Judul: Analisis Grafologi Berdasarkan Huruf a dan t Menggunakan Jaringan Syaraf Tiruan Propagasi Balik Standar
Abstrak: Graphology or handwriting analysis is a method of identifying, analysing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. People who can analyze handwriting called graphologist. Graphologist can have a subjective assesment. Different graphologist can analyze the same handwriting but give different results. In addition, the accuracy of handwriting analysis depend on the graphologists ability. A system that can recognize handwrititng patterns is required to overcome these problems. Identification system which is implemented in this research uses Backpropagation Neural Network (BPNN). This research used 135 images of letter a and 150 images of letter t. This research is divided into three parts which are determining optimal combination of BPNN parameter, identifying personality based on letter a, and identifying personality based on letter t then classifies them into one of three character classes available. The results of this research is that the system has 98.15% accuracy for letter a and 73.33% for letter t. The result shows that Backpropagation Neural Network can be used to classify the personality
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Judul: Perbandingan Metode Ekstraksi Ciri FFT, PCA, dan FPE dalam Pengenalan Karakter Tulisan Tangan
Abstrak: The main purpose of this research is to create a fully functioned system to translate any handwritten mathematic expression into LaTeX code. This research itself serves as one of the basic part of the system, the handwritten character recognition system. Three feature extraction methods were compared and evaluated. They are Feature Point Extraction, Principle Components Analysis, and Fast Fourier Transform. Classification method used in this research is K-Nearest Neighbors. Accuracy measurement of the three methods shows that the maximum accuracy score by Feature Point Extraction is around 26%, while Principle Component Analysis and Fast Fourier Transform score is approximately 60% and 70%, respectively. FPE, despite its high score on optical character recognition (around 86% accuracy score), did not perform well due to the fact that the FPE method used in this research did not aware of the position of each feature point. PCA and FFT proved to be better for handwritten character recognition, with FFT being the one to have the highest accuracy score.
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Judul: Egg drop syndrome 1976 ( EDS '76 )
Abstrak: Dalam Rancangan Pelita Ketiga (1979/80 - 1983/84) dijelaskan bahwa tujuan pembangunan antara lain adalah me ningkatkan mutu gizi pola komsumsi masyarakat melalui pe- ningkatan penyediaan karbohidrat, protein dan vitamin. Selain daging dan susu, telur adalah sumber protein hewani yang sangat penting. Oleh sebab itu dalam rangka peningkatan penyediaan protein pemerintah terus berusaha meningkatakan produksi telur dengan menggalakan peternak- an rakyat dan peternakan komersil yang telah maju. Peter- nakan yang telah maju dapat berfungsi sebagai pusat latih an dan pengembangan usaha peternakan rakyat disekitarnya. Mereka dapat sebagai sumber bibit dan tehnologi bagi pe ternakan rakyat. Menurut data dari Bulletin Statistik dan Ekonomi. Ter nak (1981) produksi telur dari Repelita I sampai Repelita III terus meningkat. Dalam Repelita I terdapat kenaikan produksi telur +4,2% per tahun. Dalam Repelita II produk- si telur meningkat +13,8% per tahun dan dalam 2 tahun Re- pelita III (1979-1980) terdapat kenaikan rata-rata produk si telur +6,93% per tahun. ...
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