The term "cloud computing" refers to the delivery of numerous services via the Internet. Because of providers that provide cloud services, users can store files and media on faraway servers and subsequently access the items online. Due to the lack of location requirements, this enables anyone to watch them remotely. This design is currently beginning to be implemented in the sphere of education, particularly in universities. In order to determine the factors influencing the adoption of cloud computing in education, previous academics have employed the technology adoption theory, which is discussed in this study. The purpose of this study, which is a systematic literature review, is to identify and assess knowledge gaps about the factors impacting the adoption of cloud computing in education. To fill in any gaps and add to the body of knowledge already in existence, this study will therefore enhance the information by offering a complete examination of the material that is already available.

This journal examines the factors that have the potential to cause delays in the implementation of the Dempsey Hill residential housing construction project, North Citraland, Surabaya. Projects managed by CV. Tirta Kusuma has a target of completion in 10 months, but there are indications of delays that affect the schedule and costs. This study aims to identify and analyze the dominant factors causing delays, such as project management, material procurement, and human resources. The methods used include observation, questionnaire distribution, and literature study. The results of this analysis are expected to provide recommendations to improve time management, resource efficiency, and control of future construction projects. The results of data analysis in this study indicate that project delays are primarily caused by material delays and errors in work execution, as concluded based on the results of factor analysis.

The evolution of computer architecture has given rise to two main approaches: RISC (Reduced Instruction Set Computer) and CISC (Complex Instruction Set Computer). These architectures differ significantly in terms of instruction design, efficiency, and performance. This study aims to analyze the performance and efficiency of RISC and CISC in the context of computer architecture organization. The methodology includes a literature review, comparative analysis, and performance evaluation based on parameters such as processing speed, power consumption, and design complexity. The results indicate that RISC tends to be more efficient in terms of power consumption and execution speed for simple instructions, while CISC excels in handling complex instructions with fewer lines of code. The findings of this study can serve as a reference for the development of modern computer architectures that balance performance and efficiency.

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.

In the Kutai Basin area, seasonal changes such as high rainfall can significantly increase groundwater content, so that the effect of water content on the shear strength of claystone, increasing water content in rocks tends to decrease shear strength. Water in the pores or fractures can increase pore water pressure and reduce effective normal stress. Shear strength is one of the most important mechanical parameters used to assess soil and rock stability, this parameter is very important in slope stability analysis, foundation planning, and various civil engineering and mining applications. Therefore, this study was conducted to determine whether the water content in rocks can affect the strength of rocks in receiving shear forces. The method used in this study is more quantitative and specific to the effect of water content on the shear strength of claystone in this area. Increasing water content in rocks tends to reduce shear strength. This study was conducted by taking claystone samples from several locations in the Kutai Basin. Data collection in the form of primary data and secondary data for testing physical properties and testing mechanical properties, in testing physical properties, the water content value will be taken as supporting data which is one of the factors that affect rock strength, in testing mechanical properties, claystone shear strength data will be taken. From the results of the physical properties test calculations, the air content in each Formation is obtained, namely, in the Kampungbaru Formation the minimum air content value is 15.54% and the maximum is 20.17%, in the Balikpapan Formation the minimum air content value is 10.21% and the maximum is 12,88%, in the Palaubalang Formation the minimum air content value is 10.49% and the maximum is 22.87%. The results of the strength of the claystone in receiving shear forces in the Kutai Basin are the Muara Jawa location 0.486MPa, Tanah Datar location 0.500 MPa, Sanga-sanga location 0.333 MPa, Muara Badak location 0.269, Air Putih location 0.711MPa, Mugirejo location 0.021 MPa and Lempake location 0.092 MPa.

