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All Journal Foristek JURNAL SISTEM INFORMASI BISNIS ScientiCO : Computer Science and Informatics Journal
Dodu, A. Y. Erwin
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : ScientiCO : Computer Science and Informatics Journal

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SISTEM PENJADWALAN PERKULIAHAN MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION PADA JURUSAN TEKNOLOGI INFORMASI FAKULTAS TEKNIK UNIVERSITAS TADULAKO Nugraha, Deny Wiria; Dodu, A. Y. Erwin; Paloloang, Muhammad Fairus B.
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Scheduling lectures is a very important activity to do because all teaching and learning activities depend on the schedule so that it must be done correctly in order not to interfere the teaching and learning activities between lecturers and students. This study aims to implement the Particle Swarm Optimization algorithm to create a scheduling system for the lectures at the Information Technology Department, Faculty of Engineering, Tadulako University which can facilitate the scheduling process of the lectures and can produce optimal schedules. The scheduling system made will follow the rules and policies which are applied at Tadulako University. The Particle Swarm Optimization algorithm can be used for scheduling system for the lectures at the Information Technology Department, Faculty of Engineering, Tadulako University, although it cannot yet produce an optimal solution because there are still soft constraints that are violated. The best combination of parameter values in the Particle Swarm Optimization algorithm, namely the parameter value w = 0.7, c1 = 1.5, c2 = 1.5 with a successful schedule made with a fitness value of 0.034 with execution time (214).
Penerapan Data Mining Untuk Mendeteksi Tingkatan Stadium Penyakit Human Immunodeficiency Virus / Acquired Immune Deficiency Syndrome (Hiv/Aids) Menggunakan Algoritma Naive Bayes Classifier (Studi Kasus Pada Rumah Sakit Umum Daerah (Rsud) Anutapura Palu) Dodu, A. Y. Erwin; Nugraha, Deny Wiria; Ayyub, Mohammad Azhar
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

At Anutapura Palu General Hospital (Hospital) Anutapura Palu to perform stadium detection still using Ms.Excel application with the result of detection is still manually input, to overcome the problem the author aims to make data mining applications to detect the stage of HIV / AIDS by applying Naive Bayes algorithm with output / output result of stadium 1, stadium 2, stadium 3 and stadium 4. The research data was obtained at Anutapura Palu General Hospital (RSU) from 305 HIV / AIDS patients. Existing data were analyzed using Naive Bayes algorithm and using 11 features. Naive Bayes aims to classify data in a particular class, then the pattern can be used to determine the level of stadium suffered by HIV / AIDS patients.
Co-Authors Ayyub, Mohammad Azhar Deny Wiria Nugraha Paloloang, Muhammad Fairus B. Putra, Subkhan Dinda Yusuf Anshori