Multidisciplinary Journal of Business, Science, Technology & Humanities is a journal that publishes research articles covering multidisciplinary fields, including business, science & technology, and social & humanities. The manuscripts or journal articles published in RUBINSTEIN Volume 4 Number 1 features 6 articles contributed by 19 authors from 5 prestigious institutions.


From Indonesia: Buddhi Dharma University, University of Pamulang, Bina Nusantara University, 17 Agustus 1945 Jakarta University, and Yuppentek Indonesia University.

Include topics such as: Comparative Analysis, Evidence from LQ45 Companies in Indonesia, Tourism Destinations in Tangerang City, Model for Optimizing Automotive Marketing Strategies, Impulsive Buying with Utilitarian Moderation, Role of Sub-District Administration.

DOI: https://doi.org/10.31253/rubin.v4i1

Published: 2025-12-01

Comparative Analysis of Support Vector Machine, Decision Tree, and Naive Bayes in Evaluating Machine Learning Effectiveness

1-15

DOI : https://doi.org/10.31253/rubin.v4i1.4041
Abstract views: 307 / PDF downloads: 293

Gender Representation in Corporate Annual Report Covers: Evidence from LQ45 Companies in Indonesia

16-25

DOI : https://doi.org/10.31253/rubin.v4i1.4020
Abstract views: 201 / PDF downloads: 164

Empowering MSMEs Through Community Assistance to Develop Chinese Creative Cultural Industries as Tourism Destinations in Tangerang City

26-43

DOI : https://doi.org/10.31253/rubin.v4i1.4030
Abstract views: 149 / PDF downloads: 133

Web-Based Car Sales Prediction System Using the ARIMA (Autoregressive Integrated Moving Average) Model for Optimizing Automotive Marketing Strategies

44-56

DOI : https://doi.org/10.31253/rubin.v4i1.4039
Abstract views: 223 / PDF downloads: 205

The Influence of Streamer Attractiveness, Content Marketing, and Hedonic Motives on Impulsive Buying with Utilitarian Moderation

57-73

DOI : https://doi.org/10.31253/rubin.v4i1.4040
Abstract views: 177 / PDF downloads: 417

The Role of Sub-District Administration in Verifying and Validating Extreme Poverty Data

74-86

DOI : https://doi.org/10.31253/rubin.v4i1.4059
Abstract views: 168 / PDF downloads: 136