Optimal Land Use for Rainfall-Runoff Transformation in Wae Ruhu Watershed

Flooding hit the island of Ambon in 2012 and 2013. Many analyzes has been developed to estimate the cause of the flooding. The study aims topredict optimal land management for reducing run-off. The method is simulation of CN value based on spatial analysis on watershed characteristics.The rainfall can\u27t be managed by watershed. The level of run-off can be determined by CN value that depends on the type of land cover. The resultshows that the land cover has changed about 90 ha, with the higher rainfall intensity is 2.118 in 2013. The result of simulation indicated that tochange of shrub and bare land, mix dryland forest, and secondary dryland forest with agroforestry. Agroforestry can decrease run-off amount 0,86%.The change of land cover and high rainfall are the main factors that caused the flooding in 2012 and 2013. It is necessary to add a rainfallobservation station so that the observation of surface flow can be done well

Study of Land Cover Change Using Multi Layer Perceptron and Logistic Regression Methods in Gunung Ciremai National Park

The development of land cover change is important to understand, so that the pattern of future land cover changes can be predicted and its negative impacts can be prevented or reduced. Various modeling approaches have been widely used to analyze land cover changes. The common modeling methods used for analyzing land cover changes are Multi-layer Perceptron (MLP) and Logistic Regression (Logit). This research is designed to assess the accuracy of modeling of land cover change with MLP and Logit methods in Gunung Ciremai National Park. The result indicated that the accuracy of both methods was very good with kappa values were 0,8991 and 0,8989 for MLP and Logit respectively. Therefore, the model can be applied to predict land cover change in Gunung Ciremai National Park in the future

Production and Characterization of Enzyme β-Endoxylanase from Bacteria of Termite-intestinal System

A mesophile bacteria isolated from intestinal systems of local-soil termite, produced an extracellular β-endoxylanase upon growth on xylan. Optimum production of the enzyme was found in media containing oatspelt xylan at 37oC after sixth hours. The activities of its β-endoxylanase on oat-spelt xylan was investigated. It had an optimum pH and temperature, 5.0 and 40o C, respectively. However, pH stability occurred between 5.08.0. The enzyme was stable at 40o C for four hours and possessed a half life of four hours. β-endoxylanase had an apparent molecular mass of 45.000 to 66.200 Dalton as determined by SDS-PAGE. Analysis of zymogram using SDS-Xylan-PAGE indicated that enzymes could degrade oat-spelt xylan as substrates

Pencirian Produksi Amilase oleh Saccaromyces Cerevisiae W303A Rekombinan

Characterization of Amylase Production by Saccharomyces cerevisiae W303A Recombinants. Cloning of amylase gene from Endomycopsis fibuligera ITB.R.cc.64 into S. cerevisiae W303a can effectively increase the yeast function to digest starch directly into ethanol. Production of amylase by S. cerevisiae W303a recombinants (I and P) were done by growing in yeast peptone starch (YPS) medium. The result showed that the recombinants could be produced of amylase by gave clear zone after staining by iodium vapor. The optimum condition of production of amylase by S. cerevisiae W303a recombinants were pH 7.0, 40?C temperature incubation, and gave maximum activity after 36 hours incubation. Amylase activity of I was higher than P recombinant for these condition respectively

Faktor-Faktor Yang Berpengaruh Terhadap Kepuasan Kerja Dan Kinerja Manajer Perusahaan Manufaktur

This research is aimed to expose the effect of some variables on the job satisfaction and the performance of manufacturing company managers. Respondents in this research were the managers of the big scale manufacturing companies in Indonesia. The data in this research were collected through mail quesionares. The data analysis was carried on by regression analysis.The results from the analysis showed that the effect of some variables (budgetary par¬ti¬cipation, budget goal clarity, budgetary feedback, education and job experience) on the job satis¬faction is 49,1 percent. This indicates that 50,9 percent of the job satisfaction is affected by other variables, which were not used in this research.The other results from the analysis showed that the effect of some variables (budgetary participation, budget goal clarity, budgetary feedback, education and job experience) on the per¬formance of manager is 45.5 percent. This indicates that 54.5 percent of the performance of man¬ager is affected by other variables which were not used in this research

Analisis Determinan Kecenderungan Kecurangan Akuntansi di Sektor Publik

The purpose of this research is to determine the effect of effectiveness of internal control systems, compensation systems, and leadership styles to accounting fraud tendencies in Government sectors. The sampling technique used purposive sampling. Data was collected through questionnaire that given directly to officers from accounting or financing department including heads of financial sub section in Sukoharjo Government office. The data obtained were analyzed by using Statistical Package for Social Sciences (SPSS). The results showed that (1) effectiveness of internal control systems had a negative significant affect to accounting fraud tendencies, (2) compensation systems had not significantly but possitive affect to accounting fraud tendencies, and (3) leadership styles had not significantly but negative affect to accounting fraud tendencies

Prediksi Perubahan Tutupan Lahan Dengan Model Markov Chain Dan Ann-markov Di DAS Krueng Aceh (Land Cover Change Prediction Using Markov Chain and Ann-markov Model in Krueng Aceh Watershed)

Prediksi Perubahan tutupan lahan yang baik akan menjadi pertimbangan dalam menentukan strategi pembangunan di masa depan. Terdapat banyak metode dalam melakukan prediksi Perubahan tutupan lahan yang tergantung pada kebutuhan data, algoritma pemodelan yang dilakukan dan output apa saja yang diperlukan. Penelitian ini dilakukan untuk mengkaji model prediksi Perubahan tutupan lahan dari tahun 2007 hingga 2020 di DAS Krueng Aceh. Pendekatan yang dilakukan menggunakan penginderaan jauh dan SIG. Model Markov Chain (MC) dan Artificial Neural Network-Markov (ANN-MC) digunakan untuk memahami dinamika spatio-temporal tutupan lahan. Akurasi dari citra penginderaan jauh yang diklasifikasikan diperoleh dari hasil interpretasi visual pada citra resolusi sedang Landsat OLI tahun 2020 dengan nilai Kappa Accuracy sebesar 84%. Kedua model prediksi menggunakan data tutupan lahan tahun 2007 (T1) dan 2017 (T2) untuk membuat probabilitas Perubahan yang digunakan dalam memprediksi tutupan lahan pada tahun 2020 (T3). Validasi kedua algoritma menunjukkan korelasi yang kuat dengan peta tutupan lahan 2020, hal tersebut membuktikan kehandalan model kedua simulasi (ANN=87,81% dan MC=88,69%)