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This study aims to explain the effectiveness of assessment in the learning process, focusing on improving student outcomes at SDN Larangan Tokol 1 Pamekasan. This research applies a qualitative methodology categorized as a descriptive study. Data collection was carried out through observation, interview sessions, and document analysis involving teachers and students at SDN Larangan Tokol 1 Pamekasan The findings of the study indicate that the implementation of learning process evaluation is conducted systematically and continuously through question and answer activities, daily assignments, group discussions, learning practice, daily tests, as well as the assessment of students’ attitudes and skills. Teachers use various strategies to improve the effectiveness of learning evaluation, such as the use of varied teaching methods, providing motivation, habituation of discipline, utilization of learning media, and the implementation of remedial and enrichment programs.Supporting factors for the effectiveness of learning evaluation include the support of the principal, teacher competence, parental support, and the availability of learning facilities. Meanwhile, the obstacles include differences in students’ learning abilities, lack of motivation among some students, and limited availability of certain learning media.The assessment of the learning process contributes effectively to improving students’ academic achievement, shaping discipline and responsibility character, as well as increasing students’ participation and collaboration in the ongoing learning process. Therefore, learning assessment plays a crucial role in creating an effective learning process and improving student achievement at SDN Larangan Tokol 1 Pamekasan.

Concrete volume calculation is a crucial factor in preventing cost overruns when preparing the Budget Plan (RAB) for construction projects. In arch bridge projects, the complex structural geometry often makes conventional volume calculation methods complicated and prone to errors, particularly due to the geometric complexity of the arch beams. This study aims to analyze the comparison of concrete volume calculation results between the conventional method and the Building Information Modeling (BIM) method using Autodesk Revit in terms of cost-effectiveness. The case study was conducted on the Short Span II Pulau Balang Bridge Duplication Project in the Nusantara Capital City (IKN), Penajam Paser Utara Regency, East Kalimantan. The research objects include substructures (bore piles, pile caps, abutments, piers, and wing walls) and superstructures in the form of arch beams. The research method employs a quantitative approach by calculating concrete volumes conventionally using AutoCAD and Microsoft Excel, as well as calculating with BIM Autodesk Revit through three-dimensional modeling and Quantity Take-Off (QTO) exports. The results indicate that the BIM Autodesk Revit method generates a larger concrete volume compared to the conventional method, resulting in a higher total cost based on the BIM volume. The total cost for the conventional method amounted to IDR 142,613,245,996.12, while the BIM Autodesk Revit method amounted to IDR 143,127,208,186.60. These differences are influenced by the level of calculation detail, the simplification of shapes in the conventional method, and the precision of modeling in Autodesk Revit.

This study aims to reconstruct a Greek Exegesis learning model based on formative hermeneutics by integrating syntactic analysis with the spiritual transformation of theology students. Traditional Greek instruction often emphasizes technical grammar and textual translation, thereby creating a gap between academic rigor, interpretive sensitivity, and spiritual formation. To address this issue, the present research develops and evaluates an instructional model that positions grammatical inquiry not merely as a linguistic exercise, but as a formative process for understanding Scripture responsibly. This research employs a quantitative descriptive-correlational design involving 30 theology students as participants. Data were collected through syntactic analysis tests and Likert-scale instruments measuring hermeneutical awareness and spiritual disposition. The results show that the implementation of the formative hermeneutical model achieved a high effectiveness level of 81.7%. Students’ syntactic competence reached 78%, which falls into the good category, while spiritual transformation attained 84.8%, categorized as very good. These findings indicate that the model significantly improves both analytical competence and spiritual development. This study proposes an integrative pedagogical framework in which syntactic analysis functions as a formative hermeneutical practice that shapes theological virtues, interpretive responsibility, faith maturity, and holistic ministerial readiness among theology students within diverse contemporary theological education contexts and ministries.

The Role of Leadership in the Implementation of Employee Performance Supervision at the Manpower and Transmigration Office at the Regional Manpower Supervisory Agency (UPTD) for Regional Manpower Supervisory Agency (Balai Wasnaker) 1. This study aims to determine the role of leadership in the implementation of employee performance supervision. Effective leadership is an important factor in ensuring that employees perform their duties and responsibilities in accordance with organizational goals and established regulations. The research method used was descriptive qualitative, with data collection techniques through observation, interviews, and documentation. Informants were selected based on their involvement in supervision activities and understanding of employee performance management. The results indicate that leadership plays a significant role through direction, coaching, monitoring, and evaluation of employee performance. Employee performance is generally quite good, but supervision has not been optimal due to limited time, diverse tasks, and inconsistent evaluation follow-up. In addition, communication and coordination between leaders and employees influence the effectiveness of supervision. Therefore, the implementation of leadership-supported supervision has a positive impact on employee discipline, responsibility, and work effectiveness, but there is still a need for improvement in the consistency of employee supervision and coaching to achieve optimal organizational performance.

