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

This study explores the effectiveness of digital mediation in resolving civil disputes within Indonesia’s judiciary system, particularly in the era of rapid technological advancement. The growing backlog of cases and the high costs of litigation have emphasized the need for more efficient and accessible dispute resolution methods. Digital mediation emerges as a promising alternative, leveraging technology to bridge geographical barriers and reduce procedural delays. The study aims to analyze the factors influencing the success of digital mediation and identify challenges that hinder its implementation. Using a qualitative approach, this research collected primary data through in-depth interviews with mediators, disputing parties, and judicial policymakers. Secondary data were gathered from official court reports and relevant literature. The analysis involved thematic coding and interpretation of data to uncover patterns and insights. Case studies from urban, semi-urban, and rural courts provided a comprehensive understanding of the varying success rates of digital mediation. The findings reveal that mediator training in technology significantly enhances the success rate of digital mediation, particularly in urban areas with better digital infrastructure. However, rural areas face challenges such as limited internet access and low digital literacy, which impede the effectiveness of the mediation process. The study also highlights the importance of integrating judicial systems with digital mediation platforms and revising regulatory frameworks to ensure consistent implementation. This research contributes to the theoretical understanding of digital mediation and offers practical implications for policymakers. It underscores the need for targeted training programs for mediators and investments in digital infrastructure to promote equitable access. The findings provide a roadmap for improving digital mediation practices and suggest further exploration of user experiences and longitudinal impacts. By addressing existing challenges, digital mediation can become a cornerstone of Indonesia’s civil dispute resolution in the digital age.

The protection of personal data has emerged as a critical concern in the digital era, particularly in Indonesia, where data breaches are increasing at an alarming rate. This study investigates the effectiveness of Indonesia's data protection policies, focusing on the implementation of Law No. 27 of 2022, and identifies the factors affecting its enforcement. Employing a qualitative approach with a case study methodology, the research analyzes three major data breach incidents involving Tokopedia, BRI Life, and BPJS Kesehatan. Data collection methods included in-depth interviews with legal practitioners and document analysis of relevant regulations and reports. The findings reveal significant gaps in the enforcement of Law No. 27 of 2022, including weak sanctions, inadequate oversight mechanisms, and limited public awareness of data privacy rights. Although the law provides a foundational framework, its effectiveness is hindered by insufficient penalties and the absence of an independent supervisory authority. For instance, while Tokopedia implemented policy revisions post-breach, similar incidents remain likely due to inadequate deterrent measures. Comparatively, the European Union's General Data Protection Regulation (GDPR) demonstrates higher effectiveness through stringent sanctions and robust enforcement mechanisms. This study contributes to the discourse on data privacy by highlighting the shortcomings of Indonesia’s current policies and proposing strategic recommendations. These include harmonizing domestic regulations with international standards, strengthening enforcement through independent oversight bodies, and enhancing public education on data privacy rights. By addressing these challenges, Indonesia can establish a more robust data protection framework, fostering trust in its digital ecosystem and ensuring alignment with global practices.

Discipline is defined as an effort to control oneself and the mental attitude of the individual or society in developing obedience and obedience to the rules and regulations based on encouragement and awareness that arises from the heart. If it is associated with learning, the discipline of learning is more related to the mental attitude of the individual in his obedience to carrying out learning activities
The research was conducted at SD Negeri Kaliwungu 01 and SD Negeri 02 in Kaliwungu Village, Kaliwungu District. The research sample was taken by purposive sampling. The variable of this research is learning discipline as the independent variable, which is measured by two sub-variables, namely learning discipline in the school environment and family environment. The second variable is learning achievement as the dependent variable.
The results showed that there was a relationship between the sub-variables of learning discipline in the school environment and learning achievement, but its contribution was very weak. This can be seen from the value of the correlation coefficient is 0.064 with a significance value on both sides of
0.491>0.05. While the sub-variable of learning discipline in the family environment also has a relationship with learning achievement with the value of the correlation coefficient is 0.183 with a significance value on both sides of 0.043 <0.05. In addition, the two sub-variables are interrelated which shows the correlation coefficient value of 0.366 with a 2-sided significance = 0.000 <0.05. Overall, the results of this study also show that there is a relationship between learning discipline variables (both school and family environments) with student achievement at SDN Kaliwungu 01 and 02. This relationship is known by the Kendall concordance test with a correlation coefficient of 0.539 and Asymp. Sig. =0.000<0.05. These results indicate that there is a relationship between learning discipline and learning achievement. In addition, the magnitude of the effect on achievement is 53.9%.

