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This study investigates the development of Indonesian language literacy among third-grade elementary school students. The primary problems identified were acute classroom passivity and low reading comprehension, evidenced by an initial learning mastery of only 45.16%, which were largely driven by conventional teacher-centered pedagogy. The objective of this research is to enhance early-grade reading literacy and active participation through an innovative instructional intervention. The proposed method employed a two-cycle Classroom Action Research (CAR) design at SDN Jrebeng Kulon 1, integrating the Problem-Based Learning (PBL) model assisted by serial picture media. This approach utilizes chronological visual scaffolding to facilitate narrative comprehension for students in the concrete operational stage. The results demonstrated a highly significant academic progression: classical learning mastery increased to 70.97% (mean score: 80.80) in Cycle I and culminated in an absolute 100% mastery rate (mean score: 94.51) by the end of Cycle II. The synthesis of these findings reveals that transitioning from static visual aids to serial visual stimuli within a problem-oriented framework effectively mitigates cognitive dissonance and eradicates classroom passivity. In conclusion, the integration of the PBL model with serial picture media serves as a comprehensive pedagogical solution that not only maximizes cognitive reading comprehension but also reconstructs students' verbal articulation and social-collaborative skills, offering a highly scalable strategy for early primary education.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

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.

The Integrated Primary Care Posyandu (ILP) program requires cadres to assume a much broader role compared to conventional Posyandu services. In the working area of Puskesmas Penusupan, ILP achievement reached only 20% in 2025, while merely 25 out of 225 cadres (11%) had received related training. This condition indicates that cadre readiness needs to be examined more comprehensively before the program can be implemented optimally. This study aimed to analyze the factors associated with the readiness of ILP Posyandu cadres using a descriptive-analytic method with a cross-sectional approach. The study involved 144 cadres selected proportionally from a population of 225 using the Slovin formula. Data were collected through structured interviews using a validated questionnaire and analyzed using univariate, bivariate (Spearman Rank), and multivariate (ordinal logistic regression) analyses. The results showed that among the eight variables examined, only skills (r = 0.171; p = 0.040) and resource availability (r = 0.225; p = 0.007) were significantly associated with cadre readiness. In the multivariate analysis, resource availability emerged as the most influential factor with an OR = 2.839 (95% CI: 1.311–6.149), indicating that cadres supported by adequate resources were 2.8 times more likely to demonstrate good readiness. In conclusion, resource availability was identified as the dominant factor associated with the readiness of ILP Posyandu cadres in the working area of Puskesmas Penusupan. Therefore, improving the availability of facilities and infrastructure, providing practice-based training, and strengthening operational support should become priority programs in the future.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

The consistent decline in cucumber production in Indonesia indicates limitations in conventional cultivation systems, particularly due to land scarcity and inefficient resource management. This condition has encouraged the development of hydroponic systems as a more controlled and productive cultivation alternative. This study aims to critically analyze the key factors determining the success of hydroponic cucumber cultivation and to identify the most influential management aspects in improving yield. The method employed is a literature review, examining various recent studies related to hydroponic systems, nutrient management, growing media, and environmental factors. The results show that the advantages of hydroponics lie not only in land and water efficiency but also in the ability to precisely control growth variables. However, optimal productivity highly depends on the proper integration of nutrient management, particularly the regulation of pH, electrical conductivity (EC), and nutrient balance, as well as the control of environmental factors such as temperature, humidity, and light intensity. Inaccuracy in a single component can significantly reduce plant performance, even when other factors are optimal. Therefore, an integrated approach combining nutrient and environmental management simultaneously is essential to enhance hydroponic cucumber productivity. This study confirms that hydroponics has strong potential as a strategic solution to support sustainable agriculture amid land limitations in Indonesia.

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.

