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Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

Education is the main driver of a nation's progress, which is not only related to intellectual intelligence, but also the formation of student character. Unfortunately, currently the world of education is facing serious problems, such as declining interest in learning and increasingly complex external factors in the digital era. This study aims to explore in depth the impact of learning motivation on student academic achievement, identifying obstacles that hinder this achievement. The method used in the current study is a literature study with a qualitative approach. Data were collected through theoretical studies and analysis of various relevant scientific sources, including research journals and textbooks, which were then combined to develop a comprehensive argument. The findings of this study indicate that learning motivation is the main factor that encourages student persistence and consistency in achieving the best learning. Academic success is defined as the result of a complex interaction between internal and external factors, where the existence of a supporting ecosystem such as good learning facilities, a supportive environment, and effective communication between lecturers and students plays a very important role. On the other hand, phenomena such as digital fatigue, low independence, and excessive workload are identified as significant barriers that can reduce academic performance. This analysis concludes that there is synergy in strengthening psychological aspects and creating an adaptable learning environment to maintain the stability of academic achievement amidst global demands.

Chili pepper (Capsicum annuum L.) is recognized as one of the horticultural commodities with significant economic value and an important contribution to food security in Indonesia. However, conventional cultivation practices still face various challenges, including limited land availability, climate uncertainty, and disturbances from plant pests and diseases. These conditions highlight the need for the implementation of innovative technologies to improve production efficiency while maintaining yield stability. One approach that has been increasingly developed is the hydroponic system, a cultivation technique that does not rely on soil as a growing medium but instead utilizes nutrient solutions as the primary source of essential elements. This article aims to examine various aspects of hydroponic chili cultivation, including the roles and benefits of the plant, different types of hydroponic systems, abiotic and biotic stress factors, and cultivation management strategies. Based on the review conducted, hydroponic systems, when supported by optimal nutrient management and environmental conditions, are capable of enhancing both the yield and quality of chili plants. Therefore, the development of hydroponic-based chili cultivation is considered to have promising prospects as a solution to support sustainable agriculture in the future.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.

In the planning of removable partial dentures (RPD), design is a crucial factor that must be tailored to each patient’s clinical condition, while one of the main challenges in RPD design is anatomical variation in the oral cavity such as torus palatinus, which may affect retention, stability, and patient comfort. This report aims to discuss the design considerations of acrylic resin RPD in patients with torus palatinus, particularly in determining optimal design modifications. A 42-year-old female patient presented with complaints of difficulty chewing due to the loss of several teeth in both the maxilla and mandible. Intraoral examination revealed missing teeth 15, 11, and 25, with healthy mucosal and periodontal conditions, and a nodular torus palatinus measuring approximately 2.5 × 2 cm was identified along the midline of the palate. RPD design planning in this case requires an individualized approach, particularly in the selection of the major connector and base adaptation to avoid pressure on the torus area, and design modifications were implemented to improve load distribution and patient comfort. The use of a U-shaped major connector with relief over the torus area effectively avoids direct contact, thereby enhancing comfort, preventing mucosal irritation, and supporting masticatory function.

This study aims to analyze the comparison of financial distress levels measured using the Current Ratio (CR) and the Altman Z-Score model and their relationship with stock returns in PT Charoen Pokphand Indonesia Tbk and PT Japfa Comfeed Indonesia Tbk during the period 2020–2025. The research method used is a quantitative approach with a comparative design, and the sampling technique applied is purposive sampling. Data analysis was conducted using descriptive statistics and multiple linear regression.The results indicate that there is no statistically significant difference between the two companies in terms of hal Likuidity (Current Ratio) dan Financial Distress (Altman Z-Score). Descriptively, CPIN has an average Current Ratio of 1.959 and a Z-Score of 3.700, while JPFA shows slightly lower values but remains within the safe zone. Furthermore, regression results reveal that liquidity and financial distress do not have a significant effect on stock returns. Both companies are classified in the safe zone, indicating a healthy financial condition and low risk of financial distress, while stock returns tend to be volatile and influenced by external factors.The study recommends that companies maintain a balance between liquidity, profitability, and capital structure to sustain financial stability. Investors are advised to consider not only financial ratios but also external factors in decision-making. Future researchers are encouraged to expand the sample size and include additional variables to obtain more comprehensive results.

