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Due to its effect on the caliber of generations to come, iron deficiency anemia in teenage females is one of Indonesia's most pressing reproductive health concerns. Adolescents' awareness to autonomously adopt preventative actions is shaped mostly by their knowledge. The purpose of this research is to determine whether there is a correlation between the prevalence of anemia among teenage females in Boyolali Regency and their degree of education. Using a cross-sectional design, this study employs quantitative correlational analytic methods. An accidental sampling approach was used to obtain a sample size of 80 respondents from the population of seventh grade female pupils. A digital POCT device was utilized to quantify the incidence of anemia variables based on hemoglobin (Hb) levels, while a structured questionnaire instrument was employed to gather data for knowledge variables. The Chi-Square test was used to assess the bivariate data analysis. According to the univariate analysis, 62.5% of the participants (50 respondents) had a decent level of knowledge, and 73.8% of the participants (59 respondents) did not suffer from anemia (Hb > 12 g/dL). With a p-value of 0.000 (p < 0.05), the results of the bivariate test were generated. Anemia is more common among female students at MTs Al Ihsan Doglo who have a higher degree of expertise, according to this study. School districts should keep an eye on students' iron pill use and improve their nutrition education programs.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

Document-level sentiment analysis assigns a single polarity label to an entire review, often obscuring opinion diversity within multi-sentence submissions. This limitation is particularly evident in reviews of multi-service platforms, where users frequently express heterogeneous opinions toward different aspects of the platform in the same review. To address this challenge, this study proposes a sentence-level sentiment analysis framework for Indonesian Gojek app reviews collected from the Google Play Store. The proposed framework introduces a two-stage segmentation strategy that combines punctuation-aware rules with conjunction-aware splitting based on coordinating and adversative conjunctions (e.g., tapi [but], padahal [even though]) to identify opinion boundaries and decompose mixed-sentiment reviews into independently classifiable sentence units. A total of 14,730 raw reviews collected between May and July 2025 were subjected to data cleaning and quality filtering, resulting in 7,187 valid reviews that were further segmented into 14,187 sentence-level instances. Each instance was manually annotated by three annotators using a four-class labeling scheme consisting of app-positive, app-negative, app-neutral, and service categories. Sentiment-level inter-annotator agreement, computed on the subset of instances unanimously categorized as app-related by all three annotators (n = 4,384), achieved substantial agreement (Fleiss'  = 0.636). Hyperparameter optimization was conducted using Optuna with the Tree-structured Parzen Estimator (TPE) sampler across four experimental scenarios. The best performance was achieved by IndoBERTweet under Stratified K-Fold evaluation, attaining an accuracy of 0.751 and a macro F1-score of 0.729, outperforming all IndoBERT configurations. The results demonstrate the effectiveness of domain-adaptive pre-training on informal Indonesian text and highlight the value of conjunction-aware segmentation for preserving fine-grained opinion structures in mixed-sentiment reviews. These findings suggest that domain-aligned language representations provide a practical and effective solution for sentence-level sentiment analysis of Indonesian app reviews.

Agentic artificial intelligence (AI) systems capable of autonomous goal-directed behavior, multi-step planning, tool use, multi-agent coordination, and iterative self-correction represent a transition from passive clinical AI tools toward systems that can participate in complex healthcare workflows. However, empirical evidence remains fragmented across clinical decision support, patient monitoring, and administrative applications, and no systematic synthesis has evaluated which agentic principles have been technically demonstrated and which have accumulated sufficient evidence to support responsible clinical deployment. We conducted a PRISMA-informed systematic review of peer-reviewed empirical studies published between January 2025 and April 2026. Searches across five bibliographic databases and Google Scholar, supplemented by citation tracking, identified 443 unique records for screening, of which 25 met the predefined PICOS and quality appraisal criteria. Evidence was synthesized using an evidence-informed seven-principle framework derived from the integration of agentic AI, clinical AI, and healthcare governance literature. This framework provides a structured lens for examining how agentic principles are evaluated individually and in combination, enabling a deployment-readiness perspective that extends beyond capability-focused assessments alone. The evidence base was concentrated on technical capability principles, whereas human oversight, safety, compliance, and equity-related evaluation received comparatively limited attention. Most studies remained at the laboratory, benchmark, or proof-of-concept stage, and none reported demographic-stratified performance outcomes. Overall, the findings suggest a structural asymmetry in agentic healthcare AI: empirical research is advancing agentic capabilities more rapidly than it is generating evidence for the oversight, safety, equity, and governance mechanisms required for responsible clinical translation.

