Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752925
Aldi Bayu Kreshnanda Ismail, Ihsan Fikri Abdurahman Muharram, Adnan Rachmat Anom Besari, D. Pramadihanto
The three-dimensional approach in face identification technology had gained prominent significance as the state-of-the-art breakthrough due to its ability to address the currently developing issues of identification technology (illumination, deformation and pose variance). Consequently, this trend is also followed by rapid development of the three-dimensional face identification architectures in which some of them, namely Microsoft Kinect and Intel RealSense, have become somewhat today’s standard because of its popularity. However, these architectures may not be the most accessible to all due to its limited customisation nature being a commercial product. This research aims to propose an architecture as an alternative to the pre-existing ones which allows user to fully customise the RGB-D data by involving open source components, and serving as a less power demanding architecture. The architecture integrates Microsoft LifeCam and Structure Sensor as the input components and other open source libraries which are OpenCV and Point Cloud Library (PCL). The result shows that the proposed architecture can successfully perform the intended tasks such as extracting face RGB-D data and selecting out region of interest in the face area.
{"title":"Face RGB-D Data Acquisition System Architecture for 3D Face Identification Technology","authors":"Aldi Bayu Kreshnanda Ismail, Ihsan Fikri Abdurahman Muharram, Adnan Rachmat Anom Besari, D. Pramadihanto","doi":"10.1109/EECSI.2018.8752925","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752925","url":null,"abstract":"The three-dimensional approach in face identification technology had gained prominent significance as the state-of-the-art breakthrough due to its ability to address the currently developing issues of identification technology (illumination, deformation and pose variance). Consequently, this trend is also followed by rapid development of the three-dimensional face identification architectures in which some of them, namely Microsoft Kinect and Intel RealSense, have become somewhat today’s standard because of its popularity. However, these architectures may not be the most accessible to all due to its limited customisation nature being a commercial product. This research aims to propose an architecture as an alternative to the pre-existing ones which allows user to fully customise the RGB-D data by involving open source components, and serving as a less power demanding architecture. The architecture integrates Microsoft LifeCam and Structure Sensor as the input components and other open source libraries which are OpenCV and Point Cloud Library (PCL). The result shows that the proposed architecture can successfully perform the intended tasks such as extracting face RGB-D data and selecting out region of interest in the face area.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"86 1","pages":"503-508"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77634503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752750
Darari Nur Amali, Adnan Rachmat Anom Besari, Ali Ridho Barakbah, Dias Agata
In this digital era, digital content especially video, is increasing in number from time to time. Typically, a video service provider like Youtube will perform video analysis based on the video content such as colours, textures, shapes, and other features that exist in video content. The result of this analysis was used to understand user preference and to personalize video for each user. With technological developments, especially in Machine Learning and Computer Vision technology, video analysis can be based on other things beyond the video. In this context, it is the audience's impression. Thus, with the analysis of audience impressions in real-time, it is expected that the video can be analysed using the emotion parameters of the audience while the video is playing, and this can be done automatically and real-time. This system generates impression statistic for each video which concluded from every user who has watched the video and save those data in the database. Method used to analyse the result is by recruiting respondent and give some questionnaires. Respondents were asked to watch some videos and were asked to compare the impression metric which created by the system with user’s real impression. The result shos that the automatic video-metric creation from emotion detection has been able to measure user’s impression of the video with more than 80% accuracy stated by 75% of 20 respondents of the survey.
