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This study aims to analyze the types of student learning difficulties in solving mixed arithmetic operations based on the Newman Error Analysis (NEA) approach. This research uses a descriptive qualitative approach with literature study techniques on national scientific articles published between 2020 and 2025. The data were analyzed based on five categories of errors according to NEA, namely reading errors, comprehension errors, transformation errors, process skill errors, and coding errors. The results showed that students experienced all types of errors, with transformation and process skill errors as the most dominant types. Factors causing the errors include weak mathematical literacy, lack of understanding of basic concepts, low motivation to learn, and limited contextual and interactive learning strategies. The findings recommend the need for the use of NEA-based diagnostic approaches in mathematics learning as well as the integration of visual learning media to strengthen students' understanding of the concept of mixed arithmetic operations.

This study explores the impact of hyperbolic figurative analysis in the theme of the film "The Greatest Showman". By paying attention to the use of excessive language in narration and dialogue, this study reveals how hyperbolic figurative enriches the audience's experience and conveys deep messages in the context of the film's theme. By using an analytical approach and case studies from the film, this research provides new insights into the power and significance of hyperbolic figurative in audiovisual works of art.

Company CV. AM Nanda Putra is located in Sidoarjo and operates in the scaffolding industry. Currently the company is experiencing losses due to a lack of optimization in planning the amount and time of ordering raw materials, which results in shortages and excess material inventory. To overcome this problem, the company uses the MRP (Material Requirement Planning) method in optimizing raw material planning. In terms of the lot sizing approach, the company applies the LFL and EOQ methods. The forecasting methods used are Moving Average (MA), Weight Moving Average (WMA), and Exponential Smoothing (ES). The smallest MAD results were obtained using the Exponential Smoothing (ES) method for all scaffolding products. The forecasting results are obtained to determine the MPS (Master Production Schedule) for the next 10 months. After the determination of  MPS, the results of Material Requirement Planning (MRP) were obtained, namely the supply of raw materials for MF 170 AM scaffolding of 35402 units or 17700 sets, MF 170 K1 scaffolding of 28906 units or 14453 sets, MF 190 AM scaffolding of 16250 units or 8125 sets, and MF 190 K1 scaffolding of 7656 units or 3828 sets. From the results of calculating the cost of raw material requirements using the Lot for Lot (LFL) method and the Economic Order Quantity (EOQ) method, it can be seen that the total cost of planning the smallest raw material inventory with an amount of Rp. 12,975,818,022.