Pub Date : 2019-04-18DOI: 10.1109/APCoRISE46197.2019.9318810
M. Fikri, S. Herdjunanto, A. Cahyadi
Raw signal from sensor is generally corrupted by noise and other uncertainties. To suppress the noise, a filtering mechanism is required. Exponential Moving Average filter (EMA) serves as a powerful yet exceptionally simple filter. However, selecting so-called Alpha parameter in EMA is not a straightforward task. Extremely large Alpha value lead to more noise in the signal and small Alpha value resulted in sluggish convergence to the true value. In many cases Alpha parameter is selected arbitrarily and then opted for the best performance, resulting in numerous trials and errors. This paper is aimed to present an insight to select Alpha parameter, that is by implementing Kalman Gain from Kalman Filter structure as Alpha parameter and simultaneously highlight the similarity between Discrete Linear Kalman filter and Exponential Moving Average filter through some mathematical manipulations. To demonstrate the filter performance, altitude data from BMP280 barometric sensor is filtered. The results show that the EMA with Kalman Gain is capable to converge to the true altitude value and for some reasons, EMA with Kalman Gain resembles Kalman Filter performance in this particular scenario.
{"title":"On the Performance Similarity Between Exponential Moving Average and Discrete Linear Kalman Filter","authors":"M. Fikri, S. Herdjunanto, A. Cahyadi","doi":"10.1109/APCoRISE46197.2019.9318810","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318810","url":null,"abstract":"Raw signal from sensor is generally corrupted by noise and other uncertainties. To suppress the noise, a filtering mechanism is required. Exponential Moving Average filter (EMA) serves as a powerful yet exceptionally simple filter. However, selecting so-called Alpha parameter in EMA is not a straightforward task. Extremely large Alpha value lead to more noise in the signal and small Alpha value resulted in sluggish convergence to the true value. In many cases Alpha parameter is selected arbitrarily and then opted for the best performance, resulting in numerous trials and errors. This paper is aimed to present an insight to select Alpha parameter, that is by implementing Kalman Gain from Kalman Filter structure as Alpha parameter and simultaneously highlight the similarity between Discrete Linear Kalman filter and Exponential Moving Average filter through some mathematical manipulations. To demonstrate the filter performance, altitude data from BMP280 barometric sensor is filtered. The results show that the EMA with Kalman Gain is capable to converge to the true altitude value and for some reasons, EMA with Kalman Gain resembles Kalman Filter performance in this particular scenario.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"13 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":"124028406","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/APCoRISE46197.2019.9318972
This study presents a method to predict crimes by using multiple data sources i.e. spatio-temporal crime dataset and zoning district dataset. The contribution of this study lies in the use of Kernel Density Estimation (KDE) and zoning district dataset to address the issue of crimes prediction. The experiments were performed by training Gradient Boosting Machine (GBM) as a classifier on some subset of features. The best result was achieved by using all features including KDE with smoothing and zoning district feature, namely with multiclass logarithmic loss 2.356104 on validation set and 2.35443 on test set.
{"title":"Crimes Prediction Using Spatio-Temporal Data and Kernel Density Estimation","authors":"","doi":"10.1109/APCoRISE46197.2019.9318972","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318972","url":null,"abstract":"This study presents a method to predict crimes by using multiple data sources i.e. spatio-temporal crime dataset and zoning district dataset. The contribution of this study lies in the use of Kernel Density Estimation (KDE) and zoning district dataset to address the issue of crimes prediction. The experiments were performed by training Gradient Boosting Machine (GBM) as a classifier on some subset of features. The best result was achieved by using all features including KDE with smoothing and zoning district feature, namely with multiclass logarithmic loss 2.356104 on validation set and 2.35443 on test set.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"32 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":"125725830","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/APCoRISE46197.2019.9318874
Irma Handayani, Komarudin, A. Hidayatno
With the benefits for the customer and long-term efficiency for mobile operators in Indonesia through the implementation of Internet Protocol-based Interconnection between mobile operators, Government of Indonesia plans to set up a policy to push the adoption of IP-based Interconnection. However, the mobile operators that already heavily invested in the current technology are worry that the IP-based Interconnection will incur higher additional costs and will lead to declining revenue due to the facts that their voice and mobile-text revenue has continued to decline as a result of the provision of substituted similar voice services by OTT (over the top) application. This research developed a qualitative conceptual model of policies that can be carried out by the Government to support IP-based interconnection plan using a system diagram. The conceptual model shows mobile operators can implement IP-based Interconnection with the support of OTT regulation, revisions of cellular tariff regulations, revisions of interconnection regulations, QoS regulation for mobile data services, socialization to encourage the use of VoLTe services and publicly available of affordable VoLTe smartphone.
