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The problem faced is the decline in the performance of a 650 liter/minute centrifugal pump due to wear on components, especially the impeller, rolling bearings, and mechanical seals in supplying process water and clean water in industrial production systems. The planning objective is to obtain a maintenance schedule for a 650 liter/minute centrifugal pump for the operational period of 2026 and the ratio between maintenance costs and profits generated by the machine. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing centrifugal pump specifications, applying the inspection, replace, repair, and overhaul (IRRO) approach, estimating the age and price of components that are expected to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the 2026 period, and determining the ratio of maintenance costs to profits. The planning results are in the form of a maintenance schedule for the 2026 period worth IDR 4,290,000,-, a maintenance cost to profit ratio of 7.44% and the implications indicate that the machine is still suitable for use and prospective for operations in the next few years.  

Overburden stripping operations in the coal mining industry require optimal performance of loading and hauling equipment to achieve production efficiency. This study aims to evaluate the performance of loading and hauling equipment using the Match Factor method in overburden stripping operations at PT Bumi Artlantis Raya. The results indicate that the equipment combination achieved a Match Factor of 0.85, reflecting moderate compatibility with a potential efficiency improvement of 15%. The actual productivity of Excavator 4002 reached 137.02 bcm/hour (91.35% of the 150 bcm/hour target), while Excavator 4004 exceeded the target with a productivity of 195.73 bcm/hour (130.49% of the target). In contrast, dump truck productivity remained relatively low (Mercedes dump truck: 35.58 bcm/hour; Hino dump truck: 35.40 bcm/hour), primarily due to waiting time during loading and disposal activities. Statistical analysis reveals a strong negative correlation between cycle time and productivity (R² = 0.9929). The optimal cycle time to achieve a Match Factor of 0.80 is 969 seconds, corresponding to an optimal hauling distance of 5.38–6.725 km. Although mechanical availability and physical availability were high (94–100%), the use of availability and effective utilization were relatively low due to an imbalance between loading and hauling equipment. This study concludes that improving equipment coordination, increasing bucket fill factor, enhancing haul road conditions, and implementing preventive maintenance are essential to achieving more optimal operational efficiency in overburden stripping activities.

This study analyzes the synergy between human resource development (HRD), work culture, and decision-making systems in enhancing productivity and organizational performance. The approach used is a descriptive qualitative literature review, with sources from peer-reviewed articles from 2021-2025 obtained through databases such as Google Scholar and ScienceDirect. The research findings indicate that HRD can improve employee competence by up to 28.7%, while work culture contributes 41.4-55% to motivation and collaboration within teams. Decision-making systems, such as AHP (Analytical Hierarchy Process) and BI (Business Intelligence), play a role in optimizing operational efficiency by up to 65%. The synergy of these three elements forms a more adaptive organization to change. One example of the implementation of this synergy can be seen in PT X Jakarta, which experienced a 28% increase in output and employee satisfaction reached 85%. However, the main challenge faced is resistance to change, which can be overcome through effective communication. The practical implications of this study include recommendations for holistic organizational transformation, especially in Indonesia, to face the challenges of global disruption.

The development of information technology has encouraged restaurants and cafés to function not only as dining places, but also as venues for hosting various events. However, the event reservation process at Rumah Makan Ny. Hartini and Café Rain is still carried out manually through logbooks, telephone calls, and WhatsApp, resulting in problems such as unorganized data, delayed confirmations, and miscommunication with customers. In addition, the manual system limits access to information regarding venue availability, reservation schedules, and additional facilities required by customers. This study aims to develop a web-based event reservation information system using the prototyping method. The system design was carried out using Unified Modeling Language (UML), including use case diagrams, activity diagrams, and class diagrams to model user interactions, process flows, and system structure. The results of the study show that the developed system is able to automate the reservation process, customer data recording, reservation confirmation, schedule management, and additional facilities management. This system improves operational efficiency, data accuracy, and service quality, while also making it easier for customers to make reservations independently and obtain information quickly and accurately.

