Judul: Pengaruh penutupan buah terhadap kualitas buah melon [Cucumis melo L.] hidroponik
Abstrak: Percobaan ini dilaksanakan untuk mengetaliui pengardl penutupan buah terl~adap kualitas buah melon (Cucumis melo L.) yang dibudidayakm secara hidroponik. Percobaan ini dilaksanakan di Rumah Kaca Univercity Farm IPB, Unit Lapangan Cikabayan Dermaga Bogor mulai bulan Februasi 2009 sampai dengall Mei 2009. Percobaan menggunakan Rancangan Keloinpok Lengkap Teracak dengan satu faktor yaitu penutupan buah. Percobaan terdiri dari 7 taraf perlakuan yaitu kontrol (tanpa penutupan), penutupan buah penuh saat 2 minggu setelah terbentuk buah (10 MST), penutupan buah penuh saat 3 minggu setelah terbentuk buah (1 1 MST), penutupan bualz tidak penuh saat 2 minggu setelah terbentuk buah (10 MST), penutupan buah tidak penuh saat 3 minggu setelah terbentuk buah (1 1 MST), pemberian stiker (pelogoan) IPB pada kulit buah saat 2 minggu setelah terbentuk buah (10 MST), pemberian stiker (pelogoan) IPB pada kulit buah saat 3 minggu setelah terbentuk bualz (1 1 MST). Tiap perlakuan terdiri dari empat ulangan sel~inggate rdapat 28 satuan percobaan. Setiap satuan percobaan terdiri dari empat tanaman.
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Judul: Pengaruh Manipulasi Bentuk Buah Terhadap Kualitas Buah Melon (Cucumis melo L.) Hidroponik
Abstrak: The objective of this research was to study the effect of fruit shape manipulation on fruit quality of hydroponic melon. Different physical appearance it will raise the price of melon fruit. This study was conducted at Cikabayan (green house unit –University Farm of IPB) from July to October 2010. The research was arranged in randomized Completely Block Design with 4 replications. Five different box treatments: (P1) Box A with 7 days after anthesis (DAA) application, (P2)Box A with 14 DAA, (P3)Box B with 7 DAA, (P4)Box B with 14DAA, (P0) Control (not uses box). The result of this study show fruit shape manipulation is significantly different result to fruit quality factor (fruit peel firmness, flesh firmness and fruit peel thickness). Box treatment application in 7 days after anthesis (DAA) is recommended because of the fruits have better square shape (physical appearance), firmness and peel thickness.
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Judul: Sistem Pengklasifikasian Entitas pada Pesan Twitter Menggunakan Ekspresi Regular dan Naïve Bayes
Abstrak: The widespread use of social networks like Twitter encourages some institutions to find out the entities that are discussed and the sentiment toward the entities. This research aims to build a system that can extract entities in tweets and classify the sentiment from the tweets. Entity extraction process is done using regular expressions. Writing regular expressions can capture the diverse entities. Sentiment classification is performed using naïve Bayes classification with Multinomial and Bernoulli models. Sentiment in this research consists of three classes, namely positive, negative, and neutral. Before entering the classification, tweets are normalized by replacing the non-standard words with the standard ones. The test results show that regular expression is quite effective for the entity extraction process. As for the results of the classification, naïve Bayes method produces high accuracy (96.75% for Multinomial and 96.33% for Bernoulli). However, the accuracy obtained depends on the neutral class which amounts to 97.88% for Multinomial and 99.95% for Bernoulli, while the positive class are 85.66% and 33.13% and negative class are 33.67% and 0%.
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