Sleep duration and sleep quality are essential physiological needs that play a significant role in the emotional and behavioral development of children aged 3–6 years. Adequate sleep supports brain development, cognitive functioning, emotional regulation, and social interaction skills in early childhood. Conversely, poor sleep duration and low sleep quality may negatively affect children’s attention, mood stability, and ability to interact socially with peers and caregivers. This article is a literature review using a systematic review approach that analyzes 10 scientific articles published between 2016–2026 to evaluate the relationship between sleep duration and sleep quality with emotional and behavioral problems in preschool children. The article selection process followed the PRISMA flow diagram, with articles sourced from Google Scholar, PubMed, and ScienceDirect databases. The findings consistently indicate that inadequate sleep duration and poor sleep quality are associated with increased emotional and behavioral problems, including hyperactivity, anxiety, emotional dysregulation, and difficulties in social interaction among children. Furthermore, sleep disturbances were found to negatively influence children’s emotional self-regulation abilities, which are crucial for adaptive behavior. Therefore, ensuring adequate sleep duration and improving sleep quality are important strategies to support optimal emotional and behavioral development in preschool-aged children.

Given the important objectives that banks strive to achieve through financial stability and their role in ensuring its continuity and ability to face various economic challenges, many have expanded their policies beyond their traditional functions by adopting a range of additional practices and activities that contribute to strengthening their developmental role in society. Among the most prominent of these practices are corporate social responsibility (CSR) activities, which have become a crucial aspect of the work of contemporary financial institutions. In this context, this research highlights CSR practices in banks. It relied on a sample of nine Iraqi banks listed on the Iraq Stock Exchange, which are characterized by their continued banking operations and regular publication of their annual financial reports. The research period was set from 2014 to 2023, and included a set of statistical tests that incorporated a number of financial determinants as control variables to determine their contribution to enhancing the impact of CSR when included alongside it, and to define the nature of the relationship between the research variables. We have reached a number of conclusions, most notably that when regulatory variables are included in the analysis model, this effect becomes statistically insignificant, which indicates that banks’ interest in internal financial factors still outweighs their interest in social aspects.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

This study aims to analyze the role of online sales in maintaining the financial stability of Micro, Small, and Medium Enterprises (MSMEs) in West Sumatra, Indonesia. The increasing adoption of digital channels, such as marketplaces, social media, messaging applications, live selling, and digital payment systems, has transformed online sales into not only marketing tools but also mechanisms that may affect cash flow continuity and business sustainability. Despite their growing importance, empirical evidence regarding the contribution of online sales to MSME financial stability remains limited. This study employs a quantitative explanatory research design. The population consists of MSME owners in West Sumatra who utilize online sales, while purposive sampling was used to select respondents who had engaged in online selling for at least one year and maintained cash flow records. Data were collected from 102 respondents through a structured questionnaire using a five-point Likert scale and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings reveal that online sales have a positive and significant effect on financial stability, with a path coefficient of 0.632, a t-value of 9.214, and a p-value below 0.001. These results indicate that effective use of online sales enhances cash flow continuity, income regularity, working capital adequacy, and financial resilience. However, the benefits depend on disciplined management of digital costs, discounts, platform fees, shipping expenses, product returns, and cash flow records. This study contributes to MSME digitalization literature by highlighting online sales as a strategic instrument for strengthening financial stability rather than merely a marketing channel.

High feed costs remain a major constraint in Nile tilapia (Oreochromis niloticus) aquaculture, requiring alternative feed formulations based on local ingredients with adequate nutritional quality. This study aimed to evaluate the proximate composition of fish feed formulated from snail meal, Azolla meal, and turmeric as a phytobiotic supplement. The study used an experimental method with a Completely Randomized Design consisting of three treatments and three replications. The feed formulations were P1, consisting of 55% snail meal, 25% Azolla meal, 5% turmeric, 10% corn flour, and 5% tapioca flour; P2, consisting of 39% snail meal, 39% Azolla meal, 7% turmeric, 10% corn flour, and 5% tapioca flour; and P3, consisting of 25% snail meal, 51% Azolla meal, 9% turmeric, 10% corn flour, and 5% tapioca flour. The analyzed parameters included protein, moisture, fat, ash, crude fiber, and carbohydrate contents. Data were analyzed using analysis of variance followed by the Least Significant Difference test. The results showed that feed formulation significantly affected all proximate parameters. P3 produced the highest protein content of 43.87%, fat content of 3.68%, crude fiber of 3.11%, and carbohydrate content of 7.28%, while also producing the lowest ash content of 28.46%. Moisture content ranged from 1.11% to 1.30%, indicating good feed storage stability. These findings demonstrate that the integration of snail meal, Azolla, and turmeric can improve the nutritional quality of alternative Nile tilapia feed and support locally based sustainable aquaculture feed development.

