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Pengaruh level pupuk nitrogen terhadap profil pertumbuhan pada hidroponik fodder jagung (Zea mays L) Anifiatiningrum; Sapta Andaruisworo; Erna Yuniati; Nur Solikin; Ardina Tanjungsari; Moh. Mimbar Fauzi
Agrivet : Jurnal Ilmu-Ilmu Pertanian dan Peternakan (Journal of Agricultural Sciences and Veteriner) Vol. 13 No. 2 (2025): Desember
Publisher : Fakultas Pertanian Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/agrivet.v13i2.16493

Abstract

Hydroponic corn fodder is a forage crop derived from corn, cultivated in a water medium and mixed with nutrients to meet the plant's nutritional needs. The purpose of this study was to determine the effect of nitrogen fertilizer levels on the growth profile of hydroponic corn fodder (Zea mays). This research was conducted in the Field Laboratory of the Animal Science Study Program, Nusantara PGRI University Kediri, with observations on the growth profile of hydroponic corn fodder. This study used a Completely Randomized Design (CRD) with an experimental method consisting of 4 treatments and 5 replications. The data obtained were analyzed using Analysis of Variance, and if the test results showed differences, further testing was conducted using the Duncan Multiple Range Test (DMRT). The main treatments were different levels of nitrogen fertilizer application, namely concentrations P0 (0 ml/l), P1 (0.8 ml/l), P2 (1.6 ml/l), P3 (2.4 ml/l). The results showed that different levels of nitrogen fertilizer application did not have a significant effect (P>0.05) on plant height, had a significant effect (P<0.05) on leaf width, leaf length, and stem length, and had a highly significant effect (P<0.01) on stem diameter and number of leaves in hydroponic corn fodder. The research results showed that the growth profile, viewed from the morphology of the stem and leaves in hydroponic corn fodder, showed the best values with increasing N doses, with the best research results shown at the use of N fertilizer dose of 1.6 ml/l (P2). Increasing the level of nitrogen fertilizer can enhance leaf width, leaf length, number of leaves, stem length, and stem diameter
IoT-Based Water Quality Monitoring System Using ESP32 with NSF-WQI Method on Various Water Sources Ulfa Niswatul Khasanah; Moh. Mimbar Fauzi; Fatra Nonggala Putra; Imroatul Fatikha Kurniati; Januar Gilang Ramadhan
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3185

Abstract

Water quality is an important indicator in maintaining environmental health and ecosystem sustainability. Direct water quality monitoring would be challenging for determining the quality of water sources. Therefore, it is necessary to design a real-time Water Quality Index (WQI) monitoring system based on the Internet of Things (IoT) using the ESP32 microcontroller with sensors for pH, temperature, turbidity (NTU), Total Dissolved Solids (TDS), and electrical conductivity (EC). The system is designed to be portable with a battery power source and is capable of sending data in real-time to a server for display via a web interface, as well as providing automatic notifications through Telegram.Water quality assessment is performed using the National Sanitation Foundation Water Quality Index (NSF-WQI) method with four main parameters: pH, temperature, NTU, and TDS. The system is also capable of classifying water quality into 5 categories: Excellent, Good, Medium, Bad, and Very Bad. Laboratory tests were conducted on various liquids (coffee, soap, and milk), followed by field tests at three locations: Tempur River, Paddy Field Irrigation Flow, and Mbelik Tirta Wening Minggirsari Water Source. The measurement results show WQI values of 65–69 (Medium category) for Tempur River, 75–83 (Good category) for Paddy Field Irrigation Flow, and 93–98 (Excellent category) for Mbelik Tirta Wening Minggirsari Water Source. The system successfully demonstrated accurate, responsive, and reliable performance, making it suitable for sustainable water quality monitoring.