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Enny Noegraheni
Bina Nusantara University
Economics, Econometrics & Finance

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Analisis Kepercayaan dalam C2C E-Commerce terhadap Keputusan Pembelian dan Dampaknya terhadap Repurchase pada Kaskus Hartiwi Prabowo; Darman Darman; Enny Noegraheni
Binus Business Review Vol. 5 No. 1 (2014): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v5i1.1218

Abstract

The development of C2C e-commerce business in Indonesia has grown quite rapidly. This phenomenon is motivated by such a rapid development of the Internet. In the Internet-based commerce transaction, the trust factor (trust) becomes so important because consumers tend to be more concerned if e-commerce merchants do not comply with the obligations of business transactions compared to conventional transaction. This study aims to determine the effect of trust on purchasing decisions and their impact on repeat purchases by customers in the buying and selling forum Kaskus site. The number of respondents are 200 people who have experienced in buying and selling on Kaskus site and this research model is tested using path analysis.The study states that the customers’ trust variable has positive and significant impact on purchasing decisions, the variable purchase decisions has positive and significant effect on repeat purchase and customer trust has positive and significant impact on repeat purchase, but the magnitude of the effect becomes larger after the purchase decision (indirect effect ).
Aggregate Planning to Minimize Cost of Production in Manufacturing Company Enny Noegraheni; Hasbi Nuradli
Binus Business Review Vol. 7 No. 1 (2016): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v7i1.1448

Abstract

The rapid growth of seafood industry has lead to fierce competition. PT Anela is one of the major players in its industry. The company needs to develop a good strategy for competitive advantage in winning the competition. PT Anela is one of the ma jor players in the seafood industry. However, they have limitation in production capacity. The objectives of this study are to calculate the forecast demand and to develop aggregate production planning for PT Anela to meet demand with the lowest cost. The data is gathered through literature review and secondary data gathered directly from the company itself. The demand data from past three years was used to forecast demand using linear regression with seasonal index. Furthermore, all data was analyzed and used to design aggregate planning by using three strategies namely Chase, Level and Mixed strategy which calculated by POM for Windows. The results of this study show that the mixed strategy is the optimal strategy .
Co-Authors Darman Darman Hartiwi Prabowo Hasbi Nuradli