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This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, feature extraction, and real time processing. The integration of CNNs with interactive visualization modules enables dynamic adjustments to video content based on user interactions, ensuring a seamless and engaging user experience. The system was benchmarked in terms of its processing speed, accuracy, and responsiveness, showing significant improvements over traditional approaches in real time video analysis. Moreover, the study demonstrates that combining deep learning with real time visualization enhances the efficiency of interactive multimedia applications, making it suitable for dynamic environments such as surveillance, security monitoring, and interactive media. Despite the system's strong performance, challenges such as computational demands in high-resolution video processing were identified, highlighting the need for further optimization. Future work will focus on optimizing the system for different hardware platforms, incorporating multimodal inputs, and refining deep learning models to address computational bottlenecks. This research contributes to advancing HCI by providing insights into the integration of deep learning for real time video content analysis, which is pivotal for enhancing the interactivity and adaptability of intelligent multimedia systems.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in endemic areas, including Olat Rarang Hamlet, Labuhan Sumbawa Village. Effective dengue prevention requires active community involvement supported by entomological surveillance data. This community service activity aimed to enhance community awareness and participation in dengue prevention through the implementation of the 3M Plus Movement integrated with an entomological surveillance approach using the House Index (HI), Container Index (CI), and Breteau Index (BI) indicators. The activity was conducted on December 6, 2025, involving local community members and public health students. The methods included health education, larval surveys in houses and water-holding containers, and community-based mosquito breeding site eradication. The results indicated that houses and containers positive for Aedes larvae were still present, reflecting a moderate risk of dengue transmission. However, the implementation of the 3M Plus Movement improved community knowledge, awareness, and participation in vector control. Integrating the 3M Plus Movement with entomological surveillance is an effective promotive and preventive strategy based on community empowerment for sustainable dengue prevention.

Tilapia Lake Virus (TiLV) is an RNA pathogen that causes high mortality rates in tilapia (Oreochromis niloticus), posing a major threat to global aquaculture. This study aimed to detect the presence of TiLV in tilapia populations in East Kalimantan Province, Indonesia, using the Polymerase Chain Reaction (PCR) method. A total of 60 tilapia samples were collected from three main aquaculture areas: Kutai Kartanegara, Samarinda, and Penajam Paser Utara. Molecular analysis revealed that one sample from Penajam Paser Utara was positive for TiLV, with an overall prevalence of 5%, while all samples from other sites tested negative. This finding indicates that TiLV has been molecularly detected in East Kalimantan, albeit at a low prevalence. The overall prevalence of TiLV infection in East Kalimantan was 1.67%. The results provide important baseline data for strengthening disease surveillance, biosecurity implementation, and the development of preventive strategies in tilapia aquaculture systems in Indonesia.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This study aimed to analyze the implementation of policies prohibiting illegal fishing practices involving the use of explosives, poisons, and electric shock devices in Sanga-Sanga District, Kutai Kartanegara Regency. Although regulations and extension activities related to the prohibition have been established, illegal fishing practices continue to occur as of 2025. The findings reveal that some fishermen still use poison and electric shock due to economic reasons and the perception that these methods yield greater catches. However, such actions cause losses to other fishermen by reducing the quality of the catch and damaging the aquatic ecosystem. The community is aware of these violations but is reluctant to report them due to fear of threats from the perpetrators. Efforts by fisheries extension officers to establish community-based surveillance groups (Pokmaswas) have not been optimal due to low public participation. Collaboration between provincial fisheries supervisors and the local marine police (Polairud) has resulted in joint patrols that successfully apprehended two perpetrators of illegal fishing, yet law enforcement has not produced a deterrent effect. Moreover, the program to replace destructive fishing gear with environmentally friendly alternatives for fishermen willing to transition has not been realized due to budget constraints. Based on these findings, it is necessary to strengthen integrated surveillance, provide legal protection for whistleblowers, accelerate the implementation of sustainable fishing gear programs, and enhance public awareness of legal and ecological issues.

