Jurnal ILMU DASAR
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    416 research outputs found

    Degraded Forest Evaluation Using Vegetation Indices at Bandealit Resort, Meru Betiri National Park

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    The forest degradation and deforestation was widely occurred in Indonesia and Meru Betiri National Park is one of the area with illegal loggings threats. Bandealit Resort as one of the resort in Meru Betiri National Park was reported as the area with high activity of illegal loggings specifically in 2020. Based on this information, this research study aims to evaluate the degraded level of the forests using Normalized Difference Vegetation Index and Enhanced Vegetation Index (NDVI and EVI) so it can be managed and evaluated in the future. This research use direct and indirect observation methods in three areas with different damage levels. Direct observation was done by counting the number of species and the stands trees, while the indirect observation was analyzing the Landsat 8 Imagery in 2020, 2021 and 2022. The results showed that the A area had the lowest density with only 45 remaining trees than two others with more than 150 trees. The greenness levels imply the quality level of tree stand density, as higher the tree stand density, the higher the greenness. NDVI and EVI showed that A area had the range from low greenness (sparse density) to high greenness (medium density) than two others area had the higher greenness and densities

    Effect of Nitrogen Composition on Band Gap Energy and Photocatalytic Activity of TiO2-N/Zeolite Composite

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    In this study, the application and performance of TiO2-N/Zeolite composites for MB photodegradation under UV irradiation have been reviewed. To improve the removal performance, the TiO2-N/Zeolite composite was varied based on the concentration ratio of urea to TiO2, where urea is a precursor of nitrogen. UV-Vis DRS tests were also carried out to compare and evaluate differences in band gap energy for each variant, analysis of degradation results and MB removal mechanisms by TiO2-N/Zeolite composites are described in this study. The aim of this research is to determine the effect of the urea to TiO2 concentration ratio (urea:TiO2), on the photocatalytic activity of the TiO2-N/Zeolite composite and also its physical characteristics, namely band gap energy. Thus, as a comparison, TiO2 and TiO2-N were also tested for photocatalytic activity and band gap energy physical characteristics. The conclusion obtained from this research is that the smaller the nitrogen composition in the TiO2-N/Zeolite composite, the greater the photocatalytic activity capability in degrading MB, in this case the TiO2-N/Zeolite (1.5) sample has the best photocatalytic activity. The next conclusion is that the higher the nitrogen composition in the TiO2-N/Zeolite composite, the smaller the band gap energy

    Growth of Tilapia (Oreochromis niloticus Linn.) Feeded by Fermented Coconut Pulp with Aspergillus niger

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    Coconut pulp fermented with Aspergillus niger can be used as an alternative ingredient in the manufacture of tilapia (O. niloticus) feed. This study aims to determine the nutritional content of fermented coconut dregs and the growth of tilapia after being fed a feed made from fermented coconut dregs with A. niger. Tilapia (O. niloticus) feed is made by mixing fermented coconut pulp and artificial feed. The combination of feed used in this study was A (control, 100% artificial feed), B (10% coconut pulp: 90% artificial feed), C (20% coconut pulp: 80% artificial feed), D (30% coconut pulp : artificial feed 70%), E (coconut pulp 40%: artificial feed 60%) and F (coconut pulp 50%: artificial feed 50%). Based on the proximate analysis that has been carried out, it shows that treatment B has the most optimal nutritional content for tilapia (O. niloticus). The nutritional content of feed B was 7.26% water content, 7.19% ash, 23,21% crude protein, 8,93% crude fat and 16,23% crude fiber. The results showed that treatment B gave the most significant growth rate and relative growth rate of 0.77 g/day and 3.04%

    Classification of Malignancy of Lung Cancer Using Backpropagation Algorithm on CT-Scan Images

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    In this study, we investigate the classification of lung cancer CT scan images based on malignancy level using a backpropagation artificial neural network (ANN). Lung cancer is a deadly disease characterized by the growth of abnormal lung cells. The proposed method involves preprocessing to enhance image quality, followed by feature extraction using the Gray Level Co-occurrence Matrix (GLCM) method with angle variations of 0°, 45°, 90°, 135°, and d=1. The extracted features include energy, contrast, correlation, and homogeneity. The energy value range in malignant cancer is 0.27 to 0.81, while in benign cancer it is 0.26 to 0.73. The contrast in benign cancer ranges from 1.38 to 11.87, while in malignant cancer it is 1.47 to 13.67. The image correlation for malignant cancer is between 0.63 to 0.94, while for benign cancer it is 0.69 to 0.96. Homogeneity in malignant cancer has a value range between 0.67 to 0.91, while in benign cancer it ranges from 0.70 to 0.92. The classification of lung cancer malignancy is restricted to benign and malignant levels using a network architecture of [4 10 2], maximum iteration of 100000, and learning rate of 0.001. The accuracy of the testing data from the ANN is between 90% and 100%. These results demonstrate the effectiveness of the GLCM method and backpropagation algorithm in accurately classifying the malignancy level of lung cancer, which could aid in the early detection and treatment of the disease

