In the era of disruption, to achieve food sustainability and the SDGs, Indonesia is faced with changes in the values, attitudes, and behavior of the community to be adaptive to environmental and technological changes. This study aims to analyze the factors that influence social transformation in peri-urban communities and their impact on food sustainability and the achievement of SDGs. The research method is a qualitative approach, triangulated by conducting in-depth interviews, field observations, and focus group discussion (FGD) in two districts. The results showed that factors influencing social transformation in peri-urban communities include: strengthening public awareness of the importance of food sustainability, access to information and technology, collaborative synergetic of government, companies, academics, and community participation in decision-making on empowerment programs. This social transformation leads to increased food production and poverty reduction. Private facilitators through CSR programs play a role in achieving food sustainability and achieving several SDG indicators related to poverty. The occurrence of collaborative synergetic between community participation, extension workers, village government, media utilization, academics, and companies contributes significantly to transforming the values, attitudes, and behavior of people managing community resources.

This study investigates the implementation and performance benefits of using a MongoDB replica set compared to a single node setup. The primary objective was to evaluate the efficiency and reliability improvements provided by replication in a NoSQL database cluster. The research involved configuring a single node and a three-node replica set, followed by conducting performance tests using CRUD operations on both setups. The results indicated that while the single node exhibited faster write operations, the replica set significantly improved read performance and provided high availability and fault tolerance. The findings highlight the advantages of using a replica set for applications requiring robust data access and consistent performance under varying workloads.

The issue of sufficient nutrition and appropriate distribution in school lunch programs presents a significant challenge that must be addressed. Many schools struggle to provide food that meets all of their students’ nutritional needs. Additionally, inconsistencies in nutritional information and administrative difficulties often hinder the efficient operation of these programs. Developing technology to better manage school lunch programs is critical to addressing these issues. The goal of this project is to create a web application that ensures the fair distribution of nutritional information while also increasing the efficiency of lunch program administration. The methodology used in this research is Agile. Agile approaches are employed throughout the development process, allowing for rapid iteration and responsiveness to user feedback. The end result is a web tool called Nourishify, designed to streamline the management and dissemination of nutritional information. Implementing Nourishify led to substantial improvements in access to nutrition information and operational efficiency, making it an innovative solution for school lunch programs. This project demonstrates that integrating technology can significantly enhance the administration and transparency of nutrition programs, ultimately benefiting students' health and well-being. Moreover, Nourishify’s user-friendly interface and real-time data capabilities ensure that all stakeholders, including parents, administrators, and nutritionists, can easily collaborate and access crucial information.

The distribution of zakat, which is still carried out directly through mosques or zakat amil bodies, can hinder the payment process due to inaccurate calculations and difficulties in finding zakat amil institutions. In the digital era, information technology is very important in the management of zakat, alms, and infaq. Therefore, a zakat information management system was created. The e-Zakat program, developed using the waterfall method, plays an important role in five main aspects of zakat management: muzaki and mustahiq data collection, zakat collection, zakat distribution, mustahiq development, and reporting. The use of information technology in this program is expected to increase efficiency, accountability, transparency, as well as the reach of zakat and muzaki involvement.

"Eureka" is a transformative platform designed to address the academic challenges faced by students by fostering an inclusive and collaborative learning environment. Through an online Q\&A discussion format, it facilitates knowledge sharing, coursework discussions, and peer support, thereby enhancing collaborative learning. Key features such as Q\&A, Answer Validation, and Leaderboard ensure efficient and reliable information exchange, motivating active student participation and mutual support. The platform's development using Agile methodologies has proven effective, emphasizing iterative development, constant user feedback, and collaborative efforts. This approach has significantly boosted student engagement and improved learning outcomes. "Eureka" not only aids in students' understanding of course material but also contributes to overall academic performance, serving as a powerful tool in creating a supportive academic environment. Its Agile-based development ensures ongoing responsiveness to student needs, enabling continuous improvement and a sustained positive impact on learning experiences.

This study aimed to investigate the diagnostic potential of circulating microRNAs (miRNAs) for detecting early myocardial fibrosis development in HFpEF patients. This observational study used a case-control research design. Peripheral blood samples were isolated from 25 HFpEF patients and 25 normal patients. They were measured for NTproBNP levels using ELISA, as well as MicroRNA-1, 21, and 29 levels using RT-PCR. All patients also underwent echocardiography for global longitudinal strain (GLS) to measure the myocardial fibrosis progression. Data were analyzed using SPSS 25.0. HFpEF patients had significantly higher GLS compared to the normal patients (-13±2.4% vs -19±3.2%; p < 0.05), suggesting HFpEF patients tended to have myocardial fibrosis. HFpEF patients also had significantly higher microRNA-1 and microRNA-21 compared to the normal patients (p < 0.05), but they had lower microRNA-1 (p < 0.05). There was a positive correlation between microRNA-1 (r = 0.753; p < 0.05) and microRNA-21 (r = 0.675; p < 0.05) and an inverse correlation with microRNA-29 (r = -0.653; p < 0.05) based on the GLS findings. By using a GLS cutoff of -15% for myocardial fibrosis, microRNA-1, microRNA-21, and microRNA-29 were found to be able to predict myocardial fibrosis based on GLS with a specificity of 78% and sensitivity of 75%. Increasing microRNA-1 and microRNA-21 followed by decreasing microRNA-29 in HFpEF patients suggest early myocardial fibrosis.