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1	Basic Science Education	ABS-24
Integrating Language and Science: A CLIL-Based English for Chemistry Digital Module Putri Adita Wulandari1, Roza Linda2, Tri Padila Rahmasari3, Muryanti4, Nurul Masyithah Rery5 Chemistry Education Department, Universitas Riau1,2,3, Community Education Department, Universitas Riau4,English Education Department, Universitas Riau5 Abstract This study presents the development of an English for Chemistry module based on the Content and Language Integrated Learning (CLIL) approach to improve the competencies of chemistry education students and pre-service teachers. Using the 4-D development model (Define, Design, Develop, Disseminate), the module integrates English language skills with chemistry concepts through interactive and user-friendly digital media. Expert validation confirmed high levels of content (97.23%), media (97.67%), and pedagogical (96.96%) quality, while practicality tests with lecturers and students reached excellent scores (98.4% and 98.54%). The module effectively supports 21st-century learning by enhancing communication, scientific literacy, and digital competence, while promoting sustainable and paperless education. Keywords: CLIL, chemistry education, English for Chemistry, learning media, digital module, sustainability Share Link | Plain Format | Corresponding Author (Putri Adita Wulandari)

2	Basic Science Education	ABS-62
Integrating South Sumatran Local Wisdom into Etno-STEM-Based Differentiated Instruction on Global Warming: A Preliminary Study to Enhance Critical Thinking and Environmental Literacy among Grade X Students Rosdiana (a*), Ida Sriyanti (a), Ismet (a), Hamdi Akhsan (a) (a) Doctor of Education Program, Faculty of Teacher Training and Education, Sriwijaya University, Jl. Srijaya Negara, Palembang, South Sumatera, 30139, Indonesia *06023682429015[at]student.unsri.ac.id Abstract Global warming is a pressing environmental challenge, yet its instruction in Indonesian secondary schools often remains abstract and disconnected from students^ lived realities, limiting the development of critical thinking and environmental literacy. This preliminary study proposes an Etno-STEM-based differentiated learning module that integrates South Sumatran local wisdom, such as Rumah Limas architecture, Songket weaving, and traditional lebung (swamp) agriculture, as meaningful contexts for understanding global warming. Conducted at SMA Negeri 1 Palembang from March to April 2025, the study employed classroom observation, semi-structured teacher interviews, and curriculum document analysis involving 32 Grade X students and 2 science teachers. Findings reveal that current science instruction is predominantly teacher-centered, lacks cultural relevance, and fails to accommodate diverse learning styles. Over 80% of students could not relate global warming concepts to local environmental issues, such as peatland deforestation or emissions from Musi River transportation. Guided by Plomp^s educational design research model, the needs analysis identified three critical elements: heterogeneous student profiles, locally relevant cultural content with scientific connections to climate change, and a gap in inclusive, responsive pedagogy. These insights inform a conceptual framework integrating Tomlinson^s Differentiated Instruction, Etno-STEM principles, and Sustainable Development Goals, particularly SDG 4 (Quality Education) and SDG 13 (Climate Action). The proposed three-phase learning module encompasses cultural contextualization, scientific exploration, and environmental action reflection. This innovative approach leverages culturally grounded, pedagogically responsive strategies to enhance student engagement, conceptual understanding, and ecological awareness in alignment with global sustainability agendas, contributing directly to the achievement of SDGs through contextualized science education. Keywords: Etno-STEM, differentiated instruction, global warming, environmental literacy, critical thinking, SDGs, South Sumatran local wisdom Share Link | Plain Format | Corresponding Author (Rosdiana Rosdiana)

3	Biology and Applied Biology	ABS-54
Agrobiodiversity and Traditional Knowledge in Home Gardens: Supporting Bioconservation and Food Security across Riparian and Wetland Landscapes in South Sumatra Dwi Puspa Indriani, Putri Pertama Ayu, Intan Aisyah Nor Rohma, Dini Iman Sari, Ayu Lestari, Harmida, Hanifa Marisa University of Sriwijaya Abstract Home gardens represent a traditional agroforestry system that integrates a wide variety of plant species and embodies the local ecological knowledge of rural communities. Beyond their role in providing food and medicinal resources, home gardens also contribute to the conservation of germplasm and biodiversity. This study integrates findings from three contrasting ecosystem types in South Sumatra-riparian areas (Muara Penimbung Ulu), inland rural zones (Sidomulyo), and floodplain wetlands (Bangsal-Kuro). The aim was to assess species diversity, utilization patterns, and the contribution of home gardens to bioconservation and household food security. A descriptive-exploratory approach was applied through direct field observations and interviews with 150 household respondents. The results recorded a total of 178 plant species belonging to 92 families, with Zingiberaceae, Poaceae, and Arecaceae being the dominant families. The most common growth form was herbaceous (43%), followed by trees (28%), shrubs (24%), and palms (5%). The main utilization categories were food plants (49%), medicinal plants (23%), and ornamentals (19%). Home gardens in riparian ecosystems showed dominance of flood-tolerant food crops, whereas inland and wetland areas contained more medicinal and spice plants. Local ecological knowledge, particularly among women, plays a key role in preserving and transmitting plant-use practices. These findings highlight the role of home gardens as household-based bioconservation systems that significantly support food security, family livelihoods, and climate change adaptation in humid tropical regions. Keywords: traditional knowledge, home garden, bioconservation, food security, South Sumatra Share Link | Plain Format | Corresponding Author (DWI PUSPA INDRIANI)

