International Journal of Engineering and Computer Science Applications (IJECSA)最新文献

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Plume Detection System Based Internet of Things 基于物联网的羽流检测系统

International Journal of Engineering and Computer Science Applications (IJECSA) Pub Date : 2022-03-02 DOI: 10.30812/ijecsa.v1i1.1698

I. N. S. A. Utama, Sirojul Hadi, I. P. Hariyadi

{"title":"Plume Detection System Based Internet of Things","authors":"I. N. S. A. Utama, Sirojul Hadi, I. P. Hariyadi","doi":"10.30812/ijecsa.v1i1.1698","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1698","url":null,"abstract":"Security is one of the important aspects in a system or environment. Residential, office, tourist and industrial areas are places that are prone to fires because they contain flammable objects. Slow handling when a gas leak occurs can trigger a fire. The solution that can be used to minimize the occurrence of fires is to build tools that work to monitor the condition of the room or environment that is prone to leakage of gas or other flammable liquids. The design and manufacture of a system to detect LPG and alcohol gas leaks can be useful for providing information in the event of a gas or alcohol leak so that it can be handled quickly and minimize fire damage. This system combines an plume detection system with an internet of things system so that it can provide information when a gas or flammable liquid leak occurs. The gas leak information is sent as a notification to the telegram from the operator. The design and manufacture of this system uses the Waterfall methodology with the following stages: analyzing (covering the need for system creation), system design (including designing electronic circuits and web monitoring interfaces), implementing system design and testing the system as a whole. The result of this research is that an electronic detection system has been successfully built that can distinguish gases and can provide information via telegram and web if gas is detected in the sensor environment. In the LPG gas leak test, the results show that the characteristics of LPG gas, namely the sensor output voltage, have an average of 4.17 volts with an average Part Per Million (PPM) of 8340 and the characteristics of alcohol gas, namely the sensor output voltage, have an average of 0, 13 volts with an average Part Per Million (PPM) of 254.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124495032","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}

引用次数: 1

Augmented Reality in Indonesia's Primary School: Systematic Mapping Study 增强现实在印尼小学:系统的地图研究

International Journal of Engineering and Computer Science Applications (IJECSA) Pub Date : 2022-03-01 DOI: 10.30812/ijecsa.v1i1.1817

Dian Syafitri Chani Saputri, Dyah Susilowati

{"title":"Augmented Reality in Indonesia's Primary School: Systematic Mapping Study","authors":"Dian Syafitri Chani Saputri, Dyah Susilowati","doi":"10.30812/ijecsa.v1i1.1817","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1817","url":null,"abstract":"Augmented reality is an increase trending technology in education. Research in the field of AR for Education is increasing every year. A large number of research reviews have focused on the use of AR in education worldwide and at all levels of education, but there have not been many reviews of the use of AR at the elementary school level in Indonesia. This study aims to determine the trends of using AR in elementary school in Indonesia. This research used a Systematic Mapping Study approach, which consists of the stages of definition research question, conduct research, screening papers, keywording using abstract, and data extraction and mapping process. Subjects of elementary education, grade, type of AR application, and research method and facets, have been used in classifying AR. Inclusion and exclusion criteria were used in determining the relevant papers. This study examining 42 articles containing “augmented reality”, “elementary school” and “Indonesia” in their titles, abstracts, and keywords. Articles were published between 2017 and 2021. The results have shown that science learning is the most subject to be the object of AR research, followed by mathematics, language, and culture. Most of the AR implementations are implemented in class IV, V and VI. The most widely used type of AR application is marker-based AR. The most widely used research method is R&D which focuses on developing AR products.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"608 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123322609","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}

引用次数: 1

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