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"Under The Hawthorn Tree karya sutradara Zhang Yimou (张艺谋) adalah film bergenre romansa drama yang dirilis pada tahun 2010 dengan latar waktu zaman Revolusi Kebudayaan Cina (1966-1976). Film ini diadaptasi dari novel dengan judul yang sama, karya Ai Mi yang diambil dari kisah nyata, yaitu cerita cinta teman Ai Mi pada masa Revolusi Kebudayaan Cina. Penelitian ini bertujuan untuk mengungkap penyebab citra perempuan tangguh yang muncul film UTHT melalui penokohan Jing Qiu dan ibu Zhang. Metode yang digunakan dalam penelitian ini adalah kualitatif analisis. Kesimpulan dalam penelitian ini adalah citra perempuan tangguh yang terlihat pada dua tokoh perempuan, yaitu Jing Qiu dan Ibu Zhang berkaitan dengan latar waktu film, yaitu pada masa Revolusi Kebudayaan. Melalui analisis dari adegan termasuk juga dialognya, penelitian ini menemukan ketangguhan tokoh Ibu dan anak disebabkan karena hidup pada masa Revolusi Kebudayaan yang penuh dengan kebijakan sepihak dari partai kepada masyarakat Cina.

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Under The Hawthorn Tree is a 2010 romance drama film directed by Zhang Yimou (张艺谋) that takes place during the Chinese Cultural Revolution (1966-1976). The movie is adapted from the novel with the same title, by Ai Mi, which is taken from a true story of her friend during the Chinese Cultural Revolution. This study aims to reveal the causes of the image of a tough woman appearing in the UTHT film through the characterizations of Jing Qiu and Zhang's mother. The method used in this research is qualitative analysis. This study concludes that the image of a tough woman seen in the two female characters, Jing Qiu and Zhang Laoshi is related to the film's time setting, the Cultural Revolution period. Through analysis of the scenes, including the dialogues, this research finds the toughness of the mother and daughter characters was due to living during the Cultural Revolution which was full of unilateral from the party to people."

"Proses mencari pola atau informasi yang berguna pada suatu kumpulan data dengan menggunakan metode tertentu, saat ini telah menjadi topik yang menarik. Salah satu manfaatnya yaitu dapat menunjang pengambilan keputusan dalam suatu organisasi baik itu organisasi profit maupun non profit. Pada makalah ini akan dilakukan pengujian terhadap sekumpulan data yang diambil dari kejadian nyata untuk diolah, guna mendapatkan informasi atau pola yang dapat berguna untuk penentuan pengambilan sebuah keputusan. Pengujian pada makalah ini merupakan prediksi terhadap pengguna jasa sebuah operator seluler akan kehadirannya pada suatu acara berdasarkanbeberapa indicator, cuaca, jarak relative terhadap lokasi acara, serta apakah pengguna jasa tersebut merupakan termasuk pelanggan pasca bayar atau tidak. Pengujian dilakukan dengan menggunakan tiga metode klasifikasi, yakni naïve bayes, decision tree, dan oneR. Hasil dari percobaan ini bisa menunjukkan prediksi dari setiap percobaan dengan tingkat akurasi prediksi yang berbeda-beda disetiap metode yang digunakan."

"Tree farming such as coconut, cocoa, cocoa, coffee, rubber and rambutan was dominant in the west coast of Aceh prior to tsunami. The farming is not only important for sustainable livelihood, but also for superior environmental protection..."

"ABSTRACTGene-specific markers are important tools in genetic analysis, allowing direct estimation of functional diversity. The goal of this study was to develop intron length polymorphism (ILP) markers from candidate genes associated with the secondary growth related traits that underpin the economics of rubber tree cultivation. We performed a BLAST analysis of Eucalyptus spp. expressed sequence tag (EST) sequences for 23 candidate genes involved in secondary growth. From the total 142 shotgun contig hits, 531 introns were identified and 23 polymorphic ILP markers representing 23 candidate genes were selected for diversity assessment of 170 Amazonian accessions. The markers yielded 140 alleles with an average of 6.1 alleles per locus. Polymorphism information content (PIC) values ranged from 0.40 to 0.89, with an average of 0.64, indicating a high level of polymorphism in the markers. Analyses of population structure confirmed that the Amazonian accessions fell into two subpopulations grouped by catchment area, supporting previous reports. Among the 23 ILP markers analyzed, 11 revealed private alleles across Amazonian populations. The ILP markers developed in this study provide an immediate resource for the study of genetic diversity and establishment of marker-trait association for secondary growth traits in rubber trees."

