Jurnal Natural
Not a member yet
304 research outputs found
Sort by
Isolation and characterization of polyhydroxyalkanoate (PHA) producing bacteria isolate from landfill land of Kampung Jawa Banda Aceh
Get PDFThe production of biodegradable plastic from microorganisms has great potential as a substitute for conventional plastic. This study aims to isolate bacterial strains capable of polyhydroxyalkanoates (PHAs) production from the Kampung Jawa landfill land (KJLL) and characterize biopolymers. The bacterial strains were able to produce PHA using a mineral salt medium (MSM) with glucose as a carbon source. The qualitative screening of PHA-producing bacteria was conducted by Sudan Black and Nile Red. Of the 64 bacteria strains, only 41 were able to accumulate PHA in Sudan Black and Nile Red. The results showed that one bacteria the Coccobacillus strain had the highest color intensity for further characterization of PHA. The characterization of PHA by Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA) showed a melting temperature (Tm) of 101.54C. X-ray diffraction (XRD) analysis revealed a crystalline structure with an index crystallinity (ICr) value of 15.82% for PHA. The results of the analysis proved that PHA was produced by bacteria isolate. This study suggests that this is the first report of the bacteria from the Kampung Jawa landfill producing PHA with good characteristics and potential biotechnology applications
Classification of household poverty in West Java using the generalized mixed-effects trees model
Get PDFDealing with fixed effects and random effects can be accomplished by combining statistical modeling and machine learning techniques. This paper discusses the modeling of fixed effects and random effects using a statistical machine-learning approach. We used the generalized mixed-effects trees (GMET), a tree-based mixed-effect model for dealing with response variables that belong to the exponential family of distributions. In this study, both simulation and actual/empirical data utilized the GMET method to discover data conditions that were appropriate for employing this approach. The simulation data was generated using different response variable generations, as well as different values of the variance of random effect and fixed effect coefficients. The findings indicated that the GMET performs similarly for different response variable generation scenarios. However, it performed better when the fixed effect value and the variance of random effects were large. When applied to the empirical data, the GMET method describes fixed effects and random effects and classifies household poverty status quite well based on the area under curve (AUC) value. It has also revealed that important variables for poverty classification are the number of household members, owning land, the type of main fuel used for cooking, and the main source of water used for drinking. In order to address the socioeconomic disparity that leads to poverty, the government may become concerned about these factors. In addition to that information, the use of regional typology as a random effect in the model has also contributed to the variation of household poverty status. Based on research, the fixed effects in mixed models do not need to be linear and GMET may be employed in grouped data structures, giving the GMET technique the ability to compete with other approaches/methods
Application of SHAP on CatBoost classification for identification of variabels characterizing food insecurity occurrences in Aceh Province households
Get PDFClassification is the process of building a model that can distinguish between different classes of data. The model aims to predict the class of testing data based on patterns or relationships learned from training data. One of the data processing algorithms used to build classification models is Categorical Boosting (CatBoost). However, in general, the resulting models are difficult to interpret. To facilitate the interpretation of complex classification models, methods such as SHAP (SHapley Additive exPlanations) are needed. SHAP is a method to explain individual predictions. SHAP is based on the game theoretically optimal shapley values. In this study, an analysis of important SHAP variables was conducted on the CatBoost classification model to identify variables characterizing occurrences of food insecurity in households. The data used in this study was obtained from the Survei Sosial Ekonomi Nasional (Susenas) in March 2021 in Aceh Province, sourced from the Badan Pusat Statistik (BPS). There are 13,126 observations in the research data. The results from four evaluated classification models on the testing data showed that the best model had accuracy, sensitivity, specificity, and AUC values of 0.703, 0.349, 0.798, and 0.637, respectively. Furthermore, the results of the analysis of important SHAP variables showed that the variables number of household members who smoke ( ), education of the household head ( ), wall types ( ), drinking water source ( ), and decent sanitation ( ) significantly contributed to the occurrences of food insecurity in households in Aceh Province in the year 2021
