Garuda - Garba Rujukan Digital

CUSTOMER'S RESPONSES TOWARDS IN-VEHICLE COUPON RECOMMENDATION AN IMPLEMENTATION OF BUSINESS ANALYTICS CONCEPT Genesis Sembiring Depari; Efin Shu; Cut Alya Fachriza; Joceline Chow; Jerica Wijaya; Ryanto Winata
Jurnal Ekonomi Vol. 11 No. 02 (2022): Jurnal Ekonomi, Periode September 2022
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.629 KB)

Marketers are constantly searching for innovative tactics to increase sales performance. One of the most popular methods is through offering coupons to potential customers. However, selecting the most potential customers is not an easy task. Customer selection and segmentation become urgently important for business. To tackle these problems, an application of business analytics method is introduced. Besides, 3 machine learning algorithms such as random forest, naive bayes, and decision tree were utilized in predicting the likelihood of coupon to be accepted by users. Eventually, Random forest was found as the most accurate algorithm with the highest prediction accuracy

Positive determinants word-of-mouth of supermarket consumer in the COVID-19 pandemic era Sri Vandayuli Riorini; Genesis Sembiring Depari
Jurnal Manajemen dan Pemasaran Jasa Vol. 14 No. 2 (2021): September
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

This research, which was conducted in the era of the COVID-19 pandemic, aims to analyze the influence of the dimensions of service quality, competitive prices, customer satisfaction toward the positive word-of-mouth of Supermarket customers. Questionnaires were distributed to 350 respondents as samples using the non-probability sampling method and purposive sampling technique. Meanwhile, Structural Equation Modeling (SEM) is used to analyze the data. The results of the study indicate that Reliability, Assurance, Tangibles, Empathy, Responsiveness, Competitive Price have positive and significant effects onCustomer Satisfaction, which in turn would have a positive impact on positive word-of-mouth. Of all dimensions of service quality, the most powerful factor influencing consumer satisfaction shopping in supermarkets is reliability, and the one that gives consumers the most important feeling in providing quality services is Responsiveness. For further research, it is recommended to expand the scope of research in various types of businesses, not only in supermarkets.

MACROECONOMICS FACTOR: THE IMPACT ON STOCK PRICE INDEX Genesis Sembiring Depari
Klabat Accounting Review Vol 3 No 2 (2022): Klabat Accounting Review
Publisher : UNKLAB Business School

The objective of this study is to determine the link between macroeconomic variables and JCI, STI, and KLSE which are the stock price indexes of Indonesia, Singapore, and Malaysia stock price indexes. Multiple linear regression is used to investigate the influence of four macroeconomic factors on the stock market composite index, namely GDP growth, broad money (money supply), inflation, and interest rate spread. The finding indicates that inflation has a negative effect, while interest rate spread positively affecting the stock price Indexes. Investors may profit from this situation by purchasing blue chips when inflation and interest rates are rising. Keywords: GDP growth, inflation, interest rate spread, money supply, stock price indexes

BIG DATA AND METAVERSE TOWARD BUSINESS OPERATIONS IN INDONESIA Depari, Genesis Sembiring; Efin Shu; Indra, Indra
Jurnal Ekonomi Vol. 11 No. 01 (2022): Jurnal Ekonomi
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.147 KB)

The rapid growth of information and technology recently brings new opportunities in business operational. An optimal used of resources may leads into business efficiency and therefore minimizing operational cost. Moreover, new opportunities are also revealed by creating more innovations in business. Metaverse gain its popular name firstly in public awareness in October 2021, when Facebook, Inc. renamed it "Meta" and announced a multi-billion-dollar investment in Metaverse technology. In Indonesia, the concept of big data and metaverse technology is still growing and keep attracting attention of many researchers, academics, and business practitioners. Besides the promised opportunities, these technologies are facing several obstacles in adoption. Lack of available talents and infrastructure still two dominant topics to be discussed. Fortunately, Indonesian government shows a serious effort on pursuing a better infrastructure and available talents through providing supports and quality training.

The Influence of Social Media Marketing, Service Quality and Store Atmosphere on Consumer Purchase Decision Using Brand Image as Intervening Variable at PT. Berjaya Sally Ceria, Sour Sally – Cemara Asri Depari, Genesis Sembiring; Jocellyn, Jocellyn
Indonesian Journal of Advanced Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v3i7.10331

The purpose of this study is to determine the influence of social media marketing, service quality and store atmosphere on consumer purchase decisions by using Brand Image as an intervening variable. In this study, the author uses a quantitative research design and SPSS. The author uses descriptive and causal research. The sampling technique used is convenience sampling. The sample size is 110 customers. The results of the hypothesis test show that Social Media Marketing has an effect on Brand Image and Service Quality has an effect on Consumer Purchase Decisions. Service Quality and Store Atmosphere have no effect on Brand Image, Store Atmosphere has no effect on Consumer Purchase Decisions and Brand Image does not mediate the influence of social media marketing, service quality and store atmosphere on Consumer Purchase Decisions.

