Durability is defined as a measure of a rock's resistance to weathering and disintegration when the rock undergoes weathering processes over a short period of time. The susceptibility of rocks to disintegration is related to their low durability. Rock durability is often measured using the slake durability test. The slake durability test is widely used to assess physical changes resulting from wetting-drying processes (Franklin and Chandra, 1972). Therefore, slake durability testing is conducted to understand the weathering of rocks caused by heat and water, particularly clay stones which are one of the constituent rocks on a slope. The sampling location is around Sanga-sanga and Muara Badak. Sampling was conducted with coordinate points and the Balikpapan and Kampungbaru formations. The claystone samples taken were then brought to the Mineral and Coal Technology Laboratory of the Engineering Faculty of Mulawarman University for Slake Durability tests. In this study, the lowest index value obtained was 45.7% and the highest value was 93%, indicating high to very high durability. The difference in the durability index values of claystone at the research locations indicates the presence of variables that can affect the slake durability index values of the claystone in the Balikpapan and Kampungbaru formations, including grain size and mineral content as well as geological conditions at the research site. Based on the results of the claystone durability tests, the durability index value (Id2) was obtained, indicating that the sandstone at the research location falls into the classification of high to low.

This study aims to evaluate the performance of the loading and unloading equipment in coal mining activities at the Mahakam Pit, PT Insani Bara Perkasa Site Km 11, East Kalimantan. The research was motivated by the importance of achieving mechanical equipment performance standards according to the Decree of the Minister of Energy and Mineral Resources No. 1827 of 2018. Data were obtained through direct observation and analysis of actual working time and evaluation of operational constraint factors. The results of the analysis showed that before the evaluation, the mechanical availability (MA) value was 87.24%, physical availability (PA) 88.51%, availability utilization (UA) 88.73%, and effective utilization (EU) 78.54%. After evaluating the constraint time, there was an increase in all parameters: MA to 88.71%, PA to 89%, UA increased to 90%, and EU reached 80%. This evaluation also had an impact on increasing the productivity of the loading and unloading equipment from 268.41 bcm/hour to 284.43 bcm/hour. Thus, the evaluation of work obstacles is proven to be effective in increasing the efficiency and productivity of the digging-loading equipment at the research location.

In today's digital era, awareness of mental health issues is growing significantly. Many individuals are now more open about sharing their psychological conditions through written texts on social media, forums, and surveys. This phenomenon presents an opportunity to leverage technology for the automatic detection of mental disorders through text analysis. This study aims to implement the Bidirectional Encoder Representations from Transformers(BERT) model to identify mental health conditions such as depression, bipolar disorder, anxiety, suicidal tendencies, and others. The dataset was sourced from Kaggle and underwent several preprocessing stages, including data cleaning, tokenization, and text classification model training. This BERT model achieved strong performance, with an accuracy of 91% and an average F1-Score of 0.91. These results demonstrate the model's effectiveness in identifying various psychological expressions. The findings highlight the potential for developing early detection systems that are faster, more objective, and widely accessible. However, this study acknowledges limitations in dataset diversity, suggesting future work to incorporate more varied data sources and explore other NLP models to enhance detection accuracy and coverage.

Mitra Abadi Mahakam as a contractor operating at PT. Bukit Baiduri Energi's jobsite, especially in the Pit A9 area, faces operational challenges related to variations in haul road grades. Differences in road gradients on the overburden hauling route have the potential to cause significant differences in fuel consumption between dump truck units, which ultimately affects the overall efficiency of hauling activities. The study was conducted quantitatively with primary and secondary data requirements and through 3 stages. The study resulted in an average fuel consumption value in loaded conditions of 1.41 liters and in unloaded conditions of 0.18 liters. The average fuel ratio value in loaded conditions was 0.62 liters/second and in unloaded conditions of 0.32 liters/second. The cost of fuel consumption in loaded conditions was Rp. 4,972,800 ($301.92) and in unloaded conditions of Rp. 2,607,360 ($158.30)

Stockpiles are accumulations of materials such as coal or ore stored at specific locations. Accurate stockpile volume measurement is crucial in the mining and logistics industries for inventory management and cost efficiency. Conventional methods like Real-Time Kinematic (RTK) GPS rely on surface coordinate measurements but require numerous points, especially for irregular-shaped objects. Newer technologies like Terrestrial Laser Scanners (TLS) offer high-precision alternatives by capturing thousands of points per second, expediting and enhancing the resolution of volume measurements. This study compares TLS and RTK GPS methods in measuring the volume of andesite rock stockpiles at PT Bara Tabang. This research uses a quantitative approach, involving six Ground Control Points (GCPs) measured using the Sokkia GRX2 RTK GPS on October 24, 2024. TLS generated over 8.6 million point cloud data filtered down to 35,197 points, while RTK GPS yielded 2,276 coordinates. Accuracy testing showed very small RMSE values (RMSEr: 0.008 m; RMSEz: 0.007 m), and both LE90 and CE90 demonstrated 90% confidence within a 0.012 m range. Volume calculation using Surpac software with the cut and fill method showed TLS produced a volume of 18,766 bcm (51,982 tons/m³), while RTK GPS resulted in 18,694 bcm (51,782 tons/m³), with a difference of 72 bcm or 0.211%.These results indicate that both methods offer acceptable accuracy; however, TLS provides greater data density, efficiency, and precision, particularly for complex or large-scale stockpile objects. Therefore, TLS is recommended for high-accuracy volume measurement in mining operations that require efficiency and detailed analysis.