This community service activity aims to improve lecturers' competence in supervising master's student thesis proposals through interactive workshops and intensive mentoring at the Adias Institute of Technology and Business, Pemalang. The activity was carried out in two online sessions via Zoom Meeting on April 11 and May 21, 2026, involving 24 participants consisting of 12 active supervisors and 12 master's students. The approach used refers to Kolb's experiential learning model, including socialization of needs, workshops on academic standards and feedback techniques, mentoring simulations, and formative evaluations based on competency rubrics. The results of the activity showed a significant increase in all indicators of mentoring competence with an average increase of 51.7 percent. All 12 lecturers successfully developed structured mentoring plans, and 24 student proposals reached the seminar-ready stage. Theoretically, these findings strengthen the relevance of the experiential learning approach in developing lecturers' academic competence. Practically, this program provides a replicable intervention model for private universities in standardizing the quality of thesis supervision at the master's level.

This study aims to identify and evaluate the cultural tourism potential of Kalurahan Grogol in Gunungkidul Regency to inform the development of a community-based cultural tourism village. The research employed a qualitative descriptive approach supported by quantitative scoring techniques using a 1–5 Likert scale across four assessment dimensions: cultural value, physical value, tourism value, and experiential value. The analysis applied Du Cros and McKercher’s Market Appeal–Robusticity Matrix to map the market attractiveness and cultural robustness of each cultural asset. Data were collected through semi-structured interviews, observations, and documentation studies of 46 tangible and intangible cultural assets in Kalurahan Grogol. The findings reveal that most cultural assets exhibit moderate to high cultural robustness, indicating that local cultural practices remain active and socially sustained within the community. Prominent cultural assets such as Rasulan, Karawitan Lestari Budoyo, Reog Sedyo Laras, Gejlok Lesung, Sega Berkat, and Tempe Godhong are positioned in Quadrant A1, characterized by high market appeal and high robustness, making them highly potential as leading cultural tourism attractions. Meanwhile, assets in Quadrants B and C present opportunities to develop creative, educational, spiritual, and wellness-based experiential tourism products. The study also finds that several sacred traditions categorized in Quadrant D are more appropriately preserved through non-commercial approaches. The absence of cultural assets in the D3 category indicates that the cultural system of Kalurahan Grogol remains adaptive and regenerative amid modernization. This research contributes theoretically by extending the application of the Market Appeal–Robusticity Matrix into the context of community-based cultural tourism villages. It provides strategic recommendations for sustainable cultural tourism development that remain sensitive to local cultural authenticity.

Breast cancer remains a major global health challenge, with treatment effectiveness often limited by drug resistance and the toxic side effects of chemotherapy on normal cells. The exploration of bioactive compounds from natural sources through a medicinal chemistry approach offers a promising alternative strategy. This study aims to examine the molecular mechanisms of action and Structure-Activity Relationships (SAR) of various natural compound scaffolds as potential breast anticancer agents. The method employed was a systematic narrative literature review of 15 recent scientific articles evaluating computational parameters, including molecular docking, as well as in vitro and in vivo activities. The results indicate that polyphenols, flavonoids such as quercetin and EGCG, and curcumin possess strong cytotoxic activity and high binding affinity toward cancer-related target macromolecules. SAR analysis demonstrates that key structural features, including the number and position of free phenolic hydroxyl groups, the presence of gallate ester groups, and conjugated diketone systems, play a crucial role in determining ligand receptor complex stability. These interactions are supported by hydrogen bonding, hydrophobic interactions, and favorable steric compatibility within receptor binding sites. Computational findings further suggest that structural optimization can enhance ligand selectivity and improve pharmacokinetic properties. This study concludes that natural phytochemical scaffolds have significant potential as lead compounds and provide a rational basis for Computer-Aided Drug Design in developing more potent, selective, multi-target, and safer breast anticancer therapies.

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.

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

Dredger operations in water-based mining areas have a high occupational risk because they involve a combination of wet environments, mechanical equipment, and electrical systems. The presence of electrical panels, power cables, terminal connections, electric motors, inverters/drives, and protection components on the Dredger requires a sound understanding of Occupational Health and Safety, particularly electrical safety. Water splashes, wet walking surfaces, high humidity, and improper procedures during inspection or cleaning may increase the risk of short circuits, protection trips, and electric shock. Therefore, structured basic safety training is required so that operators are able to identify electrical hazards and implement safe working procedures. This activity aimed to improve operators’ understanding of hazardous electrical components, initial safety briefing procedures, measurement practice and safe handling during trips or short-circuit indications, and the correct and safe use of water pumps for unit cleaning. The activity was carried out through field observation, technical briefing, direct demonstration on the electrical panel and work area, simple measurement practice, and safe cleaning practice. The results indicate that field documentation can serve as an effective learning medium to strengthen operators’ understanding of electrical hazard sources on the Dredger, the application of simple lock out-tag out procedures, the control of wet areas, and the limitation of water spray direction during cleaning activities. Overall, the activity shows that improved compliance with safety procedures may reduce the risk of short circuits and electric shock during operation and maintenance.