With the times, cash transactions that used to use cash are now turning to credit cards. However, the increasing use of credit cards presents challenges, especially in maintaining customer loyalty. Customer churn is the loss of customers within a certain period for various reasons. Logistic Regression is a machine learning algorithm that studies the relationship between a dependent variable and several independent variables and Extreme Gradient Boosting (XGBoost) is a Gradient tree-boosting algorithm that offers out-of-core learning and sparsity awareness.The purpose of this study is to compare the performance between Logistic Regression and Extreme Gradient Boosting (XGBoost) algorithms in predicting customer churn in credit card services using evaluation metrics such as accuracy, precision, recall, and F1-score. Based on the research results, it can be concluded that XGBoost has better performance in all evaluation metrics, both in terms of precision, recall, F1-score, and accuracy. Based on the research, XGBoost shows superior performance compared to Logistic Regression in all evaluation metrics.

This study aims to examine the role of Social Studies (IPS) teachers in implementing Pancasila values in Social Studies learning for eighth-grade students at MTs Negeri 2 Jombang. A qualitative descriptive approach was used, with data collected through observation, interviews, and documentation. The research subjects consisted of Social Studies teachers and eighth-grade students. The results showed that the implementation of Pancasila values was carried out by integrating values such as tolerance, mutual cooperation, and social justice into Social Studies learning and students' daily interactions. Strategies included regular religious activities, moral messaging, and exemplary behavior by teachers. This implementation positively impacted character development, reduced bullying behavior, and increased awareness of diversity and unity. Challenges included students' diverse backgrounds and limited instructional time. These findings indicate that Social Studies teachers play a central role in instilling Pancasila values to shape students into individuals with strong character and a sense of national identity.
 

This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesian Ministry of Education data from 2021-2023, incorporating lag features, delta calculations, and rolling statistics. Two models were implemented: one with SMOTE achieving 99% accuracy with perfect recall for high-risk regions, while the non-SMOTE model reached 100% accuracy. Temporal features were identified as crucial predictors, reflecting external fluctuations and annual changes impacting dropout decisions. This approach enables educational institutions to allocate resources more efficiently by prioritizing operational assistance for high-risk schools. The model's capacity to identify high-risk regions with 100% recall represents a strategic investment in strengthening Indonesia's human resource sustainability. To address the limitations of provincial aggregate data, expansion to include individual-level variables and model validation at district or school scales is recommended for future research.

Increasingly fierce business competition forces companies to look for innovations and strategies to maintain customer satisfaction and trust. PT Quinsha Trans Jaya, a tourism transportation services company, faced problems in providing service information and collecting customer feedback. To overcome this, a website-based customer relationship management system is needed. This system is expected to improve operational performance, facilitate purchases, and provide complete information to customers. The development of the system uses the Rational Unified Process (RUP) method and aims to help PT Quinsha Trans Jaya retain and attract new customers. The customer relationship management information system built will focus on service transactions through the website. Then this system has information features related to rentals and purchases as well as available promotions. There is also a reward feature, feedback from customers that helps companies increase customer loyalty.

This research analyzes the application of Voice of Customer (VoC) in Customer Relationship Management (CRM) strategies in leading Indonesian digital platforms, namely Tokopedia and Gojek. In the competitive digital era, the company's ability to understand and respond to customer expectations is crucial for maintaining relevance and competitiveness. CRM, as a customer interaction management strategy, is significantly strengthened by VoC, which involves a systematic process to capture customer feedback to understand their expectations and perceptions of products, services, and brands as a whole. Using a qualitative approach and descriptive analytical methods, this study utilizes secondary data from various reliable sources. Empathy Map is used to map the customer experience based on "Think & Feel", "See & Observe", "Say & Do", and "Hear & Listen". Results show both companies commit to VoC for service development, integrating digital channels for feedback, and applying customer-centricity. Tokopedia focuses on shopping experience and product quality with structured, long-term VoC. Gojek emphasizes service timeliness and partner professionalism with direct, adaptive VoC. Consistent VoC enables proactive and predictive CRM. This research contributes to CRM literature in Indonesian digital companies.