通过在移动运营商之间实施基于互联网协议的互联互通，为印尼的移动运营商带来客户利益和长期效率，印尼政府计划制定政策，推动采用基于ip的互联互通。然而，已经大量投资于当前技术的移动运营商担心，基于ip的互联将招致更高的额外成本，并将导致收入下降，因为他们的语音和移动文本收入持续下降，这是由OTT (over - the - top)应用程序提供替代类似语音服务的结果。这项研究开发了一个定性的政策概念模型，政府可以使用系统图来支持基于ip的互连计划。概念模型表明，移动运营商可以在OTT法规、修订蜂窝资费法规、修订互联法规、移动数据服务的QoS法规、鼓励使用VoLTe服务的社会化以及可负担得起的VoLTe智能手机的支持下实现基于ip的互联。
{"title":"Understanding the Structure of Policies in the Future Implementation of Internet-Protocol-based Interconnection in Indonesia","authors":"Irma Handayani, Komarudin, A. Hidayatno","doi":"10.1109/APCoRISE46197.2019.9318874","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318874","url":null,"abstract":"With the benefits for the customer and long-term efficiency for mobile operators in Indonesia through the implementation of Internet Protocol-based Interconnection between mobile operators, Government of Indonesia plans to set up a policy to push the adoption of IP-based Interconnection. However, the mobile operators that already heavily invested in the current technology are worry that the IP-based Interconnection will incur higher additional costs and will lead to declining revenue due to the facts that their voice and mobile-text revenue has continued to decline as a result of the provision of substituted similar voice services by OTT (over the top) application. This research developed a qualitative conceptual model of policies that can be carried out by the Government to support IP-based interconnection plan using a system diagram. The conceptual model shows mobile operators can implement IP-based Interconnection with the support of OTT regulation, revisions of cellular tariff regulations, revisions of interconnection regulations, QoS regulation for mobile data services, socialization to encourage the use of VoLTe services and publicly available of affordable VoLTe smartphone.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"44 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":"124938554","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/APCoRISE46197.2019.9318833
H. Heimes, A. Kampker, Ulrich Bührer, Anita Steinberger, Joscha Eirich, Stefan Krotil
Data analytics provides a toolset to extract insights from large amounts of data. In order to stay competitive, companies of the manufacturing domain utilize data analytics to be more efficient and to increase quality of the production and product. Current methodologies for the application of data analytics and data mining techniques focus on finding correlations within data from existing systems and historic data. Therefore, data analytics is typically applied to solve existing problems within existing manufacturing systems. Since present brownfield production lines often provide insufficient data, new hardware has to be retrofitted to acquire the required data. Hence, valuable time for problem solving is lost. This paper presents an approach to proactively implement data analytics during early predevelopment phases in order to allow scalability of the approach to large scale manufacturing systems. The approach is implemented and evaluated within the context of high voltage battery manufacturing for electric vehicles.
