Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710958
A. Priyadi, Talitha Pusnita Sari, I. Hafidz, M. Pujiantara, N. Yorino, M. Purnomo
Transient stability analysis become the main focus in this paper because of the importance of generator protection scheme. One of many methods to obtain CCT is critical trajectory method which can be used to determine rotor angle trajectory through a simulation before the generator loss of synchronism. Moreover, this method has a faster calculation due to the number of variables are equal with number of equation. In order to improve transient stability, Super Capacitor Energy Storage (SCES) is installed in the system. This unit stores energy in energy kinetic form that will injected in the system. IEEE 3-machine 9-bus system is used to tested this proposed method. From simulation result, the installment SCES can give higher CCT which leads to more robust systems operation in average range time 0.016 second faster. It can be concluded that the propose method can improve transient stability by installing SCES in the system.
由于发电机保护方案的重要性，暂态稳定分析成为本文研究的重点。在获得CCT的众多方法中，有一种是临界轨迹法，它可以在发电机失同步前通过仿真确定转子角度轨迹。此外，由于变量的数量与方程的数量相等，该方法具有更快的计算速度。为了提高系统的暂态稳定性，在系统中安装了超级电容器储能系统(Super Capacitor Energy Storage, SCES)。该装置以动能形式储存能量，然后注入系统。采用IEEE 3机9总线系统对该方法进行了测试。仿真结果表明，该装置可提供更高的CCT，使系统在平均范围内的运行速度提高0.016秒。结果表明，该方法可以通过在系统中安装SCES来提高系统的暂态稳定性。
{"title":"Losing Synchronism Technique based on Critical Trajectory Method for Obtaining the CCT with Installing SCES","authors":"A. Priyadi, Talitha Pusnita Sari, I. Hafidz, M. Pujiantara, N. Yorino, M. Purnomo","doi":"10.1109/ISITIA.2018.8710958","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710958","url":null,"abstract":"Transient stability analysis become the main focus in this paper because of the importance of generator protection scheme. One of many methods to obtain CCT is critical trajectory method which can be used to determine rotor angle trajectory through a simulation before the generator loss of synchronism. Moreover, this method has a faster calculation due to the number of variables are equal with number of equation. In order to improve transient stability, Super Capacitor Energy Storage (SCES) is installed in the system. This unit stores energy in energy kinetic form that will injected in the system. IEEE 3-machine 9-bus system is used to tested this proposed method. From simulation result, the installment SCES can give higher CCT which leads to more robust systems operation in average range time 0.016 second faster. It can be concluded that the propose method can improve transient stability by installing SCES in the system.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"17 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114108122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711289
Ahlem Manal Chebihi, N. Raveu, Mohammed Tellache
The novelty of this paper is the use of LSE01 as fundamental mode, and a new modelization based on equivalent circuit method to characterize the substrate integrated non radiative waveguide bandpass filter. Results are validated by comparison with Ansys Electronics HFSS.
{"title":"Design of a SINRD bandpass filter based on equivalent circuit method","authors":"Ahlem Manal Chebihi, N. Raveu, Mohammed Tellache","doi":"10.1109/ISITIA.2018.8711289","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711289","url":null,"abstract":"The novelty of this paper is the use of LSE01 as fundamental mode, and a new modelization based on equivalent circuit method to characterize the substrate integrated non radiative waveguide bandpass filter. Results are validated by comparison with Ansys Electronics HFSS.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710857
Kurnia Prima Putra, E. M. Yuniarno, M. Purnomo
Fundamental matrix is algebraic representation of relation between two images taken from different camera position and orientation. It is often used to reconstruct 3D objects from images taken by uncalibrated cameras. On uncalibrated cameras, we have no information of focal length thus the reconstructed object is not matched to real world units. If the images are zoomed, the corresponding points in images are scaled and affect the result of reconstructed object. To avoid it, the focal length values of each image is required. During zooming process, it's impractical to do manual calibration of each frame. Self calibration could be used but it requires certain knowledge of the scene such as 3D parallel lines on the scene. This make difficult to know the focal length of image plane if the recorded scene is completely unknown. In this paper, we did focal length change estimation using information within fundamental matrix of stereo images. With this method we can reduce the process of point matching needed to reconstruct three dimensional objects. In order to solve the problem we tried to exploit the elements of fundamental matrix of stereo image pairs to obtain the estimate the value of focal length by using intrinsic parameters of minimal zoom as reference. In this paper, we managed to use fundamental matrix to estimate the changes of focal length relative to known focal length. The estimation result shows there is slight difference compared to estimation using points distance.
