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This research aims to analyze and compare traditional Islamic education systems in Indonesia, Malaysia, and Thailand, focusing on institutional aspects, education systems, learning methods, and curricula. Using a literature study method with a descriptive qualitative approach, this research examines various relevant literature regarding the dynamics of Islamic education in Southeast Asia. The results show that the three countries share fundamental similarities in educational forms, such as pesantren or pondok, which focus on Islamic sciences and moral cultivation. However, significant differences exist in management patterns and the level of integration with government policies. Indonesia maintains a variety of salaf and modern pesantren, Malaysia exhibits a more structured system integrated with the state, while Thailand specifically in the Patani region tends to be adaptive in response to its Muslim minority status. This comparison concludes that the development of traditional Islamic education systems in each country is heavily influenced by the respective social and political contexts.

. The effort to re-visualize regional architectural elements combined with modern touches is known as neo-vernakular architecture. In North Sumatra, there are various ethnic groups, including Batak, Mandailing, Malay, and others, each possessing rich traditional architectural values. This study aims to identify and analyze traditional architectural elements applied to the façade of the North Sumatra Regional House of Representatives (DPRD) building. The DPRD North Sumatra building is one of the government buildings that functions as a workplace for representatives of the people, council members, and the secretariat in carrying out governmental duties and public services. The building is located on Jalan Imam Bonjol with an area of approximately 8,000 square meters. This study uses a qualitative descriptive method with data collection techniques through direct field surveys and literature studies related to the façade design of the DPRD North Sumatra building. The results show that the neo-vernakular character on the building façade is represented through several architectural elements, such as exposed columns, sunshading, opening forms, and other supporting elements that reflect a combination of traditional and modern architectural features.  

Background: Non-communicable diseases (NCDs) are a major global public health concern, with hypertension affecting an estimated 1.4 billion adults worldwide. In Indonesia, the prevalence of hypertension among individuals aged 18 years and above reached 30.8% in 2023. In Kecamatan Tonjong, Kabupaten Brebes, the number of hypertension sufferers aged 15 years and above reached 15,951 people in 2025. Objective: To implement comprehensive family nursing care for Ny. S, family of Tn. F, who experienced cardiovascular system disorders due to hypertension in Desa Karang Jati RT 01 RW 05, Kecamatan Tonjong, Kabupaten Brebes. Method: This study used a descriptive narrative method with a nursing process approach (assessment, diagnosis, intervention, implementation, and evaluation), conducted through home visits over three days from December 26–28, 2025. Data were collected through interviews, observation, physical examination, and documentation. Results: Two nursing diagnoses were identified: acute pain related to hypertension and knowledge deficit regarding hypertension. Nursing interventions included pain management, oral medication administration (captopril 25 mg), and health education. Complementary non-pharmacological therapy using cucumber juice was applied once daily for three days. Conclusion: After three days of nursing implementation, both nursing diagnoses were fully resolved. Blood pressure decreased from 165/90 mmHg to 132/77 mmHg and the pain scale reduced from 4 to 1. Discharge planning was provided including recommendations for routine blood pressure monitoring, healthy lifestyle, and consistent medication adherence.

Background: Distal radius fracture is the most common fracture of the radius bone near the wrist joint. The prevalence of fractures in Indonesia in 2024 was 3.8%, indicating that approximately 20 million people experienced fractures. Therefore, nursing care planning is required to address musculoskeletal disorders. Objective: To describe the nursing care for patients with Musculoskeletal System Disorders: Post-Op ORIF Fracture of One-Third Distal Radius Dextra. Method: This study used a descriptive narrative method by providing an overview of nursing care through a nursing process approach. Results: Nursing diagnoses that emerged in the patient included acute pain, impaired physical mobility, risk of infection, and knowledge deficit. Interventions performed included pain management, mobilization support, infection prevention, and health education. Conclusion: After two days of nursing implementation, one diagnosis was fully resolved and three diagnoses were partially resolved due to time constraints. Discharge planning was provided including deep breathing relaxation techniques, passive ROM exercises, and wound dressing changes every two days.  

This study designs and implements an up-down counter system based on an AT89C2051 microcontroller programmed in assembly using the MC-51 application. The system modifies an existing digital clock board by mapping the display selector pins, seven-segment segment pins, pushbuttons, and buzzer to the microcontroller ports. The research method consists of literature review, hardware identification, algorithm design, assembly programming, program downloading, and functional testing using a 5 V DC supply. The implementation uses a four-digit common-cathode seven-segment display and a multiplexing routine to show the counter value in real time. The functional test shows that the system can display the initial value, increase the value through the up button, and decrease the value through the down button. The display is readable during operation, and the program can run on the target circuit after being downloaded to the AT89C2051. This study confirms that assembly programming on MC-51 can be applied to implement a simple counter system on a reused digital clock circuit. The main limitations are the absence of explicit button debouncing, overflow and underflow protection, quantitative response-time measurement, and non-volatile data retention.

