Judul: Implementasi Pengenalan Suara dalam Pencarian Ayat-Ayat al-Quran Menggunakan MFCC dan Codebook
Abstrak: Pencarian teks ayat-ayat al-Quran tidaklah mudah dikarenakan dibutuhkan keahlian khusus dalam pengetahuan bahasa Arab. Oleh karena itu, dibuatlah sebuah sistem pencarian teks ayat-ayat al-Quran dengan bantuan transkripsi suara agar mempermudah pencarian ayat-ayat al-Quran. Dengan menggunakan MFCC sebagai ekstraksi ciri, suara diubah menjadi sebuah data vektor yang dapat dicirikan dan dijadikan sebuah codebook. Penelitian ini bertujuan untuk mengimplementasikan pengenalan suara ke dalam sebuah sistem pencarian teks al-Quran. Terdapat 4 potongan ayat Al-Quran yang akan diidentifikasi ke dalam ayat-ayat yang mengandung potongan ayat terebut. Penelitian ini berhasil menghasilkan sebuah sistem yang dapat mendeteksi potongan ayat al-Quran pada sebuah ayat dengan akurasi sebesar 85%
Keyword: al-Quran, codebook, K-means clustering, MFCC, transkripsi suara

Judul: Penerapan Model Codebook untuk Transkripsi Suara ke Teks dengan Ekstraksi Ciri Mel-Frequency Cepstrum Coefficients (MFCC)
Abstrak: The advancement of information technology has triggered various demands in utilizing computer. One of them is to make computers able to communicate naturally with humans. This study uses MFCC as a feature extraction method and codebook as a pattern recognition method for voice-to-text transcription. The clustering technique used in this study is k-means. Data obtained from MFCC are clustered using the k-means method, and the model for classification is constructed using the codebook method. The utilized MFCC parameters are sampling frequency 11 000 Hz, time frame 23.27 ms, overlapping 39%. 300 voice data in WAV files with 5 seconds of duration each, are used as the training data and test data to determine the number of cepstral coefficients and the number of cluster that can produce the highest accurancy. The experiment is conducted by recognizing each syllable in 60 the test data with 240 training data. Simulation result shows that the maximum accurancy obtained is 98.3% at 26 cepstral coefficients and 12 clusters.
Keyword: voice transcription, MFCC, k-means, codebook

Judul: Kapasitas Konsumsi Larva dan Imago Epilachna vigintioctopunctata (Fab.) (Coleoptera: Coccinellidae) pada Inang Terung (Solanum melongena) dan Tomat (Lycopersicum esculentum).
Abstrak: The hadda beetle of Epilachna vigintioctopunctata is an important pest on Solanaceae plants. Crops devoliation are strongly influenced by food consumption pattern on each host plant. The aim of this study is to compare the consumption of E. vigintioctopunctata on eggplant and tomato leaves and its influenced on the acceleration of larval growth rate, the body size, the length of each instars periods, and standing position of the beetles during eating. Each tested leaf was taken from two-month-old host plants and fed to newly hatched instars larvae. The daily leaf areal consumed and the body lengths of insect were measured until the adult died. The changing of instars morph and the position of insect on the leaf surface were also observed. The average rate of food consumption by fourth instar larvae and adult were significantly higher on eggplants 190.5 and 190.8 mm2/days compared with tomatoes 76.40 and 127.1 mm2/days, respectively. The total areas of damaging leaf within 17.2 days during larval and adult feeding stage were 2069.1 mm2/insect on eggplants and 1067.3 mm2/insect on tomatoes. Food consumption on the eggplant shortened the length of the pupal period and increased the longevity of adult to become 4 and 9 days, respectively. Highly food consumption by the third instar larvae almost produced the same size of the next fourth instar, further consumption caused the lengthened of pupal size and the shortened of adult on the eggplant compared with tomato. The growth rate of larval body size was 0.5-0.7 mm/day on eggplants significantly higher than tomatoes was 0.1-0.3 mm/day. The adult beetles tend to stay on the upper surface, while the larvae prefer on the lower surface of both eggplant and tomato leaves. In general, E. vigintioctopunctata devastated more on the eggplant than tomato leaves.
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