Albrecht Yordanus Erwin Dodu
Universitas Tadulako

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Journal : ILKOM Jurnal Ilmiah

Pendeteksian Kerusakan Printer menggunakan Metode Forward Chaining Amriana Amriana; Albrecht Yordanus Erwin Dodu; Pebri Ramadhan Mas
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i1.523.47-57

Abstract

As technology advances, almost everyone has a printer in their home as a printing aid. but not a few printers that have small or big problems. with this technological advancement, almost all people have personal smarthpones. This research aims to build a moble based system where users can solve printer problems by using applications on their smartphones based on knowledge obtained from experts created by the Forward Chaining method. This expert system can detect nine different types of printers owned by Canon manufacturers with total of 26 Problem and 38 symptomps and has an 80 % of accuracy.
SISTEM PENENTUAN RUTE PENDISTRIBUSIAN PRODUK AIR MINERAL MENGGUNAKAN ALGORITMA ANT COLONY SYSTEM Deny Wiria Nugraha; Albrecht Yordanus Erwin Dodu; Stevi Septiana
ILKOM Jurnal Ilmiah Vol 11, No 2 (2019)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i2.418.86-94

Abstract

The problem of determining distribution routes can be categorized as Traveling Salesman Problem (TSP). TSP is a search for a sequence of locations where a salesman travels from the initial location to a list of locations which must be passed. Each location can only be visited once and ends at the initial location of departure. This study aims to resolve the problem of determining the distribution route for mineral water products at PT. Anugerah Wina Sentosa by implementing the Ant Colony System (ACS) algorithm to conduct route searches. The ACS algorithm is an algorithm adopted from the behavior of ants to determine the shortest route from the nest to the food source. Based on the research, the results of the ACS algorithm show that the greater the case to be resolved will affect the system execution time but still can produce the best distance route. The success of this algorithm is influenced by the determination of the value of the ACS parameter, namely β, qo, q, α, 𐐙, the number of ants and the number of ant cycles determined by analyzing the TSP case to be resolved.