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"ABSTRAKTugas akhir ini dibuat berdasarkan studi kasus sebuah'perusahaan manufaktur yang bemama PT. Arhapro. Proses produksi yang ada pada pabrik perusahaan ini adalah proses produksi yang bersifat process layout dengan tenaga kerja yang relatif sedikit dan biaya overhead yang tinggi. Perbandingan antara biaya-biaya langsung dengan biaya-biaya tidaklangsung atau overhead berkisar antara 1 banding 5. Melihat fakta-fakta di atas, maka yang hendak dilakukan dalam tugas akhir ini adalah menerapkan metode alokasi biaya activitybased costing (ABC) untuk melakukan alokasi biaya-biaya overhead pabrik. Data-data yang diperlukan dalam penerapan metode ini antara lain adalah jenis-jenis produk yang diliasilkan, job description, biaya overhead selama tahun 2000, data-data yang berkeiitaii dengan produksi pabrik perusahaan selama tahun 2000, dan data-data keorganisasian pabrik perusahaan. Semua data telah tersedia di pabrik perusahaan. Pengolahan data dilakukan dengan terlebih dahulu mengalokasikan biaya overhead kepada aktivitas-aktivitas pabrik perusahaan. Alokasi biaya overhead dilakukan dengan secara langsung mengalokasi suatu pool biaya kepada suatu aktivitas atau dengan menggunakan pemacu biaya sebagai basis alokasi biaya. Lalu aktivitas-aktivitas tersebut dikelompokkan ke dalam 4 tingkat aktivitas. Setiap kelompok inemiliki pemacu biayanya sendiri, dan berdasarkan pemacu biaya ini biaya masing-masing kelompok aktivitas dialokasilvan kepada obyek-obyek biaya yang telah diidentifikasikan. Hasil akhir berupa hasil alokasi biaya overhead pabrik kepada obyek-obyek biaya yang ditetapkan. Dipaparkan juga analisa smgkat mengenai konsumsi biaya oleh aktivitasaktivitas yang ada dan juga oleh obyek-obyek biaya.ABSTRACTThis final assignment was made based on a case study in a manufacturing company by the name ofPT. Arhapro. The production process is a process layout production process with relatively small amount of labour and a very high amount of overhead cost. The odds between direct manufacturing cost and indirect manufacturing cost or overhead cost is roughly J to 5. Based on these facts, the purpose of this final assignment is to implement activity-based costing method to allocate the factory's overhead The data needed to implement this method are product types, job description, overhead cost in the year 2000, data and information relating to factory's production in the year 2000, and data relating to factory's organizational structure. All of these data are available in the company's factory. Data processing was done by first allocating the overhead costs into factory's activities. Overhead costs allocation M'as done by directly allocating a cost pool into an activity or by using cost drivers as cost allocation bases for a cost pool. Activities are then grouped into 4 levels of activities. Each group has a unique cost driver that is used as the cost allocation base in allocating the activities costs into cost objects that has before been identified. The final result is the allocation offactory's overhead into determined cost objects. A short analysis concerning the consumption of costs by activities and by cost objects is also presented in the end of chapter 4."

"ABSTRAKThis study aims to determine the effect of temporary syirkah funds, the size of the board of commissioners, board meeting, size of the board of directors, a board of directors meeting, the size of the sharia supervisory board, sharia supervisory board meetings, and sharia maqasid performance in Islamic banking in Indonesia. In this study explanatory methods are used. The variables studied were temporary syirkah fund, board size, a board of commissioners meeting, board size, a board of directors meeting, size of sharia supervisory board, meeting of sharia supervisory board as independent variables and sharia maqasid performance as dependent variables. The population in this study is a Sharia Commercial Bank (BUS). Sample selection technique used judgment sampling and obtained a sample of 6 (six) Islamic banking. Data collection techniques used are document review, namely Islamic banking financial statements. Processing techniques and data analysis used are multiple linear regression analysis, classical assumption test, hypothesis testing, and analysis of the coefficient of determination."