4	Chemistry and Applied Chemistry	ABS-6
Variation of Functional Monomers of Preparation of Imprinting Polymer for Selective Analysis of Glibenclamide Lasmaryna Sirumapea, Mauizatul Hasanah, Romsiah, Ensiwi Munarsih, Hilma, David Darwis Sekolah Tinggi Ilmu Farmasi Bhakti Pertiwi Abstract Molecular imprinting technology (MIT) is a technique for the creation of molecularly imprinted polymers (MIPs) with tailor-made binding sites complementary to the template molecules in shape, size and functional groups. In this report, we reported the synthesis, characterization and the application of MIP for glibenclamide. Synthesis was conducted on bulk polymerization method. The component or polymers are : trimethylolpropane trimethacrylate (TRIM) as crosslinker, chloroform and methanol as the porogen solvent, benzoyl peroxide were used as initiator and various of functional monomers were : methacrylic acid (MA), ithaconic acid (ITA). Extraction of the analyte was conducted on the mixture of acetic acid : methanol (15 : 85). Physical characterization applied to all the polymes included functional group identification using Fourier Transform Infrared (FTIR) spectrophotometer, showed that the polymers met the qualification of imprinted polymer- new peaks found indicates that analyte (glibenclamide) has been successfully grafted to the polymers. Morphology elaboration using Scanning Elctron Microscope (SEM-EDX). Adsorption performace was represent by imprinting factor (IF) and &#945- (analogue selectivity). Imprinting factor for MA, MM and ACr based polymers were found : 1,55, 18,2 and 5,9 respectively. The &#945- points showed those three polymers are selective for niacinamide. Keywords: Molecularly Imprinting Polymers, glibenclamide, selective Share Link | Plain Format | Corresponding Author (Lasmaryna Sirumapea)

5	Chemistry and Applied Chemistry	ABS-8
Improved Separation and Adsorption of Ciprofloxacin Using Magnetic Graphene Oxide in Water Analysis Rinawati, Amelia Rizky Az-Zahra, Dian Septiani Pratama, Widiarti, Agung abadi Kiswandono, Herlian Eriska Putra University of Lampung BRIN, Bandung Abstract Water pollution caused by antibiotic residues, particularly ciprofloxacin (CIP), has become a serious global issue as it threatens aquatic ecosystems. This study aims to modify Graphene Oxide (GO) into Magnetic Graphene Oxide (MGO) to be used as an adsorbent in the Dispersive Solid Phase Extraction (DSPE) technique for the preparation and monitoring of CIP residues in aquatic environments. MGO was synthesized via the coprecipitation method by combining GO with magnetic Fe3O4 particles, which impart magnetic properties and facilitate the separation process in DSPE. The characterization of MGO was carried out using Fourier Transform Infrared Spectroscopy (FTIR), X-Ray Diffraction (XRD), Scanning Electron Microscopy-Energy Dispersive X-Ray (SEM-EDX), and UV-Vis spectrophotometry. The results showed that MGO possesses functional groups that support CIP adsorption, with optimal adsorption conditions at pH 5, an MGO mass of 20 mg, and a contact time of 40 minutes. The adsorption efficiency of MGO reached 75.28%, which is higher than that of GO at only 65.53%. This study demonstrates that MGO can be used as an adsorbent for CIP antibiotics and offers an easy separation process in the DSPE technique for monitoring CIP antibiotic residues in aquatic environments. Keywords: Dispersive solid phase extarction, antibiotic, magnetic Share Link | Plain Format | Corresponding Author (Rinawati -)

6	Chemistry and Applied Chemistry	ABS-9
Synthesis, Characterization of Film Chitosan-PVA-Nanomaterial Curcumin-Capped CuO As A Test Material For Escherichia coli Antibacterial Ahmad Fatoni (a*), Ummi Rahmaniar (b), Yenni Sri Wahyuni (a) and Nurlisa Hidayati (c) aPharmaceutical Chemistry, Bhakti Pertiwi High School of Pharmacy Science, Palembang, South Sumatera Indonesia 30128 bUndergraduate of Bhakti Pertiwi High School of Pharmacy Science, Palembang, South Sumatera Indonesia 30128 cDepartment of Chemistry, Faculty of Mathematic and Natural Sciences, Sriwijaya University, Indralaya Ogan Ilir South Sumatera, Indonesia Abstract Curcumin capped CuO nanoparticles are suggested for bio fabrication in this work, and their antibacterial and physicochemical characteristics are documented. Using ethanol extract from turmeric (Curcuma longa L.), curcumin capped CuO nanoparticles were biosynthesised. CuO nanoparticles with a film chitosan PVA curcumin capped CuO were made using the casting technique. To evaluate their antibacterial activity, FTIR, XRD, SEM, and the agar diffusion method were employed. The presence of CuO was revealed by bands at 593 1/cm for the CuO group in the film of chitosan PVA curcumin capped CuO nanoparticles. FTIR studies revealed that the curcumin capped CuO nanoparticles had CuO functional groups at 597 1/cm. The curcumin-capped CuO nanoparticles had crystallite sizes of 4.43 nm. Antibacterial investigations showed that the film chitosan PVA curcumin capped CuO nanoparticles type A had better inhibitory effect than types B and C. Keywords: Antibacterial- chitosan- PVA- curcumin- CuO Share Link | Plain Format | Corresponding Author (Ahmad Fatoni)

7	Chemistry and Applied Chemistry	ABS-12
Sustainable Biodesel Synthesis from Waste Cooking Oil Using Eggshell and Coffe Husk Catalyst V Ardina (a), V M Lia (b), R Rahmi (c), L Marlinda (a*) a) Department of Industrial Chemistry, University of Jambi, Jambi, Indonesia (*marlindalenny[at]unja.ac.id) b) Departement of Chemical Engineering, University of Jambi, Jambi, Indonesia c) Departement of Chemistry, University of Jambi, Jambi, Indonesia Abstract Keywords: biodiesel, waste cooking oil, CaO-K&#8322-O catalyst, eggshell, coffee husk Share Link | Plain Format | Corresponding Author (Lenny Marlinda)

8	Chemistry and Applied Chemistry	ABS-18
Optimization of Malachite Green Dye Adsorption Using Response Surface Methodology with CaO/PEG/Fe&#8323-O&#8324- Composite and Evaluation of Its Antibacterial Properties Ali Nurdin Hidayat1, Rajib Mulia Hakiki1, Della Ayu Eriza2, Nurlisa Hidayati2, Salni3, Poedji Loekitowati Hariani2 1Magister Program of Chemistry, Department of Chemistry, Faculty of Mathematics and Natural Sci-ence, Universitas Sriwijaya, Ogan Ilir 580056, Indonesia 2Department of Chemistry, Faculty of Mathematics and Natural Science, Universitas Sriwijaya, Ogan Ilir 580056, Indonesia 3Department of Biology, Faculty of Mathematics and Natural Science, Universitas Sriwijaya, Ogan Ilir 580056, Indonesia Abstract This study aims to synthesize and evaluate the performance of a CaO/PEG/Fe&#8323-O&#8324- composite as an adsorbent for the removal of Malachite green dye. The composite was characterized using XRD, BET, VSM, and SEM to determine its crystalline structure, specific surface area, magnetic behavior, and surface morphology. Adsorption optimization was carried out using Response Surface Methodology (RSM) based on a Central Composite Design (CCD) to investigate the effects of pH, initial dye concentration, and contact time on adsorption efficiency. The quadratic model showed a good correlation with an R2 value of 0.982. The optimum conditions were achieved at pH 10, a dye concentration of 10.71 mg/L, and a contact time of 120 minutes, resulting in a 94.28% removal efficiency. Furthermore, antibacterial tests against Escherichia coli and Staphylococcus aureus revealed significant inhibition zones, confirming the composite potential antimicrobial. Reusability tests demonstrated good stability, with only a 6.7% decrease in adsorption efficiency after five consecutive cycles. Keywords: CaO/PEG/Fe&#8323-O&#8324-, adsorption, malachite green dye, optimization, antibacterial Share Link | Plain Format | Corresponding Author (Poedji Loekitowati Hariani)

