Judul: Pemberian Pakan Campuran pada Larva Ikan Patin
Abstrak: Artemia as live feed of stripped catfish larvae has a high price and tend to increase in time. The objective of this research is to find out the most optimum combination of artemia and compound feeding for stripped catfish larva survival and growth. Five thousand catfish larvae were stocked in glass aquarium with the size 90x40x40 cm3 and 50 larvae in glass aquarium 20x10x15 cm3. Combination feeding experiment consisted of 77.19 g artemia as a control; 77.19 g of artemia and 27 mL of compound feed (treatment I); 57.89 g of artemia and 33.75 mL of compound feed (treatment II); and 38.59 g of artemia and 40.5 mL of compound feed (treatment III). Survival rate of larvae on day 3th was 71.67%; 60.00%; 65.00%; and 31.25% respectively. While larva survival on 18 days was 50.27%; 34.50%; 53.33%; and 31.23% respectively. During the three days of experiment on survival, treatment III showed significanly lower survival. Absolute larvae length on 3 days experiment was 0.69 cm; 0.70 cm; 0.64 cm; and 0.59 cm respectively. Absolute larvae length the treatment was not significanly diffirent from each other, except for treatment III. Absolute larvae length in 18 days experiment was 1.52 cm; 1.40 cm; 1.51 cm; and 1.42 cm respectively. Combination of artemia and compound feed had an effect on survival rate. Compound feed could not totally replace artemia as a live feed, however it can be used as a complement feed.
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Judul: Pengaruh Pemberian Artenzia Sp. Yang Diperkaya Dengan Minyak Kelapa, Minyak Jagung Dan Minyak Ikan Terhadap Volume Otak, Pertumbuhan Dan Kelangsungan Hidup Larva Ikan Patin (Pangasius hypophthalmus)
Abstrak: Penelitian ini dilakukan untuk mengetahui pengaruh pengkayaan Artemia sp. yang diperkaya dengan minyak kelapa, minyak jagung, dan minyak ikan terhadap volume otak, pertumbuhan, dan kelangsungan hidup larva ikan patin (Pangasius hypophthalmus). Waktu pelaksanaan penelitian pada bulan Oktober 2001 sampai bulan April 2002 bertempat di Laboratorium Nutrisi Ikan dan Laboratorium Kesehatan Ikan Jurusan Budidaya Perairan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor. Larva ikan patin berumur tiga hari yang berukuran rata - rata 6 mm dan bobot 1.5 mg dipelihara dalam stoples kaca dengan media air sebanyak 2 L per stoples. Jumlah larva per liter sebanyak 15 ekor. Stoples kemudian ditempatkan dalam akuarium kaca berukuran 100 x 50 x 40 cm yang diisi air setinggi 20 cm. Penyediaan oksigen dengan aerasi kontinyu dan agar suhu tetap terjaga maka digunakan pula thermosiat. Suhu terjaga pada 28' C. Pakan berupa nauplius Artenzia sp. yang sebelumnya telah diperkaya masing - masing dengan minyak ikan, minyak kelapa dan minyak jagung diberikan setiap empat jam yaitu pada pukul 06.00, 10.00, 14.00, 18.00, 22.00, dan 02.00. Penyimpanan dilakukan dua kali tiap hari sebanyak 25 % volume air dalam stoples. Rancangan percobaan yang digunakan adalah rancangan acak lengkap dengan tiga perlakuan dan empat ulangan. Perlakuan pertama adalah larva ikan patin yang diberi nauplius Artemia sp. yang telah diperkaya dengan minyak kelapa. Perlakuan kedua adalah larva ikan patin yang mendapatkan nauplius Artemia sp. yang telah diperkaya dengan minyak jagung. Sedang perlakuan ketiga adalah larva ikan patin yang mendapat nauplius Artemia sp. yang telah diperkaya dengan minyak ikan.
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Judul: Aplikasi Mobile untuk Identifikasi Emosi Manusia Berbasis Teks pada Jejaring Sosial Twitter dengan Klasifikasi Decision Tree
Abstrak: Humans are social beings that need to communicate with others. Humans in communication often reveal emotions either directly or indirectly. Awareness of people’s emotions when communicating is one of the reasons of emotion recognition. Emotion recognitions divided into 3 categories, namely physiological signals, facial expressions, and voice. However the existing method has limitations in use or cost. A potential solution is affective computing, which can recognize emotion through typing patterns by collecting and analyzing user behavior and context from touchscreen, accelerometer, and GPS on the smartphone. This method was implemented as an Android app on Twitter social networking service. This research used decision tree classification method to identify 7 types of emotions i.e. happiness, surprise, anger, disgust, sadness, fear, and neutral by using 10 features. The data used in this study consisted 300 datasets. The highest accuracy in the research produced 44%.
Keyword: emotion recognition, decision tree, affective computing