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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 aims to analyze the financial performance of KSP Kopdit Obor Mas using the PEARLS method (Protection, Effective Financial Structure, Asset Quality, Rates of Return and Cost, Liquidity, Signs of Growth) and to examine its relevance within the Resource Based View (RBV) framework. The research employed a descriptive method with both qualitative and quantitative approaches. Data were collected through observation, interviews, documentation, and cooperative financial reports from the Annual Member Meeting (RAT) for the period 2022–2024. The results indicate that the Protection aspect is categorized as healthy, as the risk reserve ratio is sufficient to cover delinquent loans. The Rates of Return and Cost aspect also shows good performance due to stable operational cost efficiency. However, weaknesses were found in the Effective Financial Structure, Asset Quality, and Signs of Growth aspects, particularly in the declining membership growth. From the RBV perspective, the cooperative possesses valuable and rare resources in the form of strong risk management capability and operational efficiency, but it has not fully developed a strong capital structure and asset quality to achieve sustainable competitive advantage. Therefore, the cooperative should improve credit management, strengthen institutional capital, and enhance membership growth to maintain long-term financial sustainability.

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.

This internship report analyzes the implementation of internal control systems in safeguarding member investments at KSP Kopdit Obor Mas Pasar Tingkat Branch. The study was conducted from August 1 to December 19, 2025, using observation, interview, and documentation methods. The internal control system analyzed refers to the COSO framework, which includes five main components: control environment, risk assessment, control activities, information and communication, and monitoring. The findings indicate that KSP Kopdit Obor Mas has implemented an internal control system to protect member assets and investments; however, weaknesses were identified in several aspects, such as cases of misappropriation of member savings by employees, highlighting the need for strengthening internal control policies. These findings emphasize the importance of an effective internal control system in maintaining member trust and the operational sustainability of credit cooperatives. This report provides improvement recommendations to enhance the effectiveness of the internal control system to minimize the risk of fund misappropriation and increase the security of member investments.

An internal control system is a system consisting of an organizational structure, plans, methods, and coordinated procedures that help safeguard company assets, improve operational effectiveness and efficiency, and support the implementation of regulations established by management.This study aims to analyze the effectiveness of the implementation of internal control systems in cash management through the cash opname mechanism at KSP Kopdit Tuke Jung Head Office Nelle. Data collection in this study used interview, observation, and documentation methods. This study uses a qualitative descriptive approach referring to the COSO (Committee of Sponsoring Organizations of the Treadway Commission) components, which consist of five components, namely control environment, risk assessment, control activities, information and communication, and monitoring. The research results show that the effectiveness of the internal control system in cash management through cash opname has been implemented but has not fully met the five components of the internal control system according to COSO. The elements that have not been fulfilled are control activities, information and communication, and monitoring. Nevertheless, some components of the internal control system implemented at KSP Kopdit Tuke Jung have been operating effectively.

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.

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 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.

PT. XYZ is one of the largest retail companies in Indonesia. PT. XYZ has a website-based application that functions to help employees who work in IT Support to handle operational problems. However, this website has not implemented a session management system which can affect the level of security. Therefore, a system design was created for real-time session management using Firestore, Python, and Javascript. Firestore is used as a database to store sessions and Firestore has a feature called the Firestore snapshot listener which functions to detect changes in real-time. The research method includes identifying needs, initial prototype design, prototype creation, prototype evaluation, prototype refinement, and system implementation. Black Box Testing is used as a method for testing this system, where the results are in accordance with the needs and interviews are conducted with the admin of this website to test the session management system and find out the admin's response regarding the designed session management system. The results obtained are satisfactory because security can be further improved, user experience is improved, and the company's needs can be achieved.

