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All Journal International Journal Software Engineering and Computer Science (IJSECS) Indonesian Journal Economic Review (IJER)
Untajana, Paulus Perey
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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Logistics Efficiency in Product Distribution with Genetic Algorithms for Optimal Routes Trisolvena, Muhammad Nana; Wattimena, Fegie Yoanti; Untajana, Paulus Perey
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2045

Abstract

This research aims to optimize product distribution routes in logistics using computer simulation approaches and genetic algorithms. This research produces more efficient distribution routes by utilizing mathematical models that reflect actual distribution processes, including variables such as warehouse locations, distribution points, product types, customer demand, and vehicle availability. Genetic algorithms are used to design optimal solutions with implementation stages, which include solution representation, population initialization, fitness evaluation, selection, crossover, mutation, and stopping criteria. The visualization results show that the genetic algorithm can produce more structured and efficient distribution routes, reducing total travel distance, distribution costs, and delivery time. Statistical analysis supports significant improvements in distribution performance after implementing the genetic algorithm, with substantial reductions in total mileage, distribution costs, and delivery times and substantial improvements in customer satisfaction. Financial analysis shows significant cost savings and positive ROI from investing in genetic algorithms, while sensitivity analysis reveals the impact of critical factors on distribution costs. This research confirms the financial and operational benefits of applying genetic algorithms in product distribution optimization, with significant efficiency, cost savings, and customer satisfaction results.
The Influence of Discipline, Motivation, Local Wisdom, and Work Environment on Employee Performance: The Role of Job Satisfaction as a Mediator Kopong, Anthoneta; Untajana, Paulus Perey; Lakamudi, Rahma Karnia
Indonesian Journal Economic Review (IJER) Vol. 5 No. 1 (2025): April
Publisher : Research Division Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/0pyy9545

Abstract

This study analyzes the impact of discipline, motivation, local wisdom, and work environment on employee Performance with job satisfaction as a mediator. Discipline and motivation play a significant role in enhancing employee Performance, while local wisdom fosters an atmosphere that supports harmony in the workplace. A conducive work environment also contributes to increased Performance and job satisfaction. The study uses a quantitative survey method involving 465 structural officials in regional work units (OPD). Multiple regression analysis techniques were employed to evaluate the relationships between variables. The findings show that work discipline is positively related to Performance and job satisfaction. Motivation was also found to enhance employee Performance, while local wisdom supports the creation of a better work climate. A positive work environment has a significant effect on both employee satisfaction and Performance. Job satisfaction strengthens the relationship between motivation, local wisdom, and work environment with employee Performance. However, work discipline does not require a mediator to enhance Performance. These findings emphasize the importance of creating a supportive work environment, fostering high motivation, and considering local organizational values to improve Performance.
Co-Authors Kopong, Anthoneta Lakamudi, Rahma Karnia Trisolvena, Muhammad Nana Wattimena, Fegie Yoanti