This study explores Indonesian EFL student teachers’ experiences of learning to write news articles through blogging in a Journalism course. The study was motivated by the need to provide meaningful and genre-based writing practice for EFL student teachers, who often face difficulties in generating ideas, organizing information, meeting genre expectations, and writing for authentic aences. Employing a qualitative case study design, the study involved twenty undergraduate student teachers from a private Islamic university in Tangerang, Indonesia; all participants completed an online quetaire, and five volunteers joined follow-up semi-structured interviews. The questionnaire data were alysed descriptively, while the interview data were examined thematically. The findings indicate that blogging supported regular writing practice, helped students understand news text structure, enouraged clearer organization of headlines, leads, and supporting details, and increased engagement by allowing students to publish and share their work. Blogging also promoted peer interaction and selfevaluation because students could read, compare, and comment on one another’s posts. However, some paticpants eprienced challenges related to technical blogging skills, uncertainty about writing standards, limited peer feedback, and discomfort with public online publication. The study concludes that blogging can serve as a useful platform for EFL news writing when it is supported by explicit istrucion, relevant tasks, clear assessment criteria, structured feedback, and ethical awareness in using digital and AI-driven tools.

Clean and healthy living habits (PHBS) is the essence and human right to maintain the continuity of life. Clean and healthy living habits is a set of behaviors that are practiced on the basis of awareness as a result of learning, which makes a person, family, group or community able to help themselves (independently) in the health sector and play an active role in realizing public health. The impacts of families who do not practice PHBS are numerous, this problem comes from unhealthy behavior and environments. Clean and Healthy Living Behavior in Cemparam Lama Village, Bener Meriah Regency, based on the results of observations made by the Mesidah District Health Center, Bener Meriah Regency, in 2022 is 1.8%. The aim of this research is to see the description of clean and healthy living behavior in the household structure in Cemparam Lama Village, Mesidah District, Bener Meriah Regency. This type of research is purely descriptive which aims to see the description of clean and healthy living habits in the family structure in Cemparam Lama Village, Bener Meriah Regency. Results of this research were good knowledge of respondents with a percentage of 93.9%, positive attitudes of respondents with a percentage of 95.6%, and good actions of respondents with a percentage of 94. 7%. Conclusion of this research is that the majority of families in Cemparam Lama Village, Mesidah District, Bener Meriah Regency have a good description of characteristics, knowledge, attitudes and actions regarding Clean and Healthy Living Habits.  

Churches and Christian institutions frequently face the challenge of congregations whose understanding of ministry remains confined to the spiritual dimension alone, while the holistic ministry mandate calls for active engagement across social, educational, and economic spheres. This study examines two primary objectives: first, how Christian Religious Education (CRE) shapes congregational understanding of holistic church ministry; and second, how CRE equips congregants with the concrete capacity to serve comprehensively. A qualitative approach with a case study design was employed at Yayasan Sola Gratia Medan. Data were gathered through in-depth interviews with seven informants comprising foundation leaders, program coordinators, active church members, volunteers, and beneficiaries. Analysis followed a thematic framework encompassing data reduction, display, and conclusion drawing. Findings reveal that: (1) consistent CRE implementation at Yayasan Sola Gratia has successfully shifted the congregational ministry paradigm from exclusively spiritual to holistically transformative; and (2) congregants who have internalized CRE values demonstrate more structured ministry capacity, stronger theological motivation, and significant cross-dimensional engagement. This research contributes a contextual CRE model relevant for church-based institutions operating in multidimensional urban environments.

Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

Antimicrobial resistance is a persistent threat to hospital care, particularly when empirical therapy relies on broad-spectrum antibiotics without continuous evaluation of local use and susceptibility patterns. This literature review aimed to synthesize evidence from four Indonesian hospital-based studies regarding antibiotic utilization, rationality assessment, and bacterial resistance profiles. A structured narrative review was conducted using four selected articles provided by the author. Data were extracted for study design, setting, population, antibiotic evaluation method, dominant antibiotic classes, rationality indicators, resistance profile, and stewardship implications. The four studies were descriptive and hospital-based, using retrospective records, concurrent observation, ATC/DDD with DU 90%, qualitative rationality criteria, and antibiogram data. The synthesis showed a consistent concentration of antibiotic use in broad-spectrum groups, especially third-generation cephalosporins, penicillins, quinolones, and macrolides. In a Bandung public hospital, total antibiotic consumption reached 95,719.01 DDD, with penicillins, cephalosporins, quinolones, macrolides, and sulfonamides included in the DU 90% segment. In intensive care, ceftriaxone was the most frequently used antibiotic and most rationality indicators were appropriate, although clinically significant drug interactions were still identified. In pediatric acute respiratory infection inpatients, cefotaxime and ceftriaxone dominated empirical therapy. Resistance mapping in Denpasar highlighted relevant Gram-positive and Gram-negative pathogens and recommended antibiotics according to susceptibility levels. Overall, the reviewed evidence supports an integrated antimicrobial stewardship model combining ATC/DDD-DU 90% surveillance, qualitative rationality evaluation, antibiogram-based empirical guidance, and periodic feedback to prescribers.

