Pub Date : 2018-11-01DOI: 10.1109/ICTKE.2018.8612421
Kotchanipa Kanprasert, Amornchai Tantimedh, Poohridate Arpasat, P. Palangsantikul, P. Porouhan, W. Premchaiswadi
This research is emphasized on the design and development of an information system for helping the associate education management officers of a public/governmental community college to better the efficiency of selecting/assigning a teacher for an offered course by reducing the number of paper documents needed. Previously, the traditional systems of the college used to collect their data manually through a paper-based approach. However, using the designed, developed and implemented information system in this study, the associate education management officers can digitally, an through an online and transparent process, collect and access the required data from 3 main resources as follows: (1) based on the teachers’ pre-semester evaluation forms, (2) based on the teachers’ post-semester evaluation forms, and (3) based on the students’ evaluation forms previously filled and submitted to the system while assessing the relevant teachers. Accordingly, using the new system, a standard process for determining a teacher for a course, in a timely and effective manner, was created in such a way that the officer could make a better decision about who might be the best alternative to teach a course relying on the history of the pre-semester and post-semester data submitted by teachers in addition to the feedbacks received from the students asking their perception regarding to that teacher. In order to better implement the system, the SDLC (System Development Life Cycle) software engineering process was considered and practiced by using the Eclipse Typescript, Visual Studio Code, Language Typescript, Angular framework and My SQL database. Eventually, the system was tested in an authentic (real life) environment which included 10 teachers and 6 officers.The results showed overall (average) satisfaction level of ${bar{text x}} = 4.53$ (out of 5) whereas the extent of the satisfaction level toward the interface design of the system was${bar{text x}} = 4.79$, and the extent of the satisfaction level toward the data accuracy of the system was${bar{text x}} = 4.45$, and the extent of the satisfaction level toward the safety and security of the system was ${bar{text x}} = 4.16.$ This research provides a groundwork for further and future experiments and studies.
本研究的重点是设计和开发一个信息系统，以帮助公立/政府社区学院的副教育管理人员通过减少所需的纸质文件数量，更好地为所提供的课程选择/分配教师。以前，学院的传统系统通过纸质方式手动收集数据。然而，使用本研究设计、开发和实施的信息系统，副教育管理人员可以通过在线和透明的过程，从以下三个主要资源中以数字方式收集和访问所需的数据:(1)基于教师的学期前评价表，(2)基于教师的学期后评价表，(3)基于学生在评估相关教师时填写并提交给系统的评价表。因此，使用新系统，及时有效地制定了确定课程教师的标准流程，使官员能够根据教师提交的学期前和学期后的历史数据，以及学生对该教师的看法的反馈，更好地决定谁可能是教授课程的最佳选择。为了更好的实现系统，采用Eclipse Typescript、Visual Studio Code、Language Typescript、Angular框架和My SQL数据库，考虑并实践了SDLC (system Development Life Cycle)软件工程流程。最终，该系统在一个真实的(现实生活)环境中进行了测试，其中包括10名教师和6名军官。结果显示，总体(平均)满意度为${bar{text x}} = 4.53$(满分5分)，而对系统界面设计的满意度为${bar{text x}} = 4.79$，对系统数据准确性的满意度为${bar{text x}} = 4.45$，对系统的安全性和保密性的满意度为${bar{text x}} = 4.16 $。这项研究为进一步和未来的实验和研究奠定了基础。
{"title":"Design, Development, and Implementation of an Automized Information System for Community College Officers","authors":"Kotchanipa Kanprasert, Amornchai Tantimedh, Poohridate Arpasat, P. Palangsantikul, P. Porouhan, W. Premchaiswadi","doi":"10.1109/ICTKE.2018.8612421","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612421","url":null,"abstract":"This research is emphasized on the design and development of an information system for helping the associate education management officers of a public/governmental community college to better the efficiency of selecting/assigning a teacher for an offered course by reducing the number of paper documents needed. Previously, the traditional systems of the college used to collect their data manually through a paper-based approach. However, using the designed, developed and implemented information system in this study, the associate education management officers can digitally, an through an online and transparent process, collect and access the required data from 3 main resources as follows: (1) based on the teachers’ pre-semester evaluation forms, (2) based on the teachers’ post-semester evaluation forms, and (3) based on the students’ evaluation forms previously filled and submitted to the system while assessing the relevant teachers. Accordingly, using the new system, a standard process for determining a teacher for a course, in a timely and effective manner, was created in such a way that the officer could make a better decision about who might be the best alternative to teach a course relying on the history of