Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal International Journal Science and Technology (IJST) International Journal Multidisciplinary Science
Hari Setiabudi Husni
BINUS University
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
DELIZIA SELF SERVICE APPLICATION USING UX DESIGN AND ANDROID STUDIO Fernandus Felix Heriyanto; Hari Setiabudi Husni
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.893

Abstract

Delizia Self Service is a tart ordering service application using the concept of Self Service Technology (SST). In this application there are 2 kinds of prospective users, in terms of customers to order tarts who can choose directly the tarts they want and even customers can also customize tarts according to their tastes. And in terms of admin which is useful for managing products, from adding products, deleting products and modifying products. Based on its function, this application provides benefits such as providing alternative means of selling tarts, increasing sales value, increasing interest, user experience, satisfaction, and comfort of buyers when ordering tarts. This journal focuses on developing application recommendations by designing the UI/UX of the Delizia Self Service Application and realizing it using Android Studio, using the System Development Life Cycle (SDLC) method with the prototype model.
THE CONCEPT MODEL FOR DELIZIA SELF SERVICE APPLICATION Fernandus Felix Heriyant; Hari Setiabudi Husni
International Journal Multidisciplinary Science Vol. 2 No. 2 (2023): June: International Journal Multidiciplinary
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijml.v2i2.892

Abstract

Delizia Bakery & Cake is a company engaged in the bakery and cake food business. This observation is based on my internship experience at Delizia Bakery & Cake for approximately one year which was carried out on February 1, 2022 to February 13, 2023. In increasing digitization in business processes, providing innovation in digitizing service systems is something that needs to be considered, based on my experience as an intern at the Delizia Bakery & Cake company, I saw where sales of tart orders were usually done manually. By looking at the opportunities of other companies that have implemented digitalization in their business processes, for example McDonald’s, which implements their self service technology in ordering food, I found the idea of an alternative means of selling tarts by making a Self Service Techonlogy tart ordering system. The concept of self service technology is that customers can perform services that have been provided independently and automatically without involving store employees and services provided personally, besides that self service technology is also a new experience and adds to customer interest. and from the results of my research related to the concept of self service technology proposed by me to be used by Delizia Bakery & Cake conceptually approved by stakeholders.
Customer Experience And Satisfaction: The Impact Of Augmented Reality In Online Shopping Michelle Alicia Lynch; William Leo Walangitan; Aaron Kennedy; Hari Setiabudi Husni
International Journal Multidisciplinary Science Vol. 4 No. 1 (2025): February: International Journal Multidisciplinary Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijml.v4i1.2058

Abstract

The rapid growth of e-commerce presents challenges related to limited product visualization and customer engagement, which refers to the degree to which customers feel actively involved in the online shopping experience. Augmented Reality (AR) technology has the potential to offer an innovative solution by providing an immersive shopping experience that makes customers feel as if they are interacting directly with products through virtual simulations. This research aims to explore how AR can provide a deeper customer experience and satisfaction in online shopping, such as realistically visualizing products before purchase, with an example application of the "try before you buy" feature (virtual try-on) in online shopping applications. The approach to be used in this research is quantitative, with data collection from AR users in online shopping activities. The research results are not yet obtained and are in the conceptual stage, it is hoped that this research can reveal opportunities for the use of AR as a strategic technology that can support more attractive and efficient online shopping activities. Recommendations that can be made for the future include the need for valid data collection and analysis, and the use of appropriate methodologies to explore the effectiveness of AR in greater depth. Future research topics can explore the influence of AR on customer preferences based on specific types of products or categories in online shopping.
Digital Transformation of Poultry Farming Through Artificial Intelligence Laeli Fitrah; Hari Setiabudi Husni
International Journal Science and Technology Vol. 4 No. 3 (2025): November: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i3.2297

Abstract

The global poultry sector is under pressure to increase efficiency, sustainability, and animal welfare amid growing demand and resource constraints. Artificial Intelligence (AI) has emerged as a key enabler of digital transformation in poultry farming, yet evidence on practical adoption remains fragmented, especially for smallholder and UMKM contexts. Objective: This study systematically maps AI applications in poultry farming, classifies their functional domains and technological approaches, evaluates reported benefits and limitations, and identifies research gaps related to real-world implementation. Method: A PRISMA 2020-guided Systematic Literature Review (SLR) was conducted on 28 peer-reviewed, open-access, Scopus-indexed journal articles published between 2020 and 2025. Data were extracted on AI techniques, data modalities, application domains, implementation settings, and reported outcomes, then synthesized using thematic analysis. Findings: AI applications concentrate on disease detection and health monitoring, environmental control, behavior and welfare analysis, feed optimization, and productivity forecasting. Deep learning and computer vision dominate image/video-based tasks, while conventional machine learning supports multivariate prediction. Most studies report laboratory or pilot validation rather than full field deployment. Common barriers include high initial costs, limited digital literacy, infrastructure constraints (e.g., connectivity), and scarce localized datasets challenges that are particularly salient in developing-country settings. Implications: Adoption is most feasible through affordable, modular monitoring and decision-support solutions, supported by local dataset development, capacity building, and multi-stakeholder partnerships to translate pilots into sustained deployments. Originality/Value: This review integrates functional classification, technological mapping, and implementation maturity into a unified framework, offering an operational perspective on how AI can be scaled inclusively in poultry farming.
Co-Authors Aaron Kennedy Fernandus Felix Heriyant Fernandus Felix Heriyanto Laeli Fitrah Michelle Alicia Lynch William Leo Walangitan