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Widespread use of high-resolution satellite images may be found in many fields and applications. Its ability to record the earth's surface in more detail benefits regional spatial management, natural resources and disaster monitoring, and several other fields. The smaller coverage is unfortunate if areas are not visible due to cloud contamination. The presence of clouds can reduce or even eliminate the information in the image. Cloud detection on high-resolution images is a challenge because this image only has four channels: blue, green, red, and NIR. While the thermal channel, which is often used to detect the presence of clouds, is not owned by this image. This study proposes a method to identify clouds in high-resolution satellite imagery based on this limitation. The cloud detection software in this paper uses U-Net version 1.0. This software can be executed on a server or personal computer (PC). The model applied to the Dice coefficient and IoU to know how the segmentation model performs. The results of this cloud detection process are cloud detection raster data. This software generates the percentage of clouds in an image as a.txt file. The dice model is recommended for the cloud detection method based on the accuracy assessment. Users can utilize these results, especially in overcoming cloud constraints on high-resolution satellite imagery. This software is expected to fulfill the needs of remote-sensing data users. [ABSTRACT FROM AUTHOR]

Indonesia is an agricultural country with agriculture-based industries such as the wood industry for furniture as one of its developing industries. Wood-based industries typically generate a large amount of waste in the form of sawdust. The wood industry that utilizes coconut trees as a raw material will produce waste like sawdust and coir. Using pyrolysis techniques can convert sawdust and coir waste into biochar. Biochar is commonly used as a soil amendment because it can improve soil fertility. This research aims to determine the elemental content of biochar derived from wood sawdust and coconut coir dust and whether the resulting biochar is elementally suitable for use as a soil amendment. Biochar is created by burning coconut wood sawdust and coconut coir dust in a furnace at 250°C and 350°C for 4 hours, then grinding and sifting to a size of 355 micrometres at the Limnology and Water Resources Research Center. Elemental property analysis using an X-Ray Fluorescence Spectrometer (XRF) at Lampung Advanced Characterization-BRIN. According to the XRF analysis, the five dominant elements in coconut coir dust biochar are potassium (K) 42.97-43.87%, chlorine (Cl) 39.41-41.49, calcium (Ca) 11.68-12.51%, iron (Fe) 2.29-3.07%, and phosphorus (P) 0.51-0.54%. Meanwhile, the five most abundant elements in coconut sawdust biochar are iron (Fe) 46.37-50.08%, silica (Si) 19.05-20.56%, calcium (Ca) (7.94-12.10), aluminum (Al) (8.93-10.31%), and potassium (K) (4.01-5.62%). The findings of the study show that raw materials have a significant impact on elemental content. Furthermore, the elemental composition of sawdust biochar is dominated by toxic elements that are unfavorable when applied to the soil. Utilizing biochar from coir dust is better than biochar from sawdust based on elemental content. [ABSTRACT FROM AUTHOR]

The development of technology, especially smartphone or smartphone technology, has proliferated. Most people use the Android operating system rather than other operating systems. The smartphone can be installed with various applications ranging from chatting to gaming. Parents and children from an early age are also good at using Android smartphones. Currently, many applications such as games and learning media for children, but sometimes children prefer to play games rather than a study using a smartphone. This purpose in this research is to develop a mobile-based learning media applications that can provide benefits and good educational value to increase children's knowledge. Applications are built based on Android and made attractive so that children are interested in learning while playing. The method used in developing this learning application is based on the stages of developing the waterfall system, which consists of sets of analysis, design, implementation and testing. The design is object-based using UML (Unified Modeling Language). The result of this research is a learning media prototype for learning to recognize numbers and counting, where the results of testing the application functionality, the application can run according to the design results. [ABSTRACT FROM AUTHOR]

Biodiesel is gaining considerable attention in recent years as a greener candidate to replace petroleum-based diesel. Biodiesel can be synthesized through a transesterification process of vegetable oils using lipase as a biocatalyst, but industrially the process remains economically not yet feasible. Thus, this study on biodiesel production was carried out using commercial lipase immobilized on chitin in a fixed bed reactor to obtain optimum conditions. Immobilized lipase with high immobilization degree was obtained through activation of chitin using glutaraldehyde for 1.5-hour, 0.22 mg/mL lipase concentrations, and 18 hours incubation time. The immobilized lipase was then used in the transesterification process to convert palm oil into methyl ester. The transesterification temperatures and the oil-to-methanol molar ratios were varied between 40 to 55 degrees Celsius and 1:3 to 1:6, respectively. The highest methyl ester conversion yield after 8 hours of reaction was obtained at 45 degrees Celsius using the oil-to-methanol molar ratio of 1:4. The stability of the immobilized lipase was investigated through a transesterification reaction in a fixed bed reactor for 50 hours without stopping. The highest conversion of methyl ester was obtained at the twelfth hour with a yield of 67.95%. [ABSTRACT FROM AUTHOR]

