Pub Date : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350720
Biandina Meidyani, R. Sarno, Afina Lina Nurlaili
Time and cost optimization is a way to determine the optimal time and cost to use. Usually the faster the time the cost is more. To determine the time of peractivity used schedulling jobshop. The problem is whether the system that companies do so far is the best system or not. Activity issues include how to design some regulatory activities while minimizing total time, and total distribution costs. This problem is encountered in the case of Surabaya Container. In this paper, we discussed how to apply goal programming method to create activity model with company's constraints to obtain more optimal results. By developing a pre-existing activity model and using the help of the LINGO 11.0 program, the determination of the route with the goal programming method can be completed. The results obtained show that activity is formed with time, and the minimum cost. Moreover, in this paper will also compare the scheduling flow shop and job shop. Job shop produces less time than flow shop.
{"title":"Time and cost optimization using scheduling job shop and linear goal programming model","authors":"Biandina Meidyani, R. Sarno, Afina Lina Nurlaili","doi":"10.1109/ICOIACT.2018.8350720","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350720","url":null,"abstract":"Time and cost optimization is a way to determine the optimal time and cost to use. Usually the faster the time the cost is more. To determine the time of peractivity used schedulling jobshop. The problem is whether the system that companies do so far is the best system or not. Activity issues include how to design some regulatory activities while minimizing total time, and total distribution costs. This problem is encountered in the case of Surabaya Container. In this paper, we discussed how to apply goal programming method to create activity model with company's constraints to obtain more optimal results. By developing a pre-existing activity model and using the help of the LINGO 11.0 program, the determination of the route with the goal programming method can be completed. The results obtained show that activity is formed with time, and the minimum cost. Moreover, in this paper will also compare the scheduling flow shop and job shop. Job shop produces less time than flow shop.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"134 1","pages":"555-560"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86317677","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350674
Muhammad Nur Yasir Utomo, T. B. Adji, I. Ardiyanto
Geolocation information from social media data is essential for conducting geolocation-based analyzes such as traffic analysis and tourism analysis. However, geolocation information on social media data is still very limited. Only about 0.87% to 3% of data are geotagged data. Geolocation Prediction (GP) becomes a solution to overcome the problem. There are various approach to conduct Geolocation Prediction and each approach may give different result of location. The selection of the Geolocation Prediction approach then become important. Selected approach must be suitable for the needs of the analysis conducted. This paper focuses on reviewing geolocation prediction approaches based on text analysis in social media data. The review result shows that geolocation prediction approaches can be categorized into two categories called Content-based Geolocation Prediction and User-profiling-based Geolocation Prediction. This review further concludes that Content-based Geolocation Prediction is suitable for addressing geotagged data limitations in Location-specific Analysis because the location prediction results are specific to place-level. While combination approach is suitable to overcome the problem of geotagged data limitations on Location-distribution Analysis because it produces predictions of location at higher levels such as city-level, province-level, and country-level.
