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ANALISIS KEBUTUHAN TENAGA ANALISIS KESEHATAN BERDASAR KEJA PEMERIKSAAN RUTIN DI INSTALASI PATOLOGI KLINIK SRUP DR SARDJITO YOGYAKARTA TAHUN 2001
Get PDFDisamping analisa kesehatan merupakan salah satu tenaga paramedis non perawatan di rumah sakit. Tujuan penelitian ini adalah untuk mendapatkan informasi tentang kebutuhan tenaga analisa kesehatan pemeriksaan rutin di Instalasi Patologi Klinik RSUP Dr Sardjito Yogyakarta.
Jenis penelitian ini merupakan penelitian deskriptif, metode penelitian adalah metode work sampling. Cara pengumpulan data diperoleh dari data primer dengan melakukan pengamatan terhadap kegiatan analisa kesehatan dan data sekunder yang diperoleh dari pencatatan danpelaporan dara di Instalasi Patologi Klinik RSUP Dr Sardjito. Populasi dan sampel penelitian adalah jumlah waktu yang digunakanoleh tenaga analisa kesehatan untuk menyelesaikan kegiatan pemeriksaan rutin dengan pengamatan jam kerja shift pagi (07.00-14.00) dan waktu pengamatan selama 120 menit.
Hasil penelitian menunjukkan beban kerja tenaga analisa kesehatan untuk pemeriksaan rutin adalah 6,04 jam (86,3%); waktu produktif 6,6 jam (95,2%); jumlah ideal tenaga analisa kesehatan menurut Formula Lokakarya Keperawatan 2 orang, Formula Gillies 2 orang dan Formulan Nina 3 orang. Beban kerja 6,04 jam (95,2%) termasuk kriteria bagus atau wajar, waktu produktif 6,6 jam termsuk kriteria sangat baik.
Kebutuhan tenaga analisa kesehatan pemeriksaan rutin di Instalasi Patologi Klinik RSUP Dr Sardjito Yogyakarta 2 orang dianggap sudah cukup, perlu dilakukanpen tentang beban kerja dan kebutuhan tenaga secara keseluruhan.
Kata Kunci: TENAGA ANALIS KESEHATAN, ANALISIS EKBUTUHAN RUMAH TANGG
Penggunaan Kalium Feri Sianida Untuk Pengolahan Serum Ikterik
Get PDFA bad sample gives an invalid laboratory test result. There are several reasons that can cause a sample to be unfit for examination. The serum that most often causes errors are hemolysis, jaundice and lipemia. Icteric serum is serum that is yellow brown due to hyperbilirubinemia (increased levels of bilirubin in the blood). Icteric serum may cause interference with laboratory tests. Icteric serum can affect measurements at a wavelength of 400-500 nm. Examination by the method of oxidase or peroxidase reactions, such as glucose, cholesterol, triglycerides and uric acid can be disrupted. Potassium Ferricyanide is added to oxidize bilirubin to biliverdin before testing, and can reduce absorption disorders. Potassium ferric cyanide can reduce total bilirubin levels (p=0.000) in icteric serum. There were differences in the results of total cholesterol (p=0.000), triglycerides (p=0.019), glucose (p=0.001), total protein (p=0.011), albumin (p=0.004), globulin (p=0.002), creatinine ( p=0.011), urea (p=0.014), SGOT (p=0.007), SGPT (p=0.030) and alkaline phosphatase (p=0.002) in icteric serum added and not added potassium ferric cyanide
PERBEDAAN JUMLAH SEDIMEN SEL EPITEL PADA URINE BERAT JENIS TINGGI YANG DISENTRIFUGASI DAN DIDIAMKAN
Get PDFLatar Belakang: Urine harus disentrifugasi dengan kecepatan dan waktu yang tepat untuk mendapatkan sedimen yang optimal dengan sedikit kerusakan sebelum dilakukan proses dekantasi dalam pemeriksaan sedimen urine. Beberapa laboratorium klinis di Daerah Istimewa Yogyakarta tidak melakukan tahapan sentrifugasi dan hanya mendiamkan urine beberapa saat sebelum dilakukan pemeriksaan. Urine yang tidak disentrifugasi dapat menyebabkan kesalahan hasil yang dapat merugikan pasien maupun instansi terkait.
