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In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

Digital transformation (DT) has become a critical component for organizations aiming to enhance their operational efficiency, innovation, and competitiveness. However, many organizations struggle to achieve successful digital transformation due to the misalignment between their Enterprise Information Systems (EIS) and organizational strategic goals. This research seeks to design and validate a model for aligning EIS with digital transformation strategies to improve organizational effectiveness. By adopting the Design Science Research (DSR) approach, this study develops a practical model that integrates strategic planning, process management methodologies, and emerging technologies to facilitate alignment between IT and business strategies. The research includes key steps such as requirement analysis, artifact design, expert validation, and case study evaluation to ensure the model's robustness and applicability across different organizational contexts. Findings indicate that the proposed model significantly improves strategic-system alignment, enhances decision-making consistency, and facilitates better integration between business and IT units. The model also addresses common challenges such as resistance to change, skill gaps, and misalignment, fostering a supportive culture for digital transformation. In comparison to existing descriptive frameworks, the proposed model is more structured, adaptable, and actionable, providing organizations with a clear framework to guide their digital transformation efforts. This research contributes to the growing body of knowledge on EIS alignment and offers practical insights for organizations seeking to achieve successful digital transformation. Future research could explore the model's application in various organizational settings and examine its impact on long-term organizational growth and innovation.

Brebes Regency is one of the main national centers of shallot production in Indonesia, where agricultural land dynamics play a crucial role in sustaining production performance. Rapid infrastructure development and land-use change have raised concerns regarding the sustainability of shallot cultivation areas. This study aims to analyze spatial–temporal changes in shallot cultivated area and production in Brebes Regency during 2023–2024 and to examine the relationship between land area changes and production levels at the sub-district scale. A descriptive quantitative approach based on spatial analysis was employed using Geographic Information Systems (GIS). Spatial data consisted of administrative boundary maps, while non-spatial data included shallot cultivated area and production data obtained from the Brebes Regency Office of Agriculture and Food Security. Data integration and analysis were conducted using QGIS through attribute joining and inter-annual comparison. The results indicate that total shallot cultivated area increased from 26,331 ha in 2023 to 28,628 ha in 2024, accompanied by a significant rise in production from 289,942.05 tons to 409,106.90 tons. Spatial analysis reveals that major production centers remain concentrated in the central and northern sub-districts, particularly Wanasari, Larangan, Bulakamba, and Tanjung. Although a positive relationship between land expansion and production increase is evident, variations among sub-districts suggest that productivity and local conditions also play important roles. The findings highlight the effectiveness of GIS-based analysis in supporting spatially informed agricultural land management and policy formulation.

The increasing demand for infrastructure necessitates the construction of reliable bridges with long service lives to ensure smooth mobility. This research focuses on the Griya Lingga Permai Bridge over the Asam River in Jambi City, which is scheduled for widening as part of the Asam River Revitalization program aimed at flood mitigation. Although the project faces delays due to land acquisition constraints, this postponement is leveraged as a strategic opportunity to conduct a design review of the planned bridge superstructure.The bridge is designed using a reinforced concrete "T" beam girder structure. This study aims to perform a design review of the planned superstructure. This review includes the verification of calculations, structural dimensions, and a comparison of reinforcement calculation results, which are crucial for ensuring the future safety and reliability of the bridge against design loads. To support the validation and analysis process, the research utilizes STAAD.Pro software to obtain more accurate and detailed data regarding structural capacity. The results of this study will provide solid technical recommendations for the continuation of the construction project.

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.  

