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: Evaluation of Feeding Completer Wafers Containing Lamtoro Leaves-Cassava Leaves to Sheep
Abstrak: Legum dan limbah pertanian merupakan bahan yang dapat digunakan sebagai pengganti hijauan. Contoh leguminosa adalah daun lamtoro dan contoh limbah pertanian adalah daun singkong. Penelitian ini bertujuan untuk mengevaluasi kualitas pakan wafer yang mengandung lamtoro levaes-daun singkong dengan pemberian wafer dengan persentase yang berbeda. Penelitian ini menggunakan 5 perlakuan dengan 4 ulangan. Perlakuan yang diberikan adalah P0 = pakan konvensional (hijauan), P1 = pakan konvensional + 25% pakan wafer, P2 = pakan konvensional + 50% pakan wafer, P3 = pakan konvensional + 75% pakan wafer, P4 = 100% pakan wafer. Data dianalisis menggunakan ANOVA dan uji Duncan. Berdasarkan kualitas fisik yang dilihat dari kadar air, aktivitas air, densitas, dan daya tahan pakan wafer memiliki kualitas yang lebih baik. Kondisi fisiologis pada penelitian ini normal dilihat dari parameter suhu rektal, denyut jantung, dan pernapasan. Hasil percobaan menunjukkan bahwa perlakuan pakan berpengaruh terhadap (P<0,05) konsumsi pakan, pertambahan bobot badan, dan efisiensi pakan. Hasil penelitian menunjukkan bahwa pemberian pakan wafer akan meningkatkan konsumsi zat gizi BK, PK, SK, LK pakan domba. Pertambahan bobot badan terbaik pada pemberian pakan wafer dinyatakan oleh P3 dengan nilai 105,80 g ekor-1 hari-1. Hasil efisiensi pakan terbaik dari penelitian ini adalah P2 dengan nilai 7,40 % dan IOFC hasil terbaik adalah P4 dengan nilai Rp. 395.583, Legumes and agricultural waste are materials that can be used as substitutes for forage. An example of leguminosae is lamtoro leaves and an example of agricultural waste is cassava leaves. This study aimed to evaluate the quality of wafer feed containding lamtoro levaes-cassava leaves by feeding wafers with different percentages. This research used 5 treatments with 4 replications. The treatments given were P0 = conventional feed (forage), P1 = conventional feed + 25% wafer feed, P2 = conventional feed + 50% wafer feed, P3 = conventional feed + 75% wafer feed, P4 = 100% wafer feed. Data were analyzed using ANOVA and Duncan's test. Based on the physical quality as seen from the water content, water activity, density, and durability the wafer feed has better quality. The physiological condition on this research was normal as seen from the parameters of rectal temperature, heart rate, and respiration. The result of this experiment showed that feed treatments affected (P<0.05) consumption feed, body wight gain, and feed efficiency. The results of this research indicate that the giving of wafer feed will increase the consumption nutrient DM, CP, CF, EE of sheep feed. The best result of body wight gain that feeding wafers is trated by P3 with value of 105,80 g head-1 day-1 . The best result of feed efficiency from this research is P2 with value 7,40 % and best result IOFC is P4 with value Rp. 395.583.
Keyword: feed wafers, nutrient quality, physical quality, sheep performance

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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