23,147 research outputs found
GLOBALIZATION VS INTERNATIONALIZATION FOR ENTREPRENEURS
Di sebuah artikel pada Harvard Business Review, Theodore Levitt mempublikasikan tulisan berjudul
Globalization of Markets; sebuah review aktivitas bisnis setelah menjadi sebuah topik menarik untuk akademisi
dan praktisi. Topik ini juga menjadi fenomena karena argumen beliau tentang globalisasi yang merupakan
sebuah konvergensi ekonomi dengan aktivitas bisnis tanpa adanya hambatan nasional. Hal tersebut kontras
dengan internasionalisasi yang cenderung lebih menyempit dan berhubungan bisnis dengan bagian luar
perbatasan nasional. Ide sentral yang harus dijawab oleh manajer dan para entrepreneur adalah apakah pasar
mereka global atau internasional. Sebelum menjawabnya, mereka butuh pengertian dan paradigma baru
tentang hal ini. Lebih lanjut, Thomas Friedman dalam bukunya ‘The World is Flat’ juga memperkuat ide Levitt
dan menuliskan sebuah dunia dengan evolusi informasi dan teknologi. Era baru ekonomi ini membuka
kesempatan baru dalam sudut pandang entrepreneur. Ada sebuah pintu yang terbuka lebar untuk memasuki
pasar global dan lebih mudah untuk menyesuaikan perkembangan perusahaan atau bisnis baru
ANALYSIS OF MORAL VALUE IN THE MOVIE ZOOTOPIA BY RICH MOORE AND BYRON HOWARD
A movie is a form of literary work which has the main function as a means of entertainment.
Apart from just being entertaining, films also have the potential as a learning tool because they
provide audio and visual stimuli that can attract the attention of the audience and convey various
moral values that describe the principles underlying good and bad actions. It is important for
students to be introduced to and taught about these moral values so that they can understand and
learn them well. This study of the moral The theme in the film Zootopia aims to explore
educational possibilities that can be obtained from watching films, by utilizing visual storytelling
techniques. The film acts as a medium that influences conveying information and messages to the
audience so that the moral values contained in it can be understood and studied by the audience.
This research aims to identify the various moral values presented in the film Zootopia and
reveal the moral values implied in the narrative.
This research uses library research with a qualitative descriptive method approach. The data for
this research are the moral values contained in the dialogue scripts spoken by the characters when
shown in the film. The data source for this research comes from the film entitled "Zootopia".
Writing uses documentation techniques to collect data. Apart from that, researchers used data
analysis.
The findings should that the values contained in the moral values in Zootopia. By applying
qualitative methodology, The main data source is the Zootopia film itself which is equipped with
subtitle files. The research results show that several moral values contained in the film "Zootopia"
are stories that raise several important moral values in life, including respect, justice, self�confidence, tolerance, helping each other, and altruism
PERENCANAAN SISTEM PERAWATAN MESIN DENGAN MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) PADA PT. INDOPHERIN JAYA, PROBOLINGGO
The study aimed to identify the right preventive care for corrective treatment formerly used in the company. When the production process, the breakdown of the production of frequently caused by the production process operating 24 hours, and led to activities in the production process. The company has several: the boiler of a steam engine, thermal oil heater, conveyor, and chiller water. As for the data thesis research needed in this primary data conducted interviews directly with the heads of the technique, operators and mechanics. n its management will be arranged in table containing column function descriptor components and component failure of function, data - this data will be used for analysis Failure Mode and Effect Analysis (FMEA). Based on the result analysis and processing the data was already performed in pt indhoperin jaya, through a failure by both fmea analysis method known components valves expansion and be a failure for the highest of an RPN 162 and 180. Of engineering treatment with rcm keandalannya mengunnakan methods to find, reliability of expansion valves from components originally 36,8 % into 73,6 %. For the reliability of components to be 28,4 % 56,8
%
THE INFLUENCE OF SPECIAL ITEMS TO CORE EARNINGS IN EARNINGS MANAGEMENT AT MANUFACTURING COMPANIES LISTED IN JAKARTA STOCK EXCHANGE
This paper examines the classification of items within the income statement
as an earnings management tool. Evidence is consistent with managers
opportunistically shifting expenses from core expenses (cost of goods sold and
selling, general, and administrative expenses) to special items. This vertical
movement of expenses does not change bottom-line earnings, but overstates ‘‘core’’
earnings.
Keywords: earnings management; earnings components; special items
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments
The feasibility of deep neural networks (DNNs) to address data stream
problems still requires intensive study because of the static and offline
nature of conventional deep learning approaches. A deep continual learning
algorithm, namely autonomous deep learning (ADL), is proposed in this paper.
