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The application of Large Language Models (LLM) in public services encourages government agencies to adopt Retrieval Augmented Generation (RAG)-based chatbots as interfaces for regulatory knowledge and official documents. Although RAG is designed to increase the supportability of answers to authoritative sources, various studies show that this system is still vulnerable to hallucinations, which have the potential to reduce public trust and pose legal risks. This article presents a Systematic Literature Review (SLR) on the use of RAG in government chatbots with a focus on the definition, mitigation strategies, and evaluation of groundedness. The literature search was conducted in the period 2021–2025 through the SpringerLink, Scopus, and Taylor & Francis databases, resulting in 7,947 articles filtered using the PRISMA framework to obtain 100 articles Q1–Q2. Based on eight research questions, this study maps publication trends, document domains, RAG architecture, retrieval strategies, definitions of groundedness, and evaluation metrics used. The SLR results indicate conceptual fragmentation in the definition and measurement of groundedness, with the dominance of text-similarity-based metrics that are inadequate for regulatory contexts. As a conceptual contribution, this article formulates the Semantic Alignment Score (SAS) as a groundedness metric based on semantic alignment, evidence coverage, and entailment relationships, positioned to support the evaluation and auditing of government document chatbots.

This research investigates the integration of Smart Production Systems (SPS) within the framework of Industry 5.0, emphasizing how such integration redefines operational efficiency and human–machine collaboration. The study aims to identify the contributions of smart technologies to productivity, sustainability, and human value in modern production systems. A Systematic Literature Review (SLR) was conducted following PRISMA guidelines, drawing from international databases including Elsevier, Springer, IEEE Xplore, Wiley, Taylor & Francis, ACM, and SAGE, as well as national sources. Publications from 2023–2025 were screened using keywords such as “Industry 5.0,” “Smart Production Systems,” “Human–Machine Collaboration,” and “Operational Efficiency.” Thematic analysis categorized findings into four dimensions: operational efficiency, human–machine collaboration, industrial sustainability, and socio-ethical aspects. Results indicate that SPS integration significantly enhances operational efficiency while fostering adaptive and creative collaboration between humans and machines. The combination of Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and human creativity establishes a resilient, sustainable, and innovative production paradigm. Successful implementation of Industry 5.0 requires harmonizing technological advancement, human skills, and ethical principles. Practically, the study offers insights for industry stakeholders and policymakers in designing human-centered digital transformation strategies, strengthening supply chain resilience, workplace safety, and innovation. This research contributes conceptually by highlighting ethical and sustainable human–machine interactions in future production systems.

This research aims to analyze the role of knowledge management in improving organizational performance. This research uses a qualitative method with a literature review approach, examining various national and international scientific journals published between 2019 and 2025. Data was obtained thru documentation techniques from secondary sources such as Google Scholar, ResearchGate, ScienceDirect, and SpringerLink. Analysis was conducted using content analysis and thematic synthesis methods to identify patterns of relationships between knowledge management dimensions and organizational performance. The research results indicate that effective knowledge management implementation has a positive impact on improving organizational performance, both in terms of operational efficiency, innovation, and competitive advantage. The four main dimensions of knowledge management that play the most significant role are knowledge creation, knowledge storage, knowledge sharing, and knowledge application. Additionally, organizational culture, transformational leadership, and employe commitment are key supporting factors for the successful implementation of knowledge management. Thus, it can be concluded that the systematic and integrated management of knowledge is an important foundation for organizations to achieve superior and sustainable performance in the digital age.

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.

