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All Journal Jurnal Manajemen, Bisnis dan Kewirausahaan Programming and Algorithm Fundamentals
Dedy Tri Cahyono
Institut Teknologi dan Bisnis Dewantara
Decision Sciences, Operations Research & Management

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Peran Sistem Informasi dan Pemasaran Digital terhadap Keputusan Pembelian pada Marketplace Tokopedia Dedy Tri Cahyono; Jaja Miharja; Mujito Mujito; Andri Catur Trissetianto
Jurnal Manajemen, Bisnis dan Kewirausahaan Vol. 5 No. 3 (2025): Desember : Jurnal Manajemen, Bisnis dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jumbiku.v5i3.6109

Abstract

This study aims to analyze the influence of information systems and digital marketing on Tokopedia's consumer purchasing decisions. The background of this research is based on the increasing use of e-commerce platforms in Indonesia, especially Tokopedia, which demands the optimization of information systems and digital marketing strategies to drive purchase decisions. The method used is a quantitative approach with an accidental sampling technique of 100 Tokopedia user respondents. Data collection was carried out through an online questionnaire, and data analysis used multiple linear regression to test the partial and simultaneous influence of the two independent variables on the dependent variables. The results of the study show that both information systems and digital marketing have a positive and significant influence on purchasing decisions, both partially and simultaneously. Information systems are proven to be the dominant variable with the highest regression coefficient values, showing their important role in shaping user perception and comfort when transacting. Simultaneously, both variables contributed 83.8% to the purchase decision, while the rest were influenced by other factors outside the scope of the study. These findings affirm the importance of strengthening information systems and digital marketing strategies in increasing the effectiveness of e-commerce platforms and encouraging consumer purchasing behavior.  
Design and Analysis of a Novel Parallel Algorithm for Large Scale Graph Optimization with Dynamic Load Balancing in Heterogeneous Computing Environments Dedy Tri Cahyono; Jaja Miharja
Programming and Algorithm Fundamentals Vol. 1 No. 1 (2026): January: Programming and Algorithm Fundamentals
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/paf.v1i1.16

Abstract

This research focuses on the design and evaluation of a novel parallel graph optimization algorithm incorporating dynamic load balancing (DLB) to address inefficiencies in heterogeneous computing environments. Large-scale graph optimization problems, such as those in social networks, bioinformatics, and transportation systems, often suffer from computational imbalances when using traditional static load balancing approaches, leading to underutilized resources and prolonged execution times. The primary objective of this research is to develop an algorithm that can dynamically adjust workload distribution across processors, enhancing computational efficiency and scalability. The proposed method combines heuristic techniques, including region expansion and multilevel partitioning, with diffusive load balancing strategies to minimize inter-processor communication overhead. Experimental results demonstrate that the proposed algorithm reduces execution time by up to 40% compared to static methods, with optimized resource utilization and more balanced workload distribution. The scalability of the algorithm is also evident, as it adapts effectively to increasing problem sizes and processor counts. These findings suggest that dynamic load balancing is crucial for improving parallel graph optimization in real-world applications. Future work will focus on further enhancing the algorithm’s responsiveness to rapidly changing workloads and expanding its applicability to additional domains.
Co-Authors Andri Catur Trissetianto Jaja Miharja Mujito Mujito