Toko Jahit SA’aminah is a business engaged in tailoring services and the sale of sewing supplies that still manages data manually using record books. This condition causes several problems, such as slow data recording, the risk of data loss or damage, difficulties in monitoring the status of tailoring work and inventory, as well as obstacles in preparing tailoring service and sales reports. This study aims to design and develop a web-based tailoring service and sales information system to optimize the effectiveness and efficiency of operational performance. The system development method used is the waterfall method, which includes the stages of requirements analysis, system design using UML (Use Case Diagram, Activity Diagram, and Class Diagram), implementation using the Laravel framework with the PHP programming language and MySQL database, as well as system testing using the Black Box Testing method. The results show that the developed system is able to facilitate the management of tailoring service and sales data, monitor the status of tailoring work, check the availability of sewing supplies, and accelerate the preparation of tailoring service and sales reports to be submitted to the owner of Toko Jahit SA’aminah.

This study aims to analyze the application of the franchising system on business performance in the beverage franchise business through a case study of Mitra Minuman Siap Saji. The approach used is qualitative with a case study design, with data collection techniques in the form of in-depth interviews, operational observations, and supporting documentation. The results show that the implementation of standardized Standard Operating Procedures (SOPs), franchisor support in the form of training, raw material supplies, and periodic monitoring contribute significantly to improving business stability, product quality consistency, and customer satisfaction. However, there are limitations in flexibility and several communication obstacles that have the potential to affect the effectiveness of the partnership. The relatively strict contract structure also impacts partners' perceptions of local innovation space, although it is generally still viewed as providing business security and business model clarity. These findings emphasize that a balance between franchisor control and partner autonomy, accompanied by open communication and fair contract design, is a key factor in creating sustainable business performance in a franchising system.

Queueing systems play an important role in evaluating service performance, especially in small-scale businesses such as barbershops, where fluctuating customer arrival patterns and limited service capacity often lead to long waiting times. This study aims to analyze the performance of barbershop services using the M/M/1 queueing model and an analytical approach based on experimentally tested arrival (λ) and service (μ) rates. The model was selected because it represents a single-server system with Poisson arrivals and exponentially distributed service times, closely matching real barbershop operational characteristics. Using assumed realistic parameters, the analysis shows that when λ = 12 customers per hour and μ = 6 customers per hour, the system becomes unstable with a utilization rate (ρ) exceeding 1, indicating continuous queue growth. Further simulations with increased service rates demonstrate significant improvements: at μ = 15, the system achieves ρ = 0.8 with an average waiting time of 16 minutes, while at μ = 13, the system remains stable but experiences a long waiting time of approximately 55 minutes. These findings emphasize that barbershop performance is highly sensitive to service speed and that even small increases in μ can produce substantial improvements in queue stability and customer waiting times. The study concludes that barbershops must ensure adequate service capacity—either through optimizing service duration, improving worker efficiency, or adding servers—to maintain service quality and enhance customer satisfaction.

This study examines the administrative problems in managing the Education Data Sistem (Dapodik) as a key instrument for strengthening the institutional capacity of Early Childhood Education (PAUD) in West Sumatra. Using a literature review approach, data were collected from various sources, including reports from the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek), BAN PAUD and PNF, and previous studies. The findings reveal that although Dapodik reporting in West Sumatra has reached 97.8%, several challenges persist, such as limited internet access, low operator competence, insufficient technical supervision, and a lack of institutional awareness of data accuracy. These issues have led to delays in accreditation, misallocation of operational assistance funds (BOP), and ineffective educational planning. Therefore, innovative solutions such as Dapodik gamification, digital inter-institutional mentoring, and operator certification are recommended to improve data management effectiveness and sustainably strengthen PAUD institutional governance.

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

Increasing traffic activity at unsignalized intersections often results in congestion and delays. The intersection of Jl. Imam Bonjol and Jl. Daya Nasional experiences these conditions, making performance evaluation necessary. This research tends to scrutinize the intersection performance under existing conditions and five-year projected conditions and to identify appropriate improvement measures. The analysis was carried out using the 2023 Indonesian Road Capacity Guidelines (PKJI 2023) and PTV VISSIM microsimulation software. Data on intersection geometry, vehicle speed, and traffic volume were collected through CCTV observations on weekdays and weekends. The results show that under existing conditions, the degree of saturation reached 1.170 with an average delay of 33.75 seconds (LOS D). In the five-year projection, the degree of saturation increased to 1.239 with an average delay of 53.69 seconds (LOS E). These findings indicate a decline in intersection performance, highlighting the need for alternative traffic management measures to improve operational performance and service levels.    

