Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Management and Bussines (JOMB) Prosiding Seminar Nasional Ilmu Teknik
Stanley Huang
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Marketing Ads Using Decision Tree Analysis Stanley Huang; Aminah Aidia; Eleora Christy So; Hanifa Raudhany; Jason Bryan Setiono; Jonathan Adrian Lie; Marcello Nathanael Rianto; Nathanael Agustinus; Nurhayati, Nurhayati
Journal of Management and Bussines (JOMB) Vol. 8 No. 3 (2026): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/f75gzk42

Abstract

This study aims to analyze the effectiveness of digital marketing advertisements in the fashion industry by applying Decision Tree Analysis to compare the performance of TikTok and Instagram based on engagement rate, conversion rate, and potential purchase outcomes. The research method used is a qualitative approach through documentation and library research methods by collecting and analyzing secondary data from academic journals, statistical reports, and relevant digital marketing sources. The collected data were processed using the Decision Tree Analysis method to identify the most effective social media platform and content format in generating consumer engagement and purchase conversion. The results show that TikTok provides higher purchase potential compared to Instagram despite having a lower engagement rate. Based on the analysis using a fixed 8,000 views comparison, TikTok generated 326 engaged users and 11 estimated purchases, while Instagram posts generated 812 engaged users but only 8 estimated purchases. Furthermore, TikTok achieved a higher conversion rate of 3.40% compared to Instagram’s 1.08%, indicating stronger effectiveness in encouraging direct purchasing behavior. The findings suggest that TikTok is a more suitable platform for businesses aiming to increase sales conversion, while Instagram remains beneficial for improving brand awareness due to its higher engagement performance. In conclusion, Decision Tree Analysis can assist businesses in making data-driven marketing decisions by identifying the most effective advertising platforms and content strategies for optimizing digital marketing performance.   Keywords: Decision Tree Analysis, Digital Marketing, Fashion Industry, Social Media
Analisis Dualitas Kesejahteraan: Pengaruh Korupsi dan Stabilitas Ekonomi terhadap Human Development Index dan Indeks Kebahagiaan di Negara ASEAN (2015-2023) Stanley Huang; Felix Chandra Dinata; Nael Venicho Irwan Saputra; Yossinomita Yossinomita
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.118

Abstract

This study focuses on analyzing the welfare index in the ASEAN region (covering six major countries) by comparing two perspectives: objective welfare (Human Development Index/HDI) and subjective welfare (World Happiness Index). Using a balanced panel dataset from 2015–2023, the research applies different econometric approaches for each model, namely the Random Effect Model (REM) for HDI analysis and the Common Effect Model (CEM) for happiness analysis. Empirical findings indicate a striking welfare paradox across the six sample countries. In the objective dimension (HDI), economic stability (GDP) and governance free from corruption (CPI) are proven to be the main positive and significant drivers, while government expenditure (GovExp) shows no meaningful impact, suggesting budget inefficiency. Conversely, in the subjective welfare model, the Easterlin Paradox emerges, as GDP and the corruption index have no significant effect on the happiness index. The happiness levels in these six countries tend to be more influenced by government expenditure. This study concludes that strong economic fundamentals and clean governance free from corruption are essential to building a high quality of human life, whereas citizens’ life satisfaction is more determined by the direct presence of the state through public spending.
Co-Authors Aminah Aidia Eleora Christy So Felix Chandra Dinata Hanifa Raudhany Jason Bryan Setiono Jonathan Adrian Lie Marcello Nathanael Rianto Nael Venicho Irwan Saputra Nathanael Agustinus Nurhayati, Nurhayati Yossinomita