the pre-semester and post-semester data submitted by teachers in addition to the feedbacks received from the students asking their perception regarding to that teacher. In order to better implement the system, the SDLC (System Development Life Cycle) software engineering process was considered and practiced by using the Eclipse Typescript, Visual Studio Code, Language Typescript, Angular framework and My SQL database. Eventually, the system was tested in an authentic (real life) environment which included 10 teachers and 6 officers.The results showed overall (average) satisfaction level of ${bar{text x}} = 4.53$ (out of 5) whereas the extent of the satisfaction level toward the interface design of the system was${bar{text x}} = 4.79$, and the extent of the satisfaction level toward the data accuracy of the system was${bar{text x}} = 4.45$, and the extent of the satisfaction level toward the safety and security of the system was ${bar{text x}} = 4.16.$ This research provides a groundwork for further and future experiments and studies.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117204182","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612336
Teresita R. Tolentino, A. Hernandez
This is a research-in-progress of developing a coffee eco-market with online bidding for different coffee stakeholders in selected provinces in the Philippines. The objective of this paper is to compare three different forecasting models using a five-year coffee production data. The three models explore and assess exponential smoothing, moving average, and regression. Different components such as seasonal, trend and irregular components are present in the data. Thus, the original data is adjusted by removing the seasonal component, trend component, and irregular component. For the computation of the forecasted values, the MS Excel data analysis tool is used. The standards used to measure the accuracy of each three model for comparison are the MAE, the MSE, and the MAPE. Among the three model, the moving average model rank first with a 9% error accuracy percentage, the next is the exponential smoothing with 12% error accuracy percentage, then the last is the regression with 14% error accuracy percentage.
{"title":"Assessment of Predictive Models for Coffee Production in the Philippines","authors":"Teresita R. Tolentino, A. Hernandez","doi":"10.1109/ICTKE.2018.8612336","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612336","url":null,"abstract":"This is a research-in-progress of developing a coffee eco-market with online bidding for different coffee stakeholders in selected provinces in the Philippines. The objective of this paper is to compare three different forecasting models using a five-year coffee production data. The three models explore and assess exponential smoothing, moving average, and regression. Different components such as seasonal, trend and irregular components are present in the data. Thus, the original data is adjusted by removing the seasonal component, trend component, and irregular component. For the computation of the forecasted values, the MS Excel data analysis tool is used. The standards used to measure the accuracy of each three model for comparison are the MAE, the MSE, and the MAPE. Among the three model, the moving average model rank first with a 9% error accuracy percentage, the next is the exponential smoothing with 12% error accuracy percentage, then the last is the regression with 14% error accuracy percentage.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125093139","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612384
Sanetoshi Yamada, S. Tajima, Y. Kajita, O. Uchida, Yoshiro Yamamoto
In Japan, various large-scale natural disasters occur every year. Thus, disaster education is conducted actively at schools in Japan to help alleviate the damage caused by natural disasters. However, according to various surveys, disaster prevention awareness among young people is lower than in other age groups in Japan. Therefore, we began working with a local government to create a disaster education program utilizing information and communication technology equipment such as smart phones to raise awareness of disaster prevention among young people. We believe it is desirable to prepare a disaster prevention education program by grasping awareness of disasters and various characteristics such as regional characteristics in advance. We conducted a questionnaire investigation to grasp junior high and high school students’ characteristics and current state of disaster prevention consciousness in Kanagawa Prefecture, Japan. In this paper, we report several important analysis results of this questionnaire.