The development of digital banks and the operational losses still experienced by PT Bank Aladin Syariah Tbk necessitate a financial health analysis to assess the potential for financial distress. This study aims to assess the potential bankruptcy level of Bank Aladin for the period 2021–2024 using the Modified Altman Z-Score model. The research method is descriptive quantitative with secondary data from annual financial reports and OJK publications, which are analyzed through four main ratios, namely working capital, retained earnings, earnings before taxes, and equity value to total debt. The results show that the Z-Score values are well above the safety threshold, with the highest value of 17.764 in 2021 and the lowest of 9.422 in 2022, mainly driven by high liquidity and equity strength. Thus, it can be concluded that PT Bank Aladin Syariah Tbk is in the Safe Zone category and does not show any potential for bankruptcy during the research period, although an increase in profitability is still needed.

Optimizing human resource (HR) performance through a business process reengineering (BPR) approach is a crucial strategy in a competitive and dynamic industrial environment. This study qualitatively examines through a literature review how BPRs radically redesign business processes to improve productivity, quality, time efficiency, and reduce operational costs, with a focus on HR aspects such as recruitment, training, performance appraisal, and career development. The BPR theory by Michael Hammer and James Champy emphasizes the principles of results-based workflow reorganization, the integration of information technology such as ERP and AI, and the empowerment of HR to eliminate task redundancy. In the Indonesian industrial context, the integration of BPR with digital transformation supports Industry 4.0, where HR acts as a catalyst for innovation through adaptive skills and cross-functional collaboration. The study results show that BPR implementation strategies including as-is process analysis, to-be design, change management, and continuous evaluation increase employee motivation, retention, and sustainable competitive advantage. Case studies such as PT Telkom Indonesia and PT Cahaya Mega Group demonstrate efficiency increases of up to 100%. This approach not only streamlines operations but also builds an organization resilient to market and technological disruption.

Supplier selection is a strategic aspect of supply chain management that directly impacts product quality and operational efficiency within a company. PT. XYZ, operating in the fashion industry, is currently facing the challenge of selecting the optimal t-shirt supplier and lacks an appropriate decision-making method. The objective of this research is to provide insights into the best decision-making approach for PT. XYZ by applying the Analytical Hierarchy Process (AHP) method. The determination of suppliers is carried out by considering four main criteria, namely product quality, product price, delivery time, and service. The data obtained were generated from interviews and questionnaires given to the owner of PT. XYZ. The results of the analysis have shown that product quality is the most influential criterion with a weight of 0.716, followed by service (0.113), delivery time (0.093), and product price (0.078). The final result states that supplier C has the highest priority weight, which is 0.763. Therefore, PT. XYZ is recommended to choose supplier C as the best alternative supplier. The results of this study indicate that the AHP method can be used as a systematic and objective decision-making tool for supplier selection.

This study presents a high-accuracy real-time soft failure detection framework for large-scale fiber-to-the-home(FTTH) optical access network using a hybrid ensemble of Isolation Forest and One-Class Support Vector Machine (OCVSM). The proposed model was trainde and validated on a real-word multivariate performance dataset comprising more than 1.8 million samples collected at 5-minute intervals from 50 Optical Line Terminal (OLTs) and over 3,000 Optical Network Terminals (ONTs) across a five-month periode(June-October 2025). Ground-truth validation was performed using 111 confirmed network incidents in October 2025 affecting 12,990 customer. The hybrid ensemble achieved Precision 0.940, Recall 0.982, with an average detection delay of only 7.8 minutes-representing an 87.7% reduction compared to conventional manual response (63.5 minutes). The framework significantly outperforms traditional threesholding and recent ML-based methods while demonstrating practical deployability in live operational enviroments.

