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This research aims to enhance the imperceptibility of secret messages in video steganography to prevent detection by third parties. Unlike cryptography, which focuses on securing the message content, this method seeks to conceal the very existence of the message by maintaining a visual quality nearly identical to the original video. The proposed approach utilizes an adaptive multi-bit scheme based on the Least Significant Bit (LSB) technique, which intelligently analyzes the local characteristics of each frame, including brightness, texture, and motion. This strategy allows for higher data insertion in areas with high visual tolerance while limiting bits in sensitive areas to prevent distortion. Evaluation results using PSNR and SSIM metrics indicate that while increasing message capacity (from 1-bit to 3-bit) reduces the PSNR from 51.80 dB to 39.44 dB, the method remains highly effective in preserving visual integrity. Overall, this technique proves to be more secure and superior to traditional LSB in balancing storage capacity with high-quality video output.

Steganography is a technique for hiding secret data within digital media such as images, audio, and video without causing noticeable visual changes. In video media, this technique offers advantages because each frame can be utilized dynamically, resulting in a larger data embedding capacity. However, conventional methods such as fixed-number Least Significant Bit (LSB) embedding still face limitations in balancing visual quality, embedding capacity, and resistance to compression or noise. To address these challenges, this study proposes an Adaptive Video Steganography Method based on Multi-Bit LSB that employs brightness, texture, and motion analysis for each frame to determine the number of embedding bits adaptively. The system adjusts the embedding capacity according to the local characteristics of the video: areas with high texture or rapid motion are assigned more bits, while static or low-texture areas use fewer bits to preserve visual quality. After the embedding process, the video quality is evaluated using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index Measurement) to assess its similarity to the original video. Experimental results show a PSNR value of 45.86 dB and an SSIM value of 0.9441, Thus, the proposed adaptive method proves to be efficient, robust against disturbances, and capable of maintaining data security without compromising visual quality, making it highly suitable for implementation in multimedia-based information security systems.

Steganography is a method to hide confidential messages in digital media so that they are not detected by unauthorized parties. Unlike cryptography which protects the content of messages through encryption, steganography hides the message itself. One popular technique is the Least Significant Bit (LSB), which replaces the least important bit on the pixel with a secret message bit. However, conventional LSB methods such as 1-bit or 3-bit have limitations due to the compromise between insertion capacity and visual quality of the media. This study proposes an LSB-based video steganography method with an adaptive multi-bit embedding approach. This technique determines the number and position of bits that are dynamically inserted based on the local brightness and texture levels of each video frame, with Laplacian operators used to analyze both high and low textured areas. The process includes frame and audio extraction, frame-by-frame embedding, inserted video reconstruction, and decoding using video cover references. The evaluation was carried out quantitatively using the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) metrics, as well as qualitatively through visual comparison. The results showed that the adaptive multi-bit method was able to maintain visual quality with a PSNR of 45.23 dB and SSIM of 0.9424, and increased the insertion capacity by up to 2–3 times compared to the 1-bit adaptive method. Thus, this approach effectively balances imperceptibility and insertion capacity on dynamic video steganography systems.  

This research aims to develop an E-Catalog Information System for the Library of SMPK St. Yohanes Wewewa Barat as a digital platform that provides students and teachers with fast, accurate, and efficient access to book collection information. The system is designed to replace the previous manual book search process, which often caused delays and reduced the effectiveness of library services. The development of this system applies The Model-View-Controller (MVC) method structures the system by dividing it into three distinct parts: the model, the view, and the controller, each with its own specific function resulting in a structured architecture that is easier to manage, maintain, and improve. This method was chosen because it supports modular development and provides flexibility for future system enhancements. The results of this study show that the developed e-catalog system functions properly and performs well according to the intended design. All main features, including book searching, book detail display, and book data management, operate optimally without significant issues. Moreover, the system helps improve the efficiency of library services and enhances the user experience in accessing digital book information.

