Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Journal of Management and Bussines (JOMB)
Ganang Kartiko Aji
Unknown Affiliation

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

Found 3 Documents
Search

 1 
Analisis Segmentasi untuk Menentukan Kebutuhan Sumber Daya Manusia Di Bidang Tenaga Kerja Outsourcing Industri Pengiriman dengan Menggunakan Metode K-MEANS Ganang Kartiko Aji; Ahmad Ilham Bachrie Harahap; Mufti Kusuma Firdaus; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cpvx3q57

Abstract

This study aims to identify the segmentation of outsourced workforce needs in the shipping industry to support a more effective recruitment strategy at PT FOC Indonesia. The research method used is K-Means Clustering, with a secondary data analysis approach from 120 workers categorized by age, marital status, job title, and country of employment. The results indicate seven main workforce clusters, each representing specific personas such as Experienced Captains, Engineers, and Electrical Specialists, as well as market preferences such as Korea, Japan, and China. The conclusion of this study is that data-driven workforce segmentation can assist companies in developing recruitment strategies, reducing turnover, and increasing the efficiency and competitiveness of the Indonesian workforce in the global market.   Keywords: K-Means, Workforce Segmentation, Shipping Industry, Outsourcing, Manning Agency
Perubahan Perilaku Pola Pinjaman akibat Pinjaman Fintech Online Menggunakan Grounded Theory Mufti Kusuma Firdaus; Ganang Kartiko Aji; Ahmad Ilham Bachrie Harahap; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/z4c8ja37

Abstract

This study aims to examine behavioral changes in people's borrowing patterns due to the use of fintech-based online lending services. The research method used was a qualitative approach with grounded theory techniques through in-depth interviews with six respondents consisting of online loan users, lenders, and financial experts, using a snowball sampling technique. The results indicate that behavioral changes are influenced by three main factors: mental health, social impact, and external factors, with external factors such as ease of access, dependency, and utilization of funds having the most dominant influence. The conclusion of this study is that fintech online lending services have shaped consumer behavior patterns and financial dependency in users, primarily due to easy access and minimal financial literacy. Therefore, stronger education and regulation are needed to minimize these negative impacts.   Keywords: Fintech, Behavior Change, Online Lending, Grounded Theory
Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim Bachrie Harahap, Ahmad Ilham; Ganang Kartiko Aji; Mufti Kusuma Firdaus; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cs7vg202

Abstract

This study aims to analyze PT Five Ocean Indonesia's partner segmentation in meeting maritime workforce needs as a basis for developing data-driven marketing strategies. The research method used a quantitative approach using the RFM (Recency, Frequency, Monetary) technique and data processing using SPSS. The results indicate that the company's partners can be categorized into three main segments: Best Customers, Potential Customers, and Potential Customers, based on their RFM scores. Most partners fall into the medium transaction value and medium request frequency categories, while only a small percentage consistently contribute high volumes. The study concludes that the RFM method is effective in identifying partner behavior and supporting the company in designing retention, reactivation, and market development strategies to increase competitiveness and business desirability in the maritime workforce industry.   Keywords: Partner Segmentation, Maritime Workforce, Data-Driven Marketing Strategy
Co-Authors Ahmad Ilham Bachrie Harahap Bachrie Harahap, Ahmad Ilham Jerry Heikal Mufti Kusuma Firdaus