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"Pada penelitian ini dikembangkan sebuah perangkat lunak yang dapat digunakan untuk melakukan perhitungan ketidakpastian aktivitas dari citra 3-Dimensi hasil pemindaian SPECT. Perangkat lunak ini melakukan kuantifikasi count rate dari citra 3-Dimensi menjadi nilai aktivitas dan nilai ketidakpastian aktivitas. Algoritma dirancang dengan melakukan propagasi ketidakpastian menggunakan the law of propagation uncertainty untuk mengkarakterisasi penyebaran sumber kesalahan pada faktor kalibrasi, count Rate, dan Recovery Coefficient. Penerapan analisis ketidakpastian dapat meningkatkan validitas hasil dosimetri dan dapat membantu mengidentifikasi dan mengurangi kesalahan yang bertujuan untuk meningkatkan kemungkinan pengamatan dosis sebenarnya. Menentukan nilai ketidakpastian penting untuk setiap parameter yang diukur untuk menghindari adanya overdose treatment dan underdose treatment yang diberikan untuk pasien. Perangkat lunak yang dirancang menggunakan Bahasa pemrograman MATLAB. Validasi dilakukan dengan membandingkan hasil kuantifikasi recovery coefficient oleh perangkat lunak dengan hasil referensi pada penelitian Gear et al.,2018. Hasil kuantifikasi citra pada penelitian ini berupa aktivitas dan ketidakpastian aktivitas pada organ right kidney sebesar (28,70±18,69%), (31,32±17,14%), (37,35±14,35%), (29,82±17,99%) dan pada organ left kidney (30,03±17,85%), (45,41±11,81%), (37,17±14.44%), (30,02±17,86%) aktivitas yang didapatkan berupa satuan MBq.

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In this research, a software is developed that can be used to calculate the activity uncertainty of 3-Dimensional SPECT scanned images. This software performs quantificationcount ratefrom 3-Dimensional image into activity value and activity uncertainty value. The algorithm is designed by performing uncertainty propagation usingthe law of propagation uncertainty to characterize the spread of the error source on the calibration factor, count rate, and Recovery Coefficient. The application of uncertainty analysis can increase the validity of dosimetry results and can help identify and reduce errors in order to increase the likelihood of true dose observations. Determine the value of the important uncertainty for each measured parameter to avoid the presence ofoverdose treatment and underdose treatment given to the patient. Software designed using the MATLAB programming language. Validation is done by comparing the results of quantification recovery coefficient by software with reference results by Gear et al., 2018. The results of image quantification in this study are in the form of activity and uncertainty of activity in organs right kidney by (28.70±18.69%), (31.32±17.14%), (37.35±14.35%), (29.82±17.99%) and in left kidney (30.03±17.85%), (45.41±11.81%), (37.17±14.44%), (30.02±17.86%) the activity obtained is in MBq units."

"Menentukan dosis serap dengan menggunakan metode yang sering digunakan yaitu fixed dose dapat menghasilkan nilai error yang cukup tinggi yang dapat berakibat fatal kepada pasien. Sementara metode dosimetri dapat meminimalkan error tersebut dan juga dapat meningkatkan efektivitas dan efisiensi terapi. Namun, dosimetri pada kedokteran nuklir belum banyak diterapkan di Indonesia karena minimnya peralatan dan pengetahuan akan protokol. Kuantifikasi nilai cacahan menjadi aktivitas merupakan tahap awal dari perhitungan dosimetri. Dikarenakan keterbatasan dari fasilitas, perangkat pencitraan gamma camera masih sering digunakan. Oleh sebab itu, pada penelitian ini dikembangkanlah sebuah perangkat lunak yang dapat menguantifikasi nilai cacahan dari citra planar menjadi nilai aktivitas. Perangkat lunak yang dirancang menggunakan bahasa pemrograman MATLAB. Citra yang digunakan sebagai input dari perangkat lunak merupakan citra dari penelitian IAEA CRP E23005 dengan judul Dosimetry in Molecular Radiotherapy for Personalized Patient Treatments (Hidayati et al., 2021). Dilakukan penggambaran region of interest (ROI) untuk beberapa organ yaitu left kidney, right kidney, liver, dan spleen dengan 1, 24,48, 72 jam setelah diinjeksikannya radiofarmaka. Validasi perangkat lunak dilakukan dengan membandingkan hasil kuantifikasi cacahan menjadi aktivitas oleh perangkat lunak dengan nilai hasil kuantifikasi dari referensi yang menggunakan data citra yang sama melalui nilai relative deviation (RD). Adapun nilai relative deviation (RD) yang didapatkan paling tinggi bernilai sekitar 8% apabila diamati berdasarkan variasi organ dan juga berdasarkan variasi time-point. Uji statistik dengan korelasi Pearson dilakukan untuk mengetahui lebih lanjut hubungan antara kedua data aktivitas. Didapatkan nilai koefisien korelasi untuk organ left kidney, right kidney, liver, dan spleen secara berurutan adalah 0,99739, 0,99687, 0,99687, 0,99687. Hal ini berarti bahwa terdapat korelasi kuat positif antara aktivitas yang didapatkan melalui perangkat lunak yang dirancang dengan data aktivitas pada referensi dan perangkat lunak ini dapat digunakan sebagai alternatif untuk kebutuhan kuantifikasi nilai cacahan menjadi aktivitas pada citra planar.