{"title":"Scalable Data Analytics from Predevelopment to Large Scale Manufacturing","authors":"H. Heimes, A. Kampker, Ulrich Bührer, Anita Steinberger, Joscha Eirich, Stefan Krotil","doi":"10.1109/APCoRISE46197.2019.9318833","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318833","url":null,"abstract":"Data analytics provides a toolset to extract insights from large amounts of data. In order to stay competitive, companies of the manufacturing domain utilize data analytics to be more efficient and to increase quality of the production and product. Current methodologies for the application of data analytics and data mining techniques focus on finding correlations within data from existing systems and historic data. Therefore, data analytics is typically applied to solve existing problems within existing manufacturing systems. Since present brownfield production lines often provide insufficient data, new hardware has to be retrofitted to acquire the required data. Hence, valuable time for problem solving is lost. This paper presents an approach to proactively implement data analytics during early predevelopment phases in order to allow scalability of the approach to large scale manufacturing systems. The approach is implemented and evaluated within the context of high voltage battery manufacturing for electric vehicles.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"21 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":"129531963","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/apcorise46197.2019.9318872
Yulia Fitriani, S. Sumpeno, M. Purnomo
Twitter is one of microblogging service that widely used by people. Its popularity invites spammers to disturb other users with a large number of spam tweets. Spammers send untrusted news, unwanted tweets to another twitter accounts to introduce a product and service, a job with high salary, promote a new website, spread advertise to generate sales that could harm other users. This paper collects a hundred accounts from non-spammer and spammer. After that, manually classified as a non-spammer and spammer. User's behavior characteristics, which could give many clues to classify spammer. This paper applies profile users as features for the machine learning to classify users as a non-spammer or spammer. This paper applies seven attributes such as the statuses count, followers count, friends count, the age of account, average tweets per day, average limits between tweets, verified user or not. Using a Decision Tree method, we could classify non-spammer and spammer. The accuracy of the classification of non-spammer and spammer is 88,235%
{"title":"Classifying Twitter Spammer based on User's Behavior using Decision Tree","authors":"Yulia Fitriani, S. Sumpeno, M. Purnomo","doi":"10.1109/apcorise46197.2019.9318872","DOIUrl":"https://doi.org/10.1109/apcorise46197.2019.9318872","url":null,"abstract":"Twitter is one of microblogging service that widely used by people. Its popularity invites spammers to disturb other users with a large number of spam tweets. Spammers send untrusted news, unwanted tweets to another twitter accounts to introduce a product and service, a job with high salary, promote a new website, spread advertise to generate sales that could harm other users. This paper collects a hundred accounts from non-spammer and spammer. After that, manually classified as a non-spammer and spammer. User's behavior characteristics, which could give many clues to classify spammer. This paper applies profile users as features for the machine learning to classify users as a non-spammer or spammer. This paper applies seven attributes such as the statuses count, followers count, friends count, the age of account, average tweets per day, average limits between tweets, verified user or not. Using a Decision Tree method, we could classify non-spammer and spammer. The accuracy of the classification of non-spammer and spammer is 88,235%","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"215 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":"122171875","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/APCoRISE46197.2019.9318797
H. B. Tambunan, P. Pramana, Brian Bramantvo Satriaji D. A. Harsono, A. A. Kusuma, N. W. Priambodo, B. S. Munir
Java Bali power grid become larger because of continous development of power plant. In the other hand, higher power generation leads to higher short circuit current level. One of the solutions to limit this higher fault current is by installing of the fault current limiters (FCL). Selecting the FCL technology is relative complex as it involves multi criteria decision making. To solve it, this study used the analytic network process (ANP) method to find out the priority of FCL technology with respect to the major criteria such as technology, engineering, economic, and impact factor. Seven alternative of FCL technology used in this study were air core reactors (ACR), iron core reactors (ICR), saturable core fault current limiters (SCFCL), resistive superconducting fault current limiters (RSFCL), inductive superconducting fault current limiters (ISFCL), and pyrotechnic current limiters (PCL). Each FCL technology was evaluated and ranked from each stated criteria. FCL technology alternative for each voltage level was presented in this paper to give better justification for FCL technology selection.
{"title":"Multicriteria Decision Approach for Selection of Fault Current Limiters Technology","authors":"H. B. Tambunan, P. Pramana, Brian Bramantvo Satriaji D. A. Harsono, A. A. Kusuma, N. W. Priambodo, B. S. Munir","doi":"10.1109/APCoRISE46197.2019.9318797","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318797","url":null,"abstract":"Java Bali power grid become larger because of continous development of power plant. In the other hand, higher power generation leads to higher short circuit current level. One of the solutions to limit this higher fault current is by installing of the fault current limiters (FCL). Selecting the FCL technology is relative complex as it involves multi criteria decision making. To solve it, this study used the analytic network process (ANP) method to find out the priority of FCL technology with respect to the major criteria such as technology, engineering, economic, and impact factor. Seven alternative of FCL technology used in this study were air core reactors (ACR), iron core reactors (ICR), saturable core fault current limiters (SCFCL), resistive superconducting fault current limiters (RSFCL), inductive superconducting fault current limiters (ISFCL), and pyrotechnic current limiters (PCL). Each FCL technology was evaluated and ranked from each stated criteria. FCL technology alternative for each voltage level was presented in this paper to give better justification for FCL technology selection.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"21 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":"126578338","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/APCoRISE46197.2019.9318909
J. Hartono, P. Pramana, A. A. Kusuma, B. S. Munir
The magnitude of system inertia determines the rate of frequency change if there is any power deviation in the system. Thus, estimation of inertia magnitude is essential to be performed in order to obtain accurate defense scheme when the system is interrupted. In addition, the inertia magnitude can also be used to determine the magnitude of power deviation, so that defense scheme can perform load shedding more accurately. Therefore, this study will discuss about the method for estimating system inertia using Artificial Neural Network (ANN) only with frequency measurement data. The training and validation data for ANN are obtained from the simulation results of power swing equation. After that, the ANN network is used to estimate the inertia magnitude of isolated system from the real measurement data. The results show that the estimation of system inertia and power deviation only with frequency measurement data will have magnitude that close to the real measurement results. Furthermore, this method for knowing the system inertia will be used in the company to determine the proper defense scheme for different system inertia.
