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Water Quality Analysis of Nile Tilapia Hatchery Ponds at the Fish Hatchery Center in Tepas Sepakat Village, West Sumbawa Regency Rahman, Abdul; Aulia, Jamiatul; Ulfa, Andi Maria; Hamzah, Amir; Apriani, Ari
Jurnal Pijar Mipa Vol. 20 No. 5 (2025)
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v20i5.9532

Abstract

This research was conducted to evaluate the water quality of Nile tilapia (Oreochromis niloticus) hatchery ponds at the Fish Seed Center (Balai Benih Ikan, BBI) located in Tepas Sepakat Village, West Sumbawa Regency. Water quality is a critical factor that directly influences the success of aquaculture, particularly in hatchery operations where the survival and growth rates of fish fry are highly dependent on optimal environmental conditions. The study assessed key water quality parameters including temperature, dissolved oxygen (DO), pH, ammonia concentration, and water transparency. Measurements were carried out quantitatively through direct sampling from three hatchery ponds containing fry of different ages and sizes, with data collected over three consecutive days during morning and afternoon sessions. The results indicated that all measured parameters remained within the acceptable ranges established by the Indonesian National Standard (SNI 7550:2009) for freshwater aquaculture. Water temperature ranged between 25.9°C and 27.9°C, DO levels varied from 3.9 to 5.2 mg/L, pH values ranged from 7.5 to 8.2, ammonia concentration was consistently below 0.1 mg/L, and water clarity ranged from 40 to 46 cm. Although water clarity slightly exceeded the standard threshold, it was still within a tolerable range that could support sufficient light penetration for photosynthesis without posing risks to the aquatic ecosystem. These findings suggest that the water quality at the BBI Tepas Sepakat hatchery ponds is generally suitable for supporting healthy and productive tilapia breeding. However, continuous monitoring and adaptive water quality management, particularly concerning dissolved oxygen and light penetration, are recommended to maintain optimal rearing conditions and ensure long-term sustainability of the hatchery operations. These findings can serve as a useful reference in promoting sustainable aquaculture practices and can be used in aquaculture training programs to improve water quality management.
The Role of Artificial Intelligence (AI) and its Benefits in Digital Marketing Strategy Apriani, Ari; Sani, Indra; Kurniawati, Lia; Prayoga, Rahmat; Panggabean, Helena Louise
East Asian Journal of Multidisciplinary Research Vol. 3 No. 1 (2024): January 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i1.8075

Abstract

This study explores the role of artificial intelligence (AI) in digital marketing strategy and its benefits. AI is a technology that enables computers or machines to process information and produce outcomes similar to human thought processes. The implementation of AI in marketing can enhance personalization, predictive analytics, chatbots and customer service, content optimization, ad targeting and optimization, and marketing automation. Understanding customer behavior, strategic decision making, tactical marketing, ethical and responsible AI, integration with other technologies, and collaboration with AI providers and start-ups are all best practices for incorporating AI in marketing initiatives. The search results emphasize the anticipated importance of AI solutions in marketing decision-making across the five stages of the marketing process, which include analysis, strategy, tactics, customer interactions, and value proposition creation. With enhanced customization, integration with other technologies, and a stronger emphasis on ethical and responsible AI, the future of AI in marketing analytics is bright. To effectively exploit the power of AI, businesses should invest in AI knowledge, emphasize ethical and responsible AI, focus on customer privacy and data protection, embrace new technologies, and collaborate with AI suppliers and start-ups.