Discrimination in the workplace is a problem that can hinder the creation of a fair and inclusive work environment. Discrimination can take the form of differential treatment of employees based on gender, race, religion, disability, sexual orientation, or other factors unrelated to individual performance and competence. To address this issue, the law plays a crucial role in providing employee protection to ensure equality and non-discrimination in the workplace. Various legal instruments, both national and international, regulate employee protection from discrimination, including the Employment Law, the Human Rights Law, and conventions issued by the International Labour Organization (ILO). However, the effective implementation of these regulations remains a challenge, particularly in terms of implementation, enforcement, and employee awareness of their rights. This study aims to analyze the role of law in protecting employees from discrimination in the workplace by examining applicable regulations and the challenges in their implementation. The research method used is a normative juridical method, which focuses on the study of relevant laws and legal principles. The analysis is conducted on national legal provisions and international legal instruments as references for protecting workers from discrimination. Furthermore, this study identifies barriers to legal implementation and offers recommendations to improve the effectiveness of legal protection for employees. This analysis is expected to provide insight into the urgency of regulatory reform and strengthening so that the law can play an optimal role in creating a fairer and more discrimination-free work environment.

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.

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.

This study examines the transformation of financial management through the implementation of digital accounting in PPOB (Payment Point Online Bank) businesses, which still face manual recording problems such as input errors, delayed reconciliations, and data discrepancies. The research used a descriptive qualitative method with a case study approach involving PPOB agents in Sidoarjo. Data were collected through observation, interviews, and documentation. The findings show that digital accounting significantly improves operational efficiency through automated transaction recording, real-time data integration, and faster as well as more accurate reconciliation processes. In addition, features such as automatic validation, API integration, and audit trails help minimize recording errors and maintain data consistency. The implementation of digital accounting also supports transparency and improves the quality of financial information used in decision-making. Although challenges remain regarding agents’ technological understanding and infrastructure readiness, overall implementation has provided positive impacts on financial management effectiveness and business operations in PPOB services, making processes more efficient, accurate, and reliable.

Communication within the family, especially between parents and children, is an important foundation for the development of a child's personality, emotions, and social skills. The purpose of this writing is to identify the types of parental communication styles, analyze the factors that influence them, examine their impact on child development, and provide practical recommendations to improve the effectiveness of communication patterns within the family. The method used in writing this paper is a literature study. The discussion results show that there are three main types of parental communication styles: permissive, authoritarian, and democratic. The permissive style tends to give the child unlimited freedom, the authoritarian style emphasizes control and obedience, while the democratic style encourages openness and mutual respect. The choice of communication style is influenced by various factors such as educational background, culture, past experiences, and the socio-economic conditions of parents. Each communication style has a different impact on the emotional, social, and cognitive development of children. The democratic style is considered the most effective in optimally supporting child development. This article provides recommendations to parents to increase knowledge about dialogical-based parenting, practice assertive communication skills, give children space to express their opinions, and build a family culture that is open and mutually respectful.

Allergic rhinitis (AR) is a chronic inflammatory disorder of the nasal mucosa mediated by immunoglobulin E (IgE) in response to allergen exposure. This condition has become a significant global health concern because of its increasing prevalence and substantial impact on quality of life, sleep, cognitive function, and work productivity. AR is also commonly associated with other atopic diseases, including asthma and atopic dermatitis. This article aims to review the current understanding of allergic rhinitis, focusing on epidemiology, pathophysiology, clinical manifestations, diagnostic approaches, and evidence-based management strategies. This study used a narrative literature review method by analyzing scientific articles, clinical guidelines, and peer-reviewed journals published between 2015 and 2025. Literature sources were obtained from PubMed, Google Scholar, and relevant medical databases using keywords related to allergic rhinitis, IgE, diagnosis, and immunotherapy. The findings indicate that allergic rhinitis involves complex immune mechanisms characterized by Th2 lymphocyte activation, IgE production, and inflammatory mediator release. Diagnosis is primarily established clinically and supported by allergy testing such as skin prick tests or serum-specific IgE measurement. Intranasal corticosteroids remain the first-line therapy for moderate to severe cases, while antihistamines and leukotriene receptor antagonists are used as adjunctive therapies. Allergen immunotherapy has shown effectiveness in modifying disease progression and improving long-term outcomes. In conclusion, allergic rhinitis is a manageable chronic disease that requires a comprehensive and individualized treatment approach involving environmental control, pharmacotherapy, and immunotherapy.

