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Preferences of fruit-feeding butterfly on bait trap in Soraya Research Station, Leuser Ecosystem, Aceh, Indonesia
Get PDFButterflies are insects that live cosmopolitan. Some butterflies in tropical forests look for food sources from sucking the juice of ripe fruits that have fallen on the forest floor. Fruit-feeding butterflies can adapt in finding food sources, selecting and sucking food effectively. Fruit contains varying concentrations of sugar and nitrogen. The existence of fruit-feeding butterflies in tropical rain forests is influenced by the availability and quality of food sources as well as other supporting factors such as temperature, humidity, and light intensity. The purpose of this study was to identify fruit-feeding butterflies and their preferences for banana and pineapple baits in the Soraya Research Station Area, Leuser Ecosystem, Aceh, Indonesia from September to November 2020. Six forest trail locations were selected as trap locations. A total of 360 cylindrical gauze baited traps (80 cm high and 35 cm diameter) were installed on six trails/line transects. Baited traps were set at three different heights, that is at the understorey level ( 0-2 m), midstorey level ( 5-6 m), and overstorey level ( 10-11 m) with a distance of 5-10 m. The distance between location points is 250 m. The fruit baits used in this trap were ripe bananas and pineapples. The results obtained were 37 species with 176 individuals trapped on banana bait and 50 species with 183 individuals on pineapple bait. However, the results of the t-test using the Man-Whitney test showed no significant difference between the banana and pineapple bait used
Diversity and population structure of Dipterocarpaceae species in Weh Island Nature Tourism Park, Indonesia
Get PDFThe Dipterocarpaceae family is one of the identified plant groups with high conservation value that exist in Weh Island Nature Tourism Park. However, the data availability on the species diversity and population structure of Dipterocarpaceae in Weh island in particular and Aceh in general is still very limited. Thus, it is necessary to conduct studies on species diversity and population structure of Dipterocarpaceae from Weh Island. This study aims to obtain data on species abundance and diversity, species composition of each stratum, population structure, and stand structure of Dipterocarpaceae in Weh Island Nature Tourism Park. This research utilized transect method with randomly selected plots according to topographic conditions. We found two Dipterocarpaceae species: Shorea sumatrana (Slooten) Desch and Dipterocarpus hasseltii Blume. Shorea sumatrana (Slooten) Desch has the greatest abundance of all types and strata. The diversity of Dipterocarpaceae species in Weh Island Nature Tourism Park is categorized as low because the diversity index value is in the range of H'1. This means that the presence of seedling and sapling strata from each species has a major effect on the survival of the Dipterocarpaceae family in the future. The stand structure of the Dipterocarpaceae family in normal conditions is indicated by an inverted J shaped diagram
Optical pH sensor based on polyelectrolyte complex (PEC) pectin-chitosan/methanol anthocyanin extract of Catharanthus roseus for a new optical urea biosensor development
Get PDFConstruction of optical pH sensor as a new platform optical urea biosensor based on polyelectrolyte complex (PEC) pectin-chitosan membrane and total phenolic (anthocyanin) of Tapak Dara flower (Catharanthus roseus) has been successfully carried out. The anthocyanin was extracted by a maceration method for 72 hours using methanol, and a total extract yield was 21.56% or 1.803 mg/L. Flavonoid and phenol tests showed positive results indicated by the formation of red and black colours. The anthocyanins showed maximum absorption at 578 nm for phosphate buffer and 575 nm for tris HCl buffer solution. The sensor fabrication was performed using a mixture of pectin and chitosan solutions with a ratio of 3:7. The anthocyanin was mixed into the solution with various concentrations. The sensor has an optimum sensitivity at the anthocyanin concentration of 0.05 mg/L (phosphate buffer) in the pH range of 7.0-9.5 and 0.025 mg/L (Tris HCl buffer) with a narrower pH range of 6.0-7.5. This sensor produced higher sensitivity, a wider linear range, and good linearity when it was exposed in 0.03M PBS. Reproducibility test with a relative standard deviation percentage (% RSD) was 9.20. The sensor showed a stable response after 5 minutes exposed to PBS solution, and it can be used to measure pH within the 20th day. The optimized optical pH sensor has been successfully developed as a urea optical biosensor by immobilizing urease on its surface. The biosensor showed a linear response in a series of 10-1-10-10 M urea concentrations and has good linearity
