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PELS (Procedia of Engineering and Life Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 671 Documents
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Adaptive PSO-Based Predictive Control for Photovoltaic Inverters Mraidi, Maytham Jawad
Procedia of Engineering and Life Science Vol. 8 No. 1 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i1.2681

Abstract

General Background : The rising global penetration of photovoltaic (PV) systems necessitates inverter technologies capable of maintaining power quality under dynamic conditions. Specific Background : Finite Set Model Predictive Control (FS-MPC) offers fast dynamic response but remains limited by fixed, manually tuned weighting factors that do not adjust to changing irradiance, loads, or grid disturbances. Knowledge Gap: Existing studies rarely provide real-time adaptive tuning mechanisms that remain computationally feasible for embedded inverter applications. Aim: This study proposes a hybrid control strategy that integrates FS-MPC with Particle Swarm Optimization (PSO) to automatically adjust cost-function weights during operation. Results: Simulations in MATLAB/Simulink show that the PSO-FS-MPC controller achieves lower THD (2.1%), faster settling time (8 ms), and higher conversion efficiency (96.8%) than conventional FS-MPC and PI-SPWM methods across irradiance drops, load variations, grid sags, and partial shading. Novelty: The method performs continuous, real-time parameter adaptation using a lightweight optimization layer without exceeding computational limits. Implications: These findings indicate that adaptive predictive control can support more stable, efficient, and grid-compliant PV inverter operation under realistic dynamic scenarios. Highlights: Introduces real-time adaptive tuning for FS-MPC using PSO. Achieves superior THD, efficiency, and transient response under dynamic conditions. Demonstrates computational feasibility for practical inverter implementation. Keywords: PV Inverter, Model Predictive Control, Particle Swarm Optimization, Power Quality, Adaptive Tuning
Advanced Hybrid PID–Adaptive Control Strategy for Enhanced Gas Turbine Engine Performance Ghmayes, Iqdqm Khairullah
Procedia of Engineering and Life Science Vol. 8 No. 1 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i1.2686

Abstract

General Background Gas turbine engines operate under highly variable and nonlinear conditions, yet conventional fixed-gain PID controllers cannot sustain optimal performance as operating points shift and components age. Specific Background The integration of a Two-Degree-of-Freedom PID with real-time adaptive mechanisms offers a promising pathway to enhance tracking accuracy, disturbance rejection, and long-term robustness. Knowledge Gap Existing studies rarely evaluate a fully integrated hybrid architecture that combines 2-DOF PID, adaptive estimation, anti-windup, and bumpless transfer under realistic disturbances, degradation, and noise. Aims This study designs and validates a Hybrid 2-DOF PID–Adaptive controller for a single-shaft industrial gas turbine using high-fidelity MATLAB/Simulink modeling. Results The hybrid controller significantly reduced overshoot, accelerated settling time by more than 20 percent, and maintained near-nominal performance under 10 percent simulated efficiency loss, outperforming fixed-gain PID, fixed-gain 2-DOF PID, and standalone MRAC. Novelty The research provides a unified, computationally efficient architecture that stabilizes transient behavior while continuously adapting to plant variations. Implications These findings demonstrate a practical upgrade path for industrial gas turbines, offering improved efficiency, reduced thermal stress, and enhanced reliability across the engine lifecycle.Highlight : Emphasizes the role of hybrid architecture in improving transient response and stability. Highlights adaptive capabilities to maintain performance during component degradation. Demonstrates significant improvements over conventional controllers in various test scenarios. Keywords : Gas Turbine, Hybrid Control, 2-DOF PID, Adaptive Control (MRAC/RLS), Disturbance Rejection
The Effect of Pindstrup Growing Media on the Growth and Yield of Melon Plants (Cucumis melo L.): Pengaruh Media Tanam Pindstrup terhadap Pertumbuhan dan Hasil Tanaman Melon (Cucumis melo L.) Saputra, Aditya Fajar; Abror, M.
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2488

