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Quantitative Structure-Activity Relationship Study of Ester-Based Ferulic Acid Derivatives Against Cervical Cancer Cell (HELA) Helda Wika Amini; Istiqomah Rahmawati; Rizki Fitria Darmayanti; Boy Arief Fachri
JOBC Vol. 1 No. 1 (2020): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

Quantitative structure-activity relationship (QSAR) has been studied for ferulic acid derivatives to determine the QSAR model able to predict anticancers. The subject of this research was a set of experimentally calculated IC50 value data of 6 ferulic acid derivatives against cervical cancer cells (HELA). QSAR analysis was based on multilinear regression calculation on fitting subset using log (1/IC50) as the dependent variable, and dipole moment, partition coefficient in the n-octanol/water, and atomic net charges of the aromatic carbons as independent variables. The values of the descriptors were obtained from semi-empirical PM3 quantum mechanics calculation. The relationship between log (1/IC50) and the descriptors was described by the result in the QSAR model. The QSAR model for ferulic acid derivatives against HELA cell lines was developed with the statistical parameters of R=0.998; R2=0.999; SE=0.00857;  and F=394. The calculated log (1/IC50) using the QSAR Hansch Model for ferulic acid derivatives has excellent agreement with the experimental data of Log (1/IC50).
Extraction Method of Ultrasound-Assisted Extraction (UAE) of Robusta Coffee Skin Waste using 96% Ethanol Solution in Tanah Wulan Village, Maesan District, Bondowoso Regency Miftakhul Ulum; Fitriah Novita Sari; Helda Wika Amini; Hanggara Sudrajat
JOBC Vol. 2 No. 2 (2022): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

Argopuro Mountains, Tanah Wulan Village, Maesan District, Bondowoso Regency, East Java, Indonesia, is one of the Robusta coffee-producing areas. Robusta coffee beans that are processed can produce quite a lot of by-products in the form of underutilized waste. It is known that coffee skin waste still has a lot of remaining content, and it is possible to take these bioactive compounds using extraction methods. Bioactive compounds in natural materials can be extracted. Extraction is the process of separating substances in a sample based on different solubilities. The extraction method used is the ultrasonication method (nonconventional). Extraction of the ultrasonication method only requires a relatively shorter time with the help of an ultrasonicator. There is a lot of content in the coffee skin waste powder that needs further testing. The results of this study are expected to provide economic value to robusta coffee husk waste.
Extraction of Phenolic Active Compounds from Coffee Leaves (Coffea sp.) Using the Ultrasound-Assisted Extraction Method and Total Phenol Analysis Nur Aini Dwi Alfinaini; Boy Arief Fachri; Pratamai Shelli; Helda Wika Amini; Istiqomah Rahmawati
JOBC Vol. 3 No. 1 (2023): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

Coffea sp. is one of the largest plantation commodities in Indonesia, especially coffee leaves containing phenolic compounds. This research was conducted to extract phenolic compounds using the Ultrasound-Assisted Extraction method with ethanol solvent, which aims to determine the optimum operating conditions of extraction and the influence of variations in amplitude, time, and ratio of solvents used. The experimental design used Design Expert 13 software with the response surface method box-Behnken design. The research variables used were amplitude variations (50%, 60%, and 70%), time (10, 20, and 30 minutes), and solvent ratios (0.1, 0.15, and 0.2 g/mL). Based on our study, these parameters affect the total phenolic content. The model equation for the total phenolic content of coffee leaves obtained is Y = 0.1349 – 0.0016 A – 0.0505 B + 0.0010 C + 0.0018 AB + 0.0043 AC – 0.0018 BC – 0.0004 A2 + 0.0178 B2 – 0.0014 C2 (R2 = 0.9758) with the optimum total phenolic content located in the 17th running of 0.209 mg GAE/g under conditions of 20 minutes, the ratio of material to solvent is 0.2 g/mL, and an amplitude of 50%.
Influence of Chlorella vulgaris Microalgae on the Performance of Membrane Bioreactors for Industrial Wastewater Treatment Raygita May Hastuti; Hanan; Zuhriah Mumtazah; Helda Wika Amini; Meta Fitri Rizkiana
JOBC Vol. 3 No. 2 (2023): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