The potential protective effects of malacca (Phyllanthus emblica L.) extract against doxorubicin-induced cardiotoxicity in male Wistar rats
Get PDFDoxorubicin as a chemotherapy agent is most widely used in cancer treatment. Long-term use at a predetermined dose has a side effect, namely cardiotoxicity. Doxorubicin-induced cardiotoxicity is considered to be caused by reactive oxygen species (ROS), which is also characterized by increasing CK-MB enzyme levels in the blood. To reduce the impact of doxorubin-induced toxicity, a study was conducted on natural antioxidant sources with cardioprotective capabilities in vivo. Phyllanthus emblica L. fruit was used as a sample for a natural source of antioxidants extracted using ethanol. Then performed a phytochemical screening of secondary metabolites contained in it. This extract was administered orally in various doses to the experimental animal Wistar rats and the induced doxorubicin to these animals. The CK-MB enzyme levels were measured, and the heart organ histopathology test was performed. The results of this study indicate that P. emblica L. fruit extract contains alkaloids, tannins, flavonoids, terpenoids, phenolics, and triterpenoids compounds. Extract treatment at a 400 mg/kg BW dose showed the best reduction in CK-MB levels with great improvements in regular arrangement and shape of myocardial muscle cells of cardiac tissue. The sample extract at a 400 mg/kg BW dose showed remarkably decreasing of CK-MB great improvements of heart tissue on doxorubicin-induced cardiotoxicity. This study showed the potential protective effect of P. emblica L. against doxorubicin-induced cardiotoxicity
Detection of qnrS and tetA resistance coding genes in Pseudomonas aeruginosaof egg-laying hens farmin Cianjur Regency, West Java
Get PDFThe use of antibiotics is an alternative to reduce disease incidence and is used to increase egg-laying hens. This study aims to detect the presence of antibiotic resistance to resistance coding genes in Pseudomonas aeruginosa bacteria. The cloacal swab samples were collected randomly as many 66 samples from several egg-laying hens farms in Cianjur Regency, West Java. The collected isolates were examined bacteriologically. The results of the antibiotic sensitivity test of 8 samples (12.1%) of the Pseudomonas aeruginosa showed the resistance level of antibiotics class tetracycline (tetracycline50%, oxytetracycline75%, and doxycycline50%), fluoroquinolone (enrofloxacin 12.5%), and phenicol (chloramphenicol 12.5%). Pseudomonas aeruginosa was resistant to tetracyclines, oxytetracyclines, doxycycline, enrofloxacin and is sensitive to chloramphenicol. The detection of resistance coding genes showed the genes amount of tetA (62.5%) and qnrS (75%). Efforts to determine the level of resistance and use of antibiotics in farms need regular surveillance and monitoring to ensure the wise use of antibiotics
Natural Decomposer (MOL) developed from various banana waste and different storage times
Get PDFMOL is a local microorganism or natural decomposer that is used as a starter culture in production of organic fertilizers which is known as bokashi. The advantage of using MOL is that it can be made from cheap materials or by utilizing agricultural waste so that it can increase the added value of waste as well as reduce the environmental pollution. The use of MOL as a biodecomposer in production of bokashi can accelerate the fermentation process. This study aimed to produce MOL where the characteristic is similar with commercial Effective Microorganism (EM4). This study used a factorial randomized block design (RBD) with 2 factors. First factor was the types of banana (J) consisted of three levels, namely awak banana (Musa paradisiacal var. Awak; J1), barangan banana (Musa acuminate Colla; J2), and kepok banana (Musa acuminata balbisiana Colla; J3). Second factor was the storage times consisted of three levels, namely 0 weeks after fermentation (L1), 2 weeks after fermentation (L2), and 4 weeks after fermentation (L3). The analysis carried out after fermentation included total cell counts (TCC), pH value, temperature, and organoleptic test in the form of hedonic test for color and description test for aroma. The best sample was determined based on the highest TCC, the lowest pH value and aroma using a ranking test. The best treatment was obtained from J1L2 treatment (awak banana and 2 weeks after fermentation) with 1.8 109 CFU/ml of TCC, 3.17 of pH and medium tapai aroma
The potential of silver nanoparticles to control Rhizoctonia solani (AG3-PT) growth in vitro
