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Abstrak :
Maraknya penyalahgunaan narkoba di kalangan pelajar dan mahasiswa tentu perlu mendapat perhatian yang serius. Diperlukan sebuah langkah strategis guna mengatasi permasalahan demand ini, salah satunya adalah melalui pendidikan karakter dan pemberian motivasi. Untuk itu, penelitian ini bertujuan untuk melihat pengaruh pendidikan karakter dan motivasi terhadap perubahan perilaku pelajar penyalahguna narkoba. Fokus dalam penelitian ini adalah pelajar SMP Master Kota Depok yang pernah menyalahgunakan narkoba. Penelitian ini menggunakan pendekatan kuantitatif melalui alat ukur berupa 53 item pertanyaan yang tertuang dalam kuesioner, yang dilanjutkan dengan pendekatan kualitatif melalui alat berupa wawancara (mixed-methods explanatory). Sampel yang digunakan dalam penelitian ini berjumlah 34 pelajar menggunakan purposive sampling. Data kuantitatif yang didapat akan diuji dengan uji regresi linear berganda menggunakan aplikasi SPSS 23.0. Data kualitatif yang didapat akan digunakan sebagai pelengkap data kuantitatif. Terdapat dua temuan dalam penelitian ini, dimana temuan pertama didapat bahwa variabel pendidikan karakter dan motivasi memengaruhi variabel perubahan perilaku sebesar 59.7%. Artinya masih ada variabel lain yang juga memengaruhi perubahan perilaku sebesar 40,3%. Melalui pendekatan kualitatif, penulis mencoba menggali variabel lain tersebut dan didapatkan temuan yang kedua bahwa ada variabel dukungan sosial yang juga memengaruhi perubahan perilaku namun belum diketahui seberapa besar variabel dukungan sosial memengaruhi perubahan perilaku.

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The rise of drug abuse among students and students certainly needs serious attention. A strategic step is needed to overcome this demand problem, one of which is through character education and motivation. For this reason, this study aims to see the effect of character education and motivation on changes in behavior of drug abusers. The focus of this research was Depok Middle School students who had abused drugs. This study uses a quantitative approach through measuring instruments in the form of 53 items in the questionnaire, followed by a qualitative approach through mixed-methods explanatory. The sample used in this study amounted to 34 students using purposive sampling. The quantitative data obtained will be tested by multiple linear regression tests using the SPSS 23.0 application. Qualitative data obtained will be used as a complement to quantitative data. There are two findings in this study, where the first finding is that character education and motivation variables influence the behavior change variable by 59.7%. This means that there are still other variables that also affect behavior change by 40.3%. Through a qualitative approach, the author tries to explore other variables and found the second finding that there are social support variables that also influence behavior change but it is not yet known how much the social support variable influences behavior change.

Abstrak :
Telah dilakukan penelitian untuk memperoleh distribusi dosis sumber brakiterapi Ir-192 HDR (High Dose Rate) Mikroselektron Klasik dalam medium air dengan Monte Carlo EGSnrc. Parameter dosis dikalkulasi sesuai dengan rekomendasi AAPM TG 43 seperti: kekuatan kerma udara, konstanta laju dosis, fungsi dosis radial, dan fungsi anisotropi. Hasil kalkulasi diperoleh nilai kekuatan kerma udara (Sk/A) sebesar 9,65 x 10-8 U.Bq-1 dengan nilai konstanta laju dosis (Λ) sebesar 1,121 cGy h-1 U-1. Dalam klinis, brakiterapi umumnya menggunakan distribusi dosis dari multi sumber. Distribusi dosis tersebut sangat ditentukan oleh interval antar sumber. Dengan mengambil referensi dosis di titik sumbu utama pada jarak 1,0 cm dari sumber maka distribusi dosis mulai tidak homogen bila interval antar sumber ≥ 1,5 cm terutama untuk r ≤ 1,0 cm. ......This study presents the results of EGSnrc Monte Carlo calculations of the dose distribution of Ir-192 brachytherapy HDR (High-Dose Rate) Microselectron Classic sources in water medium. Parameters of dose were calculated according to AAPM TG 43 recommendations such as air kerma strength, dose rate constant, radial dose function and anisotropy function. The results of calculations obtained air kerma strength (Sk/A) of 9.65 x 10-8 U.Bq-1 with dose rate constant (Λ) of 1.121 cGy.h-1.U-1. In clinical, brachytherapy generally used dose distribution from multi-sources. The dose distribution is mostly determined by the interval between sources. By taking reference dose at the point of the main axis at a distance of 1.0 cm from the source dose distribution started not homogeneous when the interval between sources ≥ 1.5 cm especially for r ≤ 1.0 cm.

Abstrak :
There are unique challenges in the formulation, manufacture, analytical chemistry, and regulatory requirements of low-dose drugs. This book provides an overview of this specialized field and combines formulation, analytical, and regulatory aspects of low-dose development into a single reference book. It describes analytical methodologies like dissolution testing, solid state NMR, Raman microscopy, and LC-MS and presents manufacturing techniques such as granulation, compaction, and compression. Complete with case studies and a discussion of regulatory requirements.

Abstrak :
This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students. Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.