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Hasil Pencarian

Ditemukan 116690 dokumen yang sesuai dengan query
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May, Karl
Yogyakarta: Narasi, 2019
813.54 MAY w
Buku Teks SO  Universitas Indonesia Library
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May, Karl
Yogyakarta: Narasi, 2019
813.54 MAY w
Buku Teks  Universitas Indonesia Library
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Pinka Almira Kusuma
"ABSTRAK
Penelitian ini menganalisis hasil terjemahan nama diri khususnya nama tokoh dan
nama geografis yang diterapkan dalam novel terjemahan Winnetou I: Kepala Suku
Apache. Tujuan dari penelitian ini adalah untuk memaparkan hasil penerjemahan
dilihat dari aspek morfosemantis. Data dianalisis berdasarkan teori jenis
penerjemahan Larson, teori metode penerjemahan nama diri Krüger dan
Newmark, teori proses morfologis Djoko Kentjono dan Fleischer/Barz, serta jenis
makna Blanke. Metode penelitian yang digunakan adalah kualitatif komparatif.
Berdasarkan hasil penelitian, dapat disimpulkan bahwa metode penerjemahan
yang paling banyak diterapkan adalah mempertahankan bentuk asli. Selain itu,
jenis makna yang terdapat dalam terjemahan adalah makna referensial, asosiatif,
afektif, dan situatif.

ABSTRACT
This study discusses the translation of proper names, more precisely the names of
persons and geographical names in the novel Winnetou I: Kepala Suku Apache.
The aim of this study is to explain the results of the translation from
morphosemantics’ perspectives. The analysis uses the theory of translation type of
Larson, the proper names’ translation methods by Krüger and Newmark, the word
formations by Djoko Kentjono and Fleischer/Barz, and the meaning types by
Blanke. This is a qualitative-comparative research. The result shows that the
retention is the most used method. Referential, assosiative, affective, and situative
meaning are the meanings that mostly appear in the text."
2014
S54372
UI - Skripsi Membership  Universitas Indonesia Library
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May, Karl
Jakarta: Narasi, 2019
813.54 MAY w
Buku Teks SO  Universitas Indonesia Library
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May, Karl
Jakarta: Pustaka Primatama , 2004
813.54 MAY wt
Buku Teks SO  Universitas Indonesia Library
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Radhita Fatma Kamil
"[ABSTRAK
Pendahuluan: Keputusan relaparotomi yang terlambat menambah morbiditas dan mortalitas. Keputusan on demand relaparotomy bersifat subjektif dari klinis, sehingga diperlukan pemeriksaan diagnostik tambahan dan alat untuk menentukan keputusan secara tepat, yaitu sistem skor. Metode penelitian: kasus kontrol dengan menggunakan 32 kasus on demand relaparotomy dan 64 kasus laparotomi, secara retrospektif. Hasil penelitian: Analisis perbedaan dua kelompok menunjukkan bahwa skor APACHE II tidak mempunyai perbedaan bermakna (p=0,144) sedangkan skor MPI dan ARPI mempunyai perbedaan yang bermakna (p<0,0001). Dari kurva ROC didaptkan APACHE II mempunyai AUC 59,2% dengan cut off point 10, MPI mempunyai AUC 86,4% dengan cut off point 20 dan ARPI mempunyai AUC 77,6% dengan cut off point 10. Kesimpulan: MPI dan ARPI bermanfaat sebagai penentu on demand relaparotomy.ABSTRACT Background: Delayed decision to do relaparotomy add morbidity and mortality. The decision to do on demand relaparotomy is subjective based on the clinical nature, therefore, it is necessary to have an examination and additional diagnostic and tools to determine the correct decisions, that is the scoring system. Methods: this is a case-control using 32 cases of on demand relaparotomy and 64 cases of laparotomy, retrospectively. Results: The analysis of the two groups showed that APACHE II has no significant difference (P = 0.114) while the MPI and ARPI has significant difference (P <0.0001) and on ROC curve obtained APACHE II had AUC of 59.2% with a cut-off point of 10, MPI had AUC of 86.4% with a cut-off point of 20 and ARPI had AUC of 77.6% with a cut-off point of 10.
Conclusion: MPI and ARPI can be used as determinants on demand relaparotomy. ;Background: Delayed decision to do relaparotomy add morbidity and mortality. The decision to do on demand relaparotomy is subjective based on the clinical nature, therefore, it is necessary to have an examination and additional diagnostic and tools to determine the correct decisions, that is the scoring system. Methods: this is a case-control using 32 cases of on demand relaparotomy and 64 cases of laparotomy, retrospectively. Results: The analysis of the two groups showed that APACHE II has no significant difference (P = 0.114) while the MPI and ARPI has significant difference (P <0.0001) and on ROC curve obtained APACHE II had AUC of 59.2% with a cut-off point of 10, MPI had AUC of 86.4% with a cut-off point of 20 and ARPI had AUC of 77.6% with a cut-off point of 10.
Conclusion: MPI and ARPI can be used as determinants on demand relaparotomy. ;Background: Delayed decision to do relaparotomy add morbidity and mortality. The decision to do on demand relaparotomy is subjective based on the clinical nature, therefore, it is necessary to have an examination and additional diagnostic and tools to determine the correct decisions, that is the scoring system. Methods: this is a case-control using 32 cases of on demand relaparotomy and 64 cases of laparotomy, retrospectively. Results: The analysis of the two groups showed that APACHE II has no significant difference (P = 0.114) while the MPI and ARPI has significant difference (P <0.0001) and on ROC curve obtained APACHE II had AUC of 59.2% with a cut-off point of 10, MPI had AUC of 86.4% with a cut-off point of 20 and ARPI had AUC of 77.6% with a cut-off point of 10.
Conclusion: MPI and ARPI can be used as determinants on demand relaparotomy. ;Background: Delayed decision to do relaparotomy add morbidity and mortality. The decision to do on demand relaparotomy is subjective based on the clinical nature, therefore, it is necessary to have an examination and additional diagnostic and tools to determine the correct decisions, that is the scoring system. Methods: this is a case-control using 32 cases of on demand relaparotomy and 64 cases of laparotomy, retrospectively. Results: The analysis of the two groups showed that APACHE II has no significant difference (P = 0.114) while the MPI and ARPI has significant difference (P <0.0001) and on ROC curve obtained APACHE II had AUC of 59.2% with a cut-off point of 10, MPI had AUC of 86.4% with a cut-off point of 20 and ARPI had AUC of 77.6% with a cut-off point of 10.
Conclusion: MPI and ARPI can be used as determinants on demand relaparotomy. , Background: Delayed decision to do relaparotomy add morbidity and mortality. The decision to do on demand relaparotomy is subjective based on the clinical nature, therefore, it is necessary to have an examination and additional diagnostic and tools to determine the correct decisions, that is the scoring system. Methods: this is a case-control using 32 cases of on demand relaparotomy and 64 cases of laparotomy, retrospectively. Results: The analysis of the two groups showed that APACHE II has no significant difference (P = 0.114) while the MPI and ARPI has significant difference (P <0.0001) and on ROC curve obtained APACHE II had AUC of 59.2% with a cut-off point of 10, MPI had AUC of 86.4% with a cut-off point of 20 and ARPI had AUC of 77.6% with a cut-off point of 10.
Conclusion: MPI and ARPI can be used as determinants on demand relaparotomy. ]"
Fakultas Kedokteran Universitas Indonesia, 2015
SP-PDF
UI - Tugas Akhir  Universitas Indonesia Library
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Hughes, Charles W.
New York : Columbia University Press, 1980
R 783.909 HUG a
Buku Referensi  Universitas Indonesia Library
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May, Karl
Hamburg : Verlag Und Herausgeber, [t.th].
833.9 M 45 w
Buku Teks  Universitas Indonesia Library
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Evan Benedict Zaluchu
"ABSTRAK
Big Data adalah salah satu fenomena yang sudah tidak jarang terjadi di berbagai aspek-aspek kehidupan, baik di bidang industri, keuangan, sosial, dan sebagainya. Dari segi sosial, penggunaan media sosial seperti Twitter merupakan salah satu aplikasi nyata dari teknologi Big Data. Melalui opini-opini yang disampaikan pada Twitter, kita dapat mengetahui hal-hal apa saja yang menjadi topik terkini. Dengan besarnya jumlah tweet yang dipublikasikan tiap hari, atau tiap jam, membuat analisis terhadap Twitter ini hampir mustahil dilakukan tanpa menggunakan teknologi komputasi. Environment seperti Hadoop, Flume, dan Hive merupakan salah satu teknologi dapat digunakan untuk menganalisis jumlah data yang besar, yang mengalir di dalam Twitter.