{"title":"Power System Inertia Estimation Based on Frequency Measurement","authors":"J. Hartono, P. Pramana, A. A. Kusuma, B. S. Munir","doi":"10.1109/APCoRISE46197.2019.9318909","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318909","url":null,"abstract":"The magnitude of system inertia determines the rate of frequency change if there is any power deviation in the system. Thus, estimation of inertia magnitude is essential to be performed in order to obtain accurate defense scheme when the system is interrupted. In addition, the inertia magnitude can also be used to determine the magnitude of power deviation, so that defense scheme can perform load shedding more accurately. Therefore, this study will discuss about the method for estimating system inertia using Artificial Neural Network (ANN) only with frequency measurement data. The training and validation data for ANN are obtained from the simulation results of power swing equation. After that, the ANN network is used to estimate the inertia magnitude of isolated system from the real measurement data. The results show that the estimation of system inertia and power deviation only with frequency measurement data will have magnitude that close to the real measurement results. Furthermore, this method for knowing the system inertia will be used in the company to determine the proper defense scheme for different system inertia.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"185 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":"131848329","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/APCoRISE46197.2019.9318919
Laksmi Ambarwati, R. Ardi
In a developing country like Indonesia, waste electrical and electronic equipment (WEEE) management system is not yet established. Government and the electrical and electronic equipment (EEE) manufacture still have minimum knowledge about WEEE. In the other side, serious simulation game is found to be effective for educating users through its engaging environment and experiencing the decision. Serious simulation game as environmental education tool is no longer a new field of research. However, there are still few serious simulation game researches that bring waste management issues, and none focusing on WEEE Management education for the stakeholder. Thus, the purpose of this research is to develop a preliminary model for WEEE Management Serious Simulation Game to educate the stakeholder about WEEE, why it needs to be managed, and how it should be managed. The aim of this game is to find the best scenario that resulting the most volume of WEEE collection. A multiplayer game infrastructure is implemented to allow interaction between players. It enables the player to understand the different result for different decision taken both in collaborative and competitive mode. The preliminary model developed in this research will include the conceptual model of WEEE management system under study, the input, action and output of the stakeholders, as well as the information flow between them
{"title":"Serious Simulation Game Preliminary Design as Education Tool for Waste Electrical and Electronic Equipment Management System in Indonesia","authors":"Laksmi Ambarwati, R. Ardi","doi":"10.1109/APCoRISE46197.2019.9318919","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318919","url":null,"abstract":"In a developing country like Indonesia, waste electrical and electronic equipment (WEEE) management system is not yet established. Government and the electrical and electronic equipment (EEE) manufacture still have minimum knowledge about WEEE. In the other side, serious simulation game is found to be effective for educating users through its engaging environment and experiencing the decision. Serious simulation game as environmental education tool is no longer a new field of research. However, there are still few serious simulation game researches that bring waste management issues, and none focusing on WEEE Management education for the stakeholder. Thus, the purpose of this research is to develop a preliminary model for WEEE Management Serious Simulation Game to educate the stakeholder about WEEE, why it needs to be managed, and how it should be managed. The aim of this game is to find the best scenario that resulting the most volume of WEEE collection. A multiplayer game infrastructure is implemented to allow interaction between players. It enables the player to understand the different result for different decision taken both in collaborative and competitive mode. The preliminary model developed in this research will include the conceptual model of WEEE management system under study, the input, action and output of the stakeholders, as well as the information flow between them","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":"131138987","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/APCoRISE46197.2019.9318824
Nofan Hadi Ahmad, A. Rusdiansyah, A. Wikarta
Electric motors are one of the achievements of technology that is qualified, both in terms of development of science and socio-economic aspects. Electric motors are promising products as an alternative mode of transportation for people by utilizing electricity as an energy source. To ensure the reliability and sustainability of these products in order to enter the automotive industry market and avoid negative sentiments in the form of consumers' concerns to recharge when they run out of electricity in the middle of their journey, it is proposed for the establishment of Battery Exchange Station (BES) in several locations in order to meet the availability of electrical energy supply in the form of batteries that are ready to use. Through the battery swapping method, electric motor users will exchange batteries that will run out with a new battery that has been charged 100% (fully charged). This causes the supplier is responsible for distributing the electric battery so that a model is needed to minimize distribution costs while maintaining inventory levels at the customer. The inventory routing problem model by considering stochastic demand and recharging time on BES is designed to solve that vendor problem related to the distribution of electric batteries. This problem is approached by the Traveling Salesman Problem (TSP) to determine the delivery route with a minimum total distance and modeled with the Markov Chain to determine scheduling related to its replenishment. The result revealed that cost of transportation will be minimum by TSP and cost of distribution (replenishment unit and truck dispatching) will be minimum by Modified Markov Chain Model.