Geometry learning at the Junior High School (SMP) level frequently faces challenges due to the abstract nature of the objects, which impacts students' low spatial literacy. This issue is exacerbated by the dominance of conventional teaching methods that lack interactive digital media. This community service activity aims to enhance students' spatial literacy at SMP IT Qoshrul Muhajirin through learning assistance using ethnomathematics-based digibooks. The method employed consists of four stages: Planning, Acting, Observing, and Reflecting. Data were collected through observation, student response questionnaires, as well as pre-test and post-test instruments. The results indicate a significant improvement in students' spatial literacy by 22.70%, with the average score increasing from 43% in the initial stage to 65.70% following the assistance. Furthermore, 91.3% of students provided positive responses regarding the ease of use of the media, and 90.4% felt more motivated in learning. It can be concluded that the use of ethnomathematics-based digibooks is effective as an innovative learning solution capable of integrating digital technology with local cultural values to optimize students' spatial abilities.

Rheumatoid arthritis (RA) is a daily disease seen in rheumatology clinics. It predominantly involves the appendicular skeleton. The axial skeleton is mostly spared except for the cervical spine where instability can occur and can be carefully assessed with cervical spine radiographs in flexion and extension. Radiographs may show erosion at the C1-C2 level with destruction of the transverse ligament that can result in atlantoaxial subluxation. Diagnosis is based on clinical, laboratory, and radiographic findings. Conventional radiography has been the mainstay for diagnosis of joint damage and subsequent follow-up. Radiography can provide only indirect information on synovial inflammation, however, and the technique is insensitive to early bone damage. Hand radiographs are frequently ordered as the first imaging modality in the assessment of patients presenting with peripheral arthritis. They can provide invaluable information about the bones, joints, mineralization, soft tissues and the distribution of abnormalities. Given the wide spectrum of rheumatic diseases, it might be challenging to make the diagnosis solely based on the clinical findings and imaging plays an important role in narrowing the differential diagnosis. Having the knowledge of the common radiographic manifestations of inflammatory arthritis is of paramount importance for clinicians and radiologists to diagnose the underlying disease in early stages of disease in order to start treatment. The purpose of the article is to review the key radiographic findings of common rheumatic diseases in the hands.

The presence of Generation Z, who grew up entirely in the digital era, has triggered a fundamental transformation in Muslim religious practices, where social media has replaced conventional religious institutions as the primary source of religious information. This condition creates a paradox: Gen Z has become a generation that is highly religious online, yet is often disconnected from physical communities and traditional religious authorities. This study aims to analyze the character of Muslim Gen Z religiosity, identify its forming factors, and examine the impact of the digital era on their religiosity. This study employed a descriptive qualitative approach using a library research method. The findings indicate that Muslim Gen Z religiosity is characterized by personalization, flexibility, and digital spirituality, strongly influenced by social media. These characteristics are shaped by massive digital technology accessibility, the effectiveness of contextual Islamic preaching on platforms such as TikTok, as well as spiritual needs and social pressure from the digital environment. The digital era brings positive impacts in the form of increased accessibility and religious literacy, but also negative impacts including shallow religious understanding, vulnerability to information bias, and potential exposure to extreme ideologies. This study implies the importance of an integrated digital religious literacy strategy through critical thinking-based Islamic Religious Education curriculum reform, enhancement of educators' digital capacity, and cross-sector collaboration to strengthen Gen Z's moderate and reflective religious understanding.

The digital transformation of the Indonesian judicial system through the implementation of e-court and e-litigation necessitates a redefinition of conventional evidentiary laws, which have historically been governed by the Herziene Inlandsch Reglement (HIR) and the Rechtreglement voor de Buitengewesten (RBg). This research aims to analyze the evidentiary strength of electronic documents as expanded means of proof in civil proceedings and to identify the challenges regarding their implementation. The research method employed is normative legal research using a statutory approach and a conceptual approach. The findings indicate that based on the principle of functional equivalence, electronic documents hold a legal status equivalent to paper-based documents, provided they meet the requirements of integrity, accessibility, and authenticity through certified electronic signatures as mandated by Law Number 1 of 2024 concerning Electronic Information and Transactions. The evidentiary strength of an electronic document may reach the level of conclusive evidence, similar to an authentic deed, if supported by a reliable electronic system. However, implementation still faces technical hurdles concerning metadata verification and limited human resource competency within the judiciary. This research recommends the urgent need for a new codification of civil procedural law and the standardization of digital forensic procedures in trials to ensure legal certainty and justice for all parties in the digital era.

