Pub Date : 1900-01-01DOI: 10.1109/ICTS.2016.7910310
Sarwosri, Dwi Sunaryono, R. Akbar, R. Setiyawan
The successfulness of poverty alleviation programs depends on the accuracy of poverty data. The government needs to collect poverty data and analyze them to determine which poverty alleviation programs should be delivered to. A data collection process is often done by conducting a survey that consists of 14 survey variables. However, raw data collected from surveys are not useful if they are presented as is. These survey data need to be processed further to support decision making. This paper presents a method to process survey data into categories using Analytic Hierarchy Process (AHP) and k-means clustering method. The categories consist of three poverty levels, such as near poor, poor, and very poor. We also present a workflow of survey and a implementation of this method to collect and process poverty data.
{"title":"Poverty classification using Analytic Hierarchy Process and k-means clustering","authors":"Sarwosri, Dwi Sunaryono, R. Akbar, R. Setiyawan","doi":"10.1109/ICTS.2016.7910310","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910310","url":null,"abstract":"The successfulness of poverty alleviation programs depends on the accuracy of poverty data. The government needs to collect poverty data and analyze them to determine which poverty alleviation programs should be delivered to. A data collection process is often done by conducting a survey that consists of 14 survey variables. However, raw data collected from surveys are not useful if they are presented as is. These survey data need to be processed further to support decision making. This paper presents a method to process survey data into categories using Analytic Hierarchy Process (AHP) and k-means clustering method. The categories consist of three poverty levels, such as near poor, poor, and very poor. We also present a workflow of survey and a implementation of this method to collect and process poverty data.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386158","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910275
Hatungimana Gervais, Daris Herumurti
Screening for Acute Leukemia is critical task just like other health diagnosis. Some computerized methods which do not need domain experts' involvement in decision making have been proposed. These methods main challenge lays in the image processing part of system design to isolate the lymphocyte from other blood cells while taking care of various morphological shapes of the lymphocytes. In this paper we propose a method to segment the lymphocyte from other white blood cells; the proposed method can take care of various shapes of lymphocytes. We use the segmented lymphocyte to extracted gray intensity features for building a classifier. The proposed method takes microscopic image as input data for processing and outputs diagnosis results saying that the patient's blood image was saint or has leukemia. The contribution brought by our proposed method is the ability to segment lymphocyte image from noisy image while maintaining both nucleoli and cytoplasm parts intact for the classification to be possible using only gray-scale intensity distribution. The experimentation resulted in 93.7% correctly classified, mean error 0.08, false positive 0.07 using Decision tree with cross-validation folds 10.
{"title":"Computer-aided screening for Acute Leukemia blood infection using gray-level intensity","authors":"Hatungimana Gervais, Daris Herumurti","doi":"10.1109/ICTS.2016.7910275","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910275","url":null,"abstract":"Screening for Acute Leukemia is critical task just like other health diagnosis. Some computerized methods which do not need domain experts' involvement in decision making have been proposed. These methods main challenge lays in the image processing part of system design to isolate the lymphocyte from other blood cells while taking care of various morphological shapes of the lymphocytes. In this paper we propose a method to segment the lymphocyte from other white blood cells; the proposed method can take care of various shapes of lymphocytes. We use the segmented lymphocyte to extracted gray intensity features for building a classifier. The proposed method takes microscopic image as input data for processing and outputs diagnosis results saying that the patient's blood image was saint or has leukemia. The contribution brought by our proposed method is the ability to segment lymphocyte image from noisy image while maintaining both nucleoli and cytoplasm parts intact for the classification to be possible using only gray-scale intensity distribution. The experimentation resulted in 93.7% correctly classified, mean error 0.08, false positive 0.07 using Decision tree with cross-validation folds 10.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624776","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910291
Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana
Crying infant is a sign of baby who has a problem. But, some people are not able to recognize the meaning of infant's cry. Several researches to recognize infant's cry sound had been done by some researchers, but there is still no research that develop an application which able to recognize type of infant's cry sound based on web. In this research, an application is developed to help users identify the sound of crying infant based on Dunstan Baby Language. The method applied in this application are Mel-Frequency Cepstral Coefficient (MFCC) feature extraction for infant's cry sound, normalization of feature extraction result, and K-nearest neighbor classification. From the various tests performed, it can be concluded that highest average accuracy of 75.95 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data and 15 percent of test data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor with k equal to 1 classification. While testing application by using all data, average accuracy of 96.57 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor k equal to 1 classification. From that test, it can be concluded that the application has been running well when classifying all types of infant's cry sound data.
