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INDONESIA
Indonesian Journal of Business Analytics (IJBA)
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 28080718     DOI : https://doi.org/10.55927/ijba.v2i1
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Indonesian Journal of Business Analytics (IJBA) is a peer-reviewed journal providing a space for both practitioners and academics for disseminating research results that work in Business Analytics and related fields. IJBA provides an outlet for the increasing flow of interdisciplinary research cutting across business, business data mining, predictive analytics, descriptive analytics, prescriptive analytics, Quantitative business method, management, finance, information system, accounting, Entrepreneurship, Business ethics, Sustainability, Knowledge Management, Learning Organization and economics disciplines. It is an essential reading for academics, graduate students, policy makers and business practitioners. IJBA publishes articles twice in a year on April and October.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2021): April, 2021" : 6 Documents clear
A Telemarketing Guidance in Selling Banking Services: A Data Mining Approach Kattareeya Prompreing
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.176 KB) | DOI: 10.55927/ijba.v1i1.1

Abstract

In telemarketing activity, selecting the most potential customers are important because can reduce processing time and operational cost. Therefore, the ability to select the most likely buying customers are urgently needed. In this study, we propose a clear sequence in doing telemarketing activity based on the previous telemarketing data which applying data mining technique. We weight the importance of 16 customer characteristics through 45,211 observations from a Portuguese bank. Applying Random Forest algorithm along with Information Gain Ratio as a criterion and 10-fold Cross Validation, the model able to weight the importance of attributes and achieves 90.01 % accuracy in predicting telemarketing success. Furthermore, the rank of attribute importance was designed to be a guidance map in selecting potential targeted customers as a managerial implication.
The Attitude of Generation Z Towards YouTube Skippable Ads: An Empirical Study on Lokalate Ads Indriani Sandi Putri Nainggolan
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.389 KB) | DOI: 10.55927/ijba.v1i1.2

Abstract

As businesses’ marketing activities have migrated to various social media platforms, competition between advertisers to attain market’s attention is getting more intense. As a result, marketers began to involve manipulative and provocative strategies to steal market’s attention. This, however, lead to a boomerang effect where consumers develop negative attitude towards advertisement—especially among Generation Z as one of the biggest demographic groups. Aimed to fill in the knowledge gap regarding this issue, specifically in Medan, this research investigates how attitude towards advertisement is affected by several antecedents, namely informativeness, entertainment, and irritation. Multiple linear regression analysis is employed to assess the relationship between variables. The result shows that informativeness along with entertainment have positive effect on attitude towards advertisement, whereas irritation has negative effect. This indicates that marketers should consider these factors to create an effective advertisement that can evoke positive attitude among audiences.
Applying A Multi-Criteria Decision Making (MCDM) Approach to Determine the Key Criteria for Taipei Creative City of Design (TCCD) As A Business Centre in Taiwan Andi Sahputra Depari
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.68 KB) | DOI: 10.55927/ijba.v1i1.3

Abstract

The aim of this research is to find out the key criteria for Taipei Creative City of Design (TCCD) as a business center in Taiwan according to the experts in terms of creative city of design. The methodology of this study consists of searching for the creative city of design indicators, which worked as alternatives for applying a multi-criteria decision making (MCDM), called the Analytic Hierarchy Process (AHP). Based on criteria derived from the literature, data collection and analysis that has been done, the researcher found that the human-oriented, design week/month, and city development are relatively high and should be given priority at the current stage. These results could provide a theoretical foundation for designing further the Taipei Creative City of Design.
Human Resources Optimization (Case Study on Private Company in Palembang City) Ahmad Yani Kosali
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.315 KB) | DOI: 10.55927/ijba.v1i1.4

Abstract

This research uses qualitative research techniques with a case study approach. Data obtained through interviews, observation, and document review. The technique of selecting informants is carried out purposively (purposive sampling) based on certain characteristics, namely (1) Working in a private company, (2) Having at least one year experience as a manager, (3) Carrying out human resource management functions. The instrument in this study was the researcher himself as the main data collection tool. The purpose of this study was to determine the optimization of Human Resources in private companies in the city of Palembang. The results of this study indicate that human resources (employees) are company assets, which are the main support for organizational goals. Potential human resources need to be maintained by continuing to develop employee competencies and skills. The development program implemented by PT. Karya Makmur and PT. Tugu Mandiri Jaya in the form of training carried out based on NAT (Need Analysis Training). PT. Karya Makmur applies various training techniques, including: case studies, roleplaying, and a lecture system. Meanwhile, PT. Tugu Mandiri Jaya applies training techniques such as: in-service training, vestibule training, and simulation.
Portfolio Optimization Based on Clustering of Indonesia Stock Exchange: A Case Study of Index LQ45 Bakti Siregar; F. Anthon Pangruruk
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (700.196 KB) | DOI: 10.55927/ijba.v1i1.5

Abstract

In general portfolio optimization is a technique for selecting the proportion of assets to make a better portfolio by maximizing the expectation return while also minimizing the risk. In this research, k-means clustering method is used to classify stocks are listed on the LQ45 Index and select stocks whose has the price tend to be increase. Then the Markowitz approach is used to analyze the performance of optimization portfolio models that have a minimum variance in expected return and risk. After understanding the performance this portfolio optimization, future works will be able to apply this model in cloud computing or artificial intelligence. In addition, investors will develop a better view of the latest performance of the stocks are listed in LQ45 index and support them decide which stocks that should be include to their portfolios, thus prevent wrong decisions.
The Moderating Role of Electronic Word of Mouth (eWOM) in the Influence of Perceived Value on Repurchase Intention Aldrich Alfatera Unpapar
Indonesian Journal of Business Analytics Vol. 1 No. 1 (2021): April, 2021
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.329 KB) | DOI: 10.55927/ijba.v1i1.6

Abstract

The purpose of this research is to determine whether word of mouth which has developed into electronic (eWOM) in the digitalization era can strengthen or weaken the influence of the perceived value received by customers from previous purchases to repurchase or not. This study uses a quantitative approach, whereas the method of data collection was purposive sampling and has determined as many as 116 samples. The population in this research are followers of Shopee Indonesia in Instagram, with the various characteristics that have been determined by researchers to be taken as a sample for this research. The method of data analysis using equations from Cohen et al. (1975) in the journal of Sharma et al. (1981). The regression analysis is based on the researcher's comprehension of the negligibility correlation between moderation and predictor variables. Based on the results, Perceived Value has a significant and positive effect on Repurchase Intention, and the regression model analysis was found that the inclusion of the moderation variable, strengthened the influence of Perceived Value on Repurchase Intention by 61,5% from the previous results (55,8%).

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