Pub Date : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318819
Anisah Andini, B. E. Manurung, Marvel Sugi, Septasia Dwi Angfika, S. Harimurti, W. Adiprawita, Isa Anshori
This paper presents the application of machine learning on gene expression datasets in order to classify cancer cells. Several analytical methods, including Principal Component Analysis (PCA), Support Vector Machine (SVM), Gradient Boosting, and XGBoost are performed to find the best model for processing the datasets. Additionally, classification with hyperparameter tuning using GridSearch and RandomSearch are also performed. The dataset is obtained from the study published by Golub et al [1]. They reported how new cases of cancer could be classified by gene expression monitoring via DNA microarray and thereby provided a general approach in identifying new classes of cancer and assigning tumors to the existing and known classes. The datasets were used to classify patients diagnosed with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). These datasets contain measurements in correspond to ALL and AML data samples from Bone Marrow and Peripheral Blood. Based on the simulation results, PCA with K-Nearest Neighbor shows the best result by providing 82% of classification accuracy.
{"title":"Pattern Recognition using Machine Learning for Cancer Classification","authors":"Anisah Andini, B. E. Manurung, Marvel Sugi, Septasia Dwi Angfika, S. Harimurti, W. Adiprawita, Isa Anshori","doi":"10.1109/APCoRISE46197.2019.9318819","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318819","url":null,"abstract":"This paper presents the application of machine learning on gene expression datasets in order to classify cancer cells. Several analytical methods, including Principal Component Analysis (PCA), Support Vector Machine (SVM), Gradient Boosting, and XGBoost are performed to find the best model for processing the datasets. Additionally, classification with hyperparameter tuning using GridSearch and RandomSearch are also performed. The dataset is obtained from the study published by Golub et al [1]. They reported how new cases of cancer could be classified by gene expression monitoring via DNA microarray and thereby provided a general approach in identifying new classes of cancer and assigning tumors to the existing and known classes. The datasets were used to classify patients diagnosed with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). These datasets contain measurements in correspond to ALL and AML data samples from Bone Marrow and Peripheral Blood. Based on the simulation results, PCA with K-Nearest Neighbor shows the best result by providing 82% of classification accuracy.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348636","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318973
L. Sastrawidjaja, M. Suryanegara
The soon-to-be allocated 5G mobile technology using a 3.5 GHz frequency band has posed challenges because the spectrum of 3.5 GHz has utilized satellite services. By examining the case of Indonesia, this paper aims to investigate the social and economic aspects of two scenarios, i.e., implementing 5G using 3.5 GHz or retaining the use of the satellite for 3.5 GHz. The technological management method developed by Kano Models was used to assess the social aspect, and the net benefit was calculated to assess the economic aspect. The findings indicated that most existing services offered via satellite are in the attractive category, meaning that if such satellite services are eliminated, the market will not change significantly; however, implementing 5G at the frequency of 3.5 GHz would increase economic value due to the much higher license fee paid by the operators to the government.
{"title":"Social and economic aspects when allocating a 3.5 GHz frequency band for 5G Mobile in Indonesia","authors":"L. Sastrawidjaja, M. Suryanegara","doi":"10.1109/APCoRISE46197.2019.9318973","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318973","url":null,"abstract":"The soon-to-be allocated 5G mobile technology using a 3.5 GHz frequency band has posed challenges because the spectrum of 3.5 GHz has utilized satellite services. By examining the case of Indonesia, this paper aims to investigate the social and economic aspects of two scenarios, i.e., implementing 5G using 3.5 GHz or retaining the use of the satellite for 3.5 GHz. The technological management method developed by Kano Models was used to assess the social aspect, and the net benefit was calculated to assess the economic aspect. The findings indicated that most existing services offered via satellite are in the attractive category, meaning that if such satellite services are eliminated, the market will not change significantly; however, implementing 5G at the frequency of 3.5 GHz would increase economic value due to the much higher license fee paid by the operators to the government.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130062155","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318818
Mutia A. Paramesti, A. F. Prawiningrum, Akhmad D.H. Syababa, H. R. Munggaran, S. Harimurti, W. Adiprawita, Isa Anshori, Indria Herman
Most of old people usually suffer from a lower back pain. The main problem of this pain is the long recovery time. Some patients may be fully recovered from lower back pain for even years. Therefore, a preventive action is needed to be developed to prevent the lower back pain gets worsening. This paper presents a comparative study of lower back pain classification method using machine learning technique. The classification is performed using several algorithms. Moreover, a performance tuning using Grid Search method is also conducted. The results show that K-Nearest Neighbor algorithms provide the best classification accuracy as high as 87.2%. However, after tuning, the best classification accuracy as high as 86.7% obtained by using logistic regression classifier.
