Judul: Korelasi Kualitas Air terhadap Kinerja Produksi dan Analisis Komponen Utama Produktivitas Udang Vaname (Litopenaeus vannamei) di PT Surya Windu Kartika
Abstrak: Udang vaname adalah komoditas unggulan dalam industri perikanan Indonesia. Budidaya udang vaname yang prospektif tidak luput dari permasalahan yang dapat menurunkan hasil produksi. Kualitas air yang menurun dapat mengakibatkan kematian. Penelitian bertujuan menganalisis korelasi kualitas air serta komponen utama pada budidaya udang vaname unit Badean PT SWK, Banyuwangi, Jawa Timur. Penelitian dilakukan menggunakan 5 kolam dengan padat tebar 96–102 ekor/m2 . Kualitas air yang diamati diantaranya pH, salinitas, suhu, kecerahan, oksigen terlarut, total plankton, NH4, NO2, NO3, PO4, alkalinitas, TOM, total yellow vibrio, total green vibrio, dan total vibrio count. Kualitas air di uji korelasi dengan kinerja produksi dan uji PCA terhadap produktivitas. SR berhubungan negatif signifikan dengan suhu siang, NO2, dan alkalinitas. FCR berhubungan signifikan positif dengan pH pagi, suhu pagi, suhu siang, dan alkalinitas. Sedangkan kecerahan pagi, kecerahan siang, DO malam berhubungan negatif terhadap FCR. Tidak ada kualitas air yang berhubungan kuat dan signifikan dengan ADG. Kualitas air yang terukur masih berada pada kisaran optimal, namun terdapat beberapa parameter yang memiliki kisaran yang berfluktuasi. Hasil PCA menunjukkan 4 PC. Komponen utama pada PC1 ada DO malam (positif), PC2 komponen utamanya TGV (positif), PC3 komponen utamanya ADG (positif), komponen utama pada PC4 adalah NO3 (positif)., Vannamei shrimp is a leading commodity in the Indonesian fishing industry. Prospective vaname shrimp cultivation is not free from problems that can reduce production yields. Decreased water quality can lead to death. This study aims to analyze the correlation of water quality and the main components in the cultivation of vaname shrimp at the Badean unit of PT SWK, Banyuwangi, East Java. The study was conducted using 5 ponds with a stocking density of 96–102 fish/m2. The observed water quality included pH, salinity, temperature, brightness, dissolved oxygen, total plankton, NH4, NO2, NO3, PO4, alkalinity, TOM, total yellow vibrio, total green vibrio, and total vibrio count. Water quality was tested for correlation with production performance and PCA test on productivity. SR was significantly negatively related to daytime temperature, NO2, and alkalinity. FCR was significantly positively related to morning pH, morning temperature, afternoon temperature, and alkalinity. Meanwhile, morning brightness, afternoon brightness, and night DO are negatively related to FCR. There is no water quality that is strongly and significantly associated with ADG. The measured water quality is still in the optimal range, but there are some parameters that have fluctuating ranges. PCA results show 4 PCs. The main components in PC1 is night DO (positive), PC2 isthe main component TGV (positive), PC3 is the main component is ADG (positive), the main component in PC4 is NO3 (positive).
Keyword: correlation, water quality, white shrimp

Judul: Korelasi Kualitas Air Terhadap Kinerja Produksi Udang Vaname di PT Surya Windu Kartika, Banyuwangi, Jawa Timur
Abstrak: Udang vaname (Litopenaeus vannamei) merupakan salah satu komoditas unggulan yang banyak dibudidayakan. Penelitian ini bertujuan untuk menganalisis korelasi antara kualitas air terhadap kinerja produksi udang vaname secara deskriptif. Penelitian dilakukan dengan menggunakan 5 petak dengan padat tebar 116-130 ekor m-2. Metode yang digunakan pada penelitian ini adalah analisis principal component analysis (PCA) dan uji korelasi. Hasil uji korelasi yang diperoleh yaitu survival rate (SR) berkorelasi kuat hingga sangat kuat dengan kecerahan pagi, salinitas, suhu pagi dan siang, nitrat (NO3), fosfat (PO4), total organic matter (TOM), total vibrio count (TVC), dan total green vibrio (TGV). Average daily growth (ADG) berkorelasi kuat hingga sangat kuat dengan kecerahan dan pH pagi, salinitas, dissolved oxygen (DO) siang dan malam, amonium (NH4), nitrit (NO2), nitrat, TOM, TVC, total bacteria count (TBC), total yellow vibrio (TYV), dan TGV. Feed conversion ratio (FCR) berkorelasi kuat dengan kecerahan pagi dan siang, pH pagi, salinitas, suhu pagi dan siang, DO siang dan malam, nitrat, TOM, alkalinitas total, TVC, TBC, TYV, dan TGV. Hasil korelasi tersebut menunjukkan bahwa setiap peningkatan maupun penurunan kadar parameter kualitas air mempengaruhi SR, ADG, dan FCR., Vaname shrimp (Litopenaeus vannamei) is one of the leading commodities that are widely cultivated. This study aims to analyze the correlation between water quality and vaname shrimp production performance descriptively. The research was conducted using 5 plots with a stocking density of 116-130 shrimp m-2. The method used in this research is principal component analysis (PCA) and correlation test. The correlation test results obtained were survival rate (SR) correlated strongly to very strongly with morning brightness, salinity, morning and afternoon temperatures, nitrate (NO3), phosphate (PO4), total organic matter (TOM), total vibrio count (TVC), and total green vibrio (TGV). Average daily growth (ADG) was strongly to very strongly correlated with morning brightness and pH, salinity, day and night dissolved oxygen (DO), ammonium (NH4), nitrite (NO2), nitrate, TOM, TVC, total bacteria count (TBC), total yellow vibrio (TYV), and TGV. Feed conversion ratio (FCR) was strongly correlated with morning and afternoon brightness, morning pH, salinity, morning and afternoon temperature, afternoon and evening DO, nitrate, TOM, total alkalinity, TVC, TBC, TYV, and TGV. The correlation results showed that each increase or decrease in water quality parameter levels affected SR, ADG, and FCR.
Keyword: correlation, cultivation, production performance, vannamei shrimp, water quality

Judul: Konstruksi Hukum Grup Kurva Eliptik Atas F3m
Abstrak: Elliptic curves upon F3m can be divided in two cases, i.e. supersingular and nonsupersingular case. Based on group laws on elliptic curves, a new arithmetic upon F3m can be formulated as an addition process of two random points on the curve. This addition process can then be applied to the ElGamal algorithm.
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