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Abstrak :
This paper describes how supplier evaluation used multi criteria and Confidence Interval Approach at Flavor Company in order to purchase cardboard material supplier. The result of design supplier evaluation six criterion that is seen significant to evaluate supplier by PT MW such: Quality, Delivery, Responsiveness, Flexibility, Relationship, and Cost. The scoring is filled up by the active participant and it is proceed using confidence interval approach method, which is involved purchasing, PPIC, QC, and Packing (warehouse) department. Generally, the best performance supplier are KS and STG. The result of this supplier evaluation can be used as consideration in deciding the order space policies in the supplier for the next period.

Abstrak :
[ABSTRAK
Tujuan dari penelitian ini adalah mengevaluasi akurasi perencanaan dan pemberian perlakuan volumetric modulated arc therapy (VMAT) menggunakan rekomendasi AAPM Task Group (TG) 119 di Departemen Radioterapi MRCCC Siloam Hospitals Semanggi. TG 119 menetapkan dua tes pendahuluan dan lima tes menyerupai kondisi klinis, serta confidence limit (CL) sebagai nilai standar pengujian. Perencanaan intensity modulated radiation therapy (IMRT) dan VMAT dibuat lokal mengikuti preskripsi dosis dan sasaran perencanaan yang ditetapkan oleh TG 119, kemudian hasil perencanaan lokal dibandingkan dengan hasil TG 119. Pengukuran dosis titik dari pemberian perlakuan IMRT dan VMAT pada daerah dosis tinggi dan rendah diukur menggunakan tiga bilik ionisasi dengan volume aktif yang berbeda, sedangkan pengukuran dosis penampang menggunakan detektor 2D array, distribusi dosis penampang dianalisa dengan kriteria indeks gamma 3 %, 3 mm dan 2 %, 2 mm. CL hasil pengukuran dosis titik IMRT pada daerah dosis tinggi dan rendah 1.06 % dan 0.82 % (CC01), 1.19 % dan 1.58 % (CC13), 1.37 % dan 3.02 % (FC65G). Untuk VMAT 1.47 % dan 1.17 % (CC01), 1.71 % dan 1.95 % (CC13), 2.08 % dan 3.96 % (FC65G). Hasil pengukuran menggunakan bilik ionisasi CC01 dan CC13 mampu memenuhi kriteria yang ditetapkan TG 119 dibawah 3 %, sedangkan bilik ioisasi FC65G tidak memenuhi kriteria tersebut. Hasil CL analisa indeks gamma IMRT dengan kriteria gamma 3 %, 3 mm dan 2 %, 2mm sebesar 3.68 dan 11.71 (96.32 % dan 88.29 % pass), sedangkan untuk VMAT sebesar 1.44 dan 6.33 (98.56 % dan 93.67 % pass), kedua hasil indeks gamma tersebut masuk dalam kriteria TG 119 dibawah 12.4. Berdasarkan hasil tersebut, rekomendasi TG 119 dapat diimplementasikan untuk menguji akurasi perencanaan dan pemberian perlakuan VMAT, hasil tersebut juga menunjukkan keakurasian yang cukup dari perencanaan dan pemberian perlakuan VMAT di institusi lokal.

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ABSTRACT
The purpose of this study was to evaluate the accuracy of treatment planning and delivery of Volumetric Modulated Arc Therapy (VMAT) using recommendation of AAPM Task Group (TG) 119 in the Department of Radiotherapy MRCCC Siloam Hospitals Semanggi. TG 119 establishes two preliminary tests and five tests resemble a clinical condition, as well as the confidence limit (CL) as a benchmark data. Dose prescriptions and planning objectives recommended by TG 119 report were followed to generate Intensity Modulated Radiation Therapy (IMRT) and VMAT treatment planning, and then the local planning results compared with the results of TG 119. Point dose measurements were done using three ionization chambers with different active volume at high dose and low dose regions. The planar dose measurements were measured using a 2D detector array and the planar dose distribution was analyzed for percentage of points passing the gamma criteria of 3 %, 3 mm and 2 %, 2 mm. For IMRT plans, the CLs obtained for point dose measurement in areas of high and low doses were 1.06 % and 0.82 % (CC01), 1.19 % and 1.58 % (CC13), 1.37 and 3.02 % (FC65G), whereas a value of 1.47 and 1.17 % (CC01), 1.71 % and 1.95 % (CC13), 2.08 % and 3.96 % (FC65G) for CL VMAT. Point dose measurement results using ion chamber CC01 and CC13 were able to meet the criteria set by TG 119 below 3 %, while for ion chamber FC65G could not meet these criteria. From gamma analysis, CL IMRT for gamma criteria 3 %, 3 mm and 2 %, 2 mm were 3.68 and 11.71 (96.32 % and 88.29 % pass), while for VMAT were 1.44 and 6.33 (98.56 % and 93.67 % pass), gamma index results falls within the criteria TG 119 under 12.4. Based on the results, TG 119 recommendations can be implemented on commissioning VMAT treatment planning and delivery, these results also indicate adequate accuracy of VMAT treatment planning and delivery in local institution, The purpose of this study was to evaluate the accuracy of treatment planning and delivery of Volumetric Modulated Arc Therapy (VMAT) using recommendation of AAPM Task Group (TG) 119 in the Department of Radiotherapy MRCCC Siloam Hospitals Semanggi. TG 119 establishes two preliminary tests and five tests resemble a clinical condition, as well as the confidence limit (CL) as a benchmark data. Dose prescriptions and planning objectives recommended by TG 119 report were followed to generate Intensity Modulated Radiation Therapy (IMRT) and VMAT treatment planning, and then the local planning results compared with the results of TG 119. Point dose measurements were done using three ionization chambers with different active volume at high dose and low dose regions. The planar dose measurements were measured using a 2D detector array and the planar dose distribution was analyzed for percentage of points passing the gamma criteria of 3 %, 3 mm and 2 %, 2 mm. For IMRT plans, the CLs obtained for point dose measurement in areas of high and low doses were 1.06 % and 0.82 % (CC01), 1.19 % and 1.58 % (CC13), 1.37 and 3.02 % (FC65G), whereas a value of 1.47 and 1.17 % (CC01), 1.71 % and 1.95 % (CC13), 2.08 % and 3.96 % (FC65G) for CL VMAT. Point dose measurement results using ion chamber CC01 and CC13 were able to meet the criteria set by TG 119 below 3 %, while for ion chamber FC65G could not meet these criteria. From gamma analysis, CL IMRT for gamma criteria 3 %, 3 mm and 2 %, 2 mm were 3.68 and 11.71 (96.32 % and 88.29 % pass), while for VMAT were 1.44 and 6.33 (98.56 % and 93.67 % pass), gamma index results falls within the criteria TG 119 under 12.4. Based on the results, TG 119 recommendations can be implemented on commissioning VMAT treatment planning and delivery, these results also indicate adequate accuracy of VMAT treatment planning and delivery in local institution]

