bluuebunny/crossref_metadata_2025_split huggingface dataset:
PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION
Authors: FATIMAH EVI NOVIYANTARI , SUKARSA I KOMANG GDE , SUSILAWATI MADE 
Published: August 2017

This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province. Logistic regression is a statistical analysis that is used to describe the response variable is categorical with the independent variables are categorical or continuous. The main problem of this method if it’s applied in data that is affected of geographic location or spatial data. One of many method to solve the spatial data is Geographically Weighted Logistic Regression (GWLR). GWLR is a statistical method for analyze the data to account for spatial factor. The results showed that there are no significant differences between the logistic regression model with GWLR model. Factors that significantly affect the risk of pneumonia in toddlers in East Java Province is the percentage of low birth weight, the percentage of toddlers who get measles immunization, the percentage of toddlers who get vitamin A, and the percentage of toddlers who get DPT+HB immunization.
PENDUGAAN DATA HILANG DENGAN METODE YATES DAN ALGORITMA EM PADA RANCANGAN LATTICE SEIMBANG
Authors: SUSILAWATI MADE , SARI KARTIKA 
Published: August 2017

Missing data often occur in agriculture and animal husbandry experiment. The missing data in experimental design makes the information that we get less complete. In this research, the missing data was estimated with Yates method and Expectation Maximization (EM) algorithm. The basic concept of the Yates method is to minimize sum square error (JKG), meanwhile the basic concept of the EM algorithm is to maximize the likelihood function. This research applied Balanced Lattice Design with 9 treatments, 4 replications and 3 group of each repetition. Missing data estimation results showed that the Yates method was better used for two of missing data in the position on a treatment, a column and random, meanwhile the EM algorithm was better used to estimate one of missing data and two of missing data in the position of a group and a replication. The comparison of the result JKG of ANOVA showed that JKG of incomplete data larger than JKG of incomplete data that has been added with estimator of data. This suggest thatwe need to estimate the missing data.
IMPLEMENTASI METODE BOOTSTRAP DALAM INFERENSI TITIK-TITIK BIPLOT AMMI MODEL AMMI CAMPURAN (MIXED AMMI) (Studi Kasus: Menduga Stabilitas Genotipe Padi)
Authors: TRISNAYANTI NI PUTU AYU DINITA , SUKARSA I KOMANG GDE , SUCIPTAWATI NI LUH PUTU 
Published: August 2017

In this research bootstrap methods are used to determine the points inference of biplot figures on the analysis of AMMI. If the environmental factors are assumed to be random factors, then Mixed AMMI is used as a model of analysis. In the analysis of the stabilit, the main components score interaction used are KUI1 and KUI2. The purpose of this study is to determine the Biplot figures based on two scores these are KUI with the greatest diversity of Mixed AMMI models and the points inference by using the bootstrap method. The stable genotypes obtained from biplot AMMI2 are G1, G5, and G6. Based on points inference of each genotype, G1 and G5 can be regarded as the most stable genotype. This is because the distribution of G1 and G5 are the closest to the center point (0,0) and both of them have a small radius.
ESTIMASI NILAI CONDITIONAL VALUE AT RISK MENGGUNAKAN FUNGSI GAUSSIAN COPULA
Authors: HIDAYATI HERLINA , DHARMAWAN KOMANG , SUMARJAYA I WAYAN 
Published: August 2017

Copula is already widely used in financial assets, especially in risk management. It is due to the ability of copula, to capture the nonlinear dependence structure on multivariate assets. In addition, using copula function doesn’t require the assumption of normal distribution. There fore it is suitable to be applied to financial data. To manage a risk the necessary measurement tools can help mitigate the risks. One measure that can be used to measure risk is Value at Risk (VaR). Although VaR is very popular, it has several weaknesses. To overcome the weakness in VaR, an alternative risk measure called CVaR can be used. The porpose of this study is to estimate CVaR using Gaussian copula. The data we used are the closing price of Facebook and Twitter stocks. The results from the calculation using 90% confidence level showed that the risk that may be experienced is at 4,7%, for 95% confidence level it is at 6,1%, and for 99% confidence level it is at 10,6%.
ANALISIS PRIORITAS SOLUSI KEMACETAN LALU LINTAS DI KOTA DENPASAR DENGAN MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS
Authors: ISMIRANTI NI WAYAN NINING , KENCANA I PUTU EKA N. , SUKARSA I KOMANG GDE 
Published: August 2017

