Introduction: Muscle mass has a contribution to body strength. One third of the human body is part of the lower extremity. The limbs are part of the lower extremity. This study aims to investigate the length of the limb with muscle mass. Methods: Cross-sectional study with the subjects of this study were 39 students (12 females and 27 males) with male characteristics (age 20.03±0.7, height 168±5.46, weight 61.92±10.98, BMI 22±4.24) while in women (age 20.16±0.83, height 158.83.3±5.13, weight 54.7±12.02, BMI 21.65±4.51). Pearson correlation from SPSS version 26 with a significance level of P-value < 0.05. Findings: Based on the data, there was a signifi correlation between the length of the leg and muscle mass on both the right (P-value: 0.000, r: 0.634) and the left (P-value: 0.000, r: 0.629). Conclusion: This study proves that the longer the limbs a person has, the greater the muscle mass he has.

This study aims to analyze the implementation of the Betang Mobile application as an innovation in welfare services for MSME partners at PT. Bank Pembangunan Kalimantan Tengah. The study uses a qualitative approach with in-depth interviews and document analysis to explore the experiences and perspectives of various stakeholders involved, including MSME customers, customer service, and bank management. The research method applied is a case study with an innovation diffusion theory approach as proposed by Everett M. Rogers (1995). In this study, five key characteristics of innovation diffusion relative advantage, compatibility, complexity, trialability, and observability are used to evaluate the impact and acceptance of the Betang Mobile application among MSME partners. Data collected from interviews with informants, including MSME customers and customer service, indicate that 75% of MSME players feel the application enhances service access, while 85% of users find the application compatible with their needs. The findings show that the Betang Mobile application has provided benefits in terms of efficiency and ease of access for MSME partners. About 40% of users report increased satisfaction, and 82% consider the application more efficient compared to traditional methods. Challenges include the adoption of technology by older MSME players and those in remote areas. Based on these findings, the study recommends that Bank Pembangunan Kalimantan Tengah focus on digital education for MSME partners, strengthen data security systems, and consistently update features to maintain the application's relevance. In conclusion, the Betang Mobile application has proven to make a positive contribution to the welfare services of MSME partners, with visible impacts on the accessibility and efficiency of banking services. To enhance the effectiveness of this application, it is recommended that Bank Pembangunan Kalimantan Tengah address challenges related to technology adoption and data security, as well as conduct regular evaluations of the application's features to keep them aligned with evolving user needs.

Soil microorganisms play an important role in increasing nutrient availability for maize plants through the processes of nitrogen fixation, phosphate solubilization, and humic acid production. These processes not only increase maize productivity but also reduce dependence on synthetic chemical fertilizers, thus supporting agricultural sustainability. This study explores the benefits of microorganisms such as Rhizobium, Azospirillum, Pseudomonas, and arbuscular mycorrhizal fungi in enhancing nutrient uptake, protecting plants from environmental stress, and improving soil quality. Challenges in the application of microorganism technology include adaptation to diverse environmental conditions and low farmer adoption. However, advances in genomic technology and biotechnology open up opportunities to optimize the benefits of soil microorganisms. The implementation of this microorganism-based technology has the potential to support efficient, environmentally friendly and sustainable maize farming.

PT Bumi Daya Plaza faces various obstacles in managing inventory because it still relies on a manual system based on Microsoft Excel. This approach causes a number of problems, such as recording errors, low data security, and limited real-time access, which negatively affect operational efficiency and customer satisfaction. This study aims to develop a web-based inventory system to overcome these problems. This system is designed to be able to monitor stock in real time, automate the reordering process, and generate accurate reports automatically. The research methodology includes interviews, observations, and document analysis to ensure user needs are met. The implementation results show that this system can improve work efficiency, reduce recording errors, and strengthen data-based decision making. With this innovation, PT Bumi Daya Plaza is expected to increase competitiveness and respond to market needs more effectively.

This study aims to analyze the impact of mind mapping on reading comprehension skills among elementary school students (SD/MI). In this journal, the approach used is a literature review by analyzing various relevant sources related to the influence of mind mapping on reading comprehension skills in SD/MI. This method aims to collect, evaluate, and summarize existing information in the literature, including journal articles, books, and credible online sources. The results of the analysis indicate that students who utilize mind mapping experience a significant improvement in their reading comprehension abilities. These findings suggest that mind mapping can be an effective strategy for enhancing students' reading comprehension by helping them organize information visually and facilitating a more interactive learning process. This study recommends that teachers consider incorporating mind mapping into their teaching practices to improve the quality of reading comprehension among students in SD/MI.