{"title":"Application development for recognizing type of infant's cry sound","authors":"Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana","doi":"10.1109/ICTS.2016.7910291","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910291","url":null,"abstract":"Crying infant is a sign of baby who has a problem. But, some people are not able to recognize the meaning of infant's cry. Several researches to recognize infant's cry sound had been done by some researchers, but there is still no research that develop an application which able to recognize type of infant's cry sound based on web. In this research, an application is developed to help users identify the sound of crying infant based on Dunstan Baby Language. The method applied in this application are Mel-Frequency Cepstral Coefficient (MFCC) feature extraction for infant's cry sound, normalization of feature extraction result, and K-nearest neighbor classification. From the various tests performed, it can be concluded that highest average accuracy of 75.95 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data and 15 percent of test data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor with k equal to 1 classification. While testing application by using all data, average accuracy of 96.57 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor k equal to 1 classification. From that test, it can be concluded that the application has been running well when classifying all types of infant's cry sound data.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127786736","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910265
Dwi Al Aji Suseno, R. Sarno, Dwi Sunaryono
Bonus is a reward from company for an employee who gave the best work to the company. Reward is important to get the employee's loyalty. Basically employee want to be appreciate what they do and Company want employee's loyalty. There must be ‘win win’ solution between them. Then this paper explain how to determine bonus in Enterprise Resource Planning at Human Resource Management module based Key Performance Indicator on. There are several ways to determine bonus. the bonus is determined by how long the employee has worked at the company. It makes some disadvantages for the company, it caused no efficient human resource. The company has to give them a bonus based on years of service, not experience and skill. There is no guarantee if an employee has more years of service, then more profit the company gained. Furthermore, it can impact customer loyalty.
{"title":"Determining bonus in Enterprise Resource Planning at Human Resource Management module using Key Performance Indicator","authors":"Dwi Al Aji Suseno, R. Sarno, Dwi Sunaryono","doi":"10.1109/ICTS.2016.7910265","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910265","url":null,"abstract":"Bonus is a reward from company for an employee who gave the best work to the company. Reward is important to get the employee's loyalty. Basically employee want to be appreciate what they do and Company want employee's loyalty. There must be ‘win win’ solution between them. Then this paper explain how to determine bonus in Enterprise Resource Planning at Human Resource Management module based Key Performance Indicator on. There are several ways to determine bonus. the bonus is determined by how long the employee has worked at the company. It makes some disadvantages for the company, it caused no efficient human resource. The company has to give them a bonus based on years of service, not experience and skill. There is no guarantee if an employee has more years of service, then more profit the company gained. Furthermore, it can impact customer loyalty.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039220","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910273
A. Yuniarti, Stefanus Anggara, B. Amaliah
In this research a new android app for smartphones to smartly resize images is presented. The smart image resize method was based on a dynamic programming approach that used image edge tangent flow as the energy function to be minimized, known as flow-guided seam carving method. However, a simple but useful interface is needed in a mobile app. Therefore, we developed an interactive approach to image resizing by applying an interactive genetic algorithm. After installing the developed app on the smartphone, we asked test participants to rate the results of this approach. The usability testing results showed that the average score of this approach is higher than that using a single operator.
