Pub Date : 2018-12-01DOI: 10.21924/CST.3.2.2018.101
A. Chafidz, Thonthowy Jauhary, M. Kaavessina, S. Sumarno, F. Latief
This paper will discuss about the utilization of supercritical fluid (SCF) process to produce fine particles. Supercritical fluids (SCFs) process can be considered as an emerging “clean” technology for the production of small-size or fine particles (e.g. micron-size). Microsphere is a material in micron scale which has been widely used as adsorbent, catalyst support, and drug delivery system. For advanced application, those materials are formulated in the form of porous microspheres. There are several methods that can be used using SCFs. Those method are, Rapid Expansion of Supercritical Solution (RESS), Gas Anti-Solvent/Supercritical Anti-Solvent (GAS/ SAS), Aerosol Solvent Extraction System (ASES), dan Solution Enhanced Dispersion by Supercritical Fluids (SEDS) and Particle from Gas-Saturated Solutions/Suspensions (PGSS). Considering the morphology of material which will be used to prepare microsphere, each of methods above has specific advantages and disadvantages toward the material. Based on the literatures, the ASES method is more likely to produce porous microparticles (microspheres). In the ASES method, porous microsphere formation is the result of interactions between: degrees of supersaturation, nucleation velocity and crystal growth.
{"title":"Formation of fine particles using supercritical fluid (SCF) process: Short review","authors":"A. Chafidz, Thonthowy Jauhary, M. Kaavessina, S. Sumarno, F. Latief","doi":"10.21924/CST.3.2.2018.101","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.101","url":null,"abstract":"This paper will discuss about the utilization of supercritical fluid (SCF) process to produce fine particles. Supercritical fluids (SCFs) process can be considered as an emerging “clean” technology for the production of small-size or fine particles (e.g. micron-size). Microsphere is a material in micron scale which has been widely used as adsorbent, catalyst support, and drug delivery system. For advanced application, those materials are formulated in the form of porous microspheres. There are several methods that can be used using SCFs. Those method are, Rapid Expansion of Supercritical Solution (RESS), Gas Anti-Solvent/Supercritical Anti-Solvent (GAS/ SAS), Aerosol Solvent Extraction System (ASES), dan Solution Enhanced Dispersion by Supercritical Fluids (SEDS) and Particle from Gas-Saturated Solutions/Suspensions (PGSS). Considering the morphology of material which will be used to prepare microsphere, each of methods above has specific advantages and disadvantages toward the material. Based on the literatures, the ASES method is more likely to produce porous microparticles (microspheres). In the ASES method, porous microsphere formation is the result of interactions between: degrees of supersaturation, nucleation velocity and crystal growth.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123632227","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 : 2018-12-01DOI: 10.21924/CST.3.2.2018.96
M. Putra, N. A. Setiawan, S. Wibirama
Selection of wart treatment method using machine learning is being a concern to researchers. Machine learning is expected to select the treatment of warts such as cryotherapy and immunotherapy to patients appropriately. In this study, the data used were cryotherapy and immunotherapy datasets. This study aims to improve the accuracy of wart treatment selection with machine learning. Previously, there are several algorithms have been proposed which were able to provide good accuracy in this case. However, the existing results still need improvement to achieve better level of accuracy so that treatment selection can satisfy the patients. The purpose of this study is to increase the accuracy by improving the performance of weak learner algorithm of ensemble machine learning. AdaBoost is used in this study as a strong learner and Random Forest (RF) is used as a weak learner. Furthermore, stratified 10-fold cross validation is used to evaluate the proposed algorithm. The experimental results show accuracy of 96.6% and 91.1% in cryotherapy and immunotherapy respectively.
