DOI of the published article https://journals.penerbitjurnal.com/index.php/teknik/issue/view/10
Lobster Prediction as Quality Standard for Ready-to-Sell Using the Mamdani Fuzzy Logic Method
Prediksi Lobster Sebagai Standart Kualitas Siap Jual Menggunakan Metode Logika Fuzzy Mamdani
DOI:
https://doi.org/10.21070/ups.672Keywords:
Fuzzy Logic, Freshwater lobsterAbstract
Freshwater crayfish is one of the consumer shrimp products. Little is known to the general public at this time that crayfish are also a type of ornamental shrimp. However, many people are more familiar with edible crayfish than ornamental crayfish, but many sellers in the market sell them with poor or substandard quality, ranging from size to weight. Therefore we need an accurate system to determine quality by using fuzzy logic. This research is included in the field observation research, the researcher immediately came to the location to observe and ask questions directly that had been prepared by the researcher beforehand. The results in this study that the system can categorize the quality of shrimp properly. Fuzzy algorithms can categorize the size, age and weight of lobsters and can be converted
into quality categories.
Downloads
References
Badan Pusat Statistik. (2020). Statistik Indonesia 2020. Badan Pusat Statistik.
Junaidi, M. (2019). Budidaya Lobster Di Perairan Pulau Lombok.
Junaidi, M., Cokrowati, N., Diniarti, N., & Mulyani, L. F. (2022). Pelatihan BudidayaPendederan Lobster dengan Pemberian Pakan Moist di Desa Ekas Buana Kecamatan Jerowaru Kabupaten
Lombok Timur.
Jurnal Pengabdian Magister Pendidikan IPA, 4(3), 86–91. https://doi.org/10.29303/jpmpi.v4i3.1989
Khoiroh, S. M. (2022). MODIFIED FMEA DALAM MANAJEMEN RISIKO RANTAI
PASOK INDUSTRI BUDIDAYA LOBSTER. 17(1), 85–96.
Kurniati, N. I., Akbar, R. R. El, & Wijaksono, P. (2019). Penerapan Metode Fuzzy Tsukamoto
Pada Sistem Pakar untuk Mendiagnosa Autisme Pada Anak. Innovation in Research of Informatics
(INNOVATICS), 1(1), 21–27. https://doi.org/10.37058/innovatics.v1i1.676
Lekatompessy, H. S., & DANGRETHA. (2019). INVENTARISASI JENIS-JENIS
LOBSTER AIR TAWAR (Cherax sp.) DI DANAU TIGI KAMPUNG WIDIMEI KABUPATEN DEIYAI
THE SPECIES INVENTARIZATION OF FRESH WATER LOSTER (Cherax sp) IN TIGI LAKE OF
WIDIMEI VILLAGE, DEIYAI REGENCY. 1(1), 1–9.
Mirda, I., Pratomo, B. W., & Ulvan, A. (2022). Implementasi Budidaya Lobster dengan
Sistem Pertanian Akuaponik Berbasis IoT (Internet of Things). E-JOINT (Electronica and …, 03(1), 23–28.
Mustamiin, M., & Putra, W. P. (n.d.). Penerapan Mikro Kontrol Untuk Peningkatan Budidaya
Lobster Air Tawar. 5(08), 169–176.
Nasution, V. M., & Prakarsa, G. (2020). Optimasi Produksi Barang Menggunakan Logika
Fuzzy Metode Mamdani. Jurnal Media Informatika Budidarma, 4(1), 129.
https://doi.org/10.30865/mib.v4i1.1719
Nurhayati, S., & Immanudin, I. (2019). Penerapan Logika Fuzzy Mamdani Untuk Prediksi
Pengadaan Peralatan Rumah Tangga Rumah Sakit. Komputika : Jurnal Sistem Komputer, 8(2), 81–
https://doi.org/10.34010/komputika.v8i2.2254
Perikanan, F., & Universitas, K. (2020). Jurnal Sains Akuakultur Tropis D e p a r t e m e n A
k u a k u l t u r. 4, 19–30.
Riyadin. (2019). Pengaruh Kualitas Pelayanan Terhadap Kepuasan Masyarakat Keluarga
Berencana Di Kecamatan Pekalongan Kabupaten Lampung. Journal of Chemical Information and Modeling,
(9), 1689–1699.
Rizky, R., Hidayat, T., Hardianto, A., & Hakim, Z. (2020). Penerapa Metode Fuzzy Sugeno
Untuk pengukuran Keakuratan Jarak Pada Pintu Otomatis di CV Bejo Perkasa. Jurnal Teknik Informatika
UNIKA Santo Thomas, 05, 33–42.
Sarma, R., & Saragih, H. (2022). Analisis Kelayakan Usaha Budidaya Lobster Air Tawar
( Cherax quadricarinatus ) di Wampu Crayfish Desa Stabat Lama Barat. 2, 198–204.
Sovina, M., & Harahap, F. A. (2022). Penentuan Status Gizi Dengan Indeks Massa Tubuh
(IMT) Menggunakan Logika Fuzzy. Agustus, 7(1), 105–116.
Wantoro, A., Informasi, P. S., Kemahasiswaan, K., & Terbaik, P. S. (2018). KOMPARASI
METODE PERHITUNGAN KLASIK DENGAN LOGIKA FUZZY ( MAMDANI DAN SUGENO ) PADA
PERHITUNGAN. 15(1), 42–50
Downloads
Additional Files
Posted
License
Copyright (c) 2023 UMSIDA Preprints Server
This work is licensed under a Creative Commons Attribution 4.0 International License.