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

. Corruption is an extraordinary crime that has a systemic impact on economic stability, governance and the protection of human rights. Indonesia and Singapore show significant differences in the effectiveness of corruption eradication, despite both applying the rule of law principle. Indonesia established the Corruption Eradication Commission (KPK) through Law Number 30 of 2002 jo. Law No. 19/2019 as an independent institution with powers to investigate and prosecute, but its effectiveness has been weakened by political interference, regulatory revisions, and bureaucratic obstacles. Singapore, on the other hand, relies on the Corrupt Practices Investigation (CPIB) under the Prevention of Corruption Act 1960, which has historical legitimacy, stable political support, and consistent regulations. This difference in effectiveness is reflected in the 2024 Corruption Perception Index, where Indonesia ranks 99th with a score of 37/100, while Singapore ranks 3rd with a score of 84/100. Although the KPK normatively has broader authority, 2024, where Indonesia ranked 99th with a score of 37/100, while Singapore ranked 3rd with a score of 84/100. Although the KPK normatively has broader authority, empirical results show that the success of corruption eradication is determined by institutional integrity, regulatory consistency, and structural independence. This research uses a normative juridical method with a literature study approach and deductive thinking method to analyze the legal basis, and implementation of the two institutions. The results of this study found that the differences between the anti-corruption institutions of the two countries do not merely depend on legal instruments, but on political structure, organizational culture, and institutional commitment in upholding integrity. It is expected to provide normative recommendations to strengthen Indonesia's anti-corruption institution, namely the KPK, through structural, regulative, and institutional reforms

This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.

In the 21st century learning era that demands the integration of 4C skills and digital literacy, the textbook Akidah Akhlak Class IV MI based on the 2019 KMA 183 Curriculum needs to be evaluated for its suitability to be relevant in shaping students' Islamic character. This study aims to analyze the suitability of the book's content, presentation, language, and graphics according to BSNP standards, with a focus on the strengths of active learning and the weaknesses of technology integration such as QR codes and science-technology interconnections. The descriptive qualitative method through library research uses the 2020 Kemenag textbook by Subkhiaton Noor as primary data, supported by BSNP instruments and comparisons with other books. The results show that the book is very suitable overall: very good content suitability (accurate material, relevant KI-KD, supports 4C through discussion and reflection), good presentation (systematic structure, HOTS-LOTS, glossary), good language (communicative, appropriate to students' cognition), graphics pass with minor improvements in visual consistency, so it is effective for contextual learning even though it needs additional digital features.

This study aims to analyze the comparison of the durability of natural fiber and synthetic fiber composites in a high-temperature production environment. Testing was conducted on carbon fiber, aramid (synthetic), ramie, and jute (natural) fiber-based composites with exposure to temperatures of 80-150°C for 500 hours. The parameters measured include tensile strength, elastic modulus, dimensional stability, morphological changes, and moisture absorption. The research results show that synthetic fiber composites have superior durability compared to natural fibers. Carbon fiber composites retain 87% of their initial tensile strength with only a 4.2% reduction in modulus, while flax fibers only retain 62% strength with a 26% reduction in modulus. Microscopic analysis revealed significant delamination in natural fiber composites with interface gaps of 15-25 μm, compared to 3-5 μm in synthetic fibers. Natural fibers undergo thermal degradation due to the decomposition of lignin and hemicellulose, resulting in significant color changes and a dimensional shrinkage of 3.2%. The moisture absorption of natural fibers increases to 8.5% after exposure, indicating damage to the cellular structure. This research concludes that synthetic fiber composites are more suitable for long-term high-temperature production applications, but natural fibers can still be considered for low-temperature applications with appropriate chemical modification.

This study analyzes a 10-floor multi-story lecture building in Lombok, focusing on the impact of concrete quality degradation on the building's performance. Due to limited material access, the actual on-site concrete quality changed from the design quality of fc 30 MPa to fc 24.9 MPa. The building structure was modeled in 3D using ETABS v22 software, and two structural models were compared: one with the design concrete quality (fc' 30 MPa) and one with the actual quality (fc' 24.9 MPa). The analysis evaluated dynamic performance, inelastic displacements, P-Delta effects, and reinforcement requirements. The comparison aimed to assess the impact of concrete degradation on structural stiffness, inter-story displacements, and reinforcement needs. The results show that concrete quality deterioration increases the structure's vibration period, inelastic displacement, and lateral forces due to P-Delta effects. While beam reinforcement requirements remain mostly unchanged, column reinforcement significantly increases, especially in columns with large axial forces. This study provides valuable insights into the technical consequences of concrete quality degradation and serves as a reference for evaluating structural redesigns in projects facing material limitations.

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.

