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Diabetes mellitus is a chronic disease due to impaired blood glucose levels. Type 2 diabetes mellitus dominantly causes most death s in the world. The number of patients with t ype 2 diabetes mellitus (DM) was ranked the second highest at the Surabaya Haji General Hospital . Purpose: This study describe d characteristics of patients with type 2 DM at the Surabaya Haji General Hospital . Methods: This study was descriptive and used a cross-sectional research design . Th is study’s population were patients with type 2 DM who visit ed Diabetes Unit at Surabaya Haji General Hospital . This study was conducted in the Dia betes Unit at the Surabaya Haji General Hospital by involving 114 respondents as the samples. These respondents were interviewed using questionnaires from 11 March to 11 April 2019. The study’s variables were patients’ characteristics including age, gender, family history, and disease duration . Data were analyzed using a univariate analysis with a frequency table. Results: A lmost all of patients with type 2 DM at Surabaya Haji General Hospital were aged ≥40 years (94 . 7%) and female (71 . 9%). The majority of patients had a family medical history of type 2 diabetes mellitus disease (60 . 5%) and long disease duration of >5 years (5 . ,4%). Conclusion: Almost patients with type 2 DM in Surabaya Haji General Hospital were elderly who had a family medical history of diabetes mellitus and had suffered from type 2 diabetes mellitus for >5 years. Keywords: diabetes mellitus, characteristics, hospital, descriptions.

Additive manufacturing, known as 3D printing (3DP) is currently growing rapidly in many countries. The applications of 3DP may vary in each country, depending on the country’s 3DP development and local needs. This study aims to find out the adoption of 3DP in Indonesia and the prediction of its application in the future. Data were collected either by interviews or questionnaires. Data retrieval was done 3 times. First, data were collected from society with 109 respondents. The second data comes from 3DP user with 40 respondents, and the third data comes from the expert with 15 respondents. This study used a pairwise comparison method to predict the application of 3DP in the future. The results of this study indicate that 67% of respondents in society have known about 3DP. The number of 3DP users was increasing every year, a considerable increase in the last 3 years. From the pairwise comparison results, it was found that in the health sector, the highest prediction is in the fabrication of medical equipment. In the industrial sector, the highest prediction is fabrication for electronic and robotic. Then in the sociocultural sector, the highest prediction is education.