9	Chemistry and Applied Chemistry	ABS-21
Formulation Of Maltodextrin And Chitosan As Coating Materials In The Production Of Encapsulation Of Sungkai Leaf Extract D R Gusti1*, R.Restu L Anggara1, I Lestari 2, M. Ekasari1, D. Erliana1, R. Rahmi2 Faculty of Science and Technology, Universitas Jambi, Jambi, Indonesia Abstract Sungkai leaves have a high oxidant content so they can be used as corrosion inhibitors. Antioxidant compounds are very easily oxidized. so encapsulation protects sungkai leaf extract to slow down the degradation of antioxidant compounds through encapsulation. Encapsulation of sungkai leaf extract uses maltodextrin and chitosan as coatings. Characterization of maltodextrin and chitosan encapsulation in sungkai leaf extract is water content test, solubility and corrosion inhibition test. The ratio of maltodextrin and chitosan obtained is 8:2 Keywords: Sungkai leaves, antioxidant, encapsulation, maltodextrin, amd chitosan. Share Link | Plain Format | Corresponding Author (Diah Riski Gusti)

10	Chemistry and Applied Chemistry	ABS-23
Utilization of Petroleum Sludge Waste as an Al-Fe Oxide/C Catalyst and Its Characterization Department of Chemistry, Faculty of Mathematics and Natural Science, Universitas Sriwijaya, Jl. Palembang-Prabumulih Km. 35., 30662 Indralaya, Sumatra Selatan, Indonesia Abstract This research addresses the utilization of petroleum oil sludge, which is classified as hazardous and toxic waste (B3), into an Al-Fe/C oxide adsorbent through sulfuric acid (H2SO4) activation using the hydrothermal method. The adsorbent leverages the significant content of C (51.7%), Al (1.6%), and Fe (10.8%) present in the waste. The primary goal is to synthesize the Al-Fe/C oxide into an effective adsorbent for the removal of methylene blue (MB) and eriochrome black T (EBT) dyes. Morphological and metal component characterization was performed using Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDX), while the Bronsted and Lewis acid sites were analyzed using Fourier-Transform Infrared Spectroscopy (FTIR). The adsorbents performance was evaluated by determining the optimum conditions for pH, contact time, and dye concentration, and then analyzed using adsorption isotherm and kinetic models. The initial oil sludge powder exhibited surface acidity of 0.646 mmol/g, internal acidity of 4.9878 mmol/g, and total acidity of 5.6338 mmol/g. The optimum conditions for the Al-Fe/C oxide adsorbent in adsorbing MB were found at pH 7 with a contact time of 20 minutes and a dye concentration of 90 mg/L. For EBT, the optimum conditions were at pH 3 with a contact time of 180 minutes and a dye concentration of 70 mg/L. The adsorption kinetics for both dyes followed the pseudo-second-order model, with rate constants of 0.0712 g/mg.min (MB) and 0.0028 g/mg.min (EBT). The adsorption isotherm for MB fit the Freundlich model (R2= 0.9491), while EBT followed the Langmuir model (R2= 0.9325). These results indicate that the Al-Fe/C oxide hydrothermally synthesized from oil sludge is effective and potentially useful as a functional adsorbent for dye wastewater treatment. Keywords: Oil Sludge, Al-Fe/C Oxide, Adsorbent, Methylene Blue, Eriochrome Black T, Hydrothermal Synthesis. Share Link | Plain Format | Corresponding Author (Zainal Fanani)

11	Chemistry and Applied Chemistry	ABS-26
Sustainable Production and Multidisciplinary Applications of Phycocyanin: A Systematic Review Eva Musifa (a), Alinda Tania (b*), Indah (b), Yadi Oktariansyah (c), Yuniar Harvianti (c), Amanda Astri Pratiwi Febrianti (d) (a) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Sriwijaya University (b) Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Sriwijaya University (c) Department of Biology, Faculty of Mathematics and Natural Sciences, Sriwijaya University (d) Department of Marine Science, Faculty of Mathematics and Natural Sciences, Sriwijaya University Abstract Phycocyanin, a vibrant blue pigment-protein complex predominantly sourced from cyanobacteria and algae, holds significant promise across diverse scientific and industrial fields due to its bioactive properties. This paper uses the systematic review employs the PRISMA meta-analysis methodology to critically analyze recent advances in phycocyanin production, with the dual objectives of optimizing yield and purity, while comprehensively examining its multidisciplinary applications in life sciences. A total of 252 peer-reviewed studies published between 2015 and 2025 were selected from leading databases. The findings of this study reveal that phycocyanin production efficiency heavily depends on optimized extraction and purification protocols to achieve maximal purity and functional quality. The multidisciplinary impacts of phycocyanin span key sectors such as food and nutrition, pharmaceuticals and medicine, cosmetics, environmental biotechnology, and analytical diagnostics. Despite these promising applications, several challenges persist, including low production yield, chemical and physical instability, purity requirement for applications as well as extraction and cultivation limitation. This review also proposes strategic recommendations, including advancements in sustainable cultivation, innovative purification techniques, and promotes sustainability and cost-effectiveness. The study underscores the critical need for integrative, cross-disciplinary approaches to fully harness the potential of phycocyanin, promoting its role as a sustainable bio resource with broad life science and industrial relevance. Keywords: Phycocyanin Production- Multidisciplinary applications- Systematic Review Share Link | Plain Format | Corresponding Author (Eva Musifa)

