Pub Date : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415813
N. M. Saad, R. Sudirman, A. Abdullah, N. Hamid, C. Omar, M. Sabri
This paper provides a mobile apparatus for medical application which comprises a medical trolley, automatic guidance, a wireless controller, human follower using ultrasonic sensors, an obstacle avoiding detection device, an IP camera, a smartphone touch screen controller, an integrated power supply, and a processor. The trolley with stainless steel shelves is ideal for use in clinical environments and operation theatres. The wireless remote drives the trolley to move forward and backward. An IP camera is attached to the trolley to provide visual guidance controlled using a smartphone. The system uses ultrasonic sensors for human follower. Arduino Development Board is used as the processor for the automated mobile trolley system. The implementation of the system can save a large amount of space. The workload of medical workers will be greatly relieved and the working efficiency can be improved.
{"title":"Mobile Trolley for Medical Applications","authors":"N. M. Saad, R. Sudirman, A. Abdullah, N. Hamid, C. Omar, M. Sabri","doi":"10.1109/ICCED51276.2020.9415813","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415813","url":null,"abstract":"This paper provides a mobile apparatus for medical application which comprises a medical trolley, automatic guidance, a wireless controller, human follower using ultrasonic sensors, an obstacle avoiding detection device, an IP camera, a smartphone touch screen controller, an integrated power supply, and a processor. The trolley with stainless steel shelves is ideal for use in clinical environments and operation theatres. The wireless remote drives the trolley to move forward and backward. An IP camera is attached to the trolley to provide visual guidance controlled using a smartphone. The system uses ultrasonic sensors for human follower. Arduino Development Board is used as the processor for the automated mobile trolley system. The implementation of the system can save a large amount of space. The workload of medical workers will be greatly relieved and the working efficiency can be improved.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130139726","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415763
Dede Permana, Utomo
This paper offers a examine of the use of stereoscopic 3D images in science learning in elementary to enchance students scientific attitudes. Science learning is learning that students like. The study was designed as one group, pre-test post-test experimental research. Attitudes scale towards Science lesson and Torrance Creative Thinking Test Verbal A-B forms were used as pre-test and post-test. In addition, open-ended interview form was used in order to find out the students' views on the project. For the analysis of quantitative data, non-parametric tests Wilcoxon signed ranks test and Mann Whitney-U test were used while a parametric test, t-test for dependent and independent samples was used for creative thinking test scores. For qualitative data analysis, content analysis method was used. The results of the study showed that the project was effective in increasing the students' attitudes towards the subject of science and their levels of creative thinking; at the same time it was found that using different learning environments attracted the students' interests on learning science and affected them positively towards science
{"title":"Enhance Scientific Attitudes Using Stereoscopic 3D Images in Primary School","authors":"Dede Permana, Utomo","doi":"10.1109/ICCED51276.2020.9415763","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415763","url":null,"abstract":"This paper offers a examine of the use of stereoscopic 3D images in science learning in elementary to enchance students scientific attitudes. Science learning is learning that students like. The study was designed as one group, pre-test post-test experimental research. Attitudes scale towards Science lesson and Torrance Creative Thinking Test Verbal A-B forms were used as pre-test and post-test. In addition, open-ended interview form was used in order to find out the students' views on the project. For the analysis of quantitative data, non-parametric tests Wilcoxon signed ranks test and Mann Whitney-U test were used while a parametric test, t-test for dependent and independent samples was used for creative thinking test scores. For qualitative data analysis, content analysis method was used. The results of the study showed that the project was effective in increasing the students' attitudes towards the subject of science and their levels of creative thinking; at the same time it was found that using different learning environments attracted the students' interests on learning science and affected them positively towards science","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122347888","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415764
Henry Antonius Eka Widjaja, Meyliana, Erick Fernando, Surjandy, A. Condrobimo, Denardo Grady, Bellarika Liejaya, Mareta Puspa Siwi
This study analyzes the measurement of the implementation of enterprise resource planning technology (ERP) systems at a university and their application to the human capital management (HCM) section. The analysis was done by building a model with a model approach that was developed by Yu on the success measurement model for the ERP system, the theory of the IS success model DeLone & McLean and the conceptual model to measure the quality benefits from Deshmukh, Thampi and Kalamkar became an ERP model Quality The analysis was carried out with smart pls software, and conducted questioners on 32 respondents in the institution. The results showed that the measurement results of the instrument had met the validity and reliability tests. Factors affecting the implementation of ERP systems on HCM are based on testing factors that have a partial effect on perceived ERP benefits are system quality, information quality, vendor quality, top management support, project management. However, other variables (training, hardware and software and skill of workforce) have less effect on perceived ERP benefits. Simultaneous hypothesis testing, all variables studied (ERP quality) affect the perceived ERP benefit. There is a positive and significant influence on the variable perceived ERP benefit on the success of the ERP system.
