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Eukaryotic microorganisms, particularly fungi and protists, play a vital role in ecosystems, as well as in microbiology studies and biology education. The complex structure of eukaryotic cells, such as a true nucleus and membrane-bound organelles, enables these two groups to perform diverse physiological functions and adapt to their environments. This study aims to synthesize the literature on the structure and function of eukaryotic cells in fungi and protists and their implications for biology learning. The method used is a literature review with a descriptive qualitative approach through analysis of relevant scientific sources. The results of this study indicate that understanding the structure of eukaryotic cells in fungi and protists is not only important in the context of microbiology but also contributes to strengthening understanding of the concept of cell structure and function and making biology learning more contextual and meaningful.

This study aims to analyze the in silico profile of the compound orientin derived from the water hyacinth plant (Eichhornia crassipes) as a potential antioxidant candidate. Orientin was selected based on its chemical structure data registered in PubChem, which provides complete information regarding molecular identity, physicochemical properties, and 2D and 3D structural representations. The prediction of biological activity was conducted using PASS Online, which indicated that orientin possesses a promising likelihood of exhibiting antioxidant activity according to relevant probability values. Furthermore, the safety assessment of the compound was carried out through ProTox-II to identify potential toxicity, including toxicity class, possible hepatotoxic effects, and other predicted safety parameters. To determine its pharmacokinetic profile, pkCSM was employed to predict ADMET characteristics such as absorption, distribution, metabolism, excretion, and additional toxicity risks. The results of these analyses show that orientin demonstrates favorable potential as an antioxidant candidate, supported by predicted pharmacological properties and relatively low toxicity levels according to in silico evaluations. Therefore, orientin has promising potential for further development in subsequent in vitro and in vivo studies.

This research examines the implementation of mobile public services in archipelagic contexts, where dispersed settlements, dependence on sea transportation, weather uncertainty, and limited digital connectivity significantly constrain service access and continuity. Although digital government has developed rapidly, most previous studies focus on urban or mainland settings and rarely consider geography as a determining factor. This creates a gap in understanding how archipelagic conditions interact with governmental capacity, governance structures, and frontline practices. The study aims to explain the mechanisms of mobile service implementation under these constraints and to develop an Archipelagic Implementation Framework that integrates context, capacity, governance, and outcomes. Using a qualitative single-case study approach in Raja Ampat Regency, Indonesia, data were collected through in-depth interviews, policy documents, and limited observation, then analyzed using hybrid thematic analysis. The findings reveal that archipelagic constraints lead to frequent rescheduling, hybrid online–offline service delivery, increased coordination demands, and connectivity challenges. Service sustainability depends on staff rotation, portable infrastructure, and adaptive strategies by frontline actors. The proposed framework highlights how contextual constraints shape administrative capacity, coordination, and service outcomes, offering practical insights for resilient public service delivery.

The effectiveness of hypertension prevention in communities depends critically on individuals’ knowledge of risk factors and their attitudes toward healthy behaviors. This study examines the relationship between mothers’ knowledge and attitudes toward hypertension prevention behavior in South Polongbangkeng District, Takalar Regency, 2026. An observational analytic quantitative design with a cross-sectional approach was employed. A total of 200 mothers were selected as respondents. Data were collected using structured questionnaires assessing knowledge, attitude, and hypertension prevention behavior, then analyzed using chi-square test at a significance level of α = 0.05. Results showed that the majority of respondents had good knowledge (89.0%), good attitudes (91.0%), and good hypertension prevention behavior (77.0%). Statistical tests revealed a significant association between mothers’ knowledge and hypertension prevention behavior (p = 0.000) and between mothers’ attitudes and hypertension prevention behavior (p = 0.000). It is concluded that mothers’ knowledge and attitudes are significantly associated with hypertension prevention behavior. Health workers are recommended to strengthen health education and promotion programs targeting mothers to support hypertension prevention in the community.

