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This Author published in this journals
All Journal Jurnal EMT KITA International Journal of Management Science and Information Technology (IJMSIT) Indonesian Journal Economic Review (IJER)
Stelly Julia Macpal
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Faktor Harga dan Mutu dalam Keputusan Pembelian Konsumen terhadap Sepeda Motor Listrik GESITS di Indonesia Aji, Achmad Maezar Bayu; Firmansyah, Alfian; Macpal, Stelly Julia
Jurnal EMT KITA Vol 8 No 1 (2024): JANUARY 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v8i1.2156

Abstract

In the development of the electric motorbike industry in Indonesia, this research focuses on the influence of price and quality on vehicle purchasing decisions, especially Gesits electric motorbikes. Manufacturers, facing fierce competition, continue to improve product quality, price and design to meet consumer needs. By involving 52 respondents (25% of the population of 207 units sold), this study exceeds the recommended minimum sample size. The results of multiple linear regression analysis show that price and quality factors have a significant correlation and strongly influence Gesits purchasing decisions. This research contributes to understanding the purchasing factors of electric motorbikes, providing strategic insight for manufacturers in improving quality and pricing.
The Influence of Workload and Motivation on Employee Performance through Job Satisfaction Souisa, Novita; Macpal, Stelly Julia; Biay, Agustinus
Indonesian Journal Economic Review (IJER) Vol. 5 No. 1 (2025): April
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v5i1.509

Abstract

This study examines the impact of workload and motivation on employee Performance through job satisfaction. Employee Performance plays a crucial role in achieving organizational goals. Excessive workload can lead to stress and decrease job satisfaction, while high motivation can enhance employees' dedication and enthusiasm in performing their tasks. This research adopts a quantitative approach with a sample of 190 employees from government institutions in Indonesia. Data were collected using questionnaires with a Likert scale to measure the variables of workload, motivation, job satisfaction, and Performance. The results of the analysis show that workload negatively affects job satisfaction, which, in turn, impacts Performance. Motivation was found to positively influence Performance, with job satisfaction as a mediator linking motivation and Performance. These findings indicate that effective workload management and a supportive environment are crucial in maintaining employee motivation and job satisfaction, ultimately improving their Performance. While this study's model explains a significant portion of the variation in job satisfaction and employee Performance, other factors influencing Performance may not have been identified in this research.
Application of Lean Logistics Framework to Enhance Inventory System Efficiency in SMEs Stelly Julia Macpal; Muhammad Nana Trisolvena; Andi Andi
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8533

Abstract

Managing inventory effectively remains a significant challenge for Small and Medium Enterprises (SMEs), especially when processes for recording, storing, and procuring lack a structured control system. Such deficiencies can result in mismatches between physical stock and administrative records, prolonged product search times, and inaccuracies in identifying purchasing needs. This study investigates the implementation of a Lean Logistics framework rooted in Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) to enhance inventory efficiency in SMEs. Utilizing a descriptive analytical approach, data were gathered through observations of procurement activities, goods receipt, storage, stock recording, product distribution, interviews with owners and employees, and inventory documentation. Performance metrics included Inventory Turnover (IT), Inventory Record Accuracy (IRA), Mean Absolute Percentage Error (MAPE), and Lead Time. Results indicate that adopting Lean Logistics practices, such as 5S, Kanban, demand forecasting, and inventory control, led to notable improvements. Inventory Turnover rose from 2.18 to 4.35 times per year, IRA increased from 79.5% to 95.8%, MAPE decreased from 23.8% to 8.9%, and Lead Time was reduced from 5 days to 2 days.
Co-Authors Achmad Maezar Bayu Aji Andi Andi Biay, Agustinus FIRMANSYAH, ALFIAN Muhammad Nana Trisolvena Souisa, Novita