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Fevria, Resti
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Application of pH and TDS Sensors to Optimize the Growth of Green Lettuce (Lactuca sativa L.) in a Hydroponic System Aini, Quratul; Fevria, Resti; Kardiman, Reki; Putri, Irma Leilani Eka
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10764

Abstract

Green lettuce (Lactuca sativa L.) is one of the leafy vegetables that is widely cultivated because it has a relatively short harvest time and high nutritional value, especially as a source of fiber, vitamin A, and vitamin K. This study aims to improve the growth of green lettuce using a DFT (Deep Flow Tecnique) hydroponic system equipped with IoT-based pH and TDS sensors. This study used a completely randomized design (CRD) with two treatments, namely P1 (50% AB Mix + 50% POC) using pH and TDS sensors and P2 (50% AB Mix + 50% POC) without pH and TDS sensors, each with two replications and nine samples per replication. The results showed that the use of pH and TDS sensors significantly increased plant height (32.44 cm), number of leaves (23.66 strands), leaf area (422.8 cm2), wet weight (236.4 g) and dry weight (23.41 g) compared to the manual method. Data analysis using an unpaired t-test at a 5% significance level showed significant differences in most growth parameters. IoT technology has proven effective in increasing the efficiency and productivity of hydroponic systems by providing real-time nutrients according to plant needs. This research supports the development of IoT technology for sustainable agriculture, while also having a positive impact on production efficiency and resource savings.
Application of pH and TDS Sensors to Optimize the Growth of Pakcoy (Brassica rapa L.) Plants in Hydroponic Systems Mardaniyah, Annisa; Fevria, Resti; Kardiman, Reki
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10765

Abstract

Pakcoy (Brassica rapa L.) is a widely cultivated leafy vegetable with high economic value. Limited agricultural land and the need for more efficient cultivation systems encourage the use of hydroponic technology, particularly through the use of pH and TDS sensors to optimize nutrient management. This study aims to compare the growth of pakcoy plants using the Deep Flow Technique (DFT) hydroponic system with pH and TDS sensors and without sensors. The study used a Completely Randomized Design (CRD) with two treatments: 50% AB mix + 50% POC with sensors, and 50% AB mix + 50% POC without sensors, with nine replications. The parameters observed included plant height, number of leaves, leaf area, fresh weight, and dry weight. Data were analyzed using an unpaired t-test at a significance level of 5%. The results showed that the use of pH and TDS sensors significantly affected all growth parameters. The treatment with sensors resulted in higher average values, namely plant height of 25.1 cm, number of leaves of 17.3, leaf area of 514.6 cm², fresh weight of 236.28 g, and dry weight of 30.7 g compared to the treatment without sensors. Automatic nutrient monitoring creates stable solution conditions, thereby increasing nutrient absorption efficiency and plant biomass accumulation. This study concluded that the use of pH and TDS sensors is effective in optimizing and increasing the productivity of bok choy plants in hydroponic systems. It is recommended that IoT-based monitoring technology be applied more widely to improve cultivation efficiency, reduce costs, and support sustainable agriculture.
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