{"title":"Lower Back Pain Classification Using Machine Learning","authors":"Mutia A. Paramesti, A. F. Prawiningrum, Akhmad D.H. Syababa, H. R. Munggaran, S. Harimurti, W. Adiprawita, Isa Anshori, Indria Herman","doi":"10.1109/APCoRISE46197.2019.9318818","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318818","url":null,"abstract":"Most of old people usually suffer from a lower back pain. The main problem of this pain is the long recovery time. Some patients may be fully recovered from lower back pain for even years. Therefore, a preventive action is needed to be developed to prevent the lower back pain gets worsening. This paper presents a comparative study of lower back pain classification method using machine learning technique. The classification is performed using several algorithms. Moreover, a performance tuning using Grid Search method is also conducted. The results show that K-Nearest Neighbor algorithms provide the best classification accuracy as high as 87.2%. However, after tuning, the best classification accuracy as high as 86.7% obtained by using logistic regression classifier.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128931190","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318828
Ahmad Habbie Thias, Isca Amanda, Jessika, N. A. Fitri, R. R. Althof, S. Harimurti, W. Adiprawita, Isa Anshori
Early detection for Parkinson's Disease (PD) can be realized by investigating the speech abnormalities of the patient. Utilizing machine learning approach, PD can be well diagnosed by investigating its speech features. Oxford Parkinson's Disease (OPD) dataset, containing pieces of PD patients' speech and normal speech was used in this study. The investigated algorithms that were tested are Support Vector Machine, K-Nearest Neighbor, Linear Discriminant Analysis, Gradient Boost, Multi-layer Perceptron, and Decision Tree. The performance evaluation of all these methods is based on accuracy, precision, recall, and F1 score. Based on the evaluation, the most suitable algorithm for PD case is Multilayer Perceptron with the accuracy of 95.92% without data scaling.
{"title":"Preliminary Study on Machine Learning Application for Parkinson's Disease Diagnosis","authors":"Ahmad Habbie Thias, Isca Amanda, Jessika, N. A. Fitri, R. R. Althof, S. Harimurti, W. Adiprawita, Isa Anshori","doi":"10.1109/APCoRISE46197.2019.9318828","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318828","url":null,"abstract":"Early detection for Parkinson's Disease (PD) can be realized by investigating the speech abnormalities of the patient. Utilizing machine learning approach, PD can be well diagnosed by investigating its speech features. Oxford Parkinson's Disease (OPD) dataset, containing pieces of PD patients' speech and normal speech was used in this study. The investigated algorithms that were tested are Support Vector Machine, K-Nearest Neighbor, Linear Discriminant Analysis, Gradient Boost, Multi-layer Perceptron, and Decision Tree. The performance evaluation of all these methods is based on accuracy, precision, recall, and F1 score. Based on the evaluation, the most suitable algorithm for PD case is Multilayer Perceptron with the accuracy of 95.92% without data scaling.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126081016","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318871
Sabrina, S. Wibirama, I. Ardiyanto
There are various challenges of detecting pupil during eye tracking, such as changing illumination conditions, occlusion of eyelashes or eyelids, obstruction of prescription glasses, poorly recorded images, highly off-axial positions, and so forth. Prior state-of-the-art method namely ExCuSe undertakes these problems based on analysis of histogram intensity. However, ExCuSe fails to analyze some pupil images with poor illumination and light reflection occlusion caused by prescription glasses. To overcome this problem, this research proposes an improvement in ExCuSe by incorporating two image filtering techniques in the preprocessing step. The median filter is utilized to diminish noise while the guided filter is implemented to preserve edges in the image. We evaluated the improved and the state-of-the-art algorithm on over 16,000 hand-labeled images in three data sets that contain eyeglass occlusions. The experimental result of data set III shows that the proposed method significantly outperformed the state-of-the-art algorithm with a 22.53% higher detection rate (p<0.05). Although implementation on the other two data sets did not achieve a statistically significant result, the overall performance of the proposed method was still better than the state-of-the-art algorithm. Our study indicates that the proposed method is more sophisticated to handle poor illumination and light reflection occlusion compared with the prior state-of-the-art technique. In future, the proposed pupil detection method can be implemented in an eye tracker for interactive systems as well as for passive monitoring system.
