Publication Search

This study aims to analyze the implementation of compensation for flight delays at Sultan Aji Muhammad Sulaiman Sepinggan International Airport, Balikpapan. This study uses a qualitative descriptive approach, with data collection techniques through direct observation, in-depth interviews with airline staff, and documentation during On the Job Training (OJT) activities. The main focus of the study is to evaluate the extent to which passenger rights have been fulfilled by airlines in accordance with applicable regulations, specifically the Regulation of the Minister of Transportation of the Republic of Indonesia Number PM 89 of 2015 concerning Handling Flight Delays. The results of the study indicate that the implementation of compensation by several airlines is still not optimal. There are discrepancies between regulatory provisions and implementation in the field, such as late delivery of information, disproportionate compensation, and uneven service among airlines. Passengers often do not receive clarity regarding their rights, and complaint mechanisms are still limited. Factors causing delays include technical problems, bad weather, inefficient operational management, and limited number and capacity of human resources on duty. This study emphasizes the need to improve the internal and external communication systems of airlines so that information related to delays and compensation can be conveyed transparently and in a timely manner. In addition, airlines need to conduct regular evaluations of standard operating procedures (SOPs), strengthen customer service training for staff, and foster synergy between work units to improve responsiveness to unforeseen situations. Regulators and airport authorities need stricter oversight and the implementation of strict administrative sanctions for violations of passenger rights. These findings provide important contributions to the formulation of public policy in the air transportation sector and provide input for improving services that are more humane, accountable, and oriented toward customer satisfaction.

This study aims to analyze the strategy of utilizing vacant spaces within airports to enhance non-aeronautical revenue through collaboration with Micro, Small, and Medium Enterprises (MSMEs). Given the growing importance of non-aeronautical revenue sources in the aviation industry, this research focuses on how airports can optimize underutilized spaces for commercial purposes. The research method applied is library research, where relevant literature, journals, and previous studies are reviewed to gain insights into successful strategies and best practices. The findings of the study indicate that the development of commercial spaces, such as fast-food tenants, retail outlets, and photo booths, can significantly enhance the passenger experience by providing convenient services and entertainment. Additionally, these developments offer a sustainable alternative revenue stream for airports, diversifying income beyond traditional aeronautical activities. The research also explores the role of the Value Proposition Canvas business model to assess the alignment between the value offered by these services and the needs of passengers. By applying this model, the study emphasizes the importance of understanding customer expectations and ensuring that airport services meet these demands. The analysis further highlights that successful implementation of these strategies requires careful planning, including collaboration between airport management, MSMEs, local governments, and sponsors. Building strong partnerships and ensuring mutual benefit are critical for maximizing the non-aeronautical revenue potential. The study concludes by suggesting that airports can leverage vacant spaces more effectively to not only boost revenue but also improve the overall passenger experience, contributing to the long-term sustainability and growth of the airport sector.

The issue of determining the number of students' graduation times is one of the important indicators in transmitting the quality and effectiveness of the higher education process in universities. The rate of on-time graduation not only impacts accredited institutions, but also becomes a concern for campus management in designing learning strategies and academic guidance. This study aims to apply and compare two classification algorithms in data mining, namely C4.5 and K-Nearest Neighbor KNN, in predicting the accuracy of students' graduation times. Predictions are made based on academic attributes such as Grade Point Average GPA, number of credits that have been achieved, and Semester Grade Point Average IPS as input variables. The method used in this study is Knowledge Discovery in Database KDD which includes data selection, preprocessing, transformation, data mining, and evaluation of results. The study was conducted using the RapidMiner tool, with a dataset of 279 Informatics Study Program students from the 2015 to 2019 intake. The data was classified into two categories: "graduated on time" and "not graduated on time". The test results showed that the KNN algorithm provided better performance compared to C4.5. KNN produced an accuracy of 76.08%, with a precision of 73.11% and a recall of 41.92%. Meanwhile, the C4.5 algorithm produced an accuracy of 73.49%, with a precision of 64.62% and a recall of 41.89%. This difference in accuracy indicates that KNN is more effective in capturing patterns in the data and providing more accurate predictions in this context. Thus, the KNN algorithm can be considered a more optimal method to assist universities in predicting potential student admissions in a timely manner, thus enabling early intervention for students at risk of late graduation. This research also contributes to the development of data mining-based academic decision support systems in higher education.

