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All Journal Jurnal Akuakultur Sungai dan Danau OKTAL : Jurnal Ilmu Komputer dan Sains
Randi Febriansyah
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences Other

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TINGKAT KELANGSUNGAN HIDUP BENIH IKAN BETOK ( Anabas testudineus, Bloch) YANG DIPELIHARA DALAM WADAH MENGGUNAKAN SHELLTER DAN TANPA SHELLTER Randi Febriansyah; Muhammad Sugihartono; M Yusuf Arifin
Jurnal Akuakultur Sungai dan Danau Vol 4, No 2 (2019): Oktober
Publisher : Universitas Batangahari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.708 KB) | DOI: 10.33087/akuakultur.v4i2.54

Abstract

Climbing Perch (Testudineus Anabas, Bloch) are Indonesian native fish that live in freshwater and brackish habitats, these Climbing Perch (A. testudineus, Bloch) have a high economic value not only in the form of live fish as consumption purposes, these fish are in the form processed also has a high selling price on the market. The purpose of this study was to determine the growth and survival rates of Climbing Perch Seeds (A. testudineus, Bloch) which were maintained in containers using shellter and without shellter. This study uses 2 different treatments, namely using shellter and without shellter. The seeds of Climbing Perch are then spread into an aquarium with a volume of 54 liters with a density of 3 fish / liter Climbing Perch. The results showed that the maintenance of Climbing Perch using shellter gave the best growth rate and survival of Climbing Perch.Keywords: Climbing Perch, Shellter Technology, Survival, Water QualityAbstrakIkan betok (Anabas Testudineus, Bloch) merupakan ikan asli Indonesia yang hidup pada habitat perairan tawar dan payau, Ikan betok (A. testudineus, Bloch) ini mempunyai nilai ekonomis yang tinggi tidak hanya dalam bentuk ikan hidup sebagai tujuan konsumsi, ikan ini dalam bentuk olahan juga memiliki harga jual yang tinggi di pasar. Tujuan penelitian ini untuk mengetahui tingkat kelangsungan hidup Benih Ikan Betok (A. testudineus, Bloch) yang dipelihara dalam wadah menggunakan shellter dan tanpa shellter. Penelitian ini menggunakan 2 perlakuan yang berbeda yaitu menggunakan shellter dan tanpa shellter. Benih ikan betok kemudian ditebarkan kedalam akuarium dengan volume sebanyak 54 liter dengan kepadatan benih ikan betok 3 ekor/liter. Hasil penelitian menunjukan bahwa pemeliharaan benih ikan betok menggunakan shellter memberikan tingkat kelangsungan hidup benih ikan betok terbaik.Kata Kunci : Benih Betok, Teknologi Shellter, Kelangsungan Hidup, Kualitas Air
Pembelajaran Machine Learning Agung Wijoyo; Asep Yudistira Saputra; Safitri Ristanti; Sultan Rafly Sya’Ban; Mila Amalia; Randi Febriansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 02 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Machine learning is a system that can learn to make decisions on its own without having to be programmed repeatedly by humans so that computers can become smarter and learn from their experiences with data. Based on the learning technique, supervised learning can be distinguished by using labeled datasets (training data), while unsupervised learning draws conclusions based on datasets. Input in the form of a dataset is used by machine learning to produce the right analysis. The solution uses Python which provides the algorithms and libraries used to create machine learning. Artificial intelligence (AI) is now rising again after decades of ups and downs. Artificial intelligence is back in popularity where its application is carried out massively in today's business and social media applications such as Facebook, Twitter, Google, Amazon, and even various large applications from Indonesia such as Go-jek, Tokopedia, and so on. The structure of the discussion in this book includes 3 major sections, namely (1) Concept of Machine Learning and Artificial Intelligence (2) Fundamentals of Python Programming for Machine Learning and (3) Examples of Application of Machine Learning Using Python by implementing several algorithms, both Supervised Learning and Unsupervised Learning. Several case studies are discussed in full starting from understanding algorithms, dataset processing to training and testing as well as visualizing the results of the machine learning models developed.
Co-Authors Agung Wijoyo Asep Yudistira Saputra M Yusuf Arifin Mila Amalia Muhammad Sugihartono Safitri Ristanti Sultan Rafly Sya’Ban