This study aims to analyze the perceptions of students from various majors regarding the urgency of legal protection for the Napoleon wrasse (Cheilinus undulatus), a rare and endangered marine species that plays a crucial role in maintaining the balance of coral reef ecosystems. This fish faces serious pressure due to overexploitation and illegal trade, thus requiring special attention from a legal and conservation perspective. This study used a qualitative descriptive approach with purposive sampling technique, involving students from marine, fisheries, environmental, and legal departments. Primary data were collected through a questionnaire designed to elicit respondents' insights, level of understanding, and recommendations regarding the protection of this species. The data obtained were then analyzed using thematic analysis to identify patterns of perception and key ideas. The results showed that the majority of students considered legal protection for the Napoleon wrasse to be very urgent. They advocated for strengthening regulations, stricter law enforcement, increased surveillance in water areas, education for coastal communities, development of conservation and cultivation programs, and strengthening international cooperation. The implications of this study emphasize the importance of a comprehensive and collaborative protection strategy to support the sustainability of marine resources.

The aim of this research is to develop a new strategic model for Indonesian border defense by recalibrating the Lykke Framework. It assesses the relevance of the traditional ends–ways–means framework in addressing modern border threats and proposes adding a risk pillar to improve adaptability and multi-domain integration. Using a Systematic Literature Review (SLR), the study examines policy developments, defense doctrines, surveillance technologies, and geopolitical dynamics influencing Indonesian border security. Literature was sourced from international and national databases (ScienceDirect, SpringerLink, SINTA, BRIN, etc.) for publications between 2018–2025. The findings reveal that Indonesia's border regions face complex threats such as sovereignty violations, transnational crime, cyberattacks, and ideological penetration. These challenges highlight the inadequacy of the traditional ends–ways–means framework without incorporating a fourth risk pillar. The study introduces the New Lykke Model, which enhances the strategic framework for integrated military management, considering geopolitical, operational, socio-cultural, and environmental risks. This model offers practical guidance to stakeholders like the Indonesian National Armed Forces (TNI), Bakamla, and the National Police (Polri), aiming to improve border security operations and policy planning. The study is among the first to adapt the Lykke Model to Indonesian border defense, incorporating an integrated risk pillar for a more comprehensive security strategy.

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.

Nosocomial infections, such as Surgical Site Infections (SSI), phlebitis, and Urinary Tract Infections (UTI), continue to challenge hospital service quality, including at Dharmais Cancer Hospital. The performance of Infection Prevention and Control Link Nurses (IPCLNs), key in executing the Infection Prevention and Control (IPC) program, remains suboptimal, with delays in reporting, inaccurate surveillance documentation, and weak coordination with the IPCN team. This study aims to analyze the effect of training and work motivation on IPCLN performance, with supervision as a moderating variable that strengthens the relationship. Using a quantitative approach, the study employed multiple linear regression and moderated regression analysis (MRA) on data from 43 IPCLNs selected through total sampling. A structured, valid, and reliable questionnaire was used for data collection. The results showed that training, motivation, and supervision had a significant effect on IPCLN performance. Training and motivation had a positive impact, while supervision not only had a direct effect but also moderated the relationship between training, motivation, and performance. These findings emphasize the importance of structured training, motivation enhancement, and sustainable supervision to improve the IPC program's effectiveness. The practical implication is the need for integrated managerial strategies to strengthen the role of IPCLNs in reducing infection risks and improving hospital service quality.

Content commodification has become a dominant phenomenon within Indonesia’s digital ecosystem, where communication messages are no longer oriented toward use value such as education and enlightenment, but toward exchange value determined by algorithms, virality, and monetization potential. This transformation is evident in the behavior of content creators, online media, politicians, and government institutions that adjust their message formats to align with the logic of platforms such as TikTok, Instagram, and YouTube. Political content during the 2024 Election, clickbait practices in online journalism, and the aestheticization of public campaigns such as Bangga Buatan Indonesia(BBI) and Gerakan Kamis Pakai Lokal (GASPOL) demonstrate that content today is produced primarily to capture attention rather than to strengthen social literacy. Using a constructivist paradigm and a descriptive qualitative approach, this study analyzes how exchange value dominates meaning-making processes in digital spaces. Through the lenses of media political economy, cultural industries, and surveillance capitalism, the study shows that content commodification shifts the function of communication from a deliberative public sphere to a commercial arena governed by algorithms. These findings highlight the urgent need for digital literacy and communication ethics to safeguard the social role of media in Indonesia.

