place without substantive participation. This condition reveals an imbalance in the deliberative structure and the exclusion of meaning within the policy process. The study concludes that the green development narrative in nickel policy has functioned as a political-economic instrument of legitimation that sacrifices ecological justice. Institutional reform is therefore required to ensure spaces for public participation and recognition of local community narratives as part of a just and sustainable energy transition.

This study aims to estimate coal resources using the kriging method at PT. Inti Bara Perdana, Taba Penanjung, Bengkulu. Geostatistical analysis was applied to evaluate spatial variability of coal quality parameters, including total moisture (TM), inherent moisture (IM), ash content (ASH), volatile matter (VM), fixed carbon (FC), and calorific value (CV). The research utilized drilling data with an average spacing of 80 meters. Variogram modeling was conducted using SGeMS software, employing spherical models to determine nugget, sill, and range parameters. The results show a low nugget effect (0%) indicating strong spatial continuity. The obtained ranges vary between 180–1296 meters depending on the parameter. Blo./ck kriging estimation was performed using block dimensions of 25 × 25 × 8 meters and a coal density of 1.3 ton/m³. The total estimated coal resource up to an elevation of 230 m is 253,500 tons. These findings demonstrate that kriging provides reliable resource estimation and supports mine planning optimization. This research contributes to improving coal resource evaluation accuracy and operational decision-making in open-pit mining.

In Indonesia, illegal gold mining (PETI) is still a persistent environmental crime, especially in resource-rich areas like Bungo Regency, Jambi Province. The efficacy of local law enforcement is still in doubt, despite the fact that Article 158 of the modified Mining Law (Law No. 3 of 2020) offers a solid legal foundation for criminal penalties. The purpose of this study is to evaluate the efficacy of criminal law enforcement in Bungo Regency against PETI from the standpoint of Islamic law based on maqāṣid al-sharī‘ah. This study uses a juridical-empirical approach, combining pertinent court rulings, field data from law enforcement, and normative legal analysis. The results show that although legal measures like arrests and convictions have been carried out, they have not had a major deterrent effect. The overall effect of enforcement operations is weakened by structural issues, such as the economic dependence of local populations, the scarcity of alternative livelihoods, and the difficulties of prosecuting informal financiers. According to maqāṣid al-sharī‘ah, illicit mining is incompatible with the defense of basic principles, especially the preservation of life (ḥifḍ al-nafs), property (ḥifṢ al-māl), and environmental sustainability. The study comes to the conclusion that effective law enforcement necessitates an integrated strategy that combines preventive and rehabilitative tactics, such as economic empowerment, legal awareness campaigns, and regular supervision, with repressive measures. A more equitable, long-lasting, and socially conscious form of environmental criminal law enforcement is provided by combining positive law with the ethical framework of maqāṣid al-sharī‘ah.