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The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

The use of synthetic dyes in the textile industry has caused various environmental problems due to waste that is difficult to degrade and has the potential to contaminate water and soil. Therefore, the development of environmentally friendly natural dyes is an important alternative to be explored. One potential but underutilized source of natural dye is kirinyuh weed (Chromolaena odorata L.), which is known to contain natural pigment compounds such as tannins and flavonoids. This study aims to analyze the dyeing quality of primissima cotton fabric using kirinyuh leaf extract with variations of alum and ferrous mordants through a mordanting process. The research employed an experimental method, including hot extraction of kirinyuh leaves, dyeing of primissima cotton fabric, and mordanting using alum and ferrous salts. The evaluation of dyeing quality focused on washing color fastness and light color fastness tests based on standard textile testing methods. The results indicate that the type of mordant significantly affects the resulting color quality. Alum mordant produced relatively lighter colors with good washing fastness, while ferrous mordant resulted in darker shades with similarly good washing fastness. However, color fastness to light showed relatively lower values, particularly in fabrics treated with alum mordant. Based on these findings, it can be concluded that kirinyuh leaf extract has the potential to be used as a natural dye for primissima cotton fabric, although further optimization is required to improve color resistance to light exposure.

Introduction: Ramadan fasting is a religious practice observed by Muslims by abstaining from food and drink from dawn until sunset. These changes may increase the need for oral and dental healthcare. However, some Muslims still perceive that undergoing dental treatment while fasting may invalidate the fast, leading many patients to delay or avoid dental visits during Ramadan. Objective: This study aims to review and analyse various scientific literature regarding the safety and permissibility of dental procedures for patients who are observing fasting during Ramadan. Methods: This study used a narrative review method by searching scientific articles through PubMed, ScienceDirect, and Google Scholar databases using keywords relevant to the research topic. Articles were selected based on predetermined inclusion and exclusion criteria. Results: The review findings indicate that most dental procedures, such as local anaesthesia administration, scaling, restorative treatment, and tooth extraction, generally do not invalidate fasting as long as no material or fluid is intentionally swallowed. The use of suction devices, isolation of the treatment area, and proper scheduling of dental procedures are important factors in minimizing the risk of swallowing fluids during treatment. Conclusion: Most dental procedures can be safely performed on fasting patients while still considering both medical aspects and Islamic principles. Patient education regarding the safety of dental procedures during fasting should be improved to prevent delays in treatment and complications in oral health.

This article analyzes the recurring flash floods in North Konawe Regency which occurred in 2000, 2013, 2016, 2018, 2019, 2020, and 2021 as ecological disasters causally linked to three decades of natural resource exploitation through logging, oil palm plantations, and open-pit nickel mining. Using the dual framework of political ecology and environmental justice, this article argues that these disasters are not neutral natural events, but rather the product of a structured system of injustice: the indigenous Culambacu People and Tolaki People communities who were excluded from decision-making processes regarding extractive permits have borne the greatest burden of the destructive impacts of such exploitation. The most dramatic event was the 2019 flood that devastated Tapuwatu Village, causing losses amounting to Rp 674.8 billion and displacing 9,908 people. The findings demonstrate that the dominant government narrative framing the floods as “natural disasters caused by high rainfall” constitutes a strategic denial that obscures structural responsibility. Empirical data including rates of deforestation, exceeded river carrying capacity, and the chronology of concession expansion correlated with disaster escalation support the ecological disaster thesis. Persistent poverty amid abundant natural resource wealth confirms the condition of a “sacrifice zone,” characterized simultaneously by distributive, recognitional, and procedural injustices.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