Abstract

This study aims to determine the effect of Pindstrup growing media on the growth and yield of melon plants (Cucumis melo L.) in Netafarm, Taman Sidoarjo. The research was conducted using two different planting media: Pindstrup peat moss and conventional soil media as control. Growth parameters observed include plant height, leaf number, fruit weight, and fruit quality. The results showed that Pindstrup media significantly affected melon growth, resulting in better plant vigor, higher fruit weight, and improved fruit sweetness compared to the control. Therefore, Pindstrup media can be recommended as an effective growing medium for melon cultivation in controlled farming systems.    
Analysis of Planting Distance in the Cultivation of Cavendish Banana Plants in Petani Desa (pEdE) Durungbedug, Candi Sidoarjo : Analisa Jarak Tanam Pada Budidaya Tanaman Pisang Cavendish di Petani Desa (pEdE) Durungbedug Candi Sidoarjo Alifiansyah Putra, Muhammad; Abror, M
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2501

Abstract

The purpose of this internship was to analyze the effect of planting distance on the vegetative growth of Cavendish banana plants (Musa acuminata AAA group) on the farmland of Petani Desa (pEdE) Durungbedug, Candi, Sidoarjo. Planting distance is an important factor in banana cultivation because it affects the availability of growing space, nutrient absorption, light intensity, and land use efficiency. This internship used an observational-participatory method with three planting distance treatments: 1.5 x 1.5 meters, 2 x 2 meters, and 2.5 x 2.5 meters. The observed parameters included plant height, number of leaves, and pseudostem diameter during the observation period of approximately 2 months. The results showed that a planting distance of 2 x 2 meters produced the best growth, with an average plant height of 145 cm, 9 leaves, and a pseudostem diameter of 21 cm. The planting distance of 1.5 x 1.5 meters showed stunted growth due to interplant competition, while the distance of 2.5 x 2.5 meters provided The growth is quite good but less efficient in terms of land productivity. Based on these results, a planting distance of 2 x 2 meters is recommended as the optimal spacing for cultivating Cavendish bananas under environmental conditions with medium–high rainfall and good fertilization management. Keywords: Cavendish banana, planting distance, vegetative growth, land efficiency, banana cultivation
Cultivation of Pakcoy Mustard (Brassica rapa L.) in a Hydroponic System in a Surabaya Vegetable Garden: Analysis of Plant Nitrogen Requirements: Budidaya Sawi Pakcoy (Brassica rapa L.) pada Sistem Hidroponik di Kebun Sayur Surabaya: Analisis Kebutuhan Nitrogen Tanaman Aprilia, Radytha; Miftakhurrohmat, A.
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2520

Abstract

Penelitian ini dilakukan untuk mengetahui kebutuhan nitrogen pada tanaman sawi pakcoy ( Brassica rapa L.) yang dibudidayakan dengan sistem hidroponik Nutrient Film Technique (NFT) di Kebun Sayur Surabaya. Kegiatan berlangsung dari 28 Juli hingga 23 Agustus 2025 dan bersifat observatif-deskriptif melalui pengamatan langsung terhadap pertumbuhan serta kondisi fisiologis tanaman. Variabel yang diamati meliputi tinggi tanaman, jumlah daun, tingkat kehijauan daun menggunakan Leaf Color Chart (LCC), dan bobot segar saat panen. Hasil menunjukkan bahwa ketersediaan nitrogen berpengaruh nyata terhadap pertumbuhan vegetatif pakcoy. Tanaman dengan tingkat kehijauan daun LCC 4–5 tumbuh paling optimal, memiliki tinggi rata-rata 25,8 cm, jumlah daun 11–12 helai, serta bobot segar mencapai 175,7 gram. Sementara itu, tanaman dengan nilai LCC 2–3 menunjukkan pertumbuhan lebih lambat dan daun berwarna kekurangan akibat kekurangan nitrogen. Penggunaan LCC terbukti efektif sebagai metode sederhana dalam menilai kebutuhan nitrogen tanpa analisis laboratorium, sehingga dapat dijadikan acuan bagi pelaku budidaya hidroponik dalam pengelolaan nutrisi. Hasil penelitian membuktikan bahwa pengaturan nitrogen yang tepat menjadi kunci dalam meningkatkan pertumbuhan, produktivitas, dan kualitas sawi pakcoy pada sistem hidroponik yang efisien dan berkelanjutan.
Cultivation of Pakcoy (Brassica rapa subsp. Chinensis) Using Hydroponics and Its In Situ Utilization for Consumption: Budidaya Pakcoy (Brassica rapa subsp. Chinensis) Sistem Hidroponik dan Pemanfaatannya Secara In Situ Untuk Konsumsi Septabrina, Canda Kharisma; Sutarman
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2546

