Judul: Physiological Response of tinfoil barb (Barbonymus schwanenfeldii Bleeker, 1854) to pH Variability
Abstrak: Permasalahan dalam domestikasi ikan tengadak (B. schwanenfeldii) selama ini adalah pertumbuhan benih yang rendah diduga akibat kondisi lingkungan yang tidak optimal. Salah satu faktor lingkungan yang mempengaruhi kelangsungan hidup benih ikan ini adalah kondisi pH pada media pemeliharaan, dimana pH yang optimum akan berdampak positif bagi sistem fisiologi, kelangsungan hidup, dan pertumbuhan dengan kisaran 7-8 untuk ikan. Penelitian ini bertujuan untuk menentukan pengaruh perbedaan pH terhadap kondisi fisiologis benih ikan tengadak sehingga diperoleh nilai pH optimum bagi pertumbuhan benihnya. Penelitian ini dilakukan pada bulai Juni hingga Oktober 2021 dengan menggunakan rancangan acak lengkap (RAL) dengan perlakuan pH 5, 6, 7, dan 8 dengan pengulangan sebanyak tiga kali dengan parameter uji berupa pertumbuhan, kelangsungan hidup, kualitas air, dan parameter fisiologis. Hasil penelitian menunjukkan pada pH 5 dan 8 benih ikan tengadak mengalami pertumbuhan dan sintasan yang lebih rendah. Kadar glukosa dan kortisol menunjukkan pada pH 8 ikan mengalami stres dengan kadar 75,33 ± 25,50 mg/dL dan 55,48 ± 13,04 ng/mL. Kisaran pH terbaik yang dapat mendukung proses fisiologis dan pertumbuhan benih ikan tengadak adalah 6-7. Kata kunci: fisiologi, pertumbuhan, pH, sintasan, ikan tengadak, A great challenge in domesticating the tinfoil barb (B. schwanenfeldii) may be addressed to the slow growth of the tinfoil barb or fingerling linked with inoptimum environmental conditions. One of the environmental factors that affect the survival of this fish fry is the pH condition of the rearing media, the optimum pH will have a positive impact on the physiological system, survival, and growth with a range of 7-8 for fish. This study aims to determine the effect of differences in pH on the physiological conditions of the fish fry in order to obtain the optimum pH value for the growth of the fry. This research was conducted from June to October 2021 using a completely randomized design (CRD) with pH 5, 6, 7, and 8 treatments with three repetitions with test parameters in the form of growth, survival, water quality, and physiological parameters. The result of the research showed that at pH 5 and 8, the fry of scallops had lower growth and survival rates. Glucose and cortisol levels showed that at pH 8, the fish stressed with levels of 75.33 ± 25.50 mg/dL and 55.48 ± 13.04 ng/mL. The best pH range that can support the physiological processes and growth of tinfoil barb fry is 6-7. Keywords: physiology, growth, pH, survival, tinfoil barb
Keyword: fisiologi, pertumbuhan, pH, ikan tengadak, sintasan

Judul: Optimasi Salinitas untuk Kelangsungan Hidup dan Pertumbuhan Benih Ikan Tengadak Barbonymus schwanenfeldii
Abstrak: Environmental manipulation techniques are required to increase survival rate and growth of fishes, salinity manipulation is one of them. Salinity directly affects the living organisms life especially in survival rate and growth rate because it is strongly related with their osmoregulation process. The purpose of this research was to determine the optimum salinity for survival rate, growth, and economic profit for nursery activities of tinfoil barb (Barbonymus schwanenfeldii). This research consisted of four treatments of media salinity: 0 ppt (A), 2 ppt (B), 4 ppt (C), and 6 ppt (D). The rearing of tinfoil barb in different salinities showed significant effects on survival rate. Different salinity treatments also showed significant difference on specific growth rate of tinfoil barb.The optimum salinity for tinfoil barb was 4 ppt showed by the highest survival rate at 90%, highest specific growth rate at 1,65%, and highest profit achieved for nursery activities at Rp 139.002 with R/C ratio at 1,12.
Keyword: salinity., specific growth rate, survival rate, tinfoil barb

Judul: Implementasi Support Vector Machine (SVM) Untuk Klasifikasi Dokumen
Abstrak: Document classification is the process of grouping documents into specific categories that have been defined previously. In the real world, the distribution of the data is generally non-linear, which means the distribution of the data did not separate properly. Therefore we need a method that can classify documents that are non-linear. Support vector machine can classify documents that are non-linear with increasing dimension of the distribution of documents using kernel trick. This study will use a linear kernel for the classification of text documents. Results greatest accuracy in this study was 76% of 150 test documents with epsilon value 0.01. Factors affecting the results of the classification of which is the value of epsilon and length of test documents.
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