International Journal on Advanced Science, Engineering and Information Technology
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2006 research outputs found
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Development of Sound-Fish Aggregating Devices (S-FAD) Applied at Lift Net
Get PDFFish produced sound from internal organs and air bubbles caused by the friction of fish bodies with the surrounding water. The sounds are used to interact with each other, and the sound produced is stronger when gathered during eating. The study aimed to develop a sound-fish aggregating device (S-FAD) and produce an artificial fish sound with suitable frequency for several fish species. The study used analytical descriptive and experimental fishing, which divided into two steps, (1) S-FAD tool construction using a descriptive method to explain every step in the construction of tool and consideration in the use of supporting tools, and (2) effectiveness testing step using an experimental fishing method to see the horde pattern (behavior) and the target strength using an echosounder. The sound wave aids trial was carried out on a lift net from morning to noon. Data retrieval by recording the fish-finder screen was carried out for 1 minute before and after the sound wave device was put into the water. The S-FAD test was done 60 times and hauling lift net in every multiple of 4 trials. The results showed that the average fish that approached and came together before and after the S-FAD installation was 2.18 ± 0.98 and 2.79 ± 0.71 fish. The highest number of caught fish when hauling at lift net with four times repetition was 79 fish from 7 types, including Selaroides leptolepis, Stolephorus sp., Sphyraenidae sp., Scatophagus argus, Mugil sp., Portunus pelagicus, and Loligo sp
Classification of Indonesian Population's Level Happiness on Twitter Data Using N-Gram, Naïve Bayes, and Big Data Technology
Get PDFThe level of happiness is one factor that influences social interaction in the community. Therefore, the population's happiness level within the current year has become an exciting concern to be studied. Since last year, the world has been facing a COVID-19 pandemic. COVID-19 pandemic dramatically affects the happiness level of the population from a social, economic, health, education, and tourism perspective. The various affected sectors cause different levels of emotional happiness in the community in terms of social interactions in opinions and issues on social media. In addition, the number of issues on social media induce a vast data warehouse and high complexity. Big Data is a science that handles large amounts of data, which is unmanageable using traditional data processing methods or techniques. Various companies, organizations, researchers, and academics practice Big Data to extract and analyze the necessary information. Big Data is a general term used for all data collection forms of vast and complex nature. The utilization of Big Data can be valuable for a better decision-making process. This study uses Big Data Technology to evaluate the Indonesian population's happiness level on Twitter data. Method classified and technique using the N-Gram, Naïve Bayes, and Laplacian Smoothing Technique. The emotion in this research is classified into two aspects: happy and unhappy emotions. A total of 4.306.581 tweet data is classified; the obtained results revealed 39,4% happy emotion and 60,6% unhappy emotion
Generalized Space-Time Autoregressive Modeling of the Vertical Distribution of Copper and Gold Grades with a Porphyry-Deposit Case Study
Get PDFWe examined the first-order application of the generalized space-time autoregressive GSTAR (1;1) model. The autoregressive model was used and was performed simultaneously in multiple drill-hole locations. The GSTAR model was applied to data with absolute time parameter units, such as hours, days, months, or years. Here a new perspective on modeling space-time data is raised. We used the relative time parameter index as a discretization of the same drilling depth of mineralization through a porphyritic deposit. Random variables were the copper and gold grades derived from the hydrothermal fluid that passed through the rock fractures in a porphyry copper deposit in Indonesia. This research aims to model the vertical distribution of copper and gold grades through backcasting the GSTAR (1;1) model. Such results could help geologists to predict copper and gold grades in deeper zones in an ore deposit. Two spatial weight matrices were used in the GSTAR (1;1) model, and these were based on a Euclidean distance and kernel function. Both weight matrices were constructed from different perspectives. The Euclidean distance approach gave a fixed weight matrix. Meanwhile, the kernel function approach gave the possibility to be random since it is based on real observations. It is obtained that the estimated (in-sample) and predicted (out-sample) kernel weight approach was accurate. Copper and gold grades data could recommend the GSTAR (1;1) model with a spatial kernel weight for modeling the vertical continuity case
Effects of Science, Mathematics, and Informatics Convergence Education on Creative Problem-solving