Tujuan: Untuk mengetahui perbedaan dan jumlah sedimen sel epitel pada urine berat jenis tinggi yang disentrifugasi dan didiamkan.
Metode Penelitian: Penelitian ini merupakan penelitian Pre experimental designs dengan desain penelitian Static Group Comparison. Sampel penelitian ini adalah sampel urine sewaktu sisa pemeriksaan dari beberapa laboratorium di Daerah Istimewa Yogyakarta dengan kriteria berat jenis ≥ 1.025 sebanyak 50 sampel. Sampel dibagi menjadi dua kelompok perlakuan, yaitu sampel disentrifugasi 2.000 rpm selama 5 menit dan sampel yang didiamkan selama 30 menit pada suhu kamar. Sampel diperiksa jumlah sedimen sel epitel dibawah mikroskop medan terang dengan penambahan pewarna Sternheimer-Malbin. Hasil diklasifikasikan menjadi +1, +2, +3, +4, dan +5 berdasarkan rentang jumlah sedimen dalam 10 lapang pandang besar.
Hasil Penelitian : Dari 50 total sampel, terdapat 40 (80%) sampel urine memiliki perbedaan tingkat kepositifan hasil dan 10 (20%) sampel memiliki persamaan. Analisis statistik menggunakan Uji Beda Non-parametrik Mann-Whitney U didapatkan nilai signifikasi 0,000 (p<0,05) yang artinya ada perbedaan jumlah sedimen sel epitel pada urine berat jenis tinggi yang disentrifugasi dan didiamkan.
Kesimpulan : Ada perbedaan jumlah sedimen sel epitel pada urine berat jenis tinggi yang disentrifugasi dan didiamkan.
Kata Kunci : jumlah sedimen sel epitel, sentrifugasi, pendiama
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
“SI PETRUK: SISTEM INFORMASI PENDAMPINGAN TERAPI TUBERKULOSIS” SEBAGAI INOVASI PENDUKUNG PENGOBATAN PASIEN TUBERKULOSIS
No full textTuberculosis (TB) is a chronic disease caused by the bacterium Mycobacterium tuberculosis. In this case, tuberculosis is caused by a bacterial infection that attacks the respiratory tract of the lungs. Treatment of TB can be time-consuming and complex, as patients must undergo appropriate and disciplined drug therapy. Tuberculosis can be cured with treatment for six months to a year. In addition, TB patients also need good support and assistance in undergoing treatment. In the context of innovations supporting the treatment of TB patients, an information system called "Si Petruk" has been developed. Si Petruk is a tuberculosis therapy assistance information system that aims to help improve the effectiveness of TB treatment and reduce mortality from TB. The effectiveness of using applications is also supported by research (Purnomo, et al., 2020). That the application can optimize public services. This information system is designed to collect TB patient data electronically, including information about treatment status and laboratory test results. The system also provides automatic reminders to take medication and control appointments, as well as provides counseling and educational support for patients and families. In addition, Si Petruk also allows health workers to monitor and manage TB patients' treatment more effectively, by providing accurate information about treatment status and patient progress. The survey conducted on 43 tuberculosis patients showed that the Si Petruk application was useful with a value of 3.74 out of 4, ease of treatment of patients 3.58 out of 4, and ease of obtaining information of 3.6 out of 4. Then, the author also conducted a survey of 47 non-tuberculosis patients as a preventive measure for this disease showing that the Si Petruk application was useful with a value of 3.72 out of 4, easier for patients to educate 3.62 out of 4, and ease in obtaining information by 3.57 out of 4. The results of the following survey show that the Si Petruk application helps patients and non-patients to accompany treatment and educate tuberculosis
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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