The purpose of this study is to investigate the strategic role of air transportation management in Military Operations Other Than War (MOOTW), particularly in archipelagic contexts such as Indonesia, where rapid humanitarian response, territorial surveillance, and civil–military cooperation are essential for resilience. By applying a Systematic Literature Review (SLR), this article synthesizes findings on humanitarian logistics, technological transformation, and policy frameworks for strengthening national defense readiness. Design/methodology/approach – This study employs a qualitative Systematic Literature Review (SLR) methodology guided by PRISMA principles, analyzing 30 scholarly contributions from 2009–2025, including international peer-reviewed journals, Routledge and Springer volumes, arXiv preprints, and Indonesian academic publications.Results highlight that strategic air  transportation is indispensable for disaster relief, medical evacuation, and supply delivery in archipelagic nations. The adoption of AI, machine learning, UAVs, and reinforcement learning has enhanced responsiveness and equity in humanitarian supply chains. However, persistent challenges include aging fleets, interoperability constraints, and fragmented civil–military coordination. The study underscores the need for modernization of air assets, institutionalized civil–military collaboration, and integration of AI-based routing and command systems. Strengthening these aspects can enhance Indonesia’s resilience and preparedness in MOOTW scenarios. This article uniquely bridges global research on data-driven air power with Indonesian defense perspectives, proposing a scalable strategic framework for air transportation management that advances archipelagic resilience.

Purpose –This article aims to examine Territorial Defense Management (TDM) as an adaptive defense strategy in the contemporary era, with a focus on the synergy of UAV–sensor fusion–C2 technologies, whole-of-defense cyber orchestration and strengthening community resilience in facing multidimensional threats. Design/methodology/approach –This study employed a Systematic Literature Review (SRB) approach, using scientific literature sources from 2021–2025 from Scopus, IEEE, Springer, ScienceDirect, Garuda, and ResearchGate. Thirty-one primary articles were selected through rigorous screening and then analyzed using thematic coding and data triangulation to ensure the validity of the findings. Findings –The study results show that: (1) UAVs with sensor fusion increase the effectiveness of regional surveillance, although they require a counter-UAV system and good spectrum governance; (2) whole-of-defense cyber is proven crucial with the support of threat intelligence, territorial cyber operations centers, and AI for anomaly detection and automated response; (3) community resilience strengthens defense through emergency communications, early warning systems, and community participation in joint training with authorities. Practical implications –The effectiveness of MPT can be enhanced through standardization of IoMT architecture across the military services, counter-UAV and cyber exercises at the regional level, and the development of quantitative metrics to measure community resilience linked to military-level readiness. Originality/value –This article contributes by integrating technology, cyber, and community perspectives into a single adaptive MPT framework, thereby strengthening deterrence, rapid response, and socio-technological resilience. This approach is relevant for strengthening Indonesia's modern defense doctrine.

Digital transformation in higher education demands the sustainable use of Learning Management Systems (LMS). However, most previous studies have predominantly focused on cognitive aspects such as perceived usefulness and user satisfaction, overlooking the motivational dimensions that drive long-term engagement. This study aims to explore how System-Provided Autonomy Support (S-PAS)—the degree of autonomy support embedded within the system—shapes users’ continuance intention to use LMS through psychological need satisfaction and autonomous motivation. Employing an exploratory qualitative approach, data were collected through in-depth interviews, focus group discussions (FGDs), task-based observations, and critical discourse analysis of institutional policies and system micro-copies across several universities under the coordination of LLDIKTI Region IX Sultanbatara. Thematic analysis revealed that users’ experiences with LMS are influenced by five key dimensions of S-PAS: meaningful choice, rationale provision, non-controlling language, emotional validation, and informational feedback. When the system and policies offer flexibility, empathetic communication, and clear rationales behind instructions, users exhibit higher levels of autonomous motivation and stronger commitment to LMS continuance. Conversely, administrative rigidity, technostress, and opaque surveillance practices undermine psychological need satisfaction and weaken users’ continuance intention. The study extends the application of Self-Determination Theory (SDT) to educational technology by introducing S-PAS as a conceptual framework that bridges system design and user motivation. Practically, the findings offer strategic guidance for policymakers and developers to design LMS environments that are more autonomy-supportive, human-centered, and sustainable. Future research is encouraged to quantitatively validate the S-PAS model across diverse institutional and cultural contexts to enhance the generalizability and theoretical robustness of these findings.