Work volume calculations are essential for project cost estimation. Many projects, such as the Laboratory Building of the Faculty Engineering at Tanjungpura University, calculate work volumes conventionally. Conventional calculation considered less efficient and prone to errors. Building Information Modeling (BIM) provides a solution that produces more accurate and efficient calculations than conventional methods. This research aims to compare structural work volume results produced by BIM using Autodesk Revit against conventional methods and project’s BOQ. This research also describes the benefits and challenges of BIM implementation based on the researcher’s experience applying BIM with Autodesk Revit in work volume calculation. The comparison between BIM and conventional method shows a maximum difference of 2% across all work items. Meanwhile, the comparison between BIM and the BOQ shows significant differences: 81% in column formwork area, 24% in grade beam/beam concrete volume, 25% in column reinforcement weight, 25% in steel beam weight, and 10% in the steel plate weight. This research proves that BIM implementation produces more accurate and efficient calculations and serves as an effective BOQ cross-check tool. Based on the researcher’s experience in implementing BIM with Autodesk Revit, challenges found in procurement aspects, modeling aspects, and model dependency on reference drawings.    

This research explores the development of a participatory governance model for community based waste management systems, aiming to enhance both legal compliance and public social welfare outcomes. Community based waste management (CBWM) plays a critical role in addressing environmental and health challenges, yet its success is often hindered by weak governance structures, limited community involvement, and insufficient regulatory frameworks. The study introduces a governance model that integrates local community participation into decision making processes, encouraging ownership and responsibility among residents. The primary goal is to improve compliance with environmental regulations while promoting social welfare by fostering better public health and community cohesion. A review of literature highlights key theories of participatory governance, focusing on its ability to enhance legal adherence and increase social equity. Previous studies on CBWM demonstrate the potential of community involvement in overcoming barriers to legal compliance, such as weak enforcement and fragmented governance. However, challenges like inadequate infrastructure, socio economic factors, and cultural habits still impede full participation and compliance. The study utilizes a mixed methods approach, including stakeholder analysis, participatory workshops, and regulatory compliance assessments, to evaluate the effectiveness of the model. The results show that communities involved in participatory governance exhibit higher compliance with waste management laws, improved sanitation, and healthier living conditions. Furthermore, the model fosters social capital and community empowerment, contributing to long term sustainability. In comparison to centralized waste management systems, the participatory approach is found to be more adaptable, accountable, and socially accepted. While the model presents several benefits, challenges such as infrastructure limitations and cultural barriers remain. Future research should further investigate how to address these challenges, particularly through technological integration and cross sector collaborations, to ensure the scalability and sustainability of the participatory governance model.

Bullying in secondary schools is a serious issue that affects students’ psychosocial well-being and academic achievement, and significantly disrupts the learning climate and the quality of social relationships among students. This community service activity aimed to implement the Child-Friendly School Program through anti-bullying socialization at SMA N 1 Kersana in order to enhance the understanding and commitment of all school members in creating a safe, inclusive, and sustainable learning environment. The method employed a participatory approach, including needs assessment, interactive socialization sessions, focus group discussions, case simulations, and structured evaluation using pre-test and post-test instruments. The results indicated a 23% increase in participants’ understanding based on the comparison of scores before and after the intensive implementation of the program. Furthermore, a “Bullying-Free School” declaration was established along with a plan to strengthen the Violence Prevention and Handling Team as a more systematic sustainability strategy. These findings confirm that participatory-based socialization effectively reinforces the implementation of the Child-Friendly School Program and fosters a safe, inclusive, sustainable, and responsive school culture that supports students’ positive character development.