This research aims to analyze the implications of the transition in lease accounting standards to PSAK 73 on tax efficiency levels and net income structures within the retail industry, focusing on PT Mitra Adiperkasa Tbk as case studies. Employing a descriptive quantitative method, this research compares financial statement data from the 2017-2024 period to evaluate shifts before and after the regulation's enforcement. The results reveal that the implementation of PSAK 73 successfully improved corporate tax efficiency, characterized by a decrease in the Effective Tax Rate (ETR) below the statutory corporate tax rate. This was achieved by leveraging temporary differences that resulted in the recognition of deferred tax assets, providing a strategic advantage in the form of tax deferral. On the other hand, the application of this standard caused significant pressure on net profit during the initial transition phase due to the front-loading expense pattern derived from right-of-use asset depreciation and lease liability interest.

Accountability in preparing financial reports is a crucial instrument for the sustainability of business entities, because inaccurate financial data management can hinder decision-making and harm business performance in the future. For MSME actors in the PKK Tanggamus community, strengthening financial reporting competence is an urgent need so they can map expenditure structures, record income, calculate profit, and evaluate business development periodically. This community service activity aims to improve participants’ financial discipline, particularly in separating personal assets, business capital, and gross profit, while introducing accessible office technology. The training focused on optimizing LibreOffice Calc as an alternative to Microsoft Excel with similar functions for creating transaction tables, cost recapitulations, and simple financial reports. The activity method included material presentation, software demonstrations, report preparation practice, and interactive discussions based on participants’ business needs. Training results showed high enthusiasm, improved understanding, and readiness to use LibreOffice Calc as a more organized, transparent, and sustainable financial recording tool. Thus, this activity provides practical contributions to building an accountable financial administration culture for community-based MSMEs.

This study aims to analyze strategies for increasing reading interest in developing a literate generation among elementary school students and to identify factors influencing literacy culture within school and family environments. The phenomenon of low reading interest among elementary school students has become a significant concern because the rapid development of digital technology tends to shift students’ attention from reading activities to audiovisual entertainment. This research employed a descriptive qualitative approach using a case study method at SDN 1 Notoharjo. Data were collected through semi-structured interviews, observations, and documentation studies. The participants consisted of one classroom teacher and four third-grade students of SDN 1 Notoharjo. Data analysis was conducted through data reduction, data display, and conclusion drawing, while data validity was tested using source triangulation and method triangulation. The findings revealed that literacy strengthening was implemented through morning reading activities, book discussions, the use of visual and digital media such as e-books, and the utilization of reading corners and school libraries. The study also found that students’ reading interest was influenced by the availability of reading materials, the comfort of literacy environments, family support, and the dominant use of gadgets for entertainment purposes. This study contributes scientifically by strengthening the concept of collaborative literacy involving schools, families, and digital technology in developing reading culture among elementary school students. The findings imply the need for more integrated, adaptive, and sustainable literacy programs to improve students’ reading interest in the digital era.  

Kegiatan pengabdian ini bertujuan meningkatkan kemampuan bahasa Inggris akademik mahasiswa melalui pelatihan TOEFL di Akademi Kesehatan Universitas 17 Agustus 1945 Semarang. Permasalahan utama adalah rendahnya pemahaman mahasiswa terhadap struktur TOEFL dan strategi pengerjaan soal. Metode yang digunakan meliputi tahap persiapan, pelaksanaan, dan evaluasi dengan pendekatan Communicative Language Teaching (CLT). Sebanyak 54 peserta mengikuti pelatihan yang mencakup listening, structure, dan reading serta evaluasi melalui pre-test dan post-test. Hasil menunjukkan peningkatan signifikan dengan rata-rata skor meningkat dari 457,26 menjadi 527,74. Tingkat kelulusan meningkat dari 66,7% menjadi 88,9%, dan peserta remedial mencapai kelulusan 100%. Hal ini menunjukkan bahwa pelatihan TOEFL berbasis praktik efektif dalam meningkatkan kompetensi bahasa Inggris mahasiswa.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.