ABSTRACT
Big Data is one of the global phenomenon that has become broad thing in the various aspects of the daily life, such as in industry sector, finance sector, social sector, etc. From the social aspect, the usage of the social media such as Twitter is one of the real application of the Big Data technology. Through the opinions that expressed on Twitter, we can find out about the things that become the current trending topic. With the numbers of the tweets that published every day, or every hour, making it impossible to do the Twitter analyzing without the use of the computational technology. The environment such as Hadoop, Flume, dan Hive is one of the technologies that can be use to analyze the enormous size of data, that flows around Twitter. "
2017
S67967
UI - Skripsi Membership  Universitas Indonesia Library
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Rokhanah Murkana
"Pajak Hotel dan Restoran merupakan salah satu jenis Pajak Daerah yang cukup potensial, namun pemungutannya kurang maksimal, penyebabnya antara lain terjadinya krisis ekonomi yang berkepanjangan, iklim usaha yang kurang kondusif, masih tingginya ketidakpatuhan dari Wajib Pajak serta masih kurangnya kuantitas maupun kualitas Pemeriksa. Untuk meningkatkan efektivitas pemungutannya tersebut perlu dilaksanakan pemeriksaan. Agar pemeriksaan mencapai sasaran perlu dikelola dalam bentuk Sistem Pemeriksaan Pajak Hotel dan Restoran.
Tujuan penelitian adalah untuk menguraikan Sistem Pemeriksaan di Suku Dinas Pendapatan Daerah Kodya Jakarta Barat II, menganalisa penerapan Sistem Pemeriksaan yang berlaku seperti program pemeriksaan, teknik pemeriksaan dan kerta kerja pemeriksaan serta menganalisis hambatan-hambatan serta upaya-upaya yang dilakukan dalam rangka mengefektifkan pemeriksaan pajak Hotel dan Restoran.
Metode penelitian yang digunakan dalam penelitian ini adalah metode Deskriptif Analysis dengan teknik pengumpulan data berupa studi kepustakaan dan studi lapangan dan melalui wawancara dengan pihak-pihak terkait. Dan hasil Penelitian ini diperoleh kesimpulan bahwa Sistem Pemeriksaan merupakan salah satu alat yang digunakan dalam rangka menggali penerimaan pajak secara optimal, namun dalam penerapannya masih ditemukan hambatan berupa terbatasnya kuantitas maupun kualitas sumber daya manusia maupun terbatasnya waktu pemeriksaan, walaupun pihak Sudin Panda sudah melakukan berbagai upaya untuk mengatasi hambatan tersebut."
Depok: Fakultas Ilmu Sosial dan Ilmu Politik Universitas Indonesia, 2003
T12224
UI - Tesis Membership  Universitas Indonesia Library
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