{"title":"Automatic User-Video Metrics Creations From Emotion Detection","authors":"Darari Nur Amali, Adnan Rachmat Anom Besari, Ali Ridho Barakbah, Dias Agata","doi":"10.1109/EECSI.2018.8752750","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752750","url":null,"abstract":"In this digital era, digital content especially video, is increasing in number from time to time. Typically, a video service provider like Youtube will perform video analysis based on the video content such as colours, textures, shapes, and other features that exist in video content. The result of this analysis was used to understand user preference and to personalize video for each user. With technological developments, especially in Machine Learning and Computer Vision technology, video analysis can be based on other things beyond the video. In this context, it is the audience's impression. Thus, with the analysis of audience impressions in real-time, it is expected that the video can be analysed using the emotion parameters of the audience while the video is playing, and this can be done automatically and real-time. This system generates impression statistic for each video which concluded from every user who has watched the video and save those data in the database. Method used to analyse the result is by recruiting respondent and give some questionnaires. Respondents were asked to watch some videos and were asked to compare the impression metric which created by the system with user’s real impression. The result shos that the automatic video-metric creation from emotion detection has been able to measure user’s impression of the video with more than 80% accuracy stated by 75% of 20 respondents of the survey.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"25 1","pages":"663-668"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76285706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752957
Syafii, Novizon, Wati, Dona Juliandri
This paper presented the economic feasibility analysis of grid-connected photovoltaic on the roof of building, to reduce peak electrical demand. The Engineering Faculty electrical system is used as case study of PV system economic feasibility. The economic calculation assumptions used are: electricity tariff IDR 1114.74 per kWh based on electricity tariff for medium voltage load, estimated annual module degradation 0.5% and the life expectancy of the solar panels 25 years. The interest rate using of Bank Indonesia (BI) rate for 2018 i.e. 4.25% and inflation rate 3% also considered. The initial investment required to build 117.5 kWp PV system is IDR 2,413 million. The operational and maintenance costs are estimated 1% of initial investment per year. The result of cash flow rate shows that a positive NPV is achievable and payback period less then solar panels life expectancy. The simple payback period is 11 years and discounted payback period calculated by consider multiple parameters to be 14 years. The result of economic analysis using current rate value indicate that the project is profitable.
{"title":"Feasibility Study of Rooftop Grid Connected PV System for Peak Load Reduction","authors":"Syafii, Novizon, Wati, Dona Juliandri","doi":"10.1109/EECSI.2018.8752957","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752957","url":null,"abstract":"This paper presented the economic feasibility analysis of grid-connected photovoltaic on the roof of building, to reduce peak electrical demand. The Engineering Faculty electrical system is used as case study of PV system economic feasibility. The economic calculation assumptions used are: electricity tariff IDR 1114.74 per kWh based on electricity tariff for medium voltage load, estimated annual module degradation 0.5% and the life expectancy of the solar panels 25 years. The interest rate using of Bank Indonesia (BI) rate for 2018 i.e. 4.25% and inflation rate 3% also considered. The initial investment required to build 117.5 kWp PV system is IDR 2,413 million. The operational and maintenance costs are estimated 1% of initial investment per year. The result of cash flow rate shows that a positive NPV is achievable and payback period less then solar panels life expectancy. The simple payback period is 11 years and discounted payback period calculated by consider multiple parameters to be 14 years. The result of economic analysis using current rate value indicate that the project is profitable.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"84 1","pages":"231-235"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85538498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752914
Yew Hoe Tung, Muhammad Haikal Satria, Rindu Nurma Illahi
The application of Wireless Local Area Network (WLAN) is limited to indoor or pedestrian walking speed environment because the small WLAN coverage will lead to the growth of unnecessary handover rate in high-speed scenario. The previously proposed traveling distance prediction based handover methods assumed mobile terminal (MT) travels at a constant speed is impractical as most of the MTs may not be traveling at constant speed in real environment. These methods have poor performance in case of acceleration because MT will leave the network earlier than the estimated time. In this paper, a new traveling distance prediction based handover scheme that is aware of MT’s speed changes is proposed to overcome the limitation of the existing methods. The proposed scheme is adapted to the MT velocity and acceleration or deceleration rate. The numerical result shows that the performance of the proposed scheme is better than the existing handover methods in high-speed scenario. It keeps the probability of unnecessary handover within the user acceptable level in high-speed scenario.
