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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Informanika Jurnal Informatika Teknologi dan Sains (Jinteks) Journal Of Information System And Artificial Intelligence Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Pengabdian Masyarakat Nian Tana Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Evi Yulianingsih
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Journal Of Information System And Artificial Intelligence

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Web-Based Information System for Laundry Services: An Extreme Programming Approach to Digital Transformation Gustriawan Candra, Mgs; Maria Ulfa; Evi Yulianingsih
Journal Of Information System And Artificial Intelligence Vol. 7 No. 2 (2026): Vol.7 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.286

Abstract

The rapid growth of digital technologies has accelerated the transformation of small and medium-sized enterprises (SMEs), including service-based industries such as laundry businesses. However, many of these businesses still rely on manual processes, which often result in inefficiencies and limited customer engagement. This study aims to develop a web-based information system for laundry services using the Extreme Programming (XP) methodology to support digital transformation. The development process consisted of four stages: planning, design, coding, and testing, carried out iteratively with continuous stakeholder involvement. Key features implemented include customer registration, order management, real-time order tracking, invoice generation, and administrative reporting. Functional testing confirmed that all core features performed as expected. Usability evaluation using the System Usability Scale (SUS) produced an average score of 82.3, indicating Excellent usability. Customers appreciated the mobile-first design and order tracking, employees highlighted the efficiency of order input, and administrators valued reporting functions. The findings demonstrate that XP enables rapid development, enhances system quality, and aligns software outputs with user needs. This study contributes to the literature by showing how agile methods can accelerate digital transformation in SMEs, while also offering practical implications for improving operational efficiency and customer satisfaction in the laundry service sector
Design and Implementation of a Digital Police Assistance Application for Enhancing Public Services Rio, Rio Martin; Nia Oktaviani; Evi Yulianingsih
Journal Of Information System And Artificial Intelligence Vol. 7 No. 2 (2026): Vol.7 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.288

Abstract

Public service delivery in law enforcement is often hindered by limited accessibility, manual procedures, and lack of transparency in complaint handling. This study proposes the Digital Police Assistance Application, a mobile platform designed to integrate incident reporting, real-time tracking, information dissemination, and an administrative dashboard for police officers. The system was developed using the Waterfall model with Flutter for cross-platform mobile development, Node.js with Express for backend services, and MySQL for data storage. Functional validation through Black Box testing confirmed that all modules operated as intended. Usability evaluation involving 30 participants (15 citizens and 15 police officers) employed the System Usability Scale (SUS). The application achieved an average SUS score of 82.5, categorized as “Excellent,” with citizens scoring slightly higher (84.2) than police officers (80.7). Citizens appreciated the simplicity and transparency of complaint tracking, while police officers highlighted dashboard efficiency and suggested integration with internal databases. These results demonstrate that the application is both functional and user-friendly, with strong potential to enhance transparency, efficiency, and trust in police services. Future work will address system interoperability, security improvements, and pilot testing across multiple jurisdictions
Co-Authors Adelya Agustina Dinny Komalasari Fatmasari Fatmasari Fatoni Febriyanti Panjaitan Gustriawan Candra, Mgs Iin Seprina Indri Agustari Linda Atika Maria Ulfa Merzi Tamara Oktaviani Muhammad Ariandi Muhammad Nasir Mutia Mawardah Mutiara Yudita Nia Oktaviani Putri, Kiyu Rio, Rio Martin Silfani Oktaviani Suryono, Mazida Khaeriyya Susan Dian Purnamasari Wydyanto