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PEMBUATAN MATERI PEMBELAJARAN MULTIMEDIA INTERAKTIF BAGI KELOMPOK GURU MADRASAH TSANAWIAH DI KABUPATEN SIGI Anshori, Yusuf; Dodu, A. Y. Erwin
FORISTEK : Forum Teknik Elektro dan Teknologi Informasi Vol 4, No 2 (2014)
Publisher : FORISTEK : Forum Teknik Elektro dan Teknologi Informasi

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Abstract

Education curriculum requires that teachers can take advantage of information and communication technologies in education. The reality there are many teachers who have not been able to operate and use information and communication technologies, especially in terms of learning. The activities of Ipteks Bagi Masyarakat aims to improve the knowledge of teachers in the using of information and communication technologies in terms of making the learning material. The method used is the training, evaluation and mentoring. Knowledge transfer that is making learning materials using Microsoft Office PowerPoint, Wondershare Quiz Creator and Adobe After Effect. Base on assessment and mentoring, from 20 teacher trainees, about 85% of teachers can operate and use Microsoft Office applications Powerpoint, Wondershare Quiz Creator and able to create interactive multimedia learning materials. Keywords:Kurikulum, pembelajaran, ipteks bagi masyarakat, wondershare quiz creator, multimedia interaktif.
Penjadwalan Tenaga Kebidanan Menggunakan Algoritma Memetika Dodu, A. Y. Erwin; Nugraha, Deny Wiria; Putra, Subkhan Dinda
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.225 KB) | DOI: 10.21456/vol8iss1pp99-106

Abstract

The problem of midwife scheduling is one of the most frequent problems in hospitals. Midwife should be available 24 hours a day for a full week to meet the needs of the patient. Therefore, good or bad midwife scheduling result will have an impact on the quality of care on the patient and the health of the midwife on duty. The midwife scheduling process requires a lot of time, effort and good cooperation between some parties to solve this problem that is often faced by the Regional Public Hospital Undata Palu Central Sulawesi Province. This research aimed to apply Memetics algorithm to make scheduling system of midwifery staff at Regional Public Hospital Undata Palu Central Sulawesi Province that can facilitate the process of midwifery scheduling as well as to produce optimal schedule. The scheduling system created will follow the rules and policies applicable in the hospital and will also pay attention to the midwife's preferences on how to schedule them according to their habits and needs. Memetics algorithm is an optimization algorithm that combines Evolution Algorithm  and Local Search method. Evolution Algorithm in Memetics Algorithm generally refers to Genetic Algorithm so that the characteristics of Memetics Algotihm are identical with  Genetic Algorithm characteristics with the addition of Local Search methods. Local Search in Memetic Algorithm aims to improve the quality of an individual so it is expected to accelerate the time to get a solution.
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.