International Journal on Advanced Science, Engineering and Information Technology
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An Optimal Design of Grounding System for Tower Footings in Payakumbuh 150 kV Transmission Line of Koto Panjang
Get PDFThe 150 kV Koto Panjang – Payakumbuh transmission line has a line length of 86 km with 249 towers, and the occurrence of the back-flashover in their transmission line is 74%, indicated by the high tower footing resistance as that is >3 ohms. The type of rock on the transmission line and the location of the towers, 79% in hilly or mountainous terrains, are among the factors that can cause an increase in the resistance value. The results of this study indicate that the level of back-flashover affects the value of the tower footing resistance by considering the number of electrode installations. When the towers were installed with more electrodes, the value of tower footing resistance, back-flashover level, and insulator voltage could be reduced to less than half of the previous ones. Moreover, the occurrence of the back-flashover rate in each tower can be dropped to ≤ 1 back-flashover rate of 100-km/year. Each tower's soil resistivity value has grown, yet fewer back-flashover disruptions exist. The span's length causes this, as the shorter the span, the faster the reflected wave will travel. As a result, it can lower the voltage in the insulator and diminish the likelihood that a flashover would occur
Characteristics of Anthocyanin as Natural Dyes from Butterfly Pea (Clitoria ternatea L.) on Regions Growing in North Maluku
Get PDFButterfly pea has the potential to be a natural dye. The identification of anthocyanin compounds and anthocyanin content and antioxidant activity of butterfly pea flowers that grow in several regions in North Maluku need to be traced to identify the quality of anthocyanin content from late flowers. The research samples for the butterfly pea flower came from seven growing regions in North Maluku, and this study aimed to identify the phytochemical components of anthocyanins using the GC-MS method and to determine antioxidant activity using the DPPH method in ethanol extracts defined using the spectrophotometric method. The data obtained revealed the results of GC-MS phytochemicals and confectionery was identified as approximately 4-7 anthocyanin compounds with varying retention time peaks, with the best growth area for the highest anthocyanin content in Fitu Ternate with 35.38%, the Tidore region 33.92% and Maliaro 33.22%. Gas Chromatography-Mass Spectrometric (GC-MS) analysis results are intended to filter phytochemical, functional component groups presented by the Fourier Transform Infrared Spectrophotometer (FT-IR) in ethanol extract of Clitoria ternatea flowers. The results showed that the antioxidant activity test obtained IC50 values on dried eagle flower extracts from several growing areas in North Maluku, which ranged from 39,009 – 74,481 μg / ml. IC50 values are best produced in the growing area of Fitu Ternate and Tidore of 39,01 and 39,37 criteria for oxidant activity with powerful free radical inhibition
The Effects Morpho-Anatomical Characters Leaves Tectona grandis and Gmelina arborea as Carbon Dioxide Absorption in Unhas Urban Forest
Get PDFUrban forests play an important role in reducing the impact of pollutants in the air, such as carbon dioxide (CO2). Plants can absorb several kinds of pollutants, so they can play a role in cleaning the air from air pollution. Air pollution can also affect the morphology and anatomy of the leaves, such as chlorosis and necrosis. Thus, this study was conducted to characterize the morphology, stomata anatomy, and physiology of the Tectona grandis and Gmelina arborea tree species in their potential as CO2 pollutant absorbers in the Urban Forest of Hasanuddin University Tamalanrea Makassar. The method used was an analysis of leaves morphology characterization, longitudinal leaves stomata characterization using nail polish containing acetone, analysis of leaves chlorophyll content, and CO2 absorption; the data were analyzed descriptively. The results showed that the characteristics of leaves morphology leaves, stomata, and leaves chlorophyll content affected the absorption of CO2 pollutants in each type of tree. Tectona grandis has thick leaves morphology characteristics, roughly hairy leaves surface, leaves size 298.42 cm per leaves blade, abaxial stomata number 80.000 stomata/mm2, stomata size 80.390 µm, chlorophyll a 0.016 mg/g, chlorophyll b 0.104 mg/g, and ability of CO2 absorption of leaves was 0.0138x10-4 g/cm2. Gmelina arborea has thin leaves morphological characteristics, smooth leaves surface, leaves the size of 165.726 cm per leaves blade, several abaxial stomata of 488.667 stomata/mm2, stomata size of 77.537 µm, chlorophyll a 0.015 mg/g, chlorophyll b 0.083 mg/g, and ability of CO2 absorption of leaves were 0.0441x10-4 g/cm2
Staffing Database Application Development Based on YII Framework