    Potential of Ecoenzymes and N2 Nanobubbles on the Growth of Phalaenopsis sp. Orchid at the Acclimatization Stage

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    Growth is a quantitative change during one plant’s life cycle and is irreversible.withaddition An in crease the volume or dry weight of plants or other organs is due to the adding, of new structural elements. Phalaenopsis (moth orchid) is a genus of orchids appeal. The diversity of colors, shapes, and textures, as well as its aroma, make Phalaenopsis orchids one of the charming flowers of Indonesia. Ecoenzyme is a solution of complex organic substances produced from the fermentation of organic residues, sugar, and water. Nanobubbles (NBs) are an example of nanotechnology. NBs have a diameter of 1-100 nm and are nanoscopic gas bubbles in a solution or water that can change the characteristics of water and are stable. This study aims to determine the potential of giving Ecoenzyme and NBs N2 on the growth of Phalaenopsis orchids during the acclimatization stage. This research was conducted from October to December 2022 at the Orchidology and Nursery Laboratory, Islamic University of Malang. This study used an experimental method with a completely randomized design (CRD) with 10 treatments, namely 0 mL/L (control), 1 mL/L Ecoenzyme, 2 mL/L Ecoenzyme, 3 mL/L Ecoenzyme, 4 mL/L Ecoenzyme, 4 combination NBs N2 and Ecoenzymes, and 5 mL NBs N2 with 3 replications, making a total of 30 treatment units. The research parameters included the number of leaves, leaf length, number of roots, root length, plant height, fresh weight, and plant dry weight. The results of this study showed that the treatment of 3 mL/L Ecoenzyme showed potential in increasing the number of leaves by 4 pieces: at the same time the optimal concentration of the combination of Ecoenzyme and NBs was 2 mL/L plus 5 mL NBs N2 in increasing the number of roots by 10 pieces, and the optimal concentration of NBs was 5 mL in increasing the root length by 7.07 cm, plant height by 17.10 cm leaf. length, plant weight by 4.16 g and dry weight by 0.85 g in Phalaenopsis orchids

    Anti-Bacterial Activity of Etanolic Extract and Essential Oil of Basil (Ocimum sanctum) on Growth Staphylococcus aureus Salmonella thypii and Eschericia coli

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    Antimicrobial resistance is one of the biggest health problems. Indonesia is a country with a positive high number of E. coli (71%) Extended Spectrum Beta Lactamase (ESBL) in the Asia Pacific. Many studies report that essential oils and extracts from several species of Ocimum have antimicrobial activity against gram-positive and negative bacteria. Antibacterial activity is related to active compounds contained in plants that are also affected by the place of growth, harvesting and post-harvesting. Research related to the activity of basil (Ocimum sanctum) that already exists does not provide complete and comprehensive data related to where to grow, harvest and post-harvest basil leaves. Basil leaves that have been set parameters for growth, harvest and post-harvest processes are extracted using maceration method with 70% etanol solvent and distilled to obtain essential oils (EO). Etanolic extract (EE) and EO were tested for their activity against Escherichia coli, Staphylococcus aureus and Salmonella thypii bacteria. The results showed that the basil leaves obtained from Margahayu sub-district, East Bekasi, had a dry simplicia yield of 12.8% ± 1.5, yield of EE 16.9% ± 1.6, EO content of 0.56%. The etanolic extract of basil leaves contains alkaloids, saponins, tannins, phenolics, flavonoids, glycosides, triterpenoids and steroids. The conclusion from the results of this study is the etanol extract and essential oils of basil leaves can inhibit the growth of bacteria, both basile leaves. The inhibition zone diameter is higher in gram positive bacteria (S. aureus) than gram negative bacteria (S. thypii and E. coli)

    Design and Construction of Electrical Energy Source Panel Based on Thermoelectric Generators on Mild Steel Galvalume

