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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknik dan Ilmu Komputer Proceeding SENDI_U Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Prosiding Seminar Nasional Teknoka IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Komputasi dan Teknologi Informasi CCIT (Creative Communication and Innovative Technology) Journal INFOKUM Jurnal Scientia Nusantara Science and Technology Proceedings Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pengabdian Mandiri
Agni Isador Harsapranata
Universitas Bina Sarana Informatika
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Journal : INFOKUM

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LINER REGRESSION ANALYSIS IN FORECASTING HYDROPONIC PLANT NUTRIENT NEEDS Agni Isador Harsapranata; Danny Manongga; Sutarto Wijono
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The need for nutrients to support plant growth is very important, coupled with hydroponic technology, the use of nutrients is the main requirement in supporting good plant growth. Therefore, in this study the authors forecast the nutritional needs to support plant growth from time to time. The analysis used by the author is using linear regression analysis. So by using linear regression analysis, it can be known the nutritional needs in hydroponic plant growth. In determining the provision of nutrients, it is influenced by the pH of the nutrients, the height of the nutrient liquid in the reservoir, and the dissolved nutrient particles in the reservoir. Calculations are made every 4 days, within 56 days, with the type of hydroponic plant is paprika. Forecasting of nutrition is used in an Internet of Things ecosystem, so that nutrition can run automatically based on Linear Regression calculations. Forecasting in this study uses linear regression with the RMSE (Root mean square error) result of 51.47887, from these results it can be categorized as forecasting that is close to the real value
Co-Authors Ahmad Rais Ruli Ana Ramadhayanti Andi Martias Danny Manongga Dewi Astuti Joko Ariawan Maksum Maksum Omar Pahlevi Priatno, Priatno Rahma Wiyanti Rahmat Novari Sutarto Wijono Tri Hartati, Tri