{"title":"The Design of Model and Inventory Routing Problem (IRP) Algorithm for Swapped Battery at Battery Exchange Station (BES): Case Study of Electric Motor","authors":"Nofan Hadi Ahmad, A. Rusdiansyah, A. Wikarta","doi":"10.1109/APCoRISE46197.2019.9318824","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318824","url":null,"abstract":"Electric motors are one of the achievements of technology that is qualified, both in terms of development of science and socio-economic aspects. Electric motors are promising products as an alternative mode of transportation for people by utilizing electricity as an energy source. To ensure the reliability and sustainability of these products in order to enter the automotive industry market and avoid negative sentiments in the form of consumers' concerns to recharge when they run out of electricity in the middle of their journey, it is proposed for the establishment of Battery Exchange Station (BES) in several locations in order to meet the availability of electrical energy supply in the form of batteries that are ready to use. Through the battery swapping method, electric motor users will exchange batteries that will run out with a new battery that has been charged 100% (fully charged). This causes the supplier is responsible for distributing the electric battery so that a model is needed to minimize distribution costs while maintaining inventory levels at the customer. The inventory routing problem model by considering stochastic demand and recharging time on BES is designed to solve that vendor problem related to the distribution of electric batteries. This problem is approached by the Traveling Salesman Problem (TSP) to determine the delivery route with a minimum total distance and modeled with the Markov Chain to determine scheduling related to its replenishment. The result revealed that cost of transportation will be minimum by TSP and cost of distribution (replenishment unit and truck dispatching) will be minimum by Modified Markov Chain Model.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"2 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":"121150659","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/APCoRISE46197.2019.9318927
A. Moeis, A. Sutrisno
The Indonesian general election in 2019 marks a new era for the country democratic evolution. This is the first time the Presidential election is being held at the same time as the legislative election. This creates new dynamics on how the political parties as the country legal proposer of the presidential candidates. Based on the current law, the legal threshold for the Indonesian presidential candidates is at least being proposed by party or coalition of parties with at least 20% of total popular votes in the previous general election. Parties are searching for optimum configuration to not only to improve their coalitional presidential candidate winning probability but also to enhance electability in the legislative election as coattail effect.
{"title":"Social Network Analysis of the Pilkada Serentak 2018: Towards National Coalition in the 2019 Indonesia's General Election","authors":"A. Moeis, A. Sutrisno","doi":"10.1109/APCoRISE46197.2019.9318927","DOIUrl":"https://doi.org/10.1109/APCoRISE46197.2019.9318927","url":null,"abstract":"The Indonesian general election in 2019 marks a new era for the country democratic evolution. This is the first time the Presidential election is being held at the same time as the legislative election. This creates new dynamics on how the political parties as the country legal proposer of the presidential candidates. Based on the current law, the legal threshold for the Indonesian presidential candidates is at least being proposed by party or coalition of parties with at least 20% of total popular votes in the previous general election. Parties are searching for optimum configuration to not only to improve their coalitional presidential candidate winning probability but also to enhance electability in the legislative election as coattail effect.","PeriodicalId":250648,"journal":{"name":"2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)","volume":"29 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":"123572018","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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