{"title":"Visualization System for Disaster Prevention Awareness by Questionnaire of Junior High and High School Students","authors":"Sanetoshi Yamada, S. Tajima, Y. Kajita, O. Uchida, Yoshiro Yamamoto","doi":"10.1109/ICTKE.2018.8612384","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612384","url":null,"abstract":"In Japan, various large-scale natural disasters occur every year. Thus, disaster education is conducted actively at schools in Japan to help alleviate the damage caused by natural disasters. However, according to various surveys, disaster prevention awareness among young people is lower than in other age groups in Japan. Therefore, we began working with a local government to create a disaster education program utilizing information and communication technology equipment such as smart phones to raise awareness of disaster prevention among young people. We believe it is desirable to prepare a disaster prevention education program by grasping awareness of disasters and various characteristics such as regional characteristics in advance. We conducted a questionnaire investigation to grasp junior high and high school students’ characteristics and current state of disaster prevention consciousness in Kanagawa Prefecture, Japan. In this paper, we report several important analysis results of this questionnaire.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117085437","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612363
Chawit Rujichansiri, K. Kungcharoen, P. Palangsantikul, P. Porouhan, W. Premchaiswadi
The current work emphasizes on a Taxi rental company which possess 30 cars. In an effort to benchmark the company’s performance and functionality/usability system, the owner of the company decided to utilize the cars as much as possible in such a way to avoid any Taxi remaining in an idle/inactive status. The company’s system typically was consisted of the following steps as follows: a Taxi car is usually used by a pair of two different drivers within 24 hours so as the first driver takes care of the morning half-day, while the other one takes care of the night half-day. Doing this can help the company to maximum its monetization process leading to optimum revenue and profits. However, one of the problems associated with the current system is that, in case any of the driver pairs will not be able to come to work punctually, then this is going to affect the overall time scheduling of the driving plan for that day leading to time conflict and loss of money for the company. Accordingly, the selection of the appropriate pair of drivers is crucial for the owner of the company. To solve these issues and in order to address the above-mentioned problems, a Process Mining technique based on the Social Network Analysis algorithm was applied and used with the intention of better analyzing and investigating the behavior of the drivers so as to select the best "pair" of drivers for the relevant working days. Subsequently, by using the resulting/generated Social Network graphs/models, the owner of the company was capable of simulating and illustrating the relationships and communicational dependencies amongst the drivers. Due to the fact that the company was using a very traditional way of data collection, therefore, the data was captured and stored manually within a paper-based approach. Nevertheless, this work can provide groundwork for further and future studies and research in such a way that several Process Mining techniques (including Social Network Mining methods) can be applied in versatile scenarios and situations whereas the data is typically captured, gathered and stored manually.
{"title":"Pair Selection of Appropriate Taxi Drivers Using Social Network Analysis Models","authors":"Chawit Rujichansiri, K. Kungcharoen, P. Palangsantikul, P. Porouhan, W. Premchaiswadi","doi":"10.1109/ICTKE.2018.8612363","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612363","url":null,"abstract":"The current work emphasizes on a Taxi rental company which possess 30 cars. In an effort to benchmark the company’s performance and functionality/usability system, the owner of the company decided to utilize the cars as much as possible in such a way to avoid any Taxi remaining in an idle/inactive status. The company’s system typically was consisted of the following steps as follows: a Taxi car is usually used by a pair of two different drivers within 24 hours so as the first driver takes care of the morning half-day, while the other one takes care of the night half-day. Doing this can help the company to maximum its monetization process leading to optimum revenue and profits. However, one of the problems associated with the current system is that, in case any of the driver pairs will not be