Pub Date : 2021-06-27DOI: 10.31937/ijnmt.v8i1.1965
Nico Nathanael Wilim, R. Oetama
Indonesia Lawyers Club (ILC) is a talk show on TVOne that discusses topics around public phenomena, legal issues, crime, and other similar topics. In 2018, ILC won the Panasonic Gobel Awards as the best news talk show program. But in 2019, ILC failed to win the award which was won by Mata Najwa which featured a talk show event that appeared on Trans7. As one of the television shows that has won awards, ILC has pros and cons for its shows from the public. This study applies a sentiment analysis approach to examine public opinion on Twitter about Mata Najwa and ILC in 2018 and 2019. This study applies K-Nearest Neighbor, Naïve Bayes Classifier, and Decision Tree classification algorithm to validate the result. The contribution of this study is to show that public opinion on Twitter can be examined to figure out community sentiment on a tv talk show as well as to confirm the Award winner of tv Talkshow. Index Terms—datamining; Decision Tree; K-NN; Naïve Bayes Classifier; sentiment analysis
{"title":"Sentiment Analysis About Indonesian Lawyers Club Television Program Using K-Nearest Neighbor, Naïve Bayes Classifier, And Decision Tree","authors":"Nico Nathanael Wilim, R. Oetama","doi":"10.31937/ijnmt.v8i1.1965","DOIUrl":"https://doi.org/10.31937/ijnmt.v8i1.1965","url":null,"abstract":"Indonesia Lawyers Club (ILC) is a talk show on TVOne that discusses topics around public phenomena, legal issues, crime, and other similar topics. In 2018, ILC won the Panasonic Gobel Awards as the best news talk show program. But in 2019, ILC failed to win the award which was won by Mata Najwa which featured a talk show event that appeared on Trans7. As one of the television shows that has won awards, ILC has pros and cons for its shows from the public. This study applies a sentiment analysis approach to examine public opinion on Twitter about Mata Najwa and ILC in 2018 and 2019. This study applies K-Nearest Neighbor, Naïve Bayes Classifier, and Decision Tree classification algorithm to validate the result. The contribution of this study is to show that public opinion on Twitter can be examined to figure out community sentiment on a tv talk show as well as to confirm the Award winner of tv Talkshow. \u0000 \u0000Index Terms—datamining; Decision Tree; K-NN; Naïve Bayes Classifier; sentiment analysis","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126951119","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1732
Cristian Steven, Wella Wella
The growth of social media is changing the way humans communicate with each other, many people use social media such as Twitter to express opinions, experiences and other things that concern them, where things like this are often referred to as sentiments. The concept of social media is now the focus of business people to find out people's sentiments about a product or place that will become a business. Sentiment Analysis or often also called opinion mining is a computational study of people's opinions, appraisal, and emotions through entities, events and attributes owned. Sentiment analysis itself has recently become a popular topic for research because sentiment analysis can be applied in many industrial sectors, one of which is the tourism industry in Indonesia. To be able to do a sentiment analysis requires mastery of several techniques such as techniques for doing text mining, machine learning and natural language processing (NLP) to be able to process large and unstructured data coming from social media. Some methods that are often used include Naive Bayes, Neural Networks, K-Nearest Neighbor, Support Vector Machines, and Decision Tree. Because of this, this research will compare these four algorithms so that an algorithm can be used to analyze people's sentiments towards the city of Bali.
{"title":"The Right Sentiment Analysis Method of Indonesian Tourism in Social Media Twitter","authors":"Cristian Steven, Wella Wella","doi":"10.31937/IJNMT.V7I2.1732","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1732","url":null,"abstract":"The growth of social media is changing the way humans communicate with each other, many people use social media such as Twitter to express opinions, experiences and other things that concern them, where things like this are often referred to as sentiments. The concept of social media is now the focus of business people to find out people's sentiments about a product or place that will become a business. Sentiment Analysis or often also called opinion mining is a computational study of people's opinions, appraisal, and emotions through entities, events and attributes owned. Sentiment analysis itself has recently become a popular topic for research because sentiment analysis can be applied in many industrial sectors, one of which is the tourism industry in Indonesia. To be able to do a sentiment analysis requires mastery of several techniques such as techniques for doing text mining, machine learning and natural language processing (NLP) to be able to process large and unstructured data coming from social media. Some methods that are often used include Naive Bayes, Neural Networks, K-Nearest Neighbor, Support Vector Machines, and Decision Tree. Because of this, this research will compare these four algorithms so that an algorithm can be used to analyze people's sentiments towards the city of Bali.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131877781","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1300
Haris Widjaja, Ririn Ikana Desanti
The desire to have a dream house makes people consider of the criteria of the house they will be lived. Many developers offer a variety of house alternatives ranging from price, location, design, building area and land area. Customers are pleased to choose their dream house as their desired. Based on that situation, this research is conduct to create a web-bases application for home selection that consider the useful criteria to help consumers choose a decent home by using the Technique for Order of Preference by Similarity To Ideal Solution (TOPSIS) method. The TOPSIS method has the concept that the best alternative has the shortest distance from a positive ideal solution and also has the farthest distance from a negative ideal solution. This TOPSIS method is applied to provide recommendations on the choice of home decisions in the South Tangerang area based on predetermined criteria. The results obtained in the TOPSIS calculation are the housing recommendations that are closest to the value of the calculation result.