"Currently, we reported results of a nested polymerase chain reaction (PCR) assay specific 5` untranslated region (UTR)region of hepatitis C virus (HCV) genome that showed three different patterns of deoxyribonucleic acid (DNA)fragments (single expected specific DNA band, single DNA band higher in size than an expected band, and multipleDNA bands). Three isolates (Isolate A, B, and C), representing all the three DNA bands, were analyzed by usingphylogenetic trees. The results showed that the Isolate A, B, and C were classified into HCV genotypes 2, 1, and 3,respectively. The Isolate A and B were very closely related to viral isolates from Madagascar and Brazil, respectivelyand were not closely related to other Indonesia isolates. In contrast with the Isolate A and B, the Isolate C was veryclosely related to another Indonesia isolate. Among all there isolates, the Isolate C was very closely related to anIndonesia isolate detected from a cirrhosis patient, indicating that the Isolate C might be more virulence than the IsolateB and C. However, a complete genome-based comprehensive genetic characterization for all the three isolates needs tobe conducted in future research to confirm all findings in this study.Analisis Filogenetik Berbasis Region5` yang Tidak Ditranslasikan Sebagian (Partly 5` UTR) terhadap Tiga IsolatVirus Hepatitis C di Jakarta, Indonesia: Kajian Pendahuluan. Makalah ini adalah laporan hasil pengujian genomHCV dengan metode nested PCR 5` UTR spesifik yang menunjukkan adanya tiga pola fragmen DNA yang berbeda(untai DNA spesifik yang diekspektasi tunggal, untai DNA tunggal yang berukuran lebih tinggi daripada untai yangdiekspektasi, dan untai DNA majemuk). Tiga isolat (Isolat A, B, dan C) yang mewakili tiga berkas DNA itu dianalisisdengan pohon filogenetik. Hasil penelitian menunjukkan bahwa Isolat A, B, dan C tergolong genotipe HCV 2, 1, dan 3secara berturut-turut. Isolat A dan B masing-masing berhubungan erat dengan isolat virus dari Madagaskar dan Brazil,meskipun keduanya tidak berhubungan erat dengan isolat dari Indonesia. Berbeda dengan isolat A dan B, Isolat Cberhubungan erat dengan isolat dari Indonesia. Di antara ketiga isolat, Isolat C memiliki hubungan paling erat denganisolat Indonesia yang ditemukan pada seorang pasien kirosis. Hal ini menunjukkan adanya kemungkinan bahwa Isolat Clebih berbahaya daripada Isolat B dan C. Bagaimanapun, karakterisasi genetis komprehensif berbasis genom yanglengkap terhadap ketiga isolat perlu dilaksanakan pada kajian-kajian berikutnya untuk mendukung hasil penelitian ini."

"Currently, we reported results of a nested polymerase chain reaction (PCR) assay specific 5` untranslated region (UTR) region of hepatitis C virus (HCV) genome that showed three different patterns of deoxyribonucleic acid (DNA) fragments (single expected specific DNA band, single DNA band higher in size than an expected band, and multiple DNA bands). Three isolates (Isolate A, B, and C), representing all the three DNA bands, were analyzed by using phylogenetic trees. The results showed that the Isolate A, B, and C were classified into HCV genotypes 2, 1, and 3, respectively. The Isolate A and B were very closely related to viral isolates from Madagascar and Brazil, respectively and were not closely related to other Indonesia isolates. In contrast with the Isolate A and B, the Isolate C was very closely related to another Indonesia isolate. Among all there isolates, the Isolate C was very closely related to an Indonesia isolate detected from a cirrhosis patient, indicating that the Isolate C might be more virulence than the Isolate B and C. However, a complete genome-based comprehensive genetic characterization for all the three isolates needs to be conducted in future research to confirm all findings in this study."

"ABSTRAKThe objective of this study was to compare the anthraquinone content of cassod tree leaves, golden shower pods and noni roots that were determined in the form of free anthraquinone and anthraquinone glycoside by Soxhlet and decoction extraction method. The anthraquinone compounds were identified by the Borntrager reaction. The determination of anthraquinone UV-Visible spectrophotometry at 325nm was used. The results show that the highest anthraquinone content in the golden shower pods with 70% (v/v) ethanol was 193.79mg/g dry plant. The suitable solvent for the anthraquinone glycoside extracts was 80% (v/v) ethanol for the cassod tree leaves. In the testing of birds, 1% of the extracted golden shower pods that cover the seeds for food consumption showed a lower amount than that consumed in the control group (p <0.05)."

"Seiring dengan berkembangnya industri kredit, resiko kredit telah menjadi hal yang penting bagi instansi keuangan. Sehingga, penggunaan metode yang tepat dalam menilai resiko dari setiap permohonan kredit perlu dilakukan. Credit scoring merupakan salah satu metode penilaian resiko kredit yang sering digunakan dan sudah banyak dibuat dengan menggunakan berbagai metode data mining. Penelitian ini akan mengaplikasikan metode CART dalam membuat model credit scoring dengan menggunakan kasus di Koperasi. Model credit scoring hasil penelitian ini memiliki tingkat akurasi yang cukup tinggi (83,62%) dan Type I Error yang rendah (4,04%). Namun, model ini memiliki Type II Error yang cukup tinggi yaitu, 53,23%.

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With the rapid growth of credit industry, credit risk has become critical for financial institutions. Thus, using the best methods of assessing risk for credit applicants are needed. Credit scoring is one of the method of credit risk measurement, and has been widely developed by using various data mining techniques. This study will implement CART for constructing credit scoring model using data of microfinance institution. As the results, the credit scoring model has high accuracy (83,62%) and low Type I Error (4,04%). While its Type II Error is high (53,23%)."