able to come to work punctually, then this is going to affect the overall time scheduling of the driving plan for that day leading to time conflict and loss of money for the company. Accordingly, the selection of the appropriate pair of drivers is crucial for the owner of the company. To solve these issues and in order to address the above-mentioned problems, a Process Mining technique based on the Social Network Analysis algorithm was applied and used with the intention of better analyzing and investigating the behavior of the drivers so as to select the best \"pair\" of drivers for the relevant working days. Subsequently, by using the resulting/generated Social Network graphs/models, the owner of the company was capable of simulating and illustrating the relationships and communicational dependencies amongst the drivers. Due to the fact that the company was using a very traditional way of data collection, therefore, the data was captured and stored manually within a paper-based approach. Nevertheless, this work can provide groundwork for further and future studies and research in such a way that several Process Mining techniques (including Social Network Mining methods) can be applied in versatile scenarios and situations whereas the data is typically captured, gathered and stored manually.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132593649","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}
The Internet of Things is a network of smart sensors that can control and monitor things from anywhere over the Internet. This smart system can be used to improve the productivity and quality of modern farming. Therefore, the present research aimed to propose a smart farming application powered by the Internet of Things. In this research, the prototype of a smart capsule was developed to measure the humidity in paddy bags stored in various locations within a warehouse. This smart capsule used Node MCU ESP8266 microcontroller and the SHT21 humidity sensor to send data to the Blynk server over a Wi-Fi network. Arduino IDE was used to write a C++ code for the microcontroller. The Blynk mobile application was used to monitor and display real-time humidity data through the digital dashboard. The collected humidity data were further analyzed and used to develop a paddy storage system for the future. In addition, when the smart capsule lost contact with the Blynk server, a notification was sent to responsible persons in a timely manner. The research results indicated that the developed smart capsules and Blynk application can effectively work together and are deemed suitable for use in smart farming.
{"title":"Smart Farm Monitoring via the Blynk IoT Platform : Case Study: Humidity Monitoring and Data Recording","authors":"Peerasak Serikul, Nuttapun Nakpong, Nitigan Nakjuatong","doi":"10.1109/ICTKE.2018.8612441","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612441","url":null,"abstract":"The Internet of Things is a network of smart sensors that can control and monitor things from anywhere over the Internet. This smart system can be used to improve the productivity and quality of modern farming. Therefore, the present research aimed to propose a smart farming application powered by the Internet of Things. In this research, the prototype of a smart capsule was developed to measure the humidity in paddy bags stored in various locations within a warehouse. This smart capsule used Node MCU ESP8266 microcontroller and the SHT21 humidity sensor to send data to the Blynk server over a Wi-Fi network. Arduino IDE was used to write a C++ code for the microcontroller. The Blynk mobile application was used to monitor and display real-time humidity data through the digital dashboard. The collected humidity data were further analyzed and used to develop a paddy storage system for the future. In addition, when the smart capsule lost contact with the Blynk server, a notification was sent to responsible persons in a timely manner. The research results indicated that the developed smart capsules and Blynk application can effectively work together and are deemed suitable for use in smart farming.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"649 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113982132","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}
Nowadays, data is being generated by so many devices, therefore the term big data. This paper attempts to offer a broader definition of big data that captures its defining characteristics. This paper also reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. With the abundance of data, comes the prediction models along with the machine learning that has been trained, the executives will become better at their decision-making process.