{"title":"Geolocation prediction in social media data using text analysis: A review","authors":"Muhammad Nur Yasir Utomo, T. B. Adji, I. Ardiyanto","doi":"10.1109/ICOIACT.2018.8350674","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350674","url":null,"abstract":"Geolocation information from social media data is essential for conducting geolocation-based analyzes such as traffic analysis and tourism analysis. However, geolocation information on social media data is still very limited. Only about 0.87% to 3% of data are geotagged data. Geolocation Prediction (GP) becomes a solution to overcome the problem. There are various approach to conduct Geolocation Prediction and each approach may give different result of location. The selection of the Geolocation Prediction approach then become important. Selected approach must be suitable for the needs of the analysis conducted. This paper focuses on reviewing geolocation prediction approaches based on text analysis in social media data. The review result shows that geolocation prediction approaches can be categorized into two categories called Content-based Geolocation Prediction and User-profiling-based Geolocation Prediction. This review further concludes that Content-based Geolocation Prediction is suitable for addressing geotagged data limitations in Location-specific Analysis because the location prediction results are specific to place-level. While combination approach is suitable to overcome the problem of geotagged data limitations on Location-distribution Analysis because it produces predictions of location at higher levels such as city-level, province-level, and country-level.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"14 1","pages":"84-89"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80379718","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350746
Agung Wibowo, Yuri Rahayu, A. Riyanto, Taufik Hidayatulloh
Indonesia has 13% species of mushroom in the world but there is a very limited study on determining edible or poisonous mushroom. Classification process of poisonous mushroom or not will be easily conducted by learning machine using mining data as one of the ways to extract computer assisted knowledge. Currently, there are three comparisons of the best classification algorithms in data mining, namely: Decision Tree (C4.5), NaïveBayes and Support Vector Machine (SVM). The study method used is experiment with assisted tool of WEKA that has been testing in the comparison of the three algorithms. To conduct the testing, it is used the mushroom data of Agaricus and Lepiota family. The mushroom data were taken from The Audubon Society Field Guide to North American Mushrooms, in UCI machine learning repository. Results of the testing indicate that the C4.5 algorithm has the same accuracy level to the SVM by 100% however, from the speed aspect, process of the C4.5 algorithm is faster than the SVM.
{"title":"Classification algorithm for edible mushroom identification","authors":"Agung Wibowo, Yuri Rahayu, A. Riyanto, Taufik Hidayatulloh","doi":"10.1109/ICOIACT.2018.8350746","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350746","url":null,"abstract":"Indonesia has 13% species of mushroom in the world but there is a very limited study on determining edible or poisonous mushroom. Classification process of poisonous mushroom or not will be easily conducted by learning machine using mining data as one of the ways to extract computer assisted knowledge. Currently, there are three comparisons of the best classification algorithms in data mining, namely: Decision Tree (C4.5), NaïveBayes and Support Vector Machine (SVM). The study method used is experiment with assisted tool of WEKA that has been testing in the comparison of the three algorithms. To conduct the testing, it is used the mushroom data of Agaricus and Lepiota family. The mushroom data were taken from The Audubon Society Field Guide to North American Mushrooms, in UCI machine learning repository. Results of the testing indicate that the C4.5 algorithm has the same accuracy level to the SVM by 100% however, from the speed aspect, process of the C4.5 algorithm is faster than the SVM.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"23 1","pages":"250-253"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73105717","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350663
W. Pamungkas, T. Suryani
As part of intelligent transport system (ITS) technology, vehicular ad hoc network (VANET) offers convenience coordination between moving vehicles. A moving vehicle could be move at a very high speed, producing the Doppler Effect that damages OFDM symbols and also causes inter-carrier interference (ICI). Also, the scatterer along the vehicle generates many delays in vehicle to vehicle or vehicle to infrastructure communication system. This paper discussed VANET technology in comparison with 802.11a technology as they have many differences in adapting to user's mobility. The Doppler effect resulted from user's mobility with high speed was investigated as the main parameter in this paper to deliver a better solution in subsequent research. The results of this preliminary study were the Doppler shift, multipath delay, orthogonality parameter in OFDM, power spectral density of VANET and the influence of multipath delay in power spectral density. These preliminary results could be used as a reference in the implementation of future research to resolve the Doppler effect.