无线局域网(Wireless Local Area Network, WLAN)的应用仅限于室内或行人步行速度的环境，因为在高速场景下，较小的WLAN覆盖范围会导致不必要的切换率增长。以往提出的基于移动终端移动距离预测的切换方法，假设移动终端的移动速度是恒定的，但由于实际环境中大多数移动终端的移动速度可能不是恒定的，因此这种切换方法是不切实际的。这些方法在加速情况下性能较差，因为MT会比估计时间更早离开网络。针对现有切换方法的局限性，提出了一种新的基于移动距离预测的切换方案，该方案能够感知MT的速度变化。该方案适用于MT速度和加减速速率。数值结果表明，该方案在高速场景下的性能优于现有的切换方法。在高速场景下，将不必要的切换概率控制在用户可接受的范围内。
{"title":"A New Method for Minimizing the Unnecessary Handover in High-Speed Scenario","authors":"Yew Hoe Tung, Muhammad Haikal Satria, Rindu Nurma Illahi","doi":"10.1109/EECSI.2018.8752914","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752914","url":null,"abstract":"The application of Wireless Local Area Network (WLAN) is limited to indoor or pedestrian walking speed environment because the small WLAN coverage will lead to the growth of unnecessary handover rate in high-speed scenario. The previously proposed traveling distance prediction based handover methods assumed mobile terminal (MT) travels at a constant speed is impractical as most of the MTs may not be traveling at constant speed in real environment. These methods have poor performance in case of acceleration because MT will leave the network earlier than the estimated time. In this paper, a new traveling distance prediction based handover scheme that is aware of MT’s speed changes is proposed to overcome the limitation of the existing methods. The proposed scheme is adapted to the MT velocity and acceleration or deceleration rate. The numerical result shows that the performance of the proposed scheme is better than the existing handover methods in high-speed scenario. It keeps the probability of unnecessary handover within the user acceptable level in high-speed scenario.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"580-583"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76776457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752667
A. Yusuf, M. Irfan, M. M. Razzaq
Most of the available generators in the market are a high speed induction generator which requires high rotational speed and electricity to generate a magnetic field. However, there are very few low-speed generators that exist in the market that available for small energy resources. This paper aims to design and simulate a Coreless Permanent Magnet Axial Flux Generator (PMAFG) for low speed wind turbine. An axial flux generator was designed to have a low speed rotation using a permanent magnet of the type Neodymium Iron Boron (NdFeB). The model was examined with excel to data analyzed. Coreless PMAFG is a generator that is enabled to turn on energy at low speeds. The chosen model was Double Rotor – Single Stator (12 Slots 8 Poles) using Infolytica Magnet software. Finite Element Method (FEM) was employed to analyze the phenomena of the magnetic flux. The test was simulated using static rotation method, which rotated every 3 degrees at 350 rpm with 100 turns and 10, 30, 50, 80 and 100 Ohm of load variations. Compare to the calculation of the design, results of the simulation in terms of voltage, current, power and efficiency had been met with only very small errors.
{"title":"A Design of Coreless Permanent Magnet Axial Flux Generator for Low Speed Wind Turbine","authors":"A. Yusuf, M. Irfan, M. M. Razzaq","doi":"10.1109/EECSI.2018.8752667","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752667","url":null,"abstract":"Most of the available generators in the market are a high speed induction generator which requires high rotational speed and electricity to generate a magnetic field. However, there are very few low-speed generators that exist in the market that available for small energy resources. This paper aims to design and simulate a Coreless Permanent Magnet Axial Flux Generator (PMAFG) for low speed wind turbine. An axial flux generator was designed to have a low speed rotation using a permanent magnet of the type Neodymium Iron Boron (NdFeB). The model was examined with excel to data analyzed. Coreless PMAFG is a generator that is enabled to turn on energy at low speeds. The chosen model was Double Rotor – Single Stator (12 Slots 8 Poles) using Infolytica Magnet software. Finite Element Method (FEM) was employed to analyze the phenomena of the magnetic flux. The test was simulated using static rotation method, which rotated every 3 degrees at 350 rpm with 100 turns and 10, 30, 50, 80 and 100 Ohm of load variations. Compare to the calculation of the design, results of the simulation in terms of voltage, current, power and efficiency had been met with only very small errors.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"101 1","pages":"637-641"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80617059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752773
Arief Marwanto, M. U. Nuha, Jenny P Hapsary, Daniel Triswahyudi
Most of installation on wireless LAN on the building is not considering location and geographic space are which probable co-channel interference among near-far wi-fi stations. The use of the same channel which causes of receiver stations experiences of error transmission and delay among data transmission. To analyze this drawbacks, cognitive radio (CR) is adopted which able to monitoring co-channel interference on wi-fi stations. Node MCU Arduino is used to proposed cognitive radio terminal which able to analyzed and monitoring co-channel interference among wi-fi stations known as co-channel monitoring cognitive radio (CCMCR). One of the CR task is ability to sensing the whole spectrum channel that operated in certainty frequency. Node MCU is sensed the energy power of the wi-fi stations and converted by analog-to-digital converter which detected power level of the received signal strength indicator (RSSI). The proposed model is examined by indoor experiments which obtained 63.8% co-channel average and adjacent-channel is 36.1%. Thus the proposed CCMCR node station is able to monitor co-channel interference and adjacent-channel as well. Therefore, the results could be used as the basic analysis for the development and installation of wi-fi stations in the building.