12	Chemistry and Applied Chemistry	ABS-58
Sonochemical Synthesis of Glucomannan Derivatives with p-Aminobenzoate and Benzotriazole Ligands Hapin Afriyani*(a), Dian Septiani Pratama(a), Devi Nur Anisa (a), Amelia Khairunisa(a), Icha Dwi Lusiana(a) a. Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Lampung Jl. Sumantri Brojonegoro 1, Gedong Meneng, Rajabasa, Bandar Lampung, Lampung, 35145, Indonesia Abstract Glucomannan is a natural polysaccharide derived from Amorphophallus muelleri (porang) tubers, which possesses outstanding potential as an environmentally friendly functional material. In this study, chemical modification of glucomannan was successfully carried out through two main stages: the formation of a glucomannan-aldehyde intermediate (GA1) and the synthesis of GA pABA and GA BTA derivatives using a sonochemical method. The first stage involved the oxidation of glucomannan with sodium periodate (NaIO4), which cleaved the C2 to C3- bond in the pyranose ring to produce reactive aldehyde groups. Sonication at a frequency of 20 to 40 kHz for 30 to 60 minutes accelerated the formation of GA1 compared to the conventional 24 hour reflux method. In the second stage, GA1 was reacted with p-aminobenzoic acid (pABA) and benzotriazole (BTA) through a reductive amination reaction to yield stable secondary amine derivatives. The imine formation occurred under mildly acidic conditions (pH 5.5) and was subsequently reduced using sodium cyanoborohydride (NaBH3CN) to strengthen the CN bond. The resulting products were yellow (GA pABA) and grayish white (GA BTA) powders. FTIR characterization confirmed the presence of imine stretching bands at 1640 to 1650 and the decrease of hydroxy and carbonyl intensities from GA1, indicating successful modification. The sonochemical method was efficient, energy saving, and capable of producing glucomannan derivatives with potential applications as green biopolymer based corrosion inhibitor precursors Keywords: Benzotriazole- Glucomannan- p-Aminobenzoic acid- Reductive amination- Sonochemistry Share Link | Plain Format | Corresponding Author (Hapin Afriyani)

13	Chemistry and Applied Chemistry	ABS-60
Preparation of Activated Carbon Palm Kernel Shell Using NaOH/Ultrasonication Activation as an Adsorbent of Naphtol Dyes Intan Lestari, Sultan Leofayuda, Rendi Apriansyah, Nurul Pratiwi Program Study of Chemistry, Faculty of Science and Technology, Universitas Jambi Abstract Liquid waste of synthetic dyes from textile and batik industries contains dyes such as naphthol which are difficult to degrade naturally, are toxic and have the potential to cause negative impacts on aquatic ecosystems. The manufacture of activated palm shell carbon using NaOH and ultrasonication has been carried out for the absorption of naphthol dyes. The study was conducted by activating carbon with 2M NaOH and physical activation through ultrasonication at a frequency of 40 kHz for 30 minutes. Characterization of activated carbon was carried out through proximate analysis to determine the content of water, ash, volatile, and fixed carbon. Analysis with a Fourier Transform Infrared (FTIR) instrument to identify the functional groups of activated carbon, Scanning Electron Microscopy (SEM) to see the surface morphology and ImageJ software analysis to see the average pore size distribution. FTIR analysis confirmed the presence of functional groups -OH, C-O, and aromatic C=C which play a role in the adsorption process, while SEM results showed a carbon surface with more open pores and increased after activation. The adsorption test of naphthol dye solution showed optimum capacity at pH 4 condition with adsorption capacity of 1.957 mg/g, contact time of 30 minutes with Q = 1.990 and naphthol absorption concentration increased to 300 mg/L with Q = 20.590 mg/g. Keywords: Activated carbon, palm kernel shell, ultrasonication, adsorption, naphtol. Share Link | Plain Format | Corresponding Author (Intan Lestari)

14	Chemistry and Applied Chemistry	ABS-65
Data Driven Design of Binary Metal Oxides Electrocatalyst for Oxidation / Evolution Reactionubmit This Sample Abstract Nirwan Syarif (a*), Herlina (b), Widia Purwaningrum (a) a) Department of Chemistry, Universitas Sriwijaya * nsyarif[at]unsri.ac.id b) Department of Physics, Universitas Sriwijaya Abstract This paper reports on a predictive model we developed for catalyst design. This work began with collecting data on electrocatalysts prepared using transition metal oxides- this data set is then referred to as a dataset. The application of algorithms is crucial in learning to obtain high-performance classification and prediction models. The database machine learning used in this study is a support vector machine algorithm with parameters for the formation of the learning model being overpotential and current density- while the variable is the composition of the metal oxide. This work begins with collecting data on electrocatalysts prepared using transition metal oxides- this data set is then referred to as a dataset. The application of algorithms is crucial in learning to obtain high-performance classification and prediction models. To assess the model performance, a confusion matrix available in the Scikit-learn module is used. Keywords: machine-learning- electrochemistry- chemi-informatics- material- energy Share Link | Plain Format | Corresponding Author (Nirwan Syarif)

15	Chemistry and Applied Chemistry	ABS-66
Recent Advances And Emerging Applications Of Graphene Oxide And Reduced Graphene Oxide : From Environmetal Remediation To Energy Devices Ikbal Adrian, Bijak R Ahadito, Nurlisa Hidayati, Muhammad Said Departemen of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas of Sriwijaya Abstract Graphene oxide (GO) and reduced graphene oxide (rGO) have garnered considerable attention as multifunctional materials with promising potential for adsorption and energy storage applications. This review article systematically summarizes and analyzes research developments reported between 2015 and 2025, emphasizing the interrelationship among synthesis strategies, structural characteristics, and functional performance. Based on the evaluation of indexed publications, the review highlights significant advancements in the application of GO and rGO across environmental and energy systems. The discussion focuses on the key mechanisms governing pollutant adsorption, ion transport, and charge storage in GO/rGO-based systems. Comparative assessments reveal that moderate reduction, heteroatom doping, and hierarchical architecture design can enhance adsorption capacity and improve long-term electrochemical stability. Furthermore, the review identifies major challenges such as production scalability, environmental safety, and synthesis reproducibility, while providing forward-looking insights into sustainable pathways for material optimization. Overall, this work offers a comprehensive overview of recent progress, design principles, and future research directions toward the rational design of GO/rGO-based materials for next-generation environmental and energy technologies. Keywords: Graphene oxide- Reduced graphene oxide- Adsorption- Energy storage- Catalysis- Sensors- Supercapacitors Share Link | Plain Format | Corresponding Author (Muhammad Said)

