Diabetes melitus merupakan penyakit metabolik dimana penderita diabetes tidak bisa memproduksi insulin dalam jumlah cukup atau tubuh tidak mampu menggunakan insulin secara efektif sehingga terjadi kelebihan gula di dalam darah. Kondisi ini baru dirasakan setelah terjadi komplikasi lanjut pada organ tubuh. Pada penderita diabetes melitus, dapat terjadi komplikasi pada tingkat sel dan anatomik. Komplikasi kronik yang disebabkan oleh diabetes melitus dapat terjadi pada pembuluh darah besar (makrovaskuler) dan pembuluh darah kecil (mikrovaskuler). Komplikasi makrovaskuler yang umum terjadi adalah pembekuan darah pada otak, penyakit jantung koroner, dan stroke. Sedangkan komplikasi mikrovaskuler yang umum terjadi adalah hiperglikemia dan retinopati (kebutaan) [1]. Retinopati diabetik merupakan kerusakan retina yang diakibatkan oleh komplikasi dari diabetes melitus [2]. Menurut data dari WHO pada tahun 2015, Indonesia menempati posisi ke tujuh di dunia untuk prevalensi penderita diabetes tertinggi di dunia dengan estimasi penderita diabetes sebesar 10 juta orang dari jumlah penderita diabetes di dunia sebesar 415 juta jiwa. Berdasarkan penelitian yang dilakukan oleh INFORMASI ARTIKEL
In today's technological era, most human activities are closely related to digitalization. This causes data growth to increase dramatically. The potential for data dissemination is also very wide open, so that as the owner of personal data and active technology users, many people are worried that their data is not used properly by the parties concerned about the benefits, fairness, approval and confidentiality. Therefore a number of written rules were made such as Article 32 of the ITE Law relating to data use interference as a basis for rules. The importance of having an understanding and knowledge related to ethical basis and data processing methods is also necessary as a technical guide to direct all data processing activities. However, there are still many parties who ignore the rule. It is not true that the process of retrieving and processing data also makes the final result not in accordance with the original goal. In this paper we will explain some examples of technical data collection and processing methods. A description of ethical theory will also be given. Then the challenges and principles in data collection and processing will be written. The hope of this paper can make the data users involved can use the data as they should according to applicable ethics, methods and laws.Keywords: Data, Data Collection, Data Processing, Ethics, Data Ethics
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