Abstract:Women engaged in marine product processing play a crucial role in the national fisheries value chain, yet this strategic contribution has not been matched with formal recognition, access to resources, or decent welfare levels.…
evels. This study aims to analyze the influence of religiosity and social factors on the empowerment and welfare of marine product processing women at the National Fisheries Port (PPN) Karangantu, Serang City, Banten, as well as to formulate a development strategy based on the synergy of these two factors. This research employs a mixed-methods approach with a sequential explanatory design, combining quantitative methods through PLS-SEM analysis on 235 respondents, and qualitative methods through in-depth interviews and Focus Group Discussions (FGD). The results show that religiosity and social factors have a positive and significant effect on women’s empowerment, which in turn impacts welfare improvement across economic, social, and psychological dimensions. Findings also reveal that religious values which currently focus mainly on ritual aspects, alongside patriarchal social norms, serve as key barriers; meanwhile, community support and the integration of religious values into economic activities act as major reinforcing factors. Based on SWOT analysis, this study proposes strategies for strengthening local value-based institutions, integrating empowerment programs with religious activities, and advocating for policies that support coastal women. This research contributes new insights by presenting an integrated model of religiosity and social dimensions in the empowerment of women in the fisheries sector, an area that has not been widely explored in previous studies.
Abstract:Penyakit kulit merupakan masalah kesehatan yang umum terjadi dan dapat dipicu oleh berbagai faktor, seperti infeksi, reaksi alergi, maupun pengaruh lingkungan. Terbatasnya akses terhadap tenaga kesehatan serta rendahnya…
pemahaman masyarakat mengenai gejala penyakit kulit sering menyebabkan keterlambatan dalam memperoleh penanganan yang tepat. Penelitian ini bertujuan menerapkan metode Forward Chaining pada sistem pakar untuk membantu proses diagnosis awal berdasarkan gejala yang dipilih pengguna. Metode ini bekerja menggunakan penalaran berbasis aturan dengan mencocokkan gejala yang dimasukkan pengguna terhadap basis pengetahuan yang disusun dari konsultasi dengan pakar dan referensi medis. Sistem dikembangkan melalui tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa sistem mampu mengidentifikasi jenis penyakit kulit sesuai aturan yang telah ditetapkan serta memberikan hasil diagnosis beserta rekomendasi penanganan awal. Pengujian membuktikan seluruh fungsi sistem berjalan dengan baik, sementara metode Forward Chaining memberikan hasil diagnosis yang efektif sehingga sistem dapat dimanfaatkan sebagai sarana konsultasi awal yang cepat, mudah, dan efisien sebelum pemeriksaan lebih lanjut oleh tenaga medis
Abstract:Food security in the low-carbon transition is increasingly shaped by industrial decarbonization, environmental restoration, and circular supply-chain coordination, yet these domains are often modeled as separate sustainability…
bility agendas. This study addresses the gap by developing a governance-centered structural equation model that links sustainable industrialization, sustainable remediation, circular supply chain governance, and food-security outcomes. Using the available 455-response dataset, the empirical test operationalizes industrialization intensity (IND) as a proxy for sustainable industrialization, digital-institutional capability (DIC) as a proxy for circular governance capability, and social-economic resilience (SER) as a proxy for food-system security. Confirmatory factor analysis supports the measurement model: standardized loadings range from .778 to .849 for IND, .804 to .835 for DIC, and .800 to .843 for SER; CR values range from .901 to .914; AVE ranges from .646 to .681; and model fit is acceptable (chi-square/df = 2.108, CFI = .961, TLI = .951, RMSEA = .049, SRMR = .038). The SEM results show that IND significantly predicts DIC (beta = .537, p < .001), DIC predicts SER (beta = .424, p < .001), and IND retains a direct effect on SER (beta = .337, p < .001). The indirect effect is significant (beta = .228, 95% CI [.178, .282]). The article contributes a cautious, data-grounded framework for analyzing food security as a governance-mediated outcome of low-carbon industrial transition.
Abstract:Clean water services are a basic need for the community, so optimizing the performance of regional drinking water companies (PDAM) is crucial to improve customer satisfaction. However, the main challenge faced by PDAM Balikpapan…
likpapan City is low customer satisfaction due to suboptimal service quality, which is largely influenced by employee performance. This study aims to analyze the effect of internal service quality on employee job satisfaction and customer-oriented performance, and to examine the mediating role of job satisfaction at PDAM Perumda Tirta Manuntung in Balikpapan City. This study is motivated by the importance of improving the quality of public services in the clean water utility sector, which requires organizations to be able to create an effective internal service system to support the quality of services provided to the community. This study uses an explanatory approach. Quantitative data were collected through questionnaires distributed to 196 employees, selected using the Slovin formula, while qualitative data were obtained through in-depth interviews and field observations. Data analysis used Structural Equation Modeling–Partial Least Squares (SEM-PLS) to examine the relationship between variables. The results show that internal service quality has a positive and significant influence on employee job satisfaction and customer-oriented performance. Job satisfaction was also found to have a positive and significant influence on customer-oriented employee performance. Furthermore, job satisfaction mediated the relationship between internal service quality and customer-oriented employee performance. These findings strengthen the relevance of the Service-Profit Chain Model in the context of public service organizations, particularly regional water utilities. This study provides theoretical contributions through the development of the Service-Profit Chain Model in the public utility sector, as well as practical contributions for PDAM management in formulating strategies to continuously improve internal service quality, job satisfaction, and customer service quality.