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Determining the value of absorbed dose using the method that is often used, namely fixed dose can produce a fairly high error that can be fatal to the patient. Dosimetry method can minimize these errors and can also increase the effectiveness and efficiency of the therapy itself. However, dosimetry has not been implemented many times in Indonesia due to the lack of adequate equipment and knowledge of the protocol. Quantification of count rates into activity values is the first step of dosimetry calculations. Due to the limitations of facilities, the imaging device gamma cameras are still often used. Therefore, in this study a software was developed in which the software can quantify the count rates of planar images into activity values. The software was designed using MATLAB programming language. The images used as input of the software are  planar images from the IAEA CRP E23005 research with the title “Dosimetry in Molecular Radiotherapy for Personalized Patient Treatments” (Hidayati et al., 2021). Region of interests (ROI) were drawn for several organs, namely the left kidney, right kidney, liver, and spleen at 1, 24,48, 72 hours after the injection of the radiopharmaceutical. Validation of the software was done by comparing the results of count rates quantification into activities by the designed software with the value of the quantification results from the reference using the same images in the form of relative deviation (RD) values. The highest relative deviation (RD) value is around 8% when observed based on organ variations and also for time-point variations. Statistical test with Pearson correlation was conducted to find out more about the relationship between the two activity data results. The Pearson correlation coefficient values ​​for the left kidney, right kidney, liver, and spleen organs respectively were 0.99739, 0.99687, 0.99687, 0.99687. This means that there is a strong positive correlation between the activities obtained through the designed software and the activity data on the reference and the designed software can be used as an alternative for quantifying count rates of planar images ​​into activity values. "

"Latar Belakang: Prolaps Organ Panggul (POP) dikelompokkan menjadi prolaps dinding anterior, posterior dan puncak vagina. 40% wanita dengan POP dinding anterior vagina memiliki elongasio serviks yang akan mempengaruhi tatalaksana pembedahan POP. Terdapat beberapa alat untuk mengukur panjang serviks, diantaranya Pelvic Organ Prolapse Quantifications System (POP-Q), dengan mengukur perbedaan titik C dan D. Sampai saat ini belum terdapat penelitian yang menguji sensitivitas, spesifisitas dan akurasi pemeriksaan POP-Q dalam mengukur panjang serviks untuk mendiagnosis elongasio serviks pada pasien POP. Tujuan: Diketahuinya nilai sensitivitas, spesifisitas dan akurasi POP-Q untuk menilai panjang serviks sebagai diagnosis elongasio serviks pada pasien POP dengan baku emas pengukuran anatomi serviks dari hasil histerektomi. Metode: Uji diagnosis, potong lintang, consecutive sampling. Data diambil dari pemeriksaan POP-Q dan pengukuran anatomi serviks dari hasil histerektomi. Hasil: 66 subjek, 1.5% POP derajat 2, 45.5% POP derajat 3 dan 53.0 % POP derajat 4. Rerata (± sb) usia dan indeks massa tubuh (IMT) berturut-turut 59.88 tahun (± 9.347) dan 24.41 (± 3.67) kg/m2. Median (min-maks) PS POPQ dan PS Anatomi berturut-turut 4 cm (1-12) dan 5 cm (3-10). Sensitivitas, Spesifisitas dan Akurasi POP-Q berturut-turut 79%, 58% dan 68%. Kesimpulan: Pemeriksaan POPQ memiliki spesifitas yang baik (79%) tetapi dengan sensitivitas yang kurang baik (58%) dan akurasi 68% untuk diagnosis elongasio serviks pada prolaps organ panggul.

