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All Journal Jurnal Ilmu Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal
Pramananditya, Benedicto Reinaldy
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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PERANCANGAN APLIKASI SISTEM PAKAR PENYAKIT DIABETES MELLITUS MENGGUNAKAN ALGORITMA RANDOM FOREST Pramananditya, Benedicto Reinaldy
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Diabetes Mellitus is a disease that infects many people both domestically and abroad. Based on data from the International Diabetes Federation (IDF), in 2021 Indonesia will be ranked number 5 in the number of people suffering from Diabetes Mellitus, namely 19.47 people. Diabetes Mellitus is a disorder of insulin function in the body which usually has general symptoms, namely an increase in blood sugar in humans. In general, Diabetes Mellitus is categorized into two types, namely Diabetes Mellitus type 1 and Diabetes Mellitus type 2. However, many people, especially in Indonesia, have a low level of awareness and awareness of this disease. This is caused by a lack of knowledge about this disease and its risks as well as limited time or costs in consulting a doctor. Therefore, it is necessary to implement artificial intelligence which is applied to the expert system application for Diabetes Mellitus. The design of this expert system application is intended to obtain results in the form of diagnosis, prediction and consultation. This research applies the Random Forest algorithm as a classification algorithm. In its application, this expert system application uses a combination of datasets from the Gotong Royong Surabaya Hospital and public references with a total of 70 rows of data. This algorithm model training uses a ratio of training data to training data, namely 80:20 with an accuracy obtained of 100% and from the confusion matrix evaluation the results obtained were precision of 1.00, recall of 1.00, and f1 score of 1.00. From the results of the accuracy of model training and algorithm evaluation using a confusion matrix, it can be said that the implementation of the Diabetes Mellitus expert system using the Random Forest algorithm is suitable and accurate.
Implementasi Teknologi QR Code Tokoh Pahlawan Dalam Kegiatan Belajar Mengajar Di SD Katolik Yohanes Gabriel Sidodadi, Blitar Pramananditya, Benedicto Reinaldy; Wahyuningsih, Yulia; Hayong, Emanuel Amstrong; Gracitwo, Brielt Bella
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 7, No 1 (2024): Januari 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i1.2856

Abstract

Technological advances in the modern era are now becoming a trend in the lives of every individual and in various fields. One of them is QR (Quick Response) Code technology in the Android-based Heroes application. This research explains the community service program, especially for partners at Yohanes Gabriel Catholic Elementary School located in Sidodadi, Garum District, Blitar Regency. Our service is by creating an application that contains sketches of the faces of Indonesian Heroes and their struggles both before and after independence, wrapped in short videos. The method used is face-to-face where we provide guidance to teachers in using the application we created and provide outreach to elementary school students regarding the application created. With this application which utilizes the latest technology, it has had a positive impact, especially for our partners at Yohanes Gabriel Catholic Elementary School, where the elementary school teachers can use the application we created in their teaching and learning activities..            Keywords: QR code; community service; android
Co-Authors Gracitwo, Brielt Bella Hayong, Emanuel Amstrong Wahyuningsih, Yulia