Get PDFThe Fourth Industrial Revolution led to accelerated development and promotion of software (SW) usage in various fields. SW has been integrated into various areas to address multiple problems. As the importance of SW convergence increased, the need for SW convergence talent concomitantly increased. Korea implemented the “Science, Mathematics and Information Education Promotion Act†in 2018 to cultivate SW convergence talents. The Act includes not only the promotion of individual subjects but also science, mathematics, and information convergence education (SMICE). With the Act's enforcement, education programs for SMICE have been formulated. A study analyzed student satisfaction and perception regarding SMICE, but its effect on student education was not analyzed. Therefore, the present study analyzed the effects of SMICE on middle school students. The subjects comprised 163 middle school students who were divided into experimental and control groups. The control (n=83) received general informatics education. The experimental group (n=80) received both informatics education and SMICE. Creative problem-solving (CPS), a common competency of the three subjects, was selected as the test factor to analyze the educational effect. Changes in student CPS were examined using pre-and post-tests. The results showed no difference in the pre-test CPS between the experimental and control groups. The post-test results showed that the experimental group had higher CPS than the control. Notably, there was a significant increase in problem discovery and analysis, idea generation, persuasion, and communication metrics. These findings demonstrated that SMICE is effective in the CPS development of middle school students
Predicting Time Series of Temperature in Nineveh Using The Conversion Function Models
Get PDFPrediction of time series is one of the topics that receive significant interest because of its importance in various fields, especially when studying natural phenomena. In this research, the transformation function model was reconciled where it aims to use the genetic algorithm to estimate the parameters of the final transformation function model. Â Also, it was used to predict future values for the time series of monthly averages of temperatures in Nineveh Governorate for the period (1985-2000) as an output series and wind speed as an input series. In Nineveh Governorate, they are not stable in average and variance; when taking the square root of the data and taking the first seasonal difference as well as the first normal difference, stability was achieved, and then showed a model of the transformation function as shown in the equation (17). This research showed that the model's final parameters were estimated using the genetic algorithm based on the standard error squares average. The best estimate was chosen for the parameters that correspond to the lowest value of the average error squares, and by using this model, monthly temperature rates were predicted. Predictive values were shown to be consistent with the original values of the series. By depending on the transformation function model shown in the above equation, monthly averages of the temperature were predicted for the next four months, and the prediction results were consistent with the original time series values, which indicates the efficiency of the model
Evaluation of Backpropagation Neural Network Models for Early Prediction of Student’s Graduation in XYZ University
Get PDFThe study period of the student in a tertiary institution is undoubtedly essential in implementing the objectives of the tertiary institution, particularly for the implementation of the study program, so that its outcomes will affect accreditation. Prediction of students' study period can be a reference for higher education institutions in making policies for the future. Based on XYZ University data, especially in the informatics study program, many students have the different generation and concentration therein. In the implementation of students in studying, several factors, including the value of the Grade Point Average (GPA), can affect the study period taken. Likewise, the institutions often do not understand the conditions or predictive value of students' study period on campus. The application of neural networks in predicting the students’ study period at the XYZ University uses a network model with GPA values as input and 1 layer of hidden layers with 10, 50 and 100 neurons; learning rate values used are 0.01, 0.1 and 0.3 and 1 output target for the study period. Prediction results obtained the best results on the neuron network pattern 50 with 0.01 as a learning rate, which detail of MSE value, the training is 0,017516 and the testing is 0,047721, with an accuracy value of 77%
Mangosteen Quality Grading for Export Markets Using Digital Image Processing Techniques
Get PDFAccurate quality grading of mangosteen to meet the needs of consumers is very important for improving the value of the export business. Mangosteen fruit ripens quickly after harvesting, and shipping transportation time is a critical factor. Traditional grading methods by physical visual inspection result in delays and human-induced errors. This paper proposed an automatic grading system of mangosteen fruit that utilizes image processing techniques. The maturity stage, class, and size of mangosteen for the export market are analyzed. There are seven stages of maturity from stage one through to six and the under the mature stage, four classes (extra class, class B, class C, and non-standard class) and seven sizes (Jumbo through to Mini). Skin color, skin defect areas, completeness of calyx integrity are also considered. The preprocessing steps consisted of noise removal using a median filter and image enhancement using the grey level transformation. A combination of the mean intensity of red and green images was used to classify the maturation of the fruit. Areas damaged by yellow latex, cracks, and insect pests were extracted, and calyces were counted for class sorting. The length of the diameter was used for size classification. The thresholding, mathematical morphology, and extended minima transform techniques were also used. The average accuracy of the system was 99.54%, with a high accuracy rate for classifying the premium export grades. Results demonstrated that our proposed system was effective and could be used to improve productivity as an accurate and efficient grading method for mangosteen export