{"title":"Focal Length Changes Estimation on Zooming Stereo Camera using Fundamental Matrix","authors":"Kurnia Prima Putra, E. M. Yuniarno, M. Purnomo","doi":"10.1109/ISITIA.2018.8710857","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710857","url":null,"abstract":"Fundamental matrix is algebraic representation of relation between two images taken from different camera position and orientation. It is often used to reconstruct 3D objects from images taken by uncalibrated cameras. On uncalibrated cameras, we have no information of focal length thus the reconstructed object is not matched to real world units. If the images are zoomed, the corresponding points in images are scaled and affect the result of reconstructed object. To avoid it, the focal length values of each image is required. During zooming process, it's impractical to do manual calibration of each frame. Self calibration could be used but it requires certain knowledge of the scene such as 3D parallel lines on the scene. This make difficult to know the focal length of image plane if the recorded scene is completely unknown. In this paper, we did focal length change estimation using information within fundamental matrix of stereo images. With this method we can reduce the process of point matching needed to reconstruct three dimensional objects. In order to solve the problem we tried to exploit the elements of fundamental matrix of stereo image pairs to obtain the estimate the value of focal length by using intrinsic parameters of minimal zoom as reference. In this paper, we managed to use fundamental matrix to estimate the changes of focal length relative to known focal length. The estimation result shows there is slight difference compared to estimation using points distance.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710957
Yenni Tarid, Y. Wicaksono, Aditya Satria Ramadhan, A. Purwanto
One of the way to maintain power system reliability is by maintaining transmission lines reliability using Auto-reclose (AR). If fault occurred in a transmission line, then relay will ordered the transmission line to open. If the fault is temporary then after a few milliseconds the transmission line will closed again automatically due to implementation of AR. Auto-reclose employ in power system could be Single Pole Auto-reclose (SPAR) and Three Pole Auto-reclose (TPAR) depend on system necessity. Since the non-single phase temporary fault In Regional of Jawa Timur and Bali area significantly increase, then it is necessary to install TPAR in that system, especially transmission lines that serves as outlet of power plant. As known, utilization of TPAR may impact the power system transient stability, therefore this paper will analyze that effect. Study conducted in all transmission lines which are outlet of power plant in Jawa Timur and Bali system. Simulation results show that implementation of TPAR in transmission lines will influence system transient stability depends on system condition. After utilization of TPAR most of simulation scenario show that system remaining stable after the temporary fault occurred. Only one condition shows transient instability.
{"title":"Effect of Three Pole Auto-Reclose to Power System Transient Stability (Case Study: Jawa Timur and Bali System)","authors":"Yenni Tarid, Y. Wicaksono, Aditya Satria Ramadhan, A. Purwanto","doi":"10.1109/ISITIA.2018.8710957","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710957","url":null,"abstract":"One of the way to maintain power system reliability is by maintaining transmission lines reliability using Auto-reclose (AR). If fault occurred in a transmission line, then relay will ordered the transmission line to open. If the fault is temporary then after a few milliseconds the transmission line will closed again automatically due to implementation of AR. Auto-reclose employ in power system could be Single Pole Auto-reclose (SPAR) and Three Pole Auto-reclose (TPAR) depend on system necessity. Since the non-single phase temporary fault In Regional of Jawa Timur and Bali area significantly increase, then it is necessary to install TPAR in that system, especially transmission lines that serves as outlet of power plant. As known, utilization of TPAR may impact the power system transient stability, therefore this paper will analyze that effect. Study conducted in all transmission lines which are outlet of power plant in Jawa Timur and Bali system. Simulation results show that implementation of TPAR in transmission lines will influence system transient stability depends on system condition. After utilization of TPAR most of simulation scenario show that system remaining stable after the temporary fault occurred. Only one condition shows transient instability.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128077255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711076
Suwito, M. Ashari, M. Rivai, M. Mustaghfirin
This research proposes the calculation of energy used in modern drip irrigation systems with water pumps driven by Brushless DC motors. The drip irrigation systems are highly efficient in the use of water and electricity with higher quality crops. This system requires a flow of water with a certain pressure so that water dripped into the plant has a constant discharge. Pressurized water source is generated from two methods, namely overhead water tank and direct water pump. In the overhead water tank method, the amount of water pressure and energy required to provide the water depends on the amount of water discharge and the height of the tank position. In the direct water pump method, the amount of water pressure and electrical energy required depends on the speed of the pump rotation and the amount of water discharge. In this study, the direct water pump system is controlled by PI method which makes the water pressure is more stable. The simulation result indicates that irrigation system with overhead water tank requires higher energy than the direct water pump. The direct water pump method requires simple infrastructure which can operate at all required water pressure.