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Background: Pelvic Organ Prolapse (POP) categorized as anterior, posterior and apical prolapse. 40% women with anterior POP have cervical elongation. Cervical elongation will make difference in surgical POP treatment. There are several tool for measure cervical length, one of them is Pelvic Organ Prolapse Quantifications System (POP-Q), by measure difference in point C and D. Until now, there is no research to measure sensitivity, specificity and accuracy of POP-Q to measure cervical length for cervical elongation diagnose in POP patients. Objective: To know sensitivity, specificity and accuracy of POP-Q to measure cervical length for cervical elongation diagnose in POP patients with gold standard was anatomical cervical length from hysterectomy result. Methode: Diagnosis research, cross sectional, consecutive sampling. POP-Q was taken before operation and anatomi cervical length was from hysterectomy result. Result: 66 subject, 1.5% 2nd degree POP, 45.5% 3rd degree POP, and 53.0 % 4th degree POP. Mean (± sd) age and body mass index consecutively 59.88 years (± 9.347) and 24.41 (± 3.67) kg/m2. Median (min-max) cervical length POP-Q and anatomy consecutively 4 cm (1-12) and 5 cm (3-10). Sensitivity, Spesifisity dan Accuracy POP-Q consecutively 79%, 58% dan 68%. Conclussion: POPQ has good specificity (79%) but with less sensitivity (58%) with accuracy 68% to diagnose cervical elongation in POP."

"This book systematically explains the fundamentals of system-level electromagnetic compatibility and introduces the basic concept of system-level electromagnetic compatibility quantification design. The topics covered include the critical technologies in the top-down quantification design of electromagnetic compatibility, quantification design of system-level electromagnetic compatibility, evaluation methods and application examples, quality control and application examples of electromagnetic compatibility development process, and real-world engineering example analysis of electromagnetic compatibility.The book proposes a top-down system-level electromagnetic compatibility quantification design method and is the first book to describe in detail how to quantitatively evaluate and predict system-level electromagnetic compatibility performance. It includes abundant engineering examples and experimental data demonstrating the usage and results of the top-down quantification design methods of system-level electromagnetic compatibility.It enables readers to obtain a thorough understanding of the theory and methods of system-level electromagnetic compatibility quantification design as well as the methodologies for engineering practice."

"Virus SARS-CoV-2 atau Severe Acute Respiratory Syndrome Coronavirus 2 adalah virus yang telah menyebabkan penyakit COVID-19. Sampai saat ini tindakan untuk kasus COVID-19 masih dilakukan dengan diagnosis cepat secara kualitatif untuk menilai adanya virus SARS-CoV-2 pada pasien yang ditujukan untuk mencegah penyebaran penyakit tersebut, sehingga dibutuhkan perkembangan diagnosis secara kuantitatif untuk mengetahui jumlah virus SARS-CoV-2 yang dapat bermanfaat untuk menilai respons terapi pada pasien COVID-19 maupun untuk studi penemuan obat antivirus SARS-CoV-2. Pada penelitian ini dikembangkan metode kuantifikasi virus SARS-CoV-2 dengan menggunakan in vitro transcribed RNA SARS-CoV-2 dengan target gen N menggunakan primer N158 yang diketahui dapat mendeteksi varian alpha, beta, delta dan omicron sekuens isolat Indonesia. Metode yang dilakukan yaitu plasmid p-Bluescript yang mengandung gen N158 ditransformasikan ke dalam sel E. coli BL21(DE3), kemudian sel transforman diperbanyak di dalam media pertumbuhan dan dipurifikasi untuk diambil plasmid yang mengandung gen N. Plasmid kemudian dilinearisasi, ditranskripsi dan dipurifikasi untuk memperoleh RNA standar. RNA standar yang diperoleh kemudian dihitung konsentrasinya menggunakan Spektrofotometer UV-Vis NanoDrop untuk memperoleh nilai copy number/μL dan dilakukan pengenceran serta one-step RT-qPCR untuk memperoleh nilai Ct pada tiap konsentrasi pengenceran. Nilai-nilai tersebut kemudian digunakan untuk membuat kurva standar nilai Ct vs log copy number. Kurva standar RNA diperoleh dengan persamaan y = -3,29x + 41,34 (R2 = 0,9972) dan efisiensi PCR sebesar 101,2%. Kurva standar RNA yang dibuat telah memenuhi syarat akseptabilitas kurva standar PCR