Isolation of active compound as anti acne from ethanol extract Artocarpus camansi leaves
Get PDFAcne vulgaris or acne is a chronic inflammatory skin disease in adolescents and adults affecting one self-confidence. The result of the research shows the ethanol extract, subfraction, pure isolate, and gel extract of Artocarpus camansi are active in inhibiting the growth of Propionibacterium acnes. The ethanol extract with the highest inhibition zone was at the concentration of 0.5 and 2% with 9.10.62 mm and 8.50.7 mm with the activity of 47.07% and 43% respectively (in comparison with the chloramphenicol 30 g 19.330.47mm). The gel extract had the highest activity at 2%, with an inhibition zone of 80.50 mm and the activity of 43.97%. Anti-acne activity for all subfractions had an activity of 32.5-33.3% while the pure isolate was at 42.10 - 45.63%. Physical properties of the gel extract were evaluated for four weeks by examining the pH test obtained with a range of 5.8-6.7, viscosity in the range of 18460-19668 cP, spreadability in the range of 5.45-7.20 cm, adhesion observation above 4 seconds, and homogeneity in a concentration of 0.5-7.5%. The pure isolate has a melting point of 147 , presumed to be -sitosterol and appropriate with the screening phytochemicals results with the presence of steroid
Aquifer layer in Muara Batu and Dewantara Sub-district based on resistivity cross-sectional model
Get PDFThis study aims to determine the depth of the aquifer layer in the Muara Batu and Dewantara sub-district as a source of groundwater that can be used continuously. The identification of this aquifer layer is based on the results of the resistivity values of subsurface rocks measured using the electrical resistivity method of the Schlumberger array. Data acquisition was carried out on 3 lines (MB1, MB3, and MB4) with a length of 330 m each. The variations in the resistivity values of the rocks obtained were modeled in the form of a 2D cross-section using the Res2DInv software, thus providing an overview of the subsurface for groundwater exploitation. The cross-sectional model obtained shows that the shallow aquifer layer is at a depth of 20-52 m (2-12 m) on the MB1 and a depth of 60 m on MB3 and MB4. The low resistivity value 12 m on the MB1 indicates that the subsurface is generally composed of water-saturated rock layers
The effect of ripeness level, storage and heating conditions on vitamin C in Fig (Ficus carica L.) fruit juice using bivoltammetry sensor
Get PDFVitamin C, as a crucial nutrient, plays a vital role in human health and is known to be sensitive to various factors such as ripeness level, storage and heating conditions. This study aimed to determine the effect of ripeness level, storage and heating conditions on vitamin C in fig (Ficus carica L.) fruit juice using bivolmetric sensor. Fig (Ficus carica L.) fruit juice samples with different ripeness level were collected and analyzed the vitamin C. Full-ripe fig (Ficus carica L.) fruit juice samples subjected at different storage (cold, cool, and room temperature) and heating (30 C, 60 C, and 90 C) conditions. The vitamin C level was monitored using a bivoltammetry sensor. The results showed that the higher ripeness level of fig (Ficus carica L.) fruit the lower level of the vitamin C. The results also showed that the higher storage and heating conditions generally accelerate with degradation of vitamin C. Degradation of vitamin C content in fig (Ficus carica L.) fruit juice with all different storage temperature had the best kinetic model fit zero order. Meanwhile, heating temperature at 30 C and 60 C showed that the best kinetic model fit first order. But, heating temperature at 90 C showed that the best kinetic model fit second order. The kinetic modeling analysis showed that storage and heating conditions significantly influenced the degradation kinetics of vitamin C in the fig (Ficus carica L.) fruit juice
The potential of the metabolites active from Moringa leaves (Moringa oleifera, Lam) on sensitivity of doxorubicin towards breast cancer: in silico studies
