Pub Date : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288565
Zen Munawar, N. Suryana, Zurina Binti Sa'aya, Yudi Herdiana
This research is a framework with an approach to the user as an evaluation for the recommendation system. Prediction algorithm can provide accuracy to the recommendation system. The recommendation system strongly influences user experience in the recommendation system. The relationship between objective system aspects and user behavior is carried out with a framework based on a collection of perceptions and evaluations with various aspects of subjective experience through personal and situational characteristics of user experiences. This research is also supported by related literature in mapping the framework. In this way, the framework can be validated. Analysis of Field trials and experiments with structural equation modeling. The results showed that the subjective system aspects and user experience could provide an explanation of why and how the user experience emerges from the recommendation system. Perceived quality and variation of recommendations are important mediators in predicting objective system aspects of user experience components such as perceived processes or difficulties, systems in the form of perceived system effectiveness, results in the form of choice of satisfaction. This study also found that there was a correlation of behavior from subjective aspects such as a lack of search results, this shows the results of the effectiveness of the system. There is a relationship between aspects of the system with personal and situational characteristics indicated by the number of feedback preferences from users in exchange for system usability and user privacy.
{"title":"Framework With An Approach To The User As An Evaluation For The Recommender Systems","authors":"Zen Munawar, N. Suryana, Zurina Binti Sa'aya, Yudi Herdiana","doi":"10.1109/ICIC50835.2020.9288565","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288565","url":null,"abstract":"This research is a framework with an approach to the user as an evaluation for the recommendation system. Prediction algorithm can provide accuracy to the recommendation system. The recommendation system strongly influences user experience in the recommendation system. The relationship between objective system aspects and user behavior is carried out with a framework based on a collection of perceptions and evaluations with various aspects of subjective experience through personal and situational characteristics of user experiences. This research is also supported by related literature in mapping the framework. In this way, the framework can be validated. Analysis of Field trials and experiments with structural equation modeling. The results showed that the subjective system aspects and user experience could provide an explanation of why and how the user experience emerges from the recommendation system. Perceived quality and variation of recommendations are important mediators in predicting objective system aspects of user experience components such as perceived processes or difficulties, systems in the form of perceived system effectiveness, results in the form of choice of satisfaction. This study also found that there was a correlation of behavior from subjective aspects such as a lack of search results, this shows the results of the effectiveness of the system. There is a relationship between aspects of the system with personal and situational characteristics indicated by the number of feedback preferences from users in exchange for system usability and user privacy.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693047","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288617
Fata Nidaul Khasanah, Rahmadya Trias Handayanto, Herlawati Herlawati, Djuni Thamrin, Prasojo Prasojo, E. S. Hutahaean
The scholarship recipients should ideally be given to the appropriate students. Many methods have been widely used to assist the school management in deciding the scholarship recipients. However, such methods do not give additional information and other methods of comparison. The purpose of this research is to provide a systematic and objective scholarship selection recommendation system and using sensitivity analysis to compare the two decision support methods used, i.e. the Simple Additive Weighting and the Weighted Product methods. The Simple Additive Weighting method provides the highest assessment results, namely alternatives with a preference value of 13.27. The Weighted Product method provides the highest assessment results, namely alternatives with a preference value of 0.046. The results of the sensitivity analysis show that the total change value of the Simple Additive Weighting method was 6%, while in the Weighted Product method the total change value was 0.2%. Therefore, the sensitivity analysis showed that the Simple Additive Weighting method better than Weighted Product in determining the scholarship recipient recommendation because it has a greater total change value.