This research evaluated the Effect of Hydraulic Residence Time and Organic Loading Rate in a Microalgal Membrane Bioreactor for Wastewater Treatment. One method of treating industrial wastewater combines an anoxic procedure with a Moving Bed Biofilm Reactor (MBBR). In this study, process engineering is combined with microalgae to boost dissolved oxygen levels and counteract the rise in sludge. This study combines process engineering with microalgae to mitigate growing sludge and enhance wastewater quality as measured by dissolved oxygen levels. MLSS 1000 mg/L, Chlorella vulgaris microalgae 106 L, and 1.75 kg of urea and TSP were the microalgae concentrations utilized. The quality of industrial wastewater is positively impacted by adding microalgae in the MBBR process. The quality of industrial wastewater is positively affected by adding microalgae in the MBBR process. Adding microalgae caused the dissolved oxygen level to rise over the minimal threshold. Additionally, when wastewater is being treated, microalgae might lessen the chance of increasing sludge in the MBBR.
Kinetics of Extraction of Arabica Coffee Bean (Coffea arabica) Lailatul Fatma; Nabilah Lu’aili Fauziah; Boy Arief Fachri; Zuhriah Mumtazah; Helda Wika Amini
JOBC Vol. 4 No. 2 (2024): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

Coffee beans are the seeds of the coffee plant and a source of coffee beverages. Arabica coffee beans contain oil, which has many benefits. Extracting oil (solute) from coffee can be done through solvent extraction (leaching). The coffee bean oil extraction process uses n-hexane as a solvent because it can dissolve compounds with the same properties. This research aimed to study the extraction of essential oil from Arabica coffee beans and determine the kinetic model of extraction of essential oil from Arabica coffee beans by leaching. The process of separating coffee oil and solvent using thermogravimetric analysis with a temperature of 80 ℃ until the sample mass is constant. The variables used were temperature and time. The extraction time is 2 hours, with retrieval time every 10 minutes. The temperature used is 30, 40, and 50 ℃ with a ratio of material and solvent 1:10. The results showed that the kinetics of arabica coffee extraction followed the second-order extraction kinetics model. The second-order kinetic parameter values of arabica coffee essential oil extraction, namely extraction capacity (Cs) at 30, 40, and 50 ℃ were 5.45836, 5.46, and 5.46001 g L-1, respectively, the rate of the initial extraction (h) was 0.00762718, 0,00756716, and 0,0104452 gL-1minute-1, the extraction rate constant (k) was 0.000256, 0.000254, and 0.00035 g-1L-1minute-1, and determination values (R square) of 0.9965, 0.9967 and 0.9983.
Extraction of Bioactive Compounds from Coffee Husk with Acetone Using Microwave Assisted Extraction Method and Analysis of Phenolic Compounds Theressa Julieta Putri Andina; Helda Wika Amini; Ansori Ansori; Yukti Nurani; Ratri Sekaringgalih; Sonya Hakim Raharjo; Merymistika Yufrani Afred
JOBC Vol. 4 No. 2 (2024): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

. Nowadays, coffee husks are limited to animal feed and fertilizer. Therefore, a study used Robusta coffee husk waste as a raw material. The purpose of this study was to determine the effect of several variables and to determine the optimum conditions in the process of extracting bioactive compounds from coffee husk waste. The coffee husk contains bioactive compounds, including anthocyanins and polyphenol compounds, such as flavonols, flavan-3-ols, hydroxycinnamic acids, and caffeine. Coffee husk waste will be extracted using the Microwave-Assisted Extraction (MAE) method with acetone solvent, with several variables: the ratio of material to solvent, microwave power, and extraction time. Analysis of the identification of phenolic compound content was then also carried out using UV-Vis spectrophotometry. The variables of material ratio, extraction time, and microwave power were proven to be interrelated so that they could produce total phenol at optimum conditions. The optimum conditions for extracting bioactive compounds from coffee husk waste were obtained at a material ratio of 0.04 g/mL, 9 minutes, and power of 300 watts, with a total phenol yield of 8.65 GAE/g sample.
Kinetic Extraction of Moringa oleifera Leaves using the Microwave Assisted-Extraction (MAE) Method Ghina Shofiah Adibah Khoirunnisa; Reinaldi Rizky Pratama; Ditta Kharisma Yolanda Putri; Helda Wika Amini; Boy Arief Fachri
JOBC Vol. 4 No. 2 (2024): Journal of Biobased Chemicals
Publisher : University of Jember

