Pub Date : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624276
M. I. Nashiruddin, Shelasih Winalisa, M. Nugraha
Batam Island is a production city that mainly connects the industrial businesses of three ASEAN countries; Indonesia, Malaysia, and Singapore. As of now, there are 17 types of industrial businesses that operate massively in Batam Island, and most of them require the Public Internet of Things (IoT) technology for their services. Therefore, it is crucial to plan a network in Batam Island that can sustain the requirements of the anticipated numerous IoT devices. This study aims to design one Low Power Wide Area Network (LPWAN) technology, namely, Random Phase Multiple Access (RPMA), to implement Public IoT services in Batam Island based on the number of sites needed on capacity and coverage planning. Furthermore, RPMA is chosen due to its ability to provide higher capacity and broader coverage than the other LPWAN technologies. This study obtained that 23 sites are needed for capacity planning, while only 15 sites are required for coverage planning. The results were then simulated using a network simulator, Forsk Atoll, to determine the best signal level received and the Signal-to-Noise Ratio (SNR) based on the most significant number of sites demanded in Batam Island. The obtained best signal level received was −69.21 dBm and SNR value of −87.87 dB. These results meet the minimum requirements for RPMA planning in Batam Island.
{"title":"Random Phase Multiple Access Network for Public Internet of Things in Batam Island","authors":"M. I. Nashiruddin, Shelasih Winalisa, M. Nugraha","doi":"10.23919/eecsi53397.2021.9624276","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624276","url":null,"abstract":"Batam Island is a production city that mainly connects the industrial businesses of three ASEAN countries; Indonesia, Malaysia, and Singapore. As of now, there are 17 types of industrial businesses that operate massively in Batam Island, and most of them require the Public Internet of Things (IoT) technology for their services. Therefore, it is crucial to plan a network in Batam Island that can sustain the requirements of the anticipated numerous IoT devices. This study aims to design one Low Power Wide Area Network (LPWAN) technology, namely, Random Phase Multiple Access (RPMA), to implement Public IoT services in Batam Island based on the number of sites needed on capacity and coverage planning. Furthermore, RPMA is chosen due to its ability to provide higher capacity and broader coverage than the other LPWAN technologies. This study obtained that 23 sites are needed for capacity planning, while only 15 sites are required for coverage planning. The results were then simulated using a network simulator, Forsk Atoll, to determine the best signal level received and the Signal-to-Noise Ratio (SNR) based on the most significant number of sites demanded in Batam Island. The obtained best signal level received was −69.21 dBm and SNR value of −87.87 dB. These results meet the minimum requirements for RPMA planning in Batam Island.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116161245","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624281
H. Yudha, T. Dewi, P. Risma, Y. Oktarina, Suci Syalifa Dwi Zara, Inda Sartika
Corn is the common agriculture product in Palembang suburban, which can be utilized to boost the income of local residents. Appropriate technology application is beneficial to improve the productivity of the household scale industry. This paper proposed an automatic corn sheller to apply appropriate technology for post-harvesting of the agriculture industry in the Palembang suburban. The corn sheller design is kept simple to ensure its repeatability. Experiments using the design test-best were conducted to show the effectiveness of the proposed method. Data results show that the sheller effectively follows the FLC design. The average total time of the shelling process is 4.7 s which is fast; therefore, it can improve the productivity of household-scale industries. The data results show that the proposed method is effective in shelling average corn found in Palembang.
{"title":"Fuzzy Logic Controller Application to an Automatic Corn Sheller","authors":"H. Yudha, T. Dewi, P. Risma, Y. Oktarina, Suci Syalifa Dwi Zara, Inda Sartika","doi":"10.23919/eecsi53397.2021.9624281","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624281","url":null,"abstract":"Corn is the common agriculture product in Palembang suburban, which can be utilized to boost the income of local residents. Appropriate technology application is beneficial to improve the productivity of the household scale industry. This paper proposed an automatic corn sheller to apply appropriate technology for post-harvesting of the agriculture industry in the Palembang suburban. The corn sheller design is kept simple to ensure its repeatability. Experiments using the design test-best were conducted to show the effectiveness of the proposed method. Data results show that the sheller effectively follows the FLC design. The average total time of the shelling process is 4.7 s which is fast; therefore, it can improve the productivity of household-scale industries. The data results show that the proposed method is effective in shelling average corn found in Palembang.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131726528","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624249
Yohannes, Wijang Widhiarso, I. Pratama
Brain tumors are a growth of abnormal cells in the intracranial tissue that can disrupt proper brain function. In general, brain tumors are classified into two main categories, benign and malignant. This research aims to classify three types of benign tumors, that are Meningioma (Mg), Glioma (Gl), and Pituitary (Pt) from MRI images. The benign tumors types are classified into four data categories, that are Mg-Gl, Mg-Pt, Gl-Pt, Mg-GI-Pt. The Feature extraction uses Discrete Wavelet Transform (DWT) and Gray Level Co-Occurrence Matrix (GLCM) variant combination as a hybrid feature for recognize and classifying benign tumors types. The classification uses Convolutional Neural Network (CNN) method with ten layers structure. From our experiments, the average accuracy value of DWT combined with four GLCM features, that are Contrast, Homogeneity, Correlation, and Energy is 78.03% in all data categories.