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SARS-CoV-2 or Severe Acute Respiratory Syndrome Coronavirus 2 is a virus that causing COVID-19 disease. Until now, the action for COVID-19 cases are being carried by qualitative rapid diagnosis to assess the presence of SARS-CoV-2 virus in patients that lead to prevent the spread of COVID-19 disease, therefore the development of diagnosis is needed to determine the viral load of SARS-CoV-2 which can be useful for assessing response of therapy in COVID-19 patients and for drug screening of antiviral for SARS-CoV-2 studies. This study developed a quantification method for SARS-CoV-2 virus using in vitro transcribed SARS-CoV-2 RNA targeting N gene with N158 primer that known can detect alpha, beta, delta and omicron varian from sequences of Indonesian isolates. The method using pBluescript plasmid that contain N158 gene is transformed to E. coli BL21(DE3) cells, then transformans cell is amplified in growth medium and purified to get the plasmid containing N gene, the plasmid then linearized, transcribed and purified to get standard RNA. Using a Spectrophotometer UV-Vis NanoDrop, the concentration of standard RNA is obtained and the copy number/ μL can be calculated. The RNA standard is diluted and quantified by one-step RT-qPCR to know the Ct value at different concentrations. Ct value vs log copy number standard curve is constructed and the equation of RNA standard curve y = -3,29x + 41,34 (R2 = 0,9972) is obtained with percentage of PCR efficiency 101,2%. Thus, the RNA standard curve is qualified PCR standard curve."

"Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models; Uncertainty Propagation in Structural Dynamics;Practical Applications of MVUQ; Advances in Model Validation & Uncertainty Quantification: Model Updating; Model Validation & Uncertainty Quantification: Industrial Applications; Controlling Uncertainty; Uncertainty in Early Stage Design; Modeling of Musical Instruments; Overview of Model Validation and Uncertainty."

"Latar Belakang: Remaja adalah salah satu kelompok populasi yang paling terpengaruh dalam tiga beban malnutrisi di Indonesia. Berbagai penelitian telah membuktikan hubungan antara status nutrisi dengan kesehatan gigi mulut. Penelitian dalam kariologi belakangan ini banyak mengeksplorasi bakteri Veillonella terkait interaksinya dengan Streptococcus dalam pembentukan biofilm. Tujuan: Penelitian ini bertujuan untuk menganalisis hubungan antara indeks massa tubuh (IMT) dan status kesehatan gigi mulut, laju alir saliva dan kuantifikasi relatif bakteri Veillonella parvula dalam saliva. Metode: Desain penelitian ini adalah potong lintang analitik, dengan subyek 49 anak laki-laki dan 52 perempuan direkrut dari sebuah Pesantren SMP di Depok, Jawa Barat untuk dilakukan pemeriksaan gigi mulut, status antropometri berat badan, tinggi badan dan IMT serta pengambilan saliva tanpa stimulasi untuk perhitungan laju alir saliva. Kuantifikasi bakteri relatif dilakukan dengan metode RT-PCR untuk mengidentifikasi bakteri V parvula. Hasil: Terdapat korelasi positif lemah antara IMT dan kuantifikasi relatif bakteri V parvula (r= 0.2, p=0.04), namun tidak ditemukan korelasi bermakna antara IMT dan indeks plak serta IMT dan laju alir saliva tanpa stimulasi. Kesimpulan: Terdapat korelasi lemah bermakna antara IMT dan kuantifikasi relatif V parvula, sementara itu terdapat korelasi lemah dan tidak bermakna antara IMT dan indeks plak maupun IMT dan laju alir saliva. Penelitian berikutnya perlu mengeksplorasi hubungan IMT dengan berbagai parameter status kesehatan gigi mulut dengan mempertimbangkan berbagai faktor risiko perancu dan mengidentifikasi spesies-spesies Veillonella lainnya.

