Judul: Physical Quality and Acceptability of Dried Kale Wafers in Goats with Different Heating Duration and Thickness
Abstrak: Salah satu hasil samping pertanian yang dapat dijadikan alternatif hijauan untuk pakan ternak yaitu hasil samping kangkung biji atau dikenal dengan kangkung kering (Ipomoea reptans Poir.). Penelitian bertujuan menganalisis kualitas fisik dan akseptabilitas wafer kangkung kering pada ternak kambing dengan lama pemanasan dan ketebalan berbeda. Peubah yang diukur yaitu kadar air, aktivitas air, wafer durability indeks, pola tingkah laku dan waktu makan, serta akseptabilitas. Percobaan menggunakan rancangan acak lengkap (RAL) faktorial dengan faktor 1 yaitu lama pemanasan 3, 5, dan 7 menit dan faktor 2 yaitu ketebalan 2 dan 3 cm dengan 3 ulangan. Data kualitas fisik dan akseptabilitas wafer terhadap ternak kambing dianalisis menggunakan analisis varian (ANOVA) dan uji jarak berganda Duncan. Wafer dengan kualitas fisik dan akseptabilitas terbaik dilakukan uji pola tingkah laku dan waktu makan serta akseptabilitas dengan perlakuan kangkung kering (P0) dan wafer kangkung kering (P1) menggunakan analisis t-test. Kualitas fisik wafer kangkung kering lama pemanasan 3, 5, 7 menit dan ketebalan 2 dan 3 cm telah memenuhi standar KA, Aw, dan WDI. Nilai akseptabilitas wafer kangkung kering dapat diterima sebanyak 99% oleh ternak kambing. Pakan berupa kangkung kering dalam bentuk wafer memiliki akseptabilitas lebih tinggi dibandingkan tidak dibuat wafer., One of the Agricultural by products that could be used as an alternative forage for animal feed is kale seeds or known as dried kale (Ipomoea reptans Poir.). This study aimed to analyze the physical quality and acceptability of dried kale wafers in goats with different heating duration and thickness. The variables measured were moisture content, water activity, wafer durability index, behavior pattern and eating time, and acceptability. The experiment used a factorial complete randomized design (CRD) with factor 1 being heating duration of 3, 5, and 7 minutes and factor 2 being thickness of 2 and 3 cm with 3 replications. Data on physical quality and acceptability of wafers to goats were analyzed using analysis of variance (ANOVA) and Duncan's multiple range test. Wafers with the best physical quality and acceptability were tested for behavioral patterns and eating time as well as acceptability with dried kale treatment (P0) and dried kale wafers (P1) using t-test analysis. The physical quality of dried kale wafers with heating duration of 3, 5, 7 minutes and thickness of 2 and 3 cm had met the standards of KA, Aw, and WDI. Acceptability value of dried kale wafers could be accepted as much as 99% by goats. Feed in dried kale in the form of wafers had higher acceptability than not made wafers.
Keyword: acceptability, dried kale, goats, physical quality, wafers

Judul: Physical and Chemical Quality of Complete Feed  Wafers Containing Peanut Shells at Different Heating Times
Abstrak: Kulit kacang tanah merupakan salah satu limbah agroindustri yang berpotensi sebagai bahan pakan alternatif untuk memenuhi kebutuhan pakan ternak, namun bersifat voluminous dan berdebu. Pembuatan wafer dapat diterapkan untuk mengurangi sifat voluminous dan berdebu dari kulit kacang tanah. Penelitian ini bertujuan menguji pengaruh lama pemanasan yang berbeda terhadap kualitas fisik dan kimia wafer mengandung kulit kacang tanah sebagai pakan kelinci. Parameter yang diuji pada penelitian ini yaitu kadar air, aktivitas air, berat jenis, WDI, ketahanan benturan serta akseptabilitas kelinci terhadap wafer. Pengujian kualitas fisik menunjukkan hasil yang berbeda nyata (P<0,05) pada parameter kadar air dan aktivitas air. Parameter berat jenis, WDI dan ketahanan benturan dan akseptabilitas kelinci terhadap wafer menunjukkan hasil yang tidak berbeda nyata (P>0,05). Nilai parameter kadar air, aktivitas air, berat jenis dan WDI pada semua perlakuan memenuhi standar yang digunakan. Dapat disimpulkan bahwa penggunaan lama pemanasan yang berbeda menghasilkan wafer dengan kualitas fisik dan akseptabilitas yang sama pada kelinci., Peanut shells, one of agroindustrial waste has potential as an alternative feed ingredient to meet the demand for animal feed, but they have dusty and voluminous material properties. This research examines the effect of different heating on the physical and chemical quality of wafers products as rabbits feed. Parameters tested in this research were moisture content, water activity, specific gravity, WDI, impact resistance, and acceptability in rabbits. The physical quality tasting showed significant results (P<0.05) on parameters of water content and water activity. Specific gravity, WDI, impact resistance, and acceptability parameters showed insignificant results (P>0.05). The parameters of water content, water activity, specific gravity, impact resistance, and WDI in all treatments met the standards used. It can be concluded that using different heating times produces wafers with the same physical quality and acceptability in rabbits.
Keyword: : acceptability, agroindustrial waste, complete feed wafer, physical quality, rabbit

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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