Publication Search

Drug stockouts in hospitals pose significant risks to service quality, patient safety, and operational efficiency. This study aimed to analyze how drug demand planning and procurement processes at Johar Baru Regional General Hospital contribute to stockout occurrences and to develop data-driven recommendations based on supply chain management principles. A qualitative descriptive design was employed using data triangulation. Data were collected through in-depth interviews with the Head of the Pharmacy Installation, procurement staff, and warehouse pharmacists, complemented by direct observation and analysis of 2024 planning and procurement documents. Thematic analysis was conducted with the support of NVivo software to identify patterns and relationships among key variables, including drug demand planning, procurement, and inventory management.Findings reveal that stockouts stem from interconnected weaknesses in planning accuracy, procurement coordination, and inventory control systems. Effective stock management depends not only on increasing supply but also on improving data quality, integrating inventory information systems with operational workflows, and enhancing cross-functional collaboration. Recommended strategies include implementing a minimum stock alert system integrated with the Hospital Management Information System (HMIS), strengthening standard operating procedures for stockout response and procurement confirmation, improving integration between HMIS, the National Formulary, and budgeting systems, and applying consumption based planning methods combined with ABC VEN analysis to optimize inventory control.

The R05 Community Service Program (KKN), Subgroup 1 in Kalikatir Village, Gondang District, Mojokerto Regency, aims to implement hydram pump technology as an environmentally friendly and energy-efficient irrigation solution. This technology is designed to meet the water needs of 100 hectares of banana plantations, especially during the dry season. The implementation method includes initial surveys, design, manufacture, installation, and testing of the hydram pump, involving the participation of Kalikatir villagers. The results show that the pump is capable of lifting water to a height of 30 meters with 70% efficiency, although it has not yet reached the daily target. This technology has been proven to reduce operational costs and increase agricultural productivity. It is hoped that in the future, this technology can be further developed to improve its efficiency and sustainability.

This study aims to develop a strategic plan for Information Systems and Information Technology (IS/IT) at KR Hotel Palembang by applying the Ward and Peppard methodology. The analysis began with external environment assessment using the PEST framework and internal analysis through the MOST method and Value Chain model. The results were synthesized into a SWOT analysis to identify the organization's strengths, weaknesses, opportunities, and threats. From this, Critical Success Factors (CSF) were formulated to guide the determination of key information system needs. Application portfolio mapping was then conducted using the McFarlan Strategic Grid to classify systems based on their strategic impact. Findings indicate that KR Hotel has strong potential in leveraging digital technologies but faces challenges such as the absence of integrated systems across departments and limited IT training for staff. To address these issues, an integrated system named ZKBiolock was proposed, encompassing modules such as hotel management, financial management, customer relationship management (CRM), human resource training systems, digital promotion, and internal network monitoring and control. This strategic plan is supported by a comprehensive database design, network topology, human resource and infrastructure analysis, investment budgeting, and Return on Investment (ROI) evaluation. The proposed strategy aims to enhance the efficiency and effectiveness of the hotel's operational management.

Occupational Health and Safety (OHS) is an important element in creating a safe, healthy, and sustainable work environment. PT. X as a logistics and port operations company has potential occupational hazards originating from physical, chemical, and biological factors that need to be managed optimally. This study aims to evaluate the implementation of OHS at PT. X based on the results of measurements of physical, chemical, and biological factors of the work environment and their compliance with the provisions of the Minister of Manpower Regulation No. 5 of 2018. This study uses a descriptive method with an evaluative approach to work environment monitoring data in 2025 in the generator and office areas. The parameters analyzed include noise, lighting, hot work climate (ISBB), inhalable and respirable dust exposure, and microbiological air quality in the form of total bacteria and fungi. The results show that most parameters meet the specified standards, with the exception of the generator area which exceeds the noise limit and the hot work climate which exceeds the Action Level (AL). The implementation of OHS at PT. X has been running quite well, indicated by most of the work environment parameters that meet the standards. However, strengthening risk controls, particularly regarding noise and hot working conditions in operational areas, is still necessary. This evaluation is expected to serve as a basis for continuous improvement in the implementation of Occupational Health and Safety (OHS) to protect workers from potential occupational hazards and support the productivity and sustainability of company operations.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