Understanding digital remittance adoption: The role of credibility, ease of use, and promotion with technological anxiety as a moderator in Indonesia Depari, Genesis Sembiring; Steven; Huang, Jen Peng
Jurnal Manajemen dan Pemasaran Jasa Vol. 18 No. 1 (2025): Maret
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v18i1.21593

This study examines the influence of credibility, perceived ease of use, and promotion on users' behavioral intention in using digital remittance services in Indonesia, with a focus on the moderating role of technological anxiety. It aims to understand how these factors shape user engagement and whether technological anxiety alters these relationships. A structured survey was conducted among Top Remit users to collect data on their perceptions and experiences. Findings indicate that credibility, ease of use, and promotion have a positive influence on behavioral intention, highlighting the importance of trust, platform simplicity, and effective marketing. While technological anxiety directly affects behavioral intention, it does not significantly moderate the relationships between credibility, ease of use, and promotion. Enhancing credibility, user experience, and balanced promotions fosters user adoption. The study offers practical insights for digital service providers to enhance user satisfaction and overcome technological barriers.

The Effect of Website Content, Its Perceived Usefulness and Perceived Ease of Use towards Customer Purchase Intention: Evidence From Love Bonito Sari, Mira; Depari, Genesis Sembiring
Asian Journal of Management Analytics Vol. 2 No. 4 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v2i4.6807

The goal of this study is to determine which of perceived utility, perceived usability, and website content has an impact on Love, Bonito's customers' intention to make a purchase. Additionally, it will investigate whether these three variables will have an impact on customers' intentions to buy. Data were gathered by questionnaires and the convenience sampling method as part of the quantitative data analysis method used in this study. Following the use of the Lemeshow formula, responses from 97 respondents were received. The outcome of the hypothesis test demonstrates that while website content has no influence on customers' intentions to make a purchase, perceived utility and perceived usability do. However, all three criteria simultaneously affect a customer's intent to buy. Additionally, the coefficient of determination test result reveals that 35.7% of the variables that affect purchase intention in this study are independent variables.The goal of this study is to determine which of perceived utility, perceived usability, and website content has an impact on Love, Bonito's customers' intention to make a purchase. Additionally, it will investigate whether these three variables will have an impact on customers' intentions to buy. Data were gathered by questionnaires and the convenience sampling method as part of the quantitative data analysis method used in this study. Following the use of the Lemeshow formula, responses from 97 respondents were received. The outcome of the hypothesis test demonstrates that while website content has no influence on customers' intentions to make a purchase, perceived utility and perceived usability do. However, all three criteria simultaneously affect a customer's intent to buy. Additionally, the coefficient of determination test result reveals that 35.7% of the variables that affect purchase intention in this study are independent variables.

Social Media Performance And Evaluation : An Approach To Business Analytics Concept Depari, Genesis Sembiring; Peranginangin, Adat Muli; Albert Owen; Luis Jonatan; Winnie Lauren
Jurnal Ilmiah Accusi Vol. 5 No. `1 (2023): Jurnal Ilmiah Accusi Vol 5(1) Mei 2023
Publisher : Program Studi Akuntansi Universitas Simalungun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/axmbd208

The growth of the internet has resulted in the digitalization of data, which has led to the emergence of big data opportunities. Significant amounts of digital data leave traces of what customers see, read, do, and judge, as well as information about their interests and preferences, resulting in a large amount of data that may be mined for learning experiences. Data mining, statistical algorithms, and machine learning approaches are used in descriptive, predictive, and prescriptive analytics to analyze, forecast, and optimize what is the most take effect, future trends, events, and behaviors based on various data types. A decision support system is widely demanded in tackling this problem, especially in understanding the interactions based on the type, and time from the Facebook post about branding data sets. This work attempts to offer descriptive, predictive, and prescriptive analytics to determine whether a post is worth paying for and promoting. This study is sought for deeper observations of posts on Facebook that get a lot of interaction and loyal users by the best algorithm compared with naive Bayes and decision tree which is using Random Forest with 90.35 % accuracy

Social Media Performance And Evaluation : An Approach To Business Analytics Concept Depari, Genesis Sembiring; Peranginangin, Adat Muli; Albert Owen; Luis Jonatan; Winnie Lauren
Jurnal Ilmiah Accusi Vol. 5 No. `1 (2023): Jurnal Ilmiah Accusi Vol 5(1) Mei 2023
Publisher : Program Studi Akuntansi Universitas Simalungun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/axmbd208

The growth of the internet has resulted in the digitalization of data, which has led to the emergence of big data opportunities. Significant amounts of digital data leave traces of what customers see, read, do, and judge, as well as information about their interests and preferences, resulting in a large amount of data that may be mined for learning experiences. Data mining, statistical algorithms, and machine learning approaches are used in descriptive, predictive, and prescriptive analytics to analyze, forecast, and optimize what is the most take effect, future trends, events, and behaviors based on various data types. A decision support system is widely demanded in tackling this problem, especially in understanding the interactions based on the type, and time from the Facebook post about branding data sets. This work attempts to offer descriptive, predictive, and prescriptive analytics to determine whether a post is worth paying for and promoting. This study is sought for deeper observations of posts on Facebook that get a lot of interaction and loyal users by the best algorithm compared with naive Bayes and decision tree which is using Random Forest with 90.35 % accuracy

Title

Found 19 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 19 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 19 Documents
Search