Genesis Sembiring Depari- Doctor of Philosophy
- Lecturer at Pelita Harapan University
Genesis Sembiring Depari
- Doctor of Philosophy
- Lecturer at Pelita Harapan University
About
21
Publications
9,055
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51
Citations
Introduction
Genesis Sembiring is currently Lecturer in Universitas Pelita Harapan. He got his Bachelor Degree from Economic Education Department of Universitas Negeri Medan, Indonesia in 2015. In 2017, He got his Master of Business Administration degree from National Kaohsiung University of Science and Technology, Taiwan. In 2021, He got his PhD degree from COB of Southern Taiwan University of Science and Technology. Genesis does research in Social Media and Data Mining application in Business.
Current institution
Additional affiliations
February 2018 - May 2019
Telin
Position
- Sales Professional
Education
February 2018 - February 2021
February 2016 - July 2017
Field of study
- Business Administration
August 2011 - October 2015
Publications
Publications (21)
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...
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,...
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...
The COVID-19 pandemic has brought many changes in human life. Life processes that were previously done manually are now leading to the massive use of digital technology. This opens up a myriad of new opportunities to reach potential customers, serve existing customers and in some cases increase the efficiency of business operations. Thus, the abili...
Penelitian ini bertujuan untuk melihat pengaruh online customer review dan perceived quality terhadap keputusan pembelian pelanggan di Lazada. Data kuesioner disebarkan kepada 100 pengguna Lazada yang berdomisili di Medan dan Jakarta yang pernah bertransaksi di Lazada minimal satu kali. Metode yang digunakan adalah metode non-probabilitas dengan te...
p>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 an...
Tujuan dari penelitian ini adalah untuk mengetahui bagaimana social media marketing (Instagram) dan Tagline memberikan pengaruh terhadap Brand Awareness.Desain penelitian ini dengan menggunakan metode kuantitatif. Teknik mengambil sample yaitu non probability sampling. Teknik Analisa data yang digunakan adalah analisis deskriptif statistic, uji ins...
The COVID-19 pandemic has affected all aspects of human life. This influence can be in the form of a positive or negative impact. Among students, not a few negative effects have been felt, such as decreased learning outcomes, increased boredom and stress etc. In addition to the negative impacts, some positive impacts can be seen and felt. One of th...
During the 1970s and 1980s business competition saw the failure of many small and medium sized businesses, which resulted in growth of franchising as an alternative to
build new form of business using the well-known business system. Franchising system helped many companies to survive from uncertain global situation. Through a well organized system...
The COVID-19 pandemic has hit the world and bring unprecedented changes to all industries, including the Micro Small Medium Entrepreneur (MSME) of coffee shop businesses. This study aimed to determine the effect of the marketing mix on customer satisfaction to increase repurchase intention in modern coffee outlets. In addition, statistical modeling...
Due to human limitations of computational thinking, the quality of rational decision-making is constrained, and as a result, people encounter bounded rationality. A decision support system is widely demanding in tackling this problem, especially in real estate management. This study focuses on 3 main purposes. Firstly, comparing K-means, X-means an...
The purpose of this research is to develop a strategy to improve the number of social media engagement on Facebook both for paid and non-paid publications through a data mining approach. Several Facebook post characteristics were weighted in order to rank the input variables importance. Three machine learning algorithms performance along with dynam...
The growth of online economic transaction is experiencing a significant increase recently. One of the massive transactions carried out is through social media platforms. To reach more potential customers, several social media platforms offer paid ad serving services. In utilizing this service, business decision makers often need a decision support...
The purpose of this study was to obtain a robust algorithm for predicting Bitcoin return. To reduce dimensionality, we ran a weighting strategy using the information gain ratio technique. Support vector machine, deep learning, and random forest algorithms were examined and compared using processing time, receiver operator characteristic curve, and...
This paper focuses on evaluating the performance of paid publications (paid ads) on Facebook and proposes a managerial implication to maximize the paid publications’ performance in reaching as many people as possible with the greatest possible engagement. Artificial neural networks, Garson’s algorithm, and support vector machine weighting were used...
This paper identified the relevance of several publication’s characteristics of each publication in reaching more people through organic strategy using Support Vector Machines. Before finding the relevance of several inputs, 10 potential models were examined. Based on the results of 10 models examination, we found that Comments, Likes and Shares ha...