Climate change is a global issue that not only impacts the environment but also threatens a country's food security. Indonesia, as a country that relies heavily on the agriculture, fisheries, and livestock sectors, faces high vulnerability to climate change. This study aims to analyze the impact of climate change on the agriculture, livestock, and fisheries sectors. This study used a qualitative method with a literature study approach through data analysis derived from scientific journals, books, and institutional reports. The results of the study indicate that climate change has a significant impact on these three sectors through changes in weather, rainfall patterns, and extreme weather. The El Niño phenomenon can reduce agricultural production, reduce livestock productivity, and disrupt fishermen's catches. These conditions can disrupt national food availability and stability and can increase social and economic vulnerability of the community. Therefore, climate change can be seen as a non-traditional threat to Indonesia's food security, requiring sustainable adaptation efforts to maintain food security in the future.

This research is grounded in the understanding that employees are the core of organizational sustainability, and their job satisfaction is shaped not only by daily tasks but also by the organization’s ability to manage workload and support balance between work demands and personal life. This study aims to analyze the effect of workload and work-life balance on employee job satisfaction at the Class I Correctional Center (Bapas) Makassar. Using a quantitative approach, data were collected through questionnaires distributed to 54 employees and analyzed using multiple linear regression assisted by SPSS Statistics 25. The research variables consist of workload and work-life balance as independent variables, and job satisfaction as the dependent variable. The findings indicate that workload has a positive and significant effect on job satisfaction, suggesting that employees’ perception of being able to complete tasks effectively can increase their comfort and confidence at work. Work-life balance also shows a positive and significant influence, indicating that the ability to manage both work responsibilities and personal life contributes directly to greater feelings of satisfaction, stability, and motivation in performing duties. Simultaneously, both variables significantly affect job satisfaction, emphasizing the importance for organizations to regulate workload proportionally while providing space for employees to maintain a healthy life balance. These findings highlight that effective workload management and support for work-life balance are crucial organizational investments to foster a healthy, productive, and employee-centered work environment.

This study examines the phenomenon of fatherlessness in Indonesia and its relevance to Human security. Rather than limiting the concept to the physical absence of a father, this research highlights functional fatherlessnes s, where the father is present but does not perform his roles in caregiving, emotional support, and economic responsibility. Using a qualitative approach through literature review and conceptual analysis, this study explores how disruptions in family roles can generate broader social vulnerabilities. The findings indicate that fatherlessness is closely linked to various dimensions of human security, particularly personal, economic, and community security. The absence or dysfunction of paternal roles weakens the family as the primary unit of protection, potentially affecting individual well-being, social stability, and the overall quality of human resources. Furthermore, this study finds that existing state responses tend to be reactive and have not fully addressed the issue of functional fatherlessness as a structural social concern. Therefore, this research argues that fatherlessness should be understood not merely as a private family issue, but as a non-traditional security challenge that requires comprehensive policy attention to strengthen human security in Indonesia.

The Food & Beverage industry relies heavily on the availability and quality of fresh raw materials, making inventory management crucial. This study aims to analyze the implementation of the First-In, First-Out (FIFO) method in inventory management at PT K Hospitality Investment. The research design used a case study. Data were collected through interviews, observation, and documentation, then analyzed descriptively and qualitatively to assess the implementation of the FIFO inventory method in inventory management. The results show that PT K Hospitality Investment adopts a strict chronological inventory system and issuance of goods based on the order of entry. The use of FIFO inventory is often supported by the FEFO (First-Expired, First-Out) technique. Integrated inventory control has contributed to the financial stability of PT K Hospitality Investment. When properly implemented, the FIFO method not only helps reduce waste and increase efficiency, but also supports the company's operational sustainability. Although the implementation has been successful, the company still faces challenges such as limited infrastructure, a manual recording system, sudden changes in trends or guest order volumes, and delays in supplier deliveries.