In rehandling activities In coal processing activities, mechanical tools such as crushers are needed to obtain production results in accordance with the company's desired targets according to the crusher target, therefore in processing it is necessary to carry out precise calculations, so that the ability of the tool (crusher) and know what things greatly affect the production processing process, so that it can be used optimally and has a high efficiency value for optimal production. Therefore, it is necessary to evaluate the results of the crusher production and the productivity of the support unit during rehandling activities in achieving the production target at ROM Port Area 2 in order to adjust the ability of the tool and other influencing factors with the crusher production target desired by the company. Actual rehandling productivity meets the crusher production plan target of 1100tph. Productivity in each zone with DT wheel 10, namely zone H there are 2 of 120,620 tph and 154,935 tph, zone L of 135,351 tph, zone M of 138,313 tph, zone I of 189,709 tph. And constraints on the crusher during a month that also affect obstacles in rehandling include schedule time with a total time of 176.72 hours, breakdown time with a total time of 4.84 hours, unscheduled time with a total time of 154.62 hours.

In mining activities, there is often a discrepancy between the plan and the actual conditions in the field, this discrepancy was found after reconciliation at the end of the progress (month). From the mining activities carried out by PT. Jembayan Muarabara (JMB), coal roof floor data was obtained from the survey which was then used to find survey tonnage, model tonnage data and actual tonnage scales. Then from this data it can be used to obtain coal recovery, coal looses in coal cleaning, loading, and coal transportation. The results of the study obtained tonnage data from the survey of 26,201.50 tons, a model of 26,488.50 tons and an actual tonnage of 24,885.09 tons. From the data obtained, the coal recovery value at the research location was 94.98% with coal losses in coal cleaning activities of 4.52% or 1196.39 tons and in loading activities of 0.5% or 120.02 tons with a tonnage discrepancy between planning and actual in the field of 1603.41 tons.

Perkembangan teknologi digital telah mendorong generasi milenial dan Gen Z di Indonesia untuk aktif berinvestasi melalui instrumen berbasis teknologi. Namun, keputusan investasi mereka masih dipengaruhi oleh bias perilaku seperti overconfidence, herding, dan loss aversion, yang berdampak pada tingkat toleransi risiko keuangan. Penelitian ini bertujuan menganalisis pengaruh ketiga jenis bias tersebut terhadap toleransi risiko serta membandingkan perbedaannya antara Milenial dan Gen Z. Penelitian dilakukan dengan pendekatan kuantitatif melalui survei kepada 500 responden dari kedua generasi, menggunakan kuesioner skala Likert 5 poin. Data dianalisis menggunakan Structural Equation Modeling (SEM) melalui SmartPLS, termasuk uji multi-group analysis untuk membandingkan antar generasi. Hasil menunjukkan bahwa overconfidence meningkatkan toleransi risiko, sementara loss aversion menurunkannya. Pengaruh herding bervariasi di antara kedua generasi, menunjukkan perbedaan karakteristik perilaku investasi. Temuan ini memperkaya literatur perilaku keuangan dengan konteks lokal dan menyoroti pentingnya pendekatan edukasi keuangan yang disesuaikan dengan profil generasi. Selain itu, hasil penelitian ini membuka peluang pemanfaatan teknologi, termasuk kecerdasan buatan (AI), untuk membantu investor muda dalam mengenali dan mengelola bias perilaku serta meningkatkan pengambilan keputusan keuangan yang lebih rasional dan adaptif di era digital.

The rapid advancement of digital technology has revolutionized the financial services industry, compelling banks to adopt more efficient and secure digital platforms. This study explores the implementation of a Management Information System (MIS) to enhance the efficiency and security of interbank transactions through the BCA Mobile application, a leading digital banking solution provided by PT Bank Central Asia (BCA). The research employs a case study approach and gathers primary data from 30 respondents who are active users of BCA Mobile. Using SPSS for validity testing, the results indicate that the efficiency variable (X1) has a strong and significant positive correlation with improved transaction performance, while the security variable (X2) also contributes positively, albeit to a lesser degree. The findings suggest that an integrated MIS—featuring rapid data access, process automation, and biometric authentication—can substantially enhance operational reliability and customer trust. Moreover, the prototype development model used in this study supports user-centered design iterations to optimize usability and system functionality. The research contributes to digital banking literature by demonstrating how a tailored MIS can support financial inclusion, customer satisfaction, and strategic agility in Indonesia’s competitive banking sector. It also offers practical implications for banks seeking to minimize operational risks and improve service quality through system innovation. This study underscores the significance of continual MIS enhancements to sustain customer confidence and address evolving cybersecurity threats in the digital era.

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis tingkat kesadaran orang tua mengenai pentingnya pendidikan anak usia dini (PAUD) di wilayah komunitas rentan, khususnya di Tempat Pembuangan Akhir (TPA) 2 Karya Jaya, Kecamatan Kertapati, Kota Palembang. Pendekatan kualitatif deskriptif dengan metode studi fenomenologi digunakan untuk menggali secara mendalam pengalaman dan pandangan para orang tua terhadap pendidikan anak usia dini. Hasil penelitian menunjukkan bahwa mayoritas orang tua belum sepenuhnya memahami esensi pendidikan anak usia dini sebagai fondasi perkembangan anak. Hambatan-hambatan seperti rendahnya tingkat pendidikan orang tua, kondisi ekonomi keluarga, serta terbatasnya akses terhadap layanan pendidikan menjadi faktor utama rendahnya partisipasi dalam PAUD. Namun, keberadaan PAUD Ceria yang dikelola oleh Lembaga Satu Amal Indonesia memberikan dampak positif yang nyata, khususnya dalam membangun kesadaran dan partisipasi orang tua. Penelitian ini menekankan pentingnya sinergi antara lembaga sosial, masyarakat, dan pemerintah dalam memperluas akses serta meningkatkan kualitas layanan PAUD di daerah-daerah marginal.