{"title":"Resize My Image: A mobile app for interactive image resizing using multi operator and interactive genetic algorithm","authors":"A. Yuniarti, Stefanus Anggara, B. Amaliah","doi":"10.1109/ICTS.2016.7910273","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910273","url":null,"abstract":"In this research a new android app for smartphones to smartly resize images is presented. The smart image resize method was based on a dynamic programming approach that used image edge tangent flow as the energy function to be minimized, known as flow-guided seam carving method. However, a simple but useful interface is needed in a mobile app. Therefore, we developed an interactive approach to image resizing by applying an interactive genetic algorithm. After installing the developed app on the smartphone, we asked test participants to rate the results of this approach. The usability testing results showed that the average score of this approach is higher than that using a single operator.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136902","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910279
Sarngadi Palgunadi, Dian Supraba, B. Harjito
Scheduling trains in order to minimize the traveling time is a challenging optimization problem. Delay may occur due to the bottleneck or many trains need to use the same track at the same time. These delays increase the journey time and may cause secondary delays to the other trains in the network. Double track railway scheduling can be modelled as a Job-Shop Scheduling Problem that can be achieved by considering the train trips as jobs which will be scheduled on tracks. This research is focus on scheduling trains in order to minimize the delay time. First Come First Serve (FCFS) dispatching rule is used to calculate the traveling time at each block section by sequencing the trains in order of starting time. The other rule is priority queue to solve the bottleneck problem by assigning the block section to the highest priority train. The simulation result is that the proposed model produce a less optimal schedule than the actual schedule due to the great average delays but the number of the delayed trains are less.
{"title":"Job-Shop Scheduling model for optimization of the double track railway scheduling: (Case study: Solo-Yogyakarta railway network)","authors":"Sarngadi Palgunadi, Dian Supraba, B. Harjito","doi":"10.1109/ICTS.2016.7910279","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910279","url":null,"abstract":"Scheduling trains in order to minimize the traveling time is a challenging optimization problem. Delay may occur due to the bottleneck or many trains need to use the same track at the same time. These delays increase the journey time and may cause secondary delays to the other trains in the network. Double track railway scheduling can be modelled as a Job-Shop Scheduling Problem that can be achieved by considering the train trips as jobs which will be scheduled on tracks. This research is focus on scheduling trains in order to minimize the delay time. First Come First Serve (FCFS) dispatching rule is used to calculate the traveling time at each block section by sequencing the trains in order of starting time. The other rule is priority queue to solve the bottleneck problem by assigning the block section to the highest priority train. The simulation result is that the proposed model produce a less optimal schedule than the actual schedule due to the great average delays but the number of the delayed trains are less.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686734","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910271
Fiandra Fatharany, Ridho Rahman Hariadi, D. Herumurti, A. Yuniarti
Augmented reality (AR) technology is useful for treating several psychological problems, including phobias such as fear of flying, agoraphobia, claustrophobia, and phobia to insects and small animals. However, the currently existing applications for therapy of cockroach phobia that uses AR technology are still very dependent towards the presence of markers, which might lessen the feeling of being in an actual scenario from everyday lives. In this paper, we created a system that is able to use everyday objects as a replacement for markers. There are five main processes: getting the live streaming feed from camera, preprocessing in which adaptive threshold was used as the image processing method, extracting the center point of the objects, tracking the objects, and lastly, instantiating cockroaches randomly underneath the objects. The evaluation in this paper includes eight participants that are carefully selected based on their Fear of Spiders Questionnaire (FSQ) score that is translated into Indonesian and modified to accommodate cockroaches instead of spiders. The system is able to induce a small to medium level of anxiety on participants that are measured using Standard Unit of Discomfort scale (SUDs). Meanwhile, this application has a high score for the presence and reality judgment that are measured using Slater-Usoh-Steed Questionnaire (SUS).