Pain is a prevalent issue frequently seen by pregnant women in their third trimester, attributable to physiological, biomechanical, and psychological alterations during gestation. Non-pharmacological pain management is essential as a secure alternative to enhance the comfort of pregnant women. Perinatal Yoga and Relaxation Techniques are two commonly endorsed non-pharmacological therapies; yet, comparative analyses of their efficacy remain scarce, particularly within primary health care settings. This study is to evaluate the efficacy of Perinatal Yoga against Relaxation Techniques in alleviating pain among pregnant women in their third trimester at the Bongo II Community Health Centre. The research employed a quasi-experimental design with a two-group pretest-posttest methodology. The sample comprised 38 pregnant women in their third trimester, categorized into two groups: 19 participants in the Perinatal Yoga group and 19 participants in the Relaxation Techniques group. The Numeric Rating Scale (NRS) was utilized to assess pain severity prior to and following the intervention. A paired t-test was utilized for intra-group differences, whereas an independent t-test was employed to assess inter-group efficacy.The findings indicated that both Perinatal Yoga and Relaxation Techniques markedly diminished pain intensity in pregnant women throughout their third trimester (p<0.001). The decrease in pain in the Perinatal Yoga group was statistically significant compared to the Relaxation Technique group (p<0.05). This study concludes that Perinatal Yoga is superior than Relaxation Techniques in alleviating pain in pregnant women during their third trimester. Perinatal Yoga is indicated as an effective and practical non-pharmacological technique in antenatal treatment inside primary health facilities.

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.

This study discusses the comparison of traditional and modern management accounting methods with the aim of analyzing the characteristics, advantages, and disadvantages of each method and providing practical guidance for corporate decision-making. The research method uses a literature review approach, collecting and synthesizing various recent studies related to Activity Based Costing (ABC), Target Costing, and Balanced Scorecard (BSC), and comparing them with traditional methods such as job order costing and process costing. The analysis results show that traditional methods are simpler and easier to implement, but less accurate in calculating costs and less relevant for strategic decision-making. In contrast, modern methods offer higher accuracy through detailed cost allocation, comprehensive performance monitoring, and data-based decision-making support, although they require greater implementation complexity and resources. This study concludes that the choice of method must be adjusted to the characteristics of the company and the complexity of business activities, so as to optimally improve cost efficiency and profitability.

Background: Criminal justice reform has become a crucial global issue in maintaining the balance between the protection of individual rights and state authority, particularly amid the increasing complexity of law enforcement and the risk of abuse of power. Objective: This study aims to analyze the relationship between the principles of due process of law, legal accountability, and the rule of law within criminal justice systems, as well as to compare their implementation in common law and civil law systems. Methods: This research employs a normative and comparative approach through the analysis of legal regulations, criminal justice practices, case studies of procedural violations, and cross-country comparisons, supported by interviews with academics and legal practitioners. Results: The findings indicate that although the principles of due process, legal accountability, and the rule of law are widely recognized, their implementation still faces significant challenges, including weak oversight, procedural inconsistencies, and limited institutional capacity. The comparative analysis also reveals a growing convergence between common law and civil law systems in adopting human rights-based standards, despite differences in procedural approaches. This study concludes that the holistic integration of these three principles is essential to establish a fair, transparent, and accountable criminal justice system.

Soil contamination by hydrocarbons, pesticides, heavy metals, and complex pollutants is rapidly increasing and degrading essential ecosystem functions. Physical or chemical treatments offer faster results, yet they are often costly, energy-intensive, and risk disrupting soil biological integrity without fully eliminating pollution sources. Microorganism-based bioremediation provides a more sustainable alternative by utilizing microbial metabolism to degrade or immobilize pollutants into less toxic and less mobile forms. This article presents a structured literature review on the roles and applications of microorganisms for bioremediation of contaminated soils, covering comparisons between single isolates and microbial consortia, dominant biological mechanisms, and ecological challenges in field application. A Systematic Literature Review approach was applied, using narrative synthesis and thematic clustering of national and international journals published between 2020 and 2025. The review indicates that single microbial isolates are commonly selected for specific pollutant targets, whereas microbial consortia are preferred for mixed or persistent contaminants due to metabolic synergy that enhances microbial adaptability and stepwise pollutant breakdown in highly polluted soils. Adaptive mechanisms such as EPS production and biofilm formation contribute to microbial resilience under stress and help retain contaminants within the soil matrix. Key challenges identified include inoculum stability under extreme conditions and limited microbial access to pollutants trapped in micro-soil pores. The findings highlight that microbial selection strategies must be tailored to pollutant characteristics and soil environmental conditions, while also emphasizing the potential of biofilm-based systems and organic carriers to support broader field implementation of microbial bioremediation.