Janatu, Asfi
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ANALISIS DESAIN UI/UX WEBSITE SAMSAT KALIMANTAN TIMUR DENGAN METODE DESIGN THINKING Janatu, Asfi; Nandyu, Warhana; Servanda, Yustian; Sudinugraha, Tri
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 1 (2026): Januari 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i1.36

Abstract

The East Kalimantan SAMSAT (Sistem Administrasi Manunggal Satu Atap) website serves as a crucial digital public service for motor vehicle tax payments and related services. However, suboptimal user experience (UX) and user interface (UI) often hinder accessibility and public satisfaction. This study primarily aims to analyze and identify UI/UX design constraints on the East Kalimantan SAMSAT platform, and to provide recommendations for improvements based on user perspectives. The applied method is Design Thinking, which includes five stages: Empathize, Define, Ideate, Prototype, and Test. The initial stage focused on data collection through observation, in-depth user interviews, and heuristic evaluation to uncover user needs and pain points. The analysis findings revealed issues such as complex navigation, inconsistencies in visual design, and lack of explicit information, all of which significantly increased user cognitive load. Based on these results, the study proposes specific design recommendations in the form of wireframe and mockup improvements. These recommendations focus on simplifying the user flow, increasing the consistency of UI elements, and developing a more intuitive search feature. This design proposal is expected to boost the effectiveness, efficiency, and user satisfaction of online SAMSAT services. These design recommendations were then validated during the testing phase through usability testing. Test results showed significant improvements in key metrics: the average task success rate increased to 90% and the task completion time decreased by 40%. These findings demonstrate that the systematic application of human-centered design is effective in bridging the gap between user needs and the quality of digital public services at the East Kalimantan SAMSAT.
PERBANDINGAN ALGORITMA AI UNTUK SISTEM PENDUKUNG KEPUTUSAN PENJADWALAN BONGAKR MUAT BARANG DI PELABUHAN SEMAYANG BALIKPAPAN Janatu, Asfi; Karangan, Reygina; Servanda, Yustian; Sudinugraha, Tri
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5104

Abstract

Optimizing loading and unloading scheduling at Semayang Port, Balikpapan, is a complex challenge that requires an artificial intelligence approach. This study compares the effectiveness of the Genetic Algorithm (GA) and Neural Network (NN) as decision support systems in minimizing dwell time and improving operational efficiency. The research data covers the period 2020–2023, including ship arrival times, cargo types and volumes, equipment availability, and external factors such as weather and tides. GA is implemented using a chromosomal representation based on ship priority and fitness functions to optimize dwell time and dock utilization. NN employs a Long Short-Term Memory (LSTM) architecture to process port time-series data. The evaluation of three scenarios—peak, normal, and low seasons—shows that GA reduces dwell time by 22.3% compared to conventional methods, while NN predicts potential delays with an accuracy of 87.2%. GA performs best in static scheduling, while NN is effective in handling dynamic uncertainties. The hybrid GA-NN solution provides a balance between performance and complexity, with the potential to reduce operational costs by up to IDR 1.2 billion per year. This study presents a framework for the comparative evaluation of AI algorithms in port logistics and offers practical recommendations for optimizing operations at Semayang Port.