Despite its cultural potential, Wetabar Village has not been supported by effective digital promotional media. Information access remains limited, and the lack of interactive promotional platforms has contributed to the low interest of tourists. Current promotional efforts rely heavily on conventional methods, resulting in decreased visitor numbers. The implementation of digital technologies such as Augmented Reality (AR) and Web-based 360° Virtual Reality Tours is considered an effective approach to increasing tourist engagement by offering immersive exploration experiences and interactive cultural content. This research aims to design and implement a web-based tourism promotion media that integrates local cultural content with AR and 360° virtual tour technologies. The development process follows the MDLC research method, utilizing the Lumi H5P platform and PHP for system implementation. The resulting system enables users to digitally explore Wetabar Village through panoramic views and interactive multimedia features. The findings show that the developed application runs smoothly on both Android devices and laptops and is capable of providing hotspot access to operate the virtual reality features. This innovation is expected to enhance tourist interest while supporting cultural preservation and promoting digital transformation within the tourism sector of West Sumba.

This study aims to develop a Student Progress Assessment Information System for PAUD Laskar Pelangi as a solution to various problems that arise in the academic data management process, which was previously carried out manually. The management of student grades, student data, class data, and subject data often encountered obstacles such as delays, recording errors, difficulty in searching for data, and inaccuracies in report preparation. To overcome these issues, a web-based information system was developed to manage all data in an integrated and more efficient manner. The system development method used the Website Development Life Cycle approach, and the application was implemented using the PHP programming language. The system is designed to enable the admin to manage student data, class data, subject data, grades, and automatically generate student grade reports. Database implementation was carried out to ensure that data is stored properly and can be accessed easily. Functional testing was conducted to ensure that all features operate according to user needs. The results of the study show that the developed information system is capable of improving administrative efficiency, accelerating the grade processing workflow, minimizing recording errors, and generating student grade reports quickly and accurately. Therefore, this system provides significant benefits for PAUD Laskar Pelangi in improving the effectiveness of academic administrative management and can be further developed according to the school's needs.

This study aims to develop a student learning progress monitoring system designed to assist teachers and parents in tracking students’ academic performance at SMP Negeri 2 Loura. The main issue identified in the school is that academic information is still distributed using manual procedures, which results in delays and limited transparency regarding students’ learning progress. To address this problem, the system was developed using the Model View Controller (MVC) architecture and the Waterfall approach to system development, which consists of several sequential phases such as analyzing requirements, designing the system, implementing the solution, conducting tests, and performing ongoing maintenance. The findings of this research show that the system that has been created is capable of presenting academic information in a complete and structured manner, including assignment scores, daily tests, and semester examinations. The system provides faster and easier access for teachers to input grades and for parents to monitor their children’s academic development in real time. Functional testing shows that all features operate correctly according to user needs, with no errors found during system operation.

Early detection of child growth and development is a crucial effort to prevent developmental delays and health problems in children. Family involvement plays a significant role because the family is the closest environment to the child and has continuous interaction in daily life. This study aims to analyze the effectiveness of a family education program in improving parents’ knowledge and skills in detecting child growth and development. The research employed a quantitative approach with a quasi-experimental design using a pretest–posttest method. The population consisted of families with children aged 0–6 years, with samples selected using purposive sampling techniques. Data were collected through questionnaires and observation sheets measuring parents’ knowledge, attitudes, and skills related to growth and developmental detection. Data analysis was conducted using paired sample t-tests. The results showed a significant increase in parents’ knowledge and skills after participating in the family education program. The findings indicate that structured and continuous family education can enhance parents’ ability to monitor child growth and development independently. This study implies that family-based education programs can be integrated into community health services as a preventive strategy to improve child health outcomes.