This study aims to analyze how human development governance is implemented by the Government of South Sulawesi Province in reducing regional disparities, identify institutional factors influencing implementation quality, and examine its implications for human development outcomes. The study employs a qualitative approach using a case study design. Data were collected through interviews with key informants from the Regional Development Planning Agency (Bappeda) and relevant Regional Apparatus Organizations, analysis of regional planning documents such as RPJMD and RKPD, and statistical data from the Central Bureau of Statistics related to the Human Development Index (HDI), poverty, and employment. Data were analyzed thematically using triangulation to ensure validity of findings. The results show that the Human Development Index has been positioned as a key performance indicator in regional development planning documents and prioritized in education and health sector policies. Although overall HDI achievement in South Sulawesi is categorized as high, significant disparities remain across regencies and municipalities, particularly in education and standard of living. A poverty rate of 8.06 percent and the increasing trend of the Gini Ratio indicate that distribution of welfare has not been fully equitable. Furthermore, the dominance of the informal sector in the employment structure reflects challenges related to job quality, income stability, and limited social protection coverage. These findings suggest that the main challenge of human development in South Sulawesi lies not only in improving aggregate indicators but also in strengthening bureaucratic capacity, cross-sectoral coordination, and policy implementation consistency to ensure more inclusive and equitable development across regions.

This study aims to: (a) examine the partial influence of the E-Registration system on individual taxpayer compliance at KPP Pratama Bulukumba, (b) assess the influence of the E-Billing system on individual taxpayer compliance, and (c) determine the partial influence of the E-Filing system on individual taxpayer compliance at the same tax office. The population of this research consists of individual taxpayers registered in 2023, totaling 182,071 at KPP Pratama Bulukumba. The sample comprises 99 individual taxpayers who utilize E-Registration, E-Billing, and E-Filing systems in fulfilling their tax obligations. The sampling method employed is purposive sampling, based on specific criteria. Data were collected using a structured questionnaire. The data analysis involved data quality tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing. The results indicate that: (1) E-Registration has a positive and significant effect on individual taxpayer compliance, (2) E-Billing has a positive and significant effect on individual taxpayer compliance, and (3) E-Filing has a positive and significant effect on individual taxpayer compliance at KPP Pratama Bulukumba.

Public service quality has emerged as a crucial metric for assessing how well the government functions and the efficiency of its administration. Recently, rising expectations from the public have led gov-ernments to offer services that are open, responsible, effective, and attuned to citizens' needs. Alongside administrative changes and the evolution of governance models focused on efficiency and citizen satisfaction, the appetite for high-quality public services has surged. Nonetheless, numerous public entities continue to struggle with providing reliable and top-notch services due to a lack of defined service norms and systems for measuring performance. The purpose of this research is to investigate ways to enhance public service quality by establishing robust service standards and quantifiable performance metrics. The study employs a qualitative descriptive methodology, drawing on a review of relevant lit-erature from the past seven years. Multiple academic sources were analyzed to uncover essential ideas, frameworks, and empirical evidence concerning public service management, the enhancement of service quality, and the assessment of performance in governmental organizations. The results show that adopting well-defined service standards, along with measurable performance metrics, can greatly en-hance service effectiveness, accountability, and overall public satisfaction. Additionally, merging prin-ciples of service excellence with quantifiable indicators promotes transparency, boosts organizational performance, and fosters ongoing improvements in service delivery. The research concludes that to enhance public service quality, a structured framework for service standards, ongoing performance assessments, and a firm organizational dedication to innovation and service enhancement are necessary.

This study analyzes the governance performance of information systems at the Career Center of Universitas Muhammadiyah Jambi using the COBIT 2019 framework. The primary objective is to evaluate the maturity level of IT governance and provide recommendations to enhance the efficiency and effectiveness of information systems in supporting the institution’s strategic objectives. Data were collected through interviews, observations, and questionnaires involving system users and decision-makers within the Career Center. The findings indicate that several areas require greater attention, particularly Managed IT Changes, Managed Risk, and Managed Operations. These domains are considered critical in improving the management and reliability of the existing information systems. The study also identifies several challenges affecting system performance, including limited system integration, insufficient human resources, and the use of outdated technology. Based on these findings, the research recommends strengthening the organizational structure, improving the competence of human resources, and optimizing IT processes in accordance with COBIT 2019 standards. Implementing these improvements is expected to increase IT governance maturity, enhance service quality for students and alumni, and better support the university’s strategic development goals.