{"title":"Energy Consumption of Brushless DC Motor for Modern Irrigation System","authors":"Suwito, M. Ashari, M. Rivai, M. Mustaghfirin","doi":"10.1109/ISITIA.2018.8711076","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711076","url":null,"abstract":"This research proposes the calculation of energy used in modern drip irrigation systems with water pumps driven by Brushless DC motors. The drip irrigation systems are highly efficient in the use of water and electricity with higher quality crops. This system requires a flow of water with a certain pressure so that water dripped into the plant has a constant discharge. Pressurized water source is generated from two methods, namely overhead water tank and direct water pump. In the overhead water tank method, the amount of water pressure and energy required to provide the water depends on the amount of water discharge and the height of the tank position. In the direct water pump method, the amount of water pressure and electrical energy required depends on the speed of the pump rotation and the amount of water discharge. In this study, the direct water pump system is controlled by PI method which makes the water pressure is more stable. The simulation result indicates that irrigation system with overhead water tank requires higher energy than the direct water pump. The direct water pump method requires simple infrastructure which can operate at all required water pressure.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132875063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711110
T. Hendrawati, I. N. Sukaiava, K. Aryanto
We proposed a new approach of automatic image annotation (AIA) using salient object detection. Salient objects which are used for AIA are generated applying Minimum Barrier Salient Object Detection (MB) method. To improve the quality of AIA, we combined the features from salient objects and entire images by doing a weighted average. The combinations of the features were used to build a random forest (RF) classifier. The classifier was used to produce labels for the testing images. We used Corel 5K as the dataset in this work consisting of 50 categories of images. However, since the saliency approach seeks the dominant object in an image, only 25 groups of images (2500 images) with explicit objects in the image were tested in this study. The result shown that the highest accuracy was obtained when the feature was averaged, using the weight of 2/17 for the salient-object feature and 15/17 for the overall-image feature. Image labeling accuracy reached 79.89% with 95%-CI ranging between 76 to 83%. This proves our proposed approach, with the RF generated using training data in the form of a combined feature, can perform better classification than RF which uses the whole image features or RF that only uses the features of salient object.
{"title":"Automatic Image Annotation using Minimum Barrier Salient Object Detection and Random Forest","authors":"T. Hendrawati, I. N. Sukaiava, K. Aryanto","doi":"10.1109/ISITIA.2018.8711110","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711110","url":null,"abstract":"We proposed a new approach of automatic image annotation (AIA) using salient object detection. Salient objects which are used for AIA are generated applying Minimum Barrier Salient Object Detection (MB) method. To improve the quality of AIA, we combined the features from salient objects and entire images by doing a weighted average. The combinations of the features were used to build a random forest (RF) classifier. The classifier was used to produce labels for the testing images. We used Corel 5K as the dataset in this work consisting of 50 categories of images. However, since the saliency approach seeks the dominant object in an image, only 25 groups of images (2500 images) with explicit objects in the image were tested in this study. The result shown that the highest accuracy was obtained when the feature was averaged, using the weight of 2/17 for the salient-object feature and 15/17 for the overall-image feature. Image labeling accuracy reached 79.89% with 95%-CI ranging between 76 to 83%. This proves our proposed approach, with the RF generated using training data in the form of a combined feature, can perform better classification than RF which uses the whole image features or RF that only uses the features of salient object.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711227
Akbar Danar Abiwardana, G. Hendrantoro, E. Setijadi, J. Sumantyo
In developing a synthetic aperture radar onboard a satellite, one component of concern is the antenna. In designing such an antenna, the selection of material types should be considered in order for the effects of expansion and shrinkage due to drastic temperature variations not to result in significant performance changes. In this study, the effect of adoption of various material types to the antenna performance was evaluated when applied to the antenna design by incorporating the changing of dimensions caused by temperature changes through the simulation. The first step involves the making of antenna design using Solidworks, where the design for the reflector is made for various types and material designs. Then a simulated temperature change is performed to find out the change in antenna design dimension to temperature changes that approximate real operating conditions onboard satellite. After that, electromagnetic field for the antenna design before and after heat-induced expansion is simulated to learn antenna performance. Comparison of performances is done to get the best type and material design. From among several designs and types of materials selected, the simulation results show that molybdenum with gold coated design produces the best performance.