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Background: Until recently, the triple burden of malnutrition remains a major health issue in Indonesia and adolescents are one of the most affected population. Oral cavity is the main gate of the digestive system and studies have shown the association between nutritional status and oral health. Objectives: This study aimed to analyze the correlation between body mass index and oral health status, unstimulated salivary flow rate and relative quantification of Veillonella parvula in saliva. Method: In a cross-sectional study design, 49 male and 52 female students aged 12-14 year-old were recruited from an Islamic Boarding School in Depok, West Java and clinically examined for the Greene and Vermillion’s debris index. The unstimulated salivary flow rate was determined (ml/min). Anthropometric examinations were carried out for body weight, body height and body mass index per age according to the standards from Ministry of Health Regulations. Real-time polymerase chain reaction was used to quantify the presence of Veillonella parvula. Results: There is a significant correlation between BMI and relative expression of salivary Veillonella parvula (r= 0.2, p=0.04), however no correlations were found between BMI and OH status, and BMI and unstimulated salivary flow rate. Conclusion: This study demonstrated that there is no linear relationship between BMI and salivary flow rate and/or OH status, however a weak but significant correlation was found between BMI and salivary V parvula. Further studies are needed to investigate relationships between BMI and other nutrition parameters with oral health indicators in the adolescent populations, while considering other Veillonella species."

"This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable optimization), with a special emphasis on aeronautics and turbomachinery, although not limited to these fields. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods. It includes methods for characterization of most influential uncertainties, as well as formulations for robust and reliable design optimization. A distinctive element of the book is the unique collection of test cases with prescribed uncertainties, which are representative of the current engineering practice of the industrial consortium partners involved in UMRIDA, a level 1 collaborative project within the European Commission's Seventh Framework Programme (FP7). All developed methods are benchmarked against these industrial challenges. Moreover, the book includes a section dedicated to Best Practice Guidelines for uncertainty quantification and robust design optimization, summarizing the findings obtained by the consortium members within the UMRIDA project. All in all, the book offers a authoritative guide to cutting-edge methodologies for uncertainty management in engineering design, covers a wide range of applications and discusses new ideas for future research and interdisciplinary collaborations."

"Penilaian efektivitas pengolahan air/air limbah dan emisi gas rumah kaca memerlukan analisis kelayakan mikroba dan kuantifikasi/identifikasi taksonomi mikroba yang ekstensif. Kemampuan kelayakan dan penilaian aktivitas mikroba akan memerlukan pengembangan metode berbasis fluoresensi, sementara kemampuan kuantifikasi/identifikasi akan menyelidiki analisis otomatis dengan citra sel, sitometri aliran, dan kecerdasan buatan untuk pengujian skala besar pada air, air limbah, dan rangkaian pengolahan air daur ulang. Daftar komunitas mikroba target mencakup, namun tidak terbatas pada: (ambang batas) Cyanobacteria, algae, helminth eggs (misalnya telur ascaris yang ditemukan dalam biosolid), patogen indikator dalam air Kelas A, dan metanogen serta seluruh populasi mikroba dalam pencernaan (dengan mempertimbangkan sumbernya). Proyek ini berhipotesis bahwa pendekatan pembelajaran mesin yang diawasi dan dipandu pengetahuan dapat digunakan untuk mengidentifikasi mikroba secara akurat dan cepat dalam sampel air produksi yang direkam menggunakan platform analitik berbeda (mikroskopi optik, mikroskopi fluorescence dan imaging flow cytometry). Pendekatan berbasis pembelajaran mesin menggunakan cara komputasi untuk membandingkan gambar mikroba dengan tolak ukur berbagai sel dan filamen untuk mengelompokkannya. Dalam proyek ini, gambar-gambar tersebut dipasok oleh instalasi pengolahan air di Melbourne. Tiga metode pembelajaran mesin yang harus dievaluasi, Segment Anything Model (SAM) pertama kali digunakan untuk mensegmentasi gambar mentah menjadi gambar sel dan filamen individual. Metode pembelajaran mesin RMSE (Root Mean Square Error), UQI (Universal Quality Index) dan SAM (Spectral Angle Mapper) kemudian digunakan untuk menghitung skor kemiripan antara gambar tersegmentasi dan tolak ukur berbagai jenis sel atau filamen. Skor kesamaan tertinggi yang dicapai antara suatu gambar dan suatu tolak ukur menunjukkan bahwa gambar tersebut akan dikelompokkan ke dalam tolak ukur tersebut. Hasil penelitian menunjukkan bahwa hasil tersebut kemudian akan dibandingkan dengan hasil clustering manual, dimana secara manual membandingkan kesamaan antara setiap gambar dan setiap benchmark.

