Rancang bangun otomatisasi pemberian pakan dan pengaturah Ph air pada sirkulasi tambak udang berbasis Atmega32
Bibliographic record
Abstract
Abdi, Offi Surya. 2017. Prototipe Sistem Sirkulasi Air Tambak dan Pakan Ikan Otomatis Berbasis Arduino. (Skripsi, 2019, September 8).Diunduhhttp://eprints.ums.ac.id/id/eprint/58809. \nAlimudin. 2013. Sistem Kendali dan Monitoring Kadar pH, Suhu dan Level Air Pada Kolam Pembenihan (Hatchery) Udang. Skripsi. Program Pasca Sarjana. Universitas Hasanuddin.Amri, Khairul dan Iskandar, Kanna. 2008. Secara Insentif, Semi Insentif dan Tradisional. Jakarta : PT. Gramedia. \nCahyono, yusuf dwi. 2018. Mesin Pakan Otomatis Pada Budidaya Ikan Air Tawar Menggunakan SMS Berbasis Mikrokontroler Arduino Mega. Jurnal Elektonik Pendidikan Teknik Elektronika. 7(1): 18-24. Diunduh http://journal.student.uny.ac.id.Diza K, Vandra, Zulhelmi, & Mohd, Syaryadhi. 2017. Monitoring Suhu dan Kelembaban Menggunakan Mikrokontroller Atmega328 Pada Proses \nDekomposisi Pupuk Kompos. Jurnal Teknik Elektro. 2(3): 91-98. Diunduh dari http://jurnal.unsyiah.ac.id.E. Barus, Eltra. 2018. Otomatisasi Sistem Kontrol pH dan Informasi Suhu pada \nAquarium Menggunakan Arduino Uno dan Raspberry PI 3. Jurnal Fisika Sains dan Aplikasinya. 3(2) : 117-124. \nFatoni, ahmad, dkk. 2015. Rancang Bangun Alat Pembelajaran Mikrocontroller Berbasis Atmega328 di Universitas Serang Raya. Jurnal Prosisko. 2(1): 2406-7733. \nFiyanti, Ari, Warsito dan Sri Wahyu Suciyati. 2017. Sistem Otomatisasi Kincir Air Untuk Respirasi Udang Tambak Menggunakan Sensor Dissplved Oxygen (DO). Jurnal Teori dan Aplikasi Fisika. 5(2) : 155-160. Doi : http://dx.doi.org/10.23960%2Fjtaf.v5i2.1811 \nGeorge R. Terry. 2000. Prinsip-Prinsip Manajemen. (edisi bahasa Indonesia). Bandung: PT.Bumi Aksara. \nH. Kordi K, M. Ghufran. 2010. Budi Daya Udang Laut. Yogyakarta : ANDI.Mukhofidhoh, dan Kholis, Nur. 2018. Rancang Bangun Mesin Pengeboran PCB Mini Otomatis Berbasis Arduino UNO. Jurnal Teknik Elektro. 7(1): 9-16. \nNur, Iswahyudi. 2017. Pengendali Sirkulasi dan Pengukuran pH Air Pada Tambak Udang Berbasis Arduino. (Skripsi, 2019, Agustus 27). Diunduh dari http://repositori.uin-alauddin.ac.id \n48 Pakan Perikanan. 2019, Mei 19. Dalam Wikipedia. Diunduh dari: http://id.wikipedia.org/wiki/Pakan_perikanan. \nPengertian pH Air. 2019, September 1. Dalam Wikipedia. Diunduh dari https://id.wikipedia.org/wiki/PH. \nRachmatun suyanto, Dra. S, Enny Purbani Takarini, Msi. Ir. 2009. Panduan Budidaya Udang Windu. Jakarta : Penebar Swadaya.Sadi, Sumardi. 2015. Rancang Bangun Sistem Eskalator Otomatis Menggunakan Sensor Photodioda dan Infrared (IR) Berbasis Mikrokontroler Atmega32. \nJurnal Dinamika UMT. 1(1): 71-90. Doi: http//dx.doi.org/10.31000/dinamika.v1i1.511. \nSahrijanna, andi dan Septiningsih, early. 2017. Variasi Waktu Kualitas Pada Tambak Budidaya Udang Dengan Teknologi Integrated Multitropic Aquaculture (IMTA) di Mamuju Sulawesi Uutara. Jurnal Ilmu Alam dan Lingkungan. 8(16): 52-57. \nSaidul. 2014. Pengontrolan pH Air Secara Otomatis. Skripsi. Bandung: Sinar Baru Algensindo. Salmin. 2000. Kadar Oksigen Terlarut di Perairan Sungai Dadap, Goba, Muara. \nSanjaya, Mada. 2011. Modul praktikum Elektronika dasar 1. UIN Sunan Gunung Djati Bandung.Sugianto. 2007. Desain Rangkaian Elektronika dan Layout PCB dengan Protel 99 \nSE. Jakarta: PT Elex Media Komputindo.Sutrisno, Fadly. http://fadlysutrisno.wordpress.com/2010/07/17/budidaya�tambak/, diakses pada tanggal 17 September 2019, pukul 12.00 WIB. Suyadhi, Taufiq Dwi Septian. 2010. “Buku Pintar Robotika.” Yogyakarta: Penerbit Andi.Terry R. 2014. Dasa -Dasar Pengendalian Tambak Undang. Bandung : Pustaka \nSetia, 2000. Universitas Islam Negeri Alauddin Makassar. PEDOMAN PENULISAN KARYA ILMIAH: Makalah, Skripsi, Disertasi dan Laporan Penelitian. Makassar: UIN Alauddin. \nTim Mitra Agro Sejati. 2017. Budidaya Udang Windu. Begawan: CV Pustaka Begawan.Trisha. 2019, Oktober 15. Sirkulasi Air Tambak. Diunduh dari: \nhttps://duniakumu.com/sirkulasi-air-tambak/.49 \nWetzel, R G. 1983. Limnology Second Edition Saunders College Publishing. Toronto, Canada. \nWibisono, L. 2009. Perancangan Sistem Kuisisi Data Sensor pH Berbasis Lapisan Silica Sol-Gel. Surabaya : ITS-press. \nWisjhnuadji, T.W, Irfan Fauzi.2017. Monitoring Ketinggian dan Suhu Air Dalam Tangki Berbasis Web Menggunakan Arduino Uno & Ethernet Shied. Jurnal sistem komputer. 14(1) : 39-44. Diunduh dari http://journal.budiluhur.ac.id.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.146 | 0.069 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".