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    A thermoelectric generator (TEG) is a device that converts heat energy into electrical energy. The working principle of this device is based on Seebeck's law, namely this device will produce electrical energy if the cold side and hot side of this device have a temperature difference value of . This device can be used for generator panels whose heat source comes from the sun. The cold side of the TEG is conditioned by utilizing water fluid which is passed over the heatsink. The temperature difference between the hot and cold sides of the TEG generates an electric voltage through the Seebeck effect. The parameters observed in the research on electricity generation using this TEG are voltage, current, electric power, and the temperature difference between the hot and cold sides. The resulting parameter values are as follows; average voltage (0.5495 volts), average electric current strength of 0.04 A, average electric power (0.022 watts). mean temperature difference (16.006 oC). The largest average Seebeck coefficient is 0.0413 V/oC

    Stomata of Grass in The Ex Tin-Mining Land in Bangka

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    Tin-mined land experiences drought, high light intensity, and temperature which is less supportive of plant growth. The study observed the anatomical responses of grasses leaves. This study aims to measure stomatal density, stomatal index, guard cell length, and guard cell width of three grass species that grow naturally in ex tin-mined land and in undisturbed land. Description method carried out based on the paradermal incision resulted in the wholemount method. The results showed each grass species has a different response to their different habitats. The stomatal density of Imperata cylindrica and Paspalum conjugatum collected from ex tin-mined land were higher than to those plants collected from undisturbed land, however the stomatal density in Scleria levis showed the opposite result. Stomatal index of all three species increases in ex tin-mined land were higher than in undistributed land. Guard cell lengths of I. cylindrica and P. conjugatum were smaller than those in undistributed land, but Scleria levis showed the opposite result. Guard cell width of I. cylindrica and S. levis were wider than those in undistributed land, but P. conjugatum showed the opposite result. These responses may reflect their adaptiveness to tin soils

    The Effect of Taro Tuber Starch (Colocasia esculenta (L.) schott) Addition to Characteristic of Biodegradable Plastic with PVA Polymer and Calcium Carbonate (CaCO3) Filler

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    The preparation of biodegradable plastics based on polyvinyl alcohol (PVA)-taro starch as an alternative to synthetic plastics has been conducted. The aim of this research was to identify the effect of taro starch composition on the production of biodegradable plastic and their characteristics in an aquatic environment. The solution casting method was used to produce biodegradable plastic. PVA was dissolved in hot distilled water, and taro starch (0; 0.5; 1.5; 2.5; and 3.5 g) was dissolved in another chamber filled with distilled water, glycerol and citric acid. Both solutions were mixed together and CaCO3 was then added. The mixture was casted on acrylic plates while biodegradable plastic without starch was used as a control. Characteristic of Biodegradable plastic and it’s properties were examined by Fourier Transform Infra Red (FTIR), water uptake, and moisture absorption test. While the biodegrability of the sample were tested in river water media in the laboratory. The results showed that the wave number at 1698-1712 cm-1, indicating that the cross-linking between PVA and the starch occured. Water uptake and moisture absorption tests showed that all of the biodegradable plastic varieties produced were hydrophilic. The biodegradation test showed that the largest degree of decomposition was reached by the PVA-starch 3.5 g variety which was 80.33%. Thus, the more starch on biodegradable plastic, the more biodegradation achieved

    Analysis of SIR Mathematical Model for Malaria Disease: A Study in Assam, India

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    The global outbreak of covid-19 pandemic is still affecting people around the globe very badly. Before the covid-19 pandemic outbreak, several research works were done for the detection and prevention of various infectious diseases using different mathematical modeling. Implementing mathematical modeling to resolve problems in Biology and physiology is generally called Mathematical Biology, an extremely interdisciplinary area. The applications of mathematical modeling in the analysis of infectious diseases help to concentrate on the necessary processes associated with forming the infectious disease epidemiology and specifications estimation. The compartmental mathematical model can be either SI, SIS, SIR, SIRS, or SEIR where S, I, R, and E denote susceptible, infected, recovered, and exposed respectively. Malaria is an infectious disease that has a large economic and health impact on society. This study aims to predict the estimation of suspected, infected and recovered people using the SIR mathematical model of the Barama area of Baksa District in Assam, India. Here we analyzed the Basic Reproductive Ratio of the SIR model for malaria disease and examined if malaria is epidemic or endemic in that area

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