Ahmad Fauzi
Universitas Islam Negeri Sumatera Utara

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APPLICATION OF SMART ENVIRONMENT WITH FUZZY LOGIC METHOD BASED ON INTERNET OF THINGS Mhd Furqan; Rakhmat Kurniawan R; Ahmad Fauzi
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.31 KB)

Abstract

In Indonesia, air pollution is a very concern, many risks are resulting from air pollution, including the risk of blood cancer. But many people are not aware of this as a result, many are affected by respiratory infections, asthma, and lung cancer due to air pollution. Along with technological developments, a new concept emerged, namely the Internet of things, from the development of the Internet of Things, which resulted in many discoveries, one of which was the Smart Environment. With Smart Environment we can monitor the quality level of an environment, one of which is air quality. The amount of information related to air pollution is the reason for the author to make a tool that uses the Nodemcu microcontroller-based MQ7 sensor which is expected to help reduce the risk generated from air pollution, especially carbon monoxide (CO). This tool also applies the concept of the internet of things so that the results of sensor readings can be monitored online from anywhere and anytime in realtime. There is a classification of air pollution levels in this tool including healthy air, unhealthy air, and dangerous air, healthy air is in the value range 0-100 PPM, unhealthy air is in the value range of 100-200 PPM, and dangerous air is in the value range> 200 PPM. Fuzzy logic was chosen as the method in this research because this method is suitable for most real-time problems such as making decisions to determine the level of air pollution that is uncertain and changing. The results of the MQ7 sensor detection of carbon monoxide are monitored through the Indonesian-made Internet of Things platform, Antares.id.
ANALISIS ‬BIBLIOMETRIK TREND PENELITIAN JURNAL IQRA (JURNAL PERPUSTAKAAN DAN INFORMASI) PERIODE 2017-2021 MENGGUNAKAN ‬VOS VIEWER‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Ahmad Fauzi; Franindya Purwaningtyas
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.278

Abstract

This study aims to determine the map of the development of research trends in the IQRA Journal for the 2017-2021 period. This study formulates the problem of how the development of article publication trends and literature patterns in IQRA articles (Library and Information Journal) published in 2017-2021. This study used a descriptive research method with a quantitative approach using bibliometric analysis techniques. Mapping is done with co-word based mapping. The research sample is 89 IQRA articles for 2017-2021. In this study, two supporting applications in bibliometrics were used, namely Mendeley and VOSViewer. The results of the study show that the visualization of the results of research data processing using the 2017-2021 IQRA journal metadata is grouped into 4 clusters. The results of the VOSViewer analysis seen from the overlay visualization that the research topic in the journal IQRA 2017-2021 which has been carried out for a long time is about librarians and the latest research on services. The results of the density visualization mean that the keyword groups in the 2017-2021 IQRA journal have a relationship with each other, in which the most frequently researched topic is the library. Judging from its development, the most published articles published by the IQRA Journal were in 2019 and the lowest was in 2021.