This study aims to analyze the influence of Work Life Balance and Work Discipline on Employee Productivity at Seblak Bageur Bandung. The research background is based on operational phenomena such as high work intensity, consumer complaints regarding service accuracy, and pre-survey results indicating that Work Life Balance and Work Discipline are dominant factors affecting productivity. This study uses a quantitative method with descriptive and verificative approaches. The research population consisted of 34 employees, all of whom were used as samples through total sampling technique. Instruments in the form of questionnaires were tested for validity and reliability, then analyzed using multiple linear regression, t-test, F-test, and coefficient of determination. The results show that: (1) Partially, Work Life Balance (X1) has a regression coefficient of 0.801 > 0.3388, so H1 is accepted; Work Discipline (X2) has a regression coefficient of 0.862 > 0.3388, so H2 is accepted. (2) Simultaneously, Work Life Balance does not have a significant effect on productivity because the Work Discipline variable is more dominant, with a regression coefficient (b1) of 0.125, t-value of 0.591, and significance of 0.559. Meanwhile, Work Discipline has a stronger influence with a regression coefficient (b2) of 0.749, t-value of 3.543, and significance of 0.001. Overall, this study confirms that improving Work Life Balance and especially Work Discipline is an important strategy for increasing employee productivity at Seblak Bageur Bandung.

This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

Official travel constitutes a routine yet strategically significant component of local government administration, closely intertwined with bureaucratic processes, public financial management, and accountability arrangements. Despite its operational importance and fiscal visibility, official travel management has received limited integrative attention in the public administration literature, and existing studies remain fragmented across procedural, financial, and governance perspectives. This article addresses this gap by providing a comprehensive literature review on administrative efficiency in official travel management within local governments, with particular attention to bureaucratic processes and cost control mechanisms. Adopting a narrative–analytical literature review design, the study employs a state-of-the-art and theory-driven synthesis of recent peer-reviewed scholarship in public administration, public financial management, governance, and related fields. The analysis integrates thematic and conceptual synthesis techniques to identify recurring patterns, relationships among key concepts, and unresolved issues in the literature. The findings reveal consistent patterns of procedural inefficiency, including administrative burden, complex approval chains, and process fragmentation, which persist even under formal cost control and accountability systems. The review further demonstrates that compliance-oriented financial controls often secure fiscal conformity without necessarily improving administrative efficiency, particularly when misaligned with bureaucratic workflows and constrained by limited administrative capacity. Governance and accountability mechanisms enhance transparency and oversight but frequently prioritize answerability over performance learning, thereby legitimizing inefficiencies rather than resolving them. By synthesizing insights from Administrative Efficiency Theory, Public Financial Management, Bureaucratic Process Theory, Administrative Capacity Theory, and Governance and Accountability perspectives, this article advances an integrative conceptual framework that explains efficiency outcomes as systemic products of interacting institutional dimensions.

Local governments manage substantial public resources under conditions of decentralization, fiscal complexity, and heightened accountability demands, making them particularly vulnerable to financial mismanagement and fraud. In this context, risk-based internal oversight has increasingly been promoted as a governance-oriented alternative to traditional compliance-based supervision. This literature review article examines how risk-based internal oversight is conceptualized, operationalized, and linked to fraud prevention and control in the management of local government finance. The study addresses a central problem in the existing literature: the fragmentation of analytical perspectives across risk-based internal auditing, fraud risk management, internal control systems, public financial management, and public accountability, which has limited a comprehensive understanding of how internal oversight contributes to safeguarding public funds. The primary objective of this article is to synthesize and integrate these strands of literature to clarify the role of risk-based internal oversight as a systemic governance mechanism for fraud prevention and control at the subnational level. Methodologically, the study employs an integrative literature review approach, drawing on peer-reviewed journal articles and authoritative institutional publications indexed in major academic databases over the past decade. A structured search, screening, and thematic synthesis process was applied to identify patterns, convergences, and divergences across conceptual, empirical, and policy-oriented studies. The findings indicate a clear shift from compliance-oriented inspection toward risk-based internal oversight that prioritizes high-risk financial processes—particularly procurement, grants, and asset management—where fraud risks are most pronounced. The synthesis further shows that effective fraud prevention depends on the alignment of risk-based oversight with fraud risk management practices, robust internal control systems (including SPIP).