Cigarette smoke is a major source of free radicals that can cause various health problems, including disturbances in the male reproductive system. Nicotine and other harmful compounds in cigarettes increase oxidative stress and interfere with spermatogenesis. Gotu Kola (Centella asiatica) is a medicinal plant known for its antioxidant properties that may help neutralize free radicals. This study aimed to determine the effect of Gotu Kola leaf extract on the histopathological features of the testes in male Wistar rats exposed to cigarette smoke. An experimental study using a Post-Test Only Control Group Design was conducted on 24 rats divided into six groups: a normal group, a negative control group exposed to cigarette smoke, a positive control group treated with vitamin E, and three treatment groups receiving Gotu Kola extract at doses of 120, 180, and 240 mg/kg body weight for 28 days. The observed parameters were Leydig cell count and seminiferous tubule diameter. One-way ANOVA analysis showed that Gotu Kola extract significantly increased Leydig cell numbers and seminiferous tubule diameter in all treatment groups compared to the negative control group (p < 0.05). Post hoc analysis demonstrated significant differences in tubule diameter, with the highest improvement observed at the 240 mg/kg body weight dose. These findings indicate that Gotu Kola extract has potential protective effects against testicular damage caused by cigarette smoke exposure.

  Red dragon fruit contains bioactive compounds such as vitamin C, flavonoids, and polyphenols that have antioxidant potential and possess natural pigments that can be used as cosmetic colorants. This study aims to formulate and evaluate a blush-on powder preparation from dragon fruit pulp extract as an alternative natural colorant. The evaluation includes organoleptic testing, homogeneity, pH, irritation, spreadability, fineness, moisture content, and antioxidant activity. The results showed that the formulation met most of the requirements, exhibiting a pink color, a smooth texture, no odor, homogeneity, a pH of 6 suitable for the skin, no irritation, even spreadability within 4 applications, a fineness degree of 97.6%, and a moisture content of 6.91%. Antioxidant activity showed an IC₅₀ value of 0.3036 ppm (very strong), although the relative inhibition percentage was low (18.35%). Thus, dragon fruit extract has the potential as a natural ingredient in blush-on powder that provides both color and antioxidant benefits.

This research investigates the integration of the creative economy as a catalyst for sustainable tourism development within Kutai National Park (KNP), East Kalimantan. Despite its ecological significance as a lowland rainforest and Orangutan habitat, KNP faces stagnation due to a reliance on extractive resources and a lack of diversified tourism products. Employing a qualitative descriptive methodology and SWOT analysis, this study maps the creative potential of the region and evaluates its impact across four sustainability pillars: economic, social, environmental, and institutional. Data were gathered through field observations and in-depth interviews with park authorities, local government officials, and creative entrepreneurs in the buffer zones of Sangatta and Bontang. The findings reveal significant potential in non-timber forest-based culinary arts, modernized ethnic crafts, and digital wildlife storytelling. A critical institutional barrier identified is the "sectoral ego" between conservation authorities and local governments. The study proposes a strategic shift toward a "Green Creative Hub" model, emphasizing that sound governance and institutional synchronization are essential for balancing conservation with economic empowerment. This research provides a roadmap for policy-makers to transition from extractive-based livelihoods to a knowledge-based service economy that preserves the integrity of protected landscapes.

The optimal therapeutic impact of local vaginal drug delivery systems is strongly influenced by the physical characteristics balance of Solid Vaginal Suppositories. A comprehensive review regarding the comparison of mechanical profiles, specifically melting time and crushing strength parameters, from various base classifications constitutes the primary objective of this literature research. The implementation of a Literature Review study design was executed through the extraction of empirical data from twelve experimental journals published within the last ten years. Excessively rapid phase transformation characteristics at physiological basal temperatures and low compression resistance were consistently demonstrated by lipophilic bases such as Oleum Cacao. The risk of structural deformation during the distribution process is highly susceptible to unmodified lipid preparations. High surface elasticity accompanied by a delay in molecular hydration duration reaching 120 minutes was recorded in the utilization of Glycerinated Gelatin Base. Structural rigidity exceeding 4 kgF and disintegration time efficiency under 60 minutes were optimally demonstrated by Polyethylene Glycol (PEG) Base. An enhancement in mechanical resistance against external shocks during the storage period is offered by the thorough modification of the synthetic polymer ratios. Therefore, the determination of the PEG base as the most optimal material is recommended to maintain the quality stability of pharmaceutical products. Compendial regulation standards regarding the physical strength testing of pharmaceutical preparations must be obeyed by every institution to ensure long-term treatment effectiveness. Thus, the alignment between active substance release duration and physical preparation endurance can be realized for absolute patient comfort.