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

This study aims to analyze the effectiveness of preventive maintenance on the Simplex machine at PT. XYZ by applying the Overall Equipment Effectiveness (OEE) method and identifying the primary causes of production losses through the Six Big Losses framework. Preventive maintenance is an important strategy to ensure machine reliability, reduce downtime, and improve production efficiency. OEE is a widely recognized performance measurement tool consisting of three key indicators: Availability, Performance, and Quality. These indicators collectively reflect the overall effectiveness of equipment in supporting the production process. The results of this study indicate that the OEE value of the Simplex machine is 79%, which remains below the world-class benchmark of 85% as recommended by the Japan Institute of Plant Maintenance (JIPM). This finding suggests that the machine’s performance has not yet reached the optimal standard and requires improvement efforts. Further analysis using the Six Big Losses approach reveals that the most significant contributors to reduced machine effectiveness are equipment failure and idling or minor stoppages. These two categories account for the majority of productivity losses, thereby affecting both machine utilization and production output. To further explore the underlying issues, a root cause analysis was conducted using a fishbone diagram, which enabled the identification of several critical factors related to human resources, methods, machines, materials, environment, and measurement systems. Based on this analysis, improvement proposals were developed through the 5W+1H method, providing a systematic strategy to enhance preventive maintenance practices. The recommended actions include scheduling more frequent inspections, improving operator training, upgrading spare parts management, and implementing stricter monitoring of machine performance. In conclusion, this study highlights the importance of continuous preventive maintenance to optimize machine productivity and reduce unplanned downtime. By adopting the proposed improvement strategies, PT. XYZ can increase the effectiveness of its Simplex machine, moving

This study aims to design and develop a website-based library information system using the Agile method at SMK Azzahro Palembang. The Agile approach was chosen because it allows for an iterative, flexible, and collaborative software development process between the development team and end users. This process prioritizes speed in completing each development stage and allows for continuous improvement based on user feedback. The developed information system includes several key features, such as book data management, library member data, loan and return transactions, and online book catalog searches. Through this system, library management activities become more structured, efficient, and well-documented. In addition, users—both students and teachers—can easily access book availability information without having to come directly to the library, thus improving time efficiency. The trial results show that this system significantly improves the work efficiency of library staff and user convenience in accessing information. This study also notes the important contribution of the Kampus Mengajar program, which supports the transfer of information technology knowledge to schools and encourages increased digital literacy among students and education personnel. With this information system, it is hoped that library management at SMK Azzahro will be more modern, transparent, and support the school's literacy culture in a sustainable manner. In addition to the practical benefits, the development of this library information system will also have a positive impact on improving digital competency for all elements of the school. Teachers and administrative staff who were previously unfamiliar with intensive digital system use will receive training and mentoring throughout the implementation process. This will result in improved information technology skills that can be applied not only to library management.