Get PDFSilver nanoparticles (AgNPs) have known anti-microbial properties and therefore have the potential to be used to control fungal plant pathogens. In this study we investigated the growth of a plant pathogenic fungus, Rhizoctonia solani (AG3-PT) in the presence of AgNPs. The effect of AgNPs at two different levels (20 and 50 mg L-1) on hyphal growth and sclerotium production and viability in R. solani was investigated. The results showed that at 20 mg AgNPs L-1 R. solani hyphal growth was reduced along with the production of sclerotia. The results indicate that AgNPs have the potential to control R. solani growth and subsequent development of plant disease symptoms
Non-perfect maze generation using Kruskal algorithm
Get PDFA non-perfect maze is a maze that contains loop or cycle and has no isolated cell. A non-perfect maze is an alternative to obtain a maze that cannot be satisfied by perfect maze. This paper discusses non-perfect maze generation with two kind of biases, that is, horizontal and vertical wall bias and cycle bias. In this research, a maze is modeled as a graph in order to generate non-perfect maze using Kruskal algorithm modifications. The modified Kruskal algorithm used Fisher Yates algorithm to obtain a random edge sequence and disjoint set data structure to reduce process time of the algorithm. The modification mentioned above are adding edges randomly while taking account of the edges orientation, and by adding additional edges after spanning tree is formed. The algorithm designed in this research constructs an non-perfect maze with complexity of where and denote vertex and edge set of an grid graph, respectively. Several biased non-perfect mazes were shown in this research by varying its dimension, wall bias and cycle bias
Indigenous Rhizobacteria treatment in controlling diseases Phytophthora palmivora and increasing the viability and growth of cocoa seedling
Get PDFRhizobacteria play a positive role as biocontrol agents as well as Plant Growth Promoting Rhizobacteria (PGPR) agents. The research objective was to obtain indigenous rhizobacteria isolates on cocoa plants that have the potential to inhibit the attack of P. palmivora fungal pathogens, and act as PGPR in vitro and in vivo. The results of the study concluded that isolates TRI 7/1, TRI 8/8, GM 7/9 and GM 7/10 had the highest ability to inhibit the growth of pathogen. The lowest disease severity (20%) was obtained in the seedlings treated using isolates TRI 7/1 and TRI 8/8. Rhizobacterial isolates GM 3/6, GM 5/6, GM 7/9 and GM 8/8 produce high amounts of IAA. Rhizobacteria isolates GM 5/6, GM 7/9 and GM 8/8 has very high peroxidase enzyme activity. High production of HCN compounds was obtained in rhizobacteria isolates TRI 3/3, TRI 4/10 and TRI GM 8/11. All rhizobacterial isolates gave an increase in the value of maximum growth potential, germination and vigor values for growth strength compared with the control. The rizobacteria treatments using isolates TRI 7/1, TRI 8/8, GM 7/9 and GM 7/10 were able to increase plant height, stem diameter and number of leaves at 30, 40, 50, 60, and 70 DAP compared to control treatment
A generalized linear mixed model for understanding determinant factors of student's interest in pursuing bachelor's degree at Universitas Syiah Kuala
Get PDFGeneralized Linear Mixed Model (GLMM) is a framework that has a response variable, fixed effects, and random effects. The response variable comes from an exponential family, whereas random effects have a normal distribution. Estimating parameters can be calculated using the maximum likelihood method using the Laplace approach or the Gauss-Hermite Quadrature (GHQ) approach. The purpose of this study was to identify factors that trigger student's interest to continue studying at Universitas Syiah Kuala (USK) using both techniques. The GLMM is suitable for the data because the variable response has a Bernoulli distribution, and the random effects are assumed to be having a normal distribution. Also, the model helps identify the relationship between the dependent variable and the predictors. This study utilizes data from six high schools in Banda Aceh city drawn using a two-stage sampling technique. Stage 1, we randomly chose six out of sixteen public senior high schools in Banda Aceh. Stage 2, we selected students from each school from four different major classes. The GLMM model includes one binary response variable, five numerical fixed-effects, and two random effects. The response variable is the interest of high school students to continue study at USK (yes or no). The five fixed effects in the model including scores of collaboration (C), Action (A), Emotion (E), Purposes (P), and Hope (H). Finally, the random effects are schools (S) and majors (M). In this study, both Laplace and GHQ techniques produce identical results. The predictors that can explain student interest are A, E, and H. These predictors have a positive effect. The random effects of schools and majors are not significantly different from zero. The model with three significant predictors is better than the complete predictor model