{"title":"Design and Analysis of C-Band Parabolic Antenna Materials for Synthetic Aperture Radar On-Board Microsatellite","authors":"Akbar Danar Abiwardana, G. Hendrantoro, E. Setijadi, J. Sumantyo","doi":"10.1109/ISITIA.2018.8711227","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711227","url":null,"abstract":"In developing a synthetic aperture radar onboard a satellite, one component of concern is the antenna. In designing such an antenna, the selection of material types should be considered in order for the effects of expansion and shrinkage due to drastic temperature variations not to result in significant performance changes. In this study, the effect of adoption of various material types to the antenna performance was evaluated when applied to the antenna design by incorporating the changing of dimensions caused by temperature changes through the simulation. The first step involves the making of antenna design using Solidworks, where the design for the reflector is made for various types and material designs. Then a simulated temperature change is performed to find out the change in antenna design dimension to temperature changes that approximate real operating conditions onboard satellite. After that, electromagnetic field for the antenna design before and after heat-induced expansion is simulated to learn antenna performance. Comparison of performances is done to get the best type and material design. From among several designs and types of materials selected, the simulation results show that molybdenum with gold coated design produces the best performance.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121864416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710976
Mahathir Rizky, I. Nurtanio, I. Areni
This paper aims to preserve one of the Indonesian culture, Mbojo Character. Mbojo character recognition system will be created by utilizing pattern recognition using Optical Character Recognition (OCR) technique with Shearlet Transform method for feature extraction and Support Vector Machine (SVM) for classification. Data used in this study is the image of mbojo words that consist of 2 characters typed using bimambojo.otf font with the size of 9pts for each word and with image size of 50×50 pixels. The training data uses 150 word images which represents all of Mbojo characters where each word has 3 images with 3 different positions of character placement, such as above, in the middle, and below the image field. While the testing data uses 50 word images where each of the character placed randomly in the image. All of the data were preprocessed by using grayscaling, binarization, and centering regions methods. The implementation of centering region method makes the system able to achieve accuracy up to 90%.
{"title":"Mbojo Character Recognition Using Shearlet Transform and Support Vector Machine","authors":"Mahathir Rizky, I. Nurtanio, I. Areni","doi":"10.1109/ISITIA.2018.8710976","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710976","url":null,"abstract":"This paper aims to preserve one of the Indonesian culture, Mbojo Character. Mbojo character recognition system will be created by utilizing pattern recognition using Optical Character Recognition (OCR) technique with Shearlet Transform method for feature extraction and Support Vector Machine (SVM) for classification. Data used in this study is the image of mbojo words that consist of 2 characters typed using bimambojo.otf font with the size of 9pts for each word and with image size of 50×50 pixels. The training data uses 150 word images which represents all of Mbojo characters where each word has 3 images with 3 different positions of character placement, such as above, in the middle, and below the image field. While the testing data uses 50 word images where each of the character placed randomly in the image. All of the data were preprocessed by using grayscaling, binarization, and centering regions methods. The implementation of centering region method makes the system able to achieve accuracy up to 90%.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127413543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711337
A. Rusmardiana, T. Y. Akhirina, D. Yulistyanti, U. Pauziah
Students' majors at High School (SMA) constitutes as an obligation to be carried out every year. The majors' determination at SMA, particularly at SMA in Banten, has already had its standardization. Schools that have had their standardization in majors' determination are mostly located in urban area. However, schools in such rural areas mostly have not yet conducted majors' determination for their students. It is so called as important that each school must conduct the majors for its curriculum. Commonly, the majors' determination of SMA in rural areas tends to be carried out only based on students' appetency, without considering the factors of their ability, interest, and aptitude. In our previous research, it had been conducted the comparison between Fuzzy Tsukamoto method and K-Nearest Neighbor (K-NN) method. From the research result, in accordance to the comparison's result of Fuzzy Tsukamoto method, it shows that the method is a chosen method with 99.2% level of accuracy. Besides of its high level of accuracy, the choice of Fuzzy Tsukamoto method is also based on the condition in the field, where Fuzzy Tsukamoto method can be applied in schools that have good or minimal data. The researchers also design the website application to support those schools in carrying out the majors as the application can be accessed and applied everywhere. The criteria of school majors are students' skill, interest, and aptitude. This is in line with the existing criteria in DIKNAS (National Education), because the majors are not yet online facilitated by private schools in Banten. Hence, the researchers design that support system website application to assist the school in determining the appropriate majors which will be then selected by the students.