The agricultural sector has a vital role in meeting national food needs, improving community welfare, and strengthening regional food security. However, the sector still faces various challenges, including land limitations, climate change, price fluctuations, and low production cost efficiency. Therefore, innovation is needed through the application of digital technology that is able to increase the productivity and sustainability of farming businesses. One of the solutions offered is the use of Artificial Intelligence of Things (AIoT), which is the integration of artificial intelligence (AI) with the Internet of Things (IoT) that allows agricultural systems to run more intelligently, efficiently, and scalably. This community service activity was carried out with the Satria Tani Hanggawana Farmers Group located in Kalisapu Village, Slawi District, Tegal Regency, with the main focus on premium melon cultivation. The method of the activity included material presentations on the concept of smart farming, the introduction of IoT-based sensor devices for monitoring temperature, humidity, and plant nutrition, field practices in greenhouses, simulations of the use of AI-based applications for crop prediction, and interactive discussions. In addition, material was also provided on simple agribusiness management, financial recording, and crop marketing strategies so that farmers are able to manage their businesses more professionally. The results of the activity showed a significant increase in participants' knowledge related to the application of AIoT in modern agriculture. Farmers not only understand the benefits of technology, but are also able to practice using tools and applications directly. The enthusiasm of the participants was reflected in their active involvement in discussions, willingness to try new technologies, and awareness of the importance of innovation to face agricultural challenges in the digital era.

Indonesia is a country rich in culture, one of which is batik, recognized by UNESCO as an intangible cultural heritage of Indonesia. Batik is not only a visual art form but also holds significant potential as a context for teaching mathematics. Unfortunately, the integration of local culture into mathematics education has not been widely implemented. Therefore, this community service activity aims to train teachers and assist students in applying Realistic Mathematics Education (RME) based on batik culture at MTs Nurul Ummah Kotagede, Yogyakarta. The activity was carried out in three stages: preparation, implementation, and evaluation. In the preparation stage, teachers were provided with training on the theory and practice of RME, which was then applied in the classroom. The lesson focused on geometric transformations, using batik patterns as a real-world context. By linking mathematical concepts to the familiar cultural context of batik, it was hoped that students would more easily understand abstract mathematical ideas and find them more meaningful. The results of the activity showed high enthusiasm from the students and positive appreciation from the teachers toward the RME model based on culture. Students demonstrated a better understanding of mathematical concepts, as the learning process connected theoretical knowledge to real-world contexts they recognized. Additionally, teachers acknowledged that using batik culture in mathematics education made the learning experience more enjoyable and meaningful. This activity proves that integrating local culture, such as batik, into RME can increase students' interest in mathematics and help them understand abstract concepts by relating them to real-life experiences.

Virgin Coconut Oil (VCO) is a processed coconut product with high economic and health value. VCO production is known to be relatively easy, inexpensive, and capable of producing high-quality oil rich in benefits, including as a traditional medicine and natural ingredient for beauty and health. This community service activity aims to provide students of the Biology Education Study Program at Buton Muslim University with an understanding and practical skills regarding the VCO production process as a form of utilization of local natural resources, especially coconuts. The methods used in this activity include lectures or delivery of theoretical material, interactive discussions on the content and benefits of VCO, and direct practice in making virgin coconut oil using the settling method. This method was chosen because it does not require complicated equipment, does not use excessive heating, and is able to maintain the natural quality of the resulting oil. During the implementation, students are invited to observe and follow the entire process, from selecting good coconut raw materials, the grating process, squeezing coconut milk, natural fermentation through settling, to the process of separating oil from sediment and filtering. The results of this activity demonstrated that students not only understood the concept and theory of VCO production but also produced 1,500 ml of virgin coconut oil packaged in five 300 ml bottles. The VCO was then sold to the public for approximately Rp 30,000 per bottle. Through this activity, students not only gained contextual learning experiences but also developed insights into sustainable, locally-based entrepreneurship.