{"title":"Combination of DWT Variants and GLCM as a Feature for Brain Tumor Classification","authors":"Yohannes, Wijang Widhiarso, I. Pratama","doi":"10.23919/eecsi53397.2021.9624249","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624249","url":null,"abstract":"Brain tumors are a growth of abnormal cells in the intracranial tissue that can disrupt proper brain function. In general, brain tumors are classified into two main categories, benign and malignant. This research aims to classify three types of benign tumors, that are Meningioma (Mg), Glioma (Gl), and Pituitary (Pt) from MRI images. The benign tumors types are classified into four data categories, that are Mg-Gl, Mg-Pt, Gl-Pt, Mg-GI-Pt. The Feature extraction uses Discrete Wavelet Transform (DWT) and Gray Level Co-Occurrence Matrix (GLCM) variant combination as a hybrid feature for recognize and classifying benign tumors types. The classification uses Convolutional Neural Network (CNN) method with ten layers structure. From our experiments, the average accuracy value of DWT combined with four GLCM features, that are Contrast, Homogeneity, Correlation, and Energy is 78.03% in all data categories.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979181","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624303
Arif Ridho Lubis, S. Prayudani, Y. Fatmi, M. Lubis, Al-Khowarizmi
Accuracy in each forecasting is needed in order to find out how much error will occur from the forecasting results. The forecasting process is included in the data mining process, which is to convert data into new knowledge. Forecasting is also widely used by commodity business players such as CPO (Crude Palm Oil). CPO is a staple of human life so there is a need for a technique to increase the business. one of the things that can be forecasted from CPO is the price of CPO. By using the times series, it is possible to predict CPO prices. The accuracy measurement that can be used is MAPE (Mean Absolute Percentage Error) for forecasting. In the test, the time series data used is the average monthly yield of CPO prices starting from December 2010 to April 2021 as many as 125 data. In this article, we tested 60% of the training data and 40% of the test data, and the MAPE obtained was 0.03463929%, and the MAPE obtained with 80% of the training data and 20% of the test data was 0.04392103%. The result of MAPE does not seem that much different so that it can be tested in various other accuracy techniques
{"title":"MAPE accuracy of CPO Forecasting by Applying Fuzzy Time Series","authors":"Arif Ridho Lubis, S. Prayudani, Y. Fatmi, M. Lubis, Al-Khowarizmi","doi":"10.23919/eecsi53397.2021.9624303","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624303","url":null,"abstract":"Accuracy in each forecasting is needed in order to find out how much error will occur from the forecasting results. The forecasting process is included in the data mining process, which is to convert data into new knowledge. Forecasting is also widely used by commodity business players such as CPO (Crude Palm Oil). CPO is a staple of human life so there is a need for a technique to increase the business. one of the things that can be forecasted from CPO is the price of CPO. By using the times series, it is possible to predict CPO prices. The accuracy measurement that can be used is MAPE (Mean Absolute Percentage Error) for forecasting. In the test, the time series data used is the average monthly yield of CPO prices starting from December 2010 to April 2021 as many as 125 data. In this article, we tested 60% of the training data and 40% of the test data, and the MAPE obtained was 0.03463929%, and the MAPE obtained with 80% of the training data and 20% of the test data was 0.04392103%. The result of MAPE does not seem that much different so that it can be tested in various other accuracy techniques","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694707","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624308
Feisal Ramadhan Maulana, P. W. Handayani
The COVID-19 pandemic is a major challenge for the global economy and gave a negative contraction in growth. In contrast to the telecommunications sector, which experienced an increase in demand for communication networks and the internet which results in making competition to provide the best service and maintain customer satisfaction. This research involved an Indonesia Telecommunication Company which is a leading company in the telecommunications industry. The Customer Experience (CX) Satisfaction Measurement report shows the company has not been able to achieve the target in managing customer satisfaction as measured using the Net Promoter Score, especially in wholesale network services. This study evaluates the company's actual business model by carrying out digital transformation in all elements of the business model through an interview process to three sources from the Wholesale and International Services Directorate who are responsible for formulating wholesale business strategies and policies. The evaluation of the business model is carried out using the business model canvas. The benefit of this research is the formulation of a new digital business model for the company, especially the wholesale segment that supports the improvement of CX for wholesale network connectivity services. The proposed business model was validated by the Wholesale and International Services Directorate. CX improvements are carried out by simplifying the company's internal processes, offering new products/services, facilitating service delivery, and increasing the main focus on exploring customer needs. The company can use this proposal as a reference in formulating a wholesale network service transformation strategy.