{"title":"Decision Support System for Home Selection in South Tangerang City Using TOPSIS Method","authors":"Haris Widjaja, Ririn Ikana Desanti","doi":"10.31937/IJNMT.V7I2.1300","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1300","url":null,"abstract":"The desire to have a dream house makes people consider of the criteria of the house they will be lived. Many developers offer a variety of house alternatives ranging from price, location, design, building area and land area. Customers are pleased to choose their dream house as their desired. Based on that situation, this research is conduct to create a web-bases application for home selection that consider the useful criteria to help consumers choose a decent home by using the Technique for Order of Preference by Similarity To Ideal Solution (TOPSIS) method. The TOPSIS method has the concept that the best alternative has the shortest distance from a positive ideal solution and also has the farthest distance from a negative ideal solution. This TOPSIS method is applied to provide recommendations on the choice of home decisions in the South Tangerang area based on predetermined criteria. The results obtained in the TOPSIS calculation are the housing recommendations that are closest to the value of the calculation result.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133007273","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1761
C. Haryani, Suryasari Suryasari
Knowledge Management (KM) has become an integral factor for many organizations to achieve their goals. Currently, Higher Education Institutions (HEI), have also joined the practices of KM, to enhance the institution’s quality, boosting the effectiveness, developing human resource, and constructing the knowledge culture within the institution. The aim of this study is to observe the constructed Critical Success Factor (CSF) model affecting the implementation of KM. This study follows Kitchenham’s Systematic Literature Review (SLR) procedures from 15 eligible journal articles obtained through KM related literature. The results, analysis, and discussions are elaborated in the paper.
{"title":"Critical Success Factors of Knowledge Management in Higher Education Institution","authors":"C. Haryani, Suryasari Suryasari","doi":"10.31937/IJNMT.V7I2.1761","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1761","url":null,"abstract":"Knowledge Management (KM) has become an integral factor for many organizations to achieve their goals. Currently, Higher Education Institutions (HEI), have also joined the practices of KM, to enhance the institution’s quality, boosting the effectiveness, developing human resource, and constructing the knowledge culture within the institution. The aim of this study is to observe the constructed Critical Success Factor (CSF) model affecting the implementation of KM. This study follows Kitchenham’s Systematic Literature Review (SLR) procedures from 15 eligible journal articles obtained through KM related literature. The results, analysis, and discussions are elaborated in the paper.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124482005","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1580
Reza Septiawan, I. M. Astawa, Siswahyudi Azhari, Widrianto Sih Pinastiko, Nashrullah Taufik, A. Rufiyanto, Rizky Rahmatullah
The integration of unmanned aircraft systems (UAS) into the air traffic management will be very demanding. Surveillance equipments based on Automatic Dependent Surveillance-Broadcast (ADS-B) contribute a significant role for maintaining separations between both UAS and aircraft in order to maintain the requirements of aviation safety and airspace integrity. Performance analysis of ADS-B equipments related to signal quality and potential Electromagnetic/Radio Frequency Interference is very important to mitigate the failure risk in air traffic management. This paper discuss performance test analysis of ADS-B based surveillance equipments related to the most importance performance parameter namely the continuous reception of messages in terms of message drops and probability of update interval message receptions. Another performance test related to electromagnetic emission of ADS-B based surveillance equipments is conducted in order to mitigate potential RF interferences.
