Capital markets play a strategic role in the global economy; however, high volatility often poses challenges for investors in making optimal investment decisions. Stock price prediction has become one of the key elements in effective portfolio management, but the complexity of market data demands more advanced analytical approaches. This study aims to explore the potential of Long Short-Term Memory (LSTM) models in predicting stock price movements and integrating these predictions into portfolio optimization strategies based on modern portfolio theory. The research methodology utilizes historical stock data from the S&P 500 and IDX Composite indices with daily frequency. The LSTM model is compared with Recurrent Neural Networks (RNN), Support Vector Machines (SVM), and Artificial Neural Networks (ANN) using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and accuracy. The LSTM model demonstrated superior performance with an MSE of 0.0018, RMSE of 0.042, and prediction accuracy of 91.5%, significantly outperforming RNN (87.3%), SVM (80.2%), and ANN (82.7%). The prediction results were then integrated into portfolio optimization using the Mean-Variance Optimization approach, resulting in an increase in expected returns from 8.5% to 12.3%, a reduction in risk from 6.2% to 5.8%, and an improvement in the Sharpe ratio from 1.37 to 2.12. This study demonstrates that the LSTM model not only excels in stock price prediction accuracy but also contributes significantly to enhancing portfolio management efficiency. This Deep Learning-based approach offers a more adaptive, data-driven investment strategy, supporting more informed decision-making in the dynamic capital market

Physics is a branch of science that requires more cognitive abilities, while the ability to receive information from each person is different. One effective way to deliver information is to use simulations.This research was conducted at SMA Veteran Purwokerto, research participants were students of class X, a case study that explored a group of students, with the method of observation and literature study. This study aims to find out the increase in students' understanding of concepts that are specifically related to Regular Straight Motion and Straight Changed Irregular Motion through learning media, and to determine student involvement in the learning process. To find out whether or not there was an increase in students 'understanding of the concept of Straight Motion Straight Motion Irregularly Changed, researchers compared students' understanding before and after learning with learning media.The results showed that overall there was an increase in understanding of the concepts of Irregular Straight Motion and Irregularly Changed Straight Motion, overall student involvement was very active.

Main Problem: There are differences in the influence of AI and Big Data on employee performance in previous research. Objective: Focus research by reviewing and analyzing whether Artificial Intelligence or AI has an influence on employee performance. Next, analyze whether Big Data affects employee performance. Originality: The Influence of AI and Big Data on Employee Performance. Method: To select the research sample, the proportional area random sampling method and regression equation were used to process the data with the help of the SPSS application. Results: In this research and discussion, it can be concluded that AI Big Data has an influence on the performance of employees at PT. Widya Robotics Yogyakarta, General Ahmad Yani International Airport Semarang, PT. Global Data Inspiration Yogyakarta.

The Research that entitled “The Influence of Interest Rate and Earnings Percapita To Saving In Banyumas Regency”. Data that used are secondary data : interest rate of deposit at public bank, GDRB according to Constant price in Banyumas Regency, sum up resident in Banyumas Regency, saving of Banyumas sociedy, period of year time are 2016-2021 aims to 1) partial analyzing the influence of interest rate an earning per capita to saving in Banyumas Regency (2) knowing the most factor effects to saving in Banyumas Regency.
The Result of analyzing during period 2016-2021 shows :

Saving mean in Banyumas Regency during the research period are Rp. 1.634,683 milliar, the mean of interest rate are 19,50%. The mean of Earnings percapita during the research period are Rp. 1.498.677,- its better than minimum regional wage, it’s mentioned indicate that the good enough society Banyumas earnings.
The correlation coefficient show that the variable of interest rate has a strong relation with saving, its mentioned of 0,596, The correlation coefficient of earnings percapita with saving are 0,943. It’s mean that retation of variable of earnings percapita has the strong relation with saving.
Partial effects from independent variable show that interest rate and earnings percapita have a significant effect. Earnings percapita is a most effect to saving its show by significance of alpha 0,000 and t value is 6,951 its above of t tables 2,18 interest rate has t value 3,238 with the significance of alpha 0,017.
Simultan effects show that independent variable (interest rate and earnings percapita) have an effect to saving with significance of alpha 5%, it’s mentioned proved with the F value 40,259 bigger than F tables 3,86 and with significances of alpha 0,000.
Based on elasticity of earnings percapita have a biggest effect to saving with the value 1,314.

Therefore, government of Banyumas Regency suggested to make-up of earnings percapita so that saving in Banyumas Regency can increase.

Perkembangan ilmu dan teknologi komputer yang pesat membawa dampak positif bagi dunia pendidikan dan ilmu pengetahuan yang merupakan aspek penting dalam membangun sumber daya manusia yang handal dan berkualitas, teknologi informasi akan membawa perubahan yang berarti dalam hal sistem pendidikan yang akan dikembangkan. Komputer multimedia merupakan salah satu perkembangan dari teknologi komputer. Komputer multimedia memungkinkan penggabungan teks, suara, grafik, serta animasi untuk media penyampaian informasi yang lebih menarik dan memberikan pemakai untuk berinteraksi dengan program multimedia, sehingga dengan software tertentu, pemakai dapat melakukan eksperimen.
Masalah-masalah dalam proses pembelajaran seperti kejenuhan dan kurangnya semangat siswa, gangguan dalam kelas, serta perhatian siswa yang rendah karena mengantuk perlu segera diatasi. Salah satu solusi pemecahannya adalah dengan penggunaan media pembelajaran. Media animasi merupakan salah satu contoh pemanfaatan teknologi dalam menunjang proses pembelajaran sholat. Tujuan dari penelitian ini adalah dengan mempelajari animasi tuntunan Sholat akan lebih menarik perhatian siswa-siswi untuk memahami dan mempelajari tata cara sholat yang benar. Hasil penelitian ini yaitu program Animasi 2D Sholat dengan  Adobe Flash yang memiliki kemampuan memberikan gambaran tentang tata cara belajar shalat serta mengaplikasikan ilmu tersebut saat melaksanakan shalat.