{"title":"Digital Business Models Evaluation to Improve Customer Experience in A Telecommunication Company","authors":"Feisal Ramadhan Maulana, P. W. Handayani","doi":"10.23919/eecsi53397.2021.9624308","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624308","url":null,"abstract":"The COVID-19 pandemic is a major challenge for the global economy and gave a negative contraction in growth. In contrast to the telecommunications sector, which experienced an increase in demand for communication networks and the internet which results in making competition to provide the best service and maintain customer satisfaction. This research involved an Indonesia Telecommunication Company which is a leading company in the telecommunications industry. The Customer Experience (CX) Satisfaction Measurement report shows the company has not been able to achieve the target in managing customer satisfaction as measured using the Net Promoter Score, especially in wholesale network services. This study evaluates the company's actual business model by carrying out digital transformation in all elements of the business model through an interview process to three sources from the Wholesale and International Services Directorate who are responsible for formulating wholesale business strategies and policies. The evaluation of the business model is carried out using the business model canvas. The benefit of this research is the formulation of a new digital business model for the company, especially the wholesale segment that supports the improvement of CX for wholesale network connectivity services. The proposed business model was validated by the Wholesale and International Services Directorate. CX improvements are carried out by simplifying the company's internal processes, offering new products/services, facilitating service delivery, and increasing the main focus on exploring customer needs. The company can use this proposal as a reference in formulating a wholesale network service transformation strategy.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116010357","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624210
N. A. Yusri, S. M. Idrus, N. Mohamed, S. Ambran, F. Iqbal, A. Kanno, N. Shibagaki, K. Kashima, T. Kawanishi
A corner reflector is one of the best methods to calibrate a radar system. The calibration method to calculate the radar cross section of corner reflectors for viewing arbitrary aspect angles on the airport runway is proposed. This work was conducted on a real airport environment at Kuala Lumpur International Airport (KLIA). In addition, the measurement was carried out at 93.1 GHz frequency for a Frequency Modulated Continuous Wave (FM-CW) radar detection system. The backscattering characteristics of a radar target, specific development of triangular trihedral corner reflector, standard runway slope measurement, measured theoretical maximum RCS value and experiment site evaluation are presented in this paper.
{"title":"Calibration of 93.1GHz FOD Detection Radar on Airport Runway using Trihedral Corner Reflector","authors":"N. A. Yusri, S. M. Idrus, N. Mohamed, S. Ambran, F. Iqbal, A. Kanno, N. Shibagaki, K. Kashima, T. Kawanishi","doi":"10.23919/eecsi53397.2021.9624210","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624210","url":null,"abstract":"A corner reflector is one of the best methods to calibrate a radar system. The calibration method to calculate the radar cross section of corner reflectors for viewing arbitrary aspect angles on the airport runway is proposed. This work was conducted on a real airport environment at Kuala Lumpur International Airport (KLIA). In addition, the measurement was carried out at 93.1 GHz frequency for a Frequency Modulated Continuous Wave (FM-CW) radar detection system. The backscattering characteristics of a radar target, specific development of triangular trihedral corner reflector, standard runway slope measurement, measured theoretical maximum RCS value and experiment site evaluation are presented in this paper.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114188106","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624266
A. Wibawa, Rizky Eka Listanto
The rapid development of information technology and its applications with the emergence of internet media makes disseminating information more accessible, fast and creating huge data in any time. Government is one of important stakeholders that produce a big data every day. Big data is one combination with data analytics that plays an important role in data processing and new insight retrieving. In this study, text data from customers complaint regarding the services given by the Government organization namely Financial Monitoring and Development Agency was analyzed. Users can report various kinds of complaints related to the problems they experienced. In this study, new insights regarding the applications provided by the Government agency will be discussed. From the 15 thousand complaint data records, six groups of the most dominant complaint regarding the applications use were then categorized: SIMA applications, SIBIJAK applications, GDN applications, SADEWA applications, Lotus Notes, and Infrastructure. Latent Dirichlet Allocation (LDA) topic modeling with part-of-speech tagger techniques was used to disseminate information on the topics. The results showed that the SIMA application gave 52% of all complaints reports based on the method used. With the implementation of the LDA topic modeling, four topics were generated: complaints about using the SIMA application, the service and installation of the Lotus Notes and SADEWA application, and complaints related to the existing network infrastructure of Government Agency. In conclusion, inference LDA Topic modeling successfully provided insights to government organization regarding which aspects within organization that are needed to be improved.
