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Penerapan Kontroler Logika Fuzzy sebagai Sarana Pendidikan untuk Mengawasi Kesehatan Air di Tambak Imam Sutrisno; Edy Prasetyo Hidayat; Bima Wahyu Raebawa; Mat Sya'iin; Boedi Herijono; Urip Mudjiono
Jurnal Pendidikan Tambusai Vol. 7 No. 1 (2023): April 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.475 KB)

Abstract

Udang merupakan salah satu komoditas budidaya unggulan di Indonesia, hal ini dapat dilihat dari tingginya permintaan pasar terhadap udang, baik di pasar lokal maupun dari pasar internasional. Salah satu contoh jenis udang yang banyak dibudidayakan di Indonesia adalah udang vaname (Litopenaeus vannamei). Udang vaname atau disebut juga udang putih merupakan spesies udang yang berasal dari Amerika Tengah dan Selatan, seperti Ekuador, Venezuela, Panama, dan Brazil. Selama ini di IBAP (Instalasi Budidaya Air Payau) Banjar Kemuning proses pengukuran parameter air secara manual dan tidak teratur mengakibatkan keterlambatan penanganan udang sakit. Melihat kondisi tersebut, penelitian ini akan membuat sistem yang mampu memantau dan mengklasifikasikan kondisi kualitas air pada tambak menggunakan metode fuzzy dengan parameter berupa pH, suhu, DO, TDS, dan kekeruhan air. Hasil klasifikasi dan pembacaan nilai parameter akan dikirimkan ke website. Berdasarkan hasil pengujian metode fuzzy rata-rata error pada toolbox Matlab dibandingkan Arduino adalah 1,06%. Sedangkan pada pengujian fuzzy menggunakan perhitungan manual dibandingkan dengan hasil pengujian pada toolbox Matlab terdapat error sebesar 0,44%
Design and Strength Analysis of an Amphibious Multipurpose Dredger for the Eastern Surabaya Shipping Lane and the Porong River in Sidoarjo Boedi Herijono; Fangki Indra Wijayanto; Muhammad Ryski Syah Putra; Priyambodo Nur Ardi Nugroho
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 2 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.4931

Abstract

This study investigates the problem of sedimentation in the Porong River and the Eastern Surabaya Shipping Lane by taking a close look at the Amphibious Multipurpose Dredger. The study examines the vessel's parameters (length: 14.30 m, breadth: 4.70 m, height: 1.60 m, draft: 1.10 m) in light of the requirements of coastal reclamation. For stability and pressure studies, manual calculations and Finite Element Method simulations are utilised. The results show that the hollow Spud design is superior to the alternatives in terms of material efficiency (Safety Factor: 12.4032). The research makes a substantial contribution by offering an effective way to address sedimentation issues through improved dredger design. Moreover, it emphasizes the crucial part that an adaptable amphibious multipurpose dredger plays in reducing sedimentation. The study highlights the strategic significance of the recommended spud design, satisfying safety regulations and improving operational efficiency, as coastal ecosystems face rising challenges. For practitioners in environmental and maritime engineering looking for sustainable approaches to the development of coastal infrastructure, this paper is an invaluable resource.
Performance Improvement Incremental Conductance Algorithm using Incremental Fuzzy to Reach GMPP under Partial Shading Conditions Imam Sutrisno; Joessianto Eko Poetro; Pranowo Sidi; Boedi Herijono; Antonius Edy Kristiyono; Monika Retno Gunarti
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 1 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.5044

Abstract

This paper proposes an improved Maximum Power Point Tracking (MPPT) algorithm for photovoltaic (PV) systems under partial shading conditions. The proposed method enhances the widely used Incremental Conductance (IC) algorithm by incorporating an incremental fuzzy control technique. The conventional IC algorithm suffers from limitations in adapting to rapidly changing irradiation conditions due to its fixed step size. The proposed Inc-Fuzzy algorithm dynamically adjusts the step size based on the change in power and voltage, enabling it to better track the Global Maximum Power Point (GMPP) under partial shading. Simulation results demonstrate that the Inc-Fuzzy algorithm achieves an average accuracy of 98.29% under constant irradiation and outperforms the conventional IC algorithm by 1.69% in terms of captured power during sudden irradiation changes. This improvement highlights the effectiveness of the Inc-Fuzzy approach in enhancing the performance of MPPT for PV systems under challenging operating conditions.