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Journal : ScientiCO : Computer Science and Informatics Journal

Implementasi Algoritma Dijkstra Dalam Pembuatan Aplikasi Pesona Palu Anshori, Yusuf; Joefrie, Yuri Yudhaswana; Nadyanti, Nadyanti
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

This study aims to build application that is able to provide information on the location of culinary tourism, shopping and recreation center for the area of Palu City that runs on the Android platform and able to show the closest path to be traversed in order to help tourists or newcomers who are not too familiar with the city of Palu. Determination of the shortest route in this application using Dijkstra algorithm. This algorithm is used to find the shortest path on a directed graph. This algorithm uses the Greedy principle which states that at each step we choose the minimum-weighted side and put it into the solution set.
Penerapan Data Mining Untuk Pengelompokan Hasil Diagnosa Penyakit Pasien Pengguna BPJS Kesehatan (Studi Kasus Pada Rsud Undata Palu) Amriana, Amriana; Joefrie, Yuri Yudhaswana; Meidji, Farah Nabila
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was conducted to process medical record data in RSUD Undata of central Sulawesi province, for some BPJS Kesehatan insurance member. Medical record contain information about identity and medical history by patient  in Hospital or community health center (Puskesmas). Medical records have disease information by patients encoded according to WHO standart. The code is called ICD (International Classification of Disease) and this research use C4.5 Algorithm as Classification method to process patient medical record which then uses address attributes, gender, age and disease diagnosis (ICD-10). Of the five attributes are groupings then processed into group of age, regional and icd. The result of this studi can find patterns of disease tendency that most suffered by people in a region.