EVALUASI KEPUASAN PENGGUNA FITUR DETEKSI RISIKO PENYAKIT DI APLIKASI SATUSEHAT MELALUI PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) TAHUN 2025

SYUFIYANI, SYI'TA DWI (2025) EVALUASI KEPUASAN PENGGUNA FITUR DETEKSI RISIKO PENYAKIT DI APLIKASI SATUSEHAT MELALUI PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) TAHUN 2025. Diploma thesis, POLITEKNIK KESEHATAN TASIKMALAYA.

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Abstract

Latar Belakang: Penyakit Tidak Menular seperti kanker paru-paru dan gangguan kesehatan mental merupakan penyebab utama kematian. Di Indonesia, terdapat sekitar 38.783 kasus kanker paru-paru dan 9,8 juta penduduk mengalami gangguan kesehatan mental. Kondisi ini membutuhkan deteksi dini untuk penanganan yang lebih optimal. Pemerintah Indonesia merespons dengan mengembangkan aplikasi SATUSEHAT yang memiliki fitur deteksi risiko penyakit kesehatan mental dan kanker paru. Aplikasi ini bertujuan memudahkan masyarakat melakukan skrining mandiri dan mendorong pemeriksaan lanjutan jika ditemukan risiko. Penelitian ini bertujuan mengevaluasi kepuasan pengguna terhadap fitur tersebut dengan pendekatan Technology Acceptance Model (TAM). Metode Penelitian: Penelitian ini menggunakan metode penelitian kuantitatif dengan pendekatan Cross-Sectional. Populasi dalam penelitian ini berdasarkan jumlah unduhan aplikasi SATUSEHAT di Playstore yaitu sebanyak 50.000.000 unduhan. Untuk penentuan sampel berdasarkan metode Slovin sebanyak 100 responden dengan menggunakan teknik quota sampling. Hasil Penelitian: Variabel Perceived Ease of Use berpengaruh positif terhadap kepuasan pengguna (ρ = 0,619, p < 0,05); variabel Perceived Usefulness berpengaruh positif terhadap kepuasan pengguna (ρ = 0,626, p < 0,05); variabel Attitude Toward Using berpengaruh positif terhadap kepuasan pengguna (ρ = 0,713, p < 0,05); variabel Behavioral Intention to Use berpengaruh positif terhadap kepuasan pengguna (ρ = 0,628, p < 0,05); dan variabel Actual System Use berpengaruh positif terhadap kepuasan pengguna (ρ = 0,488, p < 0,05). Kesimpulan: Berdasarkan uji korelasi rank spearman dapat disimpulkan bahwa kelima variabel berpengaruh positif dan signifikan terhadap kepuasan pengguna fitur deteksi risiko penyakit di aplikasi SATUSEHAT. ABSTRACT Background: Non-communicable diseases, such as lung cancer and mental health disorders, are among the leading causes of death. In Indonesia, there are approximately 38,783 cases of lung cancer and 9.8 million people experiencing mental health issues. These conditions require early detection for more optimal management. In response, the Indonesian government developed the SATUSEHAT application, which includes a disease risk detection feature for mental health and lung cancer. This application is designed to help the public conduct self-screenings and encourage follow-up examinations when risks are identified. This study aims to evaluate user satisfaction with the feature using the Technology Acceptance Model (TAM) approach. Research Method: This study employed a quantitative research method with a cross-sectional approach. The population in this study was based on the number of downloads of the SATUSEHAT application on the Playstore, totaling 50,000,000 downloads. The sample was determined using the Slovin formula, resulting in 100 respondents, with quota sampling as the sampling technique. Results: The Perceived Ease of Use variable had a positive effect on user satisfaction (ρ = 0.619, p < 0.05); the Perceived Usefulness variable had a positive effect on user satisfaction (ρ = 0.626, p < 0.05); the Attitude Toward Using variable had a positive effect on user satisfaction (ρ = 0.713, p < 0.05); the Behavioral Intention to Use variable had a positive effect on user satisfaction (ρ = 0.628, p < 0.05); and the Actual System Use variable had a positive effect on user satisfaction (ρ = 0.488, p < 0.05). Conclusion: Based on the Spearman rank correlation test, it can be concluded that all five variables have a positive and significant influence on user satisfaction with the disease risk detection feature in the SATUSEHAT application.

Item Type:

Thesis (Diploma)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
UNSPECIFIED	MOHAMMAD, MAULA ISMAIL	UNSPECIFIED	Maula.ismail.m@gmail.com
UNSPECIFIED	KHASANAH, LINA	40090881001	linaelshirazy@gmail.com
UNSPECIFIED	KARMANTO, BAMBANG	40210463201	bambangkarmanto@gmail.com