{"title":"Complaint Data Text Analysis Concerning the Apps Provided by Government Agency using Inference LDA","authors":"A. Wibawa, Rizky Eka Listanto","doi":"10.23919/eecsi53397.2021.9624266","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624266","url":null,"abstract":"The rapid development of information technology and its applications with the emergence of internet media makes disseminating information more accessible, fast and creating huge data in any time. Government is one of important stakeholders that produce a big data every day. Big data is one combination with data analytics that plays an important role in data processing and new insight retrieving. In this study, text data from customers complaint regarding the services given by the Government organization namely Financial Monitoring and Development Agency was analyzed. Users can report various kinds of complaints related to the problems they experienced. In this study, new insights regarding the applications provided by the Government agency will be discussed. From the 15 thousand complaint data records, six groups of the most dominant complaint regarding the applications use were then categorized: SIMA applications, SIBIJAK applications, GDN applications, SADEWA applications, Lotus Notes, and Infrastructure. Latent Dirichlet Allocation (LDA) topic modeling with part-of-speech tagger techniques was used to disseminate information on the topics. The results showed that the SIMA application gave 52% of all complaints reports based on the method used. With the implementation of the LDA topic modeling, four topics were generated: complaints about using the SIMA application, the service and installation of the Lotus Notes and SADEWA application, and complaints related to the existing network infrastructure of Government Agency. In conclusion, inference LDA Topic modeling successfully provided insights to government organization regarding which aspects within organization that are needed to be improved.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128612611","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624301
Israa Al Barazanchi, Wahidah Hashim, A. Alkahtani, H. Abbas, Haider Rasheed Abdulshaheed
The science of Wireless Body Area Network (WBAN) and its overwhelming potential over medical treatment and body testing has greatly improved over the years, and with the globalization phenomenon hospitals are now able to treat their patients remotely, and medical camps have proved to be much more productive than before. This paper will focus on the existing trends and literature survey, the pre-laying architecture, and the working WBAN system, along with its networking capabilities and practical applications. With the growing need for medical treatment and healthcare, WBAN has become a necessity at treating patients, then and there as required. The usage of the WBAN systems is not only limited to the healthcare field, but also for military and space training. The WBAN ideology and the networking methods can be implemented for various fields that includes distributed networking and organizational needs. This study aims to provide a detailed overview over the varying aspects, structures, and applications that the WBAN can satiate. The ability to autonomously operate and provide sensor data from various parts of the human body and transfer the data to a geographically far or remote location for real-time accessing and support, has made WBAN a lifesaver. Also, the various parts of the WBAN system can be added and removed as per the application requires greatly providing flexibility, and in-turn provide better real-world support than any other smart systems.
{"title":"Overview of WBAN from Literature Survey to Application Implementation","authors":"Israa Al Barazanchi, Wahidah Hashim, A. Alkahtani, H. Abbas, Haider Rasheed Abdulshaheed","doi":"10.23919/eecsi53397.2021.9624301","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624301","url":null,"abstract":"The science of Wireless Body Area Network (WBAN) and its overwhelming potential over medical treatment and body testing has greatly improved over the years, and with the globalization phenomenon hospitals are now able to treat their patients remotely, and medical camps have proved to be much more productive than before. This paper will focus on the existing trends and literature survey, the pre-laying architecture, and the working WBAN system, along with its networking capabilities and practical applications. With the growing need for medical treatment and healthcare, WBAN has become a necessity at treating patients, then and there as required. The usage of the WBAN systems is not only limited to the healthcare field, but also for military and space training. The WBAN ideology and the networking methods can be implemented for various fields that includes distributed networking and organizational needs. This study aims to provide a detailed overview over the varying aspects, structures, and applications that the WBAN can satiate. The ability to autonomously operate and provide sensor data from various parts of the human body and transfer the data to a geographically far or remote location for real-time accessing and support, has made WBAN a lifesaver. Also, the various parts of the WBAN system can be added and removed as per the application requires greatly providing flexibility, and in-turn provide better real-world support than any other smart systems.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131842836","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624251
M. R. Effendi, Naufal Abyan Faruqi, N. Ismail
Growing data triggers better performance on storage systems. The type of storage and the storage system used also affect storage performance. This study aims to analyze the comparison of the performance of block storage and object storage in running a virtual environment using the Ceph storage system. Performance measurement was carried out with several tests including Input-Output per Second and Throughput. The test was carried out using 2 client nodes with an rbd bench. Based on the measurement results, the Write-type on block storage had a value of 81.02 %, while the result of the Puts-type on object storage had a value of 41.02%. This fact showed that the Write-type of the storage process in block storage was better than the Puts-type in object storage. The result of the Read-type on block storage had a value of 31.59%, while the result of the Gets-type measurement on object storage had a value of 89.71 %. This showed that Puts-type process in object storage was better than Read-type in block storage. The conditions on the Ceph server are still in good condition.
