Judul: Transformasi fourier pada analisis gerombol data deret waktu harga saham
Abstrak: Tujuan penelitian adalah penggerombolan data deret waktu sesuai dengan pola data. Sebagai studi kasus data yang digunakan adalah data harga saham di Bursa Efek Jakarta pada periode Januari 2000 sampai dengan Desember 2002. Keseluruhan data terdiri dari 183 perusahaan. Untuk mengurangi perbedaan pada nilai tengah dan perbedaan yang disebabkan oleh harga saham, maka dilakukan transformasi dengan membagi data oleh rataannya. Data ditransformasi ke dalam deret fourier untuk membandingkan pola harga saham. Perbandingan pola dilakukan dengan membuat matriks prosimitas berdasarkan lima pasang deret fourier pertama. Analisis gerombol yang digunakan berupa analisis gerombol bertingkat dengan menggunakan pautan lengkap dan jarak enclid. Pemotongan gerombol dilakukan pada jarak terbesar ketiga yang membagi data ke dalam tujuh gerombol. Ketujuh gerombol menunjukkan perbedaan karakteristik pada pola harga sahamnya. Dari 183 emiten 80,71% menunjukkan penurunan harga saham selama periode Januari 2000 hingga Desember 2002.
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Judul: berjudul Pengelompokan Emiten berdasarkan Pergerakan Harga Saham menggunakan Dynamic Time Warping Clustering
Abstrak: Pasar modal adalah salah satu sarana investasi yang menjadi pilihan. Saham merupakan salah satu jenis investasi dalam pasar modal yang banyak dipilih karena menjanjikan keuntungan yang lebih tinggi dibanding jenis investasi lain, baik dari dividen maupun capital gain. Namun demikian, investasi saham mempunyai risiko yang lebih besar. Salah satunya adalah pola dan fluktuasi yang tidak beraturan pada harga saham yang akan berakibat pada keuntungan investasi saham itu sendiri. Adanya risiko ini menjadikan perlunya analisis untuk membuat klasifikasi emiten yang terdaftar dalam Bursa Efek Indonesia (BEI) menurut pola harga saham. Analisis yang dilakukan adalah Analisis Gerombol berhierarki dengan metode Dynamic Time Warping Clustering yang mampu mengelompokkan emiten atas dasar pola harga saham selama dua tahun transaksi di bursa efek berdasarkan sektor. Analisis ini menghasilkan gerombol yang dikelompokkan dalam 7 kelas dengan karakteristik yang berbeda. Kelas 1 merupakan kelompok emiten dengan pola cenderung naik dan fluktuasi rendah dari setiap sektor yang dijadikan sebagai rekomendasi terbaik untuk investasi saham.
Keyword: dynamic time warping, pasar modal, return saham, time series clustering

Judul: Drought Stress Tolerance Mechanisms of Eggplant (Solanum spp.): Physiology and Molecular.
Abstrak: Eggplant (Solanum melongena L.) is a popular and economically important vegetable crop grown in the tropics and subtropics, especially in Asia and Africa. Most of these crops grown in Asia and Africa are tolerant to biotic and abiotic stresses. Eggplant has a wide variation in morphological and physiological characteristics, therefore, it is necessary to explore the germplasm to gain more genotypes tolerant to biotic and abiotic stresses. Sufficient water availability at the first stage of plant growth is very important. Limited water supply may lead to drought stress. The long period of drought stress may disturb the metabolic process and lead the irreversible damage of the plant tissues, so the plant can not recover. This abiotic stress has been significantly proved to be one of factors decreasing the plant growth and productivity. The objective of this research was to reveal physiological and molecular response of six eggplant accessions (i.e. 098, 155, 414, 754, 772, and 827 accessions, and Panjalu-F1 as the control genotype) to drought stress. Plants were grown in medium containing soil, sand and compost (1:1:1, v/v/v) in the greenhouse. Plants were exposed to the drought treatment at 21 days after the plants have 6 fully leaves. Some parameters were examined during the drought treatment, which were media water content (MWC), relative water content (RWC), plant growth and dry weight, proline concentration, chlorophyll content and polyamine concentration. Total RNA was extracted from leaves on day 21st of the treatment. The arginine decarboxylase S. melongena (SmADC) fragment gene was amplified from the cDNA. ADC gene is one of genes involved in polyamine biosynthesis and plays important role in the plant tolerance mechanism to drought stress. The results showed that drought stress significantly reduced plant height, leaf area, stomatal density and aperture in all plants. Levels of chlorophylls were similar during the drought treatment in all plants. Proline and/or polyamines were accumulated and reached the maximum levels after 14 to 21 days after the treatment. High levels of these amines can be used to indicate that the plant is stressed by drought. Levels of proline and polyamines, especially putrescine, increased 10 times higher in the stressed-plants compared to those grown in the optimum condition. cDNA was synthesized from the total RNA by reverse transcription. In total, four fragments of SmADC were obtained by PCR from cDNA of accession 098 (2 fragments), cDNA of accession 772 (1 fragment) and genomic DNA of accession 098 (1 fragment). ADC primers were designed based on the conserved regions in ADC Solanum lycopersicum (accession number HM629957.1). Sequences analysis showed that the four SmADC fragments were 1 442 bp, 1 422 bp, 1 407 bp and 636 bp, encoding 151, 357, 466, 182 amino acids, respectively. Nucleotide alignment analysis showed that four SmADC fragments were 86-93 % homologue to Solanum lycopersicum (Acc: NM_001247720.1), Datura stramonium (Acc: AJ251898.1), Capsicum annuum (Acc: AY156514.1) and Nicotiana tabacum (Acc: AF321137.1). Based on the phylogenetic tree developed from the deduced amino acid sequence of ADC, SmADCs were grouped with Solanum lycopersicum, Datura stramonium, Capsicum annuum and Nicotiana tabacum. Analysis of conserved domains revealed that
Keyword: eggplant, proline, polyamine, arginine decarboxylase (ADC), pyridoxal 5-phosphate (PLP)