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PERANCANGAN APLIKASI JASA RIAS WAJAH BERBASIS DESIGN THINKING UNTUK PENGALAMAN PENGGUNA Rizvina Hadi Imani; Abdul Rezha Efrat Najaf; Prasasti Karunia Farista Ananto
Seminar Nasional Ilmu Terapan Vol 9 No 1 (2025): Vol 9 No 1 (2025): Seminar Nasional Ilmu Terapan (SNITER) 2025
Publisher : Universitas Widya Kartika Surabaya

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

Abstract

Penelitian ini bertujuan untuk merancang aplikasi jasa rias wajah yang mempermudah pelanggan dalam mencari, memesan, dan melakukan transaksi layanan secara efisien. Latar belakang penelitian didasarkan pada permasalahan yang sering dialami pelanggan, yaitu keterbatasan informasi harga, jadwal, dan portofolio pemilik jasa rias yang tidak transparan, serta proseskomunikasi yang lambat. Metode yang digunakan adalah Design Thinking dengan lima tahapan: Empathize, Define, Ideate, Prototype, dan Test. Melalui pendekatan ini, peneliti berfokus pada pemahaman kebutuhan pengguna untuk menghasilkan desain antarmuka (UI) dan pengalaman pengguna (UX) yang intuitif, menarik, dan sesuai dengan ekspektasi pelanggan. Prosesperancangan dilakukan menggunakan aplikasi Figma untuk menghasilkan wireframe dan prototype beresolusi tinggi, kemudian diuji menggunakan metode System Usability Scale (SUS) terhadap lima responden. Hasil pengujian menunjukkan nilai rata-rata SUS sebesar 73, yang termasuk kategori “Good”, menandakan bahwa desain aplikasi mudah digunakan danmemberikan pengalaman pengguna yang memuaskan. Dengan demikian, rancangan aplikasi ini berpotensi menjadi solusi efektif dalam meningkatkan efisiensi dan transparansi layanan jasa rias di era digital.
UI/UX Development of a Boarding House Reservation Application: A Design Thinking Approach in Surabaya Azizatul Fara Dibah; Abdul Rezha Efrat Najaf; Prasasti Karunia Farista Ananto
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3320

Abstract

Fragmented, inconsistent, and frequently outdated information about boarding-house availability, facilities, and pricing remains a persistent usability problem in existing digital platforms. Current UI/UX and reservation-system research has not sufficiently addressed these issues within the specific context of urban rental ecosystems, creating gap in designing solutions that respond to the needs of both tenants and property owners. This study addresses that gap by developing and evaluating a user-centered interface for a boarding-house reservation application using the five-stage Design Thinking framework: empathize, define, ideate, prototype, and test. Insights were gathered from 30 participants representing owners, tenants, and administrators in Surabaya, forming the basis for personas, information architecture, user flows, and low- to high-fidelity prototypes designed in Figma. Usability and interface quality were examined through task-based testing, the System Usability Scale (SUS), and Nielsen’s heuristic evaluation to integrate both user perception and normative usability standards. Initial testing produced SUS scores of 74.5 (owners), 76.5 (tenants), and 66 (administrators), indicating acceptable but improvable usability and several interface issues. Iterative refinement led to marked enhancements, with second-round SUS scores of 90, 87, and 89, accompanied by high learnability (96–97%), strong memorability (95–96%), and low error rates (0.0306–0.0800). A minor efficiency decrease was attributed to unstable network conditions rather than design flaws. Overall, the findings demonstrate that structured, iterative UI/UX development supported by heuristic auditing effectively resolves core information and interaction challenges in boarding-house reservation systems. The final prototype demonstrates high usability and provides a replicable design rationale for future implementation and scaling.
Performance Analysis of Reasoning Models in RAG-Based Question Answering System for University Admission Services Setiawan, Muhammad Surya Adhi; Pratama, Arista; Ananto, Prasasti Karunia Farista
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.
Integrasi Strategis untuk Keunggulan Akademik: Memanfaatkan COBIT dan PMBOK dalam Praktik Audit dan Manajemen Proyek Moch Yasin; Prasasti Karunia Farista Ananto; Bramasta Kurnia Aji; Ilham; Mohammad Khusnu Milad; Suryani DA
Jurnal Penelitian Pendidikan IPA Vol 10 No 4 (2024): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i4.6887