{"title":"Performance Analysis of Storage Media Cluster Using Ceph Platform","authors":"M. R. Effendi, Naufal Abyan Faruqi, N. Ismail","doi":"10.23919/eecsi53397.2021.9624251","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624251","url":null,"abstract":"Growing data triggers better performance on storage systems. The type of storage and the storage system used also affect storage performance. This study aims to analyze the comparison of the performance of block storage and object storage in running a virtual environment using the Ceph storage system. Performance measurement was carried out with several tests including Input-Output per Second and Throughput. The test was carried out using 2 client nodes with an rbd bench. Based on the measurement results, the Write-type on block storage had a value of 81.02 %, while the result of the Puts-type on object storage had a value of 41.02%. This fact showed that the Write-type of the storage process in block storage was better than the Puts-type in object storage. The result of the Read-type on block storage had a value of 31.59%, while the result of the Gets-type measurement on object storage had a value of 89.71 %. This showed that Puts-type process in object storage was better than Read-type in block storage. The conditions on the Ceph server are still in good condition.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132378081","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 : 2021-10-20DOI: 10.23919/eecsi53397.2021.9624300
Sutrisno, Widowati, R. H. Tjahjana
This paper proposed optimization-based decision-making support for solving the planning problems of raw material/product order allocation. A few parameters (prices, demand values, defective product rate, and late delivery) are uncertain and are treated as probabilistic or fuzzy depending on the data availability. Meanwhile, the parameters with historical/trial data are treated as probabilistic with some distribution functions. However, the parameters without any data are treated as fuzzy, and their corresponding membership functions are built by managers based on intuition and experience. Therefore, this study aims to determine optimal values for the decision variables, namely the number of raw materials planned to be ordered and its corresponding suppliers such that the total operational cost is expected to be minimal. These optimal decisions are calculated from the proposed optimization model in LINGO software by implementing the generalized Gradient algorithm. To evaluate and illustrate the proposed decision-making support, a numerical simulation was demonstrated. The results showed the optimal decisions were successfully attained and the expected minimal total operational cost was achieved. Furthermore, it proved that the proposed decision-making support could be implemented in manufacturing or retail industries to solve their order allocation problems.
{"title":"Optimization-based Decision-Making Support for Fuzzy and Probabilistic Order Allocation Planning","authors":"Sutrisno, Widowati, R. H. Tjahjana","doi":"10.23919/eecsi53397.2021.9624300","DOIUrl":"https://doi.org/10.23919/eecsi53397.2021.9624300","url":null,"abstract":"This paper proposed optimization-based decision-making support for solving the planning problems of raw material/product order allocation. A few parameters (prices, demand values, defective product rate, and late delivery) are uncertain and are treated as probabilistic or fuzzy depending on the data availability. Meanwhile, the parameters with historical/trial data are treated as probabilistic with some distribution functions. However, the parameters without any data are treated as fuzzy, and their corresponding membership functions are built by managers based on intuition and experience. Therefore, this study aims to determine optimal values for the decision variables, namely the number of raw materials planned to be ordered and its corresponding suppliers such that the total operational cost is expected to be minimal. These optimal decisions are calculated from the proposed optimization model in LINGO software by implementing the generalized Gradient algorithm. To evaluate and illustrate the proposed decision-making support, a numerical simulation was demonstrated. The results showed the optimal decisions were successfully attained and the expected minimal total operational cost was achieved. Furthermore, it proved that the proposed decision-making support could be implemented in manufacturing or retail industries to solve their order allocation problems.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128291184","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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