{"title":"Augmented reality application for cockroach phobia therapy using everyday objects as marker substitute","authors":"Fiandra Fatharany, Ridho Rahman Hariadi, D. Herumurti, A. Yuniarti","doi":"10.1109/ICTS.2016.7910271","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910271","url":null,"abstract":"Augmented reality (AR) technology is useful for treating several psychological problems, including phobias such as fear of flying, agoraphobia, claustrophobia, and phobia to insects and small animals. However, the currently existing applications for therapy of cockroach phobia that uses AR technology are still very dependent towards the presence of markers, which might lessen the feeling of being in an actual scenario from everyday lives. In this paper, we created a system that is able to use everyday objects as a replacement for markers. There are five main processes: getting the live streaming feed from camera, preprocessing in which adaptive threshold was used as the image processing method, extracting the center point of the objects, tracking the objects, and lastly, instantiating cockroaches randomly underneath the objects. The evaluation in this paper includes eight participants that are carefully selected based on their Fear of Spiders Questionnaire (FSQ) score that is translated into Indonesian and modified to accommodate cockroaches instead of spiders. The system is able to induce a small to medium level of anxiety on participants that are measured using Standard Unit of Discomfort scale (SUDs). Meanwhile, this application has a high score for the presence and reality judgment that are measured using Slater-Usoh-Steed Questionnaire (SUS).","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133437445","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910311
Gofran Sami, Wajdi Alhakami
The advancements in information and communication technologies (ICT), helps to develop the large scale systems that can be used to manage the governance matters all over the world. Although Kingdom of Saudi Arabia, has been involved in number of ongoing projects in the country where IT enabled system are planned to initiate in different sectors as part of the IT policy of the country. However the adoption of the IT enabled systems on the local level is a big challenge due to the complex structure of the developed system and poor designed of the previous systems. That requires a lot of efforts from both perspectives, the research end and the development end. One of the core area that is lacking efforts is the administration and management of the hajj pilgrims during the season of Hajj in KSA. In order to manage the large crowd during the hajj season is quite challenging especially during the hajj, this paper investigates the problems in implementing an online application as information system for Hajj Pilgrims in KSA and proposes an online hajj management system as potential solution.
{"title":"Development of an online system to manage Hajj Pilgrims in Saudi Arabia","authors":"Gofran Sami, Wajdi Alhakami","doi":"10.1109/ICTS.2016.7910311","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910311","url":null,"abstract":"The advancements in information and communication technologies (ICT), helps to develop the large scale systems that can be used to manage the governance matters all over the world. Although Kingdom of Saudi Arabia, has been involved in number of ongoing projects in the country where IT enabled system are planned to initiate in different sectors as part of the IT policy of the country. However the adoption of the IT enabled systems on the local level is a big challenge due to the complex structure of the developed system and poor designed of the previous systems. That requires a lot of efforts from both perspectives, the research end and the development end. One of the core area that is lacking efforts is the administration and management of the hajj pilgrims during the season of Hajj in KSA. In order to manage the large crowd during the hajj season is quite challenging especially during the hajj, this paper investigates the problems in implementing an online application as information system for Hajj Pilgrims in KSA and proposes an online hajj management system as potential solution.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132785413","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910278
William Yaputra Budiman, H. Tjandrasa, D. A. Navastara
Brain Computer Interface, defined as a direct communication pathway between human brain and computer, allows a system to get the intention of the brain via Electroencephalogram (EEG) signals. This mechanism thus does not involve the participation of motoric and muscular neurons. In recent progresses, things such as the variability of imagery activities and subject characteristics were found to be the main problems toward the development of reliable signal translation methods. In this paper, we propose an EEG signal translation system based on motoric imagery activities. The system includes band-pass filter and Common Spatial Pattern (CSP) for noise filtering and Principle Component Analysis (PCA) for feature extraction. Interval Type-2 Fuzzy Logic System is then used as the classifier for the produced features. The later identified classes, either 0 or 1, refer to the imagery cursor movement direction either upward or downward respectively. The training and testing data that used here are from BCI Competition II dataset 1a. The highest classification accuracy of the system was recorded at 85.2%.