Abstract:The healthcare industry has historically been viewed as a non-cyclical, defensive, safe haven for investors. However, the post-pandemic period has revealed the industry's susceptibility to disruptions in global supply chains…
ains and geopolitical tensions. The present research examines the effects of Geopolitical risk (GPR) on the stock performance of 76 publicly listed healthcare companies in Southeast Asia (Indonesia, Malaysia, the Philippines, Thailand, Vietnam, and Singapore) during 2015-2024. According to the Caldara and Iacoviello GPR Index, this study utilizes Panel Autoregressive Distributed Lag (ARDL) the results show that though general Geopolitical Risk and Inflation are strongly negatively impacting the stock performance, specific Geopolitical Acts (GPRA) and Threats (GPRT) are having a positive response indicating a necessity premium in which investors expect a boom in demand of medical supplies once a conflict is realized. It concludes that the healthcare industry is not a safe haven but a highly fragmented environment in which inflation poses a greater threat to companies than political instability. The study advises that investors should consider a bottom-up approach, specifically micro-resilience screening, and that corporate managers should focus on supply chain decoupling and inflation hedging to address the Resilience Gap identified in the region.
Abstract:Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination…
examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:This study aims to analyze trends, developments, and directions of scientific research related to decentralization and performance evaluation between 2015 and 2025. Using a bibliometric approach and data from the Scopus…
database, this study evaluates scientific publications based on the number of documents, country contributions, institutional affiliations, keywords, and collaborative networks between authors. The analysis shows that the number of publications fluctuates, with a significant spike in 2024. China is the country with the highest contribution to publications, while contributions from Indonesia remain very minimal. In terms of affiliations, Chinese universities dominate scientific production in this field. Network visualization shows that collaboration between researchers remains low and fragmented. The most dominant keywords are decentralization, blockchain, and performance evaluation, which form several research clusters that show links to financial management and public policy topics. These findings indicate the need to increase the involvement of Indonesian researchers and strengthen global collaborative networks on the topic of decentralization and performance evaluation.
Abstract:This study aims to formulate the right business strategy for CV XYZ, an MSME in the frozen food industry, in facing operational challenges such as high employee turnover, dependence on out-of-town suppliers, and logistics…
s inefficiencies due to limited cold chain technology. This study uses a qualitative method with a case study approach. Data were collected through semi-structured interviews, internal company reports, literature reviews, and industry publications. The analysis was conducted through an external approach using PESTEL and Porter's Five Forces, as well as internal analysis through VRIO and Value Chain Analysis. The results of the analysis are summarized in a SWOT Analysis and continued with the formulation of a business strategy using Porter's Generic Strategies and TOWS Matrix. The proposed strategy is Cost Leadership with a focus on operational efficiency, investment in cold chain technology, and employee training to increase productivity. This strategy is expected to help CV XYZ increase competitiveness, expand the market, and support sustainable business growth in the frozen food industry.
Abstract:The study aims to explore the logistics distribution perspective in the fisheries sector of West Sulawesi. It focuses on supporting the region's readiness as a supporting area for the new National Capital (IKN) by examining…
ing government policies, infrastructure readiness, and supply chain management in the fisheries sector. The research employs a qualitative approach using a literature review combined with observation and interviews with key stakeholders in the fisheries sector. The study includes a feasibility analysis and utilizes a SOAR (Strengths, Opportunities, Aspirations, Results) analysis to develop strategic recommendations for logistics and infrastructure improvements. The findings reveal that West Sulawesi has significant potential to support IKN through its fisheries sector, given its strategic location and existing infrastructure. However, challenges such as limited cold storage facilities, infrastructure readiness, and supply chain coordination need addressing. The government’s draft Presidential Regulation (RPerpres) outlines a plan for port development and cold storage expansion to improve logistics. The study also suggests that collaboration with the private sector and technological adoption could enhance distribution efficiency and product quality. The research contributes to logistics and supply chain literature by addressing the specific challenges and opportunities in the fisheries sector of a developing region like West Sulawesi. It provides an original perspective on how regional policies and infrastructure development can support national capital projects and meet food supply demands while promoting sustainable practices in the fisheries industry