{"title":"Big Data, Predictive Analytics and Machine Learning","authors":"Pariwat Ongsulee, Veena Chotchaung, Eak Bamrungsi, Thanaporn Rodcheewit","doi":"10.1109/ICTKE.2018.8612393","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612393","url":null,"abstract":"Nowadays, data is being generated by so many devices, therefore the term big data. This paper attempts to offer a broader definition of big data that captures its defining characteristics. This paper also reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to \"learn\" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. With the abundance of data, comes the prediction models along with the machine learning that has been trained, the executives will become better at their decision-making process.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130684035","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612381
Jettada Sakchaikun, Sompong Tumswadi, P. Palangsantikul, P. Porouhan, W. Premchaiswadi
In this paper, the data was initially collected from an IT service department which aimed to handle the computer equipment/server problems and requests of customers whom contacted the company. The IT company has developed a help-desk service in which anyone who requests for any IT service will have to come to this service for help, and the system will automatically generate a ticket for each of the request (i.e., registration number, type of the problem, etc.) and then the system will arrange and assign the work between the a group of IT staff including 5 people in order to address the mentioned customer’s problem. The order and sequence of the IT staff to handle the problems is alternatively changed one by one. For example, if the first problem is addressed by IT Expert #1, the second problem is handled by IT Expert #2, and so on until the IT Expert #5, which one cycle is completed and then the forthcoming tasks will be started from IT Expert #1 again. In order to increase the level of the customer satisfaction, the company has set a guideline for each IT Expert in such a way that they need to finish every request (assigned task) within a maximum of 4 hours during the working hours (i.e., 9-12 AM and 1-4 PM). However, the problem that currently the company is facing is that, for some tasks it takes more than 4 hours to handle the customers’ requests. In order to discover and investigate what are the main reasons of such delays, and in order to solve the problem, a process discovery Process Mining technique so-called Fuzzy Miner —in terms of both Time Performance and Frequency-Based Analysis metrics— were applied on the collected event logs. Quite surprisingly, the results of the Fuzzy Miner models (based on Time Performance metric) showed that the average time gap between the opening ticket and closing ticket is 4 days, rather than the 4 hours, which is much longer than the targeted guideline. In addition, the results of the Fuzzy Miner models (based on Frequency-Based) could reveal on the sequence and order of the way the activities have been executed and performed while addressing the customers’ requests. However, using the Fuzzy Miner techniques did not shed light on the main reasons of the long delays throughout the repairing/customer service process. Accordingly, another type of process mining technique so-called Social Network Miner (based on Handover of Task metric) was used in order to better study the relationships and communicational dependencies amongst the experts. According to the resulting social network graphs, it was understood that out the 5 IT Experts, only 4 of them has really handled most of the workload, while 1 of them performed only 5 tasks per year. By further zooming on this guy, it was realized that not only this guy has performed and accomplished very few number of tasks per year but he has transferred almost all of his assigned tasks to others as well, playing absolutely an inactive and idle role throughout the year.
{"title":"IT Help Desk Service Workflow Relationship with Process Mining","authors":"Jettada Sakchaikun, Sompong Tumswadi, P. Palangsantikul, P. Porouhan, W. Premchaiswadi","doi":"10.1109/ICTKE.2018.8612381","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612381","url":null,"abstract":"In this paper, the data was initially collected from an IT service department which aimed to handle the computer equipment/server problems and requests of customers whom contacted the company. The IT company has developed a help-desk service in which anyone who requests for any IT service will have to come to this service for help, and the system will automatically generate a ticket for each of the request (i.e., registration number, type of the problem, etc.) and then the system will arrange and assign the work between the a group of IT staff including 5 people in order to address the mentioned customer’s problem. The order and sequence of the IT staff to handle the problems is alternatively changed one by one. For example, if the first problem is addressed by IT Expert #1, the second problem is handled by IT Expert #2, and so on until the IT Expert #5, which one cycle is completed and then the forthcoming tasks will be started from IT Expert #1 again. In order to increase the level of the customer satisfaction, the company has set a guideline for each IT Expert in such a way that they need to finish every request (assigned task) within a maximum of 4 hours during the working hours (i.e., 9-12 AM and 1-4 PM). However, the problem that currently the company is facing is that, for some tasks it takes more than 4 hours to handle the customers’ requests. In order to discover and investigate what are the main reasons of such delays, and in order to solve the problem, a process discovery Process Mining technique so-called Fuzzy Miner —in terms of both