{"title":"Classification of EEG signals using Common Spatial Pattern-Principle Component Analysis and Interval Type-2 Fuzzy Logic System","authors":"William Yaputra Budiman, H. Tjandrasa, D. A. Navastara","doi":"10.1109/ICTS.2016.7910278","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910278","url":null,"abstract":"Brain Computer Interface, defined as a direct communication pathway between human brain and computer, allows a system to get the intention of the brain via Electroencephalogram (EEG) signals. This mechanism thus does not involve the participation of motoric and muscular neurons. In recent progresses, things such as the variability of imagery activities and subject characteristics were found to be the main problems toward the development of reliable signal translation methods. In this paper, we propose an EEG signal translation system based on motoric imagery activities. The system includes band-pass filter and Common Spatial Pattern (CSP) for noise filtering and Principle Component Analysis (PCA) for feature extraction. Interval Type-2 Fuzzy Logic System is then used as the classifier for the produced features. The later identified classes, either 0 or 1, refer to the imagery cursor movement direction either upward or downward respectively. The training and testing data that used here are from BCI Competition II dataset 1a. The highest classification accuracy of the system was recorded at 85.2%.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126957481","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 : 1900-01-01DOI: 10.1109/ICTS.2016.7910289
Agus Hadi Prayitno, A. Wibawa, M. Purnomo
Diabetes Mellitus is now becoming a mass silent killer in the society because it does not show any signs previously to the patients until it has been in the dangerous level. Most people just realize their diabetic condition when the stage was already too late. In many cases, Diabetes Mellitus causes many complications to other organs, such as kidney, cardiovascular, liver or blood pressure. This study is analyzing the early stage of kidney complication caused by Diabetes Mellitus by analyzing iris image of the patient. Nowadays, there have been several tools that can be used to analyze the condition of patient kidney including blood test. However, a new approach is needed for a faster, simpler and non-invasive detection system. Iridology is a new branch of science that studying the condition of human organ via iris image. Based on Iridology, the structures of iris fibers are relating to the condition of certain organ in human body. This study is exploring the relationship of Kidney organ complication with the iris fibers structures (image of iris) and validated the result with patient's medical records. An existing iris chart introduced by Bernard Jensen was used to analyze the Kidney organ condition. The location of kidney organ in iris is at 200° – 210° when image of iris was devided by 360°. Image of iris was taken by using a specific iris camera. Region of interest (ROI) was then determined by using the iris chart. Color constancy and independent component analysis were used to analize the ROI of iris image. Broken tissue in iris image would be the feature for detecting the complication of kidney organ. From 47 participants, the result showed that 76% of participants showing a relation of kidney' complication with their iris image. This result conclude that iris image analysis can be used as an alternative way in monitoring the condition of internal organ such as kidney's complication.
{"title":"Early detection study of Kidney Organ Complication caused by Diabetes Mellitus using iris image color constancy","authors":"Agus Hadi Prayitno, A. Wibawa, M. Purnomo","doi":"10.1109/ICTS.2016.7910289","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910289","url":null,"abstract":"Diabetes Mellitus is now becoming a mass silent killer in the society because it does not show any signs previously to the patients until it has been in the dangerous level. Most people just realize their diabetic condition when the stage was already too late. In many cases, Diabetes Mellitus causes many complications to other organs, such as kidney, cardiovascular, liver or blood pressure. This study is analyzing the early stage of kidney complication caused by Diabetes Mellitus by analyzing iris image of the patient. Nowadays, there have been several tools that can be used to analyze the condition of patient kidney including blood test. However, a new approach is needed for a faster, simpler and non-invasive detection system. Iridology is a new branch of science that studying the condition of human organ via iris image. Based on Iridology, the structures of iris fibers are relating to the condition of certain organ in human body. This study is exploring the relationship of Kidney organ complication with the iris fibers structures (image of iris) and validated the result with patient's medical records. An existing iris chart introduced by Bernard Jensen was used to analyze the Kidney organ condition. The location of kidney organ in iris is at 200° – 210° when image of iris was devided by 360°. Image of iris was taken by using a specific iris camera. Region of interest (ROI) was then determined by using the iris chart. Color constancy and independent component analysis were used to analize the ROI of iris image. Broken tissue in iris image would be the feature for detecting the complication of kidney organ. From 47 participants, the result showed that 76% of participants showing a relation of kidney' complication with their iris image. This result conclude that iris image analysis can be used as an alternative way in monitoring the condition of internal organ such as kidney's complication.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111168","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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