Judul: : Analisis Perbandingan Efisiensi Tataniaga Benih Ikan Gurame Melalui dan Tanpa Melalui Kelompok Tani di Desa Sukamaju Kidul Kecamatan Indihiang Kota Tasikmalaya
Abstrak: Gurame fish is one of the commodities in Indonesia which has economic value. Length of time and risks in production became important thing to be considered and would affected the amount of carp farmers revenue. In addition, supply from other areas which had better production caused competitive minimum selling price at farmers level. Therefore, the research of efficiency in gurame fish marketing is needed in order to provide gurame fish marketing comprehensively. The objectives of this research were to identify the marketing channels, institutions, functions and market structure of gurame fish marketing, and to analyze the operational efficiency of gurame fish marketing with marketing marjin approach, farmer’s share, and benefit-cost ratio. Besides that, it also determine presence impact of a farmers group in marketing activities. The observations and interviews were conducted to farmers in Sukamaju kidul village by purposive sampling method, while the method of snowball sampling was conducted to marketing institutions. The result showed that there were 5 marketing channels with different institutions, functions, and market structure on every channel. Operational efficiency analysis showed that there was difference in farmer groups business administration and it was also more efficient.
Keyword: Sukamaju village, gurame marketing, farmers group, efficiency, comparison

Judul: Analisis kinerja pelaku usaha rantai pasok Ikan Gurame di Kecamatan Ciseeng
Abstrak: Kinerja rantai pasok ikan gurame penting untuk diukur agar mengetahui performa dari setiap anggota rantai pasok. Rantai pasok penting dilakukan karena salah satu faktor penentu daya saing yang dihadapi oleh para pelaku dalam perkembangan bisnisnya. Anggota rantai pasok ikan gurame di Kecamatan Ciseeng meliputi petani tambak, pengumpul, pedagang pasar serta restoran sebagai pengolah ikan gurame. Penelitian ini dilakukan dengan menggunakan analisis kinerja berdasarkan Supply Chain Operation Reference (SCOR) dengan modifikasi sesuai dengan karakterisitik bisnis ikan gurame dan Analytical Hierarchy Process (AHP) untuk menentukan bobot setiap atribut dan metriks kinerja. Atribut yang dianalisis kinerjanya adalah reliabilitas, fleksibilitas, responsivitas, biaya, dan aset. Atribut-atribut kinerja tersebut juga memiliki matriks kinerja yang menentukan nilai dari kinerja setiap anggota tersebut. Hasil dari penelitian ini adalah kinerja untuk setiap anggota memiliki nilai yang berbeda. Petani memiliki nilai kinerja sebesar 76.62% dan pengumpul memiliki nilai 76.02% yang masuk dalam kriteria kurang. Pedagang pasar memiliki nilai 52.93% yang masuk dalam kriteria buruk. Restoran memiliki nilai kinerja sebesar 85.75% yang masuk dalam kriteria sedang. Setiap anggota rantai pasok belum memiliki nilai kinerja 100% dikarenakan target-target yang telah ditentukan oleh setiap anggota belum tercapai secara maksimal. Secara umum rendahnya kinerja rantai pasok pada setiap pelaku terdapat pada atribut responsivitas yang antara lain karena keterbatasan dalam penyimpanan, resiko dalam penyimpanan dan keterbatasan tersedianya modal.
Keyword: AHP, inconsistency, perfomance, SCOR

Judul: Application of Mel Frequency Cepstrum Coefficients (MFCC) as Feature Extraction on Phoneme Recognition with Probabilistic Neural Network (PNN) as Classifier
Abstrak: Voice recognition (speech recognition) is one field of study in voice processing. This technology can convert voice signals into a form of written information (text). With this technology, people can interact with a computer. MFCC feature extraction computes the cepstral coefficients by considering the human hearing. This research is a phoneme recognition using feature extraction MFCC and PNN as feature matching model. This study compares the coefficient, overlap, and the test data without noise and with noise. MFCC is used with 13, 20, 26 coefficients and 0%, 25%, 50% overlap. Noise is added by 30 dB, 20 dB and 10 dB. From the comparison of the three overlaps, produced the best accuracy at 50% overlap with an accuracy of 94,71%. From comparing the three coefficients, better accuracy resulting in coefficients of 20 and 26 with an accuracy of 97,12% at 50% overlap. After comparing between the coefficients of 20 and 26 with overlap of 25% then the coefficient 26 is obtained that better accuracy of 94,23%. This shows that in this study the coefficient 26 is the best. In this research, there are three noise variables. The variables are 10 dB, 20 dB, and 30 dB. The best accuracy reached when the noise variable is 30 dB rather than 10 dB or 20 dB because the accuracy has the closest accuracy compared by the accuracy when noise was not added into the data. When the noise variable is 30 dB, the percentage of accuracy is 85,3%.
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