{"title":"Co-channel Interference Monitoring based on Cognitive Radio Node Station","authors":"Arief Marwanto, M. U. Nuha, Jenny P Hapsary, Daniel Triswahyudi","doi":"10.1109/EECSI.2018.8752773","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752773","url":null,"abstract":"Most of installation on wireless LAN on the building is not considering location and geographic space are which probable co-channel interference among near-far wi-fi stations. The use of the same channel which causes of receiver stations experiences of error transmission and delay among data transmission. To analyze this drawbacks, cognitive radio (CR) is adopted which able to monitoring co-channel interference on wi-fi stations. Node MCU Arduino is used to proposed cognitive radio terminal which able to analyzed and monitoring co-channel interference among wi-fi stations known as co-channel monitoring cognitive radio (CCMCR). One of the CR task is ability to sensing the whole spectrum channel that operated in certainty frequency. Node MCU is sensed the energy power of the wi-fi stations and converted by analog-to-digital converter which detected power level of the received signal strength indicator (RSSI). The proposed model is examined by indoor experiments which obtained 63.8% co-channel average and adjacent-channel is 36.1%. Thus the proposed CCMCR node station is able to monitor co-channel interference and adjacent-channel as well. Therefore, the results could be used as the basic analysis for the development and installation of wi-fi stations in the building.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"34 1","pages":"286-291"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91501180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752762
Irvan Arif, B. Harini, F. Yusivar
This paper proposes an improved decoupling scheme of stator flux-oriented control for three-phase induction motor. The simulation software used in this paper is MATLAB Simulink®. The result of the simulation indicates that this stator flux-oriented control can control the speed of the rotor angle and stator magnetization current successfully. The angular velocity of 120 rad/s achieved by settling time 2 seconds in critically-damped response and steady-state error 0.083%. The controller can overcome the external disturbance in the form of load torque of 5 Nm which has been simulated in this paper. The proposed stator voltage decoupling scheme which is used in this simulation is correct and become one of success factor of this control method.
{"title":"Stator Flux Oriented Control of Three-Phase Induction Motor with Improved Decoupling Scheme","authors":"Irvan Arif, B. Harini, F. Yusivar","doi":"10.1109/EECSI.2018.8752762","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752762","url":null,"abstract":"This paper proposes an improved decoupling scheme of stator flux-oriented control for three-phase induction motor. The simulation software used in this paper is MATLAB Simulink®. The result of the simulation indicates that this stator flux-oriented control can control the speed of the rotor angle and stator magnetization current successfully. The angular velocity of 120 rad/s achieved by settling time 2 seconds in critically-damped response and steady-state error 0.083%. The controller can overcome the external disturbance in the form of load torque of 5 Nm which has been simulated in this paper. The proposed stator voltage decoupling scheme which is used in this simulation is correct and become one of success factor of this control method.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"249-253"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90306937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752903
D. Lastomo, Widodo, H. Setiadi
Development of Metaheuristic Algorithm in engineering problems grows really fast. This algorithm is commonly used in optimization problems. One of the metaheuristic algorithms is called Firefly Algorithm (FA). Firefly Algorithm is a nature-inspired algorithm that is derived from the characteristic of fireflies. Firefly Algorithm can be used to solve optimal power flow (OPF) problem in power system. To get the best performance, firefly algorithm can be combined with fuzzy logic. This research presents the application of hybrid fuzzy logic and firefly algorithm to solve optimal power flow. The simulation is done using the MATLAB environment. The simulations show that by using the fuzzy-firefly algorithm, the power losses, as well as the total cost, can be reduced significantly.
