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Inovasi Teknologi dalam Budidaya Udang: Penggunaan Water Quality Meter untuk Meningkatkan Produktivitas Udang di Sidoarjo Gunawan, Agus Indra; Ariwibowo, Teguh Hady; Nurmaida, Firnanda Pristiana; Ariyanto, Ferry; Kamaluddin, Muhammad Wafiq; Sanaba, Utari; Habibulloh, Muhamad Aldino; Tambunan, Orlando Pratama
Sewagati Vol 8 No 3 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i3.982

Abstract

Pengabdian masyarakat ini bertujuan untuk meningkatkan kualitas lingkungan perairan yang vital bagi petani udang di Sidoarjo. Dengan memberikan water quality meter kepada para petani, kami berupaya meningkatkan pemahaman mereka terhadap parameter-parameter kritis dalam air yang berpengaruh pada pertumbuhan udang. Melalui serangkaian pelatihan dan bimbingan, petani diberi pengetahuan tentang cara menggunakan alat ini untuk memantau kualitas air secara mandiri. Selain itu, kami juga menyediakan informasi dan panduan praktis dalam mengelola kualitas air secara optimal. Metode yang digunakan dalam pengabdian masyarakat ini melibatkan pendekatan partisipatif, di mana kami bekerja sama dengan komunitas petani udang untuk menentukan kebutuhan mereka dan menyusun strategi yang sesuai. Kami juga melakukan pemantauan berkala untuk mengevaluasi efektivitas alat ini dalam membantu petani mengelola kualitas air secara lebih efisien. Hasil dari pengabdian masyarakat ini menunjukkan peningkatan signifikan dalam pemahaman petani tentang faktor-faktor yang memengaruhi kualitas air untuk budidaya udang. Para petani juga melaporkan peningkatan produksi dan kesehatan udang setelah menerapkan pengetahuan yang didapat dari penggunaan alat ini. Kesimpulannya, pemberian water quality meter dan pendidikan yang terkait membantu petani udang dalam meningkatkan pemantauan dan manajemen kualitas air secara mandiri. Langkah ini dapat berpotensi meningkatkan produktivitas serta keberlanjutan usaha budidaya udang di komunitas ini.
Implementasi Modul Water Quality Meter pada Komunitas Petani Udang Vaname Jawa Timur Nurmaida, Firnanda Pristiana; Gunawan, Agus Indra; Ariwibowo, Teguh Hady; Ariyanto, Ferry; Sanaba, Utari; Habibulloh, Muhamad Aldino; Tambunan, Orlando Pratama; Kamaluddin, Muhammad Wafiq
GUYUB: Journal of Community Engagement Vol 5, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v5i1.7942

Abstract

Vannamei shrimp is one of the leading commodities in fisheries aquaculture, due to its competitive price and the ability to be mass-produced with high stocking densities. Many coastal communities in East Java capitalize on this opportunity by engaging in vannamei shrimp cultivation. However, most shrimp farmers still measure pond water quality using conventional methods and record water quality parameters on paper, which is highly inefficient. With this issue in mind, the author sought to engage in community service by inviting representatives from the East Java vannamei shrimp farming community. The method involved delivering lectures and interactive discussions with shrimp farmers to understand their perceptions and insights regarding pond water quality, followed by the handover of modules, and subsequently evaluating the modules' usage by the shrimp farmers. As a result of this community service, we introduced a tool to assist traditional shrimp pond farmers in monitoring water quality, in the form of a "Water Quality Meter" module integrated with a website accessible via smartphones and laptops. The "Water Quality Meter" module was designed with a system to portable monitor pond water quality using Internet of Things (IoT) technology, where data obtained by microcontrollers is transmitted to a database to determine the quality value of pond water. Evaluation results indicate that farmers can use the module effectively, and data collected on the website shows that pond water quality for the farmers remains within normal ranges. Shrimp farmers directly benefit from using the module, as the shrimp pond monitoring process becomes more practical and accurate. 
Algae content estimation utilizing optical density and image processing method Kamaluddin, Muhammad Wafiq; Gunawan, Agus Indra; Setiawardhana, Setiawardhana; Dewantara, Bima Sena Bayu; Insivitawati, Era; Asmarany, Anja; Pratama, Ariesa Editya
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6248-6257

Abstract

One of the factors that influence shrimp cultivation is the presence of algae. Precise knowing algae content in the pond is essential for effective management. Most research in the field of algae species carried out by researchers were observing Chlorella Sp. more than the other algae species, with a particular emphasis on substance concentrations. This study proposed non-invasive techniques for quantifying algae abundance, utilizing optical density (OD) and image processing (IP) methods. Three different algae species are frequently found in Indonesia i.e., Chlorella Sp., Thalassiosira Sp., and Skeletonema Sp. are used as sample. Those samples are cultured and prepared in a certain volume with a certain quantity. For experimental and observation purposes, those samples are then diluted into water based on percentage value. The experimental results provided RGB values, which were then used to establish polynomial equations. To verify these equations, two approaches were employed: synthetic image analysis and evaluation using additional data. The mean average error (MAE) was found to be 3.467 for IP method and 3.513 for OD method. It shows that IP method give better result compared to OD method in this study. However, it is very possible that the two methods will complement each other.