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Machine Learning and Internet of Things (IoT): A Bibliometric Analysis of Publications Between 2012 and 2022 Gani, Hamdan; Damayanti, Annisa Dwi; Nurani, Nurani; Zuhriyah, Sitti; Jabir, St. Nurhayati; Gani, Helmy; Zhipeng, Feng; Rejeki, Aisyah Sri
ILKOM Jurnal Ilmiah Vol 16, No 1 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i1.1700.27-37

Abstract

The implementation between machine learning and the Internet of Things (IoT) has been scientifically investigated in many studies. However, not many bibliometric studies categorize the output in this area. By keeping an eye on the publications posted on the Web of Science (WoS) platform, this study aims to give a bibliometric analysis of research on Machine Learning and IoT, identifying the state of the art, trends, and other indicators. 6.170 different articles made up the sample. The VOS viewer software was used to process the data and graphically display the results. The study examined the concurrent occurrence of publications by year, keyword trends, co-citations, bibliographic coupling, and analysis of co-authorship, countries, and institutions. several prolific authors are discovered. However, the body of literature on machine learning and IoT issues is expanding quickly; only five papers accounted for more than 2193 citations. Then, 40.34 percent of the articles from the 694 sources reviewed were published as the most important paper. At the same time, the USA is the top nation for research on this subject area. In addition to identifying gaps and promising areas for future research, this study offers insight into the current state of the art and the field of machine learning and IoT.
Socialization of Domestic Waste Water Management Systems in Tallo Village Ibrahim, Roslinda; Ali, Sumarni Hamid; Zubair, Achmad; Hustim, Muralia; Lando, Asiyanti Tabran; Sari, Kartika; Putri Mangarengi, Nur An-nisa; Abdullah, Nurjannah Oktorina; Damayanti, Annisa Dwi; Hanami, Zarah Arwieny
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 2 (2023): Let us Collaborate for Community Issues
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i2.445

Abstract

The urban slum problems are always be a complex issues in environmental physics, economic, social, and also the facilities and infrastructure itself. In general, the slum areas are not suitable to live in because basic facilities and amenities are not available in the residential environment. The aim of this Community Service activity is to increased community knowledge and understand regarding domestic wastewater management system. The method used to the goal is by implementing socialization activities in one of the areas that belong to the slum category. Implementation of the Activities at the office of Kelurahan Tallo, attended by twenty-five participants. The enthusiasm of the participants in taking part in socialization activities is high, it is evident from the seriousness in receiving material and the desire to ask questions as well as sharing information about the management of wastewater in the Tallo Village. The level of public understanding of the socialization material has increased from 4% – 12% to 16% - 72%. With the increase in public knowledge and understanding is expected to increase also the motivation to participate in environmental conservation efforts, especially those related to the sustainability of the aquatic environment.