The aim of this research is to find the alternative solutions that could be used to handle the traffic congestions in the Denpasar City and the priorities of each alternative. The main problem of this research is determining the appropriateness of alternatives and its criterias that could be used to set the priorities of the alternatives. Based on the interview with the transport experts of Denpasar City, there are three main factors that affect the traffic congestion i.e (1) the ratio of the volume of vehicles on the road capacity, (2) the existing traffic management, and the traffic regulation . The interviewee also suggest that there are six alternatives that can be used to handle traffic congestion. These alternatives are (1)improve the public transport system, (2) use technology to monitor and enforce the rules,(3) create a 3 in 1 rule, (4) create road pricing rule,(5) optimize the existing management in the road, and (6) create rule of road zoning. Based on the calculations by Analytic Network Process (ANP) method, improving the public transport system is the best alternative among others that is appropriate to handle traffic congestion in the Denpasar City.
PENERAPAN BOOTSTRAP DALAM METODE MINIMUM COVARIANCE DETERMINANT (MCD) DAN LEAST MEDIAN OF SQUARES (LMS) PADA ANALISIS REGRESI LINIER BERGANDA
Authors: DAYANTI NI PUTU IIN VINNY , SUCIPTAWATI NI LUH PUTU , SUSILAWATI MADE 
Published: August 2017

Ordinary Least Squares (OLS) Method is a good method to estimate regression parameters when there is no violation in classical assumptions, such as the existence of outlier. Outliers can lead to biased parameters estimator, therefore we need a method that can may not affected by the existence of outlier such as Minimum Covariance Determinant (MCD) and Least Median of Squares (LMS). However, the application of this method is less accurate when it is used for small data. To overcome this problem, it was aplicated bootstrap method in MCD and LMS to determine the comparison of bias in parameters which were produced by both methods in dealing outlier in small data. The used bootstrap method in this study was the residual bootstrap that works by resampling the residuals. By using 95% and 99% confidence level and 5%, 10% and 15% outlier percentage, MCD-bootstrap and LMS-bootstrap give value of parameter estimators which were unbias for all percentage of outlier. We also found that the widht of range which produced by MCD-bootstrap method was shorter than LMS-bootstrap method produced. This indicates that MCD-bootstrap method was a better method than LMS-bootstrap method.
PENENTUAN HARGA OPSI DAN NILAI HEDGE MENGGUNAKAN PERSAMAAN NON-LINEAR BLACK-SCHOLES
Authors: DENI PUTU AYU , DHARMAWAN KOMANG , GANDHIADI G. K. 
Published: August 2017

Option are contracts that give the right to sell and buy the asset at a price and a certain period of time. In addition investors use option as a means of hedge against asset owned. Many methods are used to determine the price of option, one of them by using the Black-Scholes equation. But its use these in the assumption that the value for the constant volatility. On market assumption are not appropriates, so many researchers proposed using a volatility calculation option that is non-constant Black-Scholes equation modelled using the volatility is not constant in the range so as to produce a non-linear equation of Black-Scholes. In addition to determine the value of hedge ratio. On completions of this study, for the numerical solution of non-linear Black-Scholes equation using method of explicit finite difference scheme. Option use in research us a stock YAHOO!inc. as the underlying asset. The result showed that the price of the option is calculated using non-linear Black-Scholes equation price close on the market. Therefore, it can produce hedge ration for a risk-free portfolio containing of the option and stock.
PENENTUAN CADANGAN PREMI UNTUK ASURANSI JOINT LIFE
Authors: DEWI NI LUH PUTU RATNA , WIDANA I NYOMAN , NILAKUSMAWATI DESAK PUTU EKA 
Published: August 2017