Abstract

This study aimed to analyze the cultivation process of pakcoy (Brassica rapa subsp. Chinensis) using the Nutrient Film Technique (NFT) hydroponic system, focusing on the effects of nutrient concentration variations on plant growth and quality, as well as its in situ utilization to ensure food safety and nutritional value. The experiment was conducted for 24 days with three nutrient concentration treatments. Observed parameters included plant height, leaf number, fresh weight, vitamin C content, and antioxidant activity. The results revealed that nutrient concentration significantly affected vegetative growth and crop quality. Optimal growth occurred at an electrical conductivity (EC) range of 1.5–2.0 mS/cm, producing an average plant height of 18.5 cm, fresh weight of 110 g, vitamin C content of 42 mg/100 g fresh weight, and antioxidant activity of 55%. Both low and high nutrient levels decreased nutrient uptake efficiency due to ionic stress. In situ utilization of harvested crops resulted in a 5–10% reduction in vitamin C and a 3–8% reduction in antioxidant activity, yet the nutritional quality remained acceptable for fresh consumption. Overall, the NFT hydroponic system proved effective in enhancing growth performance, water efficiency, and nutritional quality of pakcoy, making it suitable for sustainable urban agriculture applications.
The Effect of Anfush Fertilizer on the Growth and Yield of Passion Fruit (Passiflora edulis) : Pengaruh Pupuk Anfush terhadap Pertumbuhan dan Hasil Tanaman Markisa (Passiflora edulis) Rachmadani, Putri Karina; Abror, M.
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2548

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pupuk Anfush terhadap pertumbuhan dan hasil tanaman markisa (Passiflora edulis) di lahan Netafrm,Taman Sidoarjo . Penelitian menggunakan dua jenis perlakuan pemupukan, yaitu pupuk majemuk Anfush dan pupuk NPK konvensional sebagai kontrol. Parameter pertumbuhan yang diamati meliputi panjang batang, jumlah daun, bobot buah, dan kualitas buah (tingkat kemanisan). Hasil penelitian menunjukkan bahwa pupuk Anfush berpengaruh signifikan terhadap pertumbuhan markisa, menghasilkan vigor tanaman yang lebih baik, bobot buah lebih tinggi, dan tingkat kemanisan buah yang lebih baik dibandingkan kontrol. Oleh karena itu, pupuk Anfush direkomendasikan sebagai input nutrisi yang efektif untuk budidaya markisa pada sistem pertanian semi-terkontrol.
The Impact of NPK 16-20-16 Fertilizer Application on Increasing Eggplant (Solanum melongena L.): Dampak Aplikasi Dosis Pupuk NPK 16-20-16 Terhadap Peningkatan Hasil Panen Tanaman Terong (Solanum melongena L.) Puspita, Fadia Nasalita; Abror, M.
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2550

