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EVALUATION OF WATER QUALITY AND GROWTH PERFORMANCE OF RED TILAPIA (Oreochromis sp) IN CULTURE USING BIOFLOCK TECHNOLOGY Putra, Iskandar; Rusliadi, Rusliadi; Masjudi, Heri; Alfinda, Rudi; Asiddiqqi, Hasby; Syahroni, Desty; Kurniawan, Ronal; Firmansyah, Rodhi; Yulindra, Ade
Asian Journal of Aquatic Sciences Vol. 7 No. 2 (2024): August
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.7.2.305-311

Abstract

Water quality plays an important role in maintaining and increasing fish production. Tilapia (Oreochromis niloticus) is one of Indonesia's freshwater fish that has economic value. To increase production, tilapia cultivation is carried out intensively, characterized by high stocking density and provision of protein-rich feed. Good water quality control and feeding are key to the success of this intensive culture. Biofloc technology is one of the appropriate technologies for intensive tilapia rearing since fish can live at high densities and have a wide environmental tolerance. Biofloc technology is an alternative solution to problems in overcoming cultivation waste such as ammonia and nitrite. Based on the above, this study was conducted to determine the effectiveness of the biofloc system in converting ammonia compounds, improving water quality in the aquaculture environment, and understanding the relationship between water quality and tilapia growth. The research was conducted for 60 days to measure several water quality parameters, namely temperature, dissolved oxygen, acidity (pH), and ammonia, and to observe the growth parameters of tilapia. The treatment applied in this study was the addition of probiotics in feed with four treatments and three replications. The results showed that the biofloc system's water quality is tolerant to tilapia growth. The best growth results in treatment A with each value of absolute weight 14.70±0.10d, absolute length 6.70 ± 0.10d, specific growth rate 3.87±0.01c, and survival rate 100±0.00b
Implementasi Teknologi Budidaya Ikan Patin Pustina (Pangasionodon hypophthalmus) Berbasis Probiotik dan Pakan Herbal pada Kelompok Budidaya Pokdakan Bangun Makmur, Desa Parit Aman, Kecamatan Bangko, Kabupaten Rokan Hilir Rusliadi, Rusliadi; Masjudi, Heri; Putra, Iskandar; Sumiarsih, Eni; Firmansyah, Rodhi; Yulindra, Ade; Mutamima, Annisa; Yudha, Pajri Ananta
Journal of Rural and Urban Community Empowerment Vol. 6 No. 1 (2024): Oktober
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

Kelompok petani ikan “Bangun Makmur” dari Desa Parit Aman, Kecamatan Bangko, Kabupaten Rokan Hilir, telah berpartisipasi dalam kegiatan pengabdian masyarakat dengan tujuan memperkenalkan dan menerapkan teknologi budidaya ikan, terutama teknologi probiotik untuk media air budidaya dan teknologi pakan yang ditambahkan bahan herbal (rabal dan kunyit putih), serta meningkatkan pendapatan dan menciptakan lapangan kerja di wilayah tersebut. Metode yang digunakan mencakup ceramah, praktik, pendampingan, serta pemantauan dan evaluasi terhadap proses budidaya ikan. Melalui metode diskusi dan praktik, atau yang dikenal dengan istilah "learning by doing", mayoritas masyarakat berhasil memahami konsep teknologi probiotik dan pakan herbal. Evaluasi menunjukkan bahwa sebagian masyarakat telah menerapkan teknologi tersebut dengan membangun kolam dan menjalankan budidaya ikan secara efektif. Inisiatif ini menandai peralihan dari ketergantungan terhadap sektor kelapa sawit yang fluktuatif menjadi usaha alternatif yang berkelanjutan. Hasil pengabdian ini menegaskan pentingnya peran teknologi dan pendidikan dalam meningkatkan kemandirian ekonomi dan memperkuat sektor perikanan lokal.
WATER QUALITY MANAGEMENT TRANSFORMATION THROUGH DEEP LEARNING: FROM LABORATORY TO LARGE-SCALE IMPLEMENTATION (OCEAN) Nur, M Irsyad; Aprisanti, Rizka; Kurniawan, Ronal; Yulindra, Ade; Azuga, Nabila Afifah; Kholis, M Natsir; Limbong, Irwan
Asian Journal of Aquatic Sciences Vol. 8 No. 1 (2025): April
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.8.1.102-109

Abstract

The exponential growth of environmental challenges, particularly those affecting water resources, necessitates innovative technological interventions beyond conventional approaches. This review explores the transformative potential of deep learning technologies in water quality management across different scales from controlled laboratory environments to complex oceanic systems. By analyzing recent developments, we identify how neural networks, especially convolutional and recurrent architectures, have revolutionized water quality parameter prediction, anomaly detection, and ecosystem monitoring. Integrating multi-modal data streams with advanced algorithms has enabled unprecedented predictive accuracy and real-time assessment capabilities, transforming reactive monitoring systems into proactive management frameworks. Despite significant progress, challenges remain in data standardization, model interpretability, and the practical deployment of these technologies in resource-constrained settings. This review critically assesses current research trajectories and identifies promising avenues for future development, emphasizing the importance of interdisciplinary collaboration in translating laboratory innovations to large-scale implementation for safeguarding our most precious resource
CONTROLLING CANNIBALISM OF ASIAN REDTAIL CATFISH (Hemibagrus nemurus) LARVAE USING PASTE FEED SUPPLEMENTED WITH TURMERIC FLOUR Yulindra, Ade; Benny Heltonika; Netti Aryani
Asian Journal of Aquatic Sciences Vol. 8 No. 2 (2025): August
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.8.2.310-318

Abstract

Cannibalism is a significant issue during the early stages of Asian redtail catfish (Hemibagrus nemurus) culture, as it negatively affects survival rates. This study aimed to investigate of turmeric (Curcuma longa) flour supplementation in pasta feed to control cannibalism in Asian redtail catfish larvae and the potential to replace silk worm as a feed. A completely randomized design (CRD) was employed, consisting of five treatment groups with four replications each. The larvae were fed pasta diets supplemented with varying doses of turmeric flour (0, 5, 10, and 15 mg/kg), along with a comparative feed using Tubifex sp. The parameters assessed included cannibalism rate, survival rate, and growth performance. The results showed that the highest survival rate (93.33 ± 1.33%) and lowest cannibalism index (2.67 ± 0.94%) were observed in the group fed Tubifex sp. The highest weight gain (24.22 ± 0.53 g) and specific growth rate (9.35 ± 0.03%) were also recorded in this group. However, supplementation of turmeric flour at a dosage of 15 mg/kg in pasta feed was able to reduce cannibalism and improve the growth of Asian redtail catfish larvae. This treatment resulted in a cannibalism index of 11% and a survival rate of 82.67%. In terms of growth performance, larvae under this treatment exhibited a weight gain of 6.13 g, a length gain of 3.58 cm, a specific growth rate (SGR) of 6.07%/day, and a particular growth rate of length (SLR) of 4.25%/day. Pasta feed supplemented with 15 mg/kg turmeric flour can serve as an alternative to replace silk worms, achieving 25% of their weight gain and 63% of their length gain.