This study aims to identify the learning needs of deaf students in internship programs, examine the challenges they face, develop appropriate solutions, and design as well as evaluate a visual module-based learning model to improve their work skills. The study used a Research and Development (R&D) approach with a 4D model: Define, Design, Develop, and Disseminate. The participants included deaf students from special needs high schools (SMALB) involved in vocational internships, mentor teachers, and industry supervisors. Data were collected through observation, interviews, questionnaires, documentation, and focus group discussions, and analyzed using qualitative techniques supported by descriptive analysis. The findings indicate that deaf students require visual, structured, and easily understandable work instructions supported by symbols, color codes, and guidance materials. Major challenges include limited verbal communication, difficulty understanding instructions, and risks of procedural errors. To address these issues, a systematic and communicative visual module-based learning model was developed, incorporating collaborative support from schools and industry. The resulting model integrates planning, implementation, mentoring, and evaluation stages, and has proven feasible and effective in enhancing students’ independence, technical competence, and overall work readiness.

Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation. Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation.

Leadership constitutes a critical determinant of organizational efficiency, yet the relationship between leadership styles and administrative effectiveness remains incompletely understood, particularly across different institutional contexts. This comparative study examines how transformational, transactional, and laissez-faire leadership styles influence administrative efficiency in public and private sector institutions in Indonesia. Using a mixed-methods approach, quantitative data were collected from 428 employees across 28 public institutions and 24 private organizations through validated survey instruments; qualitative data were gathered through 36 semi-structured interviews with organizational leaders and managers. Results reveal significant positive relationships between transformational leadership and administrative efficiency in both sectors (β = 0.54, p < 0.001 for public; β = 0.48, p < 0.001 for private), with transactional leadership showing moderate positive effects (β = 0.32 public; β = 0.38 private) and laissez-faire leadership demonstrating negative relationships (β = −0.28 public; β = −0.24 private). Leadership styles collectively explain 52% of efficiency variance. Mediation analysis reveals that organizational culture (28%), employee engagement (35%), and trust in leadership (22%) partially mediate transformational leadership's effects, together accounting for 62% of total indirect effects. Sector differences emerged qualitatively: transformational leadership leverages public service motivation in public institutions, while transactional leadership's performance accountability resonates more strongly in private organizations. The study contributes theoretical understanding of leadership effectiveness across institutional contexts and provides practical guidance for developing contextually appropriate leadership development programs.

This study aims to analyze the utilization of Community Forestry, the role of farmers group, and the perceptions of livestock farmers who are members of “HKm Ulusena” Farmers Group regarding the utilization of the Ulusena Community Forest. This study was conducted from November 2024 to July 2025 in Ulusena Village, Moramo District, South Konawe Regency, Southeast Sulawesi Province. This study was conducted using a qualitative approach. The determination of informants was carried out using a non-probability sampling method with purposive sampling and snowball sampling techniques. Data sources in this study used primary and secondary data. Data collection was obtained through observation, interviews, and documentation. The data analysis process used the Miles and Huberman method, namely data reduction, data presentation, and drawing conclusions. The utilization of the Ulusena Community Forest is divided into three categories: land use, utilization and collection of non-timber forest products (NTFPs), and utilization of environmental services. Livestock serves as a secondary source of income for livestock farmers, members of the Ulusena Community Forest Farmer Group. Utilization in livestock involves the use of forest areas as land for growing green fodder. “HKm Ulusena” Farmers Group has not been actively operating, so a new group management structure was formed. The new management structure periodically carries out a process of increasing the capacity of regional, institutional, and business management to foster group synergy by reactivating group activities. Farmers' perceptions of the use of the Ulusena Community Forest tend to be positive. Positive impacts of the Ulusena Community Forest utilization include obtaining permits for non-timber forest product (NTFP) management, obtaining economic resources from NTFPs, and obtaining resources to support the livestock sector.

