Penentuan Kriteria Penilaian Kesan Jumlah Leukosit Pada Pemeriksaan Apusan Darah Tepi

Arwie, Dzikra; ISLAWATI, ISLAWATI

doi:10.37362/jkph.v3i2.188

Cited by 3 publications

(2 citation statements)

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“…Dalam pemeriksaan sediaan apusan darah tepi terdapat beberapa kendala dalam melakukan pemeriksaan yaitu pemeriksaan ditunda setelah pengambilan sampel yang mengakibatkan kerusakan sel-sel darah, kaca objek yang kotor mengakibatkan binti-bintik pada apusan, tetesan terlalu banyak atau terlalu sedikit, geseran terlalu lambat dan pewarnaan yang tidak baik (Arwie & Islawati, 2018). Pemeriksaan menggunakan darah EDTA sebaiknya dilakukan segera, bila terpaksa ditunda sebaiknya memperhatikan batas waktu penyimpanan untuk masing-masing pemeriksaan apus darah tepi harus diperiksa dalam waktu kurang dari 2 jam (Cinthia, 2018).…”

Section: Pendahuluanunclassified

Gambaran Ukuran Eritrosit Pada Sampel Darah EDTA Berdasarkan Waktu Penyimpanan Sampel Selama 1 Jam, 2 Jam Dan 2 Jam 30 Menit

Syarif Al-Qadri Indra,

Siti Khadijah,

Asdinar

et al. 2022

JMLT

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Perubahan biomekanik eritrosit selama penyimpanan antara lain ialah perubahan bentuk, deformabilitas, fragilitas osmotik, kemampuan untuk agregasi, dan viskositas intraseluler. Tujuan dari penelitian ini untuk mengetahui gambaran ukuran eritrosit pada sampel darah EDTA berdasarkan waktu penyimpanan sampel selama 1 jam, 2 jam dan 2 jam 30 menit. Desain penelitian yang digunakan adalah exsperimen laboratory dengan melihat gambaran ukuran eritrosit berdasarkan lama penyimpanan sampel darah EDTA selama 1 jam, 2 jam dan 2 jam 30 menit. sampel sebanyak 5 responden dengan tehnik sampling non random sampling. Hasil penelitian bahwa Terdapat perbedaan ukuran pada sampel darah yang disimpan selama 1 jam jika dibandingkan dengan kontrol yaitu pada sampel darah yang disimpan selama 1 jam terlihat membengkak sehingga ukurannya lebih besar dibandingkan dengan kontrol. Pada sampel yang didiamkan selama 2 jam memiliki ukuran eritrosit yang lebih besar dari kontrol dan sampel yang didiamkan selama 1 jam begitupun dengan sampel yang didiamkan selama 2 jam 30 menit ukuran eritrositnya lebih besar dari kontrol dan sampel yang didiamkan selama 1 jam dan 2 jam. Kesimpulan dari penelitian ini bahwa ukuran eritrosit yang disimpan selama 1 jam, 2 jam dan 2 jam 30 menit dengan menggunakan antikoagulan K3EDTA memilki ukuran erirosit yang lebih besar daripada kontrol. Semakin lama sampel darah didiamkan maka eritrosit akan semakin membengkak dan ukurannya akan semakin besar.

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Section: Pendahuluanunclassified

Gambaran Ukuran Eritrosit Pada Sampel Darah EDTA Berdasarkan Waktu Penyimpanan Sampel Selama 1 Jam, 2 Jam Dan 2 Jam 30 Menit

Syarif Al-Qadri Indra,

Siti Khadijah,

Asdinar

et al. 2022

JMLT

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“…There are five types of white blood cells, namely eosinophils, basophils, neutrophils, lymphocytes, and monocytes [1]. The shape and characteristics of white blood cells vary [2].…”

Section: Introductionmentioning

confidence: 99%

Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction

Musliman

Fadlil

Yudhana

2021

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In various disease diagnoses, one of the parameters is white blood cells, consisting of eosinophils, basophils, neutrophils, lymphocytes, and monocytes. Manual identification takes a long time and tends to be subjective depending on the staff's experience, so the automatic identification of white blood cells will be faster and more accurate. White blood cells are identified by examining a colored blood smear (SADT) and examined under a digital microscope to obtain a cell image. Image identification of white blood cells is determined through HSV color space segmentation (Hue, Saturation Value) and feature extraction of the Gray Level Cooccurrence Matrix (GLCM) method using the Angular Second Moment (ASM), Contrast, Entropy, and Inverse Different Moment (IDM) features. The purpose of this study was to identify white blood cells by comparing the classification accuracy of the K-nearest neighbor (KNN), Naïve Bayes Classification (NBC), and Multilayer Perceptron (MLP) methods. The classification results of 100 training data and 50 white blood cell image testing data. Tests on the KNN, NBC, and MLP methods yielded an accuracy of 82%, 80%, and 94%, respectively. Therefore, MLP was chosen as the best classification model in the identification of white blood cells.

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Blood Smear Profile of Patients With Dengue Hemorrhagic Fever in Bali Royal Hospital

2021

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Background: Each year, dengue hemorrhagic fever has grown. Clinical hematological examinations and blood preparations are used to confirm the diagnosis. Purpose: To detect, assess and characterize dengue hemorrhagic fever blood smear at Bali Royal Hospital. Method: Cross-sectional descriptive observational study-was conducted in April at Bali Royal Hospital on 37 patients with dengue hemorrhagic fever, clinical hematological tests and the manufacture of blood preparations identified using inclusion and exclusion criteria. Platelet counts, hemoglobin levels, hematocrit values, leukocyte counts, clinic degrees, gender and age, and blue plasma lymphocytes, are all used in hematological analyzed by univariate, ANOVA and BNT tests to analyze data. Result: Patients with dengue hemorrhagic fever are mostly toddlers and children (35.13%), women (54.0%), and dengue fever degree I (64.86%) with positive blue plasma lymphocytes (51.36%). Platelet counts, hemoglobin levels, hematocrit values, and leukocyte counts are significantly changed on days 3, 6, and 9, with probability values (p=0.000) less than p=0.01. The findings of the BNT test indicate that the number of platelets and haemoglobin on various days is significantly different (p<0.01), but the hematocrit value and leukocyte calculation are not significantly different (p>0.01). Conclusion: Clinical hematological tests and blood preparations reveal a blood component anomaly in Dengue Haemorragic Fever (DHF) patients at Bali Royal Hospital on days 3, 6, and 9.

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Penentuan Kriteria Penilaian Kesan Jumlah Leukosit Pada Pemeriksaan Apusan Darah Tepi

Cited by 3 publications

References 0 publications

Gambaran Ukuran Eritrosit Pada Sampel Darah EDTA Berdasarkan Waktu Penyimpanan Sampel Selama 1 Jam, 2 Jam Dan 2 Jam 30 Menit

Gambaran Ukuran Eritrosit Pada Sampel Darah EDTA Berdasarkan Waktu Penyimpanan Sampel Selama 1 Jam, 2 Jam Dan 2 Jam 30 Menit

Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction

Blood Smear Profile of Patients With Dengue Hemorrhagic Fever in Bali Royal Hospital

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