Publication Search

This research is motivated by the shortcomings in the Indonesian Language Textbook for Grade X Published by the Ministry of Education, Culture, Research, and Technology, Revised Edition 2023, in the form of inconsistent material presentation patterns, imbalance in linguistic and literary aspects, and unequal distribution of materials. This research study aims to assess the content suitability of the Indonesian Language Textbook for Grade X Published by the Ministry of Education, Culture, Research, and Technology, Revised Edition 2023. The method applied in this research is content analysis. The findings of this study indicate that chapters I to VI in the book have met or fulfilled the five indicators of content suitability according to Hartono (2016), although chapter IV is less suitable for the depth and breadth of material indicators because it does not include material on the structure of poetry. However, overall, this textbook is very suitable for use as a primary reference book in learning Indonesian. Thus, this study can be an evaluation material for textbook writers to complement the shortcomings in the next edition of new Indonesian language books.

This research is based on the importance of studying Malay-Jawi religious manuscripts as a source of transmission of Islamic teachings in the archipelago, particularly in the field of monotheism. The study aims to examine the textual content of Jawi manuscripts containing the treatise of monotheism, especially the concept of the sentence of monotheism and the attributes of twenty, and to explain their position in the intellectual tradition of Malay Islam. The research employs This research is based on the importance of studying Malay-Jawi religious manuscripts as a source of transmission of Islamic teachings in the archipelago, particularly in the field of monotheism. The study aims to examine the textual content of Jawi manuscripts containing the treatise of monotheism, especially the concept of the sentence of monotheism and the attributes of twenty, and to explain their position in the intellectual tradition of Malay Islam. The research employs a qualitative method with a philological approach and content analysis. Primary data consist of Jawi manuscripts, while secondary data are obtained through library research. Data were collected through documentation and literature review and analyzed descriptively. The findings reveal that the manuscripts contain systematically arranged monotheistic teachings, including the meaning of lā ilāha illa Allāh through the principles of negation and affirmation, as well as the concept of faith involving the heart, speech, and actions. The manuscripts also explain the twenty attributes within the classifications of nafsiyah, salbiyah, ma‘ani, and ma‘nawiyah, reflecting the theological framework of Ahlussunnah wal Jama‘ah. These manuscripts function as both religious texts and pedagogical media, highlighting the importance of preserving Nusantara Islamic manuscripts as part of the region’s intellectual heritage.

Abstract. This study aims to describe students’ motivation toward online learning at Universitas Negeri Medan and to identify the underlying reasons for such motivation. The research employed a descriptive qualitative design, utilizing the ARCS (Attention, Relevance, Confidence, Satisfaction) motivational model and Expectancy-Value Theory as the theoretical frameworks. Data were collected through an online questionnaire distributed to 34 English Education students and semi-structured interviews with 5 purposively selected participants. The results indicated that all four components of the ARCS model were in the moderate category, with mean scores of 3.16 for Attention, 3.29 for Relevance, 3.20 for Confidence and 3.20 for Satisfaction. While students appreciated the flexibility and accessibility of online materials (high utility value), they frequently experienced boredom and mental fatigue due to limited social interaction and the "artificial" nature of screen based learning (high cost and low intrinsic value). The study concludes that students remain motivated primarily due to professional aspirations rather than engaging instructional designs. These findings suggest that educators should implement more interactive strategies to enhance student engagement in digital environments.

This study aims to examine the existence of dayah as a traditional Islamic educational institution in Aceh in facing the challenges of modernization, as well as to analyze its history, curriculum, and the dynamics of educational transformation within it. This research employs a qualitative approach through library research by collecting data from various sources such as books, scientific journals, research articles, and documents relevant to the topic. The findings indicate that dayah is one of the oldest Islamic educational institutions in Aceh that developed since the early spread of Islam in the Indonesian archipelago and has played an important role in the dissemination of Islamic teachings, moral development, and the formation of social life within the community. The educational system in dayah focuses on the study of classical Islamic texts (kitab kuning) and Islamic sciences through traditional learning methods such as halaqah, religious book studies, and direct learning with teungku or Islamic scholars. Over time, dayah institutions have undergone various transformations through the integration of general subjects, curriculum reform, and improvements in educational management systems in order to remain relevant to modern societal needs. Modernization presents challenges for dayah, particularly in maintaining a balance between tradition and educational innovation. Nevertheless, dayah continues to preserve its Islamic identity while gradually adapting to contemporary developments. Therefore, dayah not only survives as a traditional educational institution but also develops into an adaptive and relevant Islamic educational institution that continues to play a significant role in shaping character and religious values in Acehnese society.