{"title":"Wart treatment method selection using AdaBoost with random forests as a weak learner","authors":"M. Putra, N. A. Setiawan, S. Wibirama","doi":"10.21924/CST.3.2.2018.96","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.96","url":null,"abstract":"Selection of wart treatment method using machine learning is being a concern to researchers. Machine learning is expected to select the treatment of warts such as cryotherapy and immunotherapy to patients appropriately. In this study, the data used were cryotherapy and immunotherapy datasets. This study aims to improve the accuracy of wart treatment selection with machine learning. Previously, there are several algorithms have been proposed which were able to provide good accuracy in this case. However, the existing results still need improvement to achieve better level of accuracy so that treatment selection can satisfy the patients. The purpose of this study is to increase the accuracy by improving the performance of weak learner algorithm of ensemble machine learning. AdaBoost is used in this study as a strong learner and Random Forest (RF) is used as a weak learner. Furthermore, stratified 10-fold cross validation is used to evaluate the proposed algorithm. The experimental results show accuracy of 96.6% and 91.1% in cryotherapy and immunotherapy respectively.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115832288","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 : 2018-12-01DOI: 10.21924/CST.3.2.2018.91
Aditya Abdulmunaf Rosnah, Yunarso Anang
Statistics Indonesia, known in Indonesia as Badan Pusat Statistik (BPS), has conducted a series of trials to utilize Computer-Assisted Personal Interview (CAPI) in a census or survey. However, CAPI costs a lot of money to procure and maintain the device. Bring Your Own Device (BYOD) principle offers cost opportunity to device management. In the practice of BYOD in BPS, a device that has good performance is required, because some devices aren’t capable of running CAPI properly. Yet, in BPS there is no standard value to qualify mobile devices to be used in census or survey. Therefore, it is necessary to review what kind of device is suitable for using CAPI. This study utilized CAPI used in a student’s field study as a case study reference. Initially, researchers develop benchmark applications as a tool for feasibility. Furthermore, developed application is tested on a certain base device to calculate the scores to be used as the standard values.
印尼统计局，在印尼被称为Badan Pusat Statistics (BPS)，已经进行了一系列在人口普查或调查中使用计算机辅助个人访谈(CAPI)的试验。然而，CAPI需要花费大量资金来购买和维护该设备。自带设备(BYOD)原则为设备管理提供了成本机会。在BPS的BYOD实践中，由于有些设备无法正常运行CAPI，因此需要性能良好的设备。然而，在BPS中，没有一个标准值来限定移动设备在人口普查或调查中的使用。因此，有必要审查什么样的设备适合使用CAPI。本研究利用学生实地研究中使用的CAPI作为案例研究参考。最初，研究人员开发基准应用程序作为可行性的工具。此外，开发的应用程序在一定的基础设备上进行测试，以计算作为标准值的分数。
{"title":"A proposal of system for device capability assessment in bring your own device (BYOD) environment of computer assisted personal interviewing","authors":"Aditya Abdulmunaf Rosnah, Yunarso Anang","doi":"10.21924/CST.3.2.2018.91","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.91","url":null,"abstract":"Statistics Indonesia, known in Indonesia as Badan Pusat Statistik (BPS), has conducted a series of trials to utilize Computer-Assisted Personal Interview (CAPI) in a census or survey. However, CAPI costs a lot of money to procure and maintain the device. Bring Your Own Device (BYOD) principle offers cost opportunity to device management. In the practice of BYOD in BPS, a device that has good performance is required, because some devices aren’t capable of running CAPI properly. Yet, in BPS there is no standard value to qualify mobile devices to be used in census or survey. Therefore, it is necessary to review what kind of device is suitable for using CAPI. This study utilized CAPI used in a student’s field study as a case study reference. Initially, researchers develop benchmark applications as a tool for feasibility. Furthermore, developed application is tested on a certain base device to calculate the scores to be used as the standard values.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130538096","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 : 2018-12-01DOI: 10.21924/CST.3.2.2018.82
Febry Putra Rochim, H. A. Nugroho, N. A. Setiawan
Malarial Retinopathy (MR) is indicated by retina alteration such as white dots occurrence which is caused by malaria. Leak detection is a key factor of MR’s early diagnosis. Inconsistent size and shape of the leakages with the colour contrast that relatively similar with the background. Leak detection’s algorithm is one of the most complex algorithms on the fundus image analysis field. Therefore, improving performance in the leakage detection is essential. This study focuses on automated leakage detection on fluorescein angiography (FA) images. The methods used in this study are vessel segmentation, saliency detection, phase stretch transform (PST), optic disk removal and leak detection to extract some features which then classified to correctly validate the leak. From 20 patient data large focal leak images with 31 leak points, 28 of them have been correctly detected. So, the experiment produced the accuracy and specificity of 0.98 and 0.9, respectively. With the proposed method of this study, there is a potential to enhance the knowledge on MR field in the future.