{"title":"An Improved Pupil Detection Method under Eyeglass Occlusions","authors":"Sabrina, S. Wibirama, I. Ardiyanto","doi":"10.1109/APCoRISE46197.2019.9318871","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318871","url":null,"abstract":"There are various challenges of detecting pupil during eye tracking, such as changing illumination conditions, occlusion of eyelashes or eyelids, obstruction of prescription glasses, poorly recorded images, highly off-axial positions, and so forth. Prior state-of-the-art method namely ExCuSe undertakes these problems based on analysis of histogram intensity. However, ExCuSe fails to analyze some pupil images with poor illumination and light reflection occlusion caused by prescription glasses. To overcome this problem, this research proposes an improvement in ExCuSe by incorporating two image filtering techniques in the preprocessing step. The median filter is utilized to diminish noise while the guided filter is implemented to preserve edges in the image. We evaluated the improved and the state-of-the-art algorithm on over 16,000 hand-labeled images in three data sets that contain eyeglass occlusions. The experimental result of data set III shows that the proposed method significantly outperformed the state-of-the-art algorithm with a 22.53% higher detection rate (p<0.05). Although implementation on the other two data sets did not achieve a statistically significant result, the overall performance of the proposed method was still better than the state-of-the-art algorithm. Our study indicates that the proposed method is more sophisticated to handle poor illumination and light reflection occlusion compared with the prior state-of-the-art technique. In future, the proposed pupil detection method can be implemented in an eye tracker for interactive systems as well as for passive monitoring system.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123448857","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318789
A. P. Purnomoadi, G. Supriyadi, B. S. Munir
An energy meter should continuously provide a good-accuracy as any deviation contributes to the company (or customer) loss. One approach to estimate the reliability of the meter is through the accelerated reliability testing. During the test, samples are tested inside a climatic-chamber with humidity and temperature above the operating conditions. The known testing procedures based on the IEC 62059-31-1:2008, however, is time-consuming. Some reasons are due to the daily-interval checking for all samples and the combination number of over-stresses in the test. For these reasons, the PLN proposed an alternative method by which it employs only the maximum temperature and humidity overstresses with a Weibull fitting-distribution. The method simplifies the former IEC method. It also gives benefit by allowing a modification on the duration and the number of samples based on the reliability target and the confidence level. With this approach, the length of the test reduces to about 20% in comparison to a full test recommended by the IEC.
{"title":"An Alternative Method for Accelerated Reliability Testing of Energy Meter in PLN Indonesia","authors":"A. P. Purnomoadi, G. Supriyadi, B. S. Munir","doi":"10.1109/APCoRISE46197.2019.9318789","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318789","url":null,"abstract":"An energy meter should continuously provide a good-accuracy as any deviation contributes to the company (or customer) loss. One approach to estimate the reliability of the meter is through the accelerated reliability testing. During the test, samples are tested inside a climatic-chamber with humidity and temperature above the operating conditions. The known testing procedures based on the IEC 62059-31-1:2008, however, is time-consuming. Some reasons are due to the daily-interval checking for all samples and the combination number of over-stresses in the test. For these reasons, the PLN proposed an alternative method by which it employs only the maximum temperature and humidity overstresses with a Weibull fitting-distribution. The method simplifies the former IEC method. It also gives benefit by allowing a modification on the duration and the number of samples based on the reliability target and the confidence level. With this approach, the length of the test reduces to about 20% in comparison to a full test recommended by the IEC.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313690","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318883
Pilamupih Dwi Rahayu, R. Ardi, Andri D. Setiawan
Waste electrical and electronic equipment (WEEE) is prohibited for export, while used electrical and electronic equipment (UEEE) can be exported because they still have valuable components. Transboundary movement of WEEE occurs due to unclear boundaries between WEEE and UEEE. As a consequence, many countries took advantage of the opportunity to export their WEEE on behalf of UEEE. This conceptual paper discusses the application of game theory to WEEE and UEEE research by highlighting the strategy in game theory in various aspects of the transboundary movement. Game theory is one of the mathematical models often used in dealing with environmental issues, but there is no research that uses game theory to deal with transboundary movement of electronic waste issue. Therefore, this research was conducted to fill the gap and provide a broader understanding of game theory. For this purpose, the first step is to describe the basic formulas in game theory, their uses and limitations, and applications in environmental problems. Then, examine several strategies for WEEE and UEEE problems with the game theory. The expected results of this study are to determine optimal strategies for developed and developing countries and to mediate countries involved in the transboundary movement of WEEE. These strategies are expected to reduce transboundary movement of WEEE between respected countries.
