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Jurnal Informatika Ekonomi Bisnis
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 27148491     EISSN : 27148491     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
The Jurnal Informatika Ekonomi Bisnis (INFEB) is an interdisciplinary journal. It publishes scientific papers describing original research work or novel product/process development. The objectives are to promote an exchange of information and knowledge in research work, and new inventions/developments on the use of Informatics in Economics and Business. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping a track of original research and development work being carried out in the broad area of informatics in economics and business through a scholarly publication.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 673 Documents
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Implementation for Plant Disease Classification via Telegram Restu Gilang Prasetyo; Afwan Anggara
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1407

Abstract

This study aims to develop an automated system for classifying vegetable plant diseases using the MobileNet algorithm integrated with a Telegram Bot. The system is designed to assist users, especially farmers, in identifying plant diseases quickly and efficiently through leaf images. The research method applies a Convolutional Neural Network with the MobileNet architecture due to its lightweight and efficient computational performance. The dataset used in this study consists of tomato leaf images obtained from a public dataset on Kaggle, which includes several disease categories and healthy leaves. The system is implemented using Python and integrated with the Telegram Bot API to enable real-time interaction. The process begins when users upload leaf images, followed by image preprocessing and classification using the trained model. The results show that the system is capable of providing accurate classification with good performance and can handle various input conditions. In addition, the integration with Telegram makes the system easily accessible without requiring additional applications. Therefore, this study offers a practical and efficient solution for early detection of plant diseases using deep learning technology.
The Role of Influencer Credibility in Shaping Generation Z Purchase Decisions: Evidence from Traditional Cosmetic Brand Repositioning Fadhilah; Galih Ginanajar Saputra; Arum Wahyuni Purbohastuti
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1408

Abstract

The rapid growth of social media has transformed marketing communication strategies, particularly in engaging Generation Z consumers. This study aims to examine the role of influencer credibility comprising trustworthiness, expertise, and attractiveness in shaping parasocial interaction and its impact on purchase decision within the context of traditional cosmetic brand repositioning. Specifically, this research focuses on the collaboration between Puteri Indonesia influencers and Mustika Ratu on Instagram. A quantitative approach was employed using a survey method with purposive sampling, involving Generation Z respondents who actively use Instagram and have been exposed to influencer marketing content. The data were analyzed using Partial Least Squares Structural Equation Modeling. The results reveal that all dimensions of influencer credibility have a positive and significant effect on both parasocial interaction and purchase decision. Furthermore, parasocial interaction demonstrates a strong influence on purchase decision and serves as a significant mediating variable in the relationship between influencer credibility and purchase decision. These findings highlight that influencer effectiveness is not solely determined by credibility in delivering information but also by the ability to build emotional connections with audiences. The study contributes to the literature by integrating source credibility and parasocial interaction theories in the context of digital marketing and provides practical insights for brands in selecting credible influencers and designing engagement-driven content strategies.
Impact of Human Capital-Based Service Quality: A Comparative Study of Visit Levels Before and After HR Optimization Imalinda Deryane; Ezky Tiyasiningsih; Mutiara Maulina Arzakiyah
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1423

Abstract

This research investigates the strategic impact of human resource capacity building on patron engagement through a comparative analytical framework. Employing a quantitative methodology with an action research design, the study evaluates the efficacy of managerial interventions at the Bintan Regency Library. The empirical analysis was conducted on visit statistics from 80 sample units, utilizing the Paired Sample T-Test to measure comparative outcomes post-intervention. The findings demonstrate a substantial increase in visit volumes, evidenced by a mean growth of 3.80 points, representing a 131.03% escalation. Statistical verification yielded a significance value of 0.000, confirming the acceptance of the alternative hypothesis. This study concludes that the optimization of human capital serves as a critical determinant in enhancing institutional performance and fostering a dynamic public literacy ecosystem.

Page 68 of 68 | Total Record : 673

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