Digital transformation is an urgent need for MSMEs to maintain competitiveness, yet many businesses like Toko ANHA Kosmetik still rely on manual operational systems that pose a high risk of inefficiency and losses due to expired products. This study aims to design and develop a mobile-based cosmetic sales application capable of integrating inventory management with an early warning feature for product expiration. The methodology employed is Design Thinking, encompassing the stages of empathize, define, ideate, prototype, and test to ensure the solution is user-centered. The results indicate that this approach successfully identified the primary pain points of the store owner and translated them into functional features such as automatic T-30 expired date notifications and digital product catalogs. System testing was conducted using Black Box Testing, yielding 100% functional validity, and User Acceptance Testing (UAT), which resulted in an average score of 83.49%, categorized as "Excellent." This study concludes that the designed application is not only technically effective in preventing operational losses but also highly acceptable to MSME users due to its intuitive and functional interface.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

Public service reform in Indonesia increasingly emphasizes inter-agency collaboration as a mechanism to enhance administrative efficiency, service integration, and responsiveness to citizens’ needs; however, in many regions, including West Kotawaringin Regency, collaborative practices remain fragmented due to uneven human resource (HR) capacities, inconsistencies in standard operating procedures (SOPs), and limited technological integration across institutions. This study aims to examine the current state of HR collaboration, identify key barriers and enabling factors, and propose an integrated and adaptive HR collaboration model to strengthen public service delivery. Using a qualitative multi-case study approach, data were collected through semi-structured interviews with leaders and operational staff from multiple regional government agencies and analyzed using NVivo 15 to generate thematic coding and visual tools such as word clouds, hierarchy charts, and project maps. The findings indicate that current collaboration is largely transactional and administrative, exemplified by the physical co-location of agencies at the Public Service Mall (MPP) without effective systemic interoperability. Three critical themes emerged: gaps in HR distribution, competencies, and role clarity; structural and behavioral constraints including sectoral ego, SOP discrepancies, and limited digital integration; and opportunities to enhance collaboration through shared digital dashboards, inter-agency forums, and cross-functional HR mobility. Based on these results, the study proposes a three-pillar Integrated and Adaptive HR Collaboration Model comprising comprehensive digital integration, flexible HR competency sharing, and inclusive service co-creation involving community stakeholders, offering both theoretical contributions to collaborative governance and practical guidance for regional governments seeking to improve public service effectiveness.

This study investigates Qur’an-based healing practices within the Jakarta Qur’anic Structure Studies Community, focusing on the understanding of the Qur’an as Asy-Syifā’ (a source of healing) and the therapeutic application of Qur’anic verses through the Qur’anic Structure method. Employing a qualitative, descriptive-analytical design within a Living Qur’an and phenomenological framework, data were collected through participant observation, in-depth interviews with three key informants, and questionnaires administered to 23 practitioners. The findings show that the community positions the Qur’anic Structure method as an alternative approach to both physical and spiritual healing by treating the entire Qur’an as a medium of cure. This practice is operationalized through four principal patterns: the ‘Ain Structure, Page Structure, Alphabet Structure, and Surah Structure, all of which refer to the 18-line mushaf published by PT Taj Company (Karachi, Pakistan). Practitioners’ testimonies indicate perceived improvements in physical and psychological conditions, framing this method as a form of Qur’anic self-healing (ikhtiar) while reaffirming that ultimate healing belongs solely to Allah SWT.

The interval between 2018 and 2025 represents a defining epoch in financial assurance, characterized by a systemic collision between traditional audit methodologies and the exponential sophistication of fraudulent actors. This research employs a comprehensive library research methodology, utilizing Systematic Literature Review (SLR) to evaluate the evolving landscape of audit and fraud. The study traces the theoretical migration from Cressey’s Fraud Triangle to multidimensional frameworks like the Fraud Pentagon, which emphasizes the roles of arrogance and competence. Through a forensic examination of catastrophic audit failures including Wirecard, FTX, and the emerging risks of crypto-assets, the research identifies recurring patterns of auditor failure in assessing operational risks and internal controls. Furthermore, the report analyzes the dual-edged impact of Artificial Intelligence (AI); while machine learning algorithms offer enhanced detection capabilities, the rise of Generative AI (GenAI) and deepfake technology has empowered perpetrators to execute sophisticated "synthetic reality" frauds. The study critically evaluates regulatory responses, particularly the revision of International Standard on Auditing (ISA) 240, which mandates a more proactive "fraud lens." The findings suggest that the auditing profession faces an existential crisis of relevance, necessitating a fundamental shift toward a forensic mindset supported by advanced technological integration.