The business management system called Point Of Sale is a modern version of the cash register that is equipped with a cash drawer and printer to print payment receipts. Function to improve service quality and competitiveness starting from sales reports, printing receipts, and managing profits. The purpose of developing a point of sale system to manage goods, distributors, purchase transactions, sales transactions, purchase returns, sales returns, income, operational administration to reports. Application system development using. PHP programming language with web-based Codeigniter framework. Application design using the waterfall method of needs analysis, system design, writing program code, program testing, and program implementation. [ABSTRACT FROM AUTHOR]

This study was intended to evaluate the influence of physical parameters on the formation of Yttrium Iron Garnet (YIG) through a sample pressing system under dry conditions. YIG, which is formed from solid oxide, is an important compound for the application of circulator components for radar and telecommunications equipment. Sample preparation begins by weighing the solid oxide according to the composition. Solid oxide particle size greatly affects the homogenization quality within powder mixing. Dry pressing conditions determine the quality of the garnet produced with low porosity. The porosity indicator used in this study is the densification parameter. Densification values of more than 70% can be achieved when using a powder size of less than 5 microns and a compacting pressure of about 700 MPa. Garnet with low porosity is physically stiff and strong and exhibits superior microwave response performance. Insertion loss was chosen as the main indicator of microwave response quality in this study. The sample under study has a densification of over 70% and shows a low insertion loss of less than 0.5 dB. The correct pressing technique will produce a garnet with low porosity and insertion loss. [ABSTRACT FROM AUTHOR]

Investment is one indicator that can affect the country's economy. One type of investment with great demand is stocks, so stock price fluctuations are always interesting to be analyzed. This study aims to model stock price fluctuations represented by dynamic logistics models since the stock price has a nonlinear pattern and grows rapidly but with restricted value. The model will be discretized and converted into a differential equation so that the solution can derive for a short period. Meanwhile, fit and forecast data analysis is applied to some actual data for long periods. The data used in this study is the daily closing price of the Indonesia Composite Index (IDX Composite) during the Covid-19 pandemic. Thus, the fluctuation of stock prices in Indonesia during the Covid-19 pandemic can analyze further. The results indicate that our prediction has a high accuracy since the Mean Average Percentage Error (MAPE) average is 4.332%, and the Root Mean Square Percentage Error (RMSPE) average is 5.572%. This study shows that investors can use the dynamic logistic model results to improve their knowledge as a consideration in decision-making. [ABSTRACT FROM AUTHOR]

One of the abundant wastes in the food industry is the waste of unused lablab beans due to overproduction or expiration during storage. To solve this condition, the waste of lablab bean can be used as biochar, which will be helpful for soil improvement. This study aimed to determine the chemical characterization of biochar derived from the waste of "Lablab purpureus" bean. Producing biochar is treated by carbonization of the beans using a furnace with a temperature of 250°C and 350°C. After carbonization, the biochar will be ground and sieved with a size of 355 micrometers at the Research Center for Limnology and Water Resources. Proximate analysis was done at Research Center for Limnology and Water Resources. Chemical characterization analysis was done using FTIR analysis at Integrated Laboratory of Bioproduct and X-Ray Fluorescence Spectrometer (XRF) at Lampung Advanced Characterization Laboratory-BRIN. The yields of biochar were 40.20% and 33.22% for the carbonization of 250 and 350 °C, respectively. Based on the proximate analysis the biochar shows value of moisture content 5.83-6.08% and the ash content 9.81% and 12.85% for each of the temperatures, respectively. FTIR analysis shows that the functional groups in the biochars were C-H, C=C, and C-O. The XRF analysis showed that the dominant content of lablab bean biochar is potassium (K2O) with a concentration of 75-76%, then phosphorus (P2O5) with a concentration of 16-17%, and magnesium (MgO) with a concentration of 1.7-1.9%. Furthermore, the potassium and phosphorus concentration from biochar derived from lablab beans were higher than the compost standard, which means biochar from lablab beans has potency as a candidate for soil amendment due to high nutrient contents. [ABSTRACT FROM AUTHOR]

