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Antimicrobial resistance is a persistent threat to hospital care, particularly when empirical therapy relies on broad-spectrum antibiotics without continuous evaluation of local use and susceptibility patterns. This literature review aimed to synthesize evidence from four Indonesian hospital-based studies regarding antibiotic utilization, rationality assessment, and bacterial resistance profiles. A structured narrative review was conducted using four selected articles provided by the author. Data were extracted for study design, setting, population, antibiotic evaluation method, dominant antibiotic classes, rationality indicators, resistance profile, and stewardship implications. The four studies were descriptive and hospital-based, using retrospective records, concurrent observation, ATC/DDD with DU 90%, qualitative rationality criteria, and antibiogram data. The synthesis showed a consistent concentration of antibiotic use in broad-spectrum groups, especially third-generation cephalosporins, penicillins, quinolones, and macrolides. In a Bandung public hospital, total antibiotic consumption reached 95,719.01 DDD, with penicillins, cephalosporins, quinolones, macrolides, and sulfonamides included in the DU 90% segment. In intensive care, ceftriaxone was the most frequently used antibiotic and most rationality indicators were appropriate, although clinically significant drug interactions were still identified. In pediatric acute respiratory infection inpatients, cefotaxime and ceftriaxone dominated empirical therapy. Resistance mapping in Denpasar highlighted relevant Gram-positive and Gram-negative pathogens and recommended antibiotics according to susceptibility levels. Overall, the reviewed evidence supports an integrated antimicrobial stewardship model combining ATC/DDD-DU 90% surveillance, qualitative rationality evaluation, antibiogram-based empirical guidance, and periodic feedback to prescribers.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

Indonesia's maritime security faces increasingly complex challenges due to the rise of hybrid threats that combine traditional and non-traditional elements. One of the main threats is the shadow fleet, operating covertly with unregistered ships, evading detection, and exploiting weaknesses in maritime surveillance to engage in illegal activities such as smuggling, illegal transshipment, and unlawful exploitation of natural resources. This phenomenon exacerbates Indonesia's maritime security situation, particularly in strategic areas like the Natuna Sea and the Sunda Strait, which are vulnerable to geopolitical conflicts and overlapping territorial claims. Additionally, transnational crimes such as piracy, drug trafficking, and human trafficking further undermine security in Indonesian waters. To address these threats, Indonesia needs to strengthen its maritime surveillance capacity by adopting advanced technologies such as early detection sistems and the Automatic Identification Sistem (AIS), as well as enhancing coordination between maritime agencies like Bakamla and the Indonesian Navy (TNI AL) to improve responses to harder-to-detect threats. Moreover, international cooperation with neighboring countries and regional maritime organizations like ASEAN must be bolstered to tackle cross-border threats. Strengthening surveillance, modernizing technology, and fostering more integrative maritime diplomacy will be crucial in safeguarding Indonesia's maritime sovereignty and ensuring the stability of this increasingly strategic maritime region.

This stuidy analyzeis thei influieincei of Suistainability Reiport Disclosuirei (SRD), Good Corporatei Goveirnancei (GCG), and company sizei on firm valuiei, with profitability as a meidiating variablei, in food and beiveiragei suibseictor companieis listeid on thei Indoneisia Stock Eixchangei (IDX) duiring thei 2022–2024 peiriod. Data proceissing was peirformeid uising thei SEiM-PLS meithod with thei assistancei of SmartPLS 4.0 softwarei. Thei reiseiarch findings indicatei that SRD doeis not havei a significant impact on profitability, buit contribuiteis significantly positiveily to firm valuiei. Meianwhilei, GCG has a significant neigativei eiffeict on profitability and has no direict eiffeict on firm valuiei. Firm sizei also doeis not affeict profitability, buit has a significant neigativei eiffeict on firm valuiei. Fuirtheirmorei, profitability is provein to havei a positivei and significant eiffeict on firm valuiei and fuinctions as a meidiator in thei reilationship beitweiein GCG and firm valuiei. Howeiveir, profitability doeis not meidiatei thei reilationship beitweiein SRD and firm sizei on firm valuiei. Oveirall, thei reiseiarch reisuilts eimphasizei that profitability is thei main deiteirminant of firm valuiei, whilei SRD has a strongeir impact throuigh reipuitational aspeicts than throuigh improving financial peirformancei.