16	Environmental Sciences	ABS-5
EFFECT OF SALT ON LIFETIME ON MEMBRANES CONTAINING CO-EDVB 8% FOR PHENOL-BASED SEPARATION SUPPORTED LIQUID MEMBRANE Agung Abadi Kiswandono1*, Anisa Rahmawati1, Rinawati1, Hardoko Insan Qudus1, Suharso1ust Try to Submit This Sample Abstract 1Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Lampung, Jl. Prof. Dr. Ir. Sumantri Brojonegoro, Bandar Lampung City, Lampung 35145, Indonesia Abstract The separation of phenol from wastewater requires a selective and sustainable method. One promising technology is Supported Liquid Membrane (SLM), but its application is often hampered by low stability or lifetime of the membrane due to liquid phase leakage. This stability is a key factor, as it determines the long-term effectiveness of the membrane in the phenol transport process. This study was focused on evaluating the stability of SLM membranes containing 8% copol (eugenol divinyl benzene) (Co EDVB) as a carrier, by examining the effect of the addition of various types of salts in the source phase. The membrane is prepared by immersing polytetrafluoroethylene (PTFE) into an 8% solution of Co EDVB in chloroform. The stability test was carried out by monitoring changes in the pH of the source phase during the phenol transport process, where the membrane was declared to have a leak when the pH reached approximately 9. The results of the study showed that the addition of salt was able to extend the life of the membrane compared to the condition without salt (16 days). Improvements were recorded with NaNO&#8323- (19 days), KNO&#8323- and NaCl (22 days), as well as Na&#8322-SO&#8324- providing the highest stability of up to 25 days. These findings confirm that the presence of salts in the source phase plays an important role in maintaining the stability of SLM for phenol separation. Keywords: Phenol, Co-EDVB, Lifetime, Stability, Supported Liquid Membrane Share Link | Plain Format | Corresponding Author (Agung Kiswandono)

17	Environmental Sciences	ABS-13
ANALYSIS OF GEOGRAPHIC ENVIRONMENTAL RISK FACTORS ON DENGUE INFECTION INCIDENTS IN PALEMBANG CITY Muhammad Prima Cakra Randana(a*), Irfannuddin(b), Nurhayati(b), Chairil Anwar(c) a)Environmental Science Doctoral Student, Postgraduate School, Sriwijaya University *muhpcr6[at]gmail.com b) Environmental Science Doctoral Program, Postgraduate School, Sriwijaya University c)Faculty of Medicine Muhammadiyah Palembang University, Palembang Abstract Introduction: Dengue hemorrhagic fever (DHF) is a disease caused by dengue virus infection characterized by muscle pain, fever, and/or joint pain. More than 50% of the world^s population lives in dengue-endemic areas. These areas account for more than half of the global disease burden. Environmental conditions, climate, geography, socioeconomics, and cultural behavior of people from various places are elements that allow for all thresholds for predicting dengue disease. Geographic environmental factors, such as rainfall, temperature, and humidity, play a crucial role in the transmission of dengue infection. Therefore, this study aims to analyze the geographic environmental risk factors for the incidence of dengue infection in Palembang City. Methods: This study used a quantitative method with a descriptive research design in Palembang City. Rainfall, temperature, and humidity were the independent variables, while dengue infection incidence was the dependent variable. The unit of analysis was dengue infection incidence in Palembang City between 2021 and 2023. Results: In 2021, the highest number of cases was recorded in November and the lowest in July. In 2022, the highest number of cases was recorded in January, while the lowest number was recorded in February. In 2023, the highest number of cases occurred in February and December, while the lowest number of cases was recorded in September. Conclusion: There is no similar pattern between total cases and temperature and humidity in the same month. There is a similar pattern between rainfall and total cases in the following month, known as Lag-1. Keywords: Dengue, Rainfall, Temperature, Humidity, Palembang Share Link | Plain Format | Corresponding Author (Muhammad Prima Cakra Randana)

18	Environmental Sciences	ABS-19
Pollution Assessment and Bioaccumulation of Heavy Metals on Sediment and Leaves of Enhalus acoroides in Pahawang Island Rozirwan1*, Ariqoh Athallah Gusri2, Yoga Winarta2 Wike Ayu Eka Putri1, Melki1, Isnaini1, Redho Yoga Nugroho1, Nadila Nur Khotimah3,4 1Department of Marine Science, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya. Jl. Raya Palembang-Prabumulih Km. 32, Ogan Ilir 30862, South Sumatra, Indonesia 2Program of Environmental Management, Graduate Program, Universitas Sriwijaya. Jl. Padang Selasa No. 524, Palembang 30139, South Sumatra, Indonesia 3Doctoral Program of Environmental Science, Postgraduate Program, Universitas Sriwijaya, Jl. Padang Selasa Bukit Besar, Palembang 30139, Indonesia 4Program Study of Aquatic Resource Management, Faculty of Fisheries, Universitas Islam Ogan Komering Ilir, Kayuagung, Indonesia Abstract Seagrass ecosystems play a significant role as environmental bioindicators by accumulating heavy metals within their tissues. This study aimed to assess the accumulation potential and pollution levels of heavy metals in leaf of Enhalus acoroides and the surrounding sediments. Samples were collected from the leaves of E. acoroides and sediment from two locations, Jeralangan and Cukuh Nyai on Pahawang Island, Lampung, Indonesia. The heavy metals analyzed include Pb, Cu, Ni, and Zn, using the wet destruction method and measured with a Atomic Absorption Spectrophotometer (AAS). The Bioconcentration Factor (BCF) was used to determine the accumulation levels, while the Metal Pollution Index (MPI) was applied to measure pollution levels. The highest heavy metal concentration in the sediment was Zn at Station 1, with a concentration of 15.494 mg/kg, while the highest metal concentration in seagrass leaves was Cu at 7.789 mg/kg. The findings revealed that the BCF was below 1, except for Cu at Station 1, where it exceeded 1, indicating E. acoroides^ potential as both a bioindicator and hyperaccumulator. The MPI values were above 1 in both E. acoroides leaves and sediments at Station 1, suggesting ongoing environmental degradation. Conversely, Station 2 showed MPI values below 1, indicating minimal contamination. While the MPI cannot be used as a definitive indicator due to the absence of specific threshold classifications, it serves as a useful tool for monitoring future environmental pollution and informing environmental management strategies. Keywords: Accumulation, bioindicator, heavy metal, hyperaccumulator, pollution Share Link | Plain Format | Corresponding Author (Rozirwan Rozirwan)