Gorontalo Province has abundant freshwater resources, yet lacks integrated and sustainable aquaculture facilities. This article presents the conceptual design of a Freshwater Fish Aquaculture Center in Gorontalo Province as a response to this condition, applying Ecological Architecture as the primary design approach. The designed area accommodates various activities including freshwater fish cultivation, education, tourism, as well as research and development of fisheries technology. The method used is a qualitative descriptive approach through literature studies, field observations, interviews, and precedent studies. The design results show that the area can be divided into four main zones: the aquaculture zone, education zone, tourism zone, and supporting zone. The ecological approach is realized through the use of natural lighting and ventilation, environmentally friendly materials, an integrated water management system, and the maximization of green open spaces. This design is expected to increase fisheries productivity while promoting community empowerment through educational activities and environmentally sustainable tourism.

The preservation of the nation's collective memory is a very important aspect in maintaining national identity, but its existence today is threatened by physical damage and limited access to information. This study aims to explain effective preservation methods to ensure the sustainability of the collective memory as a historical heritage. The methodology applied is qualitative descriptive by collecting data through literature review and document analysis from various literature sources and regulations related to archives. The results of this study show that the implementation of the current preservation strategy still faces major problems, especially the difference between the expected tennis standards and the reality of limited funds and the ability of human resources to carry out restoration. In addition, the digitalization process has not been fully linked to the planned long-term digital preservation management. The implications of this study show that strengthening the collaboration and technical capabilities of archivists is very important so that all historical artifacts of the nation are maintained in their authenticity, protected, and can be widely accessed by future generations.

The development of fine motor skills and collaborative character is an essential foundation during the golden age period to support children’s academic readiness and social development. However, learning stimulation at Tamalate State Kindergarten is still largely dominated by conventional methods that lack variety and interactive activities. This community service program aims to implement constructive Straw Connectorsmedia as an innovative learning solution to stimulate children’s fine motor skills and cooperative character. The implementation methods included teacher workshops, classroom application with students through collaborative constructive play activities, and evaluation of learning achievements. The findings revealed a significant improvement in children’s fine motor skills, with the average score increasing from 1.67 in the Pre-Test to 3.27 in the Post-Test. Furthermore, 60% of the children achieved the Very Well Developed (BSB) category in collaborative character development. Through the use of Straw Connectorsmedia, students were able to create complex architectural products such as construction bridges and windmills. The study concludes that Straw Connectorsmedia is effective in improving visual-motor coordination, creativity, and collaborative skills while fostering social empathy through interdependent interaction among children during the learning process.

This research aims to examine the potential adaptation of Naval military logistics strategies to optimize humanitarian logistics distribution in remote archipelagic regions. Utilizing a descriptive qualitative method with a Systematic Literature Review (SLR) approach of literature from the 2020-2026 period, this study dissects the concept of Sea-Based Logistics through domain, taxonomic, and componential analyses. The findings indicate that military advantages in floating infrastructure and integrated command chains can effectively bypass distribution barriers in areas lacking port facilities. The study concludes by recommending a military-civilian logistics integration model as a strategic solution for national logistics resilience in coastal areas. The effectiveness of this strategic adaptation relies not only on physical operational aspects but also on the synchronization of budgetary policies and the integration of information technology within the supply chain. From a logistics economics perspective, utilizing naval assets as floating bases mitigates the risk of high costs resulting from post-disaster land infrastructure damage. This synergy necessitates the establishment of collaborative Standard Operating Procedures (SOPs) between military and civilian authorities to create a humanitarian logistics ecosystem that is more resilient, transparent, and capable of responding to crisis dynamics in outlying regions in real-time

The Legal Unit plays a crucial role in ensuring compliance with banking regulations, particularly in managing customer documents related to data protection and legal risk reduction. This study aims to explore the role and performance of the Legal Unit in managing customer files at Bank Sumsel Babel, Kapten A. Rivai Main Branch, and to identify obstacles and possible solutions. The method chosen in this study is qualitative with a descriptive approach. Data were obtained through observation, interviews, and document analysis, which were then analyzed using the interactive model of Miles and Huberman. The research findings indicate that the Legal Unit is responsible for ensuring that document management is carried out regularly, securely, and in accordance with applicable banking regulations. The implementation of Standard Operating Procedures (SOPs), internal supervision, and the use of digital archives contribute to legal compliance and minimize the risk of document loss and information leakage. Problems encountered include limitations in human resources and incompatibility with digital systems. Therefore, improvements in document management technology, training for human resources, and periodic SOP evaluation are needed to improve the effectiveness of the Legal Unit's work and maintain customer trust.