Time Performance and Frequency-Based Analysis metrics— were applied on the collected event logs. Quite surprisingly, the results of the Fuzzy Miner models (based on Time Performance metric) showed that the average time gap between the opening ticket and closing ticket is 4 days, rather than the 4 hours, which is much longer than the targeted guideline. In addition, the results of the Fuzzy Miner models (based on Frequency-Based) could reveal on the sequence and order of the way the activities have been executed and performed while addressing the customers’ requests. However, using the Fuzzy Miner techniques did not shed light on the main reasons of the long delays throughout the repairing/customer service process. Accordingly, another type of process mining technique so-called Social Network Miner (based on Handover of Task metric) was used in order to better study the relationships and communicational dependencies amongst the experts. According to the resulting social network graphs, it was understood that out the 5 IT Experts, only 4 of them has really handled most of the workload, while 1 of them performed only 5 tasks per year. By further zooming on this guy, it was realized that not only this guy has performed and accomplished very few number of tasks per year but he has transferred almost all of his assigned tasks to others as well, playing absolutely an inactive and idle role throughout the year. ","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776683","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612314
Anchalee Hiranphaet
This research has objectives ; 1. To find the characteristics of supply chain management of cultivated banana in Nakhon Pathom Province. 2. To study analysis of supply chain management of banana in Nakhon Pathom province. 3. To introduce supply chain management system to the farmers and suggest their supply chain management. An analysis of the supply chain management process and the operating conditions of banana growers in Nakhon Pathom province. There are ways to conduct research with participatory methods. Participatory Action Research (PAR) is a qualitative research method. The quantitative research method was used to collect 400 (Divided into Muang district select 49 household, Banglend district select 27 household, Khampengsan district select 12 household, Nakonchaisri district select 40 household, Samphan district selet 82 household, Doontum district select 146 household, Phuthamonthon districst 44 household) qualitative quantitative data.The data gathering for this research used questionnaire and In-depth Interview with Structured Interview for question interviewing and focus group discussion. The researcher divided data gathering methods are primary and secondary data by studied others sources related conceptual framework and others researches about cultivated banana supply chain management such as journal, article, textbook and researches. This research has 4 assistants and plan before operate interview in each step. According questionnaire and interview by gathering questionnaire and interview method observe behavior for conclusion. Then research team check accurate and completely data after that arrange manual and public research in cultivated banana supply chain management.The research found that. The management of the banana growers in Nakhon Pathom province by considering SCOR Model management process found that there is a link work process is related to: 1. Planning is planned from the selection of cultivated banana and some are grown according to the needs of customers. The seedlings have a good source of procurement. 3. Cultivation of seedlings is a step by step. 4. The production of banana leaves can harvest the whole crop. Any part of banana can be useful to all. 5. Transportation has the choice of transportation in convenience. 6. Distribution. When there are some products, customers come to buy in the garden. Some sell to the market. 7. Return when goods are not sold or damaged during transportation will be returned to the animal or into the fertilizer. If not too much, it may be eaten by yourself. And good supply chain management of good bananas must be connected to the supply chain, divided by the flow of goods including the flow of data back and forth, farmers to plan their cultivation properly.
{"title":"The supply chain management of the cultivated banana in Nakhon Pathom","authors":"Anchalee Hiranphaet","doi":"10.1109/ICTKE.2018.8612314","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612314","url":null,"abstract":"This research has objectives ; 1. To find the characteristics of supply chain management of cultivated banana in Nakhon Pathom Province. 2. To study analysis of supply chain management of banana in Nakhon Pathom province. 3. To introduce supply chain management system to the farmers and suggest their supply chain management. An analysis of the supply chain management process and the operating conditions of banana growers in Nakhon Pathom province. There are ways to conduct research with participatory methods. Participatory Action Research (PAR) is a qualitative research method. The quantitative research method was used to collect 400 (Divided into Muang district select 49 household, Banglend district select 27 household, Khampengsan district select 12 household, Nakonchaisri district select 40 household, Samphan district selet 82 household, Doontum district select 146 household, Phuthamonthon districst 44 household) qualitative quantitative data.The data gathering for this research used questionnaire and In-depth Interview with Structured Interview for question interviewing and focus group discussion. The researcher divided data gathering methods are primary and secondary data by studied others sources related conceptual framework and others researches about cultivated banana supply chain management such as journal, article, textbook and researches. This research has 4 assistants and plan before operate interview in each step. According questionnaire and interview by gathering questionnaire and interview method observe behavior for conclusion. Then research team check accurate and completely data after that arrange manual and public research in cultivated banana supply chain management.The research found that. The management of the banana growers in Nakhon Pathom province by considering SCOR Model management process found that there is a link work process is related to: 1. Planning is planned from the selection of cultivated banana and some are grown according to the needs of customers. The seedlings have a good source of procurement. 