{"title":"Analysis Measurement of Implementation Enterprise Resource Planning on Human Resource Management in University XYZ","authors":"Henry Antonius Eka Widjaja, Meyliana, Erick Fernando, Surjandy, A. Condrobimo, Denardo Grady, Bellarika Liejaya, Mareta Puspa Siwi","doi":"10.1109/ICCED51276.2020.9415764","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415764","url":null,"abstract":"This study analyzes the measurement of the implementation of enterprise resource planning technology (ERP) systems at a university and their application to the human capital management (HCM) section. The analysis was done by building a model with a model approach that was developed by Yu on the success measurement model for the ERP system, the theory of the IS success model DeLone & McLean and the conceptual model to measure the quality benefits from Deshmukh, Thampi and Kalamkar became an ERP model Quality The analysis was carried out with smart pls software, and conducted questioners on 32 respondents in the institution. The results showed that the measurement results of the instrument had met the validity and reliability tests. Factors affecting the implementation of ERP systems on HCM are based on testing factors that have a partial effect on perceived ERP benefits are system quality, information quality, vendor quality, top management support, project management. However, other variables (training, hardware and software and skill of workforce) have less effect on perceived ERP benefits. Simultaneous hypothesis testing, all variables studied (ERP quality) affect the perceived ERP benefit. There is a positive and significant influence on the variable perceived ERP benefit on the success of the ERP system.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122549945","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415863
Edi Irawan, T. Mantoro, M. A. Ayu, J. Asian
Face recognition plays massive role in the biometric identification. On behalf of its usability, face recognition is developed more advanced in term of the accuracy. The use of face recognition as biometric identification varies from security surveillance to business purposes. However, the existing methods for face recognition are mostly for close distance and single face purpose only, meanwhile the demand for face recognition has come into recognizing multi faces in a certain crowdy place. Thus, it is required to select the most suitable approach in order to face this challenge. This study proposes Support Vector Machine (SVM) as the classification method and Histogram of Gradient (HoG) as the feature extraction of the image. This study is expected to give the best recommendation for developing multi face recognition in crowd considering the accuracy given by the proposed method. The result of efficiency and performance is shown by the simulation and analysis.
{"title":"Multi-Faces Recognition in Crowd Using Support Vector Machine on Histogram of Gradient","authors":"Edi Irawan, T. Mantoro, M. A. Ayu, J. Asian","doi":"10.1109/ICCED51276.2020.9415863","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415863","url":null,"abstract":"Face recognition plays massive role in the biometric identification. On behalf of its usability, face recognition is developed more advanced in term of the accuracy. The use of face recognition as biometric identification varies from security surveillance to business purposes. However, the existing methods for face recognition are mostly for close distance and single face purpose only, meanwhile the demand for face recognition has come into recognizing multi faces in a certain crowdy place. Thus, it is required to select the most suitable approach in order to face this challenge. This study proposes Support Vector Machine (SVM) as the classification method and Histogram of Gradient (HoG) as the feature extraction of the image. This study is expected to give the best recommendation for developing multi face recognition in crowd considering the accuracy given by the proposed method. The result of efficiency and performance is shown by the simulation and analysis.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115391871","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415865
Bambang Parikenan, Kevin Christian Sianipar, Angga Kurniawan, D. I. Sensuse, Sofian Lusa
Knowledge management is needed by WWF Indonesia's organization to record tacit knowledge from the organization's personnel. The organization has tried to implement knowledge management, but until now it has not been going well. Knowledge sharing culture is identified as one of the causes behind the failure of knowledge management in organizations. This research was conducted to find out what cultural factors caused the failure of the knowledge sharing at WWF Indonesia. Cultural factors were identified from previous literature studies, so that a model was formed to test the validity and reliability of each factor. The validity test results show the model is valid and reliable with a value. In addition, 100 answers to the questionnaire were identified, 3 categories of culture that did not work well in the organization are the compensation system, open communication, and trust.