19	Environmental Sciences	ABS-20
ASSOCIATION OF SANITARY LATRINE OWNERSHIP AND CLEAN WATER AVAILABILITY WITH OPEN DEFECATION PRACTICES IN 14 ULU VILLAGE, SEBERANG ULU II DISTRICT, PALEMBANG CITY Tega Indah Suryani (a), Yadi Oktariansyah (b)*, Dwi Septiawati (a), Laura Dwi Pratiwi (a), Yuanita Windusari (a) (a) Department of Environmental Health, Faculty of Public Health, Sriwijaya University, Palembang-Prabumulih Highway km 32, Indralaya, Ogan Ilir, Indonesia (b) Department of Biology, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Palembang-Prabumulih Highway km 32, Indralaya, Ogan Ilir, Indonesia Abstract Open defecation (OD) remains a major sanitation challenge in Indonesia, including in 14 Ulu Village, Palembang City. This practice has negative impacts on public health and the environment, especially in areas lacking proper sanitation facilities and access to clean water. This study aimed to determine the association between ownership of sanitary latrines and the availability of clean water with open defecation practices. A quantitative study with a cross-sectional design was conducted involving 96 respondents selected through simple random sampling. Data were collected through interviews using structured questionnaires and direct observation of latrines. Data analysis was performed using univariate, bivariate (Chi-square test), and multivariate (logistic regression) analyses. The Chi-square test showed significant associations between education (p = 0.006- PR = 2.548- CI: 1.31-4.95), ownership of sanitary latrines (p = 0.001- PR = 14.85- CI: 5.70-38.69), and availability of clean water (p = 0.001- PR = 4.41- CI: 2.11-9.23) with open defecation practices. In contrast, no significant associations were found between age (p = 0.235), occupation (p = 0.627), and the role of health workers (p = 0.972) with open defecation practices. Multivariate logistic regression analysis revealed that ownership of sanitary latrines was the most dominant factor influencing open defecation (p < 0.001- PR = 298.502- CI: 30.457-2925.533). In conclusion, the ownership of sanitary latrines was the most influential factor associated with open defecation in 14 Ulu Village. Strengthening community access to sanitary latrines and clean water facilities is strongly recommended to accelerate the achievement of Open Defecation Free (ODF) targets. Keywords: Clean Water Availability, Open Defecation, Palembang City, Sanitary Latrine Ownership, Sanitation Practices Share Link | Plain Format | Corresponding Author (Yadi Oktariansyah)

20	Marine Science	ABS-3
The effect of single and combined microplastics with heavy metals Cu and Pb on digestive enzymes in Anadara granosa Beta Susanto Barus, Risma Amelia Sriwijaya University Abstract The contaminant most frequently found in aquatic habitats and potentially harms living things is called microplastic (MPs). MPs can interact with other pollutants, such as heavy metals. This study aims to investigate the effects of polystyrene (PS) particle of different sizes (20 and 150 &#956-m) on the digestive enzymes (protease, amylase, and lipase) of Anadara granosa, either alone or in combination with two distinct heavy metals (copper/Cu and lead/Pb). According to this study, clams^ digestive enzyme responses often increased from days 5 to 7, then dropped the next day until the observation^s completion. Higher enzyme activity results from exposure to larger particles than from smaller ones. When heavy metals and MPs particles were exposed together, the peak phase of digestive enzyme activity was significantly higher (p<0.05) than when only particle or heavy metal was present. Hard clams exposed to MPs in combination with Pb increased digestive enzyme activity more than those exposed to MPs in combination with Cu. In addition, when PS particles were combined with Pb metal instead of Cu metal, the activity of digestive enzymes changed more quickly in the exposed clams. Keywords: plastic pollution, trace element, copper, lead, clams Share Link | Plain Format | Corresponding Author (Beta Susanto Barus)

21	Marine Science	ABS-17
Mangrove Growth After Five Years of Restoration on Former Fish Pond Land with Planting and Enrichment Patterns in Berbak-Sembilang National Park Tengku Zia Ulqodry(1*), Rahmad Fadly Azani Siregar(1), Afan Absori(2), Sarno(3), Indah Widiastuti(4), Andi Agussalim(1), Riris Aryawati(1) (1)Department of Marine Science, Universitas Sriwijaya, Indralaya, South Sumatera, Indonesia. (2)Office of Berbak-Sembilang National Park, Palembang, South Sumatera, Indonesia (3)Department of Biology, Universitas Sriwijaya, Indralaya, South Sumatera, Indonesia. (4)Department of Fish Product Technology, Universitas Sriwijaya, Indralaya, South Sumatera, Indonesia. Abstract Berbak-Sembilang National Park is one of the largest mangrove areas on the Banyuasin Coast, South Sumatra. Mangroves in this area have been degraded into fish ponds. This study aims to compare mangrove growth after restoration with new planting patterns and enrichment. Data measured included diameter, total height, and canopy height. Then, the data were analyzed descriptively. The results showed that Rhizophora mucronata had the best species density in the new planting pattern, with an average of 137 individuals/ha. Ceriops decandra had the best species density in the enrichment pattern, with an average of 39 individuals/ha. For growth seen from total height and canopy height, the Ceriops genus grew better in the enrichment location, while the Rhizophora genus grew better in the new planting location. Restoration with the new planting pattern resulted in better growth, while the enrichment planting pattern resulted in higher species diversity. The Rhizophora genus had the best growth with the highest density. This is highly recommended for restoration activities in the Berbak Sembilang National Park area. Keywords: Berbak-Sembilang National Park, Mangrove restoration, Mangrove density and growth, Planting and enrichment pattern, Rhizophora mucronata Share Link | Plain Format | Corresponding Author (Tengku Zia Ulqodry)