The success of information systems projects in the digital transformation era is often hindered by unhealthy team dynamics, even when technical aspects have been optimally met. This study aims to analyze the synergy between inclusive communication strategies and digital leadership styles in building team health and sustainable performance. The research method employed is a qualitative literature study, integrating variables such as digital leadership, psychological safety, and knowledge management. The results indicate that digital leadership serves as a primary catalyst in creating a psychologically safe work environment, which in turn enhances the creative self-efficacy of team members. Synergy is effectively established when leaders adopt transparent communication channels through digital collaboration tools to mitigate role conflict and technostress within hybrid work environments. Furthermore, knowledge coordination is proven to strengthen team cohesiveness through the conversion of personal knowledge into strategic organizational assets. The study concludes that the integration of empathic communication and adaptive leadership is the fundamental basis for the cognitive, psychological, and operational health of the team. This research produces a managerial synergy framework to mitigate the risk of project failure caused by human factors in the digital era.

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.

The growth of the culinary industry requires small-scale food businesses to implement effective and efficient operational management. This study analyzes the optimization of operational management at Teen Canteen by examining the use of digital systems, staff performance, the implementation of Standard Operating Procedures (SOP), and operational constraints. A descriptive qualitative approach was employed, with data collected through semi-structured interviews and direct observation. The informant was purposively selected, namely the Head Bar, who is directly involved in daily operational activities. Data analysis was conducted using the Miles and Huberman model. The findings indicate that Teen Canteen’s operational management has not been optimally implemented due to the discontinuation of digital cashier systems, reliance on manual transaction and inventory records, and inconsistent SOP implementation. Although staff performance is generally adequate, issues related to discipline and service responsiveness remain. This study recommends reintroducing digital cashier systems and establishing written SOPs to improve operational effectiveness.

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

This research investigates thermal material properties and performance characteristics for high-speed vessel components subjected to extreme thermal stress during sustained high-speed operations. High-speed vessels including patrol boats, fast ferries, and naval craft experience elevated thermal loads from high-power density propulsion systems, aerodynamic heating, and sustained operational intensities creating demanding conditions for structural and mechanical components. Through qualitative analysis involving naval architects, materials engineers, high-speed vessel operators, and component manufacturers, this study examines how material thermal properties affect component durability, performance, and safety while identifying optimal material selections for critical applications. Results demonstrate that advanced thermal materials including high-temperature aluminum alloys, titanium alloys, ceramic composites, and thermal barrier coatings can extend component service life by 40-70%, improve thermal management effectiveness by 25-45%, and enhance operational reliability compared to conventional materials. Key implementation challenges include material cost premiums of 150-300%, manufacturing complexity, limited operating experience, qualification testing requirements, and supply chain constraints. Findings reveal that strategic thermal material selection for critical components represents essential enabling technology for high-speed vessel performance, reliability, and operational availability supporting defense, commercial, and emergency response applications requiring sustained high-speed capabilities. This research contributes to marine materials engineering literature by providing evidence-based frameworks for thermal material selection applicable to diverse high-speed vessel applications.

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.

This research investigates integrated legal-human resource frameworks for autonomous vessel operations in Indonesian archipelagic waters, addressing regulatory compliance gaps and seafarer workforce transition challenges. Through qualitative analysis involving 38 stakeholders including maritime lawyers, regulatory officials, ship operators, seafarer unions, training institutions, and autonomous technology developers, this study examines how existing maritime legal frameworks prove inadequate for unmanned operations while workforce displacement threatens 150,000+ Indonesian maritime workers. Results demonstrate that successful autonomous vessel adoption requires coordinated legal-HR approaches addressing liability allocation (achieving 75-85% clarity through multi-party frameworks), competency certification for remote operators (reducing training gaps by 60-70%), career transition pathways (enabling 55-65% workforce adaptation), and regulatory harmonization (improving compliance efficiency by 45-60%). Key barriers include UNCLOS Article 94 incompatibility, insurance unavailability, seafarer resistance, and jurisdictional fragmentation. Findings reveal that archipelagic contexts demand unique legal-HR solutions integrating traditional maritime rights, hybrid operational modes, and just transition principles. This research contributes frameworks enabling Indonesia to proactively shape autonomous vessel regulations protecting both technological innovation and maritime workforce interests during critical technology transition.