This article examines the re-actualization of teachers’ social competence within the digital learning ecosystem. The rapid development of technology has transformed conventional learning into digital-based environments, which significantly affect the patterns of interaction between teachers and students. This transformation often leads to reduced direct communication, emotional connection, and social engagement in the learning process. Therefore, this study aims to explore the importance of strengthening teachers’ social competence and to identify strategies for its re-actualization in digital learning contexts, particularly in early childhood education. This study uses a qualitative approach through a literature review by analyzing relevant journals, books, and scientific articles published in recent years. The findings indicate that teachers’ social competence remains a crucial factor in creating meaningful learning, even in virtual environments. Effective communication, empathy, and interactive engagement must be adapted to digital platforms. The study also highlights several strategies, such as integrating humanistic approaches, optimizing interactive media, and enhancing digital communication skills. These findings imply that strengthening teachers’ social competence is essential to support effective and holistic learning in the digital era.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

The era of globalization has brought significant changes to the world of education, particularly to the role and function of teachers in the learning process. Advances in information technology and easy access to knowledge require teachers to reorient their roles from mere transmitters of material to facilitators, motivators, curators of information, and mentors of student character. This study aims to examine the nature of the reorientation of the role and function of teachers in the era of globalization, the reasons for the need for such changes, the ideal form of teacher roles, and the challenges and strategies in their implementation. The research method used is a qualitative approach with a literature study through analysis of various books, journals, and relevant scientific sources. The results show that the reorientation of teacher roles is necessary due to changes in learning paradigms, technological developments, and the demand for 21st-century skills. However, the process still faces various challenges such as low digital literacy, conventional mindsets, limited training, and a lack of infrastructure support and parental participation. Therefore, strategies are needed such as improving teacher professional development, strengthening digital literacy, simplifying administrative burdens, and strengthening cooperation between schools, parents, and the community. With this reorientation, it is hoped that teachers will be able to play an optimal role in improving the quality of education and developing a generation that is intelligent, has character, and is ready to face global challenges.

Digital transformation in the judicial system represents a strategic step to improve the quality of legal services in Indonesia. One of the innovations implemented by the Supreme Court of the Republic of Indonesia is the E-Court system, which enables case administration and court proceedings to be conducted electronically. This study aims to analyze the effectiveness of the implementation of E-Court in realizing the principles of simple, fast, and low-cost justice, as well as to identify the obstacles faced by parties who do not utilize the system. The research method employed is a normative legal approach, involving the analysis of statutory regulations and scholarly literature. The results indicate that, normatively, E-Court has been effective in supporting judicial efficiency; however, in practice, it still encounters various challenges, including technical, social, and institutional aspects. These obstacles vary among different legal subjects, namely advocates, individuals, private legal entities, and government legal entities. Therefore, comprehensive efforts are required to optimize the implementation of E-Court to ensure that the objectives of judicial reform can be fully achieved. Furthermore, the findings reveal that, from a normative perspective, E-Court provides a more efficient mechanism compared to conventional systems, particularly in terms of case administration and communication between parties. However, this effectiveness has not been evenly realized due to constraints such as the digital divide, limited technological infrastructure, and low user readiness. Consequently, the implementation of E-Court still requires reinforcement in both technical and cultural aspects to ensure optimal accessibility for all segments of society.

This study investigates the decoupling phenomenon between ESG (Environmental, Social, and Governance) sustainability reporting and communal Tri Hita Karana (THK) sustainability practices in a Rural Bank in Bali. Through Ethnographic Content Analysis (ECA) of official documents from BPR Luhur Damai covering 2023–2025, this study identifies that the Sustainability Report (SR), prepared strictly according to Financial Services Authority Regulation (POJK) 51/2017, does not incorporate substantial THK practices, namely banten (ceremonial offerings) Rp131.6 million, dana punia (religious donations) Rp8.5 million, and monthly banjar (communal community unit) contributions, producing a Hindu religious expenditure to formal Social and Environmental Responsibility (SER) ratio of 10:1. Drawing on the Institutional Logics perspective, this study identifies four decoupling mechanisms: (1) cognitive, namely THK as taken-for-granted, not perceived as “sustainability”; (2) administrative, namely departmental silos between Compliance and General Affairs; (3) template, namely POJK 51/2017 provides no space for local wisdom; and (4) capacity, namely limited Human Resources (HR) and institutional capacity. These findings lead to the concept of “invisible sustainability,” that is, real sustainability contributions that are invisible to conventional reporting frameworks, and “cultural accounting gap,” that is, the absence of accounting categories for local cultural-religious contributions. The theoretical contribution is demonstrating that decoupling in Global South contexts is not merely symbolic compliance but results from structural misalignment between transnational and communal logics that renders local sustainability contributions institutionally invisible.