Abstrak :
Penelitian ini dilakukan untuk memvalidasi Coefficient of Variation sebagai alat ukur yang memenuhi kriteria uji Goodness of Fit dengan menggunakan prosedur uji analisis sensitivitas yaitu Morris dan Fourier Amplitude Sensitivity Test (FAST) sebagai pembanding. Penelitian ini dilakukan dengan bantuan perangkat lunak MATLAB® vR2020b dan GraphPad Prim 8 menggunakan data sekunder berupa data farmakokinetik 63 pasien yang melakukan terapi radiomolekuler ginjal dengan menggunakan radiofarmaka 177Lu-PSMA-617. Pengujian diawali dengan seleksi model terbaik dari hasil fitting 12 fungsi SOE menggunakan pemodelan NLME yang memenuhi kriteria Goodness of Fit (visualisasi grafis dan %CV) dan seleksi model AICc. Selanjutnya melakukan analisis sensitivitas parameter dari masing-masing fungsi fitting menggunakan metode Morris dan FAST sebagai pembanding. Diperoleh final model dari hasil analisis sensitivitas sama dengan final model yang memenuhi kriteria seleksi model Goodness of Fit dan AICc yaitu fungsi f6a. Dari hasil penelitian ini, diperoleh korelasi %CV dengan indeks sensitivitas uji Morris dan FAST penting dalam seleksi model dilihat dari koefisien gradien fungsi fitting yang memiliki korelasi positif yaitu pada fungsi f5a, f6b dan f6d. Pada penelitian ini, fungsi fitting f6d terpilih sebagai threshold karena memiliki hubungan positif secara statistik menggunakan regresi linier dan tidak memenuhi batas acceptable %CV<50%. Disimpulkan pada penelitian ini bahwa %CV masih menjadi parameter estimasi penting kriteria Goodness of Fit dalam seleksi model berdasarkan hasil analisis dari uji sensitivitas. ......This study was conducted to validate the Coefficient of Variation as a measuring instrument that meets the Goodness of Fit test criteria by using sensitivity analysis test procedures, namely Morris and Fourier Amplitude Sensitivity Test (FAST) as comparisons. This study was conducted with the help of MATLAB® vR2020b and GraphPad Prim 8 software using secondary data in the form of pharmacokinetic data of 63 patients who underwent renal radiomolecular therapy using radiopharmaceutical 177Lu-PSMA-617. The test begins with the selection of the best model from the results of fitting 12 SOE functions using NLME modeling that meets the Goodness of Fit criteria (graphic visualization and %CV) and AICc model selection. Next, perform parameter sensitivity analysis of each fitting function using the Morris and FAST methods as a comparison. The final model obtained from the results of sensitivity analysis is the same as the final model that meets the selection criteria of the Goodness of Fit and AICc models, namely the f6a function. From the results of this study, the correlation of %CV with the sensitivity index of the Morris test and FAST is important in model selection seen from the gradient coefficient of the fitting function which has a positive correlation, namely f5a, f6b and f6d. In this study, the fitting function f6d was chosen as the threshold because it has a statistically positive relationship using linear regression and does not meet the acceptable limit of %CV<50%. It was concluded in this study that %CV is still an important estimation parameter of Goodness of Fit criteria in model selection based on the results of analysis from sensitivity tests.

Abstrak :
This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.