Febrile illnesses can be caused by a wide variety of viruses, bacteria, and other pathogenic microbes, and their production originates from outside the body. These substances, known as exogenous pyrogens, can enter the human system through contaminated water, food, or direct human-to-human transmission. Once inside the body, exogenous pyrogens stimulate the immune system by triggering the release of endogenous pyrogens such as cytokines, which in turn act on the hypothalamus to increase body temperature as a defense mechanism. This physiological response, while protective, can also indicate an underlying infection that may need prompt medical treatment. According to the World Health Organization (WHO) in 2020, the number of fever cases worldwide reached approximately 11–20 million people annually, with an estimated 128,000–161,000 deaths each year due to complications from febrile illnesses (Meirita et al., 2024). The global burden of fever varies by region; for example, in the United States, South America, and Western Europe, the incidence of fever is estimated to reach 4–5% of the population. In contrast, several Asian countries report higher prevalence rates, such as Japan with 6–9%, India with 5–10%, and Guam with 14% (Ulum et al., 2024). These statistics highlight the ongoing public health challenge posed by febrile illnesses, emphasizing the need for improved surveillance, prevention strategies, and treatment protocols worldwide.

The state has a mandate to guarantee citizens' freedom of expression by protecting symbolic representations in public spaces. However, legal construction in Indonesia tends to use the law as a tool to limit visual interpretation, including popular cultural symbols such as the One Piece flag. This study aims to explain two main aspects of the mechanism of symbol criminalization: the state's construction of symbols as threats without any basis in actual violations, and the political use of fear through the production of imaginary enemies. The research method employed a qualitative approach with a conceptual approach. The results show that the state's interpretation of visual symbols rests not on the legality of the action, but on controlling the potential meanings that develop outside the official narrative. Within this construction, the law operates as a filtering mechanism for forms of articulation deemed inconsistent with the state's ideological interests. This strategy shifts the focus from concrete violations to the surveillance of social imagination. Thus, the criminalization of symbols occurs not because of their factual content, but because they open up pathways of solidarity that cannot be institutionally controlled. A critical criminological approach demonstrates that the state uses the law to enforce symbolic domination through techniques of controlling meaning within a democratic regime that formally promises freedom of expression.

Shrimp is a food ingredient that has perishable characteristics, so it requires proper handling to maintain product quality and safety. This study aims to understand the application of the quality system in frozen shrimp processing based on the principle of Hazard Analysis Critical Control Point (HACCP) at PT Dachan Mustika Aurora Tarakan. The research was carried out during the period from July to December 2024 with a qualitative descriptive approach. The results of the study show that the frozen shrimp processing system has followed the principles and stages of HACCP in general, starting from the receipt of raw materials, temperature checks, organoleptic tests, laboratory tests, processing with temperature control, washing, sorting, packaging, to storage in cold storage. However, there are still critical points at the Metal Detector washing and inspection stages, with the potential for significant danger in the form of metal chip contamination. The quality control process is carried out in layers to ensure that the final product meets national and international standards. The implementation of HACCP has consistently proven to be effective in improving food safety, maintaining the quality of frozen shrimp, and strengthening the competitiveness of products in the export market. These findings provide recommendations for the seafood processing industry to strengthen surveillance systems at critical points and improve personnel training to minimize the risk of contamination and ensure the sustainability of product quality.

Reservoir heterogeneity has long been recognized as a critical factor influencing the efficiency of enhanced oil recovery (EOR) methods. Among the techniques applied, cyclic waterflooding is considered one of the promising approaches due to its relatively simple operational design and potential to improve sweep efficiency. This method involves alternating water injection in specific cycles to mobilize trapped oil and redistribute reservoir pressure. However, the variation in geological properties such as porosity, permeability, and fluid saturation creates challenges in achieving uniform displacement, especially in reservoirs with high heterogeneity. Understanding the role of heterogeneity is therefore crucial for optimizing cyclic waterflooding applications. This study applies a literature review approach by synthesizing findings from previous experimental and field studies that evaluated cyclic waterflooding under different reservoir conditions. The analysis compares the performance of cyclic water injection periods across reservoirs characterized by varying levels of heterogeneity. Parameters such as injection rate, water breakthrough time, and oil recovery factor were considered in evaluating the effectiveness of this method. The results highlight that reservoirs with high heterogeneity often experience uneven fluid distribution, leading to early water breakthrough and reduced oil recovery. In contrast, reservoirs with relatively low heterogeneity tend to respond better to cyclic waterflooding, resulting in improved sweep efficiency and higher incremental recovery. Moreover, the optimization of cycle timing and water injection intervals appears to significantly mitigate the negative effects of heterogeneity. In conclusion, the study emphasizes that reservoir heterogeneity plays a decisive role in determining the success of cyclic waterflooding. Tailoring injection strategies based on geological variability is essential to maximize recovery efficiency. Future research should focus on integrating advanced reservoir characterization techniques with adaptive cyclic flooding models to further enhance oil production outcomes.