Premium reserve is a number of fund that need to be raised by insurance company in preparation for the payment of claims. This study aims to get the formula of premium reserve as well as the value of the premium reserve for joint life insurance by using retrospective calculation method. Joint life insurance participants in this study are limited to 2 people. Calculations in this study is using Indonesian Mortality Table (TMI) 2011, joint life mortality tables, commutation tables, value of annuities, value of single premiums and constant annual premium and using constant interest rates of 5%. The results showed that by using age of the participant insurance joint life of x = 50 and y = 45 years and the premium payment period of t = 10 years, we obtained that the value of premium reserve from the end of the first year until the end of the 11th year has increased every year, while the value of premium reserves from the end of the 12th year and so on until a lifetime has decreased every year.
PENGELOMPOKAN DESA/KELURAHAN DI KOTA DENPASAR MENURUT INDIKATOR PENDIDIKAN
Authors: APRILIA A.P NI WAYAN ARIS , SRINADI I GUSTI AYU MADE , SARI KARTIKA 
Published: August 2017

Cluster analysis is one of data analysis used to classify objects in clusters which has objects with the same characteristics, whereas the other cluster has different characteristics. One part of the method of analysis cluster is hierarchy method. In a hierarchical method there are methods of linkage in the form of incorporation. Generally, methods of linkage is divided into 5 methods: single linkage, complete linkage, average linkage, Ward and centroid. The purpose of this study was to determine the best method of linkage among the method of single linkage, complete linkage, average linkage, and Ward, using Euclidean and Pearson proximity distance. Base on the smallest value of CTM (Cluster Tightness Measure), the best method of linkage as a result of this research was average linkage in Pearson distance.
BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL UNTUK MENGKLASIFIKASIKAN STATUS GIZI BALITA DI KABUPATEN KLUNGKUNG
Authors: SARI PALUPI PURNAMA , SUSILAWATI MADE , SRINADI I GUSTI AYU MADE 
Published: August 2017

This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height for age (H/A) and to classify children nutritional status into normal, short or very short categories. Height for age (H/A) is indicator used to describe the circumstances of malnutrition short. Short children (stunting) is children who fail to reach optimal growth. The secondary data was list of 116 data of children aged 24-59 months at UPT. Puskesmas Klungkung I in 2015. The method was used was ordinal logistic regression and bagging ordinal logistic regression. Based on the research results, it was obtained variables children body length at birth, birth weight, and length of mid-upper arm circumference (MUAC) in pregnant woman were significantly affects the nutritional status of children by the classification accuracy level of ordinal logistic regression and misclassification . Classification accuracy of ordinal logistic regression can be improved by bagging ordinal logistic regression method. Bagging works well on classification method which has unstable procedures. One of classification method which has unstable procedures is ordinal logistic regression. Bagging ordinal logistic regression method by 501 times replication capable to improve classification accuracy of ordinal logistic regression model from to , increased .
PERBANDINGAN REGRESI ZERO INFLATED POISSON (ZIP) DAN REGRESI ZERO INFLATED NEGATIVE BINOMIAL (ZINB) PADA DATA OVERDISPERSION (Studi Kasus: Angka Kematian Ibu di Provinsi Bali)
Authors: DEWANTI NI PUTU PREMA , SUSILAWATI MADE , SRINADI I GUSTI AYU MADE 
Published: August 2017

Poisson regression is a nonlinear regression which is often used for count data and has equidispersion assumption (variance value equal to mean value). However in practice, equidispersion assumption is often violated. One of it violations is overdispersion (variance value greater than the mean value). One of the causes of overdipersion is excessive number of zero values on the response variable (excess zeros). There are many methods to handle overdispersion because of excess zeros. Two of them are Zero Inflated Poisson (ZIP) regression and Zero Inflated Negative Binomial (ZINB) regression. The purpose of this research is to determine which regression models is better in handling overdispersion data. The data that can be analyzed using the ZIP and ZINB regression is maternal mortality rate in the Province of Bali. Maternal mortality rate data has proportion of zeros value more than 50% on the response variable. In this research, ZINB regression better than ZIP regression for modeling maternal mortality rate. The independent variable that affects the number of maternal mortality rate in the Province of Bali is the percentage of mothers who carry a pregnancy visit, with ZINB regression models and .
ANALISIS KUNJUNGAN ULANG WISATAWAN NUSANTARA DENGAN MODEL KONSTRUK BERHIERARKI
Authors: HERAYANTHI W. DWI , SUKARSA KOMANG GDE , OKA TJOKORDA BAGUS , KENCANA EKA N. 
Published: August 2017