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

The optimal therapeutic impact of local vaginal drug delivery systems is strongly influenced by the physical characteristics balance of Solid Vaginal Suppositories. A comprehensive review regarding the comparison of mechanical profiles, specifically melting time and crushing strength parameters, from various base classifications constitutes the primary objective of this literature research. The implementation of a Literature Review study design was executed through the extraction of empirical data from twelve experimental journals published within the last ten years. Excessively rapid phase transformation characteristics at physiological basal temperatures and low compression resistance were consistently demonstrated by lipophilic bases such as Oleum Cacao. The risk of structural deformation during the distribution process is highly susceptible to unmodified lipid preparations. High surface elasticity accompanied by a delay in molecular hydration duration reaching 120 minutes was recorded in the utilization of Glycerinated Gelatin Base. Structural rigidity exceeding 4 kgF and disintegration time efficiency under 60 minutes were optimally demonstrated by Polyethylene Glycol (PEG) Base. An enhancement in mechanical resistance against external shocks during the storage period is offered by the thorough modification of the synthetic polymer ratios. Therefore, the determination of the PEG base as the most optimal material is recommended to maintain the quality stability of pharmaceutical products. Compendial regulation standards regarding the physical strength testing of pharmaceutical preparations must be obeyed by every institution to ensure long-term treatment effectiveness. Thus, the alignment between active substance release duration and physical preparation endurance can be realized for absolute patient comfort.

This study aims to evaluate how petty cash management practices contribute to improving operational efficiency at PT Anugerah Langgeng Berkat Abadi. This research focuses on examining the implementation of the petty cash management system, applied procedures, and its impact on the smooth execution of daily operational activities. The study employs a descriptive qualitative approach, with data collected through interviews, direct observation, and documentation during the internship period. The collected data were analyzed systematically to describe the actual condition of petty cash management within the company. The results indicate that PT Anugerah Langgeng Berkat Abadi implements a fluctuating fund system in managing petty cash. Expenditures are initially recorded manually and then re-entered into the company’s internal digital system to maintain control and accountability. Petty cash is used to finance routine and urgent operational needs, such as office stationery, transportation costs, and other short-term expenditures. The company has established standard operating procedures governing the use, recording, and accountability of petty cash. Several challenges were identified, including delays in the disbursement and reimbursement process, which may affect time efficiency. However, overall, the petty cash management system is considered effective in supporting short-term operational needs without disrupting the stability of the company’s main cash. This study concludes that systematic and well-controlled petty cash management plays an important role in the company’s cost efficiency strategy and supports daily operational activities. These findings align with strategic management principles, where appropriate financial decision-making contributes to the achievement of long-term organizational objectives.

Technological developments have brought significant changes to various aspects of human life, including church life. These changes also impact intergenerational relationships within the congregation. This paper aims to examine the challenges faced by church leaders at GEKISIA Depok in serving Generation X, Millennials, and Generation Z, and to examine the relevance of the theological principle of Romans 12:2 in addressing these challenges. Ultimately, the author observes that differences in generational characteristics influence communication patterns, ministry models, and congregational expectations of church leadership. Therefore, church leaders in the digital age are required to be adaptive, transformative, and remain rooted in biblical values. Romans 12:2 serves as an important theological foundation for Christian leaders to experience a renewed mindset so they can serve according to God's will without being influenced by worldly patterns. Furthermore, the challenge of cross-generational leadership is not merely practical in nature, but also theological. Each generation brings different experiences, values, and perspectives in understanding faith and spirituality. Generation X tends to value institutional stability and loyalty, while Millennials are more oriented toward authentic experience and community. Generation Z, having grown up entirely in the digital age, communicates and expresses faith in ways that differ greatly from previous generations. In this context, church leaders are called to become bridges between generations, rather than simply following trends or rigidly preserving tradition.

This study aims to analyze the role of teachers’ personality competence in shaping students’ learning environments through a literature review approach. Personality competence reflects teachers’ stable, mature, and authoritative character, enabling them to serve as role models for students and influencing the creation of a conducive learning environment both psychologically and socially. The method used is a literature review by analyzing various sources such as books, academic journals, and relevant official documents. The results show that teachers with positive personality traits are able to build harmonious relationships, create a comfortable classroom atmosphere, and enhance students’ learning motivation. Therefore, teachers’ personality competence is an important factor in supporting the quality of the learning environment and the success of the learning process. In addition, findings from various studies indicate that personality competence not only affects classroom interactions but also contributes to the development of students’ attitudes, discipline, and emotional stability. Teachers who demonstrate consistency, empathy, and integrity tend to foster a sense of trust and respect among students, which further strengthens classroom engagement. Moreover, a positive teacher personality helps reduce learning barriers such as anxiety, lack of confidence, and lack of participation in classroom activities. In the context of modern education, where student-centered learning is increasingly emphasized, teachers’ personality competence becomes even more essential in facilitating active learning and meaningful student involvement. Thus, strengthening teachers’ personality competence through training, reflective practice, and continuous professional development is crucial to improving overall educational quality and achieving optimal learning outcomes.