<p><em>This study aimed to determine the effect of the Employee Work Engagement variable as a mediating variable between Perceived Organizational Support and Work-Life Balance. This type of quantitative descriptive research with Structural Equation Modeling as a data processing approach. The sampling technique is purposive sampling. They collected data by distributing questionnaires to 200 security unit employees working at State and Private Universities in Semarang City. The results showed a significant positive effect between the variables perceived organisational support, employee work engagement and work-life balance. The significant positive effect of the relationship between the three variables indicates that the employee work engagement variable can mediate the relationship between Perceived Organizational Support and Work-Life Balance. The triadic process between organisational support, work involvement and work-life balance is an implementation of social exchange theory. Employees give their time, energy, thoughts and enthusiasm for the organisation's benefit. Organisations provide remuneration in the form of compensation and welfare for the persistence of employee work for the advancement of the organisation. It gives a sense of satisfaction and happiness and can be used for yourself and your family.</em></p><p>  </p><p>Tujuan dari penelitian ini adalah untuk mengetahui pengaruh variabel <em>Employee Work Engagement</em> sebagai variabel mediasi antara <em>Perceived Organizational Support</em> dan <em>Work-life Balance</em>. Jenis penelitian deskriptif kuantitatif dengan <em>Structural Equation Modeling</em> sebagai pendekatan pengolahan data. Teknik pengambilan sampel adalah <em>purposive sampling</em>. Metode pengumpulan data dengan menyebarkan kuesioner kepada 200 pegawai satpam yang bekerja di Perguruan Tinggi Negeri dan Swasta di Kota Semarang. Hasil menunjukkan ada pengaruh positif signifikan antara variabel persepsi dukungan organisasi<em>, employee work engagement</em> dan <em>work-life balance</em>. Pengaruh positif signifikan pada hubungan ketiga variabel tersebut menunjukkan bahwa variabel <em>employee work engagement</em> mampu memediasi hubungan <em>Perceived Organizational Support</em> dan <em>Work-life Balance</em>. Proses triadik antara dukungan organisasi, keterlibatan kerja dan keseimbangan kehidupan kerja merupakan implementasi dari teori pertukaran sosial. Karyawan memberikan waktu, tenaga, pikiran dan semangat untuk kepentingan organisasi. Organisasi memberikan remunerasi berupa kompensasi dan kesejahteraan pada karyawan serta memberikan rasa kepuasan dan kebahagiaan yang dapat digunakan untuk diri sendiri dan keluarga.</p>

The administrative financial data processing management system at SMP N 17 Semarang is carried out by students coming directly to pay to the Administration, because the use of 1 existing computer facility in the Principal's room and 3 computer facilities in the Administration room makes payment data recorded in a book. big. The data used in SMP N 17 Semarang still uses manual recording or bookkeeping, which can result in errors in recording payments with the same student's name, data easily lost or torn. The Grounded Research method is expected to be able to produce quality management information to support management policies. In addition, with good management of administrative activities, it is hoped that it will be able to provide comfort for students and parents of guardians in making transactions. To anticipate the occurrence of tuition payment services that are slow, not fast and inaccurate due to the large number of student payments. Seeing the duties and functions that must be carried out by administrative officers of SMP N 17 Semarang to hold a School Information system, the authors built a School Management Information System as an alternative to make it easier for administrative officers to input new student admissions, student data collection and tuition payments. which is in SMP N 17 Semarang.

Inventory is one component of company assets which is very important in supporting the continuity of operational activities of trading companies. The process of inventory mutation, makes business owners required to be able to provide accurate and relevant information about inventory. This information can be generated from the use of a merchandise inventory information system which can help business owners to know the processes related to the availability of these merchandises. To monitor the process of oil transfer and oil availability on the CV. Sumber Lumas Semarang, business owners still use manual data input by using Microsoft Excel applications and hand-written stock cards. The manual use of this system causes several obstacles, including: frequent occurrences of oil inventory balances due to human error factors in recording items on stock cards, over-stock/stock out of oil inventory in warehouses and late oil inventory reporting due to data from stock cards moved into the Microsoft Excel format every month that requires precision and a lot of time. This makes the oil inventory report is not up to date. Observed at the problems faced today, CV. Sumber Lumas Semarang needs a system which can overcome the problems of merchandise inventory record and can produce relevant and accurate merchandise inventory information.