The development of information technology requires service companies to improve the effectiveness and quality of their services, including in the field of electrical installation services. CV Givas Jaya Sentosa still faces problems in managing orders, customer data, and technician scheduling, which are done manually, resulting in inefficiency. This study aims to design and build a web-based electrical installation service provider information system using the Object Oriented Analysis and Design (OOAD) method. The research method used is qualitative with a research and development (R&D) approach, through data collection techniques such as observation, interviews, and documentation. The system is designed using Unified Modeling Language (UML) modeling and implemented as a web application. The results of the study show that the system is able to simplify the service ordering process, improve service and technician data management, and help monitor work status in an integrated and real-time manner. Thus, this information system can improve operational efficiency and service quality at CV Givas Jaya Sentosa.

Vitro Fertilization (IVF) technology is a biotechnological innovation that helps infertile couples conceive. However, the application of this technology has raised ethical debates regarding the nature of life, human dignity, and the moral boundaries of artificial reproduction. This article aims to examine the practice of IVF through an ethical deontology perspective, a moral approach that emphasizes obligations, principles, and respect for human beings as ends, not means. The research method used is a literature review with a descriptive-analytical approach to bioethics and moral philosophy literature. The results of the study indicate that based on deontological ethics, the application of IVF can be considered moral if it respects human dignity, does not treat embryos as mere objects, and is carried out with intentions that are in accordance with human moral obligations.

Perkembangan kecerdasan buatan (AI) mendorong inovasi dalam analisis keuangan, termasuk prediksi harga saham yang fluktuatif. Penelitian ini bertujuan memprediksi harga saham PT Garudafood Putra Putri Jaya Tbk menggunakan model ARIMA dengan penanganan Outlier sebagai pendekatan awal menuju sistem prediksi yang lebih adaptif. Data harga penutupan harian dari Yahoo Finance dianalisis melalui uji stasioneritas, identifikasi model ARIMA, deteksi Outlier berbasis log-return, serta evaluasi performa menggunakan RMSE, MAE, dan MAPE. Hasil penelitian menunjukkan bahwa ARIMA Outlier memberikan performa lebih baik dibandingkan ARIMA dasar. ARIMA standar menghasilkan MAPE 1.32% dan AIC –899.46, sedangkan ARIMA dengan tiga dummy Outlier mencapai MAPE 1.16% dan AIC –900.37. Peramalan 14 hari ke depan menunjukkan pola yang stabil pada kisaran Rp 370–371. Pada data uji, ARIMA dasar memberikan akurasi terbaik pada pertengahan Agustus, sedangkan ARIMA Outlier mencapai akurasi tertinggi pada akhir Agustus dengan prediksi Rp 370.2 yang sangat dekat dengan harga aktual Rp 370.4. Hasil ini menunjukkan bahwa penanganan Outlier meningkatkan ketepatan model, sehingga ARIMA Outlier dapat digunakan sebagai fondasi awal menuju pengembangan sistem prediksi keuangan berbasis AI.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.

Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product graph using an inverse-support function, and an MST is then extracted to represent the market backbone, while frequent itemsets and strong rules are obtained using Apriori. Experimental results on 236 multi-item transactions show that the MST backbone comprises 10 products and 9 fundamental links, with 66.67% of these links being confirmed by strong association rules, indicating a substantial coherence between statistical and structural evidence. The proposed model identifies 41 Apriori patterns that can be embedded in the MST and ranks them using a new metric, Structural Distance, which enables the categorization of Core Patterns, Bridge Patterns, and Complex Patterns according to their structural tightness. This hybrid perspective distinguishes dense, strategically meaningful bundles from anomalous but frequent combinations that are structurally peripheral, thereby offering a more holistic and actionable alternative to conventional Market Basket Analysis. The validated framework can support various applications, including store layout optimization, cross-selling strategies, and the design of path-based recommender systems, and it opens avenues for future extensions based on dynamic graphs and Graph Neural Networks.

