Judul: Digestive Organs, Total leukocytes, and Spleen Laying Period of Quail with BSF Maggot in Feed
Abstrak: Kualitas dan kuantitas pakan puyuh periode bertelur menjadi salah satu faktor penting yang harus diperhatikan untuk memaksimalkan produksi telur. Sumber protein pakan puyuh memiliki harga yang relatif mahal sehingga diperlukan sumber protein alternatif yang lebih murah seperti maggot. Akan tetapi belum diketahui dampak dari pemberian maggot BSF sebagai pakan terhadap organ pencernaan dan ketahanan tubuh puyuh periode bertelur. Penelitian ini bertujuan menganalisis ukuran organ pencernaan, limpa, dan total leukosit puyuh periode bertelur dengan pemberian maggot BSF dalam pakan. Penelitian ini menggunakan metode Uji-T dengan 2 perlakuan dan 5 ulangan untuk setiap perlakuan. Peubah yang diamati berupa persentase bobot dan panjang relatif organ pencernaan, persentase bobot limpa, serta total leukosit. Hasil penelitian menunjukkan ukuran organ pencernaan dan ketahanan tubuh pada puyuh periode bertelur yang diberi maggot BSF dan MBM tidak berbeda nyata (P<0,05) terhadap persentase bobot, panjang relatif pada organ pencernaan dan limpa serta total leukosit. Penggunaan maggot BSF dengan dosis 12% dalam pakan sebagai sumber protein utama tidak berdampak negatif terhadap kondisi organ pencernaan dan ketahanan tubuh., Quail is one type of poultry that has great potential in Indonesia. Feed is a very important factor that quail can produce eggs maximally. However, feed protein sources are expensive, so an alternative protein source needed is BSF maggots. The study aims to analyze the size of the digestive organs, spleen and total leukocytes of quail at the laying period that given BSF maggots in the feed. The parameters observed were the percentage of weight and relative length of the digestive organs, the percentage of spleen weight, and total leukocytes. This research used the T-test method with 2 treatments and 5 repetitions for each treatment. The variables observed were the percentage of weight and relative length of the digestive organs, the percentage of spleen weight, and total leukocytes. The results of the study showed that the size of the digestive organs and immunity organ of quail in the laying period given BSF maggots and MBM were not significantly different (P<0.05) in weight percentage, relative length of the digestive organs and spleen and total leukocytes. The use of BSF maggots at a dose of 12% in feed as the main protein source does not have a negative impact on the condition of the digestive organs and immunity organ.
Keyword: BSF maggot, digestive organ, immunity organ, quail

Judul: Hematological Value off Egg-Laying Period of Quail with BSF  Maggot in Feed
Abstrak: Puyuh (Coturnix coturnix japonica) merupakan salah satu komoditas unggas dengan produk yang dapat dihasilkan berupa daging dan telur. Faktor penting yang mempengaruhi produktivitas puyuh adalah pakan. Harga pakan komersial semakin mahal khususnya pakan sumber protein, maka diperlukan pakan alternatif yaitu maggot BSF. Penelitian ini bertujuan menganalisis penambahan tepung maggot BSF sebagai pada puyuh sumber protein alternatif terhadap aspek hematologi. Penelitian ini menggunakan metode rancangan acak lengkap (RAL) dengan dua perlakuan dan lima ulangan untuk setiap perlakuan. Peubah yang diamati meliputi sel darah merah (jumlah eritrosit, hemoglobin, hematokrit, indeks eritrosit) dan sel darah putih (total leukosit, diferensiasi leukosit yang terdiri atas limfosit, heterofil, monosit, eosinofil, dan basofil), serta rasio H/L sebagai indeks stres. Hasil penelitian menunjukkan bahwa perlakuan pemberian maggot BSF sebanyak 12% menghasilkan nilai hemoglobin sedikit lebih tinggi daripada pemberian pakan MBM dan dihasilkan tingkat ketahanan tubuh yang sama baiknya antara kedua perlakuan. Oleh karena itu, puyuh periode bertelur yang diberi pakan maggot BSF dan MBM sebagai sumber protein utama menghasilkan nilai hematologi yang hampir sama., Quail (Coturnix coturnix japonica) is one of the poultry commodities with products that can be produced in the form of meat and eggs. An important factor that influences quail productivity is feed.The price of commercial feed is increasingly expensive, especially protein source feed, so alternative feed is needed, namely BSF maggots. Penelitian ini bertujuan menganalisis penambahan tepung maggot BSF sebagai pada puyuh sumber protein alternatif terhadap aspek hematologi. This study used a completely randomized design (CRD) method with two treatments and five replications for each treatment. The variables observed include red blood cells (number of erythrocytes, hemoglobin, hematocrit, erythrocyte index) and white blood cells (total leukocytes, leukocyte differentiation consisting of lymphocytes, heterophils, monocytes, eosinophils and basophils), as well as the H/L ratio as an index. stress in quail. The results of the research showed that the treatment with 12% BSF maggots produced slightly higher hemoglobin values than the MBM feed and resulted in the same level of body resistance between the two treatments. Therefore, quail during the laying period that were fed maggot BSF and MBM as the main protein source produced almost the same hematological values.
Keyword: Maggot BSF, Nilai Hematologi, Pakan, Puyuh, BSF Maggot, Feed, Hematological value, Quail

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