{"title":"A Web-Based High School Major Decision Support System in Banten Using Tsukamoto's Fuzzy Method","authors":"A. Rusmardiana, T. Y. Akhirina, D. Yulistyanti, U. Pauziah","doi":"10.1109/ISITIA.2018.8711337","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711337","url":null,"abstract":"Students' majors at High School (SMA) constitutes as an obligation to be carried out every year. The majors' determination at SMA, particularly at SMA in Banten, has already had its standardization. Schools that have had their standardization in majors' determination are mostly located in urban area. However, schools in such rural areas mostly have not yet conducted majors' determination for their students. It is so called as important that each school must conduct the majors for its curriculum. Commonly, the majors' determination of SMA in rural areas tends to be carried out only based on students' appetency, without considering the factors of their ability, interest, and aptitude. In our previous research, it had been conducted the comparison between Fuzzy Tsukamoto method and K-Nearest Neighbor (K-NN) method. From the research result, in accordance to the comparison's result of Fuzzy Tsukamoto method, it shows that the method is a chosen method with 99.2% level of accuracy. Besides of its high level of accuracy, the choice of Fuzzy Tsukamoto method is also based on the condition in the field, where Fuzzy Tsukamoto method can be applied in schools that have good or minimal data. The researchers also design the website application to support those schools in carrying out the majors as the application can be accessed and applied everywhere. The criteria of school majors are students' skill, interest, and aptitude. This is in line with the existing criteria in DIKNAS (National Education), because the majors are not yet online facilitated by private schools in Banten. Hence, the researchers design that support system website application to assist the school in determining the appropriate majors which will be then selected by the students.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130155697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711117
Fadil Muhammad, Susi Juniastuti, Supeno Mardi Susiki Nugroho, M. Hariadi
Crowd simulation becomes one of the active research over the last three decade. Crowd simulation research is part of research about human behavior. One of research focus on crowd simulation was simulation at disaster evacuation. People who trapped in disaster usually has different behavior and abilities when evacuating. So the simulation looks more real, there are several simulations scenario used when disaster simulation like invariant speed and relation between virtual agents scenario. In this research will be used agent-based reciprocal velocity obstacle method. The agent-based method used because applying a microscopic approach. With agent-based method then each virtual agents can have different behavior and abilities. Optimal reciprocal collision avoidance(ORCA) which is the best version of Reciprocal velocity obstacle(RVO) used as virtual agents collision avoidance in crowds simulation. Experiment result demonstrates the simulation of hundreds of agents in a three evacuation scenario. Leader-follower relations on heterogeneous agents result in the possibility of collisions between agents getting bigger with the number of collisions is 7781 collisions. The longest simulation time is 151 seconds with the smallest FPS number is 33 FPS.
{"title":"Crowds Evacuation Simulation on Heterogeneous Agent Using Agent-Based Reciprocal Velocity Obstacle","authors":"Fadil Muhammad, Susi Juniastuti, Supeno Mardi Susiki Nugroho, M. Hariadi","doi":"10.1109/ISITIA.2018.8711117","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711117","url":null,"abstract":"Crowd simulation becomes one of the active research over the last three decade. Crowd simulation research is part of research about human behavior. One of research focus on crowd simulation was simulation at disaster evacuation. People who trapped in disaster usually has different behavior and abilities when evacuating. So the simulation looks more real, there are several simulations scenario used when disaster simulation like invariant speed and relation between virtual agents scenario. In this research will be used agent-based reciprocal velocity obstacle method. The agent-based method used because applying a microscopic approach. With agent-based method then each virtual agents can have different behavior and abilities. Optimal reciprocal collision avoidance(ORCA) which is the best version of Reciprocal velocity obstacle(RVO) used as virtual agents collision avoidance in crowds simulation. Experiment result demonstrates the simulation of hundreds of agents in a three evacuation scenario. Leader-follower relations on heterogeneous agents result in the possibility of collisions between agents getting bigger with the number of collisions is 7781 collisions. The longest simulation time is 151 seconds with the smallest FPS number is 33 FPS.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115835116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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