Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal bit-Tech Jurnal Multidisiplin Sahombu Jurnal Ilmu Komputer dan Sistem Informasi
Prasasti Karunia Farista Ananto
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Implementasi Metode Double Diamond Dalam Perancangan UI/UX Aplikasi Halopet Marketplace Layanan Hewan Peliharaan Mahadevi Katarina Sabila; Seftin Fitri Ana Wati; Prasasti Karunia Farista Ananto
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.400

Abstract

The rapid growth of the pet care industry in Indonesia has not been accompanied by integrated service systems, resulting in various issues such as limited information, inefficient booking processes, and poor schedule management. This study aims to design the UI/UX of the Halopet application as a pet care service platform using the Double Diamond method to produce user-oriented design solutions. The evaluation was conducted using Heuristic Evaluation and Usability Testing based on the ISO 9241-11 standard. The results show an effectiveness score of 97% and an efficiency score of 97.19%, with a System Usability Scale (SUS) score of 92, categorized as excellent. These findings indicate that the proposed application design is capable of improving usability, efficiency, and user satisfaction in accessing pet care services. This study also contributes by proposing an integrated pet care service platform design through a UI/UX approach focused on user experience and a high level of usability.
UI/UX Design for the Mobile-Based Caktrip Application in the Tourism Sector in Surabaya Prasasti Karunia Farista Ananto; Devina Nur Rahmadani S.P; Aurelia Salsabiila Putri; Melinda Citrasena Cahyaningrum; Bondan Setya Adi N
Jurnal Multidisiplin Sahombu Vol. 6 No. 01 (2026): Jurnal Multidisiplin Sahombu, January 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The tourism sector in Surabaya has shown significant potential; however, information regarding tourist destinations remains fragmented, making it difficult for visitors to obtain accurate data related to locations, ticket prices, facilities, and parking availability. This study aims to design the UI/UX of the CakTrip mobile-based tourism application as a solution to provide integrated destination information and streamline the ticket-booking process. The Design Thinking method was employed, consisting of the Empathize, Define, Ideate, Prototype, and Testing stages. In the Empathize stage, findings revealed that users experience difficulties in accessing clear and centralized tourism information. The Define stage resulted in a problem formulation emphasizing the need for more comprehensive and structured information. During the Ideate stage, various alternative solutions and user flows were developed to support easier navigation. Subsequently, the application prototype was created using Figma to visualize core features such as destination search, location details, ticket booking, and parking slot availability. The Testing stage was conducted to evaluate usability and ensure that the proposed design aligns with user needs. The results indicate that the Design Thinking approach is effective in producing an informative and user-friendly interface that enhances the overall experience of tourists planning their activities in Surabaya.
Performance Analysis of Reasoning Models in RAG-Based Question Answering System for University Admission Services Muhammad Surya Adhi Setiawan; Arista Pratama; Prasasti Karunia Farista Ananto
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3707

Abstract

Access to accurate, relevant, and timely information is crucial for prospective university students; however, conventional information services often struggle with high query volumes and the risk of generative hallucinations in automated systems. This study investigates whether reasoning-oriented large language models provide measurable improvements in response quality within a Retrieval-Augmented Generation (RAG) architecture for university admission services. The study hypothesizes that internal chain-of-thought reasoning improves factual grounding compared with non-reasoning models under identical retrieval conditions. A vector-based institutional knowledge base was constructed from 30 official admission sources using VoyageAI embeddings and evaluated on a multilingual dataset of 353 real-world inquiries in Indonesian, English, and Javanese dialects. To isolate the effect of reasoning capabilities, retrieval outputs and prompt configurations were controlled across all models. Performance was evaluated using the RAGAS framework across six models categorized as reasoning (DeepSeek-R1, Gemini-2.5-Flash, o4-mini) and non-reasoning (DeepSeek-V3, Gemini-2.0-Flash, GPT-4o-mini). The results show that reasoning models achieved a higher average RAGAS score (0.7772) than non-reasoning models (0.7289), representing a 6.63% improvement, with the largest gain observed in factual correctness (+15.95%). Additional multilingual benchmarking confirmed that reasoning models maintain more stable performance across languages. Gemini-2.5-Flash achieved the highest composite score (0.8207) while maintaining favorable cost efficiency. These findings indicate that reasoning-enabled models significantly improve factual reliability in domain-specific RAG systems, although overall system performance remains strongly dependent on retrieval quality.
Co-Authors Arista Pratama Aurelia Salsabiila Putri Bondan Setya Adi N Devina Nur Rahmadani S.P Mahadevi Katarina Sabila Melinda Citrasena Cahyaningrum Muhammad Surya Adhi Setiawan Seftin Fitri Ana Wati