{"title":"Model Conceptualization for Optimal Strategies in Transboundary Movement of Waste Electrical and Electronic Equipment: A Game Theory Approach","authors":"Pilamupih Dwi Rahayu, R. Ardi, Andri D. Setiawan","doi":"10.1109/APCoRISE46197.2019.9318883","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318883","url":null,"abstract":"Waste electrical and electronic equipment (WEEE) is prohibited for export, while used electrical and electronic equipment (UEEE) can be exported because they still have valuable components. Transboundary movement of WEEE occurs due to unclear boundaries between WEEE and UEEE. As a consequence, many countries took advantage of the opportunity to export their WEEE on behalf of UEEE. This conceptual paper discusses the application of game theory to WEEE and UEEE research by highlighting the strategy in game theory in various aspects of the transboundary movement. Game theory is one of the mathematical models often used in dealing with environmental issues, but there is no research that uses game theory to deal with transboundary movement of electronic waste issue. Therefore, this research was conducted to fill the gap and provide a broader understanding of game theory. For this purpose, the first step is to describe the basic formulas in game theory, their uses and limitations, and applications in environmental problems. Then, examine several strategies for WEEE and UEEE problems with the game theory. The expected results of this study are to determine optimal strategies for developed and developing countries and to mediate countries involved in the transboundary movement of WEEE. These strategies are expected to reduce transboundary movement of WEEE between respected countries.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140621","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318875
A. A. Kusuma, P. Pramana, B. S. Munir
Reliability of measurement apparatus is an important thing in order to secure the continuous supply of power in the system. Measurement error potentially affects the protection system performance. In the study, an example of protection system failure due to measurement error on current transformer (CT) on one of the 150kV transmission line in Java-Bali grid will be discussed. The failure occurs due to residual fault current that remain flow at the faulted phase even though fault clearing has been done by the primary protection of the transmission line. Therefore, the study will determine the cause of fault residual current measured by CT after fault clearing by performing simulation in application of transient analysis. In this study, the data during single phase to ground fault on the transmission line are presented. Along with the explanation of literature study related to measurement error on CT. After that, simulations using variation of CT measurement condition are performed.
{"title":"Protection System Failure on 150kV Transmission Line in Java-Bali Grid due to Fault Current Residual","authors":"A. A. Kusuma, P. Pramana, B. S. Munir","doi":"10.1109/APCoRISE46197.2019.9318875","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318875","url":null,"abstract":"Reliability of measurement apparatus is an important thing in order to secure the continuous supply of power in the system. Measurement error potentially affects the protection system performance. In the study, an example of protection system failure due to measurement error on current transformer (CT) on one of the 150kV transmission line in Java-Bali grid will be discussed. The failure occurs due to residual fault current that remain flow at the faulted phase even though fault clearing has been done by the primary protection of the transmission line. Therefore, the study will determine the cause of fault residual current measured by CT after fault clearing by performing simulation in application of transient analysis. In this study, the data during single phase to ground fault on the transmission line are presented. Along with the explanation of literature study related to measurement error on CT. After that, simulations using variation of CT measurement condition are performed.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128811542","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318809
Lia Hafiza, M. Reza, N. Adriansyah, Ir. Denny Setiawan
Telecommunication is a sector regulated by the State because it uses limited natural resources namely frequency and to ensure the right of everyone to be able to communicate and obtain information in accordance with the constitution. In the other hand, the telecommunication industry which is predicted will decline in the future and needs to take precautions, there are two things that become solution; saving and entering new businesses. The solution discussed in this study is savings. More than 60% of Mobile Network Operators (MNO) in the world use Radio Access Network Sharing (RAN Sharing) to make savings. The type of RAN Sharing used in this study is the Multi-Operator Core Network (MOCN) that shared up to the frequency spectrum, and it can also be a solution to the scarcity of the spectrum, saving operator's expenses, accelerating network deployment to the regions and impacting on GDP in Indonesia. In this study, there are three aspects that will be discussed; technical, economic and legal aspects. In technical aspect, rural area use coverage dimensioning to determine the needs of telecommunication infrastructures. In the economic aspect, the calculation uses Net Present Value (NPV) which is analyzed using the Game Theory approach. For the legal aspect, several regulations in Indonesia related to spectrum sharing are explained to see the possibility of how this sharing can be implemented in Indonesia. Based on this research, sharing using MOCN may providing savings in rural areas and can affect competition between operators if only done by two competitors. In addition, in terms of regulations, this implementation is possible while obtaining ministerial permits but needs further study because there is a potential change in competition and double charge of usage rights fees (BHP).