Divine love is the ultimate goal of human life and occupies the highest maqam in the spiritual journey. This love begins from self-love that grows because it always remembers the Creator (Allah), then dissolves in dhikr and deep spiritual contemplation, until a person begins to let go of his attachment to the world and prefers closeness to Allah. Love for Allah is a deep mental condition, in which the beloved (human) is willing to open the veil of his ego in order to welcome the presence of the true Lover (Allah). In this context, Jalaluddin Rumi's thinking is particularly relevant, especially when viewed philosophically as to how Divine love becomes possible to grow in a person. It can also be seen as an answer to the disruptive attempts of Western thought that tend to separate spirituality and human existence. Morality is a principle that is closely related to good and bad in human behavior. Human actions are inseparable from moral judgment, whether they are right or wrong, good or bad. Humans as spiritual beings have an awareness of the meaning and purpose of life, different from other beings who, although intelligent, do not have an existential dimension and transcendent consciousness. This awareness is the basis for the emergence of moral responsibility and the search for the true meaning of life. 

The presumption of innocence is a fundamental principle in the criminal justice system that serves to protect the rights of the accused from the risk of unfair punishment. This principle states that a person is presumed innocent until proven legally and convincingly guilty of committing a crime before a court. This research uses an empirical juridical method, namely a legal approach that examines how positive law, especially unwritten law, is applied in society. In this context, the research highlights the implementation of the presumption of innocence in criminal justice practices in Indonesia. The application of the presumption of innocence is very important for the judicial process to run fairly, directed, and achieve the main objectives of criminal justice, namely upholding justice, legal certainty, and legal order. The relationship between this principle and human rights is very close, because with this principle, suspects and defendants are guaranteed to obtain legal protection during the legal process. Rights such as not being treated as guilty before a court decision, the right to defense, and the right to humane treatment are part of this principle. Enforcing the presumption of innocence is not only the responsibility of law enforcement officers such as the police, prosecutors, and judges, but also all elements of society. Therefore, it is crucial for every citizen to understand and respect this principle in their social lives, especially in responding to ongoing legal cases. As a concrete implementation, law enforcement must implement policies that protect the public and maintain a sense of security, for example by increasing surveillance in crime-prone areas. This way, the law can be enforced fairly, and public trust in the criminal justice system will increase. The presumption of innocence is a crucial foundation for the creation of humane and fair trials in Indonesia.

Drinking water is a basic human need that must meet health requirements to be suitable for direct consumption without causing health risks. Drinkable water must be free from various contaminants, both physical, chemical, and microbiological that can harm the human body. One of the sources of drinking water that is widely used by the community is refillable drinking water (DAMIU), which is now growing due to its affordable price and ease of access. However, the water quality from DAMIU is often a concern due to potential contamination due to sanitation that does not meet standards. This study aims to analyze the sanitary conditions of the refillable drinking water depot (DAMIU) and assess the quality of drinking water based on physical, chemical, and microbiological parameters in the working area of the Punti Kayu Health Center, Palembang. A total of 15 DAMIU are the object of research that are examined through laboratory tests and direct observation of the sanitary conditions and equipment of the depot. The results showed that all DAMIU (100%) had met the general sanitation requirements, such as room cleanliness, equipment, and workers. However, microbiological testing found that 33.4% of the water samples contained E. coli and Coliform bacteria, indicating the presence of contamination. In addition, all samples (100%) did not meet the ideal drinking water pH requirements, and as many as 40% of the samples had aluminum content that exceeded the threshold set by the Indonesian Minister of Health. From these findings, it can be concluded that although the sanitary conditions of DAMIU are relatively good, the quality of the drinking water produced still requires serious attention.