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Abstract

Moringa oleifera leaves are known for their distinctive leaf shape and offer numerous health and nutritional benefits.They are rich in vitamins, minerals, proteins, and bioactive compounds and possess antioxidant and anti-inflammatoryproperties. This study aimed to explore the extraction process, identify the presence of tannin compounds in Moringa leaves, and determine the appropriate kinetic model for the extraction of Moringa leaf extract using the Microwave-Assisted Extraction (MAE) method. The extraction was performed using 96% ethanol as the solvent and the MAEtechnique, which is known to enhance extraction efficiency. Variables such as power (150 watts), a material-to-solventratio of 1:15 (b/v), and extraction times of 2, 4, 6, 8, and 10 minutes were tested. The results indicated that the highest yield was achieved after 10 minutes, with a value of 10.25%. The extraction time was extended at most 10 minutesdue to time limitations and diminishing returns as extraction time increased. The study concluded that the second-orderkinetic model (R² = 0.9897) was the most suitable for describing the extraction of tannin compounds from Moringa leaves,outperforming the first-order model with a value closer to 1.
IMPLEMENTASI TEKNOLOGI TEPAT GUNA BIOMACERATOR DALAM PENGOLAHAN BIOPESTISIDA LIMBAH TEMBAKAU DI DESA JATIAN, JEMBER Naylatul Qiromi; Putri Safitri; Khoirun Nisya' Ulfiani; Firyaal Ulayya Al-Daan; Jodi Armansyah; Helda Wika Amini; Yukti Nurani; Ansori; Sonya Hakim Raharjo; Merymistika Yufrani Afred; Ratri Sekaringgalih; Nurul Hidayati
Jurnal Edukasi Pengabdian Masyarakat Vol 5 No 2 (2026): APRIL 2026
Publisher : FIP UNIRA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36636/eduabdimas.v5i2.9166

Abstract

Jatian Village, Pakusari District, Jember Regency, has ±204,80 hectares of tobacco farmland, around 6.000 plants, and average production of 9,93 quintals of dried tobacco each season. About 18% of biomass becomes waste as inferior leaves and stems that remain unused and may pollute the environment. Yet tobacco waste contains active compounds such as nicotine, alkaloids, and flavonoids that can be used as raw materials for biopesticides. This program examined converting tobacco waste into biopesticide through maceration assisted by a biomacerator. The waste was chopped and dried, then macerated for 48 hours at a 3:7 material-to-solvent ratio using water-ethanol mixtures in two variations (9:1 and 9:2) to compare extraction effectiveness. Effectiveness tests showed that the 20% ethanol formulation accelerated mortality of armyworms within 3 minutes and grasshoppers within 45 minutes, whereas the 10% ethanol formulation required 10 minutes and 1 hour 20 minutes, respectively. The activity increased community understanding from 15% to 85%, enabled 85% of participants to operate the biomacerator independently, and achieved 95% satisfaction, indicating a sustainable solution that strengthens self-reliance in agricultural waste management.
Process Optimization for Bioplastic Synthesis from Ulva Lactuca with the Addition of Citric Acid and Boric Acid as Crosslinkers Yukti Nurani; Hilda Huril Ainia; Alfun Ni’matil Husna; Sonya Hakim Raharjo; Merymistika Yufrani Afred; Ansori Ansori; Ratri Sekaringgalih; Helda Wika Amini; Ditta Kharisma Yolanda Putri; Meta Fitri Rizkiana; Boy Arief Fachri; Zuhriah Mumtazah; Istiqomah Rahmawati; Bekti Palupi; Felix Arie Setiawan
BERKALA SAINSTEK Vol. 14 No. 2 (2026)
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v14i2.60021