This community service activity addresses the growing need for adaptive education in the digital era by focusing on strengthening the character and competence of students in line with rapid technological developments. The Pancasila Student Profile, which serves as the foundation of the Merdeka Curriculum, outlines six core dimensions: faith and piety, global diversity, cooperation, independence, critical reasoning, and creativity. Among these, creativity, independence, and critical thinking are crucial for preparing students to become innovators and problem-solvers in the digital world. However, schools in developing regions often face limitations in implementing these dimensions due to lack of resources and digital literacy. This program was implemented at SMA Negeri 2 Sorong Regency with the objective of strengthening the Pancasila Student Profile by providing training in the use of Thunkable, a visual programming platform for creating drag-and-drop mobile applications. The activity used a Project-Based Learning (PjBL) approach, enabling students to actively engage in designing simple educational applications that align with their learning context. The method encouraged hands-on exploration, teamwork, critical analysis, and creative thinking. Throughout the training, students not only learned how to navigate the Thunkable platform but also developed functional mobile apps addressing real-life learning challenges. The outcomes of the program showed a marked improvement in students’ digital literacy, problem-solving ability, innovation, and collaboration. Furthermore, students began to view themselves not just as consumers of technology but as producers of meaningful digital solutions. This initiative demonstrates that integrating digital technology with project-based learning can effectively support the implementation of the Pancasila Student Profile, even in remote or underdeveloped areas. It provides evidence that with the right approach and tools, students can be empowered to become digitally literate, creative, and socially responsible individuals who are ready to act as agents of change in the 21st century.

This study aims to describe the implementation of social activities by the 1000 Teachers Gorontalo Community, focusing on the Traveling and Teaching (TNT) program and free health check-ups in Atinggola District, North Gorontalo Regency. This community collaborates with volunteers and medical personnel to provide enjoyable education for children in remote areas and raise health awareness through free check-ups. A descriptive qualitative approach was used to understand the implementation of the program and its impact on the community through observation, in-depth interviews, and surveys. The results show that the TNT program, which combines education and tourism, successfully strengthened the relationship between volunteers and the community. The health check-ups provided direct benefits to communities that have difficulty accessing health services. The evaluation of this program revealed challenges such as limited time and medical personnel, but it still had a positive impact on improving the quality of education and health in the local community

The increasing vulnerabilities of modern enterprise network security systems highlight the necessity of adopting a more comprehensive and adaptive security approach than traditional VPN infrastructures. This study explores the design and implementation of Zero Trust Network Access (ZTNA) using the Cloudflare platform at PT FHI, focusing on addressing the weaknesses caused by uncontrolled remote access and legacy security models. The research adopts an experimental methodology based on the Network Development Life Cycle (NDLC), which includes systematic phases such as needs analysis, architectural design, system implementation, testing, and performance evaluation. Data were collected through structured interviews with IT managers and security specialists, direct observation of network logs, and comprehensive testing involving three different categories of end users. The findings demonstrate significant improvements in role-based access control, granular authentication, and the elimination of unrestricted access to internal resources. Additionally, real-time monitoring and alerting features available through the Cloudflare dashboard enhance visibility and responsiveness to potential threats. The implemented system successfully applies the “never trust, always verify” principle by blocking unauthorized access attempts, enforcing continuous validation, and producing detailed audit logs. Performance evaluation results confirm stable connections, acceptable latency for critical business applications, and an overall improvement in network security posture while maintaining operational productivity across departments..

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

Bullying is a recurring issue and has become a widespread concern, particularly among children and adolescents in school environments. Schools, which should ideally be safe spaces for learning, building friendships, and experiencing personal growth, often turn into places of fear and psychological distress for some students. This is largely due to the frequent violation of human rights (HR) that often goes unaddressed or is underestimated. Bullying can take many forms, including verbal, psychological, physical abuse, and increasingly, cyberbullying. Each of these forms can cause serious harm not only to the victims—who may suffer from emotional and mental trauma—but also to the perpetrators, who may experience long-term psychological consequences and develop deviant or aggressive behavior patterns. In Indonesia, bullying remains a significant issue and a major concern in the education sector. Nearly every school has faced incidents of bullying in one form or another. Cyberbullying, in particular, is harder to monitor and control since it often occurs outside the school’s jurisdiction and is carried out through social media platforms. Efforts to tackle bullying must go beyond merely protecting and supporting the victims. A comprehensive approach is necessary, one that also focuses on preventive education. Students, teachers, and parents must be consistently educated on the negative impacts of bullying, the importance of empathy, and a deeper understanding of human rights. Moreover, strict and clear sanctions must be imposed on perpetrators as a form of legal enforcement and deterrence. With a holistic strategy that involves all elements of the school and the wider community, it is hoped that educational institutions can truly become safe, inclusive, and supportive environments. Such conditions are essential for fostering not only academic growth but also the psychological well-being and character development of the nation's children.

