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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Journal of Computing Innovations and Emerging Technologies
Wahit Desta Prastowo
Universitas PGRI Yogyakarta
Computer Science & IT

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Analysis of A Decision Support System for the Selection of the Best Coffee Supplier at Arion Coffee Using AHP Diva Anjeliansyah Putri; Wahit Desta Prastowo
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 2 (2025): Volume 1 No 2
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i2.18

Abstract

This study aims to determine the best coffee supplier for Arion Coffee using the Analytical Hierarchy Process (AHP) as a structured multi-criteria decision-making approach. The evaluation involves four key criteria price, quality, delivery timeliness, and service with three supplier alternatives: Kopi Nusantara (SUP A), Java Beans Supply (SUP B), and Tropical Roast Indonesia (SUP C). Data were collected through interviews and expert evaluations from Arion Coffee’s procurement team. The AHP method was used to assign weights to each criterion, conduct pairwise comparisons, and calculate consistency ratios. Results indicate that quality holds the highest importance (0.623), followed by price (0.216), delivery timeliness (0.106), and service (0.055). Based on the overall synthesis, Tropical Roast Indonesia (SUP C) achieved the highest score (0.441), followed by Java Beans Supply (0.337) and Kopi Nusantara (0.214). The findings highlight that coffee bean quality is the dominant factor influencing supplier selection, reflecting Arion Coffee’s priority on maintaining product excellence over cost efficiency. The application of AHP provides a rational and objective framework for supplier evaluation, improving decision accuracy and reducing subjectivity.
Analysis of a Decision Support System for Selecting the Best Gaming Smartphone Using the Simple Additive Weighting (SAW) Method Kevin Gray Dasmasela; Wahit Desta Prastowo
Journal of Computing Innovations and Emerging Technologies Vol. 2 No. 1 (2026): Volume 2 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v2i1.19

Abstract

The rapid development of mobile hardware continues to reshape the performance landscape of gaming smartphones. Users increasingly require devices that balance high processing capability, thermal stability, display responsiveness, and price affordability. This study evaluates five gaming smartphones released in 2025 using the Simple Additive Weighting (SAW) method to determine the best performance-to-price option. The analysis considers five key criteria: benchmark performance, battery capacity, refresh rate, cooling system, and price. Each device is scored using normalized and weighted values to compute a final preference ranking. The findings show that the RedMagic 10 Pro achieves the highest score due to its strong performance metrics, advanced cooling system, and competitive pricing, making it the most balanced gaming smartphone in this comparison. The ROG Phone 9 Pro follows in second place, offering superior hardware but at a higher cost. Meanwhile, the RedMagic 10 Air emerges as a strong budget alternative, outperforming premium flagship phones in value-based analysis. This study demonstrates that multi-criteria decision-making provides clearer and more objective insights for consumers compared to single-parameter comparisons.
Analysis of The Most Effective Advertising Platform Selection Decision Support System Using The Analytical Hierarchy Process (AHP) Method Laela Rahmawati; Wahit Desta Prastowo
Journal of Computing Innovations and Emerging Technologies Vol. 2 No. 1 (2026): Volume 2 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v2i1.20

Abstract

This study aims to determine the most effective digital advertising platform among Google Ads, Meta Ads, and TikTok Ads by applying a Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) method. The research addresses the growing challenge faced by digital marketers in allocating advertising budgets effectively across multiple platforms with different strengths and audience characteristics. Analytical Hierarchy Process (AHP) was selected because of its ability to decompose complex multi-criteria decision-making problems into a structured hierarchical model. The analysis employed three main criteria: Cost, Target Audience, and Conversion. Pairwise comparisons and consistency testing were conducted based on expert judgments to ensure reliable evaluation results. The findings revealed that Conversion was the most influential criterion with the highest Eigen Vector (EV) value of 0.545, followed by Target Audience (0.273) and Cost (0.182). Through Global Synthesis analysis, Meta Ads achieved the highest total EV value of 0.3832, slightly outperforming Google Ads (0.3806), while TikTok Ads ranked third (0.2366). The results indicate that strong audience-targeting capabilities combined with competitive conversion performance make Meta Ads the most effective platform overall. This study provides strategic recommendations for advertisers and digital marketers to optimize advertising budget allocation based on business priorities and campaign objectives based on decision support system.
Co-Authors Diva Anjeliansyah Putri Kevin Gray Dasmasela Laela Rahmawati