Article Per Year (5 Year)
p-Index From 2021 - 2026
2.81
P-Index
This Author published in this journals
All Journal Journal of Language and Literature UG Journal Prosiding KOMMIT Prosiding PESAT Equator Journal of Management and Entrepreneurship Falah : Jurnal Ekonomi Syariah International Research Journal of Business Studies (E-Journal) Majalah Ilmiah Bijak Jurnal Review Pendidikan dan Pengajaran (JRPP) International Journal of Business, Law, and Education Bisnis Net : Jurnal Ekonomi dan Bisnis ProBisnis : Jurnal Manajemen ASEAN Marketing Journal West Science Interdisciplinary Studies West Science Interdisciplinary Studies Journal Innovations Computer Science International Research Journal of Business Studies
Teddy Oswari
Fakultas Ekonomi, Universitas Gunadarma
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Market Segmentation for Local Product Marketing Strategy Using K-Means and Dempster-Shafer Algorithm Implementation Hendrawan, Satya Arisena; Yusnitasari, Tristyanti; Oswari, Teddy
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.244

Abstract

Market segmentation represents a critical challenge in local product marketing, particularly when addressing complex consumer behavior patterns and uncertain classification environments in today's digital economy. This research develops and validates a hybrid model integrating K-Means Clustering with Dempster-Shafer theory to enhance segmentation accuracy and reliability for local product markets. The K-Means algorithm groups consumers based on demographic, psychographic, and behavioral characteristics, while Dempster-Shafer theory quantifies uncertainty and provides confidence measures for segment assignments. Data collection involved comprehensive consumer surveys and transaction records from 2,847 participants across multiple local product categories over a 12-month period. The hybrid model achieved superior performance with 87.5% accuracy, 85.3% precision, 86.1% recall, and 85.7% F1-score, representing improvements of 5.4% over standard K-Means and 8.2% over hierarchical clustering methods. Four distinct market segments were identified: Young Urban Professionals (28%), Value-Conscious Families (35%), Traditional Loyalists (22%), and Digital Natives (15%), each exhibiting unique purchasing patterns, digital engagement levels, and price sensitivity characteristics. Cross-validation yielded a consistency score of 0.91 with segment stability demonstrated through 8.3% churn rate and conflict measure K = 0.12, indicating substantial agreement among evidence sources. The methodology successfully addresses uncertainty in consumer classification while providing actionable insights for targeted marketing strategies, pricing optimization, and customer retention programs. Local product marketers can implement this framework to develop evidence-based marketing approaches that accommodate both traditional and digital consumer preferences, enabling competitive positioning in increasingly complex market environments. The research establishes a scalable and practical solution for small to medium enterprises seeking sophisticated market analysis capabilities without requiring extensive computational infrastructure or technical expertise.
Exploratory Analysis of Literature on the Impact of Globalization on Finance Judijanto, Loso; Utami, Eva Yuniarti; Setyawasih, Rianti; Oswari, Teddy
West Science Interdisciplinary Studies Vol. 1 No. 12 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i12.525

Abstract

This exploratory analysis delves into the extensive body of literature examining the intricate relationship between globalization and finance in the contemporary era. As global economic forces continue to reshape financial landscapes worldwide, this study synthesizes insights from diverse disciplines, including economics, finance, sociology, and political science. The analysis uncovers the transformative power of globalization on financial structures, institutions, and market behaviors, revealing a nuanced interplay that extends beyond economic transactions. The literature review explores key themes such as the new dynamics of financial globalization, its effects on developing countries, and the role of technology, market structure, and policy responses. Additionally, it addresses the social and political consequences, emphasizing the need for a comprehensive understanding to inform regulatory frameworks and international cooperation. The method section details a systematic bibliometric analysis of Human Resource Management research in the context of globalization, providing key metrics, trends, and research opportunities. The results and discussion section identifies research trends, key articles, and potential terms for future exploration. Drawing implications from the analysis, the study advocates for adaptive strategies and a forward-thinking perspective to navigate the complexities of the interconnected global financial landscape.
Predicting Credit Risks: Using Sustainability Criteria into Credit Risk Management Oswari, Teddy
International Research Journal of Business Studies Vol. 1 No. 2 (2008): August-November 2008
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/

Abstract

Many researchers have reported that there is a correlation between a company’s environmental performances with its financial performance. The role of criteria pertaining to sustainability and environmental orientation could play important roles in credit risk management process. The sustainability criteria can be used to predict financial performance of a debtor and, thus, improve predictive ability of a credit rating process. This article tests the relationship by using three sustainability measures as independent variables and traditional rating as dependent variable in a stepwise regression model. The result shows improvement in prediction. However, the use of additional criteria will increase cost in the prediction process. Further cost-benefit analysis related to the addition of those criteria would be valuable for credit risk management practices.  
The Influence of Digital Marketing, Destination Image, and Tourist Attraction on Revisit Intention through Tourist Satisfaction at Bogor Botanical Gardens Reliantama Tanamas, Randy; Oswari, Teddy
Equator Journal of Management and Entrepreneurship (EJME) Vol. 14 No. 3 (2026): Vol. 14 No. 3 (2026): Equator Journal of Management and Entrepreneurship
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/ejme.v14i3.110971

Abstract

This study aims to examine the influence of digital marketing, destination image, and tourist attraction on revisit intention through tourist satisfaction at the Bogor Botanical Gardens. This study uses a quantitative method by collecting data through an online questionnaire distributed to 150 tourists who have visited the Bogor Botanical Gardens. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results of the study indicate that digital marketing does not have a significant effect on revisit intention, while destination image and tourist attraction have a significant effect on revisit intention. Digital marketing, destination image, and tourist attraction have a significant effect on tourist satisfaction. Tourist satisfaction also has a significant effect on revisit intention. Furthermore, digital marketing, destination image, and tourist attraction influence revisit intention indirectly through tourist satisfaction. This research contributes to the development of literature on digital marketing, destination image and tourist attractions, as well as practical contributions for Bogor Botanical Gardens managers in increasing return visit interest through tourist satisfaction.
Co-Authors Achmad Benny Mutiara Agung, Prasodjo Aries Muslim Bambang Purwoko Defi Julianti Donny Erlangga E. Susy Suhendra Emy Haryatmi Erni Hastuti Fatmawati Sabur Freely, Janice Debora Halim, Akhriza Himanshu Dutt Ibrahim, Nur Wahyuningsih Imam Tazali Judijanto, Loso Muhammad Aria Wahyudi Muhammad Yusuf Muharam, Indra Fahreza Nurwijayanti Reliantama Tanamas, Randy Reni Diah Kusumawati Rifky Awaludin Rina Destiana Rowi, Armein Sjuhary Satya Arisena Hendrawan Setiawati, Apriliasih Shukla, Vijay Kumar TR, A. Taufik Hidayah Tristyanti Yusnitasari Utami, Eva Yuniarti