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All Journal Teika SENTIA 2017 Multitek Indonesia : Jurnal Ilmiah Adimas : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Ilmu dan Aplikasi Kohesi: Jurnal Sains dan Teknologi Jurnal Informatika Polinema (JIP) Pengabdian Pendidikan Indonesia (PPI) Science Information System and Technology International Journal of English Language and Pedagogy Jurnal Pengabdian Kepada Masyarakat Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Anugrah Nur Rahmanto
Politeknik Negeri Malang
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Evaluasi Usabilitas Aplikasi DLU Ferry Pasca-Optimalisasi Menggunakan System Usability Scale (SUS) dan A/B Testing: Studi Kasus dengan Pendekatan Design Thinking Fablo Aimar; Anugrah Nur Rahmanto; Usman Nurhasan
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/09mavq33

Abstract

The DLU Ferry application has not fully met user expectations in terms of ease of understanding information on schedules, fares, and supporting features, and often experiences data synchronization issues that can undermine user confidence. This study aims to optimize the user interface of the DLU Ferry application to meet user needs for clear, accessible, and real-time information. The Design Thinking approach (Empathize, Define, Ideate, Prototyping, Testing) was chosen because it prioritizes user-centricity, facilitates a deep understanding of user needs and challenges, and enables the creation of sustainable and iterative solutions. Quantitative testing was conducted using the System Usability Scale (SUS) and A/B Testing. The final iteration of the SUS testing yielded an average score of 86, indicating the “Excellent” or “Best Imaginable” category in terms of usability, proving the success of the optimization efforts. However, there are areas for continuous improvement based on respondent feedback, including enhancing application performance and stability, refining the user interface, adding features, improving information quality and accessibility, and strengthening customer service and integration.
Pelatihan Penggunaan AI untuk Peningkatan Kinerja Perangkat Kelurahan Tasikmadu, Kota Malang Satrio Binusa Suryadi; Muhammad Unggul Pamenang; Galih Putra Riatma; Usman Nurhasan; Anugrah Nur Rahmanto; Moch. Zawaruddin Abdullah
Pengabdian Pendidikan Indonesia Vol. 2 No. 02 (2024): Artikel Periode Agustus 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ppi.v2i02.4802

Abstract

Kegiatan pengabdian masyarakat ini mencakup pelatihan dan praktek langsung tentang pemanfaatan kecerdasan buatan (Artificial Intelligence) untuk staf di Kelurahan Tasikmadu, Kota Malang. Pelatihan ini merupakan lanjutan dari kegiatan pengabdian masyarakat di tahun sebelumnya tentang peningkatan informasi layanan pada masyarakat melalui media Canva. Pelatihan dan praktek langsung ini bertujuan untuk meningkatkan performa staf Kelurahan Tasikmadu kota Malang dalam memberikan pelayanan pada masyarakat. Artificial Intelligence (AI) memiliki beberapa kelebihan, salah satunya efisiensi pekerjaan yang dilakukan semisal menyusun draft proposal, mengedit dan merubah foto menjadi video, atau membuat video singkat yang atraktif untuk sarana sosialisasi kegiatan dan acara di lingkungan kelurahan Tasikmadu. Pelatihan dilaksanakan selama 2 minggu, dengan agenda pembekalan materi di minggu pertama dan praktek menggunakan AI di minggu kedua. Kegiatan ini juga sejalan dengan misi peningkatan sumber daya manusia di lingkungan kelurahan Tasikmadu untuk mengintegrasikan teknologi yang mendukung dan memudahkan pekerjaan administrasi staf. Sehingga pelatihan pemanfaatan kecerdasan buatan (AI) ini bisa meningkatkan pengetahuan staf kelurahan Tasikmadu untuk meningkatkan performa kerja mereka.
Modular Integration of Raw NASA-TLX and VisAWI-S in UIX-Probe: An Analytics Dashboard for Supporting UX Evaluation Anugrah Nur Rahmanto; Retno Damayanti; Muhammad Abel Rif'at Nandito
West Science Information System and Technology Vol. 4 No. 02 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i02.3060

Abstract

Evaluation of User Interface (UI) and User Experience (UX) typically relies on several questionnaire instruments that are administered and scored separately, making score aggregation and cross-method triangulation labor-intensive. UIX-Probe is a web-based multi-method UI/UX assessment platform that already integrated the System Usability Scale (SUS), the Technology Acceptance Model (TAM), A/B testing and the Web Content Accessibility Guidelines (WCAG), but lacked instruments for two constructs central to user experience: subjective mental workload and perceived visual aesthetics. This paper reports the design, implementation and workflow of two new modules integrated into UIX-Probe Raw NASA-TLX and the Short Visual Aesthetics of Websites Inventory (VisAWI-S) with a focus on the analytics dashboard that turns raw responses into interpretable output for developers and interface designers. The dashboard provides a composite score with automatic classification, a per-dimension mean comparison, per-question response distributions, a per-respondent results table, respondent demographics, and automatically generated narrative descriptions, all exportable to Excel. The system was built using the Waterfall SDLC on a Laravel 10 + React.js (Inertia.js) architecture. Functionality was verified under real-world deployment: five independent developer teams created and distributed their own evaluation surveys on the platform, collecting 115 responses across five surveys. The four surveys using the new modules produced Raw NASA-TLX composite scores of 10.99–21.75/100 (all Moderate) and VisAWI-S composite scores of 4.23–5.81/7 (Positive to Very Positive). All three verification criteria were met: 5/5 teams configured a survey successfully, every survey obtained real respondents, and every dashboard rendered without error.
Co-Authors Ariadi Retno Tri Hayati Ririd Arie Rachmad Syulistyo Atiqah Nurul Asri Bagas Setya Dian Nugraha Deddy Kusbianto Purwoko Aji Devi Zettyara Dian Hanifudin Subhi Dyah Ayu Irawati Dyah Ayu Irawati Ekojono Ekojono Ekojono Ekojono Elsa Apreliani Sutrisno Endah Septa Sintiya Fablo Aimar Faiz Ushbah Mubarok Galih Putra Riatma Hari Kurnia Safitri Hendra Pradibta Ika Kusumaning Putri Ika Kusumaning Putri Irsyad Arif Mashudi Luqman Affandi Mardhiyah Millania Mardhiyah Millania Moch Zawaruddin Abdullah Muhammad Abel Rif'at Nandito Ni’ma Shoumi, Milyun Pamenang, Muhammad Unggul Rahmad, Cahya Retno Damayanti Retno Damayanti Soejoedono Risa Juliadilla Rudy Ariyanto Salsabila Firdausy Satrio Binusa Suryadi Satrio Binusa Suryadi Septian Enggar Sukmana Ulfa, Farida Usman Nurhasan