Anemia in adolescents is a serious health issue that impacts students' concentration and productivity. This community service activity aims to conduct early detection of anemia through a comprehensive manual screening method at three high schools: SMA Sains Alumnika Palembang, SMA Candradimuka, and SMA Mandiri. The implementation method involved three main stages: identification of clinical signs and symptoms (5L), visual observation of the palpebral conjunctiva, and hemoglobin (Hb) level measurement using Point of Care Testing (POCT) devices. Held from April 1st to 8th, 2026, the activity involved the active participation of students and school authorities as an effort toward independent nutritional surveillance. The screening results showed a correlation between subjective symptoms, pale conjunctiva conditions, and Hb measurement results in the field. Changes in students' behavior regarding nutritional intake and the emergence of new awareness among school authorities about the importance of routine check-ups served as indicators of successful social transformation. In conclusion, integrated manual screening is highly effective as a preventive health measure for adolescents within educational environments.

This study aims to analyzei thei peirformancei and contributing factors to thei failurei of thei digital-baseid Civil Seirvant Manageimeint Information Sisteim (SIKILAT) adoption at thei Jambi Provincei Human Reisourceis Deiveilopmeimnt Ageincy (BPSDM) using a Teichnology, Organization, and EInvironmeint (TOEI) peirspeictivei. Thei study eimployeid a qualitativei, deiscriptivei approach. Thei reisults indicatei that SIKILAT impleimeintation is suboptimal and unsustainablei. From a teichnological peirspeictivei, obstacleis includei lack of minteinancei, limiteid systeim quality, and complicateid usability. From an organizational peirspeiktivei, thei lack of mandatory policieis and low useir compeiteincy and participation arei keiy obstacleis. Meianwhilei, from an einvironmeintal peirspeictivei thei lack of reigulations and eixteirnal preissureis havei leid to thei systeim’s deiclinei as a priority.

This study examines the implementation of Indonesia’s Visa on Arrival (VoA) policy in DKI Jakarta as both an instrument of tourism-driven economic recovery and a component of non-military national defense management under Law No. 23 of 2019 on the Management of National Resources for National Defense. While VoA has significantly contributed to the rebound of international tourist arrivals—surpassing 11 million visits nationally in 2023—it simultaneously generates governance challenges at strategic entry points such as Soekarno–Hatta International Airport, where facilitation of mobility intersects with risks including overstaying, transnational crime, human trafficking, and potential infiltration by non-state actors. Existing scholarship largely emphasizes economic impacts and regulatory frameworks, leaving limited analysis of VoA as part of an integrated civil defense infrastructure. Addressing this gap, the study aims to analyze how VoA implementation in DKI Jakarta is managed within a non-military defense perspective, particularly regarding institutional coordination, immigration intelligence, and risk mitigation mechanisms. Employing a qualitative case study approach, data were collected through in-depth interviews with immigration officials and security stakeholders, document analysis of relevant laws and ministerial regulations, and review of official immigration statistics, followed by thematic analysis. The findings indicate that although VoA effectively supports economic and diplomatic objectives, its function as a non-military defense instrument remains constrained by fragmented inter-agency coordination, uneven intelligence integration, and limited adaptive governance capacity at the local level. Strengthening collaborative surveillance systems, data-sharing mechanisms, and strategic policy alignment between immigration authorities and national defense institutions is therefore essential. The study concludes that reframing immigration governance as part of Indonesia’s broader non-military defense strategy is crucial to balancing openness with security in high-density international gateways.

The increasing demands of global trade, the risk of transboundary diseases, and the stringency of sanitary and phytosanitary (SPS) standards require a more integrated, transparent, and risk-based national quarantine system. The partial readiness of digital systems and traceability mechanisms has the potential to weaken Indonesia’s food security and export competitiveness toward the vision of Golden Indonesia 2045. This study aims to analyze the strategic role of the quarantine system in national development, identify institutional and technical root problems, and formulate the most concrete and feasible policy alternatives. The method used is policy analysis with a multi-criteria analysis (MCA) approach to compare several solution alternatives based on effectiveness, efficiency, technical aspects, and political feasibility. The results indicate that the digital transformation of the national quarantine system based on traceability and risk-based intelligence is the most superior policy option, as it can simultaneously address data fragmentation, improve service efficiency, and strengthen biosecurity surveillance. This study recommends the development of a Quarantine Super App, full implementation of e-certification, integration with the National Logistics Ecosystem and Customs, and the strengthening of an artificial intelligence-based risk profiling system. Gradual implementation accompanied by performance indicator-based evaluation is key to the success of the policy in enhancing national food security and export competitiveness.

