Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal International Journal Of Science, Technology & Management (IJSTM)
Abuonji, Paul
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Application Of K-Means Clustering For Customer Segmentation In Grocery Stores In Kenya Omol, Edwin; Onyangor, Dorcas; Mburu, Lucy; Abuonji, Paul
International Journal of Science, Technology & Management Vol. 5 No. 1 (2024): January 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i1.1024

Abstract

The retail industry, particularly in the context of grocery stores, plays a vital role in meeting consumers' daily needs. To optimize marketing strategies and enhance customer satisfaction, understanding customer behavior and preferences is crucial. Customer segmentation, a powerful market research technique, enables businesses to group customers with shared characteristics into distinct segments, allowing targeted and personalized approaches. This article explores the application of the K-means clustering algorithm for customer segmentation in grocery stores within the unique context of Kenya. By leveraging transactional and demographic data from diverse grocery stores across Kenya, the study aims to identify homogeneous customer groups with similar purchasing behaviors and preferences. The data collection process involved obtaining consent from store owners and ensuring data privacy and security. Following data preprocessing, K-means clustering was applied, and various validation techniques were utilized to determine the optimal number of clusters. The results yielded valuable insights into customer segments, aiding the identification of key customer groups and their distinct preferences.
Utilization Of Digital Platforms In Realizing SDG 8.3 Entrepreneurship In Msmes With The 9F Model Approach: A Study On The Hijab Fashion Business In Sidoarjo District, East Java. Khairinia Kusuma, Alvitariani; Lindawati Lubis, Ratna; Abuonji, Paul
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1137

Abstract

The utilization of digital platforms has become a key strategy to increase the competitiveness of MSMEs in Indonesia, particularly in the hijab fashion sector. This study aims to analyze the impact of digital platforms and the implementation of the 9F Entrepreneurship Model on MSMEs in Sidoarjo District, as well as its contribution to achieving Sustainable Development Goal (SDG) 8.3, which focuses on promoting economic productivity and entrepreneurship. This qualitative research employs a case study method involving five MSMEs in the hijab fashion industry, selected through purposive sampling. Data were collected through in-depth interviews and direct observations of business owners. The findings indicate that integrating digital platforms such as Instagram, WhatsApp, Facebook, Shopee, and TikTok with the 9F model significantly enhances innovation, visibility, and flexibility in MSMEs’ responses to market changes. Among the 169 MSMEs in the fashion sector in Sidoarjo, 26 focus on hijab fashion, with five MSMEs participating in this research. These MSMEs reported improvements in market reach and operational efficiency through digital platforms. Additionally, the integration of digital strategies supports economic growth aligned with SDG 8.3. This approach shows that the combination of digital platforms and the 9F Entrepreneurship Model can be an essential strategy for developing MSMEs in the hijab fashion sector, contributing to local economic growth and government efforts to achieve SDG 8.3.
Cybersecurity with Quantum Cryptography: An Analysis of Current Techniques and Future Trends Omol, Edwin; Kibuku, Rachael; Abuonji, Paul
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1269

Abstract

Using a systematic literature review methodology comprising the following stages: Identification of Relevant Literature, Screening and Selection, Data Extraction and Synthesis, Qualitative Analysis, and SWOT Analysis, this paper explores the role of quantum cryptography in enhancing cybersecurity. The analysis begins with an introduction to the vulnerabilities of classical cryptography in the context of quantum computing advancements. It delves into Quantum Key Distribution (QKD) protocols such as BB84 and E91, Quantum Random Number Generators (QRNGs), and post-quantum cryptography algorithms in detail. Real-world case studies are presented to illustrate the practical applications and advancements in quantum cryptographic techniques. Additionally, the paper addresses the challenges associated with implementing quantum cryptography and proposes strategies for its integration with existing cybersecurity frameworks. The discussion on future trends highlights anticipated technological advancements, potential applications in quantum internet and blockchain security, suggested research directions, and policy implications. The significance of quantum cryptography in securing sensitive data and establishing trust in critical sectors is thoroughly emphasized.
Co-Authors Khairinia Kusuma, Alvitariani Kibuku, Rachael Mburu, Lucy Omol, Edwin Onyangor, Dorcas Ratna Lindawati Lubis