3. Cultivation of seedlings is a step by step. 4. The production of banana leaves can harvest the whole crop. Any part of banana can be useful to all. 5. Transportation has the choice of transportation in convenience. 6. Distribution. When there are some products, customers come to buy in the garden. Some sell to the market. 7. Return when goods are not sold or damaged during transportation will be returned to the animal or into the fertilizer. If not too much, it may be eaten by yourself. And good supply chain management of good bananas must be connected to the supply chain, divided by the flow of goods including the flow of data back and forth, farmers to plan their cultivation properly.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134205252","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 : 2018-11-01DOI: 10.1109/ICTKE.2018.8612412
K. Chooruang, Kraison Meekul
In this paper, we design and implement a low-cost IoT energy monitoring system that can be used in many applications, such as electricity billing system, energy management in smart grid and home automation. The design is based on a low-cost PZEM-004T, using non-invasive CT sensors, SD3004 electric energy measurement chip and ESP8266 Wemos D1 mini microcontroller for retrieving data from sensor nodes and sending data to server via internet. The experimental results showed that the developed energy monitoring system can successfully record the voltage, current, active power and accumulative power consumption.
{"title":"Design of an IoT Energy Monitoring System","authors":"K. Chooruang, Kraison Meekul","doi":"10.1109/ICTKE.2018.8612412","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612412","url":null,"abstract":"In this paper, we design and implement a low-cost IoT energy monitoring system that can be used in many applications, such as electricity billing system, energy management in smart grid and home automation. The design is based on a low-cost PZEM-004T, using non-invasive CT sensors, SD3004 electric energy measurement chip and ESP8266 Wemos D1 mini microcontroller for retrieving data from sensor nodes and sending data to server via internet. The experimental results showed that the developed energy monitoring system can successfully record the voltage, current, active power and accumulative power consumption.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124565781","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}
Implementing an ERP systemfor large enterprises (LE) is a challenge undertaking. Previous studies reported on various factors attributed to implementation failures in LE that are difficult to handle. Those are, for instance, inappropriately designed business processes, lack of clarity about changes, change management, communication issues, and poor project management. In Thailand, there are notable shortages of empirical case studies in the Information System field, research on ERP included. Our study serves as a source of empirical evidences showing how the implementation of ERP software were carried out in different manner in a case of SME and a large-scaled enterprise. We identified core activities and critical success factors that drive certain mechanisms during each stage of the implementation life cycle. The findings were based on a series of in-depth interviews with the case key informants. The insights gained fromthe analysis could assist project planning and decision making, and hopefully minimizing the chance of ERP project failure.
{"title":"An Investigation of ERP implementation: : A Comparative Case Study of SME and Large Enterprises in Thailand","authors":"Nattakarn Phaphoom, Jian Qu, Adisorn Kheaksong, Wongduan Saelee","doi":"10.1109/ICTKE.2018.8612401","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612401","url":null,"abstract":"Implementing an ERP systemfor large enterprises (LE) is a challenge undertaking. Previous studies reported on various factors attributed to implementation failures in LE that are difficult to handle. Those are, for instance, inappropriately designed business processes, lack of clarity about changes, change management, communication issues, and poor project management. In Thailand, there are notable shortages of empirical case studies in the Information System field, research on ERP included. Our study serves as a source of empirical evidences showing how the implementation of ERP software were carried out in different manner in a case of SME and a large-scaled enterprise. We identified core activities and critical success factors that drive certain mechanisms during each stage of the implementation life cycle. The findings were based on a series of in-depth interviews with the case key informants. The insights gained fromthe analysis could assist project planning and decision making, and hopefully minimizing the chance of ERP project failure.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129246090","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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