Judul: Identifikasi Keragaman Gen Signal Transducer And Activator Of Transcription 5a (Stat5a) Promoter Pada Sapi Bali
Abstrak: Gen signal transducer and activator of transcription 5A (STAT5A) merupakan gen yang mengontrol sifat reproduksi sapi dan memiliki hubungan signifikan terhadap fertilitas dan perkembangan embrio. Penelitian ini bertujuan untuk mengidentifikasi keragaman genetik gen STAT5A promoter pada sapi bali yang berasal dari BPTU Pulukan Bali, BPT-HMT Serading, dan VBC Kabupaten Barru. Sapi bali yang diidentifikasi sebanyak 42 sampel dengan menggunakan metode PCR-sekuensing. Amplifikasi gen STAT5A promoter menghasilkan fragmen dengan panjang 603 bp. Hasil sekuens gen STAT5A promoter ditemukan 11 SNPs. SNP yang teridentifikasi pada daerah CpG island I yaitu g.-1448C>A, g.-1409C>A, g.-1405C>A, g.-1401C>A, g.-1450G>A, g.-1361G>A, g.- 1384A>G, dan g.-1350G>T. SNP yang ditemukan pada daerah CpG island II yaitu g.-1167C>T, g.-1128G>A, dan g.-1093G>A. Selain itu, analisis SNP menunjukkan mutasi di gen STAT5A daerah promoter dapat menjadi kandidat awal marker seleksi potensial untuk sifat reproduksi. Studi validasi lebih lanjut diperlukan untuk membuktikan peran gen STAT5A untuk digunakan dalam seleksi genom.
Keyword: CpG island, gen STAT5A, sapi bali, sekuensing, SNP

Judul: Identification of 5'UTR ASIP Gene Diversity in Normal Hair, White Spotted, and Albino Bali Cattle
Abstrak: Sapi bali dewasa memiliki warna rambut merah bata untuk betina dan hitam pada jantan. Tujuan penelitian ini mengidentifikasi keragaman gen ASIP pada 5’UTR dan menganalisis keterkaitannya dengan warna rambut normal, white spotted, dan albino pada sapi bali. Sapi bali yang digunakan terdiri atas 20 ekor sapi bali warna rambut normal, 15 ekor white spotted, dan 13 ekor albino. Keragaman gen ASIP dianalisis dengan metode direct sequencing untuk mendapatkan variasi SNP. Primer yang digunakan yaitu forward 5'-AAA TCA ACA TCT CGG CTT GG-3' dan reverse 5'-AAA AGG AAA GTG CGG AGG AG-3' dengan panjang produk 420 bp. Sekuensing gen ASIP dianalisis di perusahaan 1st Base di Selangor, Malaysia. Data sekuensing dianalisis menggunakan program FinchTV, BioEdit, dan Molecular Evolutionary Genetic Analysis (MEGA) versi 7.0. Kurang lebih 94 bp (dari 420 bp) gen ASIP berhasil dianalisis dengan baik pada semua sampel sapi bali, dan tidak ada variasi (monomorfik). Hasil sekuen basa nukleotida gen ASIP 5’UTR setelah sekuens 5’-TTT TTT TTT T-3’ tidak dapat ditentukan variasi sekuennya karena mengalami duplikasi (double fix). Hasil penelitian ini dapat disimpulkan bahwa gen ASIP 5’UTR tidak dapat membedakan warna rambut normal, white spotted, dan albino., Bali cattle have brick red hair for the females and black hair for the males. The purpose of this study was to identify the ASIP gene diversity in 5'UTR and to analyze its association with hair color in bali cattle. The bali cattle used in this experiment are 20 with normal hair color, 15 white spotted, and 13 albino. ASIP gene was analyzed with direct sequencing to obtain SNP. The primers used were forward 5'-AAA TCA ACA TCT CGG CTT GG-3' and reverse 5'-AAA AGG AAA GTG CGG AGG AG-3' with a product length of 420 bp. ASIP gene sequencing was analyzed at the 1st Base company in Selangor, Malaysia. Sequencing data were analyzed using the FinchTV, BioEdit, and MEGA programs version 7.0. Approximately 94 bp (out of 420 bp) of the ASIP gene in samples was successfully analyzed, moreover, there was no variation (monomorphic). The results of the ASIP 5'UTR gene after the sequence 5'-TTT TTT TTT T-3' could not be determined because it experienced a double fix. This study concluded that the ASIP 5'UTR gene cannot distinguish normal hair color, white spotted, and albino.
Keyword: ASIP gene, bali cattle, coat color, direct sequencing, SNP

Judul: The addition of a noun word graph dictionary module in bogordelftconstruct
Abstrak: Knowledge Graph is a new method in Natural Language Processing that is used to describe human language and displaying it into a graph form. BogorDelftConStruct is a tool to analyze Indonesian text, developed by Deni Romadoni (2009). The tool has limited feature, opening many opportunities to add some other features. The goal of this research is to develop a noun word graph dictionary module and add it in BogorDelftConStruct. The patterns of the noun word-graph are based the research of Saleh (2009). In this research, of the 20 patterns in Saleh (2009) only 13 patterns are used, since some of word graph patterns which have the same affix and also have the different meaning. As many as 144 nouns were used in scenario testing, with 1 error was generated (99,33% accuracy).
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