This research is aimed to analyze the effect of domestic tourists’ satisfaction towards their intention to revisit destinations at Badung Regency, Province of Bali by using hierarchical construct modeling. Data from 75 local tourists were collected in July through December 2015 and were used to model this causal relationship. In our model, destination attributes, tourist’s facilities, and destination accessibilities were positioned as the second-order constructs and proposed have effect on tourists’ satisfaction. Futhermore, satisfaction – in turns – is proposed affects tourist intention to revisit. We found destination attributes significantly affect tourist satisfaction with its causal value is 0.410 and this satisfaction significantly affects their intention to revisit tourism destinations at Badung Regency with path value as much as 0.764.
PERBANDINGAN HASIL PERHITUNGAN PREMI ASURANSI JIWA ENDOWMENT SUKU BUNGA VASICEK DENGAN DAN TANPA SIMULASI MONTE CARLO
Authors: SARI DESI KURNIA , WIDANA I NYOMAN , SARI KARTIKA 
Published: August 2017

Vasicek is one of the stochastic interest rate model that can capture interest rates movement. The aim of this research was to get the comparison of the level premium for an endowment life insurance under stochastic interest rate without and by using Monte Carlo simulation. The result show that the level premium without Monte Carlo simulation is not much different from the result of the level premium by using Monte Carlo simulation. However, the premium calculation by using Monte Carlo simulation can also be searched the range of losses and gains of the insurance company at certain confidence interval. In this case using a confidence interval of 95%.
Multinationale et capitalisme régional : la conquête d’une position dominante sur le marché du blé au Brésil
Authors: Kirschner Ana Maria 
Published: August 2017

Depuis 1945 l’industrie agro-alimentaire brésilienne a connu une profonde mutation, se situant parmi les branches les plus dynamiques de l’économie nationale. Dans ce secteur la minoterie enregistre une transformation rapide et s’installe dans tout le pays, y compris dans les régions où le pain n’était pas l’aliment de base. Dans un contexte politique particulier et changeant, allant de l’Estado novo à la démocratie, la dictature militaire puis le retour à la démocratie, deux groupes s’opposent pour la conquête d’une position dominante : Bunge & Born, multinationale du commerce international d’origine allemande, installée depuis un demi-siècle en Argentine, Macêdo, une entreprise nordestine, née très modestement en 1945 et devenue l’un des plus puissants groupes nationaux. L’article analyse la politique de ces deux groupes à partir de leur structure, de leur culture d’entreprise, de leurs liens financiers et politiques.
Quand l’Ouest rencontre l’Est : un industriel français en Europe centrale
Authors: Globokar Tatjana 
Published: August 2017

Renault, coopérant avec une usine en Slovénie depuis les années 1970, s’installe définitivement à partir de 1990 afin de faire de cette usine une de ses principales unités produisant pour les marchés occidentaux. La technologie, l’organisation et les méthodes de travail sont entièrement importées de France, voire du Japon. Comment ces changements ont-ils été acceptés par les Slovènes ? Traditionnellement, ceux-ci gardent une certaine méfiance vis-à-vis des étrangers, ont difficilement confiance dans la technicité française. Ils pratiquent au travail un mode de gestion bien différent de celui des Français. Une recherche sociologique menée dans l’usine Revoz a permis de détecter les caractéristiques culturelles qui étaient proches des exigences de l’exemple japonais. La méthode amène la qualité de Revoz au premier rang des usines Renault.
Le siècle de la grande entreprise ?
Authors: Saussois Jean-Michel 
Published: August 2017