The use of local raw materials in Nile tilapia feed formulation needs to be developed to reduce dependence on increasingly expensive conventional feed ingredients. This study aimed to analyze the effect of different formulations of chicken feather meal and moringa leaf meal with turmeric addition as a phytobiotic on the chemical composition of Nile tilapia (Oreochromis niloticus) feed. The study used a completely randomized design with three treatments and three replications. P1 consisted of 55% chicken feather meal, 25% moringa leaf meal, 5% turmeric, 10% corn flour, and 5% starch; P2 consisted of 40% chicken feather meal, 40% moringa leaf meal, 5% turmeric, 10% corn flour, and 5% starch; and P3 consisted of 25% chicken feather meal, 55% moringa leaf meal, 5% turmeric, 10% corn flour, and 5% starch. The parameters analyzed were crude protein, moisture, ash, crude lipid, crude fiber, and carbohydrate. Data were analyzed using analysis of variance followed by the least significant difference test when significant differences occurred. The results showed that P3 produced the highest protein content (22.60%), ash content (6.65%), crude fiber (6.55%), and carbohydrate (8.45%), whereas P2 produced the highest lipid content (6.54%). Based on chemical analysis, P3 was the most prominent formulation for most proximate parameters. However, this formulation cannot be directly concluded as the best feed for fish growth because digestibility, palatability, feed conversion ratio, growth, survival, and health responses were not evaluated. Further biological testing is therefore required to confirm its feasibility for Nile tilapia culture.

Micro, Small, and Medium Enterprises (MSMEs) of chips in Pugeran Village, Gondang District, Mojokerto Regency face structural obstacles in the form of limited internal governance and weak market penetration. Around 80% of business actors are still managed conventionally, triggering production inefficiencies and a lack of mastery of persuasive marketing language on packaging. This community service activity aims to reconstruct an effective division of labor based on HR governance mindset, build the capacity of practical skills in packaging copywriting and digital media, and change business behavior from conventional reactive to strategic proactive. The program is implemented with an Asset-Based Community Development (ABCD) approach through three main intervention stages, namely diagnosis and reconstruction of MSDM, co-creation and marketing language assistance, and the adoption of proactive behavior through coaching and market simulation. The results showed a significant socio-economic transformation, characterized by the implementation of labor division SOPs that increased production efficiency by 18%, as well as the adoption of new packaging and persuasive copywriting techniques that expanded market reach beyond the region and increased average turnover by 22% in two months. In addition, a new social institution was formed in the form of the "Prosperous Pugeran Chips Craftsmen Association" and the emergence of young local leaders as agents of the program's sustainability.

The rapid growth of digital technology and social media has reshaped communication practices, consumer behavior, and marketing approaches, particularly among Generation Z, who are widely recognized as digital natives. For this generation, social media serves as a major channel for obtaining information and exploring product references before making purchase decisions. In this environment, influencer marketing has emerged as a prominent promotional approach because it can foster audience interaction, emotional connection, and trust more effectively than conventional advertising. This study examines the role of influencer marketing in shaping the digital behavior of Generation Z in Indonesia. A qualitative literature review method was employed by analyzing secondary sources drawn from academic journals, books, and related publications. The findings indicate that influencer marketing has a meaningful influence on information-seeking behavior, decision-making processes, and the level of digital engagement among Generation Z. Influencers are commonly viewed as more credible, relatable, and authentic sources of information. Furthermore, the effectiveness of influencer marketing is determined more by credibility, authenticity, and the quality of interaction than by follower count alone. These findings suggest that companies should adopt digital marketing strategies that are more interactive, personalized, and relationship-oriented in order to engage Generation Z more effectively.