{"title":"Decision Support System For Student Scholarship Recipients Using Simple Additive Weighting Method with Sensitivity Analysis","authors":"Fata Nidaul Khasanah, Rahmadya Trias Handayanto, Herlawati Herlawati, Djuni Thamrin, Prasojo Prasojo, E. S. Hutahaean","doi":"10.1109/ICIC50835.2020.9288617","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288617","url":null,"abstract":"The scholarship recipients should ideally be given to the appropriate students. Many methods have been widely used to assist the school management in deciding the scholarship recipients. However, such methods do not give additional information and other methods of comparison. The purpose of this research is to provide a systematic and objective scholarship selection recommendation system and using sensitivity analysis to compare the two decision support methods used, i.e. the Simple Additive Weighting and the Weighted Product methods. The Simple Additive Weighting method provides the highest assessment results, namely alternatives with a preference value of 13.27. The Weighted Product method provides the highest assessment results, namely alternatives with a preference value of 0.046. The results of the sensitivity analysis show that the total change value of the Simple Additive Weighting method was 6%, while in the Weighted Product method the total change value was 0.2%. Therefore, the sensitivity analysis showed that the Simple Additive Weighting method better than Weighted Product in determining the scholarship recipient recommendation because it has a greater total change value.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337853","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288548
Adyanissa Farsya Kirana, F. Azzahro, Putu Wuri Handayani, Widia Resti Fitriani
As the most generous country, Indonesia embedded altruism as their lifestyle. However, the donation that is often made conventionally now has been shifted to online donation. Online donation platform such as Kitabisa.com has significant users growths in recent years. Along with the increasing number of online donations, many fraud cases occurred which harm users' trust in online donation platforms. Thus, this study aims to examine the institutional mechanism and information systems success factors that influence trust and distrust in the online donation platform and how it influences attitude and online donation intention. We collected 865 data using an online survey and then analyzed it using Partial Least Square - Structural Equation Modeling (PLS-SEM). The result of this study indicates that quality aspects such as system quality, information quality, and institutional mechanism aspects such as perceived platform rules and perceived monitoring influence trust and distrust in online donation platforms. Additionally, trust and distrust in online donation platforms influence attitude towards donation and online donation intention significantly.
{"title":"Trust and Distrust: The Antecedents of Intention to Donate in Digital Donation Platform","authors":"Adyanissa Farsya Kirana, F. Azzahro, Putu Wuri Handayani, Widia Resti Fitriani","doi":"10.1109/ICIC50835.2020.9288548","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288548","url":null,"abstract":"As the most generous country, Indonesia embedded altruism as their lifestyle. However, the donation that is often made conventionally now has been shifted to online donation. Online donation platform such as Kitabisa.com has significant users growths in recent years. Along with the increasing number of online donations, many fraud cases occurred which harm users' trust in online donation platforms. Thus, this study aims to examine the institutional mechanism and information systems success factors that influence trust and distrust in the online donation platform and how it influences attitude and online donation intention. We collected 865 data using an online survey and then analyzed it using Partial Least Square - Structural Equation Modeling (PLS-SEM). The result of this study indicates that quality aspects such as system quality, information quality, and institutional mechanism aspects such as perceived platform rules and perceived monitoring influence trust and distrust in online donation platforms. Additionally, trust and distrust in online donation platforms influence attitude towards donation and online donation intention significantly.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132775155","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288562
Peter Liuwandy, Suryasari, Wella
Earthquake is one of the natural disasters that often occurs in Indonesia. Recorded data from 1779 to 2010, earthquakes that occurred in Indonesia were more than 48,000 with strength greater than four on the Richter Scale. Therefore, earthquake simulations are carried out in offices such as schools, offices, and so on. This research focuses on using virtual reality as an earthquake simulation drill to give a better experience to the user. This research also tries to reach as many people as possible so that it's built on Android and doesn't need any additional tools, just VR glasses, with the help of Google VR prefab. The results show that the earthquake simulation drill through virtual reality is more familiar and save time than the traditional earthquake simulation drill used by the comprehensive institution.
{"title":"Affordable Mobile Virtual Reality Earthquake Simulation","authors":"Peter Liuwandy, Suryasari, Wella","doi":"10.1109/ICIC50835.2020.9288562","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288562","url":null,"abstract":"Earthquake is one of the natural disasters that often occurs in Indonesia. Recorded data from 1779 to 2010, earthquakes that occurred in Indonesia were more than 48,000 with strength greater than four on the Richter Scale. Therefore, earthquake simulations are carried out in offices such as schools, offices, and so on. This research focuses on using virtual reality as an earthquake simulation drill to give a better experience to the user. This research also tries to reach as many people as possible so that it's built on Android and doesn't need any additional tools, just VR glasses, with the help of Google VR prefab. The results show that the earthquake simulation drill through virtual reality is more familiar and save time than the traditional earthquake simulation drill used by the comprehensive institution.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"310 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703356","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288607
Herlawati Herlawati, Rahmadya Trias Handayanto, Inna Ekawati, K. Meutia, J. Asian, Umar Aditiawarman
Social media (Facebook, Instagram, Twitter, etc.) have been widely used. They have many advantages, especially for business. However, such media sometimes invite negative effects, e.g. decreasing employee performance, conflict in a relationship, crime, etc. Therefore, this study proposes a method to scrap one of the social media, i.e. Twitter for profiling. Gephi application is used for network analysis after scrapping the network using Twecoll, a Python-based scrapping application. A web-based application is also created including the Apache-based server and Python-based script. The result shows that the scrapped account has several groups/communities including the weight of each connection. In addition, the result can be used for group profiling and additional analysis to complete the sentiment analysis based on tweets.
