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All Journal Sistem Pendukung Keputusan dengan Aplikasi Bigint Computing Journal
Muhammad Eka
Universiti Pendidikan Sultan Idris
Computer Science & IT Decision Sciences, Operations Research & Management

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Leveraging Portfolio Websites as Business Process Management Enablers to Improve Operational Effectiveness: A Case Study of a Technology Service Company Abdul Malik; Muhammad Eka; Razvan Serban
Bigint Computing Journal Vol 4 No 1 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i1.1482

Abstract

Business Process Management (BPM) is a systematic approach to optimize business processes through continuous improvement cycles. This research aims to analyze the implementation of BPM in improving operational effectiveness at PT. Aguna Poda Natoras through the development of a company portfolio website. Using qualitative research methods through in-depth interviews, observations, and document analysis, this study found that the implementation of BPM through portfolio website development provides significant impact on process efficiency, service quality improvement, and better coordination between departments. This research contributes a novel framework demonstrating how portfolio websites can serve as operational enablers in BPM implementation, specifically in technology service companies, bridging the gap between digital transformation strategy and measurable business outcomes through quantifiable improvements in lead conversion (75%), sales cycle reduction (50%), and response time enhancement (80%). The portfolio website serves as a digital platform that supports marketing processes, client communication, and company branding. Success factors include management commitment, employee involvement, appropriate technology selection, and continuous improvement culture. This research provides practical contributions for companies in designing effective BPM implementation strategies through digital transformation.
A CRITIC–CoCoSo-Based Decision Support Model for Coffee Bean Quality Evaluation in Coffee Beverage Production Yustria Handika Siregar; Muhammad Eka; Asri Akmaliyah Syahfitri; Dini Alilmi; Dwi Hafizah Akbar; Nurhaliza Febryani; Pira Safitri
Sistem Pendukung Keputusan dengan Aplikasi Vol 5 No 1 (2026)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v5i1.1578

Abstract

Consistency in coffee bean quality is essential for maintaining flavor stability and production efficiency in coffee-based beverages. However, quality evaluation in small-scale coffee industries is often subjective and lacks a structured decision support system. This study aims to develop a decision support model for evaluating coffee bean quality using a Multi-Criteria Decision Making (MCDM) approach by integrating the CRITIC (Criteria Importance Through Intercriteria Correlation) and CoCoSo (Combined Compromise Solution) methods. The CRITIC method is employed to determine objective criterion weights based on data variability and inter-criteria correlations, while the CoCoSo method is used to rank alternatives. A total of 15 coffee bean alternatives were evaluated using seven criteria: price, availability, aroma, taste, color, texture, and caffeine content. The weighting results indicate that color (0.215) and price (0.191) are the most influential criteria in the evaluation process. The ranking results show that alternative A9 achieved the highest preference score (K = 4.1634), followed by A7 (K = 3.5747) and A6 (K = 3.4920). These results demonstrate that coffee beans with strong performance across sensory and physical attributes tend to achieve higher rankings. The proposed CRITIC–CoCoSo model provides a systematic, objective, and practical decision support tool that can assist small to medium-scale coffee industries in selecting high-quality raw materials, improving product consistency, and enhancing production efficiency.
Co-Authors Abdul Malik Asri Akmaliyah Syahfitri Dini Alilmi Dwi Hafizah Akbar Nurhaliza Febryani Pira Safitri Razvan Serban Yustria Handika Siregar