Abstract

This research aims to explore the strategic integration of the COBIT (Control Objectives for Information and Associated Technologies) and PMBOK (Project Management Body of Knowledge) frameworks in optimizing audit and project management practices in the academic world. This research draws on practice-based case studies as well as existing literature to highlight the benefits and strategies for implementing the strategic integration of COBIT and PMBOK in the academic world. Aligning governance with project management principles, an institution such as higher education can enhance their efforts to achieve academic excellence. COBIT and PMBOK integration strengthens audit practices by ensuring regulatory compliance, practical risk assessment, and robust controls. It also promotes a structured approach to project management, improved planning, resource allocation, risk mitigation, and communication. Collaboration between the audit and project management teams is facilitated through this integration, enabling effective communication, coordination and knowledge sharing. Colleges can then position themselves strategically to achieve academic excellence, aligning their operations with strategic goals and driving efficiency, transparency and accountability. Based on this discussion, it can be concluded that integrating the COBIT and PMBOK frameworks can advance the efforts of an institution, namely higher education, to achieve academic excellence and strengthen leadership in the field of education.
Optimizing Big Data Driven Strategic Management to Enhance the Quality of Adaptive Contemporary Islamic Education Prasasti Karunia Farista Ananto; Cecep Hilman; Eka Muzalfitri Ridwan; Nor Anisa
Khazanah: Journal of Islamic Education and Science Vol. 2 No. 1 (2026): Khazanah: Journal of Islamic Education and Science
Publisher : Institut Bahri Asyiq Galis Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61815/khazanah.v2i1.888

Abstract

Digital transformation in education has driven the utilization of large-scale data as a basis for strategic decision-making. However, Islamic education has continued to face limitations in integrating data-based approaches into its management systems, resulting in limited adaptability to change. This study aimed to analyze the optimization of big data -based strategic management in improving the quality of adaptive contemporary Islamic education. The study employed a descriptive qualitative approach with a meta-analysis method of scientific literature published between 2018 and 2025 from reputable digital databases. Data were collected through digital documentation using Boolean keyword techniques and were selected through a systematic protocol. Data analysis was conducted using content and thematic analysis to identify patterns, concepts, and relationships among variables. The findings indicated that the utilization of big data significantly enhanced the effectiveness of strategic management through the strengthening of data-driven planning, implementation, and evaluation. In addition, such integration improved the quality of Islamic education in terms of curriculum, governance, and institutional adaptability. This study contributed to the development of an integrative model of data-based Islamic education management relevant to the demands of the digital era.
Mapping SPBE Challenges in Indonesia: Systematic Review by Architecture Domain Virdha Rahma Aulia; Iqbal Ramadhani Mukhlis; Rafika Rahmawati; Tri Luhur Indayanti Sugata; Prasasti Karunia Farista Ananto; Tri Puspa Rinjeni; Nambi Sembilu
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.368

Abstract

Growing disparities in digital governance readiness across Indonesia highlight the urgency of strengthening the nation's Electronic-Based Government System (SPBE). This study conducts a systematic literature review of 34 recent studies to identify key factors that influence SPBE implementation across six architecture domains: Business (Organizational) Architecture, Data Architecture, Application Architecture, Infrastructure Architecture, Security Architecture, and Service Architecture. Drawing on the PRISMA methodology, the review uncovers recurring obstacles such as governance misalignment, fragmented system development, infrastructure limitations, inadequate data management, weak cybersecurity, and inconsistent service delivery. While these challenges inform the analysis, the proposed conceptual framework reframes each domain as a positive construct—suggesting that stronger performance in these areas contributes to greater SPBE implementation success. This framework provides policymakers with a structured lens to guide targeted digital transformation efforts. The study emphasizes the importance of policy coherence, inter-agency collaboration, human resource capacity, and integrated digital ecosystems, and invites future empirical research to validate and refine the framework through quantitative testing and in-depth case studies, particularly focusing on governance and people-centered factors.
Analysing User Reviews with ETL using Pentaho Data Integration Tri Luhur Indayanti Sugata; Rafika Rahmawati; Tri Puspa Rinjeni; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Iqbal Ramadhani Mukhlis
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.403

Abstract

User reviews are a crucial element in guiding the continuous improvement of mobile applications for developers. This research aims to utilize Extract, Transform, Load (ETL) techniques using Pentaho Data Integration to analyze user reviews of government mobile applications which is ‘Sentuh Tanahku’, focusing on improving service quality through actionable data insights. The ETL process involves collecting and cleaning data from the Google Play Store to derive valuable insights that inform recommendations for app improvement. After data extraction, text preprocessing steps, such as cleansing, case folding, and keyword filtering, were applied to prepare the data for analysis. By categorizing user reviews into key aspects such as user interface, performance, bug fixes, security, compatibility and feature development this research enables the identification of most frequently discussed and complained about by users. The output of this research includes a structured dataset in Excel format. By demonstrating the effectiveness of ETL and text analysis in transforming unstructured user reviews into strategic insights, this research contributes to utilizing Pentaho Data Integration as an alternative and effective tool for processing and analyzing user reviews.