This study examines disaster management strategies in earthquake-prone countries, with a comparative focus on Japan and the Philippines as case studies for lessons applicable to public administration systems worldwide. Using a qualitative comparative analysis approach, the research evaluates institutional frameworks, policy instruments, community engagement mechanisms, and intergovernmental coordination systems deployed in both countries. Japan’s highly centralized yet locally adaptive Disaster Management Basic Act framework is contrasted with the Philippines’ decentralized National Disaster Risk Reduction and Management (NDRRM) system. Findings reveal that effective disaster management hinges on five critical pillars: strong legal frameworks, inter-agency coordination, investment in early warning systems, community resilience programs, and post-disaster recovery governance. The study further identifies that public trust, administrative capacity, and fiscal decentralization significantly influence disaster response outcomes. Lessons drawn from both countries offer practical recommendations for developing nations seeking to strengthen their disaster governance architectures. This research contributes to the growing body of knowledge on comparative public administration and disaster risk reduction, underscoring the imperative of integrated, adaptive, and community-centered governance frameworks in seismically active regions.

This research examines digital charity practices within Christian media communication on YouTube, focusing on two distinct donation formats: marapthon live stream donations (e.g., 24‑hour fundraising events) and sermon‑based donations (offerings collected during or after online worship services). Despite the rapid growth of faith‑based online giving, a critical problem remains: the absence of an integrated system that aligns these two donation models with Christian values of transparency, accountability, and community stewardship. Existing platforms often treat live marapthon and sermon donations separately, leading to fragmented donor experiences and inefficient fund utilization. Therefore, this study aims to develop a conceptual framework for an integrated digital charity system by comparatively analyzing media communication strategies in both donation contexts. The proposed method is a netnographic comparative analysis, involving systematic observation of YouTube comments, chat logs, and video descriptions from 10 Christian channels (5 marapthon‑focused, 5 sermon‑focused) over six months, supplemented by semi‑structured interviews with content creators and donors. The main findings reveal that marapthon donations emphasize urgency and real‑time social proof, while sermon donations rely on theological framing and pastoral trust. The synthesis proposes a hybrid system architecture incorporating real‑time donation tracking, automated acknowledgment, and weekly theological reflection modules. In conclusion, integrating both models into a single development framework enhances donor engagement and aligns digital charity with Christian communication ethics, offering practical guidelines for church‑based YouTubers and platform developers.

PT. X is a textile company that produces greige fabric. One of the crucial stages in the greige fabric production process is inspection. Currently, the facility layout of the inspection area at PT X is still suboptimal. This results in longer fabric movement distances and increased time, leading to delivery delays and higher material handling costs. This study aims to design an optimal facility layout in the inspection area using the Activity Relationship Chart (ARC) method and to determine the distances, times, and costs for the proposed layout. In the initial production layout, the fabric movement distance reached 26,130 meters in one working day, and the fabric movement time was 936 minutes. Furthermore, the initial production layout generated a relatively high OMH of Rp 13,742,980 per month. After designing the facility layout using the Activity Relationship Chart (ARC) and Blockplan methods, the proposed layout was arranged according to the production process sequence, resulting in a smoother material flow. The proposed layout yields 16,830 meters of fabric movement per workday, 660 minutes of required time, and a monthly OMH of Rp 7,945,622, with an efficiency of 39.32%.

Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

This study aims to analyze the transformation of Don’s character in the film Jumbo using K.M. Weiland’s character arc framework. The research employs a qualitative method with a descriptive-interpretative approach. Data were collected through repeated viewing of selected scenes that represent character development, and analyzed based on narrative structure, including exposition, inciting incident, rising conflict, climax, and resolution, as well as supported by visual elements such as facial expressions, gestures, and cinematic composition. The findings reveal that Don’s character undergoes a dynamic and gradual transformation. Initially, he is driven by a strong need for social validation, which develops into a negative change arc as he reinforces false beliefs and exhibits increasingly egoistic behavior. At the climax, Don reaches a critical turning point that triggers self-reflection. Ultimately, he transitions into a positive change arc, demonstrated through empathy, responsibility, and concern for others. This study highlights that character development in film is constructed through the interplay of conflict, social relationships, and a structured narrative process.

Background: Nallaswamy Class III alveolar ridge refers to an edentulous alveolar bone that has undergone resorption, resulting in a moderate ridge height with a knife-edge ridge form. This condition is relatively common and has been reported to reach a prevalence of approximately 89% in edentulous mandibles. Objective: To describe the prosthodontic treatment implications in patients with Nallaswamy Class III alveolar ridge using an acrylic resin removable partial denture (RPD). Case Report: A 22-year-old female patient presented to RSGM Soelastri with complaints of discomfort while chewing due to the loss of several posterior teeth in the mandible. The teeth had been extracted three years earlier due to caries and retained roots. Intraoral examination revealed healthy dentition in the maxillary arch and edentulous areas at teeth 35, 36, 45, and 46 in the mandibular arch. The alveolar ridge in the edentulous area showed a knife-edge form with moderate height, consistent with Nallaswamy Class III. Discussion: The condition was classified as Applegate-Kennedy Class III modification 1P with bilateral bounded saddle areas, which may affect mastication, aesthetics, and speech. Conclusion: Partial edentulism with a knife-edge alveolar ridge can be effectively managed using an acrylic resin removable partial denture.

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.