{"title":"Doppler effect in VANET technology on high user's mobility","authors":"W. Pamungkas, T. Suryani","doi":"10.1109/ICOIACT.2018.8350663","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350663","url":null,"abstract":"As part of intelligent transport system (ITS) technology, vehicular ad hoc network (VANET) offers convenience coordination between moving vehicles. A moving vehicle could be move at a very high speed, producing the Doppler Effect that damages OFDM symbols and also causes inter-carrier interference (ICI). Also, the scatterer along the vehicle generates many delays in vehicle to vehicle or vehicle to infrastructure communication system. This paper discussed VANET technology in comparison with 802.11a technology as they have many differences in adapting to user's mobility. The Doppler effect resulted from user's mobility with high speed was investigated as the main parameter in this paper to deliver a better solution in subsequent research. The results of this preliminary study were the Doppler shift, multipath delay, orthogonality parameter in OFDM, power spectral density of VANET and the influence of multipath delay in power spectral density. These preliminary results could be used as a reference in the implementation of future research to resolve the Doppler effect.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"1 1","pages":"899-904"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83018712","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350670
D. Setiadi, H. Santoso, E. H. Rachmawanto, C. A. Sari
Image Steganography is a technique for hiding messages into digital images, so messages cannot be perceived by the human senses. The two most important aspects of steganography techniques are the payload capacity and imperceptibility of embedded messages. This research proposes a method to explode secret messages using divide and modulus functions so that the message capacity embedded in a digital image can increase. The divide and modulus function can also improve message security because the messages are split into two part and sent separately. One part embedded and the other is stored as a key extraction. This method is done in a spatial domain. Spatial domains are steganographic techniques performed by manipulating pixel values directly. LSB is one of the most popular spatial domains proposed in this research. To measure the quality of imperceptibility are used PSNR and MSE. Based on the experimental results of this study proved that the capacity of embedded messages can increase twofold and keep maintaining the imperceptibility quality.
{"title":"An improved message capacity and security using divide and modulus function in spatial domain steganography","authors":"D. Setiadi, H. Santoso, E. H. Rachmawanto, C. A. Sari","doi":"10.1109/ICOIACT.2018.8350670","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350670","url":null,"abstract":"Image Steganography is a technique for hiding messages into digital images, so messages cannot be perceived by the human senses. The two most important aspects of steganography techniques are the payload capacity and imperceptibility of embedded messages. This research proposes a method to explode secret messages using divide and modulus functions so that the message capacity embedded in a digital image can increase. The divide and modulus function can also improve message security because the messages are split into two part and sent separately. One part embedded and the other is stored as a key extraction. This method is done in a spatial domain. Spatial domains are steganographic techniques performed by manipulating pixel values directly. LSB is one of the most popular spatial domains proposed in this research. To measure the quality of imperceptibility are used PSNR and MSE. Based on the experimental results of this study proved that the capacity of embedded messages can increase twofold and keep maintaining the imperceptibility quality.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"25 1","pages":"186-190"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78586180","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350730
Oxsy Giandi, R. Sarno
One of smart home function is fire alert detection. The symptom detection of fire in the house is important action to prevent the mass fire and save many things. This research applies the new system of fire detection using gas leak concentration to predict the explosion and fire earlier called fire predictor and the fire appearance detector. The fire predictor just show the gas leak concentration and make an alarm rang. The fire detector use fuzzy system to make the fire detector classification. The output simulation system can send the data to MFC, but the MFC reader cannot parse it in real time.
{"title":"Prototype of fire symptom detection system","authors":"Oxsy Giandi, R. Sarno","doi":"10.1109/ICOIACT.2018.8350730","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350730","url":null,"abstract":"One of smart home function is fire alert detection. The symptom detection of fire in the house is important action to prevent the mass fire and save many things. This research applies the new system of fire detection using gas leak concentration to predict the explosion and fire earlier called fire predictor and the fire appearance detector. The fire predictor just show the gas leak concentration and make an alarm rang. The fire detector use fuzzy system to make the fire detector classification. The output simulation system can send the data to MFC, but the MFC reader cannot parse it in real time.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"82 1","pages":"489-494"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81949507","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350706
B. S. Rintyarna, R. Sarno, Arga Lancana Yuananda
Regarding the intense competition among universities, a university ranking based on certain criteria is widely carried out. There are two core criteria for producing University Ranking, namely qualitative and quantitative criteria. Commonly, the ranking is yielded from an extensive survey involving related parties. Considering the labour intensive work of providing the ranking by the survey, this work proposes to measure the quality of university based on their technology readiness level by with the ranking of universities will be provided. Technology readiness level is the maturity level of research and technology implementation adopted by the university. To obtain an academic reputation score of universities based on the technology readiness level, we investigate the content of the academic paper of universities. We assume that the abstract of the paper represents the paper content. Accordingly, we collect the paper abstract of several reputable universities in Indonesia and mine the content by using LDA-Adaboost.MH. We also introduce formula to calculate university academic reputation. In the last step, a university ranking is generated. The results is comparable with the well-known QS University Rankings by 91.6% of similarity.