Purpose –The objective of this research is to analyze the role of advanced materials as a foundation for technological innovation and as a strategic element in strengthening the national defense system. The study focuses on the interrelationships between policy aspects, industry dynamics, and theoretical frameworks to explain the urgency of adopting advanced materials in Indonesia. Design/methodology/approach –This study uses a conceptual approach based on a systematic literature review (SLR) by examining reputable international publications published by Elsevier, Springer, Wiley, Taylor & Francis, IEEE, ACM, ScienceDirect, SAGE, JSTOR and DOAJ as well as national literature indexed by SINTA. The analysis was conducted using a thematic synthesis method that combines regulatory and policy dimensions, empirical data related to budget trends and industrial implementation, and theoretical models including diffusion of innovation, technology acceptance models, and behavioral reasoning theory. Findings –Studies have shown that advanced materials such as lightweight composites, high-entropy materials, smart materials, and functional coatings have a significant role in strengthening military resilience, reducing dependence on imports, and improving the efficiency of defense logistics. However, the adoption of these materials still faces obstacles such as high production costs, limited human resources, and the vulnerability of critical mineral supply chains, which are heavily influenced by global geopolitical dynamics. Practical implications –This study emphasizes the importance of strengthening national research, integrating the defense industry into the DEFEND ID ecosystem, and international collaboration to accelerate technology transfer. Mapping the critical mineral supply chain also needs to be a strategic priority to ensure the sustainability of defense materials development. Originality/value –This article offers a novel contribution through the simultaneous integration of policy perspectives, empirical data, and theoretical frameworks in the context of advanced materials development in Indonesia, an aspect that has rarely been comprehensively explored in previous studies.

Purpose – Purpose This is for explore interconnection strategic between system energy and defense in support resilience national with propose draft paradigm energy dual role paradigm This positioning energy No only as protected objects​ from threat external, but also as subject strategic support​ operation military through energy renewable, implementation network smart, and technology storage battery. Design/ methodology / approach – Research This use approach review library systematic (SLR) for synthesize findings academic and reports policy from three year lastly, which involves source journal national (SINTA indexed) and international (Elsevier, Springer, IEEE, etc.), with focus on intersection between resilience energy and defense strategy national. Findings – Review This disclose that infrastructure resilient energy​ increase capability defense, while system formidable defense​ ensure continuity supply energy national research​ This propose an integrative model consisting of from three layer strategic: integration policy national (between RUEN and RENSTRAHAN), development infrastructure green and digital, and development capacity source Power man together. Framework Work integrative This strengthen reciprocal resilience​ between sector energy and defense. Implications practical – The makers policies, institutions military, and stakeholders interest energy pushed for together implementing synchronized strategies, integration curriculum and investment in infrastructure digital energy use reach resilience national term long in face uncertainty geopolitics and environment. Originality / Value – Study This introduce framework Work new paradigm energy role double in defense national, which provides runway theoretical and practical for integrate transition energy sustainable with planning defense strategic. Study This contribute in a way conceptual for bridge gap between policy energy and defense strategy, especially in context threat hybrids and vulnerabilities system cyber-physical.

Purpose –This article aims to integrate three strategic pillars in strengthening Indonesia's defense human resources (HR), namely Crew Resource Management (CRM) in military medicine, national biological defense, and STEM-based education. Design/methodology/approach –The research used a systematic literature review approach by examining literature from international databases (Elsevier, Springer, Wiley, Taylor & Francis, ACM, IEEE, ScienceDirect, SAGE, DOAJ, JSTOR) and reputable national journals (SINTA, GARUDA, BRIN). The analysis was conducted thematically with normative, empirical, and conceptual approaches. Findings –The study results show that: (1) CRM effectively improves communication, coordination, and decision-making of military medical teams in crisis situations; (2) the establishment of a Biological Defense Agency is urgently needed to address the threat of pandemics, bioterrorism, and transnational biosecurity; and (3) STEM education has been proven to strengthen innovation, adaptability, and the competence of the younger generation of defense personnel. The integration of these three aspects results in the CRM–Bio-Defense–STEM Nexus conceptual framework as the foundation for developing Indonesian defense human resources towards the 2045 vision. Practical implications –This study recommends strengthening national policies through: (1) a STEM-based defense curriculum, (2) CRM training in military medical education and operations, and (3) the establishment of a special biological defense institution as the front line in facing biological threats.Originality/value –This article provides a new contribution in the form of an integrative conceptual model of CRM–Bio-Defense–STEM that has never been studied holistically in the context of Indonesian defense, while also offering a strategic framework for the development of adaptive, innovative, and resilient national defense human resources.