{"title":"Analysis of Organizational Culture Factors in the Knowledge Sharing in Non-Governmental Organization (NGO): Case Study WWF Indonesia","authors":"Bambang Parikenan, Kevin Christian Sianipar, Angga Kurniawan, D. I. Sensuse, Sofian Lusa","doi":"10.1109/ICCED51276.2020.9415865","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415865","url":null,"abstract":"Knowledge management is needed by WWF Indonesia's organization to record tacit knowledge from the organization's personnel. The organization has tried to implement knowledge management, but until now it has not been going well. Knowledge sharing culture is identified as one of the causes behind the failure of knowledge management in organizations. This research was conducted to find out what cultural factors caused the failure of the knowledge sharing at WWF Indonesia. Cultural factors were identified from previous literature studies, so that a model was formed to test the validity and reliability of each factor. The validity test results show the model is valid and reliable with a value. In addition, 100 answers to the questionnaire were identified, 3 categories of culture that did not work well in the organization are the compensation system, open communication, and trust.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511042","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 technologies around social media has changed how people connect with others, how they access information even how they organize their political point of view. The vast technologies has made the message can be sent quickly, become widespread and even viral. The drawback of this technology is people can post anything, from the positive content to negative content and it can be viral. Information contains negative content or known as hate speech can encourage conflicts between groups in society. In Indonesia, there is no automated mechanism to detect whether the information in social media is hate speech or not. Therefore, it could takes time to identify a hate speech. A starting point to identify hate speech is the use of offensive words and slurs the in feature. Once the offensive words are identified, we can classified the tweet into hate speech or not. Machine learning can be used to identify potential hate speech in collection of text. This paper aims to identify the offensive words using machine learning approach.
{"title":"Identifying the Offensive Words in the Twitter Using Latent Semantic Analysis","authors":"Nahumi Nugrahaningsih, Ariesta Lestari, Devi Karolita","doi":"10.1109/ICCED51276.2020.9415773","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415773","url":null,"abstract":"The technologies around social media has changed how people connect with others, how they access information even how they organize their political point of view. The vast technologies has made the message can be sent quickly, become widespread and even viral. The drawback of this technology is people can post anything, from the positive content to negative content and it can be viral. Information contains negative content or known as hate speech can encourage conflicts between groups in society. In Indonesia, there is no automated mechanism to detect whether the information in social media is hate speech or not. Therefore, it could takes time to identify a hate speech. A starting point to identify hate speech is the use of offensive words and slurs the in feature. Once the offensive words are identified, we can classified the tweet into hate speech or not. Machine learning can be used to identify potential hate speech in collection of text. This paper aims to identify the offensive words using machine learning approach.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427435","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415864
Wha Wha Adytoma, A. Huda, D. Maylawati, Nunik Destria Arianti, W. Darmalaksana, A. Rahman, M. Ramdhani
Automatic text summarization is one of Natural Language Processing technology to create a summary automatically by not changing the core or main idea of a summarized document. According to the agreement of the majority of Muslim scholars, Hadith is a second source of Muslim's life guideline. This study aims to extract the main meaning of Hadith document using automatic text summarization. The method used in this study is Bellman-Ford Algorithm from graph theory to extract and score the sentence based on the closeness and interconnection between sentences. The Hadith summary which resulted from Bellman-Ford algorithm is evaluated using Recall-Oriented Understudy for Gisting Evaluation - Longest Common Subsequence (ROUGE-L) metrics. Based on experiment using 20 Hadith documents with Indonesian text and ROUGE-L metrics evaluation, the summary results from sentence extraction are influenced by the type of similarity formula between sentences. The result shows that an average value of precision is 46.5%, recall value is 56% recall and f-score 49.5%. The evaluation result is not good enough because the summary result is extraction summary, while the summary evaluation database is abstraction summary. However, from human evaluation, this research contributes to understand the contents of the Hadith with a shorter text but does not eliminate the essence of the Hadith itself.