"Teknologi Bioremediasi merupakan teknologi yang belakangan ini digunakan sebagai cara alternatif penanggulangan limbah hidrokarbon . Metode ini menggunakan mikroorganisme bakteri pemecah minyak seperti Pseudomonas aeruginosa untuk mendegradasi senyawa hidrokarbon sehingga dapat memulihkan lingkungan, tanah dan air yang tercemar.Penelitian pengujian ketahanan dan bakteri Pseudomonas aeruginosa ini merupakan bagian dari penelitian Tim Bioremediasi yang dilakukan di Departemen Teknik Gas dan Petrokimia. Penelitian ini dilakukan dengan menggunakan limbah buatan, yang merupakan campuran isooktan dalam air dan bakteri Pseudomonas aeruginosa dalam kultur medium Nutrien Broth (NB) dengan menggunakan teknik pengguncangan. Proses tersebut berlangsung pada kondisi temperatur 35"C, kecepatan shaker 30 rpm dan tekanan 1 aim dengan variasi konsentrasi substrat iso-oktana yang digunakan pada rentang 800 -10000 ppm volum.Secara umum hasil yang diperoleh dalam penelitian ini menunjukkan bahwa semakin tinggi konsentrasi kontaminan, semakin berkurang jumlah massa sel akhir yang dihasilkan, sedang laju pertumbuhan spesifik sel Pseudomonas aeruginosa relalif sama. Pertumbuhan terbaik sel dicapai (rentang kontaminan 800 ppm - 10000 ppm) pada konsentrasi 800 ppm dengan jumlah massa sel akhir sebesar 0,007079 gr/dm . Model pendekatan secara empiris terhadap laju pertumbuhan sel pada penelitian ini mengikuti persamaan lerusalimsky.

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Bioremediation is an alternative way to overcome hydrocarbon waste to restore contaminated water and soil environment. Microorganism such as Pseudomonas aeruginosa had been used to degrade hydrocarbons compounds.

This research is a part of a bioremediation research which was conducted in Gas and Petrochemical Engineering Department. This research was conducted in a nutrient broth (NB) culture medium with shaking technique. The experiment was carried out at 35"C, rotation of 30 rpm and 1 aim pressure with iso-octane concentration variation in the range of 800 - 10000 ppm volume.

The results show that the higher contaminant concentration, the less cell mass production while the specific growth rate of Pseudomonas aeruginosa were at the relative same rate. The highest cell growth rate was obtained at 800 ppm with the number of final cell was 7.08 10 gr/L. The empiric model of specific growth rate of this research is lerusalimsky."

"ABSTRACT

Histone Deacetylase (HDAC) enzymes in the human body play an important role in the transcriptional regulation of gene expression. In the last decade, HDAC inhibitors and activators have been explored and have become known as therapeutic agents for many diseases such as osteodystrophy, neurogenerative disorders, cardiomyopathy, cancer, and diabetes. In recent years, the development of HDAC inhibitors or activators to obtain new potent lead compounds has been conducted using in vitro, in vivo, and in silico methods. Some HDAC family inhibitors and activators have been discovered. But some compounds have limitations such as not selectively binding to one of the HDAC variants. Methods: At present, through bioinformation, HDAC family sequences have been revealed, and some in silico methods such as molecular modelling (homology modelling and pharmacophore modelling), virtual screening, and molecular dynamics are widely used to find and develop new potent and selective compounds. Results: The main utilization of molecular modelling in this work is intended to complete the HDAC structure that partially lacks data regarding its amino acid monomer. Virtual screening methods are helpful in finding the best binding affinity of the test compounds. By molecular dynamic simulation, the temperature, time, and pressure can be adjusted to analyze the hydrogen bond. Conclusion: Combining these in silico approaches will be a more effective and efficient solution in finding new lead compounds for HDAC drug discovery research in the future."

"Aim: to learn the role of docetaxel in non-castrate resistant prostate cancer patient. Methods: literature search was conducted to find relevant study comparing the combination of docetaxel and androgen deprivation therapy (ADT) to ADT alone in non-castrate resistant prostate cancer using PubMed, Cohrane Library, Proquest, EBSCO, and Scopus database. Quality assessment of studies was done using Bond University Rapid Critical Appraisal of a Systematic Review. Results: we found 494 studies from literature search, but only two studies were included in final selection. Based on validity assessment, we chose one study to be discussed further. This study showed that combination of docetaxel and ADT is better than ADT alone in regards of overall survival (HR 0.64; 95% CI 0.55, 0.75; p<0.0001; NNT=3), biochemical progression free survival (HR 0.63; 95% CI 0.57, 0.69; p<0.0001; NNT=2) and clinical progression free survival (HR 0.73; 95% CI 0.64, 0.84; p<0.0001; NNT=2). Benefit of docetaxel and ADT combination was especially seen in high volume disease (HR 0.67; 95% CI 0.54, 0.83; p=0.0003; NNT=3). Conclusion: addition of docetaxel into ADT has beneficial effects in terms of overall survival and progression free survival in patients with non-castrate resistant metastatic prostate cancer."