Unlike traditional deep learning methods, ADL features a flexible structure
where its network structure can be constructed from scratch with the absence of
an initial network structure via the self-constructing network structure. ADL
specifically addresses catastrophic forgetting by having a different-depth
structure which is capable of achieving a trade-off between plasticity and
stability. Network significance (NS) formula is proposed to drive the hidden
nodes growing and pruning mechanism. Drift detection scenario (DDS) is put
forward to signal distributional changes in data streams which induce the
creation of a new hidden layer. The maximum information compression index
(MICI) method plays an important role as a complexity reduction module
eliminating redundant layers. The efficacy of ADL is numerically validated
under the prequential test-then-train procedure in lifelong environments using
nine popular data stream problems. The numerical results demonstrate that ADL
consistently outperforms recent continual learning methods while characterizing
the automatic construction of network structures
RELATIONSHIP BETWEEN URBANIZATION AND DENGUE HAEMORRHAGIC FEVER INCIDENCE IN SEMARANG CITY
Unplanned urbanization can cause unhealthy urban environment, which in turn increases the population of mosquitoes carrying the dengue vector. Consequently, this would reduce the urban life quality because public health is an important aspect of it. The increasing incidence of Dengue Haemorrhagic Fever (DHF) in Semarang City has been alarming. In 2013, the incidence was 2,364 cases, which increased up to 89.11% from the 1,250 cases of 2012. So, it is necessary to study about what relationship is there between the level of urbanization and the incidence of DHF in Semarang. This study used quantitative and spatial approach. The unit of analysis is sub-district with time series data from 2006 to 2013. The analysis technique is spatial analysis through image interpretation, regression, and descriptive analysis. The level of urbanization has been measured through the variables of population growth, population density, land use change, and building density. The results have shown that there is no significant correlation between the level of urbanization and the incidence of dengue fever. The urbanization is acknowledged as influencing only about 28% of the DHF incidence in the city, while the other 72% has been influenced by other factors
Evolving Ensemble Fuzzy Classifier
The concept of ensemble learning offers a promising avenue in learning from
data streams under complex environments because it addresses the bias and
variance dilemma better than its single model counterpart and features a
reconfigurable structure, which is well suited to the given context. While
various extensions of ensemble learning for mining non-stationary data streams
can be found in the literature, most of them are crafted under a static base
classifier and revisits preceding samples in the sliding window for a
retraining step. This feature causes computationally prohibitive complexity and
is not flexible enough to cope with rapidly changing environments. Their
complexities are often demanding because it involves a large collection of
offline classifiers due to the absence of structural complexities reduction
mechanisms and lack of an online feature selection mechanism. A novel evolving
ensemble classifier, namely Parsimonious Ensemble pENsemble, is proposed in
this paper. pENsemble differs from existing architectures in the fact that it
is built upon an evolving classifier from data streams, termed Parsimonious
Classifier pClass. pENsemble is equipped by an ensemble pruning mechanism,
which estimates a localized generalization error of a base classifier. A
dynamic online feature selection scenario is integrated into the pENsemble.
This method allows for dynamic selection and deselection of input features on
the fly. pENsemble adopts a dynamic ensemble structure to output a final
classification decision where it features a novel drift detection scenario to
grow the ensemble structure. The efficacy of the pENsemble has been numerically
demonstrated through rigorous numerical studies with dynamic and evolving data
streams where it delivers the most encouraging performance in attaining a
tradeoff between accuracy and complexity.Comment: this paper has been published by IEEE Transactions on Fuzzy System
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS
Many distributed machine learning frameworks have recently been built to
speed up the large-scale data learning process. However, most distributed
machine learning used in these frameworks still uses an offline algorithm model
which cannot cope with the data stream problems. In fact, large-scale data are
mostly generated by the non-stationary data stream where its pattern evolves
over time. To address this problem, we propose a novel Evolving Large-scale
Data Stream Analytics framework based on a Scalable Parsimonious Network based
on Fuzzy Inference System (Scalable PANFIS), where the PANFIS evolving
algorithm is distributed over the worker nodes in the cloud to learn
large-scale data stream. Scalable PANFIS framework incorporates the active
learning (AL) strategy and two model fusion methods. The AL accelerates the
distributed learning process to generate an initial evolving large-scale data
stream model (initial model), whereas the two model fusion methods aggregate an
initial model to generate the final model. The final model represents the
update of current large-scale data knowledge which can be used to infer future
data. Extensive experiments on this framework are validated by measuring the
accuracy and running time of four combinations of Scalable PANFIS and other
Spark-based built in algorithms. The results indicate that Scalable PANFIS with
AL improves the training time to be almost two times faster than Scalable
PANFIS without AL. The results also show both rule merging and the voting
mechanisms yield similar accuracy in general among Scalable PANFIS algorithms
and they are generally better than Spark-based algorithms. In terms of running
time, the Scalable PANFIS training time outperforms all Spark-based algorithms
when classifying numerous benchmark datasets.Comment: 20 pages, 5 figure
Hubungan elastisitas permintaan dengan usaha mikro, kecil dan menengah (UMKM) di Jawa Timur
Perkembangan ekonomi saat ini sangatlah pesat dari tahun ke tahun. Khususnya pulau jawa,
salah satu pulau yang perkembangnya sangatlah pesat dibandingkan pulau pulau lainnya.
Serta di provinsi Jawa Timur inilah juga merupakan provinsi yang terbilang pesat yang
berada di pulau jawa. Maka dari itu, kali ini saya membuat jurnal yang akan membahas
elastisitas permintaan barang yang dapat dipengaruhi oleh faktor faktor lain serta akan
berhubungan dengan perkembangan usaha mikro, kecil, dan manengah (UMKM)
VIDEO STREAMING WITH GIGABIT PASSIVE OPTICAL NETWORK TECHNOLOGY
Perkembangan teknologi berpengaruh kepada kebutuhan user untuk mengakses data lebih
cepat, perlahan sistem dengan menggunakan Fiber Optic mulai menggeser posisi kabel tembaga
dalam transmisi data karena lebih cepat. Tren user saat ini adalah membutuhkan transmisi data
yang lebih cepat dan lebih besar, seperti Video Streaming. Penelitian ini bertujuan untuk membuat
system Video Streaming dengan infrastruktur GPON (Gigabit Passive Optical Network). Dalam
penelitian dilakukan konfigurasi Video Streaming dengan GPON kemudian juga dilakukan dengan
system Ethernet. Keduanya dibandingkan dengan parameter kecepatan dan frame rate untuk Video
Streaming. Hasil yang dapat diperoleh dari penelitian dengan menggunakan system GPON adalah
kestabilan untuk melakukan Streaming Video dibandingkan Ethernet
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