{"title":"Automatic Text Summarization for Hadith with Indonesian Text using Bellman-Ford Algorithm","authors":"Wha Wha Adytoma, A. Huda, D. Maylawati, Nunik Destria Arianti, W. Darmalaksana, A. Rahman, M. Ramdhani","doi":"10.1109/ICCED51276.2020.9415864","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415864","url":null,"abstract":"Automatic text summarization is one of Natural Language Processing technology to create a summary automatically by not changing the core or main idea of a summarized document. According to the agreement of the majority of Muslim scholars, Hadith is a second source of Muslim's life guideline. This study aims to extract the main meaning of Hadith document using automatic text summarization. The method used in this study is Bellman-Ford Algorithm from graph theory to extract and score the sentence based on the closeness and interconnection between sentences. The Hadith summary which resulted from Bellman-Ford algorithm is evaluated using Recall-Oriented Understudy for Gisting Evaluation - Longest Common Subsequence (ROUGE-L) metrics. Based on experiment using 20 Hadith documents with Indonesian text and ROUGE-L metrics evaluation, the summary results from sentence extraction are influenced by the type of similarity formula between sentences. The result shows that an average value of precision is 46.5%, recall value is 56% recall and f-score 49.5%. The evaluation result is not good enough because the summary result is extraction summary, while the summary evaluation database is abstraction summary. However, from human evaluation, this research contributes to understand the contents of the Hadith with a shorter text but does not eliminate the essence of the Hadith itself.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126964403","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415776
Paikun, Nova Dwi Prastyo, Rival Fadilah, R. Muhamad, T. Kadri
Classrooms are the main means of education and learning activities. Based on statistics from the Ministry of Education and Culture in 2018–2019, in Indonesia there were 38,960 schools, 10,125,724 students, 358,361 classrooms, and 354,518 study groups. From a number of these classrooms there are damaged classrooms with conditions, minor damage 193,927, middle damage 26,324, major damage 20,116, and totally damage 11,548. So that junior high schools in Indonesia need to add 15,931 classrooms. School construction must be self-managed, but most in the Education unit do not have adequate human resources to be able to predict the needs of construction project resources Existing methods require special expertise, need complete data, take a long time and can be declared difficult, because there is no easy and accurate formula. Based on these problems there needs to be a solution, and this research has provided a solution that is the model. In this model there is a multiplier coefficient to determine the total cost, the amount of material, and the number of manpower in a new classroom construction project. These models are obtained from the results of research using a quantitative descriptive method approach. The primary data used were 45 random sampling data, obtained directly from the school construction committee as many as 40 data, and the project documents for which the construction was carried out by researchers were 5 data. Data analysis uses a combination of BOW method, numerical method and regression analysis method. These models have been tested for validity and the results are accurate, there is only an average difference of under 5%. Using these models, to predict school construction resources, it is enough to enter the school building area data alone, can save a lot of time, and can be used without having special construction engineering expertise.
{"title":"Regression Analysis Model for Estimating the Resource Needs of School Construction Projects","authors":"Paikun, Nova Dwi Prastyo, Rival Fadilah, R. Muhamad, T. Kadri","doi":"10.1109/ICCED51276.2020.9415776","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415776","url":null,"abstract":"Classrooms are the main means of education and learning activities. Based on statistics from the Ministry of Education and Culture in 2018–2019, in Indonesia there were 38,960 schools, 10,125,724 students, 358,361 classrooms, and 354,518 study groups. From a number of these classrooms there are damaged classrooms with conditions, minor damage 193,927, middle damage 26,324, major damage 20,116, and totally damage 11,548. So that junior high schools in Indonesia need to add 15,931 classrooms. School construction must be self-managed, but most in the Education unit do not have adequate human resources to be able to predict the needs of construction project resources Existing methods require special expertise, need complete data, take a long time and can be declared difficult, because there is no easy and accurate formula. Based on these problems there needs to be a solution, and this research has provided a solution that is the model. In this model there is a multiplier coefficient to determine the total cost, the amount of material, and the number of manpower in a new classroom construction project. These models are obtained from the results of research using a quantitative descriptive method approach. The primary data used were 45 random sampling data, obtained directly from the school construction committee as many as 40 data, and the project documents for which the construction was carried out by researchers were 5 data. Data analysis uses a combination of BOW method, numerical method and regression analysis method. These models have been tested for validity and the results are accurate, there is only an average difference of under 5%. Using these models, to predict school construction resources, it is enough to enter the school building area data alone, can save a lot of time, and can be used without having special construction engineering expertise.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121962013","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415826
Somantri, Rangga Turnadi, Erwin Gunawan, Yana Mulia
Tsunami occurs quite often in Indonesia. It is inseparable from the geographical facts of Indonesia located on three main tectonic plates. Palabuhanratu is one of the regions that have tsunami potential. Considering these matters, the existence of the best evacuation path to evacuate citizens becomes so essential. This research aims to find the best evacuation path in the district. The best evacuation path is searched using the Clustering Method and the Dijkstra algorithm. In this article, the best evacuation path results are grouped based on evacuation and safe zone locations. Further, a comparison of this research results and another method from reference is in a good agreement.