The development of national character is a strategic agenda in addressing moral, social, and cultural challenges in the era of globalization. Strengthening fundamental values derived from Islamic teachings is considered an important solution, particularly the values of obedience to Allah SWT, the spirit of competing in goodness (fastabiqul khairat), and work ethic. These three values play a crucial role in shaping individuals who are faithful, possess noble character, are responsible, and have high competitiveness. However, the reinforcement of these values in the practice of Islamic Religious Education (PAI) at the elementary, junior high, and senior high school levels has not yet been optimally and systematically integrated. Therefore, this article aims to analyze the concepts, urgency, and strategies for integrating the values of obedience, competition in goodness, and work ethic into PAI learning. The research method employed is a literature study using a qualitative-descriptive approach through the analysis of scientific literature, curriculum documents, and relevant concepts of Islamic education. The findings indicate that the value of obedience serves as a spiritual and moral foundation for students, the value of fastabiqul khairat encourages active, collaborative attitudes oriented toward positive contributions, while work ethic strengthens discipline, responsibility, and productivity. The integration of these three values can be implemented through the development of teaching materials, the application of contextual learning methods, educators’ role modeling, and the cultivation of a religious school culture. The implications of this study affirm that integrating these values into PAI significantly contributes to the formation of a young generation with integrity and readiness to build a dignified nation.

Dyscalculia is a difficulty in learning mathematics that is commonly experienced by elementary school students, especially in multiplication materials. Students with dyscalculia experience obstacles in understanding the concept of numbers and calculation operations, which has an impact on low learning outcomes and students' confidence in mathematics learning. This study aims to describe the difficulties of learning multiplication in dyscalculia students in grade III of MI Nurul Falah 3, as well as identify learning efforts that can help overcome these difficulties. This study used a qualitative approach with a case study design on two students who were identified as having dyscalculia. Data collection techniques include observation, diagnostic assessment, interviews with students and teachers, and analysis of learning outcomes. The results showed that students had difficulty recognizing number symbols, often flipped numbers, and were not able to complete simple multiplication independently. Concrete learning using the "Multiplication Smart Wallet" media has been proven to help students understand the concept of multiplication, increase learning motivation, and reduce anxiety about mathematics. Thus, the use of concrete media is considered effective in supporting more inclusive mathematics learning for dyscalculia students.

Inclusive education requires a comprehensive understanding of the characteristics and learning needs of students with special needs, particularly children with autism spectrum disorders. Assessment plays a crucial role as an initial step in identifying abilities, challenges, and educational needs to design appropriate learning interventions. This study aims to describe the results of developmental assessment of a child with autism in an inclusive education setting at SKH 01 Nurbayan Grade 5. This research employs a descriptive approach using assessment instruments that cover five developmental domains: social interaction, communication, behavior, emotional regulation, and sensory perception. The results reveal significant difficulties in social communication, including low social interest, delayed language development, limited nonverbal communication, and the presence of repetitive behaviors. Emotional regulation remains underdeveloped, and sensory processing issues are evident. These findings indicate that children with autism require individualized, structured, and needs-based educational interventions. Therefore, assessment serves as a fundamental basis for planning effective and sustainable inclusive learning programs.

This literature study examines hydroponic solutions (urban agriculture), particularly through hydroponic methods, as a response to the issue of significant urban agricultural land shrinkage and land conversion. Data shows a drastic reduction in rice fields in Sukawati District, Bali, from 497.24 Ha in 1985 to only 211.42 Ha in 2016, accompanied by a change in the profession of residents from farmers to entrepreneurs. This land conversion not only reduces agricultural areas but also has the potential to eliminate farmers' livelihoods. The method used is a literature review (narrative review) to collect and analyze studies related to the use of hydroponics in maximizing limited land in urban areas. The results of the discussion focus on hydroponic training provided to housewives from the Family Welfare Movement (PKK) and the City Youth Organization (Karang Taruna). This training aims to empower and utilize the free time of housewives, covering materials from the basic concepts of hydroponics, seed preparation, planting, maintenance, to harvesting. Hydroponic practices have been responded to positively by residents, and the PKK/Karang Taruna group is prepared to become mentors for other members. The benefits of hydroponics were emphasized as a highly efficient cultivation method, capable of saving up to 70-90% of water, enabling year-round food production, and providing faster and higher plant growth and yields. The outcome of this activity was the establishment of a communal hydroponic garden and each member's plan to grow hydroponically independently, demonstrating the success of hydroponics as a real solution to improving food security and sustainability in dense urban environments.

