SI2112474874

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IMPLEMENTASI METODE AGILE DEVELOPMENT PADA

PENGEMBANGAN SAFE ENTRY STATION (SES-UR)


SKRIPSI



Disusun Oleh :

NIM : 2112474874

NAMA : SABDA MAULANA


FAKULTAS SAINS DAN TEKNOLOGI

PROGRAM STUDI SISTEM INFORMASI

KONSENTRASI BUSINESS INTELLIGENCE

UNIVERSITAS RAHARJA

TANGERANG

2022/2023



ABSTRAK

Berdasarkan Undang-Undang Republik Indonesia No. 36 Tahun 2009, tentang kesehatan. Sesuai dengan yang tertera dalam pasal 1 poin 10 “Teknologi kesehatan adalah segala bentuk alat dan/atau metode yang ditujukan untuk membantu menegakkan diagnosa, pencegahan, dan penanganan permasalahan kesehatan manusia.” dan juga pada Peraturan Menteri Kesehatan Nomor 71 tahun 2019 tentang “Penyelenggaraan Sistem Kesehatan Berbasis Elektronik”, yang mengatur tentang penyelenggaraan sistem kesehatan berbasis elektronik dan rekam medis elektronik. Selain itu, pemerintah Indonesia juga sedang mempersiapkan Rancangan undang-undang tentang digital kesehatan di Indonesia diharapkan dapat memperkuat penggunaan teknologi informasi dalam layanan kesehatan. Berdasarkan 2 landasan tersebut Perlu adanya pengaturan yang jelas dan implementasi yang tepat terkait dengan penggunaan teknologi kesehatan dan rekam medis elektronik di Indonesia. Hal ini juga membutuhkan kerjasama yang erat antara pemerintah, lembaga kesehatan, dan industri teknologi untuk menciptakan sistem kesehatan yang efektif dan efisien. Selain itu, implementasi teknologi kesehatan juga harus mempertimbangkan faktor privasi dan keamanan data pasien untuk mencegah potensi penyalahgunaan atau pelanggaran privasi. Penelitian ini juga semakin diperkuat dengan adanya Rencana Penelitian yang bersinergi dengan Grand Design RIRR 2021-2025 yang didalamnya terdapat Fishbone Raharja sebagai langkah mengejawantahkan RIRN 2017-2045. Fokus riset terpilih berada dalam sektor medical kesehatan untuk meningkatkan kualitas layanan kesehatan berbasis artificial intelligence. Penelitian ini bertujuan untuk menampilkan data SES-UR (Safe Entry Station) menjadi online yang sebelumnya masih tersimpan secara lokal. Dalam sistem SES-UR data yang dianalisis berupa suhu tubuh, pernapasan, detak jantung, serta tingkat kelelahan. Teknologi baru ini mendukung program kemendikbudristek Hibah Penelitian Terapan (PT).

Kata Kunci : Artificial Intelligence; Teknologi Kesehatan, Pengambilan Keputusan, Deep Learning

ABSTRACT

Based on the Republic of Indonesia Law No. 36 of 2009 on health, as stated in Article 1, point 10, "Health technology refers to all forms of tools and methods intended to assist in diagnosing, preventing, and treating human health problems." Additionally, the Minister of Health Regulation No. 71 of 2019 on "Electronic-Based Health System Implementation" regulates implementing electronic-based health systems and electronic medical records. Furthermore, the Indonesian government is preparing a draft law on digital health in Indonesia, aiming to strengthen the use of information technology in healthcare services. Based on these two foundations, there is a need for clear regulations and proper implementation regarding the use of health technology and electronic medical records in Indonesia. This also requires close cooperation between the government, healthcare institutions, and the technology industry to create an effective and efficient healthcare system. Moreover, implementing health technology should also consider patient data privacy and security factors to prevent potential misuse or privacy breaches. The Research Plan further strengthens this research in synergy with the Grand Design RIRR 2021-2025, which includes Fishbone Raharja as a step toward realizing RIRN 2017-2045. The selected study focuses on the medical health sector to improve the quality of AI-based healthcare services. This research aims to make the data from the Safe Entry Station (SES-UR) available online, which was previously stored locally. In the SES-UR system, the analyzed data includes body temperature, respiration, heart rate, and fatigue level. This new technology supports the Ministry of Education, Culture, Research, and Technology's Applied Research Grant Program (PT).

Keywords: Artificial Intelligence; Health Technology, Decision Making, Deep Learning

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