The restaurant business in jakarta showed rapidly increased. Marketing today as the compete of brand strategy and experiental marketing on the competitive situation. The Jun Jan Kitchen is a new restaurant specialized on Chinnese Food, urgent to know the brand loyalty. The Aim research is to measured the influence of Experiental marketing, emotional branding and brand trust towards brand loyalty. Research method used descriptif, data collecting technique with questioner and observation. Statistic tools using path analysis to looking for contribution level on each variabel towards other. Population this research is customer Jun Jan Kitchen. Sampling technique using accidental sampling. Amount of sample is 100 customers. Result of this research is experiental marketing giving the significant influence towards brand trust whereas Emotional branding giving the significant influence towards brand loyalty.
SMEC has high durability against any unpleasant economic conditions. Moreover, SMALL MEDIUM ENTERPRISES of batik has had the ability to produce export and derived foreign exchange for the country. It is important to continue to do the construction and development of batik industry competitiveness in order to compete in this era of free trade. The purpose of this research is to find a development Model as an integrated system capability of integrating Indonesian batik business, which is supported by the existing infrastructure so that it is capable of being one of the pre-eminent business typical batik Indonesia which has been recognized as one of the world heritage of Indonesian as a nation. Methods the study was a qualitative Method to find the organization model and hybrid formulation of e community system to support collaboration among organizations. This research has enabled independent business group supported a Hybrid organization building strength together in the era of globalization based on Electronic Community System that is driven by each component in the Hybrid Organization.
In 2010 sales forcast proposed the Herbal product on the world has been target US 80 Billion. The Herbal product was accepted on range in the developed countries and the Forward Countries. Suggest of World Health Organization is until 65% people on the forward countries and 80% people the developed Countries used Herbal Product. The prospect of herbal product is relating with Customer interest towards Herbal product, caused that want to know the essential of determinant variable on the customer interest to repeat buying the Herbal product. The aim research was measure the direct and indirect influences of the advertising role and the group of reference towards the customer interest to repeat buying the herbal product.The methodology used Causal analysis with path analysis. The research respondent is Buyer Herbal Product Ling Shen yao in Jakarta which amount sample is 100 person.The result of research explain the theories although referring Causility among variables which is Advertising of Magazine, the group of reference, Quality perception and customer interest to repeat buying, but the fact of research justified is causality advertising have indirect influence toward customer interest to repeat buying through Quality perception and the other hand the group of reference have direct and indirect influence towards customer interest to repeat buying the herbal product.
Cumulative state loss over the years caused by corruption in Indonesia has reached a fantastic number of 15 Billion usn up until 2016 [1]. To imagine the severances of it, 10.000 KM of highway can be built with that much amount of fund. Several responses has been done by Indonesian government to fight corruption from both prevention and persecution. This work focuses on the development of a web application aimed to provide insight to corruption case per province in Indonesia. The web application was developed using Machine Learning, specifically Backpropagation Artificial Neural Network (ANN). Web crawling and web scraping techniques are used to gather news content from 7 major news portal in Indonesia. Accuracy is measured by comparing correct prediction by ANN to its true value. Upon finding corruption news, data is saved and further analysis is done to establish the number of corruption news per region. Finally, the output is visualized using Google Map API. The purpose of this work is to provide regional depiction of corruption case to give further insight to be used by decision makers. Upon using this web application, objectivity of program development is expected to increase. The final output of the web application is a map of corruption case in Indonesia per region. The accuracy of ANN used in this work to classify corruption and noncorruption news is 96.91 % using Sigmoid Activation Function.
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