Corporate involvement in environmental crimes has emerged as an increasingly complex legal challenge in Indonesia, given its profound consequences for ecological sustainability and public welfare. This study examines the normative construction of corporate criminal liability within Indonesia's positive legal framework and identifies juridical obstacles undermining enforcement effectiveness. A normative legal research method was employed, incorporating statute, conceptual, and comparative approaches. Although legal instruments such as Law No. 32 of 2009, Supreme Court Regulation No. 13 of 2016, and Law No. 1 of 2023 provide a formal basis for corporate criminal accountability, their implementation is hindered by normative inconsistencies. Key obstacles include difficulties in proving corporate mens rea, limited institutional capacity, regulatory ambiguity, and absence of Piercing the Corporate Veil integration. These conditions create normative gaps perpetuating weak corporate accountability recurring environmental violations. This study recommends regulatory reformulation, harmonization of legal instruments, strengthened institutional capacity toward effective and equitable environmental justice.

Background: Malaria transmission in Indonesia exhibits substantial spatial and temporal heterogeneity, particularly between stable endemic areas and remote outbreak-prone areas. Although routine surveillance is crucial for malaria control and elimination efforts, its limitations can obscure early warning signals, particularly in geographically isolated areas. Objective: This study aimed to analyze malaria epidemiology by integrating routine surveillance data from endemic primary health care settings with results from high-mortality outbreak investigations in remote highland districts in Indonesia, focusing on temporal trends, spatial clustering, Plasmodium species patterns, diagnostic gaps, and mortality. Methods: A mixed epidemiology approach was used. A retrospective longitudinal analysis of routine malaria surveillance data was conducted for the period 2023–2025 in endemic settings, while a cross-sectoral outbreak investigation was conducted in remote highland districts. Descriptive analyses were conducted to assess trends, demographic characteristics, species distribution, spatial heterogeneity, case detection methods, and outbreak-related mortality. Results: Routine surveillance data revealed fluctuations in malaria transmission, with a significant decline in cases in 2024 followed by a sharp increase in 2025. Conversely, outbreak investigations documented high case fatality rates, particularly affecting children and older adults, caused by delayed diagnosis, limited diagnostic capacity, and limited access to timely treatment. Conclusions: These results highlight the dynamic and context-dependent nature of malaria epidemiology in Indonesia. Integrating routine surveillance with outbreak investigations provides a comprehensive understanding of endemic trends and systemic vulnerabilities. Strengthening adaptive surveillance, improving diagnostic capacity, and implementing spatially targeted interventions are crucial for preventing outbreaks and reducing malaria-related mortality, particularly in remote and high-risk areas.

Malaria remains a significant public health problem in several endemic areas in Indonesia. Understanding temporal and epidemiological changes at the local level is crucial for effective malaria control and elimination. This study aims to analyze changes in malaria epidemiological patterns based on routine surveillance data at the Yaro Community Health Center, Indonesia, during the period 2023–2025. This is a retrospective, longitudinal descriptive study using routine malaria surveillance data. Variables analyzed include temporal trends, Plasmodium species distribution, demographic characteristics, spatial distribution, and case-finding strategies. Data were analyzed descriptively using frequencies and proportions. A total of 9,677 malaria examinations were recorded, with 546 confirmed cases. Malaria cases showed a significant increase in 2025. Plasmodium vivax was the most dominant species, with a steadily increasing proportion of mixed infections. Adults aged 15–64 years and men were the most affected groups. Spatial analysis showed regional heterogeneity with persistent hotspots at the village level. Passive case detection remains the primary method, while active surveillance is increasingly contributing to case identification. Malaria epidemiology in the Yaro region exhibits dynamic temporal, demographic, and spatial patterns. Strengthening integrated surveillance and targeted interventions is essential to address persistent transmission and support malaria elimination efforts.