Edible canna (Canna indica L. syn. Canna edulis Ker Gawl.) or Queensland arrowroot is known as underutilized yet functional food due to its excellent eating quality. This plant is harvested as edible starchy rhizome and propagated mostly vegetatively, distinguished by red and green canna for their leaves color. Our previous study found two groups of green canna in IAARD-ICABIOGRAD Gene Bank collection based on their morphological and molecular characters, but their biochemical and physicochemical status, especially on starch content has not been studied yet. This preliminary study aimed to identify starch content in tuber of 13 green canna accessions and to analyze relationship between geographical origin and phenotypic variation on their starch content. As supporting data, water content and dry content were also investigated. Results showed canna tubers from Banyuwangi (accession CI-12) had the highest starch content (15.01%), followed by accessions from Kuningan (CI-08), Bantul (CI-18), and Cilacap (CI-13) with content was >9.5%. High water content (>75%) was found on accessions from Banyumas (CI-09), Bantul (CI-21 and CI-27), Purworejo (CI-14), Kuningan (CI-08), Banyumas (CI-12), and Garut (CI-15). No significant different was observed in starch or water content of respective accessions derived from different origin. Cluster analysis on the respective observation showed two groups of green canna in this study. Further investigation on more accessions or specific starch components were advised to investigate any starch variability to improve utilization of canna as potential food source for health and dietary diversity. [ABSTRACT FROM AUTHOR]

Brown planthoppers (BPH, Nilaparvata lugens Stål) is considered as the main pest in rice plantation in Indonesia, including Sumatra Island. An Integrated Pest Management (IPM) by using resistant varieties is one of the best approaches to control the pest. Local germplasm offers source of gene for the development of resistant varieties. This study was subjected to observe the resistance of local rice varieties originated from Sumatra Island, Indonesia to BPH. The evaluation was carried out using seedling test method. A total of 85 rice accessions of IAARD-ICABIOGRAD Gene Bank collected from Sumatra Island were assessed in a randomized experimental design with three replications. IR 42 and IR 64 were used as susceptible check, whereas PTB 33 was used as resistant check for BPH. Scoring and determination level of resistance were conducted according to Standard Evaluation System of IRRI. The results showed that 5 and 14 rice accessions were highly resistant and resistant to BPH, respectively. There was no correlation observed between the level of BPH resistance and the origin of the accessions. The existences of some highly resistant local rice accessions identified in present study are potential sources for the development of BPH resistant varieties to support the implementation of IPM and agricultural development in the region. [ABSTRACT FROM AUTHOR]

One of the inter-island connectivity in Indonesia is supported by the availability of maritime ports. The existence of a port is essentially to facilitate the transfer of goods between the modes of land transportation (inland transport) and the mode of sea transportation (maritime transport) as well as channel goods in and out of customs areas as quickly and efficiently as possible. However, to support the efficiency and effectiveness of port activities is still constrained by several existing problems. Some problems in port activities include Dwell Time and Equipment for supporting port activities. This study aims to optimize the utility of loading and unloading activities on the terminal container operating model by allocating resources and scheduling devices that are different from terminal operations by using Flexterm simulation software. Research has been carried out by making a container terminal model in Flexterm using parameters from the operational data of container ships with a capacity of 2226 TEUs with variations of quay crane. By increasing the number of resource units, especially the quay crane, can increase or decrease the utility of other resources. But it hasn't changed significantly. This applies to the trucks that have been simulated in this research model. By adding 2 quay cranes, this has an effect on time efficiency in loading and unloading operations. The utility at the container terminal is affected by the amount of resource allocation at the port itself. The ratio of the resource ratio must be adjusted according to the location or geographic location of the port. [ABSTRACT FROM AUTHOR]

Electron-doped superconducting cuprate of Eu1.85Ce0.15CuO4+α-δ (ECCO) has been successfully synthesized in various annealing condition in order to investigate the dependence of oxygen content (δ) with their physical properties, namely, structure, transport and magnetic properties. The value of δ is estimated from weight changes before and after annealing process. XRD, temperature dependence of resistivity and dc magnetic susceptibility measurements were performed to study structure, transport and magnetic properties, respectively. For samples with δ values smaller than 0.095, tetragonal T' structure that similar with other electron-doped superconducting system is observed. From resistivity measurement, the trace of superconductivity is starting observed in the samples with δ values larger than 0.02. From dc magnetic susceptibility data, it is found that the highest Tc onset of 11.5 K is observed in the samples with δ value of 0.041. [ABSTRACT FROM AUTHOR]

Electron-doped superconducting cuprate of Eu1.85Ce0.15CuO4+α-δ (ECCO) has been successfully synthesized in various annealing condition in order to investigate the dependence of oxygen content (δ) with their physical properties, namely, structure, transport and magnetic properties. The value of δ is estimated from weight changes before and after annealing process. XRD, temperature dependence of resistivity and dc magnetic susceptibility measurements were performed to study structure, transport and magnetic properties, respectively. For samples with δ values smaller than 0.095, tetragonal T' structure that similar with other electron-doped superconducting system is observed. From resistivity measurement, the trace of superconductivity is starting observed in the samples with δ values larger than 0.02. From dc magnetic susceptibility data, it is found that the highest Tc onset of 11.5 K is observed in the samples with δ value of 0.041. [ABSTRACT FROM AUTHOR]