Get PDFThe development of information systems and technology plays an important role in improving the quality of management activities, one of which is the management of personnel data. The development of a technology-based facility in the 21st century as it is today can provide many benefits, one of which can be used to improve staff performance. This study aims to produce a database application system design for the Faculty of Education, State University of Surabaya based on the Yii Framework and to provide easy management of the staffing database for the Faculty of Education, State University of Surabaya, so that it is properly recorded. This research was conducted using the Research and Development (R&D) method by applying nine of the ten steps proposed by Borg and Gall. The results showed that the Yii Framework-Based Personnel Database Application has been successfully developed with an average score of 85% for each tested category, which means that the Yii Framework-Based Personnel Database Application has reached the category of very feasible to use. With the development of this staffing database, it is proven that it can help the faculty manage its human resource data. Even so, this staffing database application still has some drawbacks, including using the Internet and conventional supervision. Therefore, it still needs continuous improvement. This result also can be used for further research to analyze the impact of YII Framework-Based Personnel Database Application on its user to give more knowledge to the reader, the developer, and stakeholder
Assessment of Extreme Precipitation for Developing Agricultural Adaptation Strategy in the Selo Watershed Area
Get PDFThe ongoing climate change resulting from the effects of global warming is manifested through increased variability and a rise in extreme precipitation events. Given this situation, it becomes imperative for farmers to adapt to these changes to ensure the long-term sustainability of their businesses. Therefore, this research aimed to assess extreme precipitation for planning adaptation strategies for agricultural water resources in the Selo watershed, Tanah Datar Regency, West Sumatra Province, Indonesia. Climate Hazards Group Infrared Precipitation and Stations (CHIRPS) data were used to accomplish this, spanning 1981 to 2020. A set of indices recommended by ETCCDI, including PRCPTOT, CDD, CWD, R95p, R99p, SDII, R10mm, R20mm, R30mm, and R40mm were employed to assess extreme precipitation. Climate Data Operator (CDO) and GrADS were conducted for downscale and plotting data.
Furthermore, the Mann-Kendall test was conducted to determine the significance of change trends in the indices. R-Climdex was used to determine the extreme event based on the data used. The results showed that all indices indicated wet conditions during the period 1981-2020. The topographic characteristics of the watershed served as a basis for selecting suitable adaptation strategies within the agricultural water resources sector. One potential approach involves integrating conservation-based adaptation practices with comprehensive watershed management techniques. Factors such as the area’s sensitivity to changes in the total intensity or frequency of precipitation, combined with the local environmental conditions, can be considered in determining the optimal adaptation approach
Transmutation of Plutonium and Minor Actinide in PWR Thorium-Transuranic Fuel Assembly
Get PDFLong-lived radioactive waste is often considered a concerning issue on utilizing nuclear power. This waste is in the form of plutonium and minor actinides (MA), formed due to successive neutron capture of 238U. Both are not particularly hazardous radiologically, but their long half-life caused an issue in the public acceptance of radioactive waste disposal. Thereby, this issue must be resolved, either politically or technically. One of the technical solutions to address the issue of long-lived radioactive waste is the incineration of transuranic (TRU) elements in a pressurized water reactor (PWR) fuel assembly. Mixing TRU with thorium in a PWR fuel assembly can theoretically reduce TRU stockpile more effectively than uranium. This paper discusses plutonium and MA transmutation in a Thorium-Transuranic (Th-TRU) PWR fuel assembly using MCNP6 code and ENDF/B-VII library. A Westinghouse 17×17 PWR fuel assembly was chosen to determine the feasibility of TRU incineration. Three assemblies of 50:50, 55:45, and 60:40 mixture of UO2 and Th-TRU fuel rods are compared to one reference UO2 assembly from the criticality and burn-up point of view. From the calculations, the plutonium incineration rate was observed to be 9.47 %, 10.91 %, and 12.2 %, while MA incineration rates were found to be 11.5 %, 11.93 %, and 12.3 % for Th50-TRU50, Th55-TRU45, and Th60-TRU40, respectively. This observation indicates that a higher thorium fraction in the fuel assembly can increase the TRU transmutation rate. Therefore, a high thorium fraction is recommended to increase the transmutation rate of the TRU
Learning Dayak Literature through Information Systems