Pragmatics not only highlights language structure, but also the speaker's purpose and intention in a communication event. This study on representative and directive speech acts in the “Belajar Jadi MC” playlist on Maya Rachma's YouTube channel is important because social media, especially YouTube, has developed into an influential public space that shapes people's perspectives. This scientific article uses a theoretical approach in the form of a pragmatic approach and a methodological approach, namely a qualitative descriptive approach.  The techniques used by the researcher were the Simak Bebas Libat Cakap (SBLC) technique and the note-taking technique. These two techniques were used because the author did not interact directly but only listened and took notes from existing data. The results of the study found 8 types of representative speech acts and 4 types of directive speech acts. There were 65 representative speech acts, including 9 informative speech acts, 12 suggestive speech acts, 13 mentioning speech acts, 9 stating speech acts, 6 exemplifying speech acts, 9 explaining speech acts, 4 showing speech acts, and 3 speculating speech acts. Meanwhile, there were 33 instances of directive speech acts, including 9 requests, 7 invitations, 8 commands, and 9 orders. The author hopes that this research can be used as a reference for further studies on representative and directive speech acts and increase knowledge and insight in the field of pragmatics, especially in the study of representative and directive speech acts.  

The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experimental conditions, with a particular focus on generalization performance and overfitting mitigation. Two neural architectures, a Long Short-Term Memory (LSTM) network and a Transformer-based attention model, are trained on publicly available API call sequence data for binary classification of malicious and benign executables. Beyond standard accuracy metrics, the study further examines model stability, convergence behavior, and the impact of long-range dependency modeling on detection robustness. Experimental results demonstrate that the Transformer architecture achieves superior performance, attaining 95.54% classification accuracy and consistent improvements in precision, recall, and F1-score, indicating a stronger ability to capture complex behavioral dependencies. These findings highlight the effectiveness of attention mechanisms in behavioral malware modeling and provide empirical evidence that NLP-inspired architectures offer a robust and scalable approach for real-world cybersecurity applications.

The customary forest of Sub-Tribe Afsya, Bariat Village, South Sorong Regency, Southwest Papua is a lowland tropical rainforest of approximately 2,500 hectares managed under the indigenous "Sasi Adat" system. This study aimed to determine bird species diversity, evenness of distribution, and the relationship between bird communities and vegetation structure. Research was conducted in January 2026 using a combination of line transect and point count methods along five 1,000-meter transects, observed in the morning (06:00–10:00 WIT) and afternoon (15:30–18:00 WIT). Data were analyzed using the Shannon–Wiener Diversity Index (H’), Simpson's Dominance Index (D), Evenness Index (E), and vegetation Important Value Index (IVI). The study recorded 30 bird species from 16 families with 492 individuals, including 12 Papua-endemic species protected under Minister of Environment and Forestry Regulation No. P.106/2018. H’ values ranged from 1.197 to 2.472 (moderate to high); dominance was low to moderate; and evenness ranged from 0.668 to 0.933, with most transects showing high evenness (E > 0.75). Vegetation was dominated by damar trees (Agathis labillardierei) and fruiting trees synergistically supporting frugivore, insectivore, and nectarivore bird guilds. The Sasi Adat management system demonstrably contributes to habitat quality, rendering this forest of significant conservation value for Southwest Papua's avifauna.

The development of digital media has transformed Islamic da’wah into a digitally mediated form of religious communication, reshaping structures of authority, engagement, and community formation. However, existing research remains fragmented and lacks a comprehensive structural map. This study conducted a Systematic Literature Network Analysis (SLNA) of Scopus-indexed publications on Islamic da’wah via digital platforms from 2016 to 2026. Using PRISMA-based screening techniques and bibliometric methods—including co-authorship, co-citation, and co-occurrence analyses with VOSviewer—the study analyzed 74 peer-reviewed journal articles. The results indicate a significant increase in the number of publications, particularly following the COVID-19 pandemic. The field is structured around four main themes: platform-based engagement strategies, youth identity formation, digital authority and ethics, and the adaptation of prophetic communication principles to the online context. Although Indonesia and Malaysia dominate the research output, the collaborative network remains relatively dispersed. New topics such as the influence of algorithms and AI-supported da‘wah suggest an expansion toward interdisciplinary directions. This study provides the first comprehensive map based on Scopus for research on Islamic digital da‘wah and offers a foundation for future theoretical and empirical development.

