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All Journal Jurnal Perikanan Journal of Applied Science, Technology & Humanities
Muhammad Aqshol Dafa Ramadhan
IPB University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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FEASIBILITY STUDY OF THE LOCATION AND CULTIVATION OF TILAPIA AT KADEN FARM, BABAKAN PANJANG VILLAGE, SUKABUMI DISTRICT Amalia Putri Firdausi; Muhammad Sahlan Firjatullah; Reta Sagita; Riem Rahayu Rahman; Rahmah Mulanti; Bintan Naktavia; Muhammad Aqshol Dafa Ramadhan; Zacky Naoval Nainggolan; Jemmy Erwanda Maulana; M. Isya Rais A.; Fika Ismaladewi; Aulia Herlita; Hikmal Yumilzam; Nadira Khalisha; ⁠Maulana Ishaq; ⁠Sofyan Alhaq; Abrisam Hadi Bintoro; Achmad Zidan Akmal Maulana; Risma Arafah Tunisa; Wildan Nurussalam
Jurnal Perikanan Unram Vol 14 No 4 (2024): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v14i4.1251

Abstract

Selecting an optimal aquacultural site can enhance feed efficiency and diminish production costs. Tilapia cultivated in an optimal environment will more readily digest feed and utilize nutrients. This research was conducted through field observations, including soil sampling, water quality measurements, and production performance assessments. The results of the soil texture analysis performed on the two ponds at Kaden Farm indicated that the proportion of sand ranged between 17–18%, dust 42–43%, and clay 40–42%. The water quality was 'slightly suitable,' with a suitability index of 66.67% for Pond 1 and 71.01% for Pond 2. The production performance of the tilapia, as indicated by the survival rate reached 70%, the relative growth rate was 0.017 g/day, and the specific growth rate reached 14.62%. Cultivating tilapia at Kaden Farm in terms of pond media in the form of soil is feasible for cultivation. The results indicate that water quality is slightly below the expected standards. The tilapia production at Kaden Farm is feasible based on the observed survival, relative growth rate, and specific growth rate.
The Use off Fuzzy Mamdani to Predict Tilapia Production Based on Freshwater Quality Muhammad Aqshol Dafa Ramadhan; Muhammad Raulian Deyastra; Fawwaz Fadlurohman; Rahmah Syahidah; Muhammad Radithya Naufal Apriansyah; Devara Ryanta Mulya; Nanda Octavia; Ester Angeline; Muhammad Danang Mukti Dermawan; Bagas Wibisono; Bintan Naktavia; Muhammad Surya Ramadhan; Evita Maharani; Yuliandra Rizky; Yahya Ian Keyvin Sitio; Fira Arista Dewi; Ghinna Zulfia; Putri Ryanda; Rezky Damayanti Nur; Fiqri Nurfadillah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/3jfbnh51

Abstract

Fish cultivation is a form of animal husbandry that is widely practiced by Indonesian people, whether cultivation is in ponds, rivers, or the sea, fish cultivation in ponds requires regular maintenance and feeding of fish. Excessive feeding also affects the water quality of the cultivation media which also affects the survival of the fish. One solution is to build a water quality monitoring system. A monitoring system can be created based on Fuzzy logic which makes it easier to control water quality. In this research, the sensors used were temperature, pH, DO, and ammonia. The data will then be processed by Matlab and will display the results on the screen.
Co-Authors Abrisam Hadi Bintoro Achmad Zidan Akmal Maulana Aulia Herlita Bagas Wibisono Bintan Naktavia Devara Ryanta Mulya Ester Angeline Evita Maharani Fawwaz Fadlurohman Fika Ismaladewi Fiqri Nurfadillah Fira Arista Dewi Firdausi, Amalia Putri Ghinna Zulfia Hikmal Yumilzam Jemmy Erwanda Maulana M. Isya Rais A. Muhammad Danang Mukti Dermawan Muhammad Radithya Naufal Apriansyah Muhammad Raulian Deyastra Muhammad Sahlan Firjatullah Muhammad Surya Ramadhan Nadira Khalisha Nanda Octavia Putri Ryanda Rahmah Mulanti Rahmah Syahidah Reta Sagita Rezky Damayanti Nur Riem Rahayu Rahman Risma Arafah Tunisa Wildan Nurussalam Yahya Ian Keyvin Sitio Yuliandra Rizky Zacky Naoval Nainggolan ⁠Maulana Ishaq ⁠Sofyan Alhaq