Get PDFBreast cancer is one type of cancer with the highest incidence suffered by women. Doxorubicin is a chemotherapy that is often used as the main chemotherapy and combination chemotherapy, but the use of doxorubicin is often complained of side effects that cause auto resistance. Combination with chemopreventives from natural ingredients has become an option to increase therapeutic response and to minimize side effects and resistance to chemotherapy use. This study aims to screen several active compounds of the phenolic-flavonoid group contained in Moringa leaves (Moringa oleifera, Lam) against NF receptors in silico using a molecular docking technique. The material in the form of Canonical smiles data is quercetin, quercetin-3 glycoside (Q3G), rutin, kaempferol, myricetin, isorhamnetin, deoxyelephantopin and doxorubicin which were downloaded from www.pubchem.org and converted to 3D structures using MOE software. While the 3D structure of the receptor (1VKX) was downloaded from www.rscb.org. The results of the docking of the active compounds contained in Moringa leaves (Moringa oleifera, Lam) showed a fairly strong affinity by releasing energy when forming a ligand-receptor complex. Quercetin 3-glycoside has the best potential as an NF inhibitor with an affinity of -14.23 kcal/mol. Quercetin 3-glycoside also has a good pharmacokinetic profile with low toxicity. While the phenolic-flavonoid compounds contained in other Moringa leaves are only able to reduce the affinity of doxorubicin for the NF receptor by changing the "site binding" conformation of the receptor. In conclusion, quercetin 3-glycoside deserves to be a drug candidate or a companion to the chemotherapy of doxorubicin
Performance of copula and nested error regression models in estimating per capita expenditure of sub-district in Pidie Regency
Get PDFIn unit-level small area estimation (SAE), the commonly used nested error regression (NER) model assumes normality which is not always the case. To handle non-normal data, researchers in statistics have developed a novel approach using exchangeable and extendible copula called the multivariate exchangeable copula (MEC) model. This study compares the performance of parametric MEC and NER models in estimating the sub-district average of per capita expenditure (PCE) in Pidie Regency, Aceh Province. This study presents PCE, which has a skewed distribution of the three-parameter skew-normal. The parametric MEC model uses a Gaussian copula from the Elliptical family and an empirical best unbiased prediction (EBUP) estimator. Meanwhile, the NER model uses an empirical best linear unbiased prediction (EBLUP) estimator. The results reveal that at a 95% confidence level, the parametric MEC model outperforms the NER model with a smaller root of mean squared error (RMSE) and provides a more precise estimate of the sub-district average of PCE. This study highlights the importance of considering the parametric MEC model as an alternative method for skewed data in unit-level SAE. The results of this study have the potential to support the achievement of Goal 1 (to end poverty) and Goal 10 (to reduce inequality) of the sustainable development goals (SDGs) by providing average PCE estimates at the sub-district level
The effect of brewing time herbal tea from mother-in-laws tongue leaves (Sansevieria trifasciata Prain) on total phenol, total flavonoid, and antioxidant activity
Get PDFIndonesia is a tropical country known for its biodiversity, one of which is the mother-in-laws tongue (Sansevieria trifasciata Prain). Mother-in-laws tongue leaves extract contains bioactive compounds, such as triterpenoids, steroids, and flavonoids and tradionally used especially as antidiabetics. The phenolic and flavonoid compounds in mother-in-laws tongue are potential antioxidants, and usually processed into herbal tea. This research aimed to determine the effect of duration brewing time herbal tea from mother-in-laws tongue leaves (Sansevieria trifasciata Prain) on total phenol, total flavonoid, and antioxidant activity. This study using Completely Randomized Designed (CRD) with 5 treatments (different brewing time that were 1, 3, 6, 9, 12 minutes) and 3 replications. The result showed that brewing time had a significant effect on total phenol, total flavonoid, and antioxidant activity. The optimum of brewing time herbal tea from mother-in-laws tongue leaves is 6 minutes
Influence of monomer concentration on the morphology, contact angle, water uptake, and antibacterial activity of grafted cellulose obtained from peel durian
Get PDFThe objective of the current study is to evaluate and determine the effect of monomer concentration of ClAETA on the grafting copolymerization of oxidized cellulose which isolated from peel durian. Four concentrations of ClAETA were used in this study, e.g., 40, 50, 60, and 70%. Several analyses were performed to determine the material characteristic, e.g., degree of grafting, FT-IR, surface morphology, contact angle, degree of swelling, and antibacterial activity. The result showed, monomer concetration plays a significant role to the physical and surface morphology of DAC-ClAETA. The degree of grafting of ClAETA was found in the range of 15-31%, and at the concentration of 50% the grafted oxidized cellulose has 30.4% of degree of grafting. SEM images showed the pore volume has linear correlation to the monomer concetration, it increased the surface roughness. Also, the contact angle confirmed the hydrophilicity and degree of swelling of grafted oxidized cellulose was increase that linear to ClAETA concentration. DAC-g- ClAETA was found antibacterial active against S. aureus, S. epidermis, and C. albicans than DAC