The spread of Non-Consensual Intimate Images (NCII) has become one of the most damaging forms of technology-based sexual violence in Indonesia. Komnas Perempuan data consistently shows a year-on-year rise in gender-based online violence reports, while SAFEnet documented hundreds of NCII cases between 2017 and 2023. Before Law Number 12 of 2022 on the Crime of Sexual Violence (TPKS Law) was enacted, Article 27 paragraph (1) of the Electronic Information and Transactions Law (ITE Law) was the only legal basis for handling NCII — a provision that frequently revictimized survivors rather than protecting them. This study examines: (1) how NCII is regulated under the TPKS Law; and (2) the effectiveness of the TPKS Law in addressing NCII cases, analyzed through Lawrence M. Friedman's three-component theory of legal effectiveness: legal substance, legal structure, and legal culture. Normative legal research was applied using statutory, conceptual, and analytical approaches. The study finds that Article 14 of the TPKS Law provides a substantially stronger and more victim-centred legal basis than previous regulations. However, effectiveness is still hampered by inadequate law enforcement capacity, uneven availability of integrated service units (UPTD PPA), low survivor reporting rates linked to persistent stigma, and a pervasive victim-blaming culture. Law reform alone is insufficient; structural and cultural transformation must accompany it.

This study explores student agency in Artificial Intelligence (AI)-supported STEM learning environments, addressing a critical gap in existing literature that predominantly focuses on learning outcomes rather than learner-centered processes. Drawing on an interpretive qualitative approach, this research investigates how students experience autonomy, self-regulation, and decision-making when interacting with AI technologies in STEM education. Data were collected from 15 participants engaged in AI-supported learning through in-depth semi-structured interviews, supported by observations and document analysis. The data were analyzed using thematic analysis to identify recurring patterns and meanings related to student agency. The findings reveal that student agency is a dynamic and multidimensional construct shaped by the interplay between technological affordances and learner engagement. Four major themes emerged: enhanced autonomy, development of self-regulated learning, negotiated decision-making, and ambivalent dependency on AI. While AI technologies provide adaptive support that empowers students to take control of their learning, they also introduce the risk of over-reliance, which may reduce cognitive engagement. This study contributes to the theoretical advancement of student agency by conceptualizing it as a spectrum rather than a fixed attribute, highlighting the dual role of AI as both an enabler and a constraint. The findings offer important pedagogical implications for designing AI-supported STEM learning environments that promote active, reflective, and responsible learning. Future research is recommended to explore this phenomenon across diverse contexts and through longitudinal designs.

Cohabitation—defined as the practice of two unmarried individuals living together in an intimate relationship—presents a growing normative challenge in Indonesian society, which maintains a theistic constitutional foundation while navigating rapid social change. This article examines cohabitation through three juridical lenses: first, the regulatory architecture through which Indonesian law prohibits cohabitation; second, the criminalization framework established under Law Number 1 of 2023 on the National Criminal Code; and third, the practical and theoretical problems that emerge in law enforcement. Employing a normative legal research methodology that integrates statutory, conceptual, and comparative approaches, this study finds that prohibitions against cohabitation are embedded across multiple regulatory layers—spanning marriage law, customary law, codified Islamic law, and regional legislation. The National Criminal Code, through Articles 412 and 413, introduces for the first time an explicit criminalization of cohabitation within Indonesia's post-independence penal codification. Nevertheless, the complaint-based offense structure, evidentiary challenges, and persistent tension between formal norms and social realities produce a substantial implementation gap. The study concludes that legal effectiveness in addressing cohabitation requires coordinated action across criminal enforcement, family institution strengthening, and sustained legal literacy programs.

This study aims to design and develop a web-based waste collection scheduling system using PHP and MySQL at the Environmental Agency of West Sumba Regency. The main problem faced is that the scheduling process is still carried out manually, resulting in inefficiency, susceptibility to errors, and difficulties in monitoring and reporting. The system development method used is the Waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance stages. The developed system provides features for managing data on personnel, regions, vehicles, and structured waste collection scheduling. In addition, the system is equipped with notification features, schedule monitoring, and performance reporting that can be accessed by management. The results of this study indicate that the system improves effectiveness and efficiency in scheduling processes and facilitates supervision of waste collection activities. Therefore, the implementation of this system is expected to optimize and organize waste management in West Sumba Regency.