{"title":"ADS-B Performance Monitoring and Potential Electromagnetic Interference","authors":"Reza Septiawan, I. M. Astawa, Siswahyudi Azhari, Widrianto Sih Pinastiko, Nashrullah Taufik, A. Rufiyanto, Rizky Rahmatullah","doi":"10.31937/IJNMT.V7I2.1580","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1580","url":null,"abstract":"The integration of unmanned aircraft systems (UAS) into the air traffic management will be very demanding. Surveillance equipments based on Automatic Dependent Surveillance-Broadcast (ADS-B) contribute a significant role for maintaining separations between both UAS and aircraft in order to maintain the requirements of aviation safety and airspace integrity. Performance analysis of ADS-B equipments related to signal quality and potential Electromagnetic/Radio Frequency Interference is very important to mitigate the failure risk in air traffic management. This paper discuss performance test analysis of ADS-B based surveillance equipments related to the most importance performance parameter namely the continuous reception of messages in terms of message drops and probability of update interval message receptions. Another performance test related to electromagnetic emission of ADS-B based surveillance equipments is conducted in order to mitigate potential RF interferences.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132361249","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I1.1288
E. Lestari
Startups, as they are bounded to their liabilities of newness and smallness, need to collaborate extensively with their external partners through the open innovation process. This study aims to depict Co-working space's pivotal role in building up a working innovation ecosystem that facilitates open innovation for startups. To get a more deep understanding of the phenomena, this study used an exploratory study based on three case studies of Co-working spaces operated in the Jakarta region. The study shows that the open innovation process among startups is not naturally existed, but instead, it is purposefully designed by the role of a community manager who acts as the ecosystem catalyst. The community manager becomes the ecosystem enablers that facilitate the networking process by connecting members. As a result, these activities will help the emerging of mutual connection and collaboration processes among members that empower open innovation among startups members. The multiple-case design makes the study conclusions might be difficult to generalize. Future research, including quantitative studies, will help the conclusions examination and the knowledge enrichment of start-ups' open innovation process. This paper will enrich the knowledge concerning how Co-working spaces member seizing opportunities that lead to the open innovation process.
{"title":"Is Co-working Increase Survivability? Study on how Collaborating and Networking Facilitates Open Innovation Process for Startups","authors":"E. Lestari","doi":"10.31937/IJNMT.V7I1.1288","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I1.1288","url":null,"abstract":"Startups, as they are bounded to their liabilities of newness and smallness, need to collaborate extensively with their external partners through the open innovation process. This study aims to depict Co-working space's pivotal role in building up a working innovation ecosystem that facilitates open innovation for startups. To get a more deep understanding of the phenomena, this study used an exploratory study based on three case studies of Co-working spaces operated in the Jakarta region. The study shows that the open innovation process among startups is not naturally existed, but instead, it is purposefully designed by the role of a community manager who acts as the ecosystem catalyst. The community manager becomes the ecosystem enablers that facilitate the networking process by connecting members. As a result, these activities will help the emerging of mutual connection and collaboration processes among members that empower open innovation among startups members. The multiple-case design makes the study conclusions might be difficult to generalize. Future research, including quantitative studies, will help the conclusions examination and the knowledge enrichment of start-ups' open innovation process. This paper will enrich the knowledge concerning how Co-working spaces member seizing opportunities that lead to the open innovation process.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131663079","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1499
E. B. Setiawan, A. Setiyadi, Wildan Agung Prakoso
From entreprenurship perspective, determining the right business location is, of course, will become a significant factor for the business's growth in the future. Therefore, a system to facilitate prospective and strategic business locations, for achieving the right selling targets is sure needed. Android mobile based system with GPS technology features can make it easier to determine business location. In our application, we try to tackle this problem by using Simple Additive Weighting (SAW). We took several criteria for strategic business location decision making in our SAW implementation, which comprehend of rental rates, accessibility, location crowd, target market, security, and the number of competitors. Then, by evaluating the finished application, we concluded that the development of an application for Micro, Small and Medium Enterprises (MSMEs) recommendations is to facilitate prospective entrepreneurs to determine a strategic business location to build an entrepreneur.
{"title":"Recommendation System for Determining Micro, Small and Medium Enterprise Business Locations","authors":"E. B. Setiawan, A. Setiyadi, Wildan Agung Prakoso","doi":"10.31937/IJNMT.V7I2.1499","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1499","url":null,"abstract":"From entreprenurship perspective, determining the right business location is, of course, will become a significant factor for the business's growth in the future. Therefore, a system to facilitate prospective and strategic business locations, for achieving the right selling targets is sure needed. Android mobile based system with GPS technology features can make it easier to determine business location. In our application, we try to tackle this problem by using Simple Additive Weighting (SAW). We took several criteria for strategic business location decision making in our SAW implementation, which comprehend of rental rates, accessibility, location crowd, target market, security, and the number of competitors. Then, by evaluating the finished application, we concluded that the development of an application for Micro, Small and Medium Enterprises (MSMEs) recommendations is to facilitate prospective entrepreneurs to determine a strategic business location to build an entrepreneur.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117074066","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 : 2020-12-28DOI: 10.31937/IJNMT.V7I2.1654
Wiwi Clarissa, F. P. Putri
Typographical error often happens. It can occur due to mechanical errors or missed hands or fingers when typing. Someone's ignorance of how to spell correctly also can cause typographical errors. Dictionary application development has been carried out by various parties so that the searching process in the dictionary becomes more efficient. However, there is no word search optimization when the typographical error happens. Typographical errors in the searching process can result in the information sought cannot be found. The Damerau-Levenshtein Distance algorithm implemented to provide search suggestions when a typographical error occurs. This research aims to design and build a health dictionary application, MeDict, using the Damerau-Levenshtein Distance algorithm. Technology Acceptance Model (TAM) used to evaluate the application. The result is 86.2% stating strongly agree that the application can be useful and 86.9% stating strongly agree that the application can be used easily.