This study aims to map the trajectory of syntactic acquisition in three-year-old children through syntactic patterns and communicative functions in naturalistic interaction. Using a mixed-methods approach, data from native Indonesian-speaking children were collected over a period of 1.5 months through the involve-conversation technique. Analysis of 80 utterances using frequency distribution, Mean Length of Utterance (MLU), and functional grammar revealed a dominant Subject–Verb–Object (S–V–O) structure (30%) and an MLU of 5.82 morphemes. These findings indicate a developmental transition from telegraphic speech to early multi-clause constructions, reflecting increasing linguistic complexity. Cognitive compensation is marked by the use of pragmatic particles and non-canonical sentence patterns driven by ideational, interpersonal, and textual functions. The results support the usage-based hypothesis, suggesting that early syntactic development is functional, sequential, and non-linear in nature. Furthermore, the study highlights the role of interactional experience in shaping emerging grammatical competence. This classification serves as a micro-longitudinal assessment tool and provides a pedagogical basis for scaffolding interventions aimed at stabilizing complex linguistic patterns and enhancing language development in early childhood education settings.

Congestive Heart Failure (CHF) is a condition in which the heart is unable to pump blood adequately to meet the metabolic needs of the body. CHF is one of the most prevalent cardiovascular disorders globally, nationally, and locally, contributing to significant morbidity and mortality. This study aims to describe a comprehensive nursing care process applied to a patient (Mr. R) diagnosed with CHF at the Mawar 1 Ward of RSUD dr. Soeselo, Tegal Regency. This study used a descriptive case study design. Data were collected through interviews, physical examination, observation, and medical record documentation on February 9–11, 2026. Three nursing diagnoses were identified: ineffective airway clearance related to airway hypersecretion, fatigue related to physiological conditions (chronic disease), and knowledge deficit related to insufficient information exposure. Nursing interventions applied included airway management (semi-Fowler positioning, oxygen therapy, effective coughing technique), energy management (range-of-motion exercise, gradual activity), and health education about CHF. After 2×24 hours of nursing care, all three nursing diagnoses were resolved: airway clearance improved (SpO₂ increased from 91% to 95%, respiratory rate decreased from 28 to 23 times/minute), fatigue decreased, and patient knowledge about CHF improved. Systematic nursing care significantly improved the patient's condition in CHF management.

Background: Acute pharyngitis is an inflammation of the pharynx caused by viral or bacterial infections, frequently resulting in sore throat, fever, and dysphagia. This condition is among the most prevalent acute respiratory tract infections in children and adolescents worldwide, contributing significantly to morbidity and the burden of healthcare services. Objective: This case study aimed to describe the comprehensive nursing care provided to patient An. F with acute pharyngitis at Ward Anggrek 1, RSUD dr. Soeselo, Tegal Regency. Methods: A descriptive study design with a nursing process approach was employed. Data were collected through anamnesis, physical examination, observation, and documentation review. The nursing process encompassed assessment, nursing diagnosis, intervention planning, implementation, and evaluation. Results: Assessment revealed chief complaints of throat pain (NRS scale 5), fever (38.8°C), erythematous tonsils, and nutritional deficit. Three nursing diagnoses were established: acute pain related to physiological injury, hyperthermia related to disease process, and knowledge deficit related to insufficient information exposure. Interventions included pain management, hyperthermia management, and health education. Following two days of nursing care, the patient’s condition significantly improved, with pain scale reduced from 5 to 3 and body temperature normalized to 37.7°C. Conclusion: Comprehensive nursing care incorporating pharmacological and non-pharmacological approaches effectively reduced pain and fever, and improved patient and family health literacy regarding acute pharyngitis.

Stress in older adults needs attention because it can negatively affect physical, emotional, and social well-being, as well as overall quality of life. Elderly individuals living in social welfare institutions are particularly vulnerable to stress due to environmental changes, limited family involvement, loneliness, daily routines, and reduced independence. This study aimed to determine the effect of art painting group activity therapy on stress levels among older adults at Budi Mulia 2 Cengkareng Social Welfare Home. A quantitative pre-experimental study with a one-group pretest-posttest design was conducted involving 33 participants selected through total sampling. Stress levels were measured using the DASS-21 stress subscale. The intervention consisted of four art painting sessions lasting 30–45 minutes each. Data were analyzed using the Wilcoxon test. The mean stress score decreased from 22.18 before the intervention to 15.94 after the intervention. The Wilcoxon test showed a significant difference (p = 0.000), indicating that art painting group activity therapy effectively reduced stress levels among older adults.