{"title":"Techno-Economics Study of Spectrum Sharing for Mobile Network Operator in Rural Area: Study Case: Multi-Operator Core Network (MOCN) Band 1800 MHz","authors":"Lia Hafiza, M. Reza, N. Adriansyah, Ir. Denny Setiawan","doi":"10.1109/APCoRISE46197.2019.9318809","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318809","url":null,"abstract":"Telecommunication is a sector regulated by the State because it uses limited natural resources namely frequency and to ensure the right of everyone to be able to communicate and obtain information in accordance with the constitution. In the other hand, the telecommunication industry which is predicted will decline in the future and needs to take precautions, there are two things that become solution; saving and entering new businesses. The solution discussed in this study is savings. More than 60% of Mobile Network Operators (MNO) in the world use Radio Access Network Sharing (RAN Sharing) to make savings. The type of RAN Sharing used in this study is the Multi-Operator Core Network (MOCN) that shared up to the frequency spectrum, and it can also be a solution to the scarcity of the spectrum, saving operator's expenses, accelerating network deployment to the regions and impacting on GDP in Indonesia. In this study, there are three aspects that will be discussed; technical, economic and legal aspects. In technical aspect, rural area use coverage dimensioning to determine the needs of telecommunication infrastructures. In the economic aspect, the calculation uses Net Present Value (NPV) which is analyzed using the Game Theory approach. For the legal aspect, several regulations in Indonesia related to spectrum sharing are explained to see the possibility of how this sharing can be implemented in Indonesia. Based on this research, sharing using MOCN may providing savings in rural areas and can affect competition between operators if only done by two competitors. In addition, in terms of regulations, this implementation is possible while obtaining ministerial permits but needs further study because there is a potential change in competition and double charge of usage rights fees (BHP).","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131670399","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 : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318920
Amriane Hidayati, M. Reza, N. Adriansyah, M. I. Nashiruddin
The Internet of things (IoT) wireless network are evolving to help meet the needs of a wide variety of connected devices. 3GPP has introduced a narrowband system based on Long Term Evolution (LTE) named Narrowband IoT (NB-IoT). It provides low-cost, wide coverage, long battery life, and support massive devices. The smart meter has become one of the main element in smart grids that potential to use NB-IoT technology and categorized into massive IoT because of its characteristics requirements. This paper aims to provide a techno-economic analysis of NB-IoT deployment for smart metering. The analysis results show that smart metering deployment will be feasible if there are consumers involvement considered. In addition, based on sensitivity analysis results, material costs become the most critical element to bring successful deployment. Its variations and slight changes have a significant impact on the overall Net Present Value (NPV).
{"title":"Techno-Economic Analysis of Narrowband IoT (NB-IoT) Deployment for Smart Metering","authors":"Amriane Hidayati, M. Reza, N. Adriansyah, M. I. Nashiruddin","doi":"10.1109/APCoRISE46197.2019.9318920","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318920","url":null,"abstract":"The Internet of things (IoT) wireless network are evolving to help meet the needs of a wide variety of connected devices. 3GPP has introduced a narrowband system based on Long Term Evolution (LTE) named Narrowband IoT (NB-IoT). It provides low-cost, wide coverage, long battery life, and support massive devices. The smart meter has become one of the main element in smart grids that potential to use NB-IoT technology and categorized into massive IoT because of its characteristics requirements. This paper aims to provide a techno-economic analysis of NB-IoT deployment for smart metering. The analysis results show that smart metering deployment will be feasible if there are consumers involvement considered. In addition, based on sensitivity analysis results, material costs become the most critical element to bring successful deployment. Its variations and slight changes have a significant impact on the overall Net Present Value (NPV).","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146000","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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