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The Impact of Employer Branding Towards Intention to Apply on Novo Club Community Batch 1 with Corporate Reputation as Mediation Variable Shofia Mumtaz Alifa; Vita Sarasi
Journal of Social Science Vol. 4 No. 3 (2023): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jss.v4i3.576

Abstract

This study aims to examine the effect of employer branding on the intention to apply by mediating variable corporate reputation in Novo Club Community Members Batch 1. The data in this study were tested using the SEM-PLS (Structural Equation Modeling-Partial Least Square) method by sampling using purposive sampling techniques to 157 respondents who were active members of Novo Club Batch 1. The data in this study was obtained through questionnaires that were distributed using the help of google forms and processed using SmartPLS 3.0 software. The result of this study is that employer branding through corporate reputation has no positive and significant effect on the intention to apply with T-statistical values of 1,485<1.96 and P-values of 0.138>0.05. Therefore, ParagonCorp needs to carry out a new strategy that is more targeted and measurable to improve the company's good reputation.
ANALYSIS OF HOLT-WINTERS AND ARIMA MODEL IN MUSLIMAH SCARF DEMAND FORECASTING Vita Sarasi; Iman Chaerudin; Nugroho Djati Satmoko; Destiana Ayuningtyas Zahra
Jurnal Bisnis Manajemen Vol 24, No 1 (2023): March 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jbm.v24i1.2063

Abstract

Scarf and Muslimah clothing are popular phenomenon that can become a trend in Indonesia as an expression of cultural identity and communication. Demand forecasting in the fashion industry is one of the most important elements in an operational decision support system that significantly influences inventory management. Rapid changes in fashion cause the number of demand to be uncertain and cause forecasting discrepancies, which can lead to overstock. The purpose of this research is to design a forecasting method using the Holt Winters Model for four products and the ARIMA Model (0,1,1) for one product. The result is that by using these two forecasting models, the amount of overstock decreased by 5.6% and cost savings of IDR 67,742,481.04 for nine months. The proposed amount of safety stock is at the service level of 90 to 95%