22	Mathematics and Applications	ABS-1
Stunting Prediction in South Sumatra Province: Machine Learning Approaches Using SKI 2023 Alfensi Faruk, Dian Cahyawati Sukanda, Endang Sri Kresnawati Department of Mathematics, Universitas Sriwijaya Abstract Stunting is still one of the main health issues in Indonesia, including in South Sumatra Province. To achieve zero hunger by 2030, as outlined in the United Nations Sustainable Development Goal 2, effective strategies are required to reduce the stunting prevalence. This study utilises logistic regression and gradient boosting machines, on individual-level data from the Indonesian Health Survey (SKI 2023) consisting of 2,940 children under five years of age in South Sumatra Province. The prevalence of stunting was 19.3% (weighted). Birth weight, birth length, living conditions, sanitation, and sex are the strongest factors that significantly affected the stunting status in South Sumatra Province. This result was also confirmed by the conducted SHAP analysis. Even though both models show only modest discrimination (AUROC \(\approx\) 0.59), our findings are informative to enhance the strategies of stunting prediction. The results of this work provide a potential baseline for future policy improvement. Keywords: Stunting, South Sumatra, SKI 2023, Logistic regression, Gradient boosting machine Share Link | Plain Format | Corresponding Author (Alfensi Faruk)

23	Mathematics and Applications	ABS-10
Application of Fuzzy Pentagonal Number Matrix with Robust Ranking Defuzzification Method in Disease Diagnosis Yosua Fernando Sitinjak (a), Mashadi (a*) (a) Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Riau, Pekanbaru, Riau, 28293, Indonesia *mashadi[at]lecturer.unri.ac.id Abstract Among the various arithmetic alternatives for pentagonal fuzzy numbers offered by different authors, there is not much difference in the arithmetic for addition, subtraction, and scalar multiplication. However, for multiplication and division, there are many arithmetic alternatives offered by various authors. However, the arithmetic offered for any pentagonal fuzzy number does not necessarily have an inverse. Therefore, this paper will present an arithmetic for pentagonal fuzzy numbers that yields an inverse. On the other hand, the application of pentagonal fuzzy numbers is used separately between the application of fuzzy soft matrix numbers and the application of pentagonal fuzzy number matrices. In this paper, the application of fuzzy soft matrix and pentagonal fuzzy number matrices will be applied directly and simultaneously. By applying this concept, two pentagonal fuzzy number matrices were formed. The relationship between matrices is calculated, and the robust ranking values are used to predict the disease diagnosis. Keywords: Arithmetic, Disease diagnosis, Fuzzy soft matrix, Pentagonal fuzzy number, Robust ranking Share Link | Plain Format | Corresponding Author (Yosua Fernando Sitinjak)

24	Mathematics and Applications	ABS-11
The Double Butterfly Theorem on Hyperbolas M. Teguh (a), Mashadi (a*) (a) Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Riau, Pekanbaru, Riau, 28293, Indonesia *mashadi[at]lecturer.unri.ac.id Abstract The butterfly theorem and the double butterfly theorem are fundamentally applied to circles. Subsequently, several authors have extended these theorems to ellipses and parabolas. As a hyperbola is another type of conic section, the author develops the double butterfly theorem for the hyperbola. In the proof process, the butterfly and double butterfly theorems for circles, ellipses, and parabolas rely on lemma of Haruki, which is applicable only to circles. Therefore, in this paper, the author first develops a version of lemma of Haruki specifically for the hyperbola. Based on this lemma, the proof of the double butterfly theorem for the hyperbola is then established. In other words, the double butterfly theorem can be extended to the hyperbola. Keywords: butterfly theorem, double butterfly theorem, lemma of Haruki, hyperbola Share Link | Plain Format | Corresponding Author (M. Teguh)

25	Mathematics and Applications	ABS-16
Numerical Study of an NPZOC Model: Integrator Performance, Bloom Dynamics, and Stability Transitions Nur Rahma A., Sandhita Aura K., Agus Sutrisno, La Zakaria, Netti Herawati, Dorrah Azis Lampung University Abstract This article introduces the nutrient-phytoplankton-zooplankton-oxygen-carbon (NPZOC) model as an extended formulation of the well-known NPZO (nutrient-phytoplankton-zooplankton-oxygen) system. The inclusion of the carbon component provides a more comprehensive representation of biogeochemical interactions in aquatic ecosystems. To date, the NPZOC model has received limited attention in the literature. In this study, explicit forms of the stationary (equilibrium) points are derived, which have not been presented in previous research. Furthermore, algorithms and numerical simulations of the NPZOC model are developed using the fourth-order Runge-Kutta (RK4) and Yoshida symplectic integrators. Realistic parameter initialization and initial conditions are applied to analyze system stability and explore the dynamic behavior exhibited by the NPZOC model. Keywords: NPZOC model- numerical integrator- qualitative properties, Explicit Runge-Kutta Methods- Symplectic Yoshida integrator Share Link | Plain Format | Corresponding Author (La Zakaria)

26	Mathematics and Applications	ABS-22
Application of Fuzzy Hexagonal Numbers in the Diagnosis of Respiratory Tract Infections, Common Cold, and Pharyngitis Callista Monalisa(a), Mashadi(b*) a)Department of mathematics, University of Riau, Jalan HR. Soebrantas KM. 12,5, Pekanbaru 28293, Indonesia b)Department of mathematics, University of Riau, Jalan HR. Soebrantas KM. 12,5, Pekanbaru 28293, Indonesia *mashadi.mat[at]gmail.com Abstract Hexagonal fuzzy numbers extend the concept of pentagonal fuzzy numbers by introducing a six-parameter structure that provides a more flexible representation of uncertainty. Although several algebraic models for hexagonal fuzzy numbers have been proposed, there is still no unique inverse defined for all cases. This paper presents an alternative algebraic approach for handling hexagonal fuzzy numbers and demonstrates its practical application in medical diagnosis. Specifically, the study integrates hexagonal fuzzy numbers within fuzzy soft set matrices to diagnose respiratory tract infections (ISPA), the common cold, and pharyngitis. The research process involves converting interview and observation data into numerical values ranging from 0 to 10, which are then transformed into hexagonal fuzzy numbers. These are represented in a hexagonal fuzzy soft set (HxFSS) and further modeled as a hexagonal fuzzy soft matrix (HxFSM). The resulting framework provides more accurate and reliable diagnostic evaluations under uncertainty. Keywords: fuzzy soft matrices, hexagonal fuzzy soft matrices, medical diagnoses Share Link | Plain Format | Corresponding Author (Callista Monalisa)

