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All Journal Jurnal Sains Teknologi dan Sistem Informasi Sistem Pendukung Keputusan dengan Aplikasi
Dwi Hafizah Akbar
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Decision Sciences, Operations Research & Management

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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.
Perancangan Sistem Informasi Pendaftaran Magang Berbasis Web Pada PT Perkebunan Nusantara IV Regional I Dwi Hafizah Akbar; Abdullah Umar Muzammil; Tudi Firmanto
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4031

Abstract

Information technology has become a key element in improving operational efficiency and data management in various sectors. PT Perkebunan Nusantara IV Regional I, which is one of the companies operating in the plantation sector, utilizes this technology to optimize its internal processes. One of the company's main concerns is the internship program, which was previously managed manually, giving rise to various problems, including time inefficiency, high costs, and difficulties for prospective participants in monitoring their registration status. This research seeks to create a web-based information system designed to streamline the internship registration process, enhance efficiency, and alleviate the administrative load on the company. The method used in this approach is the waterfall method, which includes requirements analysis, design, implementation, testing and maintenance. Data was obtained through direct observation, interviews with employees, and literature study. This system was designed using PHP and the Laravel framework, as well as MySQL as the database system. The results of this research show that this information system speeds up the internship registration process, allows prospective participants to register and monitor their status online, and helps companies manage data in a structured and accurate way.
Co-Authors Abdullah Umar Muzammil Asri Akmaliyah Syahfitri Dini Alilmi Muhammad Eka Nurhaliza Febryani Pira Safitri Tudi Firmanto Yustria Handika Siregar