Digital transformation has become a central agenda in local governments seeking to improve the effectiveness, accessibility, and reliability of public service delivery, particularly in population administration services that constitute the legal foundation of citizenship. In Indonesia, the Surabaya City Government has implemented the Klampid New Generation (KNG) program as an integrated digital platform for population administration services, aiming to streamline civil registration processes, enhance service quality, and expand citizen access. Despite its technological ambition, the implementation of digital population administration services continues to face persistent challenges related to administrative capacity, especially at the municipal level where services are operationalized and directly experienced by citizens. This issue raises an urgent academic and practical question regarding how administrative capacity shapes the performance and sustainability of digital public services within the broader digital government transformation. This article aims to synthesize and critically evaluate the existing scholarly literature on administrative capacity in the implementation of digital population administration services, with analytical relevance to the KNG program in Surabaya City Government. Employing an integrative literature review design, the study systematically examines peer-reviewed journal articles published between 2021 and 2025, retrieved from Scopus, DOAJ, Google Scholar, and SINTA databases. Articles were selected based on predefined inclusion and exclusion criteria and analyzed using thematic and conceptual synthesis techniques. The review identifies key dimensions of administrative capacity that consistently influence digital service implementation, including institutional and organizational arrangements, human resource competence, technological and infrastructural readiness, regulatory and procedural alignment, inter-organizational coordination, and the role of street-level bureaucrats in frontline service delivery.

The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework integrates homomorphic encryption with differential privacy for aggregate-level protection and secure multi-party computation for collaborative data processing. The proposed system was validated in a simulated multi-cloud environment using CloudSim, Ethereum blockchain, and AWS EC2. Experimental results indicate homomorphic encryption latency of approximately 450ms per operation and statistically significant security improvements (t(128) = 12.47, p < 0.001), privacy (t(95) = 8.93, p < 0.001), and throughput (t(156) = 15.21, p < 0.001). The framework achieved differential privacy with ε = 0.1 while retaining 99.2% data utility, and demonstrated a 34% improvement in processing speed over conventional differential privacy approaches. In addition, the implementation was observed to be 2.3× faster than BGV-based configurations, with 45% lower memory consumption than CKKS and a 67% reduction in ciphertext size relative to baseline implementations. From an operational perspective, the framework shows a 23% reduction in security management costs, a 31% improvement in resource utilization efficiency, and an 18% decrease in compliance audit expenses. The model further indicates a 27% reduction in total cost of ownership (TCO) compared with multi-vendor security solutions, a projected return on investment (ROI) within 14 months, and an 89% reduction in security incident response costs under the evaluated conditions.