27	Mathematics and Applications	ABS-27
Application of Procrustes Analysis in the Comparison of Two Data Matrices of Green Cherry Fruit Production of Pagaralam Robusta Coffee Irmeilyana (a), Bambang Suprihatin (a*), Sri Indra Maiyanti (a), Dita Irfanul Khasanah (a), Ngudiantoro (a), Anita Desiani (a) a) Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Sriwijaya Jl. Raya Palembang-Prabumulih Km. 32, Indralaya, South Sumatra Province, Indonesia *bambangs[at]unsri.ac.id Abstract One factor that influences the productivity of Robusta coffee trees is the characteristics of tree branches. The purpose of this study was to compare the production of green cherries in terms of the characteristics of tree branches in two fields with different maintenance management in Pagar Alam, South Sumatra. The data matrix entries of each field are the values of 7 variables in 30 coffee tree samples. These variables consist of the total number of coffee cherries, the number of branch categories, and the number of cherries on each branch. Each data matrix was represented graphically by biplot analysis. The biplot results of each data matrix were compared using Procrustes analysis. The similarity comparison between the two data matrices included a translation process of 1.449, a rotation process of 0.191, and a dilation process of 0.180, resulting in a similarity measure of 83.7%. This indicates a similarity between the two biplots. Keywords: Biplot Analysis- Pagaralam- Point Configuration- Procrustes Analysis- Robusta Coffee Share Link | Plain Format | Corresponding Author (Irmeilyana Irmeilyana)

28	Mathematics and Applications	ABS-28
Analysis of Changes in Weather Elements Clustering in Pagaralam in 2023 and 2024 Using K-Means and Average Linkage Clustering Methods Sri Indra Maiyanti (a), Irmeilyana (a*), Putri Nilam Cayo (a), Ngudiantoro (a) a) Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Sriwijaya Jl. Raya Palembang-Prabumulih Km. 32, Indralaya, South Sumatra Province, Indonesia *irmeilyana[at]unsri.ac.id Abstract Climate is a combination of weather elements over a long period of time. Global climate change can impact the productivity of agricultural crops, including coffee plantations in Pagaralam, Indonesia. The purpose of this study is to cluster the time of occurrence based on weather elements data in Pagaralam in 2023 and 2024 using K-means and average linkage clustering methods. The data matrix consists of 53 weeks and 15 weather element variables. Based on the biplot and Silhouette Index results of both data matrices, the K values used were 3 and 4. The K-means clustering results on the 2024 data matrix indicate that a cluster of the majority of weeks is characterized by higher minimum temperature, dew point, humidity, precipitation cover, and cloud cover. Meanwhile, in the 2023 data matrix, a cluster of the majority of weeks is characterized by high levels of dew, humidity, and cloud cover. The average linkage clustering results are also similar to the K-means clustering results. Keywords: Average linkage- cluster- K-means clustering- Pagaralam- weather elements Share Link | Plain Format | Corresponding Author (Irmeilyana Irmeilyana)

29	Mathematics and Applications	ABS-59
Combination of Synonym Replacement Data Augmentation and Transformer Architecture with Swish Activation for Sentiment Classification in E-Commerce Product Review Data Arjun Elvas Janggiara Sriwijaya University Abstract In the digital era, e-commerce platforms are a primary source for consumer product reviews, which contain valuable sentiment reflecting customer satisfaction. Sentiment analysis is crucial for extracting these opinions to provide strategic insights for businesses. However, this task faces challenges, including limited labeled data and linguistic diversity. Data augmentation, particularly techniques like synonym replacement, has emerged as an effective solution to enrich training data without manual relabeling. Concurrently, Transformer architectures like BERT have revolutionized Natural Language Processing (NLP) due to their superior ability to capture deep, bidirectional contextual meaning, though they often demand high computational resources. This research aims to develop a sentiment analysis model for e-commerce product reviews by combining synonym replacement data augmentation with a Transformer architecture that utilizes the Swish activation function. The study seeks to investigate the impact of synonym replacement on training data variety and model performance, evaluate the effectiveness of the Swish activation function in improving classification accuracy compared to standard functions, and determine the extent to which this combined approach can produce a more accurate and efficient sentiment analysis model. The research is confined to publicly available e-commerce reviews in Indonesian or English, focusing solely on synonym replacement for augmentation and a customized Transformer with Swish activation. Performance will be evaluated using standard classification metrics. The findings are expected to contribute academically to the development of more efficient NLP models and offer a practical, resource-conscious solution for businesses to automatically and accurately understand customer sentiment. Keywords: Share Link | Plain Format | Corresponding Author (Arjun Janggiara)

30	Mathematics and Applications	ABS-64
Please Just Try to SubmLife Insurance Premium Calculation Using the Actuarial Single Life Table Method (TMI 2019)it This Sample Abstract Adinda Elsa Putri Sriwijaya University Abstract This study examines the calculation of individual life insurance premiums using the actuarial Single Life Table approach under the equivalence principle. Focusing on Indonesia^s mortality basis (TMI 2019), we model annual premiums as the present value balance between benefits and premiums, incorporating age- and sex-specific mortality, a deterministic interest rate, and standard mortality laws. Prior evidence shows that male mortality rates and higher ages raise premiums, while higher discount rates lower them. Building on this, we (i) formalize the premium formula for level annual premiums, (ii) assess the sensitivity of premiums to key inputs-age, sex, interest rate, and mortality assumptions-and (iii) present an illustrative Indonesian case to demonstrate practical pricing implications. The results highlight that age and sex are primary drivers, interest-rate assumptions materially affect affordability, and the chosen mortality law (within the TMI 2019 framework) influences prudence levels. The framework offers an auditable, transparent basis for fair pricing and can guide product design and risk-based differentiation in the Indonesian life market. Keywords: life insurance, Single Life Table, TMI 2019, equivalence principle, premium pricing Share Link | Plain Format | Corresponding Author (Adinda Elsa Putri)

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