{"title":"Automatic ranking system of university based on technology readiness level using LDA-Adaboost.MH","authors":"B. S. Rintyarna, R. Sarno, Arga Lancana Yuananda","doi":"10.1109/ICOIACT.2018.8350706","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350706","url":null,"abstract":"Regarding the intense competition among universities, a university ranking based on certain criteria is widely carried out. There are two core criteria for producing University Ranking, namely qualitative and quantitative criteria. Commonly, the ranking is yielded from an extensive survey involving related parties. Considering the labour intensive work of providing the ranking by the survey, this work proposes to measure the quality of university based on their technology readiness level by with the ranking of universities will be provided. Technology readiness level is the maturity level of research and technology implementation adopted by the university. To obtain an academic reputation score of universities based on the technology readiness level, we investigate the content of the academic paper of universities. We assume that the abstract of the paper represents the paper content. Accordingly, we collect the paper abstract of several reputable universities in Indonesia and mine the content by using LDA-Adaboost.MH. We also introduce formula to calculate university academic reputation. In the last step, a university ranking is generated. The results is comparable with the well-known QS University Rankings by 91.6% of similarity.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"284 1","pages":"495-499"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76849686","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350794
A. A. Fathnan, D. Powell
We design a transmission type Huygens metasur-faces by incorporating modified non-resonant structures as a unit cell element. With planar cross metal structures as middle layer and patch structure as two outer layers, metasurfaces having high transmissive characteristics can be realized. The dimension of each layer element has been optimized numerically to obtain full phase control of transmitted wave. With the combination of electric and magnetic dipoles in the metasurface unit cell, high efficiency can be obtained, while simpler patch geometry used as outer layer provide an easier fabrication procedure. The three layers of metasurface unit cell are realized by two bonded PCB substrates and three etched metallic layer, compatible with standard photo/mask etching fabrication technique.
{"title":"Design of transmissive huygens metasurface using modified cross and patch structure","authors":"A. A. Fathnan, D. Powell","doi":"10.1109/ICOIACT.2018.8350794","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350794","url":null,"abstract":"We design a transmission type Huygens metasur-faces by incorporating modified non-resonant structures as a unit cell element. With planar cross metal structures as middle layer and patch structure as two outer layers, metasurfaces having high transmissive characteristics can be realized. The dimension of each layer element has been optimized numerically to obtain full phase control of transmitted wave. With the combination of electric and magnetic dipoles in the metasurface unit cell, high efficiency can be obtained, while simpler patch geometry used as outer layer provide an easier fabrication procedure. The three layers of metasurface unit cell are realized by two bonded PCB substrates and three etched metallic layer, compatible with standard photo/mask etching fabrication technique.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"26 1","pages":"798-801"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74225897","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350748
A. Winursito, Risanuri Hidayat, Agus Bejo
In the pattern recognition system, there are many methods used. For speech recognition system, Mel Frequency Cepstral Coefficients (MFCC) becomes a popular feature extraction method but it has various weaknesses especially about the accuracy level and the high of result feature dimension of the extraction method. This paper presents the combination of MFCC feature extraction method with Principal Component Analysis (PCA) to improve the accuracy in Indonesian speech recognition system. By combining MFCC and PCA, it was expected to increase the accuracy system and reduce the feature data dimension. The result of MFCC data features extraction added with delta coefficients formed matrix data that later would be reduced using PCA. PCA method in the process of data reduction was designed to be two versions. Then the result of PCA reduction data was processed to the classification process using K-Nearest Neighbour (KNN) method. Composing the data was formed from 140 speech data that were recorded from 28 speakers. The research findings showed that adding PCA method version 1 could reduce the feature dimension from 26 to 12 by the same accuracy of speech recognition with the conventional MFCC method without PCA, that is 86.43%. Whereas PCA method version 2 could increase the accuracy of speech recognition from the conventional MFCC method without PCA in increasing from 86.43% to 89.29% and decreasing of the data dimension from 26 to 10 feature dimensions.
