Sriwijaya University

Dibenzothiophene (DBT) is a persistent organosulfur compound present in fossil fuels that is difficult to remove using conventional desulfurization methods. This study developed hydrochar-based CaAl layered double hydroxide (LDH) composites derived from hydrochar obtained from the lowland algae Cladophora sp. and Spirogyra sp. as environmentally friendly photocatalysts for DBT degradation under visible light irradiation. The CaAl–ClHC and CaAl–SpyHC composites were synthesized via a microwave-assisted hydrothermal method and characterized using FTIR, XRD, SEM–EDS, BET, UV–DRS, PL, TG–DTA, Mott–Schottky, and XPS analyses. The results show that the incorporation of algae-derived hydrochar enhances surface area, extends visible-light absorption, reduces bandgap energy, and suppresses electron–hole recombination. Among the prepared materials, CaAl–SpyHC exhibited the best performance, with a bandgap energy of 2.61 eV and a surface area of 50.861 m2/g. Under optimal conditions, CaAl–SpyHC achieved a DBT photodegradation efficiency of 69.46 % within 120 min, outperforming CaAl–ClHC (59.20 %) and pristine CaAl LDH (50.26 %). Scavenger experiments revealed that superoxide radicals (•O2−) are the dominant reactive species during degradation. Mott–Schottky and PL analyses further confirmed that the enhanced photocatalytic activity is attributed to improved charge transfer and more efficient electron–hole separation driven by strong interfacial interactions between LDH and hydrochar derived from algae. Notably, the composite derived from Spirogyra sp. exhibited superior performance compared to that from Cladophora sp., highlighting the greater potential of Spirogyra sp. as a precursor for hydrochar in photocatalytic desulfurization applications.

Leersia hexandra, a perennial grass widely distributed in rice agroecosystems, presents a striking ecological paradox. It is simultaneously recognized as an asymptomatic reservoir for Xanthomonas spp. the causal agent of Bacterial Leaf Blight (BLB), and as a potent ecoremediation agent capable of hyperaccumulating heavy metals such as chromium. This hypothesis-driven systematic review, conducted in accordance with PRISMA guidelines, addresses this dual identity by integrating findings from phytopathology and environmental sciences through the lens of the cross-tolerance hypothesis. We propose that the physiological mechanisms enabling tolerance to chronic abiotic stress also modulate the plant’s interaction with biotic pathogens. Based on a synthesis of 30 primary studies, we suggest that the physical traits of L. hexandra (e.g., iron plaque formation) and its internal biochemical defenses, primed by long-term abiotic exposure, may create a tightly regulated host–pathogen equilibrium. This containment does not eliminate the pathogen but may allow sustained, asymptomatic colonization, positioning L. hexandra as a potential cryptic reservoir. The very traits that enable pollutant remediation may inadvertently facilitate pathogen survival, rendering this species a persistent “green bridge” for BLB epidemics. These findings highlight the need for integrated management strategies that reconcile environmental resilience with disease risk and invite experimental validation of the proposed framework.

The research aims to examine the antecedents of Fintech Peer-to-Peer (P2P) lending adoption in Indonesia by extending the UTAUT3 framework with financial risk tolerance and artificial intelligence literacy. It also explores the moderating role of green self-identity and gender differences in P2P lending adoption. Data were collected from 421 respondents in Indonesia using a non-probability voluntary response sampling approach and analyzed using the PLS-SEM method. The results indicate that performance expectancy, effort expectancy, social influence, and AI literacy have a positive and significant influence on behavioral intention toward P2P lending. Facilitating conditions positively and significantly affect use behavior. Green self-identity weakens the relationship between behavioral intention and use behavior. No significant gender differences were found in the correlations between behavioral intention, use behavior, and financial inclusion. This study advances the literature on financial innovation by bridging theory and practice in the context of AI-enabled Fintech P2P lending. By integrating empirical evidence with policy considerations, the findings highlight the importance of collaboration between regulators and Fintech providers in fostering responsible innovation. The results provide actionable implications for designing user-centered lending systems that enhance financial inclusion. In this regard, the study contributes to the advancement of inclusive digital finance and supports Indonesia’s broader strategic objective of expanding sustainable and equitable access to financial services.

Indonesia's tropical peatlands hold vast carbon stores but face degradation from anthropogenic pressures such as agriculture, logging, and mining. The main objective of this study is to identify the determinants of community willingness to pay (WTP) for agrosilvofishery and to estimate its economic value to support sustainable peatland management. This study surveyed 617 residents of Perigi Village, Indonesia. A structured questionnaire was used to assess smallholder farmers' WTP for agrosilvofishery models. Using a double-bounded dichotomous choice contingent valuation method and econometric estimation, the findings indicate that higher bid prices reduce WTP; respondents preferred low and medium bids. Overall, most respondents expressed a willingness to participate financially in agrosilvofishery practices. Significant factors influencing WTP include birthplace, income, regular income, expenditure, previous agrosilvofishery experience, experience with droughts or fires, expected profit, and environmental risk perception. Flood variables had no effect, while drought and fire significantly increased WTP. The findings highlight the importance of effective communication strategies and policy design to address perceived barriers and promote the benefits of agrosilvofishery.

Industrial wastewater containing a mixture of various heavy metals requires an adsorption technology capable of selective and efficient operation. This study examines Hermetia illucens larval shells (H. illucens LS) as unactivated biosorbents, characterizing their physicochemical properties and evaluating adsorption performance in a multi-metal batch system. XRD analysis indicates the dominance of CaCO3 phases with contributions from chitin-based biopolymers; FTIR reveals changes in functional group vibrations associated with surface complexation and ion exchange mechanisms after metal interaction; BET analysis shows a specific surface area of 8.464 m(2)/g with mesoporous characteristics, and SEM-EDX confirms pore narrowing and the presence of lead (Pb), iron (Fe), and copper (Cu) after adsorption. Selectivity tests involving seven metal ions demonstrate that Fe(III), Pb(II), and Cu(II) are preferentially adsorbed, forming the basis for mechanistic interpretation and the novelty of this study. The adsorption affinity follows the order Fe(III) > Pb(II) >> Cu(II), reflecting differences in charge density, coordination behavior, and competitive binding strength in multi-metal systems. Kinetic analysis indicates that adsorption follows a pseudo-first-order model which in this case is dominated by rapid initial interactions. Isotherm modeling shows that Fe(III), Pb(II), and Cu(II) are best described by the Freundlich model (R-2 > 0.99), confirming heterogeneous adsorption involving multilayer coverage. Thermodynamic parameters indicate that Fe(III) and Pb(II) adsorption is spontaneous and exothermic, whereas Cu(II) adsorption is less favorable due to weaker surface affinity. Overall, these findings demonstrate the intrinsic selectivity of H. illucens larval shells governed by surface chemistry rather than surface area, and support their potential as a cost-effective and sustainable biosorbent, with economic considerations discussed in this study, for multi-metal wastewater treatment.