Sinar Bhakti Village, located in Ogan Komering Ulu Regency, holds significant potential in rubber plantation management. However, suboptimal rubber tapping techniques often pose a major challenge for beginner farmers, resulting in low production yields and damage to rubber trees. This community service program aims to empower beginner farmers through training on optimal rubber tapping techniques. The method used was a participatory approach with hands-on field training. The training was conducted on Saturday, January 19, 2025, and included the introduction of tapping tools, proper tapping techniques, and post-tapping tree care. The activity involved beginner farmers in Sinar Bhakti Village. The results indicate that the training successfully enhanced participants' understanding of proper rubber tapping techniques. All participants effectively applied the techniques during field simulations. Additionally, participants demonstrated increased confidence in managing rubber plantations independently. This program positively impacted not only rubber productivity but also the economic sustainability of the village community.

The training "Optimizing Social Media in Supporting Local Social and Cultural Campaigns in Palembang City" was held with the aim of improving the understanding and skills of the community, especially cultural community actors, in utilizing social media as a tool to introduce and preserve Palembang's local culture. The background of this training is driven by the rapid development of digital technology, which opens up great opportunities for the City of Palembang to promote its rich culture and traditions to a global audience. Training activities are carried out in the form of theoretical and practical sessions, which include content creation, interaction strategies with audiences, and selection of the right platform to convey local cultural messages. The results of this training showed an increase in participants' understanding of the importance of using social media in cultural and social campaigns, as well as practical skills in creating effective content. In conclusion, this training successfully equips participants with the ability to optimize social media in promoting local culture and strengthening Palembang's cultural identity in the digital world.
 

This research aims to optimize the introduction of the MDIN application as one of the sharia banking services offered by Bank Muamalat Indonesia to its customers in Parepare. The MDIN application is designed to provide convenience in digital banking transactions while maintaining sharia principles. The service methods used include outreach, training and assistance to customers. The results of the service show that the introduction of this application increases customers' understanding of digital sharia banking features and increases their interest in using the MDIN application in daily transactions.

Organic fertilizers contain organic materials such as compost, manure, or other organic waste materials. When organic fertilizers are applied to the soil, they provide an abundant source of nutrients, including nitrogen, phosphorus, and potassium, as well as essential micronutrients. The community service activity program aims to empower farmers with the knowledge and skills to make organic fertilizers from local materials, which not only lower production costs but also improve soil quality and crop yields. The community service activity with the theme "Assistance and Making Organic Fertilizers in Reducing Fertilizer Costs for Farmers in Rowo Gempol Village, Lekok District, Pasuruan Regency" Through the Participatory Action Research method which includes preparation, processing, application, and evaluation, this program has succeeded in improving soil quality and supporting plant growth in the campus green area. Organic fertilizers, produced from campus organic waste such as dry leaves and food scraps, increase soil nutrient content and plant health, and reduce the negative impacts of synthetic chemicals. This activity also involves students in the process of processing and applying fertilizers, providing practical experience and raising awareness of the importance of sustainable agriculture and environmental management. The evaluation results showed a significant positive impact on soil quality and plant growth, with more fertile soil and healthier plants. In addition to the ecological benefits, the program plays an important educational role, by increasing students' understanding of environmentally friendly practices and organic farming skills. The success of this model is expected to be replicated in other villages. so that the benefits of this program can be felt more widely and support the creation of more sustainable agriculture.

Purpose: Investment is the allocation of funds with the aim of obtaining profits in the future. An example of the investment instruments with high returns and high risks are stocks. The risks associated with the investment can be reduced by forming a portfolio of quality stocks optimized through mean-variance (MV). This is necessary because successful selection of high-quality stocks depends on the future performance which can be determined through accurate price prediction.
Methods: Stock price can be predicted through the adoption of different forms of deep learning methods. Therefore, BiLSTM and LSTM models were applied in this research using the stocks listed on the LQ45 index as case study.
Result: The utilization of LSTM and BiLSTM models for stock price prediction produced favorable outcomes. It was observed that BiLSTM outperformed LSTM by achieving an average MAPE value of 2.1765, MAE of 104.05, and RMSE of 139.04. The model was subsequently applied to predict a set of stocks with the most promising returns which were later incorporated into the portfolio and further optimized using the Mean-Variance (MV). The results from the optimization and evaluation of the portfolio showed that the BiLSTM+MV strategy proposed had the highest Sharpe Ratio value at k=4 compared to the other models. The stocks found in the optimal portfolio were BRPT with a weight of 19.7%, ACES had 16.9%, MAPI 11.8%, and BMRI at 51.6%.
Novelty: This research conducted a novel comparison of LSTM and BiLSTM models for the prediction of stock prices of companies listed in the LQ45 index which were further used to construct a portfolio. Past research showed that the development of portfolios based on predictions was not popular.