This study aims to systematically examine the influence of digital literacy on the learning outcomes and 21st-century skills of high school students. The method used is a Systematic Literature Review (SLR) following the PRISMA guidelines. Data sources were obtained from various academic databases, including Google Scholar, ERIC, ScienceDirect, and SpringerLink, with publications ranging from 2019 to 2025. A total of 30 articles were selected based on predetermined inclusion and exclusion criteria. The analysis was conducted using a thematic approach to identify patterns, relationships, and the contribution of digital literacy to learning outcomes and the development of 21st-century skills, such as critical thinking, collaboration, communication, and creativity. The synthesis results show that digital literacy has a significant influence on improving learning outcomes and strengthening 21st-century competencies. This study emphasizes the importance of integrating digital literacy into secondary school curricula and teacher training to support effective 21st-century learning.

This study aims to analyze the effect of the combination of oil viscosity and shock load on the compression characteristics of telescopic shock absorbers on motorcycles, which include depth, time, and compression speed parameters. The experiment was carried out using two levels of oil viscosity, namely 10 cSt and 15 cSt (equivalent to SAE 10W and SAE 15W), as well as two shock load variations, namely 40 kg and 50 kg, which were dropped vertically from a height of 30 cm. Compression depth measurements were carried out using a slow-motion camera at a speed of 240 fps and the results were validated using Kinovea software. Meanwhile, the compression time measurement is carried out with a stopwatch, and the compression speed is calculated from the results of the comparison between the compression depth and the compression time. The experimental data were analyzed using Minitab software with the Two-Way ANOVA method to determine the influence of each variable on response. The results of the analysis showed that oil viscosity and shock load had a significant influence on the compression depth, while the viscosity of the oil also significantly affected the compression speed. However, neither the viscosity of the oil nor the shock load exerted a significant influence on the compression time. To support the results of the experiment, a mass-spring-damper system theory model approach was used, which represents the dynamic behavior of shock absorbers. This model helps to explain the compression response to changes in fluid and load parameters theoretically. Based on the analysis of experimental results and model simulations, the optimal combination that provides the best performance is found in the use of oil viscosity of 10 cSt (SAE 10W) with a shock load of 50 kg.

This study aims to analyze the effect of variations in CVT spring constants (4.94 N/mm, 6.09 N/mm, and 7.38 N/mm) and roller masses (10 g, 13 g, and 15 g) on torque, power, and specific fuel consumption (SFC) of a 110 cc matic motorcycle. Testing was conducted using a dynotest to measure torque and power, and a measuring glass for fuel consumption at engine speeds of 5000–9000 RPM. Results showed a maximum power of 7.93 HP at 7000 RPM with a 10 g roller and 4.94 N/mm spring, the highest torque of 8.56 Nm at 6000 RPM with a 13 g roller and 4.94 N/mm spring, and the lowest SFC of 0.0689 kg/kWh at 9000 RPM with a 10 g roller and 6.09 N/mm spring. Two-Way ANOVA analysis indicated that all factors and their interactions significantly influenced engine performance (p-value < 0.05), with the statistical model showing an R-squared above 97%. The combination of a light roller and medium spring provided the best fuel efficiency, while heavier rollers were more optimal for torque at mid-range RPMs.

This research is a Systematic Literature Review (SLR) aimed at analyzing the application of Artificial Intelligence (AI) technology in the management of information technology (IT) projects. This study focuses on identifying the AI technologies employed, the benefits gained, and the challenges faced in implementing these technologies. The study gathers and analyzes literature from various leading databases, including Scopus, IEEE Xplore, and SpringerLink, within the timeframe of 2015–2025. The findings reveal that AI technologies such as machine learning, predictive analytics, and natural language processing play a significant role in improving efficiency, reducing risks, and supporting decision-making in IT project management. However, challenges such as data quality, organizational resistance, and implementation costs remain major obstacles in adopting this technology. This review provides comprehensive insights into trends, benefits, and barriers associated with AI utilization, along with recommendations for more effective implementation in the future.