Get PDFThis study aims to analyze old poetry (mantras) as part of learning literature during the Corona pandemic that is currently hitting Indonesia. Also, this study revitalizes culture by creating an information system application. This study used descriptive qualitative. There were 16 participants, consisting of the village community of Ranyai, cultures, traditional stakeholders, and village heads. This method provided an overview and described the research results on literary culture and an analysis of the structure of prayer/mantra in the Gawai Dayak tradition and its revitalization efforts. The results showed that the structure of the text in the form of mantra utterances was based on the analysis of syntax, rhyme, and rhythm. The context of the Gawai Dayak tradition consists of cultural, situational, social, and ideological contexts. The context of the Gawai Dayak tradition consisted of motion, proxemic, paralinguistic, and material contexts. The design of an information system on Dayak literature could help realize the revitalization of cultural traditions and teaching and learning processes in a directed, effective, and consistent manner during the Corona pandemic. The implication for further research was the opening of further research developments, such as looking for values from tradition. Learning that used information systems was also still wide open to be developed with other more complete applications and under the times
The Fermentation Time Effect against the Isoflavones Profiles of Genistein and Daidzein of Blacksoyghurt as a Potential Functional-Probiotic Drink
Get PDFBlacksoyghurt is a fermented black soybean juice drink as a vegan probiotic product as an option as a substitute for dairy products. Black soybean glucoside isoflavone compounds are converted into aglycone compounds during the fermentation process which is antioxidant compounds. This study aims to determine the effect of fermentation time on the isoflavone profile of genistein and daidzein blacksoyghurt, as well as panelists' preferences as potential functional drinks. Blacksoyghurt was fermented with 5% lactic acid bacteria starter at 37°C for 0 hours, 3 hours, 6 hours, 9 hours, and 12 hours. The results of isoflavone, genistein, and daidzein profiles were analyzed by descriptive analysis using Microsoft Excel 19 for windows. LAB viability analysis was analyzed using one-way ANOVA followed by Duncan's analysis to determine whether there was a significant difference in treatment at the
Modeling of Strategic Alignment to Modify TOGAF Architecture Development Method Based on Business Strategy Model
Get PDFStrategic alignment is generally seen as an important driver for optimizing business performance. Strategic alignment is aligning internal resource capabilities and external opportunities for superior performance. To realize the suitability of Business and IT strategies, a framework is needed, namely Enterprise Architecture (EA). One of the frameworks for EA is The Open Group Architecture Framework (TOGAF). TOGAF is a method for developing and managing the Enterprise Architecture life cycle called Architectural Development Method (ADM). This ADM integrates elements of the TOGAF standard in responding to the organization's business, and IT needs. In this paper, researchers will contribute to formulating a strategic alignment model to modify the existing strategic alignment in TOGAF ADM based on the business strategy model. In this business model strategy, there are two things: the analysis of business strategy choices and the Balanced Score Card (BSC) strategy map. Analysis of business strategy choices uses SWOT analysis as a business strategy determination based on internal and external business environment analysis. Second, the BSC strategy map is a process of mapping business strategies into the BSC strategy map, which includes four perspectives: financial, customer, internal business processes, and learning and growth perspectives. This model was tested at the Universitas Dinamika, and the results have a good alignment rate of 95%. For further research, this model can be tested in various organizations, such as universities and public and private organizations
Coefficient Prediction for Physically-based Cloth Simulation Using Deep learning
Get PDFPhysically-based cloth simulation involves modeling cloth as a collection of particles or nodes connected by various types of constraints. These particles interact with each other and the environment, such as gravity or collisions, to accurately simulate the cloth's behavior. One essential component of such simulations is the set of material parameters or coefficients that dictate the cloth's physical properties, such as stiffness and damping. Deep learning-based coefficient prediction in physically-based cloth simulation involves using machine learning techniques, specifically deep neural networks, to predict the material parameters of cloth from its geometric and physical properties. The deep learning model is trained using a dataset of simulated cloth instances, where the material parameters are known. The input to the model is a set of geometric and physical properties of the cloth, such as the dimensions, orientation, and velocity. The output of the model is the set of material parameters that best represent the cloth's behavior under these conditions. This paper proposes a deep learning method for predicting these coefficients using a multi-label video classification approach. The training data is generated from a physics-based simulator, and the method is evaluated on some cloth simulations, such as fabric falling down, fabric with collision, and fabric affected by airflow. The cloth movement dataset is generated from a mass-spring-based simulation. The results show that the transformer model has much higher accuracy than other models. This study provides a promising approach for predicting the coefficients of virtual cloth in physically-based simulations