This research critically investigates the circulation of disinformation concerning the instability of fuel prices on the digital platform X and its subsequent implications for the polarization of modern society. In an era where unverified economic news frequently dictates public reaction, fake news often acts as a potent catalyst for mass anxiety. By implementing a quantitative framework driven by lexicon-based computational sentiment analysis, this study effectively processed a dataset of 500 public opinion samples extracted via Google Colab spanning from April 2024 to April 2026. To ensure computational accuracy and eliminate textual noise, the data underwent a rigorous preprocessing phase encompassing case folding, alongside the systematic removal of URLs, account mentions, numbers, hashtags, and punctuation marks. The statistical outcomes revealed a highly disproportionate emotional landscape, overwhelmingly dominated by 451 negative reviews. In stark contrast, neutral observations and positive affirmations were nearly absent, recording only 40 and 9 instances, respectively. The data compellingly illustrates that the relentless influx of pessimistic narratives regarding economic instability directly induces financial panic, undermines rational discourse, and severely fragments cyberspace into deeply polarized factions.

The oil and gas industry requires efficient initial processing to separate reservoir fluids into oil, gas, and water phases. The Separator Unit is the main facility that plays a vital role in the surface facility production stage. This study aims to evaluate the type of separator used, identify control components, and understand the working principles and operational procedures of separators in the Main Production Facility (MPF) area. The methodology used is direct observation and literature studies during the implementation of practical work in July 2024 at PT. Citic Seram Energy Limited, Seram Non Bula Block, Maluku. The observation results show that the type of separator used is a Horizontal Three Phase Separator with tag codes 03-V-001A and 03-V-001B operating alternately. The separation process is carried out based on differences in fluid density utilizing gravity, supported by internal components such as deflector plates, mist extractors, weirs, and straightening vanes. Separator operation is maintained at an operating pressure of around 55 psig to ensure optimal separation efficiency and work safety. The conclusion of this study indicates that effective separator operation requires stable pressure and temperature control as well as routine maintenance to prevent sediment buildup and maintain product quality.

The exploitation of natural resources in coastal areas and small islands in Indonesia shows the strong influence of the ideology of extractive capitalism. This ideology often causes ecological conflicts. For example, in the case of the rejection of gold mining that occurred on Sangihe Island, North Sulawesi. This article examines the contemporary Indonesian novel Perempuan yang Tunggu di Lorong Menuju Laut by Dian Purnomo in representing this problem. This study is a qualitative study with an interdisciplinary approach. The main theoretical framework used is ecocriticism (Glotfelty & Buell), extractive capitalism (Gudynas, Harvey, and Bebbington), and the concept of slow violence (Nixon) with a close reading method of the text. The results of the study show that the novel represents: the ideology of anthropocentric-extractive capitalism that reduces Sangihe Island to an economic commodity; dismantles the mechanism of power that conquers law and politics through the practice of elite and ruler collusion; displays the ecocentric resistance of the Sangihe community based on ancestral wisdom and spirituality. In conclusion, this novel voices an ideological critique of the hegemony of anthropocentrism and extractive capitalism and calls for a just and sustainable ecological awareness. Given the novel's limited data, further studies could consider exploring other research subjects or developing a theory of this research subject.

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.

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.