{"title":"Twitter Scrapping for Profiling Education Staff","authors":"Herlawati Herlawati, Rahmadya Trias Handayanto, Inna Ekawati, K. Meutia, J. Asian, Umar Aditiawarman","doi":"10.1109/ICIC50835.2020.9288607","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288607","url":null,"abstract":"Social media (Facebook, Instagram, Twitter, etc.) have been widely used. They have many advantages, especially for business. However, such media sometimes invite negative effects, e.g. decreasing employee performance, conflict in a relationship, crime, etc. Therefore, this study proposes a method to scrap one of the social media, i.e. Twitter for profiling. Gephi application is used for network analysis after scrapping the network using Twecoll, a Python-based scrapping application. A web-based application is also created including the Apache-based server and Python-based script. The result shows that the scrapped account has several groups/communities including the weight of each connection. In addition, the result can be used for group profiling and additional analysis to complete the sentiment analysis based on tweets.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130427248","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288558
Ni Made Satvika Iswari, E. K. Budiardjo, Z. Hasibuan
Software Product Line Engineering (SPLE) allows developers to build product family software that comes from the same platform. The advantage of this technique is to reduce construction time, effort, costs, and difficulties. So, to build variations of software products, developers do not need to build entirely from scratch and can take advantage of general models that have been prepared previously. The software product line consists of common features and variability features. Common features are found on all product lines produced. While the variability features are determined by the requirements of each user. There are several approaches to implement these variability features, including using patterns, framework, polymorphism or configuration and build tools with compile-time variables. In this study, variability features implementation is carried out using the Aspect-Oriented Programming approach that allows explicit expression and modularization of the variability on a model, code, and generator levels. The proposed approach was implemented in an online store website. Based on the implementation that has been done, an online store website can be built with different features according to user requirements.
{"title":"Aspect Oriented Programming Approach for Variability Feature Implementation in Software Product Line Engineering","authors":"Ni Made Satvika Iswari, E. K. Budiardjo, Z. Hasibuan","doi":"10.1109/ICIC50835.2020.9288558","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288558","url":null,"abstract":"Software Product Line Engineering (SPLE) allows developers to build product family software that comes from the same platform. The advantage of this technique is to reduce construction time, effort, costs, and difficulties. So, to build variations of software products, developers do not need to build entirely from scratch and can take advantage of general models that have been prepared previously. The software product line consists of common features and variability features. Common features are found on all product lines produced. While the variability features are determined by the requirements of each user. There are several approaches to implement these variability features, including using patterns, framework, polymorphism or configuration and build tools with compile-time variables. In this study, variability features implementation is carried out using the Aspect-Oriented Programming approach that allows explicit expression and modularization of the variability on a model, code, and generator levels. The proposed approach was implemented in an online store website. Based on the implementation that has been done, an online store website can be built with different features according to user requirements.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145951","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288591
Mubarik Ahmad, Roha' di Oloan Tampubolon, Kukuh Prasetyo
Criminal law is a set of legal regulations made by the state. In Indonesia, criminal law was formulated in The Indonesian Penal Code or Kitab Undang-Undang Hukum Pidana (KUHP). The Indonesian Penal Code consisted of three books: general provisions, crimes, and misdemeanors. On the contrary, people remain to face difficulty in understanding the code. Most of the public law data are documented in a rigid format like pdf. Therefore, we developed PenalViz, a web-based tool to visualize in user-friendly graphs. This study aims to help the public read and understand the information about the Indonesian Penal Code. PenalViz has several main features: search, visualization, synonym, and description. We used the User Experience Questionnaire (UEQ) to measure the user experience of our tool. We found that our tool has levels of user experiences: excellent (novelty), above average (attractiveness, perspicuity, efficiency), and good (stimulation). In conclusion, it shows that our tool had good results in user experiences in most categories, especially in novelty.