{"title":"Leak detection optimisation on retina fluorescein angiography images using phase stretch transform for malaria retinopathy","authors":"Febry Putra Rochim, H. A. Nugroho, N. A. Setiawan","doi":"10.21924/CST.3.2.2018.82","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.82","url":null,"abstract":"Malarial Retinopathy (MR) is indicated by retina alteration such as white dots occurrence which is caused by malaria. Leak detection is a key factor of MR’s early diagnosis. Inconsistent size and shape of the leakages with the colour contrast that relatively similar with the background. Leak detection’s algorithm is one of the most complex algorithms on the fundus image analysis field. Therefore, improving performance in the leakage detection is essential. This study focuses on automated leakage detection on fluorescein angiography (FA) images. The methods used in this study are vessel segmentation, saliency detection, phase stretch transform (PST), optic disk removal and leak detection to extract some features which then classified to correctly validate the leak. From 20 patient data large focal leak images with 31 leak points, 28 of them have been correctly detected. So, the experiment produced the accuracy and specificity of 0.98 and 0.9, respectively. With the proposed method of this study, there is a potential to enhance the knowledge on MR field in the future.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706559","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 : 2018-12-01DOI: 10.21924/CST.3.2.2018.103
H. M. Taki, M. Maatouk
the community. However, there are a few problems along with these advancements, such as the ineffectiveness of modes and networks as well as the inefficiencies of time and cost. Therefore, this paper aims to promote the application of Transit-Oriented Development (TOD) based on typology from existing stations in the Jakarta Metropolitan Region (JMR), Indonesia. It is expected to be able to create a public transport system that is integrated with the needs of the community. It makes easy access to achieve their travel destinations. This paper uses spatial analysis to determine the various TOD typology by involving many variables and indicators. It also creates a spatial model and applies it to transport planning in the JMR. The results obtained are three typologies of TOD namely Regional, Urban and Suburban. All types of TOD scattered in JMR and it has a trend pattern. TOD Regional located in the central core of the JMR, Urban TOD in the center and suburban TOD outside the center. This study is very helpful in guide transportation planning where several stations and railways intersect with future projects such as LRT, MRT, and BRT. It is expected to improve an integrated and sustainable transport planning.
{"title":"Promoting transit oriented development typology in the transportation planning","authors":"H. M. Taki, M. Maatouk","doi":"10.21924/CST.3.2.2018.103","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.103","url":null,"abstract":"the community. However, there are a few problems along with these advancements, such as the ineffectiveness of modes and networks as well as the inefficiencies of time and cost. Therefore, this paper aims to promote the application of Transit-Oriented Development (TOD) based on typology from existing stations in the Jakarta Metropolitan Region (JMR), Indonesia. It is expected to be able to create a public transport system that is integrated with the needs of the community. It makes easy access to achieve their travel destinations. This paper uses spatial analysis to determine the various TOD typology by involving many variables and indicators. It also creates a spatial model and applies it to transport planning in the JMR. The results obtained are three typologies of TOD namely Regional, Urban and Suburban. All types of TOD scattered in JMR and it has a trend pattern. TOD Regional located in the central core of the JMR, Urban TOD in the center and suburban TOD outside the center. This study is very helpful in guide transportation planning where several stations and railways intersect with future projects such as LRT, MRT, and BRT. It is expected to improve an integrated and sustainable transport planning.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126219576","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 : 2018-12-01DOI: 10.21924/CST.3.2.2018.86
Rama Rizana, Wael K. M. Alhajyaseen
Percent Time Spent Following (PTSF) is used by the Highway Capacity Manual (HCM) as one of the service measures to assess the level-of-service of two-lane highways since the 2000 edition. But, the problem facing to estimate this parameter is that the difficulty to measure it directly in the field. From several studies, it is known that the HCM analytical procedures applied in PTSF estimation produces inconsistent results with the 3 s surrogate measure and most of them are overestimate. This paper presents a review on estimating PTSF on two-lane highways from several studies that adopted HCM procedures.
{"title":"A mini review on percent time-spent-following (PTSF) as the service measure for two-lane highways","authors":"Rama Rizana, Wael K. M. Alhajyaseen","doi":"10.21924/CST.3.2.2018.86","DOIUrl":"https://doi.org/10.21924/CST.3.2.2018.86","url":null,"abstract":"Percent Time Spent Following (PTSF) is used by the Highway Capacity Manual (HCM) as one of the service measures to assess the level-of-service of two-lane highways since the 2000 edition. But, the problem facing to estimate this parameter is that the difficulty to measure it directly in the field. From several studies, it is known that the HCM analytical procedures applied in PTSF estimation produces inconsistent results with the 3 s surrogate measure and most of them are overestimate. This paper presents a review on estimating PTSF on two-lane highways from several studies that adopted HCM procedures.","PeriodicalId":427501,"journal":{"name":"Communication in Science and Technology","volume":"3 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114009384","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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