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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
George Morris William Tangka
Universitas Klabat, Minahasa Utara
Computer Science & IT Decision Sciences, Operations Research & Management

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Designing an Intuitive UI/UX for Laundry and Household Cleaning Services Using a User-Centered Design Thinking Approach George Morris William Tangka; Joe Yuan Mambu; Edson Yahuda Putra
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6443

Abstract

The growing demand for footwear and accessory care reflects an increasing awareness of cleanliness and personal appearance. This study focuses on a cleaning service business specializing in shoes, bags, and strollers, with shoes as the primary focus. Operational challenges, including inefficient customer communication and delays due to high demand, impact customer satisfaction. Using the Design Thinking method, this research develops a user-centered User Interface (UI) and User Experience (UX) for the business's application. The Design Thinking process—empathize, define, ideate, prototype, and test—helped identify pain points and generate tailored solutions, such as improved navigation and task flow. Usability testing involved 18 participants performing key tasks, including booking services and tracking orders, with success rates and error metrics as evaluation criteria. The testing yielded a 70.6% task completion success rate, indicating improved service efficiency. However, the 54.4% misclick rate, higher than typical benchmarks for similar applications (30–40%), highlights significant navigation challenges. Future iterations will focus on refining the interface layout and enhancing task clarity to reduce errors and improve usability. These findings emphasize the value of iterative, user-centered design in addressing operational inefficiencies and enhancing the customer experience.
Sistem Lost and Found Berbasis Vision-Language Retrieval dengan Explainable AI untuk Lingkungan Smart Campus Enrico Samuel Djimesha; Regi Fernando Najoan; Argha Orion Silitonga; Wilsen Grivin Mokodaser; George Morris William Tangka
Journal of Information System Research (JOSH) Vol 8 No 1 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v8i1.10990

Abstract

Evidence for combined image-text retrieval in campus lost-and-found systems remains limited, and zero-shot CLIP's ability to distinguish item attributes and identities is uncertain. This study evaluates CLIP ViT-B/32 on an item-image collection covering eight categories. The controlled multimodal evaluation uses 404 images, 85 metadata-defined relevance groups as proxy ground truth, and 237 leave-one-out queries. Separate image-only validation uses 387 images from 79 provenance-based Object IDs after duplicate removal and quality control; each Object ID contains multiple images of the same physical item. In Object-ID validation, CLIP achieved Recall@1 of 0.674, Recall@10 of 0.935, and mAP of 0.419 (95% object-cluster bootstrap CI: 0.369–0.469). In multimodal evaluation, image-only achieved mAP 0.624, text-only 0.409, and image+text reached the best mAP of 0.732 at α=0.5, selected in four of five group cross-validation folds. Ablation showed that the single fused-index outperformed the three-index configuration (mAP 0.715 versus 0.692); therefore, three-index is not claimed as an accuracy improvement. Direct Indonesian input to English CLIP achieved mAP 0.163, compared with 0.363 using multilingual CLIP and 0.409 through translation. Attention Rollout is positioned only as a supporting visualization because its deletion-curve AUC of 0.871 lacks a random-occlusion baseline. These results indicate the benefit of image-text fusion under controlled evaluation but do not establish performance for free-form user descriptions or production readiness.
Co-Authors Argha Orion Silitonga Edson Yahuda Putra Enrico Samuel Djimesha Joe Yuan Mambu Regi Fernando Najoan Wilsen Grivin Mokodaser