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Assessment of water/wastewater treatment efficacy and greenhouse gas emissions will require extensive analysis of microbial viability and microbial quantification/taxonomic identification. Microbial viability and activity assessment capabilities will require development of fluorescence-based methods, while quantification/identification capabilities will investigate automated analysis with cell imagery, flow cytometry and artificial intelligence for large scale testing at water, wastewater and recycled water treatment trains. List of target microbial communities includes, but not limited to:(threshold) Cyanobacteria, algae, helminth eggs (e.g. ascaris eggs found in biosolids), indicator pathogens in Class A water, and methanogens and whole population of microbe in digestor (considering the sources of bias). This project hypothesises that supervised and knowledge-guided machine learning approaches can be used to accurately and rapidly identify microbes within manufactured water samples recorded using different analytical platforms (optical microscopy, fluorescence microscopy and imaging flow cytometry). Machine learning-based approaches use computational ways to compare images of microbes to benchmarks of different cells and filaments to cluster them. In this project, the images were supplied by a water treatment plant in Melbourne. Three machine learning methods is to be evaluated, Segment Anything Model (SAM) was first used to segment raw images into images of individual cells and filaments. Machine learning methods of RMSE (Root Mean Square Error), UQI (Universal Quality Index) and SAM (Spectral Angle Mapper) were then used to calculate similarity scores between the segmented images and benchmarks of different types of cells or filaments. The highest similarity score achieved between an image and a benchmark indicated that the image would be clustered into that benchmark. The study shows the results would then be compared with manual clustering results, where the it is manually compared the similarities between each image and each benchmark."

"Departemen Quality Control Packaging Material di industri farmasi PT Dankos Farma memastikan mutu bahan pengemas dari berbagai pemasok. Sebagai upaya efisiensi waktu dan kinerja dilakukan analisis dokumen mutu bahan kemas yang direpresentasikan dalam dokumen Material Quality Review (MQR) sehingga setiap bahan kemas dapat disetujui melalui pelulusan berdasarkan Certificate of Analysis (CoA). Panduan pengadaan diperlukan sebagai alat pengendalian persediaan untuk menjaga ketersediaan obat-obatan pada tingkat tertentu, pengadaan yang tidak sesuai dengan pola permintaan pasar menjadi kendala yang tidak dapat diketahui dengan pasti di PBF SamMarie Tramedifa. Di apotek Roxy Sawangan dilakukan analisis Pareto ABC dengan menggunakan data konsumsi sebagai upaya pengontrolan jumlah dan jenis produk serta mengetahui produk obat hipertensi yang harus diprioritaskan ketersediannya di apotek sesuai dengan kebutuhan dan permintaan konsumen. Hasil analisis digunakan sebagai acuan untuk pengadaan periode selanjutnya. Penyusunan dokumen Material Quality Review bahan pengemas di PT Dankos Farma, pengkajian panduan pengadaan alternatif berdasarkan metode kuantifikasi dengan menggunakan data konsumsi obat di PT SamMarie Tramedifa, dan Analisis Pareto ABC obat hipertensi di Apotek Roxy Sawangan. Periode pengerjaan dimulai dari Juli – November 2021.

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Quality Control Department of Packaging Materials in PT Dankos Farma ensures the quality of packaging materials from various suppliers. In an effort to efficient time and performance, an analysis of the packaging material quality document is represented in the Material Quality Review (MQR) document, with the result that each packaging material can be released by Certificate of Analysis (CoA). Procurement guidelines are needed as an inventory control tool to maintain the availability of medicines at a certain level, procurement that is not in accordance with market demand patterns is an obstacle that cannot be known with certainty at PBF PT SamMarie Tramedifa.

At the Roxy Sawangan pharmacy, Pareto ABC analysis was carried out using consumption data to control the number and type of products and to find the type of hypertension drug products that should be prioritized for availability in pharmacies according to consumer needs and demands.

The results of the analysis are used as a reference for the procurement of the next period. Preparation of Material Quality Review documents for packaging materials at PT Dankos Farma, review of alternative procurement guidelines based on quantification methods using drug consumption data at PT SamMarie Tramedifa, and Pareto ABC analysis of hypertension drugs at Roxy Sawangan Pharmacy. The work period starts from July to November 2021."