Data mining is a technique for extracting new information from data warehouses, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as is the case with the Dimsum business at Dimsum Madani.toko. This is located on Jalan Lampu gg. Pelita 4, Brayan Bengkel, East Medan, the location is close to many Brayan Resident's Houses. This of course affects sales levels. Increasing daily sales activity results in an accumulation of sales transaction data that continues to increase, thereby burdening data storage. Unfortunately, this data is only stored without further processing. In fact, this data collection holds valuable information.This research uses Market Basket Analysis with the Apriori Algorithm to find association patterns based on consumer shopping behavior. The goal is to identify items that are often purchased together. The research results showed that the combination of Seaweed Dimsum with Tofu Skin Spring Rolls had the highest support value (50%) and the highest confidence (75%).

This research analyzes the management strategy for hot springs in Sipoholon sub-district with the aim of increasing tourist visits.  Sipoholon sub-district has extraordinary natural potential, with stunning views and natural hot springs as the main attraction.  This research uses qualitative research methods, namely direct field research and conducting observations and interviews. The hot springs located in Situmeang Habinsaran, Sipoholon District, North Tapanuli have become an inspiration for hot spring owners to open hot spring tourism, hot water flows with  temperatures of 40 to 70 degrees Celsius make this place feel like another paradise on Indonesian soil. The results of this research are to find out the profile of the owner of the hot spring tourism object and how the management is carried out by the owner of the hot spring tourist attraction in Situmeang Habinsaran Village.  The bath owner always prioritizes maintaining the cleanliness and comfort of the hot spring location. This hot spring is still natural from nature, the hot spring owner only needs to maintain beauty and cleanliness so that visitors feel comfortable while at the tourist location.  Keywords: Aek Rangkat, Hot Springs, Tourism

The purpose of this study is to determine the financial condition of PT. Hero Supermarket Tbk using the Altman Z-Score, Springate, Zmijewski, and Grover methods for the 2019-2022 period. This type of research is quantitative descriptive research. The sample used in this study was PT. Hero Supermarket Tbk with simple random sampling as its sampling technique. The data used in this study is secondary data, namely financial statements obtained from the Indonesia Stock Exchange. The results of this study show that PT Hero Supermarket Tbk's Altman Z-Score, Springate, and Grover methods for four years on average have the same results, namely in 2019 the company was in good health. Meanwhile, in 2020-2022, PT Hero Supermarket Tbk went bankrupt. Unlike the three methods above, Zmijewski's method in 2019 and 2020 the company was in bankruptcy. But in 2021 and 2022 the company was in good health    

PT. Semen Indonesia (Persero) Tbk is a company that produces cement and runs the production process 24 hours a day. The company uses Roto Packer in its packaging process. In carrying out machine maintenance efforts, the company has implemented a maintenance system, namely preventive maintenance. However, even though preventive maintenance has been carried out, the company still experiences downtime on the spring load cell components. Therefore, it is necessary to carry out an analysis in order to determine the time between breakdowns, breakdown times, and arrange optimal maintenance schedules for spring load cell components. This study uses the Reliability Centered Maintenance (RCM) method with the Kolmogorov-Smirnov test to develop preventive maintenance activities that have been scheduled by the company. The results obtained, for the spring load cell component, component replacement must be carried out every 4 days with a replacement time of 49 minutes and a reliability of 39.87%.

Rivers are places, containers, and networks of water irrigation from springs to estuaries. The existence of rivers with their nature that flows from upstream to downstream has the potential for opportunity value and externality effects between upstream and downstream or along river flows (Pangesti, 2000). Eco-Tech-Edu Tourism Combination and integration of learning across applicable programs, the flow of the Babarsari river looks clear and flows well, so this is used in the construction of living labs and industrial parks. In its use as ecotourism, it is necessary to analyze the burden of pollutants. In determining the burden of pollutants, it is necessary to carry out water analysis and water status analysis based on the Decree of the Minister of Environment no. 115 of 2003 concerning guidelines for water quality status.