Eliza Viandrayani Aziz
Institut Digital Ekonomi LPKIA, Indonesia

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Effectiveness of an automated billing management system for invoice generation in a logistics company Eliza Viandrayani Aziz; Tengku Ine Hendriana; Ade Oki Pebiansyah; Rini Ratnaningsih; Savira Putri Calista
International Journal of Applied Finance and Business Studies Vol. 14 No. 1 (2026): June: Applied Finance and Business Studies
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijafibs.v14i1.505

Abstract

Efficient revenue management is crucial for PT Jalur Nugraha Ekakurir (JNE) amidst surging delivery volumes. To optimize billing and reduce manual errors from the legacy MyOrion system, JNE migrated to the RAISE Billing Management System. However, implementation faces operational constraints including synchronization gaps requiring manual reconciliation, lengthy maintenance downtimes, and rigid administrative validations that hinder cash flow. This study evaluates RAISE's operational effectiveness at JNE Gedebage's Revenue Assurance unit, mapping billing procedures, identifying systemic bottlenecks, and formulating strategic solutions. Utilizing a Qualitative Descriptive approach, data was gathered through interviews with four purposively selected informants and triangulated with observations, document analysis, and literature reviews. Findings reveal that RAISE significantly optimizes workflows via 24-hour automated synchronization, accelerating high-volume processing, reducing human error, and offering billing flexibility. Despite an 8.7 staff rating, technical barriers like early-month maintenance disrupting peak cycles, filter failures on cash transactions, and reliance on external communication for troubleshooting prevent maximum efficiency. Conclusively, while RAISE enhances speed and accuracy, technical instability limits its potential. Strategic recommendations include shifting maintenance to off-peak mid-month periods, mandating tax ID validation during onboarding, refining cash transaction filters, and developing real-time reconciliation dashboards. Future research should quantitatively measure workflow efficiency, evaluate user satisfaction, explore predictive error-detection analytics, and assess the macroeconomic impacts of technical billing inefficiencies.
Translation of the SASIKAP employee performance appriaisal system (SASIKAP) at Bandung Regency Education Tengku Ine Hendriana; Eliza Viandrayani Aziz; Syaepudin Syaepudin; Janadi Rammelsbergi Thamrin; Tini Martini
Junal Ilmu Manajemen Vol 9 No 3 (2026): July: Management Science and Field
Publisher : Institute of Computer Science (IOCS)

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Abstract

This study examines the effect of the Sabilulungan Employee Performance Appraisal System (SASIKAP) on performance appraisal activities at the Department of Education of Bandung Regency. Previous studies have primarily focused on employee performance from the perspectives of motivation, competence, leadership, and work discipline, while empirical evidence regarding the effectiveness of digital performance appraisal systems in the public sector remains limited. This study addresses this gap by evaluating the implementation of SASIKAP through a quantitative approach involving 52 employees selected using probability sampling. Data were collected through questionnaires, observations, and interviews and analyzed using simple linear regression. The results indicate that SASIKAP has a significant positive effect on performance appraisal (t = 5.159 > t-table = 2.009, p < 0.05). The correlation coefficient (R = 0.589) indicates a moderate positive relationship, while the coefficient of determination (R² = 0.347) shows that SASIKAP explains 34.7% of the variance in performance appraisal activities, with the remaining 65.3% influenced by other factors. The novelty of this study lies in providing empirical evidence of a government-specific digital performance appraisal system. The findings contribute to digital human resource management literature and offer practical recommendations to improve system reliability, user competence, transparency, and accountability.