{"title":"Tsunami Evacuation System with Cluster Method And Dijkstra Algorithm Based Mobile Application In Palabuhanratu, West Java, Indonesia","authors":"Somantri, Rangga Turnadi, Erwin Gunawan, Yana Mulia","doi":"10.1109/ICCED51276.2020.9415826","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415826","url":null,"abstract":"Tsunami occurs quite often in Indonesia. It is inseparable from the geographical facts of Indonesia located on three main tectonic plates. Palabuhanratu is one of the regions that have tsunami potential. Considering these matters, the existence of the best evacuation path to evacuate citizens becomes so essential. This research aims to find the best evacuation path in the district. The best evacuation path is searched using the Clustering Method and the Dijkstra algorithm. In this article, the best evacuation path results are grouped based on evacuation and safe zone locations. Further, a comparison of this research results and another method from reference is in a good agreement.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121111724","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 : 2020-10-15DOI: 10.1109/ICCED51276.2020.9415861
Henry Antonius Eka Widjaja, Surjandy, Meyliana, Merry Marshela, Angélica, Renita Amalia, K. Oktriono, Erick Fernando, Y. Eni, A. Condrobimo
Payment Financial Technology (FinTech) has rapidly developed in Indonesia. In this case, Payment FinTech enables people to perform the transaction comfortably, such as for electricity bill payment, food ordering, and purchasing the game accessories. However, FinTech payment emerges the issues to the customer as well. In this part, several problems are encountered by Fintech payment system. In this background, the payment system in Indonesia is regulated by the central bank. Technically, the payment must comply with the four principles of payment system such as secure, effective, fairness, and customer protection. Therefore, this quantitative research explores the four principles of payment system towards the intention of the FinTech payment system, especially for OVO customers. SPSS application facilitates the process, and the linear regression technique applies to analyze the data based on the model. The process is conducted partially and simultaneously. The partial result of the research indicates the efficiency variable and fairness variable that has a significant influence on the intention of the utilization. However, the concurrent process for all variables presents a considerable result of the intention of the utilization factor. The research results significantly contribute to future improvement feedback and development in the industry.
{"title":"Analysis of Payment System Factors towards the Intention of Fintech Payment: A Case study of OVO Customer in Indonesia","authors":"Henry Antonius Eka Widjaja, Surjandy, Meyliana, Merry Marshela, Angélica, Renita Amalia, K. Oktriono, Erick Fernando, Y. Eni, A. Condrobimo","doi":"10.1109/ICCED51276.2020.9415861","DOIUrl":"https://doi.org/10.1109/ICCED51276.2020.9415861","url":null,"abstract":"Payment Financial Technology (FinTech) has rapidly developed in Indonesia. In this case, Payment FinTech enables people to perform the transaction comfortably, such as for electricity bill payment, food ordering, and purchasing the game accessories. However, FinTech payment emerges the issues to the customer as well. In this part, several problems are encountered by Fintech payment system. In this background, the payment system in Indonesia is regulated by the central bank. Technically, the payment must comply with the four principles of payment system such as secure, effective, fairness, and customer protection. Therefore, this quantitative research explores the four principles of payment system towards the intention of the FinTech payment system, especially for OVO customers. SPSS application facilitates the process, and the linear regression technique applies to analyze the data based on the model. The process is conducted partially and simultaneously. The partial result of the research indicates the efficiency variable and fairness variable that has a significant influence on the intention of the utilization. However, the concurrent process for all variables presents a considerable result of the intention of the utilization factor. The research results significantly contribute to future improvement feedback and development in the industry.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287443","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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