Cet article est une introduction à ce numéro spécial qui rend compte d’une journée organisée par l’ANVIE le 20 septembre 1994 à l’Ecole supérieure de commerce de Paris (ESCP). Alfred Chandler fut l’intervenant principal de cette conférence consacrée au futur de la grande entreprise industrielle multidivisionnelle. L’auteur soulève deux questions théoriques. La première est celle du choix de l’unité d’analyse permettant de comprendre le capitalisme managérial (firme ou coûts de transaction ?). Le deuxième concerne la prise en compte des capacités organisationnelles et des capacités d’apprentissage lors de l’évaluation de la compétitivité de la firme dans une industrie spécifique. L’auteur conclue sur les transformations de la pratique managériale et les conséquences qui en découlent sur la formation des futurs managers.
Genèse de la communication dans l’entreprise moderne
Authors: Nicolas Yves 
Published: August 2017

La mise en place d’une direction de la communication dans certaines grandes entreprises, il y a une vingtaine d’années, a introduit une cohérence des messages émis et de l’organisation des services d’information. L’auteur montre que cette naissance a été précédée de diverses étapes. Si la publicité est ancienne, la rétention de l’information technique aurait caractérisé la période de la taylorisation des établissements. En revanche, dans un deuxième temps, le New Deal aurait eu pour conséquence la naissance des services de « public-relations » dans les entreprises américaines. Après la deuxième guerre, les visites organisées de dirigeants européens aux États-Unis, dans le cadre du Plan Marshall, auraient conduit à la formation de ces services de ce côté-ci de l’Atlantique. Les directions de la communication seraient donc l’aboutissement d’un long processus.
L’histoire de l’entreprise à travers sa presse. Organisation et développement de l’information
Authors: Malaval Catherine 
Published: August 2017

La presse d’entreprise serait née avec la grande entreprise ; les premiers titres recensés par l’auteur datent des années 1870-80. L’information, dès l’origine, comporte de multiples facettes et des lecteurs variés. Au début des années vingt, différentes organisations patronales ont eu le souci d’étudier le rôle de la presse d’entreprise, notamment en matière de publicité, et à la veille de la Seconde Guerre mondiale une réunion des journaux d’entreprise a eu lieu mais ce n’est qu’en 1949 que l’Union des Journaux d’Entreprises de France (UJEF) est née. La définition de ce qu’est un bon journal d’entreprise et ses missions ont pu ainsi se propager grâce à l’institutionnalisation de cette union. La presse d’entreprise constitue, de nos jours, un recours indispensable pour les historiens des entreprises.
Une méthode publicitaire américaine ? Cadum dans la France de l’entre-deux-guerres
Authors: Chessel Marie-Emmanuelle 
Published: August 2017

Le développement de la publicité Cadum, dans la France de l’entre-deux-guerres, signale à la fois la transformation des pratiques commerciales et l’évolution de la culture de consommation. L’efficacité de la méthode (en particulier la liaison entre la marque, la distribution et la publicité), qui s’oppose aux pratiques des savonniers français, pourrait laisser croire, tout comme les critiques féroces face à l’image du « bébé Cadum », à une pratique américaine décriée en France. Il semble toutefois que la publicité Cadum contribue, plus généralement, à une évolution marquée par l’intérêt des publicitaires, des annonceurs et des affichistes français, pour une publicité qui change de nature à la fin des années trente.
L’émergence des coûts standards aux États-Unis : 1880-1930. Pourquoi ? Par qui ? Quel enseignement pour la France ?
Authors: Zimnovitch Henri 
Published: August 2017

Plusieurs facteurs sont évoqués pour comprendre ce qui a présidé à l’émergence des coûts standards aux Etats-Unis : l’évolution économique, sociale et idéologique entre 1880 et 1930, ainsi que l’apparition du management scientifique. Replacées dans cet environnement, les idées que les ingénieurs développèrent — conjointement aux comptables — en matière de coûts standards sont examinées. Leur naissance est étudiée depuis les intuitions des années 1880 jusqu’à leur reconnaissance, dans les années 1920-1930, par la littérature et la pratique des entreprises. L’article se veut également une réflexion sur la méthode en histoire de la comptabilité et sur son utilité.