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 moral crisis in contemporary education demands a reconstruction of moral values derived from the Qur'an as the epistemological foundation of Islamic education. This study aims to identify and analyze the moral educational values found in Surah Al-Imran, verse 159, particularly through the perspectives of Ibn Kathir’s tafsir and Quraish Shihab’s Tafsir Al-Misbah, and formulate its implications for contemporary Islamic education practices. Using a qualitative approach with a library research method, this study analyzes primary data from Ibn Kathir’s tafsir and Tafsir Al-Misbah, confronted with secondary literature on moral education theory. The analysis technique used was content analysis with a comparative-analytical approach to extract both explicit and implicit moral educational values. The findings revealed three fundamental values: first, gentleness (ar-rifq) as a humanistic pedagogical communication method; second, forgiveness (al-‘afw) as a mechanism for restoring educational relationships; third, consultation (asy-syura) as a democratic principle in educational decision-making. This study concludes that these values are not merely individual ethics but methodological principles that must be integrated into the culture of Islamic educational institutions. Practically, this requires a transformation from authoritarian-monological to dialogical-participatory educational approaches and strengthening educators' socio-emotional competencies.

This study aims to analyze promiscuous sexual behavior among adolescents as a manifestation of problematic behavior through a literature review approach. The method used was a literature review with a descriptive-analytical design, analyzing 20 national scientific articles published between 2007 and 2024. The analysis process was conducted systematically through the stages of identifying relevant sources, classifying themes, extracting important data, and synthesizing findings to build a comprehensive conceptual framework. The study results were then grouped into four main aspects: internal factors, external factors, impacts, and prevention strategies. The study results indicate that promiscuous sexual behavior among adolescents is influenced by internal factors such as knowledge, attitudes, and moral reasoning, as well as external factors such as family environment, peers, social media, and lack of parental supervision. The resulting impacts are multidimensional, encompassing health (sexually transmitted infections and unplanned pregnancies), psychological (anxiety, guilt), and social (stigma and educational disruption). Effective prevention efforts involve comprehensive sex education, active family involvement, and collaboration between schools and the community.

Accurate classification of rainfall intensity patterns is important for early warning systems, hydrometeorological risk assessment, and water resource management. Surface rain gauges have limited spatial coverage, so this study uses NOAA NEXRAD Level II radar data from the KTLX station in 2023. K-Means clustering was applied to identify rainfall intensity patterns from 30 randomly selected days, with scans stratified into four daily time intervals. Seven features were extracted from each radar sweep, including reflectivity statistics, convective and stratiform ratios, and rainfall coverage. The data were normalized and balanced before clustering. The optimal cluster count was determined through a combined evaluation of the Elbow Method, Silhouette Score, and Davies-Bouldin Index, yielding K=5 as the most representative configuration. Evaluation results demonstrated a Silhouette Score of 0.3871 and a Davies-Bouldin Index of 0.8599, indicating moderate cluster cohesion that reflects the inherent overlapping nature of rainfall intensity transitions in radar reflectivity data. The clusters represent rainfall regimes from non-precipitating conditions to intense convective events. These results support the use of K-Means for automated rainfall pattern recognition and flood forecasting applications. 

Strawberries are horticultural commodities that are highly susceptible to postharvest deterioration due to their high respiration rate, microbial activity, and oxidative degradation, resulting in a relatively short shelf life. This study aimed to evaluate the effectiveness of edible coatings in extending strawberry shelf life through a systematic literature review (SLR) approach. Literature was collected from several scientific databases using keywords related to edible coating, shelf life, and strawberry, covering publications from 2019–2026. From an initial 109 articles, a selection process based on inclusion and exclusion criteria resulted in 35 articles specifically discussing the application of edible coatings on strawberries. The synthesis results showed that all studies reported an extension of shelf life after edible coating application, although the effectiveness was influenced by the type of material, formulation, and storage conditions. Chitosan was the most widely used coating material due to its natural antimicrobial activity and excellent film-forming ability. The incorporation of bioactive compounds such as essential oils, plant extracts, and phenolic compounds was proven to enhance antifungal and antioxidant activities. In addition, nanotechnology-based systems demonstrated better preservation performance compared to conventional systems. However, methodological standardization and industrial-scale validation are still required to support commercial implementation.