Abstract

This study aims to determine the impact of applying different doses of NPK fertilizer (16-20-16) on the yield performance of eggplant (Solanum melongena L.). The research was conducted at the experimental field using a Randomized Complete Block Design with four fertilizer treatments: 0 g/plant, 5 g/plant, 10 g/plant, and 15 g/plant. Parameters observed included plant height, number of leaves, number of flowers, fruit set, fruit weight, and total yield per plant. The results indicated that NPK fertilizer application significantly improved eggplant growth and yield. The 10 g/plant dose produced the best performance in terms of fruit weight and total yield, while excessive dosage (15 g/plant) did not further increase yield significantly. Therefore, optimal NPK application can enhance eggplant productivity in sustainable farming systems.
Experimental Study of an Aquaponic System with Leeks and a Fish Pond: Effectiveness and Productivity: Studi Experimental Sistem Aquaponik dengan Daun Bawang dan Kolam Ikan: Efeksitas dan Produktivitas Handoko, Muhammad; Miftakhurrohmat, A.
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2905

Abstract

The growth of shallot plants using conventional soil methods is often constrained by the limited efficiency of water use and uneven nutrient availability. This study aims to analyze the effectiveness of an aquaponic system with various growing media (gravel, charcoal, cocopeat, and hydroton) compared to conventional soil cultivation. The experimental method was conducted by observing leaf length (cm) and the number of leaves over 15 days in each growing medium. The results showed that the aquaponic system significantly enhanced shallot growth compared to the soil method. Hydroton medium provided the best results, with leaf length reaching 28 cm and 7 leaves within 15 days, outperforming other media. Growth efficiency in hydroton reached 84.21% at the 5-day observation. The study concludes that the aquaponic system is more efficient in supporting shallot growth than the soil method, offering better water savings, more consistent nutrient availability, and supporting the concept of sustainable agriculture.  
Artificial Intelligence for a Circular Economy of Renewable Energy Infrastructure: A Comprehensive Review of AI-driven Solutions for Recycling, Repurposing, and Environmental Lifecycle Management of Solar Panels and Wind Turbines: Kecerdasan Buatan untuk Ekonomi Sirkular Infrastruktur Energi Terbarukan: Tinjauan Komprehensif tentang Solusi Berbasis Kecerdasan Buatan untuk Daur Ulang, Penggunaan Kembali, dan Pengelolaan Siklus Hidup Lingkungan Panel Surya dan Turbin Angin Abdulhasan, Mahmood Jamal; Nadweh, Safwan; Khader, Aya Haider; Shayyish, Yaqoub Shamal
Procedia of Engineering and Life Science Vol. 8 No. 2 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i2.2932

Abstract

General Background: The rapid global deployment of solar photovoltaic and wind energy systems is central to climate change mitigation but generates a growing end-of-life waste challenge. Specific Background: By 2050, cumulative waste from solar panels and wind turbine blades is projected to reach tens of millions of tons, while current linear recycling systems face technical inefficiencies and economic constraints. Knowledge Gap: There is a lack of scalable and economically viable circular management solutions capable of addressing complex composite materials and lifecycle optimization in renewable energy infrastructure. Aims: This study systematically evaluates Artificial Intelligence applications across the lifecycle of solar panels and wind turbines to assess their role in enabling circular economy strategies. Results: Based on a systematic review of 496 publications and quantitative synthesis, AI-driven solutions demonstrate 35.8% carbon emission reduction per recycled solar panel, 33% improvement in material recovery rates, 43.8% gains in disassembly efficiency, and 62.5 kg CO2 savings per logistics operation. Novelty: The study develops an integrated analytical framework linking Machine Learning, Computer Vision, Robotics, Digital Twins, and lifecycle assessment within renewable energy circularity. Implications: The findings support AI-enabled reverse logistics, Digital Product Passports, and policy-informed lifecycle management as foundational mechanisms for sustainable renewable energy systems. Keywords: Artificial Intelligence, Circular Economy, Renewable Energy Systems, Lifecycle Assessment, Waste Management Key Findings Highlights: Carbon savings of 35.8% achieved through intelligent recycling workflows Material recovery improvements reached up to 33% across PV components Logistics routing reduced transport-related CO2 by 62.5 kg per delivery

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