This research is motivated by the high intensity of activity in the apron area, the limited number of personnel, and the implementation of a shift work system in the Apron Movement Control (AMC) unit at Halim Perdanakusuma Airport. These conditions have the potential to cause excessive workloads for personnel, which can impact the effectiveness of operational supervision and disrupt their physical and mental health. The main objective of this study is to analyze the workload of AMC personnel and determine the ideal number of workers to ensure optimal supervision in the apron area. This study uses a quantitative descriptive approach. Data collection techniques were carried out through direct observation and the distribution of questionnaires to all personnel activities in the AMC unit. Data analysis used the Full Time Equivalent (FTE) method to calculate the total actual working time required, and compared it with the standard full-time working hours according to employment regulations. The results showed that the workload of AMC personnel is quite high. Of the seven personnel analyzed, two people obtained an FTE value above 1.28, indicating an overload condition, four people were in the FTE range of 1.00 to 1.28, which is considered normal, and one person had an FTE value below 1.00, indicating an underload condition. These findings indicate an imbalance in the distribution of workload among personnel. As a result, some personnel must perform multiple tasks simultaneously, potentially compromising the quality of oversight and operational safety in the apron area. Based on these findings, a re-evaluation of the division of tasks and workforce within the AMC unit is recommended to create a proportional workload and support optimal safety and operational performance at Halim Perdanakusuma Airport.

The betel nut (Areca catechu) is a tropical plant that thrives in Southeast Asia, including Indonesia. This plant has long been known in traditional medicine and local culture for its content of various beneficial active compounds. One form of its utilization that has rarely been scientifically studied is fresh betel nut juice. Therefore, this study aims to conduct a preliminary assessment of the characteristics of fresh betel nut juice, particularly from a physical, chemical, and microbiological perspective. The juice production process is carried out simply by squeezing fresh betel nuts without the addition of chemicals or heating. Based on initial observations, the betel nut juice exhibits a distinctive reddish-brown color and a sharp, pungent aroma. This color and aroma likely originate from the phenolic and alkaloid compounds naturally present in the betel nut. pH measurements indicate that the juice has a fairly high acidity level, which can affect the stability of microorganisms within it. Qualitative tests of the chemical composition of the betel nut juice indicate the presence of bioactive compounds, particularly tannins and alkaloids. Tannins are known to have antimicrobial activity, while alkaloids act as physiologically active compounds that can affect the nervous system. However, the presence of these compounds does not completely inhibit the growth of microorganisms. Through simple isolation of microorganisms from the fresh juice, bacteria from the genus Lactobacillus spp., which are typically associated with natural fermentation processes, were found. The presence of these bacteria indicates that fresh areca nut juice can be a potential growth medium for certain microorganisms, particularly lactic acid bacteria. This finding opens up opportunities for further research into the use of areca nut juice as a natural fermentation agent that may have functional and probiotic value.

