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Introduction:Governance is a crucial aspect of financial institutions, including Islamic rural banks (BPR Syariah), to ensure sustainability and competitiveness. PT. BPR Syariah Barokah Dana Sejahtera faces challenges in governance implementation, particularly in the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) era. Several obstacles, such as inconsistency, insufficiently comprehensive governance guidelines, and lack of intensive socialization, hinder the effectiveness of governance practices. Purpose: This study aims to examine the implementation of governance at PT. BPR Syariah Barokah Dana Sejahtera and formulate strategies to optimize governance practices in response to the challenges of the VUCA era. Methodology:This research employs a qualitative approach with a case study method. Data were collected through observations, document analysis, and interviews. The analysis process follows a structured approach, including data collection, data reduction, data presentation, and conclusion verification. Findings:The study identifies key challenges in governance implementation, including inconsistency, incomplete governance guidelines, and inadequate socialization efforts. Strategies to strengthen governance in the VUCA era are explored, covering aspects such as self-assessment results, governance strengthening, technology and digitalization strategies, risk management, competitiveness enhancement through product innovation, collaboration and synergy strategies, as well as strategies for adapting to regulations and the business environment. Paper Type:Research Article. Keywords:BPR Syariah; Digitalization; Governance; Risk Management; Vuca.

Islamic micro-financial institutions (LKMS) provide services for micro businesses in the form of deposits, financing, and social assistance as the main activities. The COVID-19 pandemic engenders an adverse impact, breeding members’ inabilities to measure up to their duties. The inabilities are regretted as LKMS should have also been able to assist its members in sustaining as a form of social responsibility. The research aims to prove paradoxes in business and social performance. We applied a descriptive quantitative approach to a secondary data analysis of business and social performance reports during the COVID-19 pandemic until 2021. The research population covered 154 members of the Islamic cooperative parent, and the samples were 51 LKMS in the Islamic cooperative center. Conclusions were drawn from data analysis using stakeholder and stewardship theories. The results demonstrated that the COVID-19 pandemic incurred negative impacts, i.e., a decreased business performance of LKMS of 8.4% on average for two years. Meanwhile, another finding exhibited an increase in social performance by 27%. Based on the data, we could argue that a decrease in LKMS business performance bred an increase in social performance.

Non-Performing Financing (NPF) is the inability of customers to meet their obligations in accordance with the contract, which can be categorized into three types namely substandard, doubtful and bad debt (macet). NPF is the main and biggest risk for sharia banks, hence the ability of sharia banks to identify, measure, monitor and control the risks of financing and capital provision is very important. Sharia banks will face greater risks than conventional banks because of the risk of sharia reputation. Besides being influenced by internal and external factors of sharia banks, NPF can also be influenced by the financing contract (akad) used.This study analyzes the level of financing risk based on the contract. The population and sample are all Sharia Rural Banks in Indonesia with 167 secondary data in the form of the publication of financial statements for 2011-2018. Analysis of the data using quantitative descriptive methods with a survey approach. The analyzed data are NPF data based on an eight year financing contract. This study managed to obtain data that the BPRS is more interested in financing with certainty of results, proven that murabahah has the highest outstanding compared to other contract. The results of this study also indicate that the low risk contract is in the murabahah contract, while the contract with the medium risk is in the mudarabah, musyarakah, multijasa, qard and istisna and the contract with the highest risk is salam and ijarah contract.

Conventionally, researchers have favored the model-based control scheme for controlling gantry crane systems. However, this method necessitates a substantial investment of time and resources in order to develop an accurate mathematical model of the complex crane system. Recognizing this challenge, the current paper introduces a novel data-driven control scheme that relies exclusively on input and output data. Undertaking a couple of modifications to the conventional marine predators algorithm (MPA), random average marine predators algorithm (RAMPA) with tunable adaptive coefficient to control the step size (CF) has been proposed in this paper as an enhanced alternative towards fine-tuning data-driven multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller parameters for the multi-input–multi-output (MIMO) gantry crane system. First modification involved a random average location calculation within the algorithm’s updating mechanism to solve the local optima issue. The second modification then introduced tunable CF that enhanced search capacity by enabling users’ resilience towards attaining an offsetting level of exploration and exploitation phases. Effectiveness of the proposed method is evaluated based on the convergence curve and statistical analysis of the fitness function, the total norms of error and input, Wilcoxon’s rank test, time response analysis, and robustness analysis under the influence of external disturbance. Comparative findings alongside other existing metaheuristic-based algorithms confirmed excellence of the proposed method through its superior performance against the conventional MPA, particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), salp-swarm algorithm (SSA), slime mould algorithm (SMA), flow direction algorithm (FDA), and the formally published adaptive safe experimentation dynamics (ASED)-based methods.

The increasing volume of plastic waste and the inefficiencies in current recycling practices pose serious environmental and economic challenges, especially in developing countries. This study aims to enhance the performance and sustainability of plastic pelletizing operations by designing, implementing, and evaluating an automated screen mesh cleaning machine. A quantitative-experimental approach was applied, incorporating engineering design tools (AutoCAD and SolidWorks) and industrial quality control frameworks (Pareto and Fishbone analysis). Comparative data collected over six months included production volume, reject rate, screen mesh waste, and operational downtime. The results show substantial improvements across all metrics. Reject rates were reduced by 23–24%, screen mesh waste declined by 29%, and downtime decreased by 30%. These efficiency gains translated into a 36% reduction in operational costs. The cleaning machine also proved to be mechanically reliable, effectively removing contaminants without damaging screen mesh components. The integration of CAE tools ensured optimal design functionality, while quality management methods validated the intervention’s effectiveness. This research confirms that targeted mechanical innovations can significantly enhance resource efficiency and product quality in recycling processes. It offers a practical solution aligned with sustainable development objectives, especially SDG 12, SDG 13, and SDG 14. The findings provide valuable insights for manufacturers and policymakers aiming to improve recycling outcomes and reduce the environmental impact of plastic waste.