The stability of disposal slopes is a critical aspect of open-pit mining operations because it directly affects operational safety and the continuity of overburden dumping activities. Disposal areas composed of overburden materials generally exhibit heterogeneous characteristics, particularly when soft materials such as mud are present, which can significantly reduce slope stability. Therefore, a comprehensive slope stability evaluation is required prior to further disposal development. This study aims to assess the stability condition of a disposal slope under initial conditions, evaluate the influence of material conditions, and analyze the effectiveness of counterweight application in improving both the safety factor and disposal capacity. The research methodology involved the collection of primary and secondary data, including slope geometry, lithological conditions, and the physical and mechanical properties of disposal materials obtained from laboratory testing and company technical data. Slope stability analysis was performed using the limit equilibrium method with the assistance of geotechnical software, taking into account groundwater conditions and operational loading. The analysis results indicate that the initial disposal condition yielded a safety factor of 0.718, indicating an unstable slope condition. After simulating the removal of mud material, the safety factor increased to 0.907 but remained below acceptable stability criteria. The application of a counterweight significantly improved slope stability, resulting in a safety factor of 1.498. Further optimization through slope geometry redesign produced a final safety factor of 1.101, which satisfies the requirements stipulated in KEPMEN ESDM No. 1827 K/30/MEM/2018. Additionally, the redesign increased the disposal capacity from 119,507,864.23 LCM to 119,682,378.22 LCM, representing an increase of 174,513.99 LCM. These results demonstrate that counterweight application combined with geometric optimization is effective in enhancing both slope stability and disposal capacity.

Culinary MSMEs serve as a vital economic pillar; however, they often encounter significant internal management obstacles and low digital competitiveness. Sabila Snack & Bakery faces complex challenges, including unstructured production schedules, limited digital marketing literacy, inconsistent visual branding, and financial record-keeping that remains intertwined with personal funds. This community service initiative aims to provide applicable solutions by strengthening internal management and digital marketing strategies to enhance operational efficiency and business competitiveness. The methodology employed is Participatory Action Research (PAR), encompassing stages of observation, interviews, technical assistance, and evaluation. The results indicate a significant transformation in business governance. The implementation of daily production schedules has successfully improved workflow regularity and operational efficiency. Furthermore, branding reinforcement through the establishment of a permanent logo, the creation of systematic product catalogs, and the optimization of social media platforms such as WhatsApp Business, Instagram, and TikTok has effectively increased business visibility and professionalism in the digital sphere. Additionally, the application of a simple bookkeeping system has fostered administrative discipline and a clear separation between personal finances and business capital. Overall, this intervention has successfully transitioned the business from traditional management patterns toward a more structured, professional, and sustainable management model ready to compete in a broader market.

Information technology (IT) infrastructure planning plays a strategic role in supporting organizational performance and achieving business objectives. However, many organizations experience misalignment between IT infrastructure planning and organizational needs, leading to inefficiencies, limited system integration, and suboptimal utilization of IT investments (Maulana, 2024; Njanka et al., 2025). This study aims to analyze the suitability of IT infrastructure planning with organizational needs using a quantitative approach. The research framework integrates the Strategic Alignment Model (SAM), Strategic Alignment Maturity Model (SAMM), and COBIT 2019 governance principles. Data were collected through a structured questionnaire distributed to IT managers and system users. A total of 85 valid responses were analyzed using descriptive statistics and gap analysis. The results indicate that IT infrastructure planning is moderately aligned with organizational needs, particularly in supporting operational activities. Nevertheless, significant gaps were identified in system integration, scalability, and long-term infrastructure planning. These findings highlight the importance of continuous evaluation and governance-based IT planning to enhance alignment and ensure sustainable organizational performance.