Pengembangan Aplikasi Healthcare Intelligent System untuk Pasien dan Caregiver Alzheimer: Perancangan Aplikasi Frontend

Falih, Laode Shaldan (2025) Pengembangan Aplikasi Healthcare Intelligent System untuk Pasien dan Caregiver Alzheimer: Perancangan Aplikasi Frontend. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penyakit Alzheimer merupakan salah satu bentuk demensia yang mengakibatkan penurunan fungsi kognitif dan memori secara progresif. Di Indonesia, tantangan penanganan Alzheimer menjadi kompleks akibat rendahnya kesadaran masyarakat, di mana 86,3% populasi tidak familier dengan istilah demensia atau Alzheimer , yang berujung pada keterlambatan diagnosis dan stigma sosial. Kondisi ini tidak hanya berdampak pada pasien tetapi juga memberikan beban berat bagi caregiver. Dengan tantangan tersebut, diperlukan adanya skrining dini menggunakan instrumen seperti Mini Mental State Examination (MMSE), Geriatric Depression Scale (GDS), dan Skrining Lansia Sederhana (SKILAS). Perkembangan teknologi bergerak memungkinkan proses skrining dan manajemen kesehatan dapat diakses secara mandiri untuk mendukung pasien dan caregiver. Tugas akhir ini bertujuan untuk mengembangkan sebuah aplikasi Healthcare Intelligent System yang dapat mendukung pasien dan caregiver Alzheimer di Indonesia melalui fitur skrining, edukasi, dan manajemen perawatan harian. Metode yang digunakan dalam pengerjaan tugas akhir ini meliputi studi literatur, penggalian dan analisis kebutuhan, dokumentasi spesifikasi fungsional, pengembangan desain antarmuka, pengembangan aplikasi frontend dengan Flutter dan integrasi backend menggunakan Firebase, serta internal testing dan evaluasi melalui pilot study & usability testing. Seluruh tahapan metodologi ini dirancang untuk mencakup proses pengembangan secara menyeluruh, mulai dari identifikasi kebutuhan hingga validasi aplikasi oleh pengguna. Luaran dari tugas akhir ini adalah aplikasi mobile bernama MedikA yang memiliki fitur-fitur untuk mendukung deteksi dan pencegahan dini Alzheimer. Fitur tersebut antara lain digitalisasi tes skrining seperti MMSE, GDS, dan SKILAS, permainan otak sederhana, pengingat jadwal kegiatan, informasi kesehatan, klasifikasi citra MRI otak, dan dasbor kesehatan umum. Aplikasi telah diuji secara internal dan diujikan langsung kepada pengguna. Hasil evaluasi menggunakan kuesioner yang mengadaptasi Technology Acceptance Model (TAM) menunjukkan bahwa aplikasi dapat diterima dengan baik oleh pengguna, yang dinilai dari 4 aspek: kegunaan, kemudahan penggunaan, sikap, dan niat untuk menggunakan. Hal ini dibuktikan dari nilai rata-rata yang diperoleh, antara lain Perceived Usefulness sebesar 3,92, Perceived Ease of Use sebesar 4,12, Attitude Toward Using sebesar 3,96, dan Behavioral Intention sebesar 3,98 dalam skala 1-5.
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Alzheimer's disease is a form of dementia that results in a progressive decline in cognitive function and memory. In Indonesia, the challenge of managing Alzheimer's is complex due to low public awareness, with 86.3% of the population being unfamiliar with the terms dementia or Alzheimer, leading to delayed diagnosis and social stigma. This condition not only impacts patients but also places a heavy burden on caregivers. Given these challenges, early screening is necessary using instruments such as the Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), and Simple Elderly Screening (SKILAS). The development of mobile technology enables the screening and health management process to be accessed independently to support patients and caregivers. This final project aims to develop a Healthcare Intelligent System application that can support Alzheimer's patients and caregivers in Indonesia through screening, education, and daily care management features. The method used in this final project includes a literature study, requirements gathering and analysis, functional specification documentation, user interface design, frontend application development with Flutter and backend integration using Firebase, as well as internal testing and evaluation through a pilot study & usability testing. All of these methodological stages are designed to cover the entire development process, from identifying user needs to application validation by users. The output of this final project is a mobile application named MedikA, which has features to support the early detection and prevention of Alzheimer's. These features include the digitalization of screening tests such as MMSE, GDS, and SKILAS, simple brain games, activity schedule reminders, health information, brain MRI image classification, and a general health dashboard. The application was tested internally and directly with users. Evaluation results using a questionnaire adapted from the Technology Acceptance Model (TAM) show that the application was well-received by users, assessed on 4 aspects: usefulness, ease of use, attitude, and intention to use. This is evidenced by the average scores obtained, including a Perceived Usefulness of 3.92, a Perceived Ease of Use of 4.12, an Attitude Toward Using of 3.96, and a Behavioral Intention of 3.98, on a 1-5 scale.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Alzheimer, Healthcare Intelligent System, Flutter, caregiver, Agile, Black Box, Testing, Alzheimer, Healthcare Intelligent System, Flutter, caregiver, Agile, Black Box, Testing
Subjects:	Q Science > QA Mathematics > QA76.758 Software engineering
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Laode Shaldan Falih
Date Deposited:	25 Jul 2025 06:29
Last Modified:	25 Jul 2025 06:29
URI:	http://repository.its.ac.id/id/eprint/121475

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