About the Journal

Journal of Applied Business and Technology (e-ISSN: 2722-5380 ; p-ISSN: 2722-5372) is published by Institut Bisnis dan Teknologi Pelita Indonesia (IBTPI) as a media for publication of articles in academia in terms of Business Management and Technology. The editorial team accepts scientific articles in the form of research results, theory application, analytical studies, and literature studies on Business Management and Technology. Journal of Applied Business and Technology also accumulates the literature reviews and critiques in improving theories and researches and offer contributions in delevoping educational methodology in the area of Business Management and Technology. Journal of Applied Business and Technology is published every four months (three times a year) which is on January , May, and September. 

Current Issue

Vol. 6 No. 3 (2025): Journal of Applied Business and Technology
DOI: https://doi.org/10.35145/jabt.v6i3
Published: 2025-09-30

Articles

  • Implementation of Digital Technology by Women Entrepreneurs in Singkawang City

    Retno Larasatie, Dwi Prasetyani, Sarjiyanto Sarjiyanto
    162-168
    DOI: https://doi.org/10.35145/jabt.v6i3.181

  • Green Intellectual Capital, Enterprise Risk Management and Corporate Social Responsibility on Environmental Performance and Financial Performance

    Suhardjo Suhardjo, Khomsiyah Khomsiyah
    169-192
    DOI: https://doi.org/10.35145/jabt.v6i3.216

  • Optimization of Body Mass Index Classification Using Machine Learning Approach for Early Detection of Obesity Risk

    Dewi Nasien, Steven Owen, Fenly Fenly, Johanes Johanes, Frendly Lombu, Leo Leo, Zirawani Baharum
    193-200
    DOI: https://doi.org/10.35145/jabt.v6i3.201

  • Is The Corporate Governance Important for Firm Value?

    Afera Wijayanti, Etty Murwaningsari, Anthony Ferdinand
    201-213
    DOI: https://doi.org/10.35145/jabt.v6i3.179

  • Empowering the UMKM Sector in East Java through PROKESRA: A Study of Sales Growth and Labor Absorption

    Asy’arie Fance Indriyanto, Riharjo Ikhsan Budi, Ardini Lilis, Nur Fadjrih Asyik
    214-229
    DOI: https://doi.org/10.35145/jabt.v6i3.219

  • Design and Evaluation of a Mudharabah-Based Dairy Goat Investment Model

    Nicholas Renaldo, Achmad Tavip Junaedi, Suhardjo Suhardjo, Amries Rusli Tanjung, Sri Indrastuti, Umar Faruq, Sulaiman Musa, Nabila Wahid
    230-238
    DOI: https://doi.org/10.35145/jabt.v6i3.302
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Journal of Applied Business and Technology (e-ISSN: 2722-5380 ; p-ISSN: 2722-5372) is published by Institut Bisnis dan Teknologi Pelita Indonesia (IBTPI) as a media for publication of articles in academia in terms of Business Management and Technology. The editorial team accepts scientific articles in the form of research results, theory application, analytical studies, and literature studies on Business Management and Technology. Journal of Applied Business and Technology also accumulates the literature reviews and critiques in improving theories and researches and offer contributions in developing educational methodology in the area of Business Management and Technology. Journal of Applied Business and Technology is published every four months (three times a year) which is on January, May, and September. 

Subject

Business Management

  1. Innovation Management
  2. Business Sustainability
  3. Business Ethics
  4. International Business Management
  5. E-commerce & Digital Management
  6. Entrepreneurship
  7. Management Issues in Accounting and finance
  8. International Trade
  9. Marketing Management
  10. Customer Relationship Management
  11. Human Resource Management
  12. Leadership
  13. Operational and Quality Management
  14. Strategic Management
  15. Management Information System
  16. Knowledge Management
  17. Organizational Behavior and Industrial Relations
  18. Halal Management

Technology

  1. Internet of Things
  2. Blockchain
  3. Big Data
  4. Smart Cities
  5. Machine to Machine
  6. Neuromorphic Systems
  7. Data Analytics
  8. Mobile Applications
  9. Digital Transformation
  10. Software Engineering and Quality
  11. Business Intelligence
  12. Computing
  13. Artificial Intelligence
  14. Machine Vision
  15. Networking
  16. Security
  17. e-Learning