{"title":"MeDict: Health Dictionary Application Using Damerau-Levenshtein Distance Algorithm","authors":"Wiwi Clarissa, F. P. Putri","doi":"10.31937/IJNMT.V7I2.1654","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1654","url":null,"abstract":"Typographical error often happens. It can occur due to mechanical errors or missed hands or fingers when typing. Someone's ignorance of how to spell correctly also can cause typographical errors. Dictionary application development has been carried out by various parties so that the searching process in the dictionary becomes more efficient. However, there is no word search optimization when the typographical error happens. Typographical errors in the searching process can result in the information sought cannot be found. The Damerau-Levenshtein Distance algorithm implemented to provide search suggestions when a typographical error occurs. This research aims to design and build a health dictionary application, MeDict, using the Damerau-Levenshtein Distance algorithm. Technology Acceptance Model (TAM) used to evaluate the application. The result is 86.2% stating strongly agree that the application can be useful and 86.9% stating strongly agree that the application can be used easily.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125070453","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 : 2020-07-02DOI: 10.31937/IJNMT.V7I2.1697
W. Yunus, Ririn Ikana Desanti, Wella Wella
PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.
PD。Asia Agung Pontianak是味之素在西加里曼丹地区的唯一官方分销商。这家公司每年都需要计算出下一年的营业额。不幸的是，该公司只使用每年的平均收入进行预测，这是非常不准确的。本研究是为了创建可视化和预测使用多元线性回归方法来预测来年获得的营业额。多元线性回归是一种可以在预测过程中使用2个以上变量的回归分析方法，分为2部分，即因变量和自变量。本研究得出的结果是基于2010 - 2018年的数据对2019年的预测结果。预测结果表明，数据使用时间越长，得到的错误率越小。公司的原始数据使用tableau软件上的仪表板进行可视化，以便公司可以更容易地分析数据。
{"title":"Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019","authors":"W. Yunus, Ririn Ikana Desanti, Wella Wella","doi":"10.31937/IJNMT.V7I2.1697","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1697","url":null,"abstract":"PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126856940","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 : 2020-07-02DOI: 10.31937/IJNMT.V7I2.1665
W. Winarno, Wella Wella, R. Pramono
The society of Indonesia faces problem of cultural crisis, especially the younger generation who prefer foreign culture rather than the local culture. This research aimed to find a way to conserve local culture by combining local culture with the development of information and communication technology. The method used in this study is content crowdsourcing because it requires the help of all society member to fill the content and data that will be managed later in large volumes. Therefore, it will use cloud computing, Software as a Service (SaaS). This research has successfully developed a portal called ibudaya that can accommodate cultural values and local wisdom in the form of multimedia content, such as in the format of video, pictures, pdf, Word, and Power Point. This research has successfully developed a portal that can accommodate cultural values and local wisdom in the form of multimedia content. The cultural portal can be accessed through the link address http://iBudaya.applikasi.online/. This portal will be further refined in terms of cultural content procurement, where the content is in the form of videos, pictures and folklore texts.
{"title":"iBudaya: Indonesian Culture Portal Based on Software as a Service (SaaS)","authors":"W. Winarno, Wella Wella, R. Pramono","doi":"10.31937/IJNMT.V7I2.1665","DOIUrl":"https://doi.org/10.31937/IJNMT.V7I2.1665","url":null,"abstract":"\u0000 \u0000 \u0000The society of Indonesia faces problem of cultural crisis, especially the younger generation who prefer foreign culture rather than the local culture. This research aimed to find a way to conserve local culture by combining local culture with the development of information and communication technology. The method used in this study is content crowdsourcing because it requires the help of all society member to fill the content and data that will be managed later in large volumes. Therefore, it will use cloud computing, Software as a Service (SaaS). This research has successfully developed a portal called ibudaya that can accommodate cultural values and local wisdom in the form of multimedia content, such as in the format of video, pictures, pdf, Word, and Power Point. This research has successfully developed a portal that can accommodate cultural values and local wisdom in the form of multimedia content. The cultural portal can be accessed through the link address http://iBudaya.applikasi.online/. This portal will be further refined in terms of cultural content procurement, where the content is in the form of videos, pictures and folklore texts. \u0000 \u0000 \u0000","PeriodicalId":110831,"journal":{"name":"IJNMT (International Journal of New Media Technology)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128331637","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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