{"title":"Improvement of MFCC feature extraction accuracy using PCA in Indonesian speech recognition","authors":"A. Winursito, Risanuri Hidayat, Agus Bejo","doi":"10.1109/ICOIACT.2018.8350748","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350748","url":null,"abstract":"In the pattern recognition system, there are many methods used. For speech recognition system, Mel Frequency Cepstral Coefficients (MFCC) becomes a popular feature extraction method but it has various weaknesses especially about the accuracy level and the high of result feature dimension of the extraction method. This paper presents the combination of MFCC feature extraction method with Principal Component Analysis (PCA) to improve the accuracy in Indonesian speech recognition system. By combining MFCC and PCA, it was expected to increase the accuracy system and reduce the feature data dimension. The result of MFCC data features extraction added with delta coefficients formed matrix data that later would be reduced using PCA. PCA method in the process of data reduction was designed to be two versions. Then the result of PCA reduction data was processed to the classification process using K-Nearest Neighbour (KNN) method. Composing the data was formed from 140 speech data that were recorded from 28 speakers. The research findings showed that adding PCA method version 1 could reduce the feature dimension from 26 to 12 by the same accuracy of speech recognition with the conventional MFCC method without PCA, that is 86.43%. Whereas PCA method version 2 could increase the accuracy of speech recognition from the conventional MFCC method without PCA in increasing from 86.43% to 89.29% and decreasing of the data dimension from 26 to 10 feature dimensions.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"1 1","pages":"379-383"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72690085","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 : 2018-03-06DOI: 10.1109/ICOIACT.2018.8350789
Putu Virga Nanta Nugraha, S. Wibirama, Risanuri Hidayat
Subak is a Balinese social organization that regulates irrigation systems in traditional ways. Monitoring of river flow using remote sensing technology has been expected to determine new irrigation channels. In this study, we conducted water body extraction using remote sensing technology based on water indices at Yeh Unda river, Bali. Landsat 8 OLI satellite images were used as the main dataset. We used Enhanced Modified Normalized Difference Water Index (EMNDWI) based on Modified Normalized Difference Water Index (MNDWI) that has been introduced as the conventional method to extract water bodies. Experimental results from the proposed method was compared to the results of MNDWI method. The proposed method was able to detect narrow river with brown water color, although there is a bit of missed detection caused by distraction on surrounding areas like trees, bushes and shadow. The results of the extraction at the selected area show that EMNDWI is a viable method for segmentation of river with brown water colors and narrow bodies. The results of water body extraction may be used by Subak officers to build a new water management system traversed by the Yeh Unda river and to analyze overflowing in the river.
{"title":"River body extraction and classification using enhanced models of modified normalized water difference index at Yeh Unda River Bali","authors":"Putu Virga Nanta Nugraha, S. Wibirama, Risanuri Hidayat","doi":"10.1109/ICOIACT.2018.8350789","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350789","url":null,"abstract":"Subak is a Balinese social organization that regulates irrigation systems in traditional ways. Monitoring of river flow using remote sensing technology has been expected to determine new irrigation channels. In this study, we conducted water body extraction using remote sensing technology based on water indices at Yeh Unda river, Bali. Landsat 8 OLI satellite images were used as the main dataset. We used Enhanced Modified Normalized Difference Water Index (EMNDWI) based on Modified Normalized Difference Water Index (MNDWI) that has been introduced as the conventional method to extract water bodies. Experimental results from the proposed method was compared to the results of MNDWI method. The proposed method was able to detect narrow river with brown water color, although there is a bit of missed detection caused by distraction on surrounding areas like trees, bushes and shadow. The results of the extraction at the selected area show that EMNDWI is a viable method for segmentation of river with brown water colors and narrow bodies. The results of water body extraction may be used by Subak officers to build a new water management system traversed by the Yeh Unda river and to analyze overflowing in the river.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"71 1","pages":"337-342"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89987832","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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