Concurrent stunting and overweight/obesity (CSO) in adolescents represents a complex form of the double burden of malnutrition, characterized by linear growth faltering coexisting with excess body fat. This condition poses significant metabolic, cognitive, and reproductive risks that may affect long-term health and productivity. This review employs a narrative literature approach by synthesizing evidence from PubMed, Scopus, Web of Science, Google Scholar, and national journal portals. Included literature comprises studies assessing stunting, overweight/obesity, metabolic risk, cognitive function, and reproductive health among adolescents. Indonesian evidence (Harits et al., 2024) indicates that obese adolescents with a history of stunting exhibit a higher prevalence of metabolic syndrome (18.75%), greater abdominal adiposity, and elevated systolic blood pressure compared to non-stunted obese peers. Biologically, stunting impairs neurocognitive development and reduces muscle mass, while obesity promotes metabolic inflammation; the coexistence of these factors may reduce physical fitness, learning capacity, and overall productivity. CSO also affects reproductive health, including increased risks of ovulatory dysfunction, delayed sexual maturation, and intergenerational nutritional disadvantages. Although linear growth recovery is limited due to epiphyseal closure, functional recovery through improved diet quality and physical activity remains possible. In conclusion, adolescents with CSO experience greater metabolic, cognitive, and reproductive vulnerabilities than those affected by stunting or obesity alone. Interventions emphasizing metabolic function, diet quality, physical fitness, and reproductive health preparation are essential to prevent long-term consequences and break the intergenerational cycle of malnutrition. Further national research is required to map the prevalence and implications of CSO comprehensively.

A high-risk pregnancy is a pregnancy that can affect both the pregnancy, delivery, newborn, and postpartum period. There are several high-risk pregnancies, including pregnant women who are <145cm tall, have low birth weight, are too young, and give birth too closely spaced, or what is known as the 4T. Prevention is carried out by conducting comprehensive supervision, this is a way to reduce MMR and IMR. The Central Java government has developed the One Student One Client (OSOC) program, it is hoped that the implementation of this program can reduce MMR in Central Java. MMR according to WHO in 2023 reached 189/100,000 live births, MMR based on ASEAN reached 235/100,000 live births, MMR according to the Indonesian Ministry of Health reached 205/100,000 live births, MMR in Central Java in 2023 has reached 485/100,000 live births, MMR in Brebes in 2023 54/100,000 live births and at the Bantarkawung Community Health Center MMR in 2023 amounted to 2 cases of maternal death. In this study, researchers used Varney and SOAP to document midwifery care comprehensively, with direct qualitative descriptive approach methods such as observation, interviews, and documentation.

This article discusses community service aimed at improving students' mathematical understanding at MI Nurul Mun'im through learning assistance assisted by the Astromath game. The main problem faced is low student motivation and understanding in mathematics, caused by less engaging learning methods. The purpose of this activity is to provide a solution by using innovative educational technology, specifically the Astromath game, which is designed to develop students' mathematical abilities in an interactive and fun way. The method used in this community service is a direct mentoring approach that involves students in game-assisted learning sessions, with mentoring from lecturers and students. This activity was carried out over several meetings involving the direct use of the Astromath game in class. The results obtained showed an increase in student understanding of mathematics material, especially in terms of basic arithmetic operations, as well as a significant increase in learning motivation. This is indicated by an increase in the average pre-test score from 58.8 to 88.9 average post-test score. In addition, students were also more active and interested in participating in mathematics lessons after being involved in learning sessions using this game. The use of the Astromath game has proven effective in making mathematics learning more interesting and improving student learning outcomes at MI Nurul Mun'im.