Usability Analysis of Filtering in Disaster Monitoring Platform (INSAMO) to Support Disaster Information Accessibility

Whardhana, Anindya Khairunissa (2026) Usability Analysis of Filtering in Disaster Monitoring Platform (INSAMO) to Support Disaster Information Accessibility. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Indonesia experiences frequent natural disasters, making accessible disaster information essential for public preparedness and decision-making. However, disaster monitoring platforms such as INSAMO often present multiple disaster events simultaneously, which can cause information overload and make relevant information difficult to identify. This study investigates the effectiveness of a disaster-type filtering feature in improving the accessibility and usability of disaster information on the INSAMO platform. A Human-Centered Design (HCD) approach is employed to analyze user needs and develop an improved interface prototype. A usability testing approach was conducted involving 20 respondents aged 17–60 years. Respondents completed a series of task-based scenarios using both the existing INSAMO interface and an improved prototype incorporating disaster-type filtering. User performance was evaluated using Success Rate, Time-on-Task, and the System Usability Scale (SUS). The results identified information overload as the primary usability issue in the existing interface. Following the implementation of the disaster-type filtering feature, the average Success Rate increased from 67.5% to 90.0%, while the average Time-on-Task decreased from 433.0 seconds to 371.9 seconds. The average SUS score also improved substantially from 50.5 to 78.5, indicating a shift from poor to good usability. Qualitative findings further reinforced these results, with all respondents agreeing that filtering features help reduce information overload and improve information accessibility. Based on these findings, the prototype was further refined by implementing user and stakeholder recommendations, including location-based and province filtering, an emergency shelter feature, real-time disaster information, disaster severity information, disaster history, and sensor monitoring to better support disaster information accessibility. The final prototype was subsequently validated by respondents, achieving a mean SUS score of 90.0, corresponding to an A grade on the Sauro-Lewis Curved Grading Scale. This result demonstrates a high level of user acceptance and confirms that incorporating iterative user feedback significantly enhanced the usability and overall user experience of the INSAMO platform. The study concludes that combining disaster-type filtering with iterative user-centered design improvements is an effective approach for reducing information overload, increasing user acceptance, and significantly improving the usability of map-based disaster information systems.
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Indonesia merupakan salah satu negara yang sering mengalami bencana alam, sehingga akses terhadap informasi kebencanaan yang mudah dipahami sangat penting untuk mendukung kesiapsiagaan masyarakat dan pengambilan keputusan. Namun, platform pemantauan bencana seperti INSAMO sering menampilkan berbagai jenis bencana secara bersamaan, sehingga menyebabkan information overload dan menyulitkan pengguna dalam menemukan informasi yang relevan. Penelitian ini bertujuan untuk menganalisis efektivitas fitur disaster-type filtering dalam meningkatkan aksesibilitas dan usability informasi kebencanaan pada platform INSAMO. Pendekatan Human-Centered Design (HCD) digunakan untuk menganalisis kebutuhan pengguna dan mengembangkan prototipe antarmuka yang lebih baik. Pengujian usability dilakukan terhadap 20 responden berusia 17–60 tahun menggunakan metrik Success Rate, Time-on-Task, dan System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa implementasi fitur disaster-type filtering meningkatkan Success Rate dari 67,5% menjadi 90,0%, menurunkan Time-on-Task dari 433,0 detik menjadi 371,9 detik, serta meningkatkan nilai rata-rata SUS dari 50,5 menjadi 77,5. Seluruh responden juga menyatakan bahwa fitur filtering membantu mengurangi information overload dan meningkatkan aksesibilitas informasi. Berdasarkan hasil tersebut, prototipe kemudian disempurnakan melalui implementasi rekomendasi pengguna dan pemangku kepentingan, seperti penyaringan berdasarkan lokasi dan provinsi, fitur shelter darurat, informasi bencana secara real-time, tingkat keparahan bencana, riwayat bencana, dan pemantauan sensor. Prototipe akhir memperoleh nilai rata-rata SUS sebesar 90,0 (Grade A berdasarkan Sauro-Lewis Curved Grading Scale), yang menunjukkan tingkat penerimaan pengguna yang sangat tinggi. Penelitian ini menyimpulkan bahwa penerapan disaster-type filtering yang dipadukan dengan pengembangan berbasis Human-Centered Design secara iteratif efektif dalam mengurangi information overload, meningkatkan penerimaan pengguna, dan meningkatkan usabilitas sistem informasi kebencanaan berbasis peta.

Item Type: Thesis (Other)
Uncontrolled Keywords: Disaster Monitoring System, Usability Evaluation, User Interface Design, Information Filtering, System Usability Scale. Sistem Pemantauan Bencana, Evaluasi Kegunaan, Desain Antarmuka Pengguna, Penyaringan Informasi, System Usability Scale.
Subjects: Q Science > QA Mathematics > QA76.9.U83 Graphical user interfaces. User interfaces (Computer systems)--Design.
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Chemical Engineering > 24201-(S1) Undergraduate Thesis
Depositing User: Anindya Khairunissa Whardhana
Date Deposited: 31 Jul 2026 01:53
Last Modified: 31 Jul 2026 01:53
URI: http://repository.its.ac.id/id/eprint/139854

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