Hydrometeorological disasters increase the risk of infectious diseases due to environmental changes, damaged sanitation systems, and limited access to health services. These conditions highlight the need to strengthen community-based early detection systems as part of an early warning strategy. This community service activity aims to enhance the capacity of community health volunteers in the early detection and reporting of infectious diseases through the digitalization of a simple surveillance system. The program was implemented in disaster-affected areas, involving community health volunteers as key partners. The methods included health education on post-disaster infectious diseases, technical training on the use of surveillance instruments, and assistance in implementing health surveillance forms in accordance with guidelines from the Ministry of Health of the Republic Indonesia. The results showed a significant improvement in the knowledge of participants, with ≥80% of volunteers passing the post-test evaluation. In addition, participants demonstrated improved skills in recording, identifying symptoms, and systematically reporting infectious disease cases. The digitalization of surveillance forms facilitated real-time data collection and reporting, enabling faster responses to potential outbreaks. This program contributes to strengthening community-based early warning systems and enhancing the role of community health volunteers as the frontline in post-disaster infectious disease control. The implementation of this initiative is expected to support rapid interventions by health service facilities, improve cross-sector coordination, and serve as a replicable model for strengthening community surveillance systems in other disaster-prone areas.

This research aims to evaluate the effectiveness of Online Travel Agent (OTA) distribution channels in influencing room sales volume and net profit for hotels in Java. Although OTAs have become a primary distribution choice that successfully boosts sales figures, there is still a lack of research highlighting the impact on net profitability due to high commission costs.Using a quantitative associative method through panel data regression analysis, this study examines the causal relationship between the proportion of sales made via OTAs and two performance indicators over a two-year period (2021–2023). The primary findings reveal a dual effect:OTA Distribution Channels have a positive and significant influence on Room Sales Volume (supporting Hypothesis H1).Conversely, OTAs have a significant negative impact on Hotel Profit Margins (supporting Hypothesis H2), indicating a substantial financial trade-off.The contribution of this research is to provide balanced empirical evidence regarding volume gains versus margin losses resulting from OTA usage. The managerial implications suggested by these findings are that hotels need to implement distribution strategies focused on Net Revenue Management and channel mix optimization to achieve a balance between volume requirements and profitability.

Malaria remains a major public health challenge in eastern Indonesia, particularly in the remote highland areas Papua, where access to health services is very limited. In early 2008, a suspected malaria outbreak with several deaths was reported in Agisiga District, a remote highland area in Papua. This study aimed to investigate the epidemiological characteristics, diagnostic results, and mortality patterns of the malaria outbreak as a basis for formulating future control strategies. The outbreak investigation was conducted using a cross-sectional design in Agisiga District from January to March 2008. Capillary blood samples were examined using Rapid Diagnostic Tests (RDTs) and thin blood smear microscopy. Malaria-related deaths were traced through verbal autopsy methods and interviews with families and community leaders. Descriptive analysis was performed to describe the demographic, clinical, and parasitological characteristics the cases. A total of 92 suspected malaria cases were identified, with the highest proportion coming from Tomosiga Village (52.2%), followed by Bigasiga Village (40.2%) and Agisiga Village (7.6%). Women accounted for 58.7% of all cases, and the most affected age group was 15–35 years (34.8%). Microscopic examination confirmed malaria infection in 55.0% of samples examined, with Plasmodium vivax predominating (45.0%), while the RDT positivity rate was much lower. The malaria outbreak in Agisiga District was characterized by high mortality, delayed diagnosis, and significant gaps in diagnostic capacity, particularly in remote villages. Strengthening the surveillance system, increasing diagnostic capacity, and improving access to timely treatment are crucial steps prevent similar outbreaks and reduce malaria mortality in the Papuan highlands.

Open-pit mining activities in Indonesia contribute significantly to the national economy but require stringent monitoring to mitigate environmental degradation. Conventional monitoring methods relying on terrestrial surveys are often constrained by vast coverage areas, high operational costs, and limited field accessibility. This study aims to develop an artificial intelligence model capable of automatically detecting and mapping mining areas to enhance surveillance efficiency. The applied method is Deep Semantic Segmentation utilizing the U-Net Convolutional Neural Network (CNN) architecture. The model was trained using Sentinel-2 satellite imagery, focusing exclusively on Red, Green, and Blue (RGB) spectral channels to replicate human visual perception. Experimental results demonstrate that the proposed model performs reliable segmentation of mining areas, achieving an Accuracy of 93.58% and a Global Intersection over Union (IoU) of 0.8067. These findings indicate that the U-Net architecture can effectively extract spatial features of mines even when utilizing standard visual data. This research contributes to the development of an efficient, cost-effective, and scalable digital monitoring prototype to support innovation in sustainable environmental governance.

