Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Mathematics, Computation and Statistics (JMATHCOS)
Lailatul Maziyah Wildan Mufaridho
Sekolah Tinggi Manajemen Asuransi Trisakti
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Cash Pooling Segmentation Using Cluster Analysis as a Cash Deficit Risk Mitigation Strategy for PT Jasa Raharja in Kalimantan Khaerun Nisa SH; Aisyah Zarkasi; Andi Nurul Tenriwali Hasanuddin; Lailatul Maziyah Wildan Mufaridho; Muhammad Isbar Pratama
Journal of Mathematics, Computations and Statistics Vol. 9 No. 3 (2026): Volume 09 Issue 03 (September 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/2dvnnf42

Abstract

Uneven cash flow distribution across operational units may create idle cash in some units while exposing others to cash deficit risk. This study aims to formulate an adaptive and segmented cash pooling strategy for nine operational units of PT Jasa Raharja in Kalimantan by considering both cash flow scale and relative volatility. This study integrates K-Means clustering and Z-score standardization into corporate cash pooling policy design, enabling operational units to be segmented based on their relative liquidity risk rather than relying solely on nominal cash volume.  The study uses secondary quantitative financial data from nine operational units over a 36-month period from January 2023 to December 2025. K-Means clustering is applied through two models: a scale-based model using mean cash inflow and standard deviation, and a volatility-based model using the Coefficient of Variation (CV). The findings reveal a substantial divergence between nominal cash scale and relative cash flow risk. Central Kalimantan Branch, classified as moderate based on nominal cash scale, emerges as a high-volatility unit when assessed using CV, whereas Tarakan Office is identified as a low-volatility unit despite its relatively low cash inflow. Cash pooling policies should therefore adopt a differentiated framework based on both cash scale and relative volatility. High-volume stable units require aggressive daily sweeping, high-risk volatile units require dynamic cash buffers supported by standby credit facilities, while low-volume stable units are more appropriately managed through periodic sweeping and minimal cash reserves
Co-Authors Aisyah Zarkasi Andi Nurul Tenriwali Hasanuddin Khaerun Nisa SH Muhammad Isbar Pratama