Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal EECCIS
Purnomo Budi Santoso
Unknown Affiliation
Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal EECCIS

 1 
Penerapan Case Based Reasoning pada Sistem Pendukung Keputusan Penanganan Komplain Penyewa Mall (Studi Kasus : Maspion Square Mall, Surabaya) Meivi Kartikasari; Purnomo Budi Santoso; Erni Yudaningtyas
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.763 KB)

Abstract

Abstract-One of the factors affecting the level of satisfaction of tenants in a mall is the speed and accuracy of the services provided by the manager of the mall, especially in terms of the handling of complaints. Case Based Reasoning is a method to resolve the issues with respect to the same events in the past, then use the knowledge or information to solve new problems. This research aims to develop a Decision Support System with Case Based Reasoning method to improve complaint handling services to tenants mall. Results of this research is a prototype complaint management system called SIPENKOM that can generate output solutions for new cases based on similar old cases. Based on test to tenants and management of Maspion Square Mall, SIPENKOM can improve complaint handling services by approximately 85%. Keywords-Decision Support Systems, Case Based Reasoning, Similarity.
Analisis Kinerja Algoritma C4.5 Pada Sistem Pendukung Keputusan Penentuan Jenis Pelatihan Chaulina Alfianti Oktavia; Rahmadwati Rahmadwati; Purnomo Budi Santoso
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.995 KB)

Abstract

Abstract - This study describes the application of the algorithm C4.5 on decision support systems to support trainees in PPTIK STIKI Malang in choosing the appropriate type of training. Decision support system based on several criteria derived from the data filled out by participants prior to register as a participant. Further analysis using an algorithm that is used to form a C4.5 decision tree. The decision tree is a method of classification and prediction that represent rules. the rule is then developed using RGFDT (Rule Generation From Decision Tree). Results of testing done by comparing the system with Weka and showed an accuracy of 90%.Keywords—Algorithm C4.5, Decision Support System, RGFDT
Co-Authors Erni Yudaningtyas Meivi Kartikasari Rahmadwati Rahmadwati