Buillying is a form of violeincei that freiquieintly occuirs in school einvironmeints and can neigativeily affeict childrein’s psychological, social, and acadeimic deiveilopmeint. As suibjeicts of law, childrein havei thei right to reiceiivei proteiction from all forms of violeincei as reiguilateid by statuitory provisions. This Commuinity Seirvicei Program (Kuiliah Keirja Nyata/KKN) aims to increiasei stuideints’ awareineiss at SDN 2 Waydadi reigarding thei dangeirs of buillying and thei importancei of child leigal proteiction throuigh anti-buillying socialization activitieis. Thei meithod eimployeid was leigal couinseiling uising an eiduicational and participatory approach, incluiding mateirial preiseintations, inteiractivei discuissions, and thei provision of simplei casei eixampleis adapteid to thei agei leiveil of eileimeintary school stuideints. Thei reisuilts of thei activity indicatei an increiasei in stuideints’ uindeirstanding of thei deifinition and typeis of buillying, its impacts, preiveintion eifforts, and availablei forms of leigal proteiction as reiguilateid uindeir thei Child Proteiction Law, and  thei Indoneisian Criminal Codei. This activity is eixpeicteid to seirvei as a preiveintivei eiffort to reiduicei buillying and to suipport thei creiation of a safei and child-frieindly school einvironmeint.

Surveillance for diarrhea at the district level in Indonesia is still affected by the fragmented nature of the District Health Information System (DHIS) and Early Warning and Response System (EWARS), inconsistent reporting, patchy data interoperability, and the resulting public health delays. Although there are systems in place like the DHIS and EWARS, the persistent use of hybrid systems that combine manual and digital data entry, as well as the different skill levels of users, continues to produce issues of incompleteness, untimely reporting, and inaccurate data. The present study investigated the deficiencies in surveillance reporting of diarrhea cases, the surveillance data to determine the degree of integration and also investigated the health workers perceptions of the barriers to effective reporting. A mixed methods approach was adopted in this study where we investigated quantitatively the DHIS and routine diarrhea reports submitted for the entire year of 2023, and combined that with qualitative, in-depth interviews with the relevant surveillance officers, program managers, and district staff. The quantitative analysis indicated gaps in reporting about 55% in terms of completeness, and consistency of reporting and also significant differences were found between the manual register, DHIS, and EWARS whereby the integration of these systems was found to be low. The qualitative analysis pointed to the combination of disconnected workflows, limited cross-system interoperability, inadequate system training, excessive workloads, and weak organizational feedback, as the main barriers to effective reporting. The combination of these two datasets illustrates the fact that both system deficiencies and organizational factors are primary drivers of the reporting. Closing the gaps will require system level changes in the interoperability of reporting systems, simplified reporting workflows, training, reporting, and reporting feedback loops.

Indonesia, as a country with a high level of disaster vulnerability, faces an increased risk of communicable diseases during the emergency response phase due to disrupted sanitation, limited access to clean water, overcrowded evacuation shelters, and weakened health services. This study aims to analyze the strategic role of health workers in health education and the prevention of communicable diseases during disaster emergency response. The method used is a literature review of relevant national and international scientific articles. The findings indicate that health workers have a multidimensional role, not only as providers of curative services but also as educators, change agents, advocates, and collaborators in promotive and preventive efforts. Effective health education, participatory risk communication, strengthened epidemiological surveillance, and the implementation of Infection Prevention and Control (IPC) are key strategies to reduce the risk of communicable disease outbreaks. However, implementation in the field still faces challenges, including limited resources, cross-sectoral coordination constraints, heavy workloads, and suboptimal disaster-related policy systems and standard operating procedures (SOPs). Therefore, strengthening the capacity of health workers through training, policy support, and community-based approaches is necessary to enhance health system resilience in responding to disaster crises.

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization