Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAK

Tujuan utama dari penelitian ini adalah untuk mengestimasi nilai cost effeciency dari produksi padi di Indonesia dengan menggunakan model cost frontier dan untuk mengidentifikasi faktor-faktor yang berhubungan dengan nilai efesiensi biaya dari petani padi. Studi ini menggunakan data cross section pada tahun 2010 dan tahun 2016. Didapat biaya irigasi, pupuk dan tenaga kerja berkontribusi secara signifikan pada cost effeciency dari petani padi. Rata-rata cost effeciency dari produksi padi di tahun 2016 adalah 83 percent, dimana lebih tinggi dibandingkan dengan 2010. Ini mengindikasi  adanya potensial untuk meningkatkan output pado sekitar 17 persen dengan teknologi yang ada. Model menyatakan bahwa lahan yang lebih kecil,  mempunyai jumlah plot yang lebih banyak di lahan, penanaman tiga kali dalam setahun, dan diversifikasi secara signifikan berkontribusi pada cost effeciency di dalam produksi lahan.

---

ABSTRACT

---

The main objectives of the study are to estimate the farm specific cost efficiency of rice production in Indonesia using Cost Frontier model and to identify and measure the impacts of different factors associated with cost efficiency of rice farmers. The study employed farm level cross sectional data for the years 2010 and 2016. Cost of Irrigation, Fertilizer and labor were found to contribute significantly in the cost efficiency of rice farmers. The average cost efficiency of rice production in 2016 is 83 percent, this result is more higher than 2010. This indicates a good potential for increasing rice output by 17 percent with the existing technology. The model claims that smaller land, have more plot in the land, three time crop planting a year, and diversification significantly contribute to cost effeciency in farm production. 

"

"Pada 2009-2018, tingkat Rasio Kecukupan Modal (CAR) di ASEAN-5 sedang dalam tren naik. Sementara itu, efisiensi keuntungan bank dalam tren menurun. Fenomena ini tidak sesuai dengan temuan dari estimasi linear dimana CAR dan efisiensi laba bank memiliki hubungan positif. Penulis kemudian menguji hubungan non-linearitas di bawah hipotesa Expected Bankruptcy Cost. Hipotesis menunjukkan bahwa hubungan antara modal dan kinerja bank adalah positif non-linear atau U terbalik. Skripsi ini menguji apakah dampak CAR terhadap efisiensi laba bank sebagai proksi kinerja bank di ASEAN-5 adalah secara non-linear.Penulis menghitung efisiensi laba bank menggunakan Stochastic Frontier Analysis (SFA). Untuk menguji hubungan antara CAR dan efisiensi laba bank di ASEAN - 5, sistem GMM digunakan. Temuan estimasi non-linear adalah CAR dan efisiensi keuntungan bank di ASEAN - 5 memiliki hubungan non-linier positif atau U terbalik yang sesuai dengan hipotesa Expected Bankruptcy Cost. Di bawah hipotesis, jika modal bank lebih tinggi dari nilai optimalnya, peningkatan modal akan mengurangi kinerja bank. Ini sesuai dengan temuan yang berarti CAR di ASEAN - 5 saat ini sedang di atas nilai optimalnya, oleh karena itu, meningkatkan CAR akan menurunkan efisiensi keuntungan bank.

---

From 2009 – 2018, Capital Adequacy Ratio (CAR) level in ASEAN – 5 is in an uptrend. Meanwhile, bank’s profit efficiency is in a downtrend. This phenomenon doesn’t match the finding from linear estimation that CAR and bank’s profit efficiency has a positive relationship. The author then looks to test for non-linearity relationship under Expected Bankruptcy Cost Hypothesis. The hypothesis shows that the relationship between capital and bank’s performance is positive non-linear or inverted U. This undergraduate thesis test whether the impact of CAR to bank’s profit efficiency as the proxy of bank’s performance in ASEAN – 5 is in a non-linear way.

The author calculates the bank’s profit efficiency using Stochastic Frontier Analysis (SFA). To test the relationship between CAR and bank’s profit efficiency in ASEAN – 5, system GMM is used. The finding of the non-linear estimation is CAR and bank’s profit efficiency in ASEAN – 5 has a positive non-linear or inverted U relationship which correspond with the Expected Bankruptcy Cost Hypothesis. Under the hypothesis, if bank’s capital is higher than its optimum value, increasing capital will reduce bank’s performance. This match with the finding which means that the CAR in ASEAN – 5 is currently above its optimum value, therefore, increasing the CAR will result in the

decrease of bank’s profit efficiency."

"ABSTRACTAlthough its issue could be addressed from of various perspectives over the years, poverty is the object of the government policy programs to be alleviated since the Indonesian independence. With the advancement of technology and science in the recent decades, the availability and the completeness of poverty data in Indonesia getting better. In fact, the policy makers can assess the effectivity of their public oriented programs easier by effectively utilizing the complete and up to date poverty data. However, in various approaches to poverty measurement, the Indonesian poverty data should be accompanied by another approach. This paper aims to evaluate the change of welfare of particular region over a period of several years by using the stochastic dominance method. This method also incorporates the price level impact into its poverty assessment through the extrapolated CPIs. To conduct the measurement, the National Socioeconomic Survey of Tabalong regency data, as well as the Tanjung city inflation in the period from 2013 to 2017, are employed. The results indicate that the welfare in 2017 is better than in 2013 since the distribution in 2017 stochastically dominates the distribution in 2013 at the first and second order at any possible level of poverty lines. Therefore, this result could also be the additional input for the poverty alleviation evaluation in order to provide a solid conclusion about the welfare changes."

"The economic crises attacking Asian regions in the mid of 1997 have brought depressing impacts to Indonesia'a economy. Indonesia experiences a declining share of investment it is even the lowest amongst neighboring countries. Indonesia also ranks the first position in the issue of inefficiency which further discourages investors to invest in indonesia. The study focuses on the issue of efficiency in the manufacturing industry whose shore in the economy tends to increase during 1983-2005 to a higher percentage than in the agriculture and services sectors. The objectives of the study are two-folds, first is to measure the score of efficiency in the manufacturing industry in order to identify which in industries are classified as efficient, moderately efficient, or less efficient. Secondly is to identify whether there is on association between input factor or output degree of protection and the score of inefficiency of a 5-digit'-ISIC industry. The method employs in the study is the stochastic production frontier where efficiency is an explicit function of specifically determining factors. The study finds that wood preservative industry has the highest efficiency score, while garment and textile industry has the lowest. The study also discovers there are more industries with less and moderately efficient classification. Sources of inefficiency are from the high output tariffs, which have potential contributions to high price and less competitive products in the market. The study recommends that manufacturing industries with low scores of efficiency should improve their productivities through lower cost of production. The government has to snake effort to reduce tariff for finished goods. Taxes on luxurious goods and duty charges for export oriented industries should be eliminated as on alternative to increase efficiency in the manufacturing industry. Comparative advantages, particularly for linkage industries, should be improved."

"ABSTRAKDensely Connected Convolutional Networks (DenseNet) merupakan salah satumodel arsitektur Deep Learning yang menghubungkan setiap layer beserta feature-maps ke seluruh layer berikutnya, sehingga layer berikutnya menerima inputfeature-maps dari seluruh layer sebelumnya. Karena padatnya arsitektur DenseNetmeyebabkan komputasi model memerlukan waktu lama dan pemakaian memoryGPU yang besar. Penelitian ini mengembangkan metode optimisasi DenseNetmenggunakan batching strategy yang bertujuan untuk mengatasi permasalahanDenseNet dalam hal percepatan komputasi dan penghematan ruang memory GPU.Batching strategy adalah metode yang digunakan dalam Stochastic GradientDescent (SGD) dimana metode tersebut menerapkan metode dinamik batchingdengan inisialisasi awal menggunakan ukuran batch kecil dan ditingkatkanukurannya secara adaptif selama training hingga sampai ukuran batch besar agarterjadi peningkatan paralelisasi komputasi untuk mempercepat waktu pelatihan.Metode batching strategy juga dilengkapi dengan manajemen memory GPUmenggunakan metode gradient accumulation. Dari hasil percobaan dan pengujianterhadap metode tersebut dihasilkan peningkatan kecepatan waktu pelatihan hingga1,7x pada dataset CIFAR-10 dan 1,5x pada dataset CIFAR-100 serta dapatmeningkatkan akurasi DenseNet. Manajemen memory yang digunakan dapatmenghemat memory GPU hingga 30% jika dibandingkan dengan native DenseNet.Dataset yang digunakan menggunakan CIFAR-10 dan CIFAR-100 datasets.Penerapan metode batching strategy tersebut terbukti dapat menghasilkanpercepatan dan penghematan ruang memory GPU.

---

ABSTRACTDensely Connected Convolutional Networks (DenseNet) is one of the DeepLearning architecture models that connect each layer and feature maps to allsubsequent layers so that the next layer receives input feature maps from allprevious layers. Because of its DenseNet architecture, computational modelsrequire a long time and use large GPU memory. This research develops theDenseNet optimization method using a batching strategy that aims to overcome theDenseNet problem in terms of accelerating computing time and saving GPUmemory. Batching strategy is a method used in Stochastic Gradient Descent (SGD)where the technique applies dynamic batching approach with initial initializationusing small batch sizes and adaptively increased size during training to large batchsizes so that there is an increase in computational parallelization to speed up trainingtime. The batching strategy method is also equipped with GPU memorymanagement using the gradient accumulation method. From the results ofexperiments and testing of these methods resulted in an increase in training timespeed of up to 1.7x on the CIFAR-10 dataset and 1.5x on the CIFAR-100 datasetand can improve DenseNet accuracy. Memory management used can save GPUmemory up to 30% when compared to native DenseNet. The dataset used usesCIFAR-10 and CIFAR-100 datasets. The application of the batching strategymethod is proven to be able to produce acceleration and saving of GPU memory."

"Penelitian ini bertujuan untuk menguji efek dari penyaluran kredit kepada UMKM terhadap efisiensi bank yang ada di Indonesia. Penelitian ini menggunakan sampel sejumlah 35 bank umum di Indonesia selama periode observasi 2014 hingga 2018. Dalam penelitian ini, peneliti menggunakan stochastic frontier approach dalam mengestimasikan cost efficiency bank dengan menggunakan model yang dikembangkan oleh Batesse dan Coelli (1995). Peneliti juga menganalisis efek profitabilitas, kapabilitas manajemen, tingkat kecukupan modal, serta faktor regional banks terhadap efisiensi bank.Dari hasil penelitian ini, ditemukan pengaruh positif yang signifikan antara proporsi kredit UMKM dengan efisiensi bank. Selain itu, peneliti juga menemukan efek negatif yang bersifat signifikan antara profitabilitas dengan efisiensi bank. Kemudian, tingkat kecukupan modal terbukti memiliki pengaruh positif yang signifikan terhadap efisiensi bank.

---

This study examines how MSME lending affects the efficiency of banks in Indonesia by employing a stochastic frontier approach using Batesse and Coelli (1995)s cost efficiency model. This study uses a sample of 35 commercial banks in Indonesia from 2014 to 2018. This study also analyzes the effects of profitability, management capabilities, capital adequacy levels, and regional bank as control variables on bank efficiency.The result of this study shows a significant and positive impact of MSME lendings proportion on bank efficiency. We also found a significant negative effect of profitability on bank efficiency while the level of capital adequacy is proven to have a significant positive effect on bank efficiency."

"Penelitian ini bertujuan untuk menganalisis efisiensi biaya dan efisiensi profit perbankan syariah di Indonesia khususnya Unit Usaha Syariah (UUS). Efisiensi merupakan parameter untuk mengukur kinerja perbankan. Terdapat 18 UUS yang digunakan sebagai sampel penelitian ini dengan jangka waktu penelitian selama 5 tahun yaitu tahun 2007-2011. Dalam penelitian ini akan digunakan metode Stochastic Frontier Analysis (SFA) dengan fungsi biaya dan profit guna mengukur efisiensi perbankan syariah pada UUS di Indonesia. Data penelitian ini diolah dengan menggunakan software frontier 4.1. Semakin mendekati angka 1 maka semakin efisien bank tersebut. Variabel dipilih berdasarkan pendekatan intermediasi. Variabel input dalam penelitian ini adalah harga tenaga kerja, harga dana, dan harga modal. Sementara variabel output berupa total pembiayaan dan aktiva produktif lainnya. Hasil analisis menunjukkan bahwa tidak ada UUS yang mempunyai nilai 1 dalam efisiensi biaya dan efisiensi profit. Rata-rata efisiensi biaya selama 5 tahun sebesar 1.252 dan rata-rata efisiensi profit sebesar 0.881. Hal ini berarti selama tahun 2007-2011 inefisiensi biaya UUS sebesar 0.252, sementara nilai inefisiensi profit sebesar 0.1192. Nilai inefisiensi profit lebih rendah dibandingkan nilai inefisiensi biaya, artinya selama periode penelitian UUS lebih efisien dalam menghasilkan profit dibandingkan mengendalikan biaya.

---

This research purpose to analyze the cost efficiency and profit efficiency of Islamic Business Unit. Efficiency is a parameter to measure the performance of banks. There are 18 Islamic Business Unit are used as the sample of this study for 5 years during 2007-2011.

In this research, the method of Stochastic Frontier Analysis (SFA) in order to measure the cost and profit efficiency of Islamic Business Unit in Indonesia. The research data were processed using the software Frontier 4.1. The closer to 1, the more efficient the bank. Variables selected based intermediation approach. Input variable in this study is the price of labor, the price of funds, and the price of capital. While the output variables such as total financing and other earning assets.

The analysis showed that there was no UUS which has 1 of value in cost efficiency and profit efficiency. The average cost efficiency for 5years is 1,252 and the average profit efficiency is 0.881. It means that during 2007-2011 the inefficiency of cost is 0.252, and the inefficiency of profit is 0.1192. The value of profit inefficiency is lower than the cost inefficiency, it means that during the research period, UUS more efficient in generating profits than controlling costs."

"This book is an introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. This textbook, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. Key topics include: Markov processes Stochastic differential equations Arbitrage-free markets and financial derivatives Insurance risk Population dynamics, and epidemics Agent-based models."

"Stochastic Optimal Control (SOC), a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting debt crises and evaluating proposed financial regulation and risk management. Stochastic Optimal Control and the U.S. Financial Debt Crisis analyzes SOC in relation to the 2008 U.S. financial crisis, and offers a detailed framework depicting why such a methodology is best suited for reducing financial risk and addressing key regulatory issues. Topics discussed include the inadequacies of the current approaches underlying financial regulations, the use of SOC to explain debt crises and superiority over existing approaches to regulation, and the domestic and international applications of SOC to financial crises. "

"The thesis deals with averaging dynamics in a multiagent networked system, which is a main mechanism for diffusing the information over such networks. It arises in a wide range of applications in engineered physical networks (such as mobile communication and sensor networks), as well as social and economic networks. The thesis provides in depth study of stability and other phenomena characterizing the limiting behavior of both deterministic and random averaging dynamics. By developing new concepts, and using the tools from dynamic system theory and non-negative matrix theory, several novel fundamental results are rigorously developed. These contribute significantly to our understanding of averaging dynamics as well as to non-negative random matrix theory."