Judul: Aplikasi Mobile untuk Pengukuran Emosi Pelanggan Terhadap Kesukaan Produk Teh Siap Minum
Abstrak: Emosi immediate pelanggan dialami pada saat pengambilan keputusan. Jenis emosi ini memiliki peran yang dominan dalam menentukan keputusan pembelian pelanggan, terutama untuk produk minuman teh siap minum. Sebuah aplikasi mobile berbasis Android telah dikembangkan untuk mengukur jenis emosi ini melalui pengenalan raut wajah. Aplikasi ini memproses video digital sebagai masukan dan mengenali ekspresi yang terdapat padanya secara real time. Aplikasi ini menggunakan bahasa pemrograman Java dan dibantu dengan Open CV library untuk proses deteksi wajah dan Affdex-SDK untuk proses pengenalan emosi masukkan. Aplikasi ini sukses diuji untuk mengukur emosi pelanggan minuman teh siap minum dengan enam emosi yang digunakan, yaitu kegembiraan, kejijikan, kehinaan, kemarahan, valence, dan engagement. Hasil pengujian menunjukkan bahwa aplikasi ini dapat digunakan untuk mengukur emosi immediate pelanggan dengan akurat untuk memprediksi preferensi pelanggan. Metode relief digunakan untuk mengetahui emosi mana yang paling berpengaruh terhadap preferensi pelanggan. Hasilnya mengindikasikan bahwa emosi kegembiraan adalah yang paling mempengaruhi preferensi pelanggan, diikuti dengan valence dan engagement secara berurutan. Aplikasi mobile yang dibuat dapat digunakan oleh industri minuman teh siap minum untuk menjawab permasalahan manajemen hubungan pelanggan seperti loyalitas dan akuisisi pelanggan.
Keyword: Aplikasi Mobile, Emosi Pelanggan, Preferensi Pelanggan, Teh Siap Minum

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

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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