Educational planning management is an essential process in managing educational institutions to achieve educational goals effectively and efficiently. One form of implementing educational planning management is through the preparation of the Madrasah Work Plan (RKM) and School Work Plan (RKS). This article aims to describe the concept of educational planning management through the preparation of RKM/RKS, their objectives, preparation processes, and implementation in schools and madrasahs. The research method used is library research with a qualitative descriptive approach by collecting data from books, scientific journals, government regulations, and other supporting documents. The results of the study indicate that RKM/RKS has a strategic role as a guideline for implementing educational programs, a basis for decision-making, an evaluation tool, and an instrument for improving the quality of education. The preparation of RKM/RKS is carried out systematically through team formation, school/madrasah self-evaluation, formulation of priority programs, preparation of medium-term and annual work plans, and budgeting plans. Proper implementation of RKM/RKS can improve the effectiveness of educational management, accountability, transparency, and the quality of educational services in schools and madrasahs.

This study aims to map the trends, integration forms, effectiveness, and contribution of ethnomathematics in elementary school mathematics learning toward national cultural preservation. A systematic literature review (SLR) approach following the PRISMA 2020 protocol was employed. Searches across four academic databases (Scopus, Google Scholar, CrossRef, and Semantic Scholar) yielded 1,176 articles, from which 30 articles met the inclusion criteria. Results indicate that ethnomathematics research in elementary schools has increased significantly during 2023–2026, particularly following the implementation of Kurikulum Merdeka. The three most dominant forms of integration are digital modules and media (53.3%), traditional games (33.3%), and ethnomathematics-based worksheets (13.3%). Geometry and measurement is the most researched mathematics topic (50.0%), and conceptual understanding shows the most significant improvement (40.0%). Beyond improving mathematics achievement, ethnomathematics integration contributes to cultural preservation through cultural contextualization in learning (60.0%), strengthening cultural identity and values (26.7%), and active local cultural preservation (10.0%). The study recommends teacher training, curriculum policy strengthening, cross-sector collaboration, and further research to sustain ethnomathematics implementation in Indonesian elementary schools.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

TPS 3R is a community-based waste management approach aimed at reducing waste generation through reduce, reuse, and recycle activities. However, the operational sustainability of TPS 3R still faces several challenges,including  waste processing effectiveness, and community participation. This study aims to analyze the community’s Willingness to Pay (WTP) for waste management fees and to formulate priority recommendations for improving the performance of TPS 3R Banjar Sugihan using the Quality Function Deployment (QFD) method. The research was conducted in Banjar Sugihan Village, Tandes District, Surabaya City, involving 563 household respondents. WTP analysis was carried out using the bidding game method, while QFD analysis was conducted through the preparation of the House of Quality (HoQ). The results showed that the community’s WTP ranged from IDR 16,000 to IDR 19,000 per month. If applied to all 3,758 households in Banjar Sugihan Village, the potential retribution revenue is estimated to reach IDR 60,128,000–IDR 71,402,000 per month. The QFD analysis indicated that the priority strategies for improving TPS 3R performance include enhancing infrastructure facilities, optimizing waste sorting and processing, increasing waste processing capacity, strengthening human resource capacity, and implementing a WTP-based retribution system. Therefore, the implementation of a WTP-based retribution system and priority strategies derived from QFD analysis are expected to support the sustainability of waste management at TPS 3R Banjar Sugihan.

This study aims to analyze the implementation of good governance principles in digital population administration services in Medan Marelan Subdistrict from the perspective of Administrative Law. The background of this research is based on the importance of digital transformation in public services through the Electronic-Based Government System (SPBE) to enhance transparency, accountability, effectiveness, and efficiency. However, in practice, several obstacles are still encountered, such as limited infrastructure, network disruptions, and limited human resources. This research employs an empirical legal research method with both empirical and statutory approaches. Data were collected through field research, including interviews with subdistrict officials and the community, as well as library research involving laws, regulations, and relevant literature. The data were analyzed qualitatively to examine the conformity between the implementation of services and the principles of good governance and general principles of good administration (AUPB). The results show that the implementation of good governance principles in digital population services in Medan Marelan Subdistrict has not been fully optimal. This is indicated by challenges in information transparency, system effectiveness, and limitations in human resources and infrastructure. Nevertheless, digital services have provided convenience for the community in accessing population administration services. In conclusion, improvements in human resources quality, technological infrastructure, and the strengthening of supervision and evaluation mechanisms are necessary to achieve public services that align with good governance principles.

