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SUSTAINABILITY PERFORMANCE, GREEN INNOVATION AND ECO-EFFICIENCY ON COMPANY VALUE WITH COMPREHENSIVE PROFITABILITY AS MODERATION
Jurnal Akuntansi, Keuangan dan Auditing
Vol 7
, No 1
(2026)
Research so far has still provided inconsistent results on the role of profitability moderation in the influence of sustainability performance, green innovation and eco-efficiency on firm value, and does not involve comprehensive profit and attributable profit in the profitability formulation, even though the meaning of profit has shifted since the implementation of fair value accounting and entity theory in financial reporting. The purpose of this study is to test the role of profitability mode...
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Optimization of Mangrove Glucomannan Addition to Improve Physicochemical Properties of Kefir
Jeki Mediantari Wahyu Wibawanti
; Zulfanita
; Dita Yuzianah
; Harisun Binti Ya’acob
; Anang Mohamad Legowo
; Setya Budi Muhammad Abduh
; Sri Mulyani
Kefir is widely recognized as a functional fermented dairy product. However, its physicochemical stability, particularly pH, acidity, and syneresis, remains a challenge during processing and storage. The addition of functional polysaccharides, such as mangrove-derived glucomannan, has been proposed to improve kefir quality. This study aimed to investigate the effect of mangrove-derived glucomannan on the physicochemical properties of kefir. A Completely Randomized Design with different concentra...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation
Bottlenecks in apparel manufacturing often cause unbalanced production flows, increased waiting times, and reduced system performance. This study aims to analyze and eliminate bottlenecks by integrating Design of Experiments (DOE) and Discrete Event Simulation (DES). Four workstations (X1–X4) were selected as experimental factors, while system performance was evaluated using bottleneck indicators across six production stages (Y1–Y6). DOE was used to design capacity scenarios, and DES assessed sy...
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EFFECTS OF PRETREATMENT METHODS ON THE LIGNOCELLULOSIC COMPOSITION OF SALACCA MIDRIBS
This study aims to determine the effect of pretreatment on hemicellulose, cellulose, and lignin content of Salacca midrib. Unlike previous studies, this study was designed to evaluate the effects of single-, double-, and triple-stage pretreatments on the sallaca midrib. The study was also designed to evaluate the differences in the physical and biological pretreatment methods. The pretreatments applied consist of physical, chemical, biological, physicochemical, chemical-biological, physical-biol...
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MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
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Effect of Different Layers on the Performance of Laminate Epoxy Composite Reinforced with Textile Waste
Thomas Junaedi
; Siregar, Januar Parlaungan
; Zalani, Mohamed Reza
; Imran, Al Ichlas
; Tezara Cionita
; Endah Murtiana Sari
; Deni Fajar Fitriyana
; Etanto Heiliano Wijayanto
Post-consumer textile waste poses significant environmental problems, but its potential for commercial recycling remains under-researched. Therefore, this study utilizes calico textile (CT) waste as reinforcement in polymer composites. The effect of layering number of CT in epoxy composite will be investigated. CT was varied with three layers, namely 1, 3, and 5 embedded in epoxy resin with the hand lay-up method in open molding. The mechanical testing of pure epoxy as a control point for tensil...
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Microencapsulation of Phycocyanin from Spirulina platensis by Freeze-Drying: Optimization of Maltodextrin–Soy Protein Matrices for Enhanced Stability and Antioxidant Functionality
Marlina, Dian
; Saputra, Ryan Werytama
; Aji Prasetyo, Takad Bagas
; Muhamad Ansory, Hery
; Aisiyah, Siti
; Purwaningsih, Desi
Phycocyanin, a natural blue pigment from Spirulina platensis, exhibits strong antioxidant activity but is highly unstable under light, heat, and pH variations, limiting its practical applications. This experimental study addresses the lack of systematic optimization data on maltodextrin–soy protein isolate (SPI) wall matrices for phycocyanin microencapsulation via freeze-drying. Phycocyanin was extracted using phosphate buffer and encapsulated at different maltodextrin:SPI ratios (9:1, 8:2, and...
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In Vitro Degradation and Mechanical Performance of Mg AZ31B for Biodegradable Bone Implant Applications
Magnesium AZ31B is a promising biodegradable implant material due to its mechanical properties comparable to natural bone and its ability to degrade in physiological environments, potentially eliminating the need for secondary surgery. However, its rapid degradation can cause a significant loss of mechanical integrity, limiting its use in load-bearing applications. This study investigates the evolution of mechanical properties and surface characteristics of AZ31B during in-vitro immersion in Sim...
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PROFILE OF CLIMATE CHANGE LITERACY AND SUSTAINABILITY AWARENESS ON GLOBAL WARMING MATERIAL
This study critically maps the climate change literacy (CCL) and sustainability awareness (SA) profiles of eighth-grade students at SMPN Satap 5 Hanau regarding global warming material. Employing a quantitative descriptive approach as an initial R&D needs assessment, the study uses cognitive tests, attitude questionnaires, and behavioral observations. Results reveal a pronounced behavioral gap: students excel in basic knowledge (average 86.5%) and show strong environmental concern (83.2%), b...
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