Online maps applications have become an essential tool for modern society in finding the fastest and most efficient routes. However, these applications often fail to detect current road conditions such as flooding, demonstrations, accidents, or public events, causing users to get stuck in problematic routes. This study aims to develop a prototype of a community-based road condition reporting system, visualized through a web-based digital map. The system allows users to directly report road conditions by providing photo evidence, descriptions, and event categories. It is also equipped with features for designing event routes such as carnivals and suggesting alternative paths based on community reports. The development process was carried out using a simulation-based approach with scenario testing that reflects real field conditions, without involving direct user data. The implementation results show that all core features work properly. The technologies used include Leaflet.js, OpenStreetMap, and the Nominatim geolocation API. This research produces an adaptive community-based GIS model that can be further developed as an intelligent navigation solution at the city scale

The Free Nutritional Meal Program (MBG) is a government policy that is widely discussed by the public through social media, especially TikTok. Various comments that have emerged indicate differences in public opinion towards the program, so an analysis is needed to determine the tendency of public sentiment. This study aims to analyze TikTok user sentiment towards the Free Nutritional Meal Program using the Naive Bayes method. The research method is carried out through several steps, namely collecting TikTok comment data, preprocessing text, labeling sentiment data into positive, negative, and neutral, feature transformation using TF-IDF, and classification using the Naive Bayes algorithm. Based on the analysis of 500 comment data, the results show that positive sentiment dominates public opinion by 42% (210 data), followed by negative sentiment by 36% (180 data), and neutral sentiment by 22% (110 data). Testing the classification model using Naive Bayes produces excellent performance with an accuracy rate of 86%, precision of 84%, recall of 85%, and F1-score of 84%. The conclusion of this study shows that the Naive Bayes method is effective as an approach in social media sentiment analysis to map public responses to government policies.

This study examines the role of the creative economy in enhancing sustainable tourism potential in Pampang Cultural Village, Samarinda, Indonesia, and identifies strategic priorities for its development. Pampang Cultural Village is recognized for its rich cultural heritage preserved by the Dayak Kenyah community, which serves as a valuable tourism asset. Despite this potential, the contribution of creative economy activities to tourism development has not been fully optimized. Therefore, a comprehensive analysis is needed to formulate effective development strategies. This research employs a mixed qualitative–quantitative approach using the SWOT-AHP method. SWOT analysis is utilized to identify internal strengths and weaknesses as well as external opportunities and threats affecting creative economy development. Subsequently, the Analytic Hierarchy Process (AHP) is applied to determine the priority level of each strategic factor and alternative strategy. The findings indicate that the village possesses significant creative economy potential in cultural performances, handicrafts, culinary products, traditional fashion, and cultural souvenirs. Cultural authenticity emerges as the primary strength, while limited innovation capacity and digital marketing skills remain the major weaknesses. The results further reveal that the highest-priority strategy is the development of innovative creative tourism products rooted in Dayak Kenyah cultural heritage while preserving cultural authenticity. This strategy should be supported by digital promotion, human resource capacity building, stakeholder collaboration, and improvements in tourism infrastructure to achieve sustainable tourism development.

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

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.

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.

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.

Consumption of sweetened coffee with various mixtures has become an unhealthy habit for the younger generation. Kopi Babah Kacamata, a legendary tubruk coffee in Salatiga, has been affected by this change. Many people are still unaware of the brand and the consumption of black coffee is declining. Therefore, this research will discuss the positive impact of consuming tubruk coffee with the Kopi Babah Kacamata brand as a soft selling medium for young people. This research uses mixed-sequel exploratory method and linear strategy in its design. The results of this study can be concluded that promotional videos with a storytelling approach for Kopi Babah Kacamata effectively introduce to the target audience.

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.

Phishing is one of the most common and dangerous cyber attacks as it can trick users into providing sensitive information such as usernames, passwords, and personal data. This study aims to simulate Phishing techniques using the Zphisher tool as an educational medium to improve cybersecurity awareness. The method used is a quasi-experimental approach involving 30 participants exposed to Phishing scenarios in a controlled environment using Kali Linux. The results show that 83% of participants clicked the Phishing link and 60% entered their credentials, while 40% demonstrated awareness by avoiding further interaction. These findings indicate that cybersecurity awareness is still relatively low, but Phishing simulation is effective as an experiential learning tool.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.