Abstract

The development of renewable biomass-based bioplastics is one solution to reduce environmental pollution caused by the use of conventional petroleum-based plastics. One potential source of biomass is Ulva lactuca, which contains ulvan polysaccharides that can be used as a material for forming biodegradable bioplastic films. This study aims to determine the optimum conditions for the synthesis of ulvan-based bioplastics using the Response Surface Methodology (RSM). Bioplastics were synthesized using the solution casting method with ulvan filtrate as the main matrix and polyvinyl alcohol (PVA) as the supporting polymer, with glycerol and sorbitol as plasticizers and citric acid and boric acid as cross-linkers. Optimization was performed using a Box–Behnken design with 17 experiments, with independent variables of boric acid mass (0.025 - 0.075 g), mixing temperature (65 - 75 ˚C), and mixing time (15 - 25 minutes). The optimization results showed that optimal conditions at a mixing temperature of 70 °C, boric acid mass of 0.05 g, and mixing time of 20 minutes, with point prediction of 4.1476 MPa in tensile strength, thickness of 0.088 mm, and desirability value of 1. The statistical model for tensile strength demonstrated an R2 value of 0.9468, an adjusted-R2 of 0.8785, and a lack-of-fit value of 0.3024. Meanwhile, the thickness model exhibited an R2 value of 0.9792, an adjusted-R2 of 0.9524, and a lack-of-fit value of 0.7510.
Optimization of Ulva sp. Decomposition using H2SO4 with Microwave-Assisted Hydrolysis Method as Feedstock of Bioethanol Bekti Palupi; Muhammad Rizalluddin; Kiki Septianti; Istiqomah Rahmawati; Boy Arief Fachri; Meta Fitri Rizkiana; Helda Wika Amini
CHEESA: Chemical Engineering Research Articles Vol. 6 No. 1 (2023)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/cheesa.v6i1.14682.13-25

Abstract

Bioethanol is a renewable energy used to reduce dependence on fossil fuels, which have negative impacts on the environment. Furthermore, Ulva sp. contains high levels of carbohydrates, making it potentially suitable as a raw material for bioethanol production. Therefore, this study aims to determine the optimal decomposition process using the microwave-assisted hydrolysis method with an acid solvent (H2SO4), by examining the effects of acid concentration, hydrolysis time, and microwave power. Optimization was carried out using several parameters such as hydrolysis time, microwave power, and the ratio of raw materials to solvents. The ANOVA test results showed that the hydrolysis variable parameter had a significant effect on the reducing sugar content obtained, evidenced by the R2 value of 0.9892. The highest reducing sugar content of 19.71 mg/mL was produced under the operating conditions of 15 min hydrolysis time, 450 W microwave power, and 0.065 g/mL ratio of raw material to solvents.
Co-Authors Afred, Merymistika Yufrani Alfinaini, Nur Aini Dwi Alfinaini Alfun Ni’matil Husna Ansori ansori ansori Ansori Ansori Ari Susanti Bekti Palupi Bimo Bayu Aji Boy Arief Fachri Boy Fachri Chintha Ananda Fidia Ningrum Dini Rahmawaty Ditta Kharisma Yolanda Putri Dyah Ayu Savitri Endar Hidayat Fakhri Arkaan Humaidi Faqih, Hana Felix Arie Setiawan Firyaal Ulayya Al-Daan Fitriah Novita Sari Ghina Shofiah Adibah Khoirunnisa Gregah Pangayoman Hartanto P Hanan Hanggara Sudrajat Hanggara Sudrajat Hilda Huril Ainia Istiqomah Rahmawati Istiqomah Rahmawati Jodi Armansyah Julieta, Theressa Khoirun Nisya' Ulfiani Kholifatur Risma Kiki Septianti Lailatul Fatma Lilis Nurhasanah Melati Dwi Pramudita Merymistika Yufrani Afred Meta Fitri Rizkiana MIFTAKHUL ULUM Mizanurafi’ Ghifarhadi Prasiefa Muhammad Reza Muhammad Rizalluddin Muhammad Rizky Kurniawan Muharja, Maktum Nabilah Lu’aili Fauziah Nanda Ayudiyah Andriani Naylatul Qiromi Nida Ayu Salsabila Nihayah, Husnatun Nikita Meidi Nur Aini Dwi Alfinaini Nurtsulutsiyah Nurtsulutsiyah Nurul Hidayati Nurul Ulya Luthfiyana Pratamai Shelli Puji Newi Diati Putri Safitri Rahmawati, Atiqa Ratri Sekaringgalih Ratri Sekaringgalih Raygita May Hastuti Reinaldi Rizky Pratama Rekfa Wika Amini Rizki Fitria Darmayanti Rizki Fitria Darmayanti Rizky Pratama, Reinaldi Safira Dian Permata Sonya Hakim Raharjo Sonya Hakim Raharjo Susilowati Syarifah, Ratna Dewi Theressa Julieta Putri Andina Wiwik Pratiwi Yakub Hendrikson Manurung Yukti Nurani Zuhriah Mumtazah