刑法是国家制定的一套法律规定。在印度尼西亚，刑法是在《印度尼西亚刑法典》或Kitab Undang-Undang Hukum Pidana (KUHP)中制定的。印度尼西亚的《刑法典》由三本组成:一般规定、罪行和轻罪。相反，人们在理解代码时仍然面临困难。大多数公法数据都是以pdf这样的严格格式记录的。因此，我们开发了PenalViz，这是一个基于web的工具，可以在用户友好的图形中可视化。本研究旨在帮助公众阅读和理解有关印度尼西亚刑法的信息。PenalViz有几个主要特性:搜索、可视化、同义词和描述。我们使用用户体验问卷(UEQ)来衡量我们工具的用户体验。我们发现我们的工具有用户体验的等级:优秀(新奇)，中等以上(吸引力，清晰度，效率)和良好(刺激)。总之，它表明我们的工具在大多数类别的用户体验中都有很好的结果，特别是在新颖性方面。
{"title":"PenalViz: A Web-Based Visualization Tool for the Indonesian Penal Code","authors":"Mubarik Ahmad, Roha' di Oloan Tampubolon, Kukuh Prasetyo","doi":"10.1109/ICIC50835.2020.9288591","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288591","url":null,"abstract":"Criminal law is a set of legal regulations made by the state. In Indonesia, criminal law was formulated in The Indonesian Penal Code or Kitab Undang-Undang Hukum Pidana (KUHP). The Indonesian Penal Code consisted of three books: general provisions, crimes, and misdemeanors. On the contrary, people remain to face difficulty in understanding the code. Most of the public law data are documented in a rigid format like pdf. Therefore, we developed PenalViz, a web-based tool to visualize in user-friendly graphs. This study aims to help the public read and understand the information about the Indonesian Penal Code. PenalViz has several main features: search, visualization, synonym, and description. We used the User Experience Questionnaire (UEQ) to measure the user experience of our tool. We found that our tool has levels of user experiences: excellent (novelty), above average (attractiveness, perspicuity, efficiency), and good (stimulation). In conclusion, it shows that our tool had good results in user experiences in most categories, especially in novelty.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"231 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114098913","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288521
Widia Resti Fitriani, Arief Fadli Wicaksono, Danang Gagastama Joewono, Muhammad Zidane Zaffar, Reza Akbar Shahputra, Zieggy Ronnavelly, A. Hidayanto, L. Y. Stefanus
The health industry in Indonesia is experiencing growth with more and more start-up companies engaged in the healthcare sector. Various digital services and health applications have also been available on various platforms, including on mobile devices commonly referred to as m-health. However, the level of awareness and adoption of digital health services in Indonesia is still low. This paper analyzes the factors that influence user trust in m-health and analyzes the relationship between trust and adoption of m-health. This research uses quantitative methods by collecting data through questionnaires. Data is processed by Partial Least Square (PLS) using SmartPLS application. The results of data processing show that trust is influenced by system quality, a disposition to trust, and disposition to risk. In addition, trust is proven to influence the adoption of m-health by intermediary factors perceived privacy concern and perceived benefit. This research has theoretical and practical implications for m-health platform providers.
{"title":"The Antecedents of Trust and Their Influence on M-Health Adoption","authors":"Widia Resti Fitriani, Arief Fadli Wicaksono, Danang Gagastama Joewono, Muhammad Zidane Zaffar, Reza Akbar Shahputra, Zieggy Ronnavelly, A. Hidayanto, L. Y. Stefanus","doi":"10.1109/ICIC50835.2020.9288521","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288521","url":null,"abstract":"The health industry in Indonesia is experiencing growth with more and more start-up companies engaged in the healthcare sector. Various digital services and health applications have also been available on various platforms, including on mobile devices commonly referred to as m-health. However, the level of awareness and adoption of digital health services in Indonesia is still low. This paper analyzes the factors that influence user trust in m-health and analyzes the relationship between trust and adoption of m-health. This research uses quantitative methods by collecting data through questionnaires. Data is processed by Partial Least Square (PLS) using SmartPLS application. The results of data processing show that trust is influenced by system quality, a disposition to trust, and disposition to risk. In addition, trust is proven to influence the adoption of m-health by intermediary factors perceived privacy concern and perceived benefit. This research has theoretical and practical implications for m-health platform providers.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973391","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288599
C. Tania, Wella, Y. Soelistio
Gabor filter as a prominent filter approach ever done in a digital audio signal to find cultural diffusion patterns in Indonesia by analyzing folk songs. The topic is interesting and rarely discussed, but unfortunately, several weaknesses still exist in the research, which are the folk songs used is biased, one of the primary theoretical basis is invalid, and the most unfortunate is the sourcebook of the dataset does not have International Standard Book Number, which means the book is unregistered. Therefore, by using identical methods (Gabor filtration), the present research would perform some development from the lack of prior research to get better results. This research specified the testing area to improve focus - which is only used provinces in Java Island folk songs, used a valid dataset source, and added several different spectrogram sizes to improve accuracy. Compared to previous, recent research hit better results since it has more significant features and directly proportional relations than before.