The camshaft on the Kijang LGX was broken after 14 years of use. This study aims to determine causes of camshaft fracture using finite element approach. The software used is Solidworks and ANSYS 17.0 for FEM simulation. The results to be obtained from the simulation results are stress, strain, and deformation which are then analyzed. The results showed that the greatest stress occurred in the fillet section where the area with highest stress concentration was 168.93 MPa. This value is smaller than the compressive strength so that the applied stress is within the limits of the strength of the material. Maximum stress location is 7 mm away from the fracture site (53.17 MPa), therefore the stress is not the main cause of the camshaft fracture and it can be assumed that there is a defect. The maximum strain is located at the same location as the maximum stress which is 0.0015361 mm/mm. The maximum deformation value is 0.016741 which is far from the fracture (located at the end of the cam). This value is included in the elastic deformation of the material so that the load applied to the camshaft does not change shape / does not lead to plastic deformation that triggers the appearance of cracks.

The aim of this research work is to fabricate Electrostatic Discharge (ESD) compliant material utilizing Fused Deposition Modelling. FDM technique was utilized to fabricate ESD-compliant material. Polylactic acid (PLA) was chosen as the main material and blended with the conductive filler Carbon Black (CB) N550. Various CB compositions, ranging from 3-10wt% of Carbon Black N550, were mixed with PLA through a dry blending process for 24 hours at 40 rpm. The resulting material mixture was subsequently extruded into filaments using the 3Devo filament maker. CAD design and Ultimaker Cura slicer were utilized to construct the final product design and printing was carried out using Creality CR-6 SE. ESD test results showed that filament composition consisting of 97wt% PLA and 3wt% Carbon Black N550 achieved the desired ESD characteristics within the specified range. Furthermore, the mechanical properties of this selected blend demonstrated enhanced tensile strength and aligning well with its morphological behavior.

Cupping therapy is a well-established traditional treatment with various health benefits. However, existing electric cupping devices lack precise pressure control and portability which limit their usability across different skin types. This paper presents the development of a smart and portable cupping suction device with multi-mode functionality for dry, wet, and massage cuppings. Designed using an ESP32C3 XIAO microcontroller, a differential pressure sensor (MPX5100DP), and a motor driver (L293D) to enable real-time pressure regulation, the system incorporates a proportional-integral derivative (PID) to maintain a consistent suction performance at the negative pressures of -25, -35, and -45 kPa. The device was tested on different skin conditions of clean, less hairy, and slightly hairy surfaces. A real-time monitoring interface was additionally integrated using a web server to track the variation in pressure. Experimental results demonstrate effectiveness of the PID control system in achieving stable pressure with minimal fluctuations with enhanced user safety and comfort. It advances the medical devices for therapeutic automation by offering a portable, precise, and user-friendly cupping solution.

Introduction to The Problem:This study analyzed the effects of Social Media Marketing, Content Marketing, and Electronic Word of Mouth on the customers' decision to use Bank Aladin Syariah, one of the Islamic Digital banks in Indonesia. Purpose/Objective Study:The research object was Bank Aladin Syariah customers throughout Indonesia. Design/Methodology/Approach:This study used online questionnaires and obtained 100 respondents who were Bank Aladin Syariah's customers using purposive sampling. This study used a quantitative method with multiple linear regression analysis, t-test, f-test, and coefficient of determination test. Findings:The results indicated that, positively and significantly, Social Media Marketing affected the customers' decision to use Bank Aladin Syariah; Content Marketing did not affect the customers' decision to use Bank Aladin Syariah; positively and significantly, the Electronic Word of Mouth affected the customers' decision to use Bank Aladin Syariah. Simultaneously, positively and significantly, Social Media Marketing, Content Marketing, and Electronic Word of Mouth affected the customers' decision to use Bank Aladin Syariah. Paper Type: Research Article.

Natural fibers are increasingly being used as an alternative material to replace synthetic fiber. One of the abundant natural fibers used as an alternative is Walikukun fiber (WF). WF was treated at varied alkali concentrations (KOH). The single fiber strength revealed that the 6% KOH variation produced the highest tensile strength of 454.75 MPa. WF has a high crystallinity index and reached 89.95% with 6% alkali treatment. The result showed that there was a higher cellulose content in the fiber treated with alkali KOH than in the untreated fiber. The FTIR analysis showed that the KOH treatment broke down the lignin part in the characteristic band and increased I 2 cellulose, which made the WF cellulose content higher. The increase in cellulose improved the fiber density, signifying that adding KOH refined the fiber’s density. After KOH treatment, the fiber’s diameter became smaller and its thickness was reduced. The fiber’s crystallinity index indicated improvement in binding lignin and hemicellulose in WF. Thermal testing proved that KOH concentrations positively strengthened the fiber’s thermal resistance. The optimal KOH concentration for polymer composites is 6%, which enhances fiber parameters, crystallization index, tensile strength, and thermal stability, making it suitable for reinforcement.