Cell-based therapy is an innovative approach currently experiencing rapid development in the biomedical field, particularly in the areas of immunotherapy and gene therapy. This approach utilizes living cells, such as genetically modified T cells, to recognize and destroy abnormal cells such as cancer cells or cells with genetic mutations. The development of gene engineering technologies, such as CRISPR/Cas9, has enabled scientists to precisely edit damaged genes, thereby repairing or restoring normal cell function. This study aims to examine recent advances in cell-based therapy, focusing on cell modification techniques, the efficiency of the immune system in targeting cancer cells, and the integration of gene therapy technology and immune cells. Furthermore, this study also identifies several challenges that remain, including the risk of side effects due to undesirable immune reactions, the genetic stability of the modified cells, and the long-term sustainability or viability of transplanted cells. While these challenges remain serious concerns, several clinical studies have shown that cell-based therapy has significant potential in the treatment of difficult-to-treat diseases, such as advanced cancer and rare genetic disorders. The results of this study demonstrate that cell-based therapy not only offers a new approach to treatment but also opens the door to more personalized and precise therapies. However, for broader implementation in clinical practice, further, in-depth research is needed regarding safety, long-term efficacy, and strict regulation. This research is expected to make a significant contribution to the development of more effective and safe future therapies.

A conductor, as a material that allows the easy flow of electric charge, plays a crucial role in various electrical and electronic applications. Understanding how elementary charges, particularly electrons, configure and move within a conductor, especially one with a square shape, is essential for analyzing and designing efficient electrical devices. This article discusses the configuration of elementary charges in a square conductor through simulations using a mechanics and electrodynamics approach, focusing on the interactions between charges to achieve a stable configuration. The simulation is conducted by placing charges randomly around the square conductor. The electro-dynamic interactions between charges cause them to arrange themselves in the most stable positions, where each charge interacts to minimize the system's energy. Although a stable configuration is achieved, fluctuations in the total system energy are still observed, approximately 1.33×10⁻³⁵ Joules. These fluctuations indicate that, despite stability, the system continues to experience dynamics that affect the overall energy. Particles at the corners of the conductor move faster than those on other sides, contributing significantly to the measured energy fluctuations. This charge configuration forms an electric field profile in the shape of a square, with the field being concentric, moving from the inside out of the conductor. This indicates that the electric field distribution is more concentrated inside and gradually decreases toward the outside. Furthermore, the distribution of particles on each side of the conductor is not uniform. There are deviations up to 4% from the expected distribution, and these fluctuations occur within a range of ±1 particle. This phenomenon provides deeper insights into the behavior of charges in a square conductor. Understanding this is important for designing electrical and electronic systems. Although the conductor reaches stability, the energy fluctuations that occur still play a role in optimizing electronic devices. The approach combining mechanics and electrodynamics is very useful for understanding the interactions between charges and electric fields, which can be applied to modern electrical technology.  

Pedada leaves (Sonneratia caseolaris), a type of mangrove plant that grows in tropical and subtropical coastal areas, have high ecological and pharmacological value. In addition to functioning as coastal protection from abrasion and seawater intrusion, this plant is also known to contain various secondary metabolite compounds such as flavonoids, tannins, saponins, and alkaloids. These compounds have been widely reported to have important biological activities, one of which is as an antimicrobial agent. This study aims to identify the effectiveness of pedada leaf ethanol extract in inhibiting the growth of pathogenic microorganisms, especially bacteria that cause infections. The extraction process was carried out using 96% ethanol solvent through the maceration method, namely soaking the material in the solvent for a certain time to optimally obtain active compounds. The obtained extract was then tested for its antimicrobial activity using the disc diffusion method against test bacteria, both Gram-positive and Gram-negative. The inhibition zone formed around the disc was measured as an indicator of the antibacterial effectiveness of the extract. The results showed that pedada leaf extract was able to produce inhibition zones with varying diameters depending on the concentration used. The higher the extract concentration, the larger the diameter of the inhibition zone formed. This indicates a positive relationship between extract concentration and its antibacterial strength. This activity is believed to originate from the ability of compounds such as flavonoids and tannins to damage bacterial cell walls or disrupt microbial metabolic processes. This study provides initial evidence that pedada leaves have potential as an environmentally friendly and sustainable source of natural antibacterials. This potential is highly relevant in efforts to develop alternative antibacterial materials based on local plants, especially amidst increasing bacterial resistance to synthetic antibiotics.