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WICK SYSTEM IN VARIOUS NUTRITION COMBINATIONS ON PAKCOY GROWTH AND YIELD Agustina, Rohmatin; Oktaviani, Widya; Jumadi, Rahmad; Ardiansyah, Heri
Jurnal Agrotek Tropika Vol. 13 No. 3 (2025): JURNAL AGROTEK TROPIKA VOL 13, AGUSTUS 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i3.8859

Abstract

This study aimed to examine the growth and yield of cabbage (Brassica rapa L.) plants grown in a hydroponic wick system using varying doses of AB Mix nutrients and Azolla liquid organic fertilizer (POC). POC Azolla is expected to serve as a replacement nutrient in hydroponics. In this study, a one-factorial group randomized design was used where P0: no POC Azolla nutrient and P1: AB Mix 100%; P2: POC Azolla 100%; P3: AB Mix 90% + POC Azolla 10%; P4: AB Mix 75% + POC Azolla 25%; P5: AB Mix 60% + POC Azolla 40%; P6: AB Mix 45% + POC Azolla 55%; P7: AB Blend 30% + POC Azolla 70%; P8 : AB Mix 15% + POC Azolla 85%. Three replicates of each treatment were performed. Annova was used for data analysis: Duncan's distance test should be performed at a significant level of 5% if a difference is found. The average growth variables of plant height (16.5 cm), number of leaves (18 strands), root length (18.33 cm), fresh plant weight (81.17 g) and dry plant weight (4.42 g) showed the same trend in the combination (AB Mix 75% + POC Azzola 25%), suggesting that this combination could be an alternative to the AB Mix 100% treatment.  The hydroponic cultivation of the wick system on Pakcoy plants has not been able to prove the use of POC Azzola alone. The use of POC Azzola is at least able to reduce the use of AB Mix by 25%.
PELACAKAN DAYA MAKSIMUM PADA PEM FUEL CELL MENGGUNAKAN PARTICLE SWARM OPTIMIZATION TERINTEGRASI INTERLEAVED BUCK-BOOST CONVERTER Pressa P. S. Saputra; Zainal Mustakim; Heri Ardiansyah; Rifqi Firmansyah
Scientific Journal of Mechanical Engineering Kinematika Vol 11 No 1 (2026): SJME Kinematika June 2026
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v11i1.848

Abstract

This study proposes a Maximum Power Point Tracking (MPPT) method based on Particle Swarm Optimization (PSO) to enhance power extraction performance in Proton Exchange Membrane Fuel Cell (PEMFC) systems operating under dynamic and varying environmental conditions. The proposed method is designed to optimize the system's operating point to ensure that the power generated by the fuel cell is fully utilized. In this research, the PSO algorithm is integrated with an Interleaved Boost–Buck Converter (IBBC), which functions to reduce current ripple and improve the stability of the output power in the energy conversion system. This integration is expected to provide a faster and more efficient system response in adjusting to changes in operational conditions. One of the main challenges in implementing MPPT in PEMFC-based systems is the nonlinear characteristics of PEMFC itself, which are highly influenced by various external parameters such as operating temperature, hydrogen pressure, and membrane water content. Variations in these parameters can cause fluctuations in output voltage and current, making the maximum power point tracking process more complex. Therefore, an adaptive optimization method with good convergence ability is required. Simulation results demonstrate that the proposed PSO method achieves a tracking accuracy of up to 99.96% with a settling time of 2 seconds under varying membrane water content conditions. The PSO approach also outperforms the Fuzzy Logic and Cuckoo Search Algorithm (CSA) methods. These findings confirm that the integration of PSO and IBBC significantly improves both the accuracy and speed of MPP tracking in PEMFC systems.
Penerapan Irigasi Tetes Bertenaga Surya dengan Sistem Otomatis Mikrokontroler Pada Kelompok Tani Kabupaten Lamongan Ardiansyah, Heri; Shodiq, Muhammad; Mahbubillah, M Ainul; Agustina, Rohmatin; Gymnastiar, Abdullah Hakim; Rahmadani, Muhammad Rizky; Akrom, Fatahillah; Putra, Ahmad Faris Rachmad; Ramadhan, Hanif Azhar; Haq, Zufar Faiil
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 1 (2025): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i1.93488

Abstract

Keterbatasan sumber daya air di lahan tadah hujan menjadi tantangan utama bagi petani, terutama selama musim kemarau, yang membatasi aktivitas budidaya dan berdampak pada pendapatan rumah tangga. Program pengabdian masyarakat ini bertujuan untuk mengatasi masalah tersebut melalui penerapan teknologi irigasi tetes bertenaga surya dengan sistem kecerdasan buatan menggunakan sensor kelembaban dan suhu tanah di Kelompok Tani Kabupaten Lamongan. Metode pelaksanaan meliputi perancangan dan instalasi sistem irigasi otomatis, pelatihan penggunaan teknologi kepada petani, serta pendampingan budidaya cabai selama musim kemarau. Hasil program menunjukkan bahwa lebih dari 90% petani mengakui manfaat dari irigasi otomatis ini dan berencana untuk menerapkannya, baik secara mandiri (25%) maupun melalui kelompok tani (32,5%). Selain itu, 35% petani memilih untuk mengombinasikan sistem irigasi otomatis dengan metode konvensional untuk menyesuaikan kebutuhan air sesuai musim. Penerapan teknologi ini tidak hanya memungkinkan petani untuk tetap menanam di musim kemarau, tetapi juga meningkatkan pendapatan mereka secara signifikan. Kesimpulannya, teknologi irigasi tetes bertenaga surya yang dilengkapi kecerdasan buatan terbukti efektif dalam meningkatkan efisiensi penggunaan air dan kesejahteraan petani, serta dapat direplikasi untuk mendukung ketahanan pangan dan produktivitas pertanian di wilayah lain.