Analisa Kelayakan Tarif Angkutan Umum Dalam Kota Kupang

Penentuan besaran tarif angkutan membutuhkan penanganan dan kebijakan yang arif karena dapat menjembatani kepentingan penumpang selaku konsumen dan pengusaha selaku operator angkutan umum. Penelitian ini bertujuan untuk mengetahui Biaya Operasi Kendaraan (BOK) dan tarif yang layak diberlakukan untuk trayek angkutan umum Kota Kupang dengan jarak terpendek dan jarak terpanjang. Trayek Terminal Kupang-Penfui adalah trayek angkutan Kota Kupang dengan jarak terpanjang (28,30 km) yang melayani kawasan pertokoan, pendidikan dan kawasan Perumahan, sedangkan trayek Terminal Kupang-Perumnas merupakan trayek angkutan kota dengan jarak terpendek (7,68 km) yang melayani kawasan pendidikan dan Perumahan. Kedua trayek ini memiliki penentuan tarif angkutan yang sama yaitu Rp 2000,- untuk pelajar dan Rp 3000,- untuk masyarakat umum. Analisa BOK dan kelayakan tarif dilakukan dengan metode perhitungan berdasarkan Keputusan Direktur Jenderal Perhubungan Darat Nomor: SK.687/AJ.206 /DRJD/2002 tentang Pedoman Teknis Penyelenggaraan Angkutan Penumpang Umum di Wilayah Perkotaan Dalam Trayek Tetap dan Teratur. Hasil analisa BOK untuk trayek Terminal Kupang-Penfui sebesar Rp 2.165,42/penumpang dan tarif yang layak diberlakukan sebesar Rp 2.381,96/penumpang, sedangkan BOK untuk trayek Terminal Kupang-Perumnas sebesar Rp 1.956,31/penumpang dan tarif yang layak diberlakukan sebesar Rp 2.151,94/penumpang. Determining the amount of transport fares require wise policy for it can bridge the interests of passengers as consumers and businessman as public transport operators. This study aims to determine the Vehicle Operating Cost (VOC) and the decent fares applied in Kupang City for the shortest and the longest route. The route of Terminal Kupang-Penfui is the longest ones that has a distance of 28.30 km, that serves the shopping area and the educational and residential areas; while the route of Terminal Kupang-Perumnas is the shortest route (7.68 km) which serves educational and residential area. Nowadays these two routes have the same transport fares is Rp. 2000, - for students and Rp 3,000, - for public in general. VOC and feasibility fare analysis conducted by the method of the Directorate General of Land Transportation No. SK.687/AJ.206/DrJD/2002. The VOC analysis results for Terminal Kupang-Penfui route is Rp. 2165.42 / passenger and the decent fare imposed is Rp. 2381.96 / passenger; while the VOC for Terminal Kupang-Perumnas is Rp 1956.31 / passenger and the decent fare imposed is Rp. 2151.94 / passenger

Enhanced production of amidase from Rhodococcus erythropolis MTCC 1526 by medium optimisation using a statistical experimental design

In the present work, statistical experimental methodology was used to enhance the production of amidase from Rhodococcus erythropolis MTCC 1526. R. erythropolis MTCC 1526 was selected through screening of seven strains of Rhodococcus species. The Placket-Burman screening experiments suggested that sorbitol as carbon source, yeast extract and meat peptone as nitrogen sources, and acetamide as amidase inducer are the most influential media components. The concentrations of these four media components were optimised using a face-centred design of response surface methodology (RSM). The optimum medium composition for amidase production was found to contain sorbitol (5 g/L), yeast extract (4 g/L), meat peptone (2.5 g/L), and acetamide (12.25 mM). Amidase activities before and after optimisation were 157.85 units/g dry cells and 1,086.57 units/g dry cells, respectively. Thus, use of RSM increased production of amidase from R. erythropolis MTCC 1526 by 6.88-fold

Characterization of the Theileria parva sporozoite proteome

East Coast fever is a lymphoproliferative disease caused by the tick-borne protozoan parasite Theileria parva. The sporozoite stage of this parasite, harboured and released from the salivary glands of the tick Rhipicephalus appendiculatus during feeding, invades and establishes infection in bovine lymphocytes. Blocking this initial stage of invasion presents a promising vaccine strategy for control of East Coast fever and can in part be achieved by targeting the major sporozoite surface protein p67. To support research on the biology of T. parva and the identification of additional candidate vaccine antigens, we report on the sporozoite proteome as defined by LC–MS/MS analysis. In total, 4780 proteins were identified in an enriched preparation of sporozoites. Of these, 2007 were identified as T. parva proteins, representing close to 50% of the total predicted parasite proteome. The remaining 2773 proteins were derived from the tick vector. The identified sporozoite proteins include a set of known T. parva antigens targeted by antibodies and cytotoxic T cells from cattle that are immune to East Coast fever. We also identified proteins predicted to be orthologs of Plasmodium falciparum sporozoite surface molecules and invasion organelle proteins, and proteins that may contribute to the phenomenon of bovine lymphocyte transformation. Overall, these data establish a protein expression profile of T. parva sporozoites as an important starting point for further study of a parasitic species which has considerable agricultural impact

A genetic network that suppresses genome rearrangements in Saccharomyces cerevisiae and contains defects in cancers.

Gross chromosomal rearrangements (GCRs) play an important role in human diseases, including cancer. The identity of all Genome Instability Suppressing (GIS) genes is not currently known. Here multiple Saccharomyces cerevisiae GCR assays and query mutations were crossed into arrays of mutants to identify progeny with increased GCR rates. One hundred eighty two GIS genes were identified that suppressed GCR formation. Another 438 cooperatively acting GIS genes were identified that were not GIS genes, but suppressed the increased genome instability caused by individual query mutations. Analysis of TCGA data using the human genes predicted to act in GIS pathways revealed that a minimum of 93% of ovarian and 66% of colorectal cancer cases had defects affecting one or more predicted GIS gene. These defects included loss-of-function mutations, copy-number changes associated with reduced expression, and silencing. In contrast, acute myeloid leukaemia cases did not appear to have defects affecting the predicted GIS genes

Host specificity of pigeonpea wilt pathogen, Fusarium udum.

Of 30 weed spp. collected, 10 yielded F. isolates but none of these was F. udum and none of the spp. tested showed wilt symptoms. None of the 21 crop plants tested in wilt-sick pots and plots developed wilt but leaf drying and defoliation were observed on a few cotton plants in the plots. A pathogenic form of F. udum was isolated from the roots of such plants but these results have not yet been confirmed under field conditions

Predisposing factors for phytophthora blight of pigeonpea

A pigeon pea plot at the ICRISAT Centre, Patancheru, India, was observed daily during the 1987 and 1988 rainy seasons for blight infection (caused by P. drechsleri f.sp. cajani). Disease onset occurred on Jul. 10 and on Aug. 4 in 1987 and 1988, respectively. In both years, infection and subsequent disease development occurred when day temp. were <28°C. Rain was recorded on 7 consecutive days prior to disease onset in 1987 and on 5 of 7 days in 1988. An increase in soil inoculum levels was also associated with a decrease in day temp., higher rainfall and cloudy weathe

Media optimization for biosurfactant production by Rhodococcus erythropolis MTCC 2794: artificial intelligence versus a statistical approach

This paper entails a comprehensive study on production of a biosurfactant from Rhodococcus erythropolis MTCC 2794. Two optimization techniques-(1) artificial neural network (ANN) coupled with genetic algorithm (GA) and (2) response surface methodology (RSM)-were used for media optimization in order to enhance the biosurfactant yield by Rhodococcus erythropolis MTCC 2794. ANN and RSM models were developed, incorporating the quantity of four medium components (sucrose, yeast extract, meat peptone, and toluene) as independent input variables and biosurfactant yield [calculated in terms of percent emulsification index (% EI24)] as output variable. ANN-GA and RSM were compared for their predictive and generalization ability using a separate data set of 16 experiments, for which the average quadratic errors were ~3 and ~6%, respectively. ANN-GA was found to be more accurate and consistent in predicting optimized conditions and maximum yield than RSM. For the ANN-GA model, the values of correlation coefficient and average quadratic error were ~0.99 and ~3%, respectively. It was also shown that ANN-based models could be used accurately for sensitivity analysis. ANN-GA-optimized media gave about a 3.5-fold enhancement in biosurfactant yield