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Fahreza Dandy Sihmawanto
Universitas Semarang, Semarang
Computer Science & IT

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Analisis SWOT dan Critical Success Factor pada Sistem Informasi Logistik IGD Berbasis Google Workspace Ganef Tri Wijayatno; Fahreza Dandy Sihmawanto; Prind Triajeng Pungkasanti
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.917

Abstract

The Emergency Department (ED) Logistics Information System (IGD) is a crucial element in ensuring the smooth distribution of medical supplies, thus maintaining the quality of healthcare services. Utilizing cloud-based services such as Google Workspace offers an innovative solution for integrating various logistics functions into one platform, from stock management to real-time reporting. This study aims to evaluate the internal and external conditions of the Google Workspace-based ED Logistics Information System using a SWOT approach and to determine Critical Success Factors (CSFs) as the basis for development strategies. The research method used quantitative and qualitative descriptive analysis. Based on observations, questionnaires, and interviews with ED logistics staff, nurses, and management directly involved in system management, the IFAS analysis showed that the total score for weaknesses (0.75) was slightly higher than the strengths (0.73), indicating persistent internal constraints, particularly in data security, limited specific logistics features, and reliance on internet connectivity. Meanwhile, the EFAS analysis showed that external threats (0.75) outweighed opportunities (0.74), with the primary threats being dependence on third parties, the risk of data breaches, and staff resistance to the new system. The CSF analysis identified that system success is influenced by improved data security, the development of specialized logistics features, and ongoing management support. The results of this study are expected to serve as a reference in developing strategies to improve the effectiveness and reliability of cloud computing-based emergency room logistics systems.
Analisis Komparasi Metode SAW Dan TOPSIS Dalam Pemilihan Distributor Barang Gudang Fahreza Dandy Sihmawanto; Ganef Tri Wijayatno; Prind Triajeng Pungkasanti
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.925

Abstract

Distributor selection is a strategic decision in supply chain management that affects product availability, operational costs, and customer satisfaction. This study aims to compare and evaluate distributor selection decision-making using two Multi-Criteria Decision Making (MCDM) methods, namely Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Primary data was obtained through structured interviews with three expert practitioners at a distribution company. Five evaluation criteria were used: product quality (weight 0.30), product price (0.20), delivery accuracy (0.20), service response (0.15), and stock availability (0.15). Ten distributor alternatives were assessed using a 1–10 scale and processed independently using SAW normalization and TOPSIS vector normalization to generate rankings from each method. The results show that PT. Mitra Listrik Nusantara ranked first in both methods with a SAW score of 0.9414 and a TOPSIS score of 0.8057. Ranking consistency comparison through Spearman correlation analysis yielded a value of ? = 0.9515, indicating very high agreement between the two methods. This study provides practical contributions to warehouse management in adopting a data-driven approach for measurable and accountable distributor selection.
Co-Authors Ganef Tri Wijayatno Prind Triajeng Pungkasanti