WIDYATAMA INTERNATIONAL SEMINAR

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    HIGHER EDUCATION STRATEGIC ANALYSIS BASED ON PERCEPTUAL MAPPING OF PROSPECTIVE STUDENTS IN BANDUNG
    (8th Widyatama International Seminar on Sustainability (WISS 2016), Widyatama University, 5 - 8, 2016-09) Zulganef; Rachim, Taufik
    This study aimed to analyze the position of some universities in Bandung, especially the position of Widyatama University. The analysis was conducted through perceptual mapping created through a technique called Multidimensional Scaling (MDS). The position of Higher Education mapped based on 8 attribute and 7 Colleges as references in the perceptual map. Based on 8 perceptual map attribute preferences and the position of each Universities, the authors analyzed competitive advantages and disadvantages, and similarity amongst the universities. Sample size is 750 respondents.The respondents are prospective students of Higher Education. This paper Also Discussed the results of research and made some Recommendations.
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    ROLE OF TECHNO PARK FOR CREATE TECHNOPRENEURSHIP IN EDUCATION INDUSTRY CASE STUDY: BANDUNG TECHNO PARK
    (8th Widyatama International Seminar on Sustainability (WISS 2016), Widyatama University, 5 - 8, 2016-09) Wijaya, Ni Putu Nurwita Pratami; Ichsani, Sakina
    Indonesia government are trying so hard to reduce the unemployment rate in Indonesia that always increase every year. One of the sollution is to create entrepreneurs in Indonesia. Lately, current universities in Indonesia have added entrepreneurship courses in its curriculum. Besides the addition of courses, they also train the entrepreneurial spirit of college students to create a business incubator. This research was conducted in order to determine the role of universities in the printing techno to create a strategy that may be used as a reference for universities that want to set up a techno park as a science entrepreneur training.
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    THE EFFECTS OF FLUCTUATION REAL EXCHANGE RATES ON THE BILATERAL TRADE BALANCE BETWEEN INDONESIA –CHINA: OBSERVATION CONDITION OF MARSHALL - LERNER AND THE J-CURVE PHENOMENON APPROACH
    (8th Widyatama International Seminar on Sustainability (WISS 2016), Widyatama University, 5 - 8, 2016-09) Laksono, R. Roosaleh; Novatiani, R.Ait
    This study aims to come to a conclusion as to whether there were effects of the real exchange rates on the bilateral trade balance especially in export-import sector and to prove that the Marshall-Lerner condition (for medium to long term time frame) was met, as well as whether the J- Curve phenomenon in the short term also took place during the 23-year trade period of Indonsia and China (1990 to 2013). The results derived from using the Error Correction Method within the period to exhibit a research gap: the exchange rate fluctuations did not affect the balancewhich in turn pointed to the conclusion of the absence of performance increase in the sectors. Several factors such as politics, social, and cultural issues contributed to the economic factors which sustained the condition
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    MINING TRANSACTIONAL DATA TO PRODUCE EXTENDED ASSOCIATION RULES USING COLLABORATIVE APRIORI, FSA-RED AND M5P PREDICTIVE ALGORITHM AS A BASIS OF BUSINESS ACTIONS
    (8th Widyatama International Seminar on Sustainability (WISS 2016), Widyatama University, 5 - 8, 2016) Sulianta, Feri; Laksana, Eka Angga; Liong, Thee Houw
    There are large amounts of transactional data which showed consumer shopping cart at a store that sells more than 150 types of products. In this case, the company is utilizing these data in making business action. In previous studies, the data that has a lot of attributes and record data reduction algorithms handled by the FSA Red (Feature Selection for Association Rules) are then mined using Apriori algorithm. The resulting association rules have high levels of accuracy and excellent test results, which rely more than 90%. In this study, the association rules generated in previous research will be updated by using prediction algorithms M5P, so that the reliability of association rules can be updated for the next day forward. Furthermore, some data mining technique such as: clustering and time series pattern will be implemented to examine the truth and to extend the validity of association rules which were built. It can be concluded that the association rules were established after will generate strong association rules with confidence equal or higher than 70% and the truth of the rules can be seen from the time series pattern on each group of goods which are then used as the basis of business actions.
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    FACTORS THAT AFFECT STOCK PRICING IN INDONESIA STOCK EXCHANGE
    (8th Widyatama International Seminar on Sustainability (WISS 2016), Widyatama University, 5 - 8, 2016-09) Gusni
    This study identifies factors of affecting stock pricing in the financial industry, and define which of the most important factors having powerful effect on the firm stock price. The study also interested to show factors that investors rely on to take their investment decisions. The data used in this study were collected from the period of 2009 to 2013 of financial industry listed in Indonesia Stock Exchange which samples were taken from 18 companies. Panel data regression methods have been conducted to explain factors affecting stock pricing on the firm stock price. Regression result indicates that, profitability, leverage, and dividend policy have negative impact on the firm stock price. Moreover, systematic risk and institutional ownership significantly affect on the firm stock price.