{"title":"Gabor Filter Methods to Analyze the Influence of Geographic Distance and Folk Song in Java Indonesia","authors":"C. Tania, Wella, Y. Soelistio","doi":"10.1109/ICIC50835.2020.9288599","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288599","url":null,"abstract":"Gabor filter as a prominent filter approach ever done in a digital audio signal to find cultural diffusion patterns in Indonesia by analyzing folk songs. The topic is interesting and rarely discussed, but unfortunately, several weaknesses still exist in the research, which are the folk songs used is biased, one of the primary theoretical basis is invalid, and the most unfortunate is the sourcebook of the dataset does not have International Standard Book Number, which means the book is unregistered. Therefore, by using identical methods (Gabor filtration), the present research would perform some development from the lack of prior research to get better results. This research specified the testing area to improve focus - which is only used provinces in Java Island folk songs, used a valid dataset source, and added several different spectrogram sizes to improve accuracy. Compared to previous, recent research hit better results since it has more significant features and directly proportional relations than before.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124280121","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 : 2020-11-03DOI: 10.1109/ICIC50835.2020.9288648
S. Saifullah
Image segmentation is often used in the process of detecting separated objects. In this study, the application of image segmentation in the detection of egg fertility. The fertility of eggs in hatching is checked between the seventh day to separate eggs that have embryos (fertile). Application of technology, one of which is image processing, requires a preprocessing process to detect the presence of embryos in eggs. In this research, the preprocessing process can help divide the color image of chicken eggs using K-means Algorithm. K-means used are based on a matrix of color images (three color components, red, green, and blue) with a value of k = 50. The result is a segmented color image. The K-means segmentation image is converted to a grayscale image and processed with image enhancement. The final process is the result of image enhancement morphological processes (dilated with string size six) and converted to black and white images to clarify the segmentation process occurs. Based on experiments, the process can run well, with the value of MSSIM = 0.9995 (Mean of the SSIM), which means that the image information is under the original image. Besides, the processed object gives a clear picture of the embryo in the egg, which shows that k-means segmentation can help the process of detecting the presence or absence of embryos in the egg.
{"title":"Segmentation for embryonated Egg Images Detection using the K-Means Algorithm in Image Processing","authors":"S. Saifullah","doi":"10.1109/ICIC50835.2020.9288648","DOIUrl":"https://doi.org/10.1109/ICIC50835.2020.9288648","url":null,"abstract":"Image segmentation is often used in the process of detecting separated objects. In this study, the application of image segmentation in the detection of egg fertility. The fertility of eggs in hatching is checked between the seventh day to separate eggs that have embryos (fertile). Application of technology, one of which is image processing, requires a preprocessing process to detect the presence of embryos in eggs. In this research, the preprocessing process can help divide the color image of chicken eggs using K-means Algorithm. K-means used are based on a matrix of color images (three color components, red, green, and blue) with a value of k = 50. The result is a segmented color image. The K-means segmentation image is converted to a grayscale image and processed with image enhancement. The final process is the result of image enhancement morphological processes (dilated with string size six) and converted to black and white images to clarify the segmentation process occurs. Based on experiments, the process can run well, with the value of MSSIM = 0.9995 (Mean of the SSIM), which means that the image information is under the original image. Besides, the processed object gives a clear picture of the embryo in the egg, which shows that k-means segmentation can help the process of detecting the presence or absence of embryos in the egg.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125200954","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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