Geochemical of Karst Water in the Western part of Gunungkidul District Area
Get PDFThe geological condition of the study area is included in the karst of the Panggang hydrogeological subsystem. This karst area is characterized by the presence of surface water and groundwater, which is distinctive, where the water is interesting to be studied, especially on its hydrochemistry. By knowing hydrochemistry, this research wants to know about the relationship between surface water and groundwater. The method was a hydrogeological survey and accompanied by hydrochemical testing of dolines (surface) water and groundwater. The data have been analyzed by some hydrochemical diagrams such as Schoeller, Piper, Durov, and Collins diagrams. Springs emerge from reef limestone aquifers (Gunungsewu aquifers) in several places, supported by grains, fractures, and channels porosities. Both groundwater and surface water are colorless (46 - 350 TCU) and clear (3 - 19 NTU) with a pH of 6.8 - 8.1 and TDS 76 - 308 ppm. Groundwater shows the Ca – bicarbonate and Ca, Mg - bicarbonate types, whereas dolines (surface) water has Ca, Mg - bicarbonate types. Groundwater and surface water show relatively similar hydrochemical facies. Enrichment of hydrochemical groundwater is greater in springs than in dolines. The doline water may not correlate with each other, and it means that the groundwater flows to dolines maybe not be interconnected. Thus, water in the karst area may flow in all directions, depending on the porosity of the controlling channels. Water in the study area is young, indicated by the Ca2+ and HCO3- dominant ions, supported by ion exchange and simple dissolution processes
Potential Availability of Indigenous Resources to Reduce Agriculture Environmental Problems in Klaten, Indonesia
Get PDFInorganic fertilizer usage in high doses for rice cultivation in Indonesia has become a sustainable agriculture threat. Klaten has approximately more than 50% of the total areas were used for agricultural land. It needs a huge amount of agricultural input, especially fertilizer requirements. It is better to select a fertilizer that concerns soil conservation and is more environmentally friendly, i.e. organic fertilizer implementation, utilizing the materials to ensure its adequate availability. This research aims to identify the potential availability of organic fertilizer materials, which the farmers usually use in Klaten, and analyze how farmers' existing conditions can utilize the indigenous sources as organic fertilizer materials. This research used a descriptive method by using the data from field observation. The results showed that the potential availability of organic fertilizers in Klaten, such as Local Microorganism (MOL) of the banana hump, papaya fruit, and pineapple fruit, are 24,493.55 liters per year. They can cover about 979,742 ha paddy field area; Plant Growth Promoting Rhizobacteria (PGPR) of the bamboo root is 210,290 liters per year, and it can cover about 8,412 ha paddy field area; and animal manure composted of cows, goats, sheep, buffaloes, horses, and chickens’ dung is 101,841.91 tons per year, and it can cover about 20,368 ha paddy field area. The majority of the farmers used indigenous organic fertilizer because of their benefit for low-cost production and the ease of getting it
A Web-based DSS: Information System for Sustainable Fisheries Supply Chain in Coastal Communities of Small Islands Indonesia
Get PDFRecent advances in the development of information technology and the rapid use of decision support systems play significant roles in various fields, including the fisheries sector. Fishery-based activity for small island regions created more complicated problems that limited marine resources and high production costs. Thus, the need to develop efficient and effective tools for interconnecting supply and production becomes more crucial than ever to help local coastal communities. This study aimed to designs a web-based DSS for a sustainable supply chain of sectors in Southeast Maluku Regency, Indonesia (SIRIPIKAN). Firstly, we crafted the DSS framework to identify the fishing, supplier, and seller locations. Secondly, we measured the level of sustainability of marine resources. Thirdly, the web-based DSS can help local coastal communities increase managers' capability and ability in the fisheries-related business activity carried out. SIRIPIKAN aims to increase the profitability of fisheries business activities in coastal communities and preserve marine resources. This research combined the data mining activities with spatial analysis to obtain the cluster support map and MSY to measure sustainability and feasibility study as an approach for the development of the system. The model provides an integrated sustainable production with users' input used to optimize the decision-making process of profitability and sustainability in existing marine resources