The increase in medical disputes in Indonesia occurs along with the development of health services and increasing public legal awareness. Dispute resolution through litigation is often considered ineffective because it takes a long time, is expensive, and creates a confrontational relationship between medical personnel and patients. Therefore, mediation is present as an alternative dispute resolution that prioritizes deliberation, communication, and mutual agreement. This study aims to analyze the regulation, implementation, and effectiveness of mediation as an alternative resolution of medical disputes based on Supreme Court Regulation Number 1 of 2016 concerning Mediation Procedures in Court. The research method used is normative legal research with a statutory, conceptual, and case approach. Data were obtained through literature and document studies, then analyzed descriptively qualitatively. The results of the study indicate that mediation has a strong legal basis and provides various advantages, such as a faster resolution process, lower costs, maintaining confidentiality, and being able to maintain good relationships between medical personnel and patients. However, the implementation of mediation still faces obstacles such as low public understanding, limited mediators who have competence in the health sector, and a legal culture that still tends to be litigative. Therefore, optimization is needed through improving mediator competence, strengthening public legal awareness, and maximizing mediation implementation to achieve fair, effective, and humane dispute resolution.

This study examines the controversy surrounding the granting of investigative authority over electoral crimes to the Election Supervisory Body (Bawaslu) within the framework of the Integrated Law Enforcement Center (Sentra Gakkumdu). The research problem focuses on whether investigative authority should be directly assigned to Bawaslu and the main factors contributing to the suboptimal enforcement of electoral law in Indonesia. The study aims to analyze the effectiveness of the institutional design of Sentra Gakkumdu and to formulate an ideal model for electoral law enforcement in Indonesia. This research employs a normative legal method with statutory, conceptual, and comparative approaches. The analysis is strengthened through bibliometric mapping using the VOSviewer application to examine the development of studies on electoral law enforcement and institutional design, as well as by comparing Indonesia’s electoral law enforcement system with those of Norway, New Zealand, and Sweden. The findings indicate that the primary issue does not lie in the absence of investigative authority within Bawaslu, but rather in the limited investigation timeframe, weak interinstitutional coordination, and inflexible regulations.

The development of information technology has encouraged the transformation of government administration toward digital-based governance, including correspondence management systems. Digital correspondence governance plays an important role in improving administrative effectiveness, bureaucratic efficiency, and the quality of public services. However, the implementation of digital correspondence systems in local government institutions still faces several challenges, including limited system integration, inadequate human resource capacity, and unstandardized electronic archive management. This study aims to analyze and construct a digital correspondence governance model in realizing administrative effectiveness at Dinas Komunikasi, Informatika, Statistik dan Persandian Kabupaten Gowa. This study employed a qualitative approach with a descriptive research type. Data collection techniques were conducted through observation, in-depth interviews, and documentation. Research informants were selected using purposive sampling techniques, while data analysis employed the interactive model of Miles, Huberman, and Saldaña through data condensation, data display, and conclusion drawing. The results indicate that the implementation of digital correspondence governance has improved the speed of document disposition, administrative efficiency, accessibility of documents, and organizational work coordination. However, the implementation has not been fully optimal due to constraints in system integration, human resource capacity, and digital archive management. This study produced a digital correspondence governance model emphasizing the strengthening of information technology, enhancement of employee competence, integration of administrative systems, and development of a digital work culture. It is recommended that government institutions strengthen the integration of digital correspondence systems, improve employee competencies, and establish sustainable electronic archive management standards.

The role of citizenship education is fundamental in internalizing the values of nationalism and ethics within a society. This research is motivated by the increasing challenges of globalization and moral degradation that threaten the national identity of the younger generation. The primary objective of this study is to analyze the strategic role of citizenship education in shaping and strengthening national character within the Indonesian context. The research employs a qualitative descriptive method, utilizing literature reviews and thematic analysis of educational policies and social phenomena. The findings indicate that citizenship education serves as a vital instrument not only for transferring political knowledge but also for fostering civic disposition, including integrity, tolerance, and social responsibility. Furthermore, the integration of local wisdom within the curriculum significantly enhances the effectiveness of character building. The implications of this study suggest that a revitalized citizenship education curriculum, which adapts to digital era challenges, is essential for maintaining social cohesion. Stakeholders in the education sector must prioritize interactive and participatory pedagogical approaches to ensure that national character values are not merely memorized but practiced in daily life, thereby ensuring the long-term sustainability of the nation's democratic values.

This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.