{"title":"Optimal Power Flow using Fuzzy-Firefly Algorithm","authors":"D. Lastomo, Widodo, H. Setiadi","doi":"10.1109/EECSI.2018.8752903","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752903","url":null,"abstract":"Development of Metaheuristic Algorithm in engineering problems grows really fast. This algorithm is commonly used in optimization problems. One of the metaheuristic algorithms is called Firefly Algorithm (FA). Firefly Algorithm is a nature-inspired algorithm that is derived from the characteristic of fireflies. Firefly Algorithm can be used to solve optimal power flow (OPF) problem in power system. To get the best performance, firefly algorithm can be combined with fuzzy logic. This research presents the application of hybrid fuzzy logic and firefly algorithm to solve optimal power flow. The simulation is done using the MATLAB environment. The simulations show that by using the fuzzy-firefly algorithm, the power losses, as well as the total cost, can be reduced significantly.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"25 1 1","pages":"210-215"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79644162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752703
Wita Puspitarini, P. W. Handayani, A. Pinem, F. Azzahro
This study aims to analyze factors influencing the successful implementation of Human Resources Information System (HRIS) at the Ministry of State-Owned Enterprises (MSOE). There are 22 factors influence the success of HRIS implementation that are categorized into 4 dimensions, namely human, organization, technology and environment based on DeLone & McLean information system success model, HOT (human-organization-technology) fit model and TOE (technology-organization-environment). This research use quantitative method approach and data collection is gathered using questionnaire. Method of data analysis using Entropy method to calculate the weight of success factors and dimensions, and rank factors and dimensions. There are 99 respondents of the HRIS users provided data through the questionnaires distributed to them. This study shows that the dimensions influencing the success of HRIS implementation at the MSOE in priority order are technology, human, environment and organization. In addition, there are 5 factors selected with the highest weights namely information quality, service quality, top management support, system quality and social influence.
{"title":"Success Factors of Human Resource Information System Implementation: A Case of Ministry of State-owned Enterprise","authors":"Wita Puspitarini, P. W. Handayani, A. Pinem, F. Azzahro","doi":"10.1109/EECSI.2018.8752703","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752703","url":null,"abstract":"This study aims to analyze factors influencing the successful implementation of Human Resources Information System (HRIS) at the Ministry of State-Owned Enterprises (MSOE). There are 22 factors influence the success of HRIS implementation that are categorized into 4 dimensions, namely human, organization, technology and environment based on DeLone & McLean information system success model, HOT (human-organization-technology) fit model and TOE (technology-organization-environment). This research use quantitative method approach and data collection is gathered using questionnaire. Method of data analysis using Entropy method to calculate the weight of success factors and dimensions, and rank factors and dimensions. There are 99 respondents of the HRIS users provided data through the questionnaires distributed to them. This study shows that the dimensions influencing the success of HRIS implementation at the MSOE in priority order are technology, human, environment and organization. In addition, there are 5 factors selected with the highest weights namely information quality, service quality, top management support, system quality and social influence.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"30 1","pages":"23-27"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84939701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752643
S. Sucipto, M. Arwani, Y. Hendrawan, S. Widaningtyas, D. F. al Riza, S. Yuliatun, S. Supriyanto, A. Somantri
One of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) < 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane.
{"title":"Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network","authors":"S. Sucipto, M. Arwani, Y. Hendrawan, S. Widaningtyas, D. F. al Riza, S. Yuliatun, S. Supriyanto, A. Somantri","doi":"10.1109/EECSI.2018.8752643","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752643","url":null,"abstract":"One of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) < 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"193 1","pages":"652-656"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73761138","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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