Fully Homomorphic Encryption (FHE) enables computation on encrypted data with end-to-end confidentiality; however, its practical adoption remains limited by substantial computational costs, including long encryption and decryption times, high memory consumption, and operational latency. Zero-Knowledge Proofs (ZKPs) complement FHE by enabling correctness verification without revealing sensitive information, although they do not support encrypted computation independently. This study integrates both techniques to enable encrypted computation with verifiably consistent results. A prototype system is implemented in Python using Microsoft SEAL for homomorphic encryption and PySNARK for Zero-Knowledge Proof verification. Experiments are conducted on standard consumer-grade hardware (Intel i5, 8 GB RAM, Ubuntu 22.04) using datasets ranging from 100 MB to 1 GB. The evaluation focuses on encryption and decryption time, homomorphic computation latency, memory usage, and proof generation overhead. Experimental results show that integrating ZKPs introduces a moderate and stable runtime overhead of approximately 15–20%, as analyzed in Section 4, while enabling verification without plaintext disclosure. Ciphertext expansion remains a notable limitation, with observed growth of approximately 30–40× relative to plaintext size, consistent with prior FHE implementations. Despite these overheads, the system demonstrates feasible scalability for datasets up to 1 GB on mid-level hardware. Overall, the results indicate that the integrated FHE+ZKP approach provides a practical balance between confidentiality, verifiability, and performance, supporting its applicability to privacy-preserving scenarios such as secure cloud computation, encrypted data analytics, and confidential data processing under realistic resource constraints.

The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for network intrusion detection. The proposed model integrates three complementary components: (i) a convolutional neural network for hierarchical feature extraction from network flow data, (ii) a radial basis function (RBF) network for localized nonlinear classification using prototype-based decision regions, and (iii) an attention mechanism that adaptively weights RBF activations to emphasize discriminative traffic patterns. SMOTE is applied exclusively to the training data to mitigate class imbalance. The framework is evaluated on the widely used CICIDS2017 and CICIDS2018 benchmark datasets in both binary and multiclass settings, using recall, precision, F1-score, confusion matrices, and ROC analysis. Experimental results demonstrate that the proposed hybrid model consistently outperforms standalone CNN and RBF baselines, particularly in terms of recall and F1-score. On the CICIDS2018 dataset, the model achieves 99.81% accuracy and 99.81% F1-score in binary classification, and 99.54% accuracy and 99.54% F1-score in multiclass classification. On CICIDS2017, it achieves 98.12% accuracy and 98.12% F1-score in binary classification, and 98.92% accuracy and 98.92% F1-score in multiclass classification. Confusion matrix and ROC analyses further show strong class separability and reliable performance in low–false-positive-rate regions, which is critical for real-world IDS deployment. These results confirm that combining deep hierarchical feature learning, localized prototype-based classification, and attention-guided refinement yields a robust, operationally reliable intrusion detection framework for highly imbalanced network environments.

This study evaluates the implementation of spot-check testing for road preservation works in Manado City, specifically on the Kairagi–Mapanget segment, the Manado City–Wori boundary, and the Liwas Terminal Access Road, to identify existing problems and assess the effectiveness of engineering-based mitigation efforts. The objective is to examine construction quality compliance with technical specifications and identify operational challenges encountered on site. The methodology encompasses the measurement of asphalt layer thickness and density via a core drill, the examination of contract documents, the analysis of laboratory test results, and the execution of field observations. The findings show that most samples meet the required standards, although several locations require corrective action. Challenges arise from weather conditions, heavy traffic, equipment limitations, and the need for adaptation to updated technical regulations. Operational mitigation strategies, staff training, the use of core drill technology, and digital documentation were found to enhance accuracy and efficiency in evaluation. The research demonstrates the value of stakeholder collaboration and capacity building in supporting quality control for road preservation works. A multidimensional approach is effective in resolving technical and operational complexities in urban road projects.

This study aims to analyze the actualization of Pancasila values in the Articles of Association and Bylaws (AD/ART) of the Dharma Wanita Persatuan (DWP) in Panggungrejo District, Blitar Regency. The study used a qualitative approach with a phenomenological design to understand the experiences and views of informants regarding the application of Pancasila values in organizational practice. Data were collected through structured interviews, field observations, organizational documentation, and validated using triangulation of sources, techniques, and time. The results show that material values are reflected in operational discipline, mutual cooperation, and transparency in resource management; vital values are manifested through the AD/ART as guidelines for work and the implementation of educational, social, and empowerment programs; while moral values are evident through communication ethics, the practice of deliberation and consensus, and strengthening solidarity among members. These findings confirm that the AD/ART functions as a connecting instrument that integrates material, vital, and moral values, thereby creating an organizational structure that aligns with Pancasila. This study has important implications for strengthening the character and ethics of organizations based on national values at the local level.

The study analyzes the implementation of the 5S method (Seiri, Seiton, Seiso, Seiketsu, Shitsuke) in improving shoe production quality at the Assembly section of PT X through observation, interviews, and documentation. Involving supervisors, production leaders, and operators, the study aimed to assess the impact of 5S on production processes. The results showed that the implementation of 5S successfully created a more organized, cleaner, and standardized work environment. These improvements led to a reduction in potential work errors, increased process efficiency, and the establishment of an employee disciplinary culture. Employees became more aware of maintaining cleanliness and orderliness, which contributed to a smoother workflow and better quality control. The findings align with theories of quality management, organizational behavior, and operations management, demonstrating the benefits of 5S in enhancing operational effectiveness. This study confirms that integrating the 5S method into industrial practices, particularly during internships, is an effective strategy to encourage continuous improvement and enhance production quality in the industry.

This study aims to examine how standard costing can be used as a tool for planning and controlling production costs in salted egg cracker micro, small, and medium enterprises (MSMEs). MSMEs need to manage their production costs effectively to increase their profitability in an era of increasingly fierce business competition. A case study was used to collect data through interviews, observations, and financial document analysis. The study shows that the implementation of standard costing has helped more accurate production cost budget planning. This makes it easier for management to compare standard costs with actual costs, which allows for effective and efficient cost control. Furthermore, the findings indicate that standard costing can serve as a benchmark and evaluation tool to improve operational effectiveness. Furthermore, this study suggests that MSMEs should incorporate a standard costing system into their financial reporting process and educate management and employees about the importance of cost control. Therefore, implementing standard costing can be a long-term strategy to keep the company operational and competitive in an increasingly competitive market.

This study aims to determine the effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency. The population in this study consisted of all fishermen in Menawi Village, Angkaisera District, Kepulauan Yapen Regency. The research sample included 15 fishermen. The data collection technique used in this study was observation through interviews with fishermen, and the data were analyzed using multiple linear regression analysis with the assistance of SPSS 21.0 for Windows. The results of this study indicate that (a) there is a significant simultaneous effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency; (b) there is a positive and significant partial effect of selling price and operational costs on fishermen’s income in Menawi Village, Angkaisera District, Kepulauan Yapen Regency, which can form the basis for economic policy and natural resource management in the fisheries sector. This research is expected to provide insight for policymakers in formulating strategies to increase fishermen's incomes through improved selling prices and more efficient operational cost management.

The rapid growth of short-form social media platforms has increased the complexity of decision-making during the digital content planning stage. Content creators are required to evaluate the feasibility of content ideas and determine platform suitability prior to production, while most existing tools primarily focus on post-publication analytics. This study aims to design an Artificial Intelligence (AI)-enabled Decision Support System (DSS) to evaluate digital content ideas in the pre-production stage. Adopting a Design Science Research approach, the study develops a conceptual design artifact that integrates intrinsic content idea characteristics with cognitive and affective response modeling grounded in the Stimulus–Organism–Response (S-O-R) framework, alongside platform affordance mapping. The proposed artifact operationalizes a reflective evaluation mechanism that generates platform recommendation scores and idea enhancement suggestions without claiming deterministic or predictive performance modeling. Evaluation was conducted qualitatively through practitioner assessment to examine perceived usefulness, clarity of recommendations, and decision support contribution. The findings indicate that the developed artifact provides a structured reflective framework for early-stage content